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ORCIDCoRR, February 2022
- Samuele Marro, Luca Donno:
Green NFTs: A Study on the Environmental Impact of Cryptoart Technologies. - John Chiang:
On Polynomial Approximation of Activation Function. - Daryll Ralph D'Costa, Robert Abbas:
5G enabled Mobile Edge Computing security for Autonomous Vehicles. - Chi Hong, Jiyue Huang, Lydia Y. Chen:
MEGA: Model Stealing via Collaborative Generator-Substitute Networks. - Sayantan Kumar:
Identifying Interpretable Clinical Subtypes withinHeterogeneous Dementia Clinic Population. - Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Learning Fair Representations via Rate-Distortion Maximization. - Natasha Alkhatib, Maria Mushtaq, Hadi Ghauch, Jean-Luc Danger:
AVTPnet: Convolutional Autoencoder for AVTP anomaly detection in Automotive Ethernet Networks. - Stella Bounareli, Vasileios Argyriou, Georgios Tzimiropoulos:
Finding Directions in GAN's Latent Space for Neural Face Reenactment. - Zhenpeng Zhao, Niklas Elmqvist:
The Stories We Tell About Data: Media Types for Data-Driven Storytelling. - Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou:
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data. - Shivam Garg, Alexander Ihler, Sunil Kumar:
Accurate Link Lifetime Computation in Autonomous Airborne UAV Networks. - Md Rajib Hossen, Mohammad A. Islam:
A Lightweight Workload-Aware Microservices Autoscaling with QoS Assurance. - Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener:
SnAKe: Bayesian Optimization with Pathwise Exploration. - Andrea Medaglia, Andrea Tosin, Mattia Zanella:
Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties. - Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun:
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach. - Moeen Mostafavi, Michael D. Porter, Dawn T. Robinson:
Learning affective meanings that derives the social behavior using Bidirectional Encoder Representations from Transformers. - Anders Sundnes Løvlie, Astrid Waagstein, Peter Hyldgård:
"How trustworthy is this research?" Designing a Tool to Help Readers Understand Evidence and Uncertainty in Science Journalism. - Ege Berkay Gulcan, Fazli Can:
Implicit Concept Drift Detection for Multi-label Data Streams. - Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun:
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. - Tiangang Cui, Xin Tong, Olivier Zahm:
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems. - Zihui Xue, Yuedong Yang, Mengtian Yang, Radu Marculescu:
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning. - Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson:
You May Not Need Ratio Clipping in PPO. - Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. - Elynn Y. Chen, Rui Song, Michael I. Jordan:
Reinforcement Learning with Heterogeneous Data: Estimation and Inference. - Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona:
Understanding AdamW through Proximal Methods and Scale-Freeness. - Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe:
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. - Bao Tran Truong, Oliver Melbourne Allen, Filippo Menczer:
News Sharing Networks Expose Information Polluters on Social Media. - Ruo-Qian Wang, Yangmin Ding:
Semi-supervised Identification and Mapping of Surface Water Extent using Street-level Monitoring Videos. - Amir Shirian, Krishna Somandepalli, Tanaya Guha:
Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data. - Mohammad Amin Haghpanah, Ehsan Saeedizade, Mehdi Tale Masouleh, Ahmad Kalhor:
Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks. - Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson:
Generalization in Cooperative Multi-Agent Systems. - Andrew Corbett, Dmitry Kangin:
Imbedding Deep Neural Networks. - Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. - Aleksandr Perevalov, Dennis Diefenbach, Ricardo Usbeck, Andreas Both:
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers. - B. G. Kodge:
3D Visualization and Spatial Data Mining for Analysis of LULC Images. - Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty:
Handling Bias in Toxic Speech Detection: A Survey. - Shirin Panahi, Nelson Amaya, Isaac S. Klickstein, Galen Novello, Francesco Sorrentino:
Reply to comment on "Failure of the simultaneous block diagonalization technique applied to complete and cluster synchronization of random networks". - Anirudha Majumdar, Vincent Pacelli:
Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. - Jeff A. Bilmes:
Submodularity In Machine Learning and Artificial Intelligence. - Steven Platt, Berkay Demirel, Miquel Oliver:
Using Transition Learning to Enhance Mobile-Controlled Handoff In Decentralized Future Networks. - Alexey V. Lebedev, Ilya Vorobyev, Vladimir S. Lebedev, Christian Deppe:
Non-adaptive and two-stage coding over the Z-channel. - Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Timo Schenk, Adrian Lars Benjamin Iten, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors. - Pedro H. Azevedo de Amorim:
A Sampling-Aware Interpretation of Linear Logic: Syntax and Categorical Semantics. - Ben Adcock, Juan M. Cardenas, Nick C. Dexter:
An Adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains. - Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth:
Step-size Adaptation Using Exponentiated Gradient Updates. - Aleksey A. Kocherzhenko, Nirmal Sobha Kartha, Tengfei Li, Hsin-Yi Shih, Marco Mandic, Mike Fuller, Arshak Navruzyan:
Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations. - Liyu Chen, Rahul Jain, Haipeng Luo:
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. - Amir Iqbal, Sushant Veer, Yan Gu:
DRS-LIP: Linear Inverted Pendulum Model for Legged Locomotion on Dynamic Rigid Surfaces. - Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar:
Transformer-based Models of Text Normalization for Speech Applications. - Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville:
Fortuitous Forgetting in Connectionist Networks. - Yesheng Zhang, Xu Zhao, Dahong Qian:
Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection. - Sugandha Sharma, Sarthak Chandra, Ila R. Fiete:
Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold. - Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel:
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. - Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li, Usman Sajid:
Dilated Continuous Random Field for Semantic Segmentation. - Priyanka Mandikal, Kristen Grauman:
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. - Emre Sariyildiz:
Design Constraints of Disturbance Observer-based Motion Control Systems are Stricter in the Discrete-Time Domain. - Emre Sariyildiz:
A Unified Robust Motion Controller Synthesis for Compliant Robots Driven by Series Elastic Actuators. - Badr Al Faiya, Dimitrios Athanasiadis, Minjiang Chen, Stephen D. J. McArthur, Ivana Kockar, Haowei Lu, Francisco de León:
A self-organizing multi-agent system for distributed voltage regulation. - James Ivers, Robert L. Nord, Ipek Ozkaya, Chris Seifried, Christopher Steven Timperley, Marouane Kessentini:
Industry Experiences with Large-Scale Refactoring. - Tao Yu, Kiyomichi Araki, Kei Sakaguchi:
Ground Experiment of Full-Duplex Multi-UAV System Enabled by Directional Antennas. - Tao Yu, Kiyomichi Araki, Kei Sakaguchi:
Full-Duplex Aerial Communication System for Multiple UAVs with Directional Antennas. - Tao Yu, Kento Kajiwara, Kiyomichi Araki, Kei Sakaguchi:
Spectrum Sharing between Directional-Antenna- Equipped UAV System and Terrestrial Systems. - Wei-Cheng Tseng, Hung-Ju Liao, Yen-Chen Lin, Min Sun:
CLA-NeRF: Category-Level Articulated Neural Radiance Field. - Jianren Wang, Haiming Gang, Siddarth Ancha, Yi-Ting Chen, David Held:
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. - Ty Trusty, Danny M. Kaufman, David I. W. Levin:
Mixed Variational Finite Elements for Implicit, General-Purpose Simulation of Deformables. - Kurt Leimer, Paul Guerrero, Tomer Weiss, Przemyslaw Musialski:
ATEK: Augmenting Transformers with Expert Knowledge for Indoor Layout Synthesis. - Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, Quanzheng Li:
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. - Haoyuan Fu, Wenqiang Xu, Han Xue, Huinan Yang, Ruolin Ye, Yongxi Huang, Zhendong Xue, Yanfeng Wang, Cewu Lu:
RFUniverse: A Physics-based Action-centric Interactive Environment for Everyday Household Tasks. - Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. - Matthew F. Wipperman, Galen Pogoncheff, Katrina F. Mateo, Xuefang Wu, Yiziying Chen, Oren Levy, Andreja Avbersek, Robin R. Deterding, Sara C. Hamon, Tam Vu, Rinol Alaj, Olivier Harari:
A pilot study of the Earable device to measure facial muscle and eye movement tasks among healthy volunteers. - Masaki Yasuhara, Tomoya Takahashi, Hiroki Maruta, Hiroyuki Saito, Shota Higuchi, Takaaki Nara, Keitaro Takeuchi, Yota Sakai, Kazuki Ishibashi:
INPUT Team Description Paper in 2022. - Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. - Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh:
Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text. - Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. - Arman Rasoodl Faridi, Faraz Masood, Ali Haider Thabet Shamsan, Mohammad Luqman, Monir Yahya Salmony:
Blockchain in the Quantum World. - Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer:
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games. - Anup Rao, Oscar Sprumont:
On List Decoding Transitive Codes From Random Errors. - Kenji Koide, Masashi Yokozuka, Shuji Oishi, Atsuhiko Banno:
Globally Consistent and Tightly Coupled 3D LiDAR Inertial Mapping. - Haresh Karnan, Garrett Warnell, Faraz Torabi, Peter Stone:
Adversarial Imitation Learning from Video using a State Observer. - Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang:
Sequential Search with Off-Policy Reinforcement Learning. - Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa:
ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters. - Tania Sidana, Navin Kashyap:
Entanglement-Assisted Quantum Error-Correcting Codes over Local Frobenius Rings. - Fahina, Shwetha U, Poorna, Supriya, Rama Moorthy H, Vasudeva:
Securing the data in cloud using Algebra Homomorphic Encryption scheme based on updated Elgamal(AHEE). - P. N. Priya, R. Ranjitha, Yashaswini Naik, Shrilekha, Rama Moorthy H:
A Novel Algorithm In Steganography Using Weighted Matching Technique. - P. N. Priya, R. Ranjitha, Yashaswini Naik, Shrilekha, Rama Moorthy H:
A Novel Pair and Matching Algorithm for Embedding Secret Messages in Images. - Shayne Longpre, Julia Reisler, Edward Greg Huang, Yi Lu, Andrew J. Frank, Nikhil Ramesh, Chris DuBois:
Active Learning Over Multiple Domains in Natural Language Tasks. - Chung-Yiu Yau, Hoi-To Wai:
DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning. - Max van Haren, Maurice Poot, Jim Portegies, Tom Oomen:
Position-Dependent Snap Feedforward: A Gaussian Process Framework. - Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu:
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics. - Jathushan Rajasegaran, Chelsea Finn, Sergey Levine:
Fully Online Meta-Learning Without Task Boundaries. - Jens Sjölund, Maria Bånkestad:
Graph-based Neural Acceleration for Nonnegative Matrix Factorization. - Teru Nagamori, Hiroki Ito, April Pyone Maung Maung, Hitoshi Kiya:
Access Control of Object Detection Models Using Encrypted Feature Maps. - Wonyong Jeong, Sung Ju Hwang:
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching. - Axel Sauer, Katja Schwarz, Andreas Geiger:
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets. - Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar:
Architecture Matters in Continual Learning. - Thien Hoang Nguyen, Lihua Xie:
Relative Transformation Estimation Based on Fusion of Odometry and UWB Ranging Data. - Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? - Luca Herranz-Celotti, Jean Rouat:
Surrogate Gradients Design. - Dajana Conte, Gianluca Frasca Caccia:
Exponentially fitted methods with a local energy conservation law. - Thomas Feys, Gilles Callebaut, Liesbet Van der Perre, François Rottenberg:
Measurement-Based Validation of Z3RO Precoder to Prevent Nonlinear Amplifier Distortion in Massive MIMO Systems. - Marvin Geiselhart, Moustafa Ebada, Ahmed Elkelesh, Jannis Clausius, Stephan ten Brink:
Automorphism Ensemble Decoding of Quasi-Cyclic LDPC Codes by Breaking Graph Symmetries. - Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. - Nir Oren
, Bruno Yun, Srdjan Vesic, Murilo S. Baptista:
The Inverse Problem for Argumentation Gradual Semantics. - Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting. - Jinzhang Liu:
Research on Question Classification Methods in the Medical Field. - Zhichao Han, David S. Kammer, Olga Fink:
Learning Physics-Consistent Particle Interactions. - Qiujie Dong, Zixiong Wang, Junjie Gao, Shuang-Min Chen, Zhenyu Shu, Shiqing Xin:
Laplacian2Mesh: Laplacian-Based Mesh Understanding. - Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros:
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation. - Giovanni Barbarino, Carlo Garoni, Mariarosa Mazza, Stefano Serra-Capizzano:
Rectangular GLT Sequences. - Clemens Seibold, Johannes Künzel, Anna Hilsmann, Peter Eisert:
From Explanations to Segmentation: Using Explainable AI for Image Segmentation. - Chen Griner, Gil Einziger, Chen Avin:
Self-Adjusting Ego-Trees Topology for Reconfigurable Datacenter Networks. - Alina Chertock, Pierre Degond, Giacomo Dimarco, Mária Lukácová-Medvid'ová, A. Ruhi:
On a hybrid continuum-kinetic model for complex fluids. - Wei Wei, Jingjing Wang, Jun Du, Zhengru Fang, Chunxiao Jiang, Yong Ren:
Underwater Differential Game: Finite-Time Target Hunting Task with Communication Delay. - Timon Felske, Stefan Lüdtke, Sebastian Bader, Thomas Kirste:
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs. - Olesya Mryglod, Yurij Holovatch, Ralph Kenna:
Big fish and small ponds: why the departmental h-index should not be used to rank universities. - Matteo Marsili, Yasser Roudi:
Quantifying Relevance in Learning and Inference. - Dmitry Mineev, Evgeny Bobrov, Viktor Kuznetsov:
On the Interference Cancellation by Reduced Channel Zero Forcing Class of Precodings in Massive MIMO Systems. - Pierre Carbonnelle, Simon Vandevelde, Joost Vennekens, Marc Denecker:
IDP-Z3: a reasoning engine for FO(.). - Coenraad Mouton, Marelie H. Davel:
Exploring layerwise decision making in DNNs. - Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. - Uday Kusupati, Venkata Ravi Teja Ailavarapu:
Natural Language to Code Using Transformers. - Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. - Amin Abolghasemi, Suzan Verberne, Leif Azzopardi:
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization. - Inna Suvorova:
Deepfake pornography as a male gaze on fan culture. - Markus Lohmayer, Sigrid Leyendecker:
EPHS: A Port-Hamiltonian Modelling Language. - Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie:
NTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint. - Jonas Bei, David Pomerenke, Lukas Schreiner, Sepideh Sharbaf, Pieter Collins, Nico Roos:
Explainable AI through the Learning of Arguments. - Umang Aggarwal, Adrian Popescu, Eden Belouadah, Céline Hudelot:
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning. - Anandhu Suresh, Karnam Venkata Manga Raju:
A Novel Method to Estimate Tilt Angle of a Body using a Pendulum. - Wenhao Sun, Deng Liu, Zhiwei Zou, Wendi Sun, Junpeng Wang, Yi Kang, Song Chen:
Sense: Model Hardware Co-design for Accelerating Sparse Neural Networks. - Umang Aggarwal, Adrian Popescu, Céline Hudelot:
Minority Class Oriented Active Learning for Imbalanced Datasets. - Xiaoting Shao, Karl Stelzner, Kristian Kersting:
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement. - Marcelo Fonseca Faraj, Christian Schulz:
Recursive Multi-Section on the Fly: Shared-Memory Streaming Algorithms for Hierarchical Graph Partitioning and Process Mapping. - Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama:
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification. - Dimosthenis Antypas, Alun D. Preece, José Camacho-Collados:
Politics and Virality in the Time of Twitter: A Large-Scale Cross-Party Sentiment Analysis in Greece, Spain and United Kingdom. - Lidia Aceto, Fabio Durastante:
Efficient computation of the Wright function and its applications to fractional diffusion-wave equations. - Karla Markert, Donika Mirdita, Konstantin Böttinger:
Language Dependencies in Adversarial Attacks on Speech Recognition Systems. - Shaan ul Haque, Siddharth Chandak, Federico Chiariotti, Deniz Gündüz, Petar Popovski:
Learning to Speak on Behalf of a Group: Medium Access Control for Sending a Shared Message. - Quentin Possamaï, Steeven Janny, Guillaume Bono, Madiha Nadri, Laurent Bako, Christian Wolf:
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements. - Krzysztof Sadowski, Michal Szarmach, Eddie Mattia:
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings. - Patrick M. Jensen, Niels Jeppesen, Anders B. Dahl, Vedrana Andersen Dahl:
Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer Vision. - Jie Chen, Weiqi Liu, Jian Pu:
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination. - Colin McDonagh:
Counting Unreachable Single-Side Pawn Diagrams with Limitless Captures. - Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci:
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. - Weiyang Wang, Moein Khazraee, Zhizhen Zhong, Zhijao Jia, Dheevatsa Mudigere, Ying Zhang, Anthony Kewitsch, Manya Ghobadi:
TopoOpt: Optimizing the Network Topology for Distributed DNN Training. - Jiayao Zhang, Hongming Zhang, Dan Roth, Weijie J. Su:
Causal Inference Principles for Reasoning about Commonsense Causality. - Georgii S. Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Dimitrov, Ivan V. Oseledets:
Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction. - Ildikó Pilán, Pierre Lison, Lilja Øvrelid, Anthi Papadopoulou, David Sánchez, Montserrat Batet:
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization. - Gauthier Tallec, Arnaud Dapogny, Kevin Bailly:
Multi-Order Networks for Action Unit Detection. - Chengliang Zhong, Chao Yang, Jinshan Qi, Fuchun Sun, Huaping Liu, Xiaodong Mu, Wenbing Huang:
Sim2Real Object-Centric Keypoint Detection and Description. - Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
Evaluating Feature Attribution: An Information-Theoretic Perspective. - Liang Liao, Sen Lin, Lun Li, Xiuwei Zhang, Song Zhao, Yan Wang, Xinqiang Wang, Qi Gao, Jingyu Wang:
Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra. - Naoki Ide, Masayuki Ohzeki:
Sparse Signal Reconstruction with QUBO Formulation in l0-regularized Linear Regression. - Caroline S. Wagner, Xiaojing Cai:
Changes in co-publication patterns among China, the European Union (28) and the United States of America, 2016-2021. - Abhijith Neil Abraham, Fariz Rahman, Damanpreet Kaur:
TableQuery: Querying tabular data with natural language. - Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu:
HCSC: Hierarchical Contrastive Selective Coding. - Giambattista Albora, Andrea Zaccaria:
Firm-based relatedness using machine learning. - Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen:
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. - Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang:
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus. - Chenghao Fan, Ziao Li, Wei Wei:
Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning. - Konstantin Todorov, Giovanni Colavizza:
An Assessment of the Impact of OCR Noise on Language Models. - (Withdrawn) Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study.
- Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Mihai Surdeanu:
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction. - Yue Tong Leung, Farzad Khalvati:
Exploring COVID-19 Related Stressors Using Topic Modeling. - Ülkü Tuncer Küçüktas, Fatih Uysal, Firat Hardalaç, Ismail Biri:
Detection of Increased Time Intervals of Anti-Vaccine Tweets for COVID-19 Vaccine with BERT Model. - Tanish Tyagi:
NeuraHealthNLP: An Automated Screening Pipeline to Detect Undiagnosed Cognitive Impairment in Electronic Health Records with Deep Learning and Natural Language Processing. - Alvin Chaidrata, Mariyam Imtha Shafeeu, Sze Ker Chew, Zhiyuan Chen, Jin Sheng Cham, Zi Li Yong, Uen Hsieh Yap, Dania Imanina Binti Kamarul Bahrin:
Intent Matching based Customer Services Chatbot with Natural Language Understanding. - Asadullah Al Galib:
RabindraNet, Creating Literary Works in the Style of Rabindranath Tagore. - Teng Wang:
Auto-ABSA: Automatic Detection of Aspects in Aspect-Based Sentiment Analysis. - Carl Allen:
Towards a Theoretical Understanding of Word and Relation Representation. - Oren Fivel:
Analysis of Linear Time-Varying & Periodic Systems. - Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan:
A Framework for Server Authentication using Communication Protocol Dialects. - Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang:
Fine-grained differentiable physics: a yarn-level model for fabrics. - Mohammad Hassan Adeli, Alphan Sahin:
Multi-cell Non-coherent Over-the-Air Computation for Federated Edge Learning. - Tim Salimans, Jonathan Ho:
Progressive Distillation for Fast Sampling of Diffusion Models. - Stephany Rajeh, Ali Yassin, Ali Jaber, Hocine Cherifi:
Analyzing Community-aware Centrality Measures Using The Linear Threshold Model. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Comparing Community-aware Centrality Measures in Online Social Networks. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Identifying Influential Nodes Using Overlapping Modularity Vitality. - Jacob D. Baron, R. W. R. Darling:
Empirical complexity of comparator-based nearest neighbor descent. - Zhaoning Yu, Hongyang Gao:
MotifExplainer: a Motif-based Graph Neural Network Explainer. - Adolfo R. Escobedo:
Fast and Exact Matrix Factorization Updates for Nonlinear Programming. - Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat:
Examining Scaling and Transfer of Language Model Architectures for Machine Translation. - Zhaoning Yu, Hongyang Gao:
Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction. - Yi Zhou, Liangcai Zhou, Di Shi, Xiaoying Zhao:
Coordinated Frequency Control through Safe Reinforcement Learning. - Daoming Lyu, Bo Liu, Jianshu Chen:
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent. - Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang:
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Maximum Batch Frobenius Norm for Multi-Domain Text Classification. - Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar:
The impact of removing head movements on audio-visual speech enhancement. - Toktam A. Oghaz, Ivan Garibay:
Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media. - Louis Esperet, Sergey Norin:
Testability and local certification of monotone properties in minor-closed classes. - Mariia Seleznova, Gitta Kutyniok:
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization. - Benton J. Anderson, Jesse G. Meyer:
Finding the optimal human strategy for Wordle using maximum correct letter probabilities and reinforcement learning. - Frazer Chard, Cayo Fletcher-Smith:
Blockchain scalability for smart contract systems using eUTXO model. - Alexander Neb, Iyed Briki, Raoul Schönhof:
Development of a neural network to recognize standards and features from 3D CAD models. - Andrés M. Rueda-Ramírez, Will Pazner, Gregor J. Gassner:
Subcell limiting strategies for discontinuous Galerkin spectral element methods. - Philip Smith, Vitaliy Kurlin:
Families of point sets with identical 1D persistence. - Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein:
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. - Shaymaa Abdulla Al-Delayel:
Security Analysis of Mobile Banking Application in Qatar. - Antonino Favano, Luca Barletta, Alex Dytso:
On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel. - A. Das, S. R. Das, J. P. Panda, Ankita Dey, K. K. Gajrani, N. Somani, N. Gupta:
Machine learning based modelling and optimization in hard turning of AISI D6 steel with newly developed AlTiSiN coated carbide tool. - Sigrun May, Sven Hartmann, Frank Klawonn:
Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes. - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Bayesian Persuasion Meets Mechanism Design: Going Beyond Intractability with Type Reporting. - Manuel Parra-Royon, Francisco Javier Baldan, Ghislain Atemezing, José Manuel Benítez:
Semantic of Cloud Computing services for Time Series workflows. - Alessandro Artale, Andrea Mazzullo, Ana Ozaki:
First-order Temporal Logic on Finite Traces: Semantic Properties, Decidable Fragments, and Applications. - Thomas Kingsford:
A General, Evolution-Inspired Reward Function for Social Robotics. - Vijay V. Vazirani:
Insights into the Core of the Assignment Game via Complementarity. - Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner:
Regret Minimization with Performative Feedback. - Sven Burdorf, Karoline Plum, Daniel Hasenklever:
Reducing the Amount of Real World Data for Object Detector Training with Synthetic Data. - Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu:
Efficient Policy Space Response Oracles. - Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon:
Differentially Private Community Detection for Stochastic Block Models. - Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. - Jason P. Bell:
Topological invariants for words of linear factor complexity. - Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok:
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. - Priyanka Kaswan, Sennur Ulukus:
Timely Gossiping with File Slicing and Network Coding. - Daniel Flam-Shepherd, Alexander Zhigalin, Alán Aspuru-Guzik:
Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning. - Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge J. Belongie:
Stay Positive: Non-Negative Image Synthesis for Augmented Reality. - Klemen Kotar, Roozbeh Mottaghi:
Interactron: Embodied Adaptive Object Detection. - Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner:
Questions for Flat-Minima Optimization of Modern Neural Networks. - Nguyen Phong Hoang, Michalis Polychronakis, Phillipa Gill:
Measuring the Accessibility of Domain Name Encryption and Its Impact on Internet Filtering. - Brandon Amos:
Tutorial on amortized optimization for learning to optimize over continuous domains. - Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell:
Typical Decoding for Natural Language Generation. - Johan Edstedt, Mårten Wadenbäck, Michael Felsberg:
Deep Kernelized Dense Geometric Matching. - Karla Markert, Romain Parracone, Mykhailo Kulakov, Philip Sperl, Ching-Yu Kao, Konstantin Böttinger:
Visualizing Automatic Speech Recognition - Means for a Better Understanding? - Eduardo M. Vasconcelos:
Just Another Method to Compute MTTF from Continuous Time Markov Chain. - Amir Ardalan Kalantari, Mohammad Amini, Sarath Chandar, Doina Precup:
Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers. - Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen:
Should I take a walk? Estimating Energy Expenditure from Video Data. - Cheng-Hsiang Chiu, Tsung-Wei Huang, Zizheng Guo, Yibo Lin:
Pipeflow: An Efficient Task-Parallel Pipeline Programming Framework using Modern C++. - Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Personalized Federated Learning via Convex Clustering. - Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Gradient Based Clustering. - Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff:
Physical Design using Differentiable Learned Simulators. - Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox:
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. - Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz:
Framework for Evaluating Faithfulness of Local Explanations. - Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. - Zhijing Li, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson:
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators. - Nishai Kooverjee, Steven James, Terence L. van Zyl:
Investigating Transfer Learning in Graph Neural Networks. - Dario Stabili, Raffaele Romagnoli, Mirco Marchetti, Bruno Sinopoli, Michele Colajanni:
Exploring the consequences of cyber attacks on Powertrain Cyber Physical Systems. - Reiner Jung, Sven Gundlach, Wilhelm Hasselbring:
Thematic Domain Analysis for Ocean Modeling. - Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar:
An Empirical Study of Modular Bias Mitigators and Ensembles. - Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi:
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation. - Justin Cano, Jerome Le Ny:
Ranging-Based Localizability-Constrained Deployment of Mobile Robotic Networks. - Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur:
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. - Mark Loveland, Eirik Valseth, Matt Lukac, Clint N. Dawson:
Extending FEniCS to Work in Higher Dimensions Using Tensor Product Finite Elements. - Alejandro Fontán, Laura Oliva-Maza, Javier Civera, Rudolph Triebel:
A Model for Multi-View Residual Covariances based on Perspective Deformation. - Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong:
Distributional Reinforcement Learning via Sinkhorn Iterations. - Kyrylo Kolodiazhnyi:
Local Feature Matching with Transformers for low-end devices. - Mohamed Khalid M. Jaffar, Michael W. Otte:
PiP-X: Online feedback motion planning/replanning in dynamic environments using invariant funnels. - Bradley McDanel, Helia Dinh, John Magallanes:
Accelerating DNN Training with Structured Data Gradient Pruning. - Timothy W. Hostetler, Shinyi Chen, Sergi Blanco-Cuaresma, Alberto Accomazzi, Michael J. Kurtz, Carolyn S. Grant, Edwin A. Henneken, Donna M. Thompson, Roman Chyla, Golnaz Shapurian, Matthew R. Templeton, Kelly E. Lockhart, Nemanja Martinovic, Stephen McDonald, Félix Grèzes:
Web accessibility trends and implementation in dynamic web applications. - Caroline S. Wagner, Lin Zhang, Loet Leydesdorff:
A discussion of measuring the top-1 percent most-highly cited publications: Quality and impact of Chinese papers. - Yunjae Hwang, Laura Kwong, Mohammad Saeed Munim, Fosiul Alam Nizame, Stephen Luby, Catherine Gorlé:
Modeling ventilation in a low-income house in Dhaka, Bangladesh. - Peizhao Li, Hongfu Liu:
Achieving Fairness at No Utility Cost via Data Reweighing. - Jiawei Xu, Diego F. Salazar-D'Antonio, David Saldaña:
Modular Multi-Rotors: From Quadrotors to Fully-Actuated Aerial Vehicles. - Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm:
Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making. - Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
On Regularizing Coordinate-MLPs. - Edwin Goh, Jingdao Chen, Brian Wilson:
Mars Terrain Segmentation with Less Labels. - Domenic Rosati:
Learning to pronounce as measuring cross-lingual joint orthography-phonology complexity. - Anh Duc Le:
Disaster Tweets Classification using BERT-Based Language Model. - Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. - Elizabeth Hou, Joanna Brown, John Fisher:
Hierarchical Entity Alignment for Attribute-Rich Event-Driven Graphs. - Shubham Atreja, Libby Hemphill, Paul Resnick:
What is the Will of the People? Moderation Preferences for Misinformation. - Xinyu Chen, Ian Beaver:
A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts. - Ferran Vidal-Codina, Nicolas Evans, Bahaeddine El Fakir, Johsan Billingham:
Automatic event detection in football using tracking data. - Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang:
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. - Tatsuya Chuman, Hitoshi Kiya:
Security Evaluation of Block-based Image Encryption for Vision Transformer against Jigsaw Puzzle Solver Attack. - Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang:
Federated Learning Challenges and Opportunities: An Outlook. - Hongwei Jin, Xun Chen:
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. - Janek Gödeke, Gaël Rigaud:
Imaging based on Compton scattering: model-uncertainty and data-driven reconstruction methods. - Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher:
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. - H. J. Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake:
Do Differentiable Simulators Give Better Policy Gradients? - Tom Blau, Edwin V. Bonilla, Amir Dezfouli, Iadine Chades:
Optimizing Sequential Experimental Design with Deep Reinforcement Learning. - Hunter Lang, Monica Agrawal, Yoon Kim, David A. Sontag:
Co-training Improves Prompt-based Learning for Large Language Models. - Wesley Joon-Wie Tann:
Quantum Remote Entanglement for Medium-Free Secure Communication? - Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi:
Algorithms for Efficiently Learning Low-Rank Neural Networks. - (Withdrawn) On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array.
- Anne Harrington, Arturo Deza:
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks. - Jiawei Lu, He Wang, Tianjia Shao, Yin Yang, Kun Zhou:
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction. - Josh Johnston, Tim Andersen:
Random Processes with High Variance Produce Scale Free Networks. - Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan:
Adaptive Experimentation with Delayed Binary Feedback. - Bo Zhang, Jiayao Zhang:
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. - Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Active Audio-Visual Separation of Dynamic Sound Sources. - Yixin Cao, Jianxin Wang, Hanchun Yuan:
Modification Problems toward Proper (Helly) Circular-arc Graphs. - Yuchi Huo:
Extension: Adaptive Sampling with Implicit Radiance Field. - Greg Ongie, Rebecca Willett:
The Role of Linear Layers in Nonlinear Interpolating Networks. - Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu:
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods. - Yan Gao, Qimeng Wang, Xu Tang, Haochen Wang, Fei Ding, Jing Li, Yao Hu:
Decoupled IoU Regression for Object Detection. - Youngsun Wi, Pete Florence, Andy Zeng, Nima Fazeli:
VIRDO: Visio-tactile Implicit Representations of Deformable Objects. - Ramya Burra, Chandramani Singh, Joy Kuri:
Service Scheduling for Random Requests with Quadratic Waiting Costs. - Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. - Younes Karimi, Anna Cinzia Squicciarini, Peter K. Forster, Kira M. Leavitt:
A Longitudinal Dataset of Twitter ISIS Users. - Younes Karimi, Anna Cinzia Squicciarini, Shomir Wilson:
Automated Detection of Doxing on Twitter. - Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, Yaser P. Fallah:
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic. - Syed Adnan Yusuf, Abdulmalik Ali Aldawsari, Riad Souissi:
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts. - Zengrui Liu, Umar Iqbal, Nitesh Saxena:
Opted Out, Yet Tracked: Are Regulations Enough to Protect Your Privacy? - Yifu Wang, Wenqing Jiang, Kun Huang, Sören Schwertfeger, Laurent Kneip:
Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraint. - Kirill Aleksandrovich Bashmur, Vadim Sergeevich Tynchenko, Vladimir Viktorovich Bukhtoyarov, Mikhail V. Saramud:
Choice of technology and evaluation of the production capabilities of a 3d printer robot for creating elements of experimental equipment for the production of biofuel components. - Kirill Aleksandrovich Bashmur, V. S. Tynchenko, V. V. Bukhtoyarov, M. V. Saramud:
Robot-printer for creating elements of technological equipment for the production of components of biofuel compositions. - Michal Konecný, Sewon Park, Holger Thies:
Extracting efficient exact real number computation from proofs in constructive type theory. - Takehiro Tanaka, Alon Harell, Ivan V. Bajic:
Does Video Compression Impact Tracking Accuracy? - Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun:
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces. - Richard Bean:
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge. - Pierre Carbonnelle, Matthias van der Hallen, Marc Denecker:
Quantification and aggregation over concepts of the ontology. 213-226 - Willem Conradie, Andrea De Domenico, Krishna Manoorkar, Alessandra Palmigiano, Mattia Panettiere, Daira Pinto Prieto, Apostolos Tzimoulis:
Modal reduction principles across relational semantics. - Nikunj Arora, Markku Suomalainen, Matti Pouke, Evan G. Center, Katherine J. Mimnaugh, Alexis P. Chambers, Sakaria Pouke, Steven M. LaValle:
Augmenting Immersive Telepresence Experience with a Virtual Body. - Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly:
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. - Naman Shah, Siddharth Srivastava:
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. - Ankit Katiyar, Arnav Bhavsar:
Image Forgery Detection with Interpretability. - Hao Shi, Yifan Zhou, Kailun Yang, Xiaoting Yin, Kaiwei Wang:
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving. - Yifang Chen, Simon S. Du, Kevin Jamieson:
Active Multi-Task Representation Learning. - Ankit Grover, Vaishali Yadav, Bradly Alicea:
Flipping the switch on local exploration: Genetic Algorithms with Reversals. - Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim:
Lipschitz-constrained Unsupervised Skill Discovery. - Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe:
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. - Sharif Azem, Anam Tahir, Heinz Koeppl:
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. - George Stamatakis, Nikolaos Pappas, Alexandros G. Fragkiadakis, Apostolos Traganitis:
Semantics-Aware Active Fault Detection in Status Updating Systems. - Jannik Fischbach, Julian Frattini, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner, Andreas Wehrle, Pablo Restrepo Henao, Parisa Yousefi, Tedi Juricic, Jeannette Radduenz, Carsten Wiecher:
Automatic Creation of Acceptance Tests by Extracting Conditionals from Requirements: NLP Approach and Case Study. - Patrick Kolpaczki, Viktor Bengs, Eyke Hüllermeier:
Non-Stationary Dueling Bandits. - Selim Amrouni, Aymeric Moulin, Tucker Balch:
CTMSTOU driven markets: simulated environment for regime-awareness in trading policies. - Mojtaba Bemana, Karol Myszkowski, Jeppe Revall Frisvad, Hans-Peter Seidel, Tobias Ritschel:
Eikonal Fields for Refractive Novel-View Synthesis. - Johannes von Lindheim:
Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters. - Eunjeong Jeong, Matteo Zecchin, Marios Kountouris:
Asynchronous Decentralized Learning over Unreliable Wireless Networks. - Bulut Kuskonmaz, Jaron Skovsted Gundersen, Rafal Wisniewski:
Investigation of Alternative Measures for Mutual Information. - Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. - Yifan Hou, Guoji Fu, Mrinmaya Sachan:
Understanding Knowledge Integration in Language Models with Graph Convolutions. - Hai Dang, Lukas Mecke, Daniel Buschek:
GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information. - Hongyang Du, Dusit Niyato, Yuan-Ai Xie, Yanyu Cheng, Jiawen Kang, Dong In Kim:
Performance Analysis and Optimization for Jammer-Aided Multi-Antenna UAV Covert Communication. - Vali Tawosi, Afnan A. Al-Subaihin, Rebecca Moussa, Federica Sarro:
A Versatile Dataset of Agile Open Source Software Projects. - Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar:
Robust Training of Neural Networks using Scale Invariant Architectures. - Mehrasa Ahmadipour, Michèle A. Wigger, Mari Kobayashi:
Coding for Sensing: An Improved Scheme for Integrated Sensing and Communication over MACs. - Mostafa M. Mohamed, Björn W. Schuller:
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems. - Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin, Elnur Gasanov, Zhize Li, Eduard Gorbunov:
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. - Prateek Gupta, Young-Rong Kim, Sverre Steen, Adil Rasheed:
Data Processing Framework for Ship Performance Analysis. - Luca Morando, Carmine Tommaso Recchiuto, Jacopo Calla, Paolo Scuteri, Antonio Sgorbissa:
Thermal and Visual Tracking of Photovoltaic Plants for Autonomous UAV inspection. - Rouaa Diab, Aravindh Krishnamoorthy, Robert Schober:
Precoding and Decoding Schemes for Downlink MIMO-RSMA with Simultaneous Diagonalization and User Exclusion. - Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar:
Auto-Transfer: Learning to Route Transferrable Representations. - Ibe Chukwuemeka Emmanuel, Ekaterina Mitrofanova:
Fairness of Machine Learning Algorithms in Demography. - Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya:
Multi-Task Learning as a Bargaining Game. - Michael Schröder, Jürgen Cito:
Grammars for Free: Toward Grammar Inference for Ad Hoc Parsers. - Tom Krüger, Jan-Hendrik Lorenz, Florian Wörz:
Too much information: CDCL solvers need to forget and perform restarts. - Cise Midoglu, Steven Alexander Hicks, Vajira Thambawita, Tomas Kupka, Pål Halvorsen:
MMSys'22 Grand Challenge on AI-based Video Production for Soccer. - Michele Polese, Leonardo Bonati, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia:
Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges. - Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? - Francesco Casillo, Vincenzo Deufemia, Carmine Gravino:
Detecting Privacy Requirements from User Stories with NLP Transfer Learning Models. - Sara Oliveira Santos, Francisco Cuenca-Jiménez, P. Antonio Gomez-Valdez, Oscar Morales-Lopez, Monica M. Wilhelmus:
RoboKrill : a metachronal drag-based swimmer robot. - Jiebei Liu, Peter Morris, Krista Nelson, Mehdi Boukhechba:
Using Ballistocardiography for Sleep Stage Classification. - Marjorie McShane, Jesse English, Sergei Nirenburg:
Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts. - Paolo Boldi, Flavio Furia, Sebastiano Vigna:
Spectral Rank Monotonicity on Undirected Networks. - Junxian Wang, Wesley P. Chan, Pamela Carreno-Medrano, Akansel Cosgun, Elizabeth A. Croft:
Metrics for Evaluating Social Conformity of Crowd Navigation Algorithms. - Kevin Haninger, Marcel Radke, Axel Vick, Jörg Krüger:
Towards High-Payload Admittance Control for Manual Guidance with Environmental Contact. - Umberto Zerbinati:
PINNs and GaLS: An Priori Error Estimates for Shallow Physically Informed Neural Network Applied to Elliptic Problems. - Marco Rosano, Antonino Furnari, Luigi Gulino, Corrado Santoro, Giovanni Maria Farinella:
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation. - Ashish Ramayee Asokan, Nidarshan Kumar, Anirudh Venkata Ragam, Shylaja S. Sharath:
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors. - Akihiro Maehigashi, Takahiro Tsumura, Seiji Yamada:
Comparison of human trust in an AI system, a human, and a social robot as a task partner. - Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das:
Melody Extraction from Polyphonic Music by Deep Learning Approaches: A Review. - Farrukh Shehzad, Yousaf Habib, Michael Kraus, Zareen Akhtar:
Control of Parasitism in Variational Integrators for Degenerate Lagrangian Systems. - Robert Hu, Dino Sejdinovic, Joan Alexis Glaunès:
Giga-scale Kernel Matrix Vector Multiplication on GPU. - Chuanhao Li, Hongning Wang:
Communication Efficient Federated Learning for Generalized Linear Bandits. - David Klaska, Antonín Kucera, Vít Musil, Vojtech Rehák:
Minimizing Expected Intrusion Detection Time in Adversarial Patrolling. - Alexander Pugantsov, Richard McCreadie:
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. - Ruixin Yang, Shuai Ma, Zihan Xu, Hang Li, Xiaodong Liu, Xintong Ling, Xiong Deng, Xun Zhang, Shiyin Li:
Spectral and Energy Efficiency of DCO-OFDM in Visible Light Communication Systems with Finite-Alphabet Inputs. - Thomas Izgin, Stefan Kopecz, Andreas Meister:
On Lyapunov Stability of Positive and Conservative Time Integrators and Application to Second Order Modified Patankar-Runge-Kutta Schemes. - Brian Karrer, Daniel Kifer, Arjun Wilkins, Danfeng Zhang:
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism. - Xiangyu Mao, Jianping He, Chengcheng Zhao:
System Identification with Variance Minimization via Input Design. - Cristiano Bocci, Chiara Capresi, Kitty Meeks, John Sylvester:
A New Temporal Interpretation of Cluster Editing. - Kayode Olaleye, Dan Oneata, Herman Kamper:
Keyword localisation in untranscribed speech using visually grounded speech models. - Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik:
Learning to reason about and to act on physical cascading events. - Huayang Li, Yixuan Su, Deng Cai, Yan Wang, Lemao Liu:
A Survey on Retrieval-Augmented Text Generation. - Han Wu, Hamdi Joudeh:
On Joint Communication and Channel Discrimination. - Saeed Boorboor, Shawn Mathew, Mala Ananth, David Talmage, Lorna W. Role, Arie E. Kaufman:
NeuRegenerate: A Framework for Visualizing Neurodegeneration. - Hanbin Hong, Yuan Hong, Yu Kong:
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. - Paul McVay, Tie Liu, Krishna Narayanan:
On Linear Separability under Linear Compression with Applications to Hard Support Vector Machine. - Seyed Mehdi Meshkani, Bilal Farooq:
Decentralized Matching in Shared Intelligent Vehicles Fleet. - Laura Giordano, Daniele Theseider Dupré:
An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge bases. - Markus J. Hofmann, Steffen Remus, Chris Biemann, Ralph Radach, Lars Kuchinke:
Language Models Explain Word Reading Times Better Than Empirical Predictability. - Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu:
Structure-preserving GANs. - Mohammed Ayman Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes:
Ultra-Wideband Teach and Repeat. - Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. - Randi Wang, Morad Behandish:
Surrogate Modeling for Physical Systems with Preserved Properties and Adjustable Tradeoffs. - Seongin Na, Tomás Krajník, Barry Lennox, Farshad Arvin:
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms. - Hammond Pearce, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt:
Pop Quiz! Can a Large Language Model Help With Reverse Engineering? - Penny Haxell, Tibor Szabó:
Improved Integrality Gap in Max-Min Allocation: or Topology at the North Pole. - Sachin Maheshwari, Alexander Serb, Christos Papavassiliou, Themistoklis Prodromakis:
An Adiabatic Capacitive Artificial Neuron with RRAM-based Threshold Detection for Energy-Efficient Neuromorphic Computing. - Rickard Brüel Gabrielsson, Chris Scarvelis:
Relative Position Prediction as Pre-training for Text Encoders. - Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez:
Improving Screening Processes via Calibrated Subset Selection. - Karthikeyan Natesan Ramamurthy, Amit Dhurandhar, Dennis Wei, Zaid Bin Tariq:
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners. - Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, David Schlangen:
The slurk Interaction Server Framework: Better Data for Better Dialog Models. - Samrat Dutta, Shreyansh Jain, Ayush Maheshwari, Ganesh Ramakrishnan, Preethi Jyothi:
Error Correction in ASR using Sequence-to-Sequence Models. - Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu:
GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. - Raviraj Joshi:
L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources. - Olivier van der Toorn, Raffaele Sommese, Anna Sperotto, Roland van Rijswijk-Deij, Mattijs Jonker:
Saving Brian's Privacy: the Perils of Privacy Exposure through Reverse DNS. - Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Katie Millican, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan:
Unified Scaling Laws for Routed Language Models. - Yvonne Alama Bronsard, Yvain Bruned, Katharina Schratz:
Low regularity integrators via decorated trees. - Sanja Scepanovic, Luca Maria Aiello, Deirdre Barrett, Daniele Quercia:
Epidemic Dreams: Dreaming about health during the COVID-19 pandemic. - Domenico Lembo, Alessandra Limosani, Francesca Medda, Alessandra Monaco, Federico Maria Scafoglieri:
Information Extraction through AI techniques: The KIDs use case at CONSOB. - Muhammad Usman, Youcheng Sun, Divya Gopinath, Corina S. Pasareanu:
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks. - Pau de Jorge, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania:
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. - Adrienne Tuynman, Ronald Ortner:
Transfer in Reinforcement Learning via Regret Bounds for Learning Agents. - Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Smoothed Embeddings for Certified Few-Shot Learning. - Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li:
VOS: Learning What You Don't Know by Virtual Outlier Synthesis. - Greta Malaspina, Stevo Rackovic, Filipa Valdeira:
A Hybrid Compartmental Model with a Case Study of COVID-19 in Great Britain and Israel. - Xinyu Chen, Ian Beaver:
A Flexible Clustering Pipeline for Mining Text Intentions. - Ibrahim Cinaroglu, Yalin Bastanlar:
Training Semantic Descriptors for Image-Based Localization. - Weiming Xiang, Zhongzhu Shao:
Approximate Bisimulation Relations for Neural Networks and Application to Assured Neural Network Compression. - Pranav Madadi, Jeongho Jeon, Joonyoung Cho, Caleb Lo, Juho Lee, Jianzhong Zhang:
PolarDenseNet: A Deep Learning Model for CSI Feedback in MIMO Systems. - Meike Neuwohner:
Passing the Limits of Pure Local Search for the Maximum Weight Independent Set Problem in d-Claw Free Graphs. - Itai Gat, Hagai Aronowitz, Weizhong Zhu, Edmilson da Silva Morais, Ron Hoory:
Speaker Normalization for Self-supervised Speech Emotion Recognition. - Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo:
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. - Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
Accelerated Quality-Diversity for Robotics through Massive Parallelism. - Erixhen Sula, Michael Gastpar:
Shannon Bounds on Lossy Gray-Wyner Networks. - Matthew Feldman, Tian Zhao, Kunle Olukotun:
Efficient Memory Partitioning in Software Defined Hardware. - Hüsnü Ata Erbay, Saadet Erbay, Albert Erkip:
A semi-discrete numerical scheme for nonlocally regularized KdV-type equations. - N. Benjamin Erichson, Soon Hoe Lim, Francisco Utrera, Winnie Xu, Ziang Cao, Michael W. Mahoney:
NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. - Aaron Allred, Lauren J. Abbott, Alireza Doostan, Kurt Maute:
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles. - Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra:
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. - Alexander Tyurin, Peter Richtárik:
DASHA: Distributed Nonconvex Optimization with Communication Compression, Optimal Oracle Complexity, and No Client Synchronization. - Banghua Zhu, Jiantao Jiao, Michael I. Jordan:
Robust Estimation for Nonparametric Families via Generative Adversarial Networks. - Zhaowei Zhu, Jialu Wang, Yang Liu:
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. - Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen:
Topological Classification in a Wasserstein Distance Based Vector Space. - Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. - David Johnson, Mohammad Alsharid, Rasheed El-Bouri, Nigel Mehdi, Farah Shamout, Alexandre Szenicer, David Toman, Saqr Binghalib:
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates. - Wenzel Jakob, Sébastien Speierer, Nicolas Roussel, Delio Vicini:
Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering. - Aparna Khare, Eunjung Han, Yuguang Yang, Andreas Stolcke:
ASR-Aware End-to-end Neural Diarization. - Filip Tronarp, Nathanael Bosch, Philipp Hennig:
Fenrir: Physics-Enhanced Regression for Initial Value Problems. - Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. - Peter Fettke, Wolfgang Reisig:
Systems Mining with Heraklit: The Next Step. - Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. - Vladislav Dorofeev, Petro Trokhimchuk:
Computer sciences and synthesis: retrospective and perspective. - Dung Daniel T. Ngo, Giuseppe Vietri, Zhiwei Steven Wu:
Improved Regret for Differentially Private Exploration in Linear MDP. - Joshua Ani, Josh Brunner, Erik D. Demaine, Martin L. Demaine, Dylan H. Hendrickson, Victor Luo, Rachana Madhukara:
Orthogonal Fold & Cut. - Rajai Nasser, Ibrahim Issa, Ibrahim C. Abou-Faycal:
Age Distribution in Arbitrary Preemptive Memoryless Networks. - Yinbin Ma, Daniela Tuninetti:
On Coded Caching Systems with Offline Users. - Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing:
Causal Inference Through the Structural Causal Marginal Problem. - Fatima Zahrah, Jason R. C. Nurse, Michael Goldsmith:
A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election. - Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim:
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers. - Bahar Uddin Mahmud, Afsana Sharmin:
Impact Analysis of Harassment Against Women Using Association Rule Mining Approaches: Bangladesh Prospective. - Hanieh Shabanian, Madhusudhanan Balasubramanian:
Multi-Resolution Factor Graph Based Stereo Correspondence Algorithm. - Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Causal Imitation Learning under Temporally Correlated Noise. - Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin:
Approximating Full Conformal Prediction at Scale via Influence Functions. - Seth Frey, Qiankun Zhong, Beril Bulat, William D. Weisman, Caitlyn Liu, Stephen Fujimoto, Hannah M. Wang, Charles M. Schweik:
Governing online goods: Maturity and formalization in Minecraft, Reddit, and World of Warcraft communities. - Stylianos Serghiou, Kathryn Rough:
Deep Learning for Epidemiologists: An Introduction to Neural Networks. - Rahul Yedida, Tim Menzies:
How to Improve Deep Learning for Software Analytics (a case study with code smell detection). - Yuyan Li, Zhixin Yan, Ye Duan, Liu Ren:
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation. - William Cai, Ro Encarnacion, Bobbie Chern, Sam Corbett-Davies, Miranda Bogen, Stevie Bergman, Sharad Goel:
Adaptive Sampling Strategies to Construct Equitable Training Datasets. - Aaron Mishkin, Arda Sahiner, Mert Pilanci:
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions. - Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina:
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection. - Dianbo Liu, Alex Lamb, Xu Ji, Pascal Notsawo, Michael Mozer, Yoshua Bengio, Kenji Kawaguchi:
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization. - Calvin S. Bao, Siyao Li, Sarah G. Flores, Michael Correll, Leilani Battle:
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. - Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, Eric P. Xing:
Can Transformers be Strong Treatment Effect Estimators? - Farhad Maleki, Katie L. Ovens, Rajiv Gupta, Caroline Reinhold, Alan Spatz, Reza Forghani:
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls. - Jannis Born, Matteo Manica:
Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens. - Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. - Anthony Ortiz, Dhaval Negandhi, Sagar R. Mysorekar, Joseph Kiesecker, Shivaprakash K. Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan Lavista Ferres:
An Artificial Intelligence Dataset for Solar Energy Locations in India. - Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. - Stanislas Polu, Jesse Michael Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever:
Formal Mathematics Statement Curriculum Learning. - Salma Elmalaki, Bo-Jhang Ho, Moustafa Alzantot, Yasser Shoukry, Mani B. Srivastava:
VindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT. - Ben Green:
Technology Ethics in Action: Critical and Interdisciplinary Perspectives. - Suyash Gupta, Sajjad Rahnama, Shubham Pandey, Natacha Crooks, Mohammad Sadoghi:
Dissecting BFT Consensus: In Trusted Components we Trust! - Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Direct Molecular Conformation Generation. - Jesse Jiang, Ye Zhao, Samuel Coogan:
Safe Learning for Uncertainty-Aware Planning via Interval MDP Abstraction. - Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio:
Generative Flow Networks for Discrete Probabilistic Modeling. - Chao Wang, Ranbir Singh Batth, Peiying Zhang, Gagangeet Singh Aujla, Youxiang Duan, Lihua Ren:
VNE Solution for Network Differentiated QoS and Security Requirements: From the Perspective of Deep Reinforcement Learning. - Jingyi Xie, Rui Yu, Sooyeon Lee, Yao Lyu, Syed Masum Billah, John M. Carroll:
Feasibility of Interactive 3D Map for Remote Sighted Assistance. - Zubayer Islam, Mohamed A. Abdel-Aty:
Real-time Emergency Vehicle Event Detection Using Audio Data. - Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, Alexis Conneau:
mSLAM: Massively multilingual joint pre-training for speech and text. - Peiying Zhang, Chao Wang, Chunxiao Jiang, Neeraj Kumar, Qinghua Lu:
Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm. - Peerasait Prachaseree, Emma Lejeune:
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks. - Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. - Vasileios Vasilopoulos, Sebastian Castro, William Vega-Brown, Daniel E. Koditschek, Nicholas Roy:
Technical Report: A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments. - Joachim Gudmundsson, Martin P. Seybold, John Pfeifer:
Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language. - Zhen Dai, Yury Makarychev, Ali Vakilian:
Fair Representation Clustering with Several Protected Classes. - Louis Primeau, Amirali Amirsoleimani, Roman Genov:
SDEX: Monte Carlo Simulation of Stochastic Differential Equations on Memristor Crossbars. - Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. - Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak:
GALAXY: Graph-based Active Learning at the Extreme. - Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana:
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts. - Rushan Ziatdinov, James R. Valles Jr:
Synthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for Teaching and Learning STEM Topics. - Tianyu Wang, Baxi Chong, Yuelin Deng, Ruijie Fu, Howie Choset, Daniel I. Goldman:
Generalized Omega Turn Gait Enables Agile Limbless Robot Turning in Complex Environments. - Ryan Zelek, Hyeran Jeon:
Characterization of Semantic Segmentation Models on Mobile Platforms for Self-Navigation in Disaster-Struck Zones. - Rushan Ziatdinov, Juanee Cilliers:
Generation Alpha: Understanding the Next Cohort of University Students. - Ali Wadi, Shayok Mukhopadhyay, Lotfi Romdhane:
Identifying Friction in a Nonlinear Chaotic System Using a Universal Adaptive Stabilizer. - Musthofa, Indah Emilia Wijayanti, Diah Junia Eksi Palupi, Martianus Frederic Ezerman:
A New Approach to Determine the Minimal Polynomials of Binary Modified de Bruijn Sequences. - Baichuan Huang, Teng Guo, Abdeslam Boularias, Jingjin Yu:
Self-Supervised Monte Carlo Tree Search Learning for Object Retrieval in Clutter. - Xian Wei, See-Kiong Ng, Tongtong Zhang, Yingjie Liu:
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. - Valerijan G. Muftejev, Rushan Ziatdinov, Rifkat I. Nabiyev:
Multi-Criteria Assessment of Shape Quality in CAD Systems of the Future. - Hyung Jun Choi, Woocheol Choi, Youngwoo Koh:
For the splitting method of the nonlinear heat equation with initial datum in W^1, q. - Ziyue Piao, Gus Xia:
Sensing the Breath: A Multimodal Singing Tutoring Interface with Breath Guidance. - Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-latency Spiking Neural Networks. - Ziao Wang, Nadim Ghaddar, Lele Wang:
Noisy Sorting Capacity. - Victor Adewopo, Bilal Gonen, Nelly Elsayed, Murat Ozer, Zaghloul Saad ElSayed:
Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web). - Nikhil Singh, Anupam Saxena:
Topology Optimization with Tetra-kai-decahedra and Spheroidal Masks. - Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh:
Deep Hierarchy in Bandits. - Hailong Qiu:
Error analysis of a fully discrete scheme for the Cahn-Hilliard-Magneto-hydrodynamics problem. - Xinye Chen, Stefan Güttel:
Fast and explainable clustering based on sorting. - Matjaz Depolli, Jure Slak, Gregor Kosec:
Parallel domain discretization algorithm for RBF-FD and other meshless numerical methods for solving PDEs. - Yoshihide Sawada, Keigo Nakamura:
Concept Bottleneck Model with Additional Unsupervised Concepts. - Dixant Mittal, Siddharth Aravindan, Wee Sun Lee:
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. - Rohan Sandeep Burye, Ravi Teja Arumalla, Sheron Figarado:
Investigation of Torque Ripple in Voltage Source Inverter driven Induction Motor Drive operated with Space Vector based Harmonic Elimination Pulse Width Modulation Scheme. - (Withdrawn) Boosting Monocular Depth Estimation with Sparse Guided Points.
- Leonardo Colombo, Manuela Gamonal Fernández, David Martín de Diego:
Variational integrators for non-autonomous systems with applications to stabilization of multi-agent formations. - Peiying Zhang, Xue Pang, Yongjing Ni, Haipeng Yao, Xin Li:
A multi-domain virtual network embedding algorithm with delay prediction. - Mohammad Javad Ahmadi, Tolga M. Duman:
Unsourced Random Access with a Massive MIMO Receiver Using Multiple Stages of Orthogonal Pilots. - Pu Zhang, Lei Bai, Jianru Xue, Jianwu Fang, Nanning Zheng, Wanli Ouyang:
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding. - Guanxiong Luo, Martin Heide, Martin Uecker:
MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation. - Kranthi Panuganti, Rohan Sandeep Burye, Sheron Figarado:
Variable Slope Trapezoidal Circulating Current Injection to Attenuate Capacitor Voltage Ripple in Modular Multilevel Converter Based Variable Speed Motor Drives Application. - Yunlu Xiao, Petri Mähönen, Ljiljana Simic:
Mobility Performance Analysis of Scalable Cell-Free Massive MIMO. - Arda Atalik, Alper Köse, Michael Gastpar:
The Price of Distributed: Rate Loss in the CEO Problem. - Sherlock A. Licorish, Markus Wagner:
On the Utility of Marrying GIN and PMD for Improving Stack Overflow Code Snippets. - Jeffrey A. Delmerico, Roi Poranne, Federica Bogo, Helen Oleynikova, Eric Vollenweider, Stelian Coros, Juan I. Nieto, Marc Pollefeys:
Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together. - Francesc Wilhelmi, Sergio Barrachina-Muñoz, Paolo Dini:
End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications. - Nurullah Demir, Daniel Theis, Tobias Urban, Norbert Pohlmann:
Towards Understanding First-Party Cookie Tracking in the Field. - Barbara Wirthl, Sebastian Brandstaeter, Jonas Nitzler, Bernhard A. Schrefler, Wolfgang A. Wall:
Global sensitivity analysis based on Gaussian-process metamodelling for complex biomechanical problems. - Mandana Kariminejad, David Tormey, Saif Huq, Jim Morrison, Marion McAfee:
Comparison of Intelligent Approaches for Cycle Time Prediction in Injection Moulding of a Medical Device Product. - Kathrin Garb, Marvin Xhemrishi, Ludwig Kürzinger, Christoph Frisch:
The Wiretap Channel for Capacitive PUF-Based Security Enclosures. - Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli:
Challenging Common Assumptions in Convex Reinforcement Learning. - Zonghang Li, Yihong He, Hongfang Yu, Jiawen Kang, Xiaoping Li, Zenglin Xu, Dusit Niyato:
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT. - Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Giuseppe Caire:
Channel State Acquisition in FDD Massive MIMO: Rate-Distortion Bound and Effectiveness of "Analog" Feedback. - Elgun Jabrayilzade, Mikhail Evtikhiev, Eray Tüzün, Vladimir Kovalenko:
Bus Factor In Practice. - Yifu Tang, Jianxin Li, Nur Al Hasan Haldar, Ziyu Guan, Jiajie Xu, Chengfei Liu:
Reliable Community Search in Dynamic Networks. - Ibrahim Abdul Majeed, Sagar Kaushik, Aniruddha Bardhan, Venkata Siva Kumar Tadi, Hwang-Ki Min, Karthikeyan Kumaraguru, Rajasekhara Duvvuru Muni:
Comparative assessment of federated and centralized machine learning. - Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek:
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems. - Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari:
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. - Fernando Casas, Sergio Blanes, Alejandro Escorihuela-Tomàs:
Runge-Kutta-Nyström symplectic splitting methods of order 8. - Alexandros Gazis, Konstantinos Stamatis, Eleftheria Katsiri:
A Method for Counting, Tracking and Monitoring of Visitors with RFID sensors. - Masumi Arafune, Sidharth Rajalakshmi, Luigi Jaldon, Zahra Jadidi, Shantanu Pal, Ernest Foo, Nagarajan Venkatachalam:
Design and Development of Automated Threat Hunting in Industrial Control Systems. - Lie He, Sai Praneeth Karimireddy, Martin Jaggi:
Byzantine-Robust Decentralized Learning via Self-Centered Clipping. - Giorgos Alexiou, George Papastefanatos, Vassilis Stamatopoulos, Georgia Koutrika, Nectarios Koziris:
QueryER: A Framework for Fast Analysis-Aware Deduplication over Dirty Data. - Matteo Cordioli:
Multi-Objective Optimization, different approach to query a database. - Yang Xu, Haibin Kan, Guangyue Han:
Minimal Length of Nontrivial Solutions of the Isometry Equation and MacWilliams Extension Property with Respect to Weighted Poset Metric. - Sophie M. Moufawad, Nabil R. Nassif:
Newton Type Methods for solving a Hasegawa-Mima Plasma Model. - Jongyul Lee, Vasilis Friderikos:
Robotic Aerial 6G Small Cells with Grasping End Effectors for mmWave Relay Backhauling. - Marcel Matha, Christian Morsbach:
Extending turbulence model uncertainty quantification using machine learning. - Shahar Stein Ioushua, Ofer Shayevitz:
On the Number of Graphs with a Given Histogram. - Leszek Gasieniec, Ralf Klasing, Christos Levcopoulos, Andrzej Lingas, Jie Min, Tomasz Radzik:
Perpetual maintenance of machines with different urgency requirements. - Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. - Mária Lukácová-Medvid'ová, Gabriella Puppo, Andrea Thomann:
An all Mach number finite volume method for isentropic two-phase flow. - Volker Turau:
Fixed Points and 2-Cycles of Synchronous Dynamic Coloring Processes on Trees. - Mo Liu, Anantha Padmanabha, Ramaswamy Ramanujam, Yanjing Wang:
Are Bundles Good Deals for FOML? - Chunxiao Cao, Zili An, Zhong Ren, Dinesh Manocha, Kun Zhou:
A Psychoacoustic Quality Criterion for Path-Traced Sound Propagation. - Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin:
MiDaS: Representative Sampling from Real-world Hypergraphs. - Stavros Konstantinidis, Mitja Mastnak, Nelma Moreira, Rogério Reis:
Approximate NFA Universality and Related Problems Motivated by Information Theory. - Yue Wang, Tao Yu, Kei Sakaguchi:
Context-Based MEC Platform for Augmented-Reality Services in 5G Networks. - Mirjana Brdar, Sebastian Franz, Lars Ludwig, Hans-Görg Roos:
A time dependent singularly perturbed problem with shift in space. - Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, Himabindu Lakkaraju:
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. - Emmanouil Samanis, Joseph Gardiner, Awais Rashid:
A Taxonomy for Contrasting Industrial Control Systems Asset Discovery Tools. - Martin J. A. Schuetz, John Kyle Brubaker, Zhihuai Zhu, Helmut G. Katzgraber:
Graph Coloring with Physics-Inspired Graph Neural Networks. - Priyanka Billawa, Anusha Bambhore Tukaram, Nicolás E. Díaz Ferreyra, Jan-Philipp Steghöfer, Riccardo Scandariato, Georg Simhandl:
Security of Microservice Applications: A Practitioners' Perspective on Challenges and Best Practices. - Shuaishuai Ye, Peiyao Wang, Shunfei Chen, Xinhui Hu, Xinkang Xu:
The RoyalFlush System of Speech Recognition for M2MeT Challenge. - Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury:
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres. - Eleonora Denich, Paolo Novati:
A Gaussian method for the operator square root. - Tianchi Liu, Rohan Kumar Das, Kong Aik Lee, Haizhou Li:
MFA: TDNN with Multi-scale Frequency-channel Attention for Text-independent Speaker Verification with Short Utterances. - Felix Biggs, Benjamin Guedj:
Non-Vacuous Generalisation Bounds for Shallow Neural Networks. - Ander Vallinas Prieto, Arvid Q. L. Keemink, Edwin H. F. van Asseldonk, Herman van der Kooij:
Feasible Wrench Set Computation for Legged Robots. - Anne Baanen:
Use and abuse of instance parameters in the Lean mathematical library. - Rynhardt Kruger, Febe de Wet, Thomas Niesler:
Mathematical Content Browsing for Print-Disabled Readers Based on Virtual-World Exploration and Audio-Visual Sensory substitution. - Masarah Paquet-Clouston, Serge-Olivier Paquette, Sebastián García, María José Erquiaga:
Entanglement: Cybercrime Connections of an Internet Marketing Forum Population. - Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. - Jiawen Huang, Emmanouil Benetos, Sebastian Ewert:
Improving Lyrics Alignment through Joint Pitch Detection. - Alexander Viand, Patrick Jattke, Miro Haller, Anwar Hithnawi:
HECO: Automatic Code Optimizations for Efficient Fully Homomorphic Encryption. - Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney:
A Survey of Methods for Automated Algorithm Configuration. - Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour:
Learning strides in convolutional neural networks. - Parisa Ataeian, Abbas Rabiee, Mehdi Derafshian Maram, Mohsen Ghalei Monfared Zanjani:
Enhancement of power grid monitoring based on data weighting. - Evangelos Markakis, Georgios Papasotiropoulos:
Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent Issues. - Anay Mehrotra, Bary S. R. Pradelski, Nisheeth K. Vishnoi:
Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints. - Cyril Grelier, Olivier Goudet, Jin-Kao Hao:
On Monte Carlo Tree Search for Weighted Vertex Coloring. - Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu:
Equality Is Not Equity: Proportional Fairness in Federated Learning. - Filipa Valdeira, Cláudia Soares:
Ranking with Confidence for Large Scale Comparison Data. - Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub:
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. - Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner:
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System. - Jessica A. Enright, Martin Pergel:
Recognising the overlap graphs of subtrees of restricted trees is hard. - Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. - Luisa D'Amore, Rosalba Cacciapuoti, A. Moore:
Domain Decomposition in space-time of 4D-VAR Data Assimilation problem: a case study on the ROMS software. - Tomasz Bochacik:
On the properties of the exceptional set for the randomized Euler and Runge-Kutta schemes. - Raffay Yaqoob:
A Recent Survey of Event Triggered Control of Nonlinear Systems. - Wafeeq Iqbal, Wei Wang, Ting Zhu:
Machine Learning and Artificial Intelligence in Next-Generation Wireless Network. - Tong Mu, Stephan Zheng, Alexander Trott:
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal. - Asifa Yousaf:
Review on the stabilization of non linear systems achieved by output feedback control technique. - Luhuan Wu, Geoff Pleiss, John P. Cunningham:
Variational Nearest Neighbor Gaussian Processes. - Leila Ismail, Huned Materwala, Hossam S. Hassanein:
QoS-SLA-Aware Artificial Intelligence Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing System for the Internet of Vehicles. - Szu-Yu (Cyn) Liu, Brian A. Smith, Rajan Vaish, Andrés Monroy-Hernández:
Understanding the Role of Context in Creating Enjoyable Co-Located Interactions. - Xueyu Hou, Yongjie Guan, Tao Han, Ning Zhang:
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices. - Truong (Jack) P. Luu, Rosangela Follmann:
The relationship between sentiment score and COVID-19 cases in the United States. - Pinelopi Papalampidi, Kris Cao, Tomás Kociský:
Towards Coherent and Consistent Use of Entities in Narrative Generation. - Mingyuan Yang, John T. Foster:
Multi-Output Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Uncertainties. - Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto:
Algorithmic Fairness Datasets: the Story so Far. - Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut:
Review of automated time series forecasting pipelines. - Madonna Mayez, Khaled Nagaty, Abeer Hamdy:
Developer Load Normalization Using Iterative Kuhn-Munkres Algorithm: An Optimization Triaging Approach. - Niclas Boehmer, Robert Bredereck, Klaus Heeger, Dusan Knop, Junjie Luo:
Multivariate Algorithmics for Eliminating Envy by Donating Goods. - Robert Masse, Dan Ulery, Hardik Kamdar:
A User-Friendly Environment for Battery Data Science. - Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
MV-Datalog+-: Effective Rule-based Reasoning with Uncertain Observations. - Bobby Yan, Skyler Seto, Nicholas Apostoloff:
FORML: Learning to Reweight Data for Fairness. - Aaron David Tucker, Thorsten Joachims:
Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. - Serhat Bakirtas, Elza Erkip:
Seeded Database Matching Under Noisy Column Repetitions. - Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal:
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. - Benjamin Filtjens, Bart Vanrumste, Peter Slaets:
Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks. - Eliran Sherzer, Arik Senderovich, Opher Baron, Dmitry Krass:
Can machines solve general queueing systems? - Serhat Bakirtas, Elza Erkip:
Database Matching Under Column Repetitions. - Jack Sturgess, Simon Eberz, Ivo Sluganovic, Ivan Martinovic:
WatchAuth: User Authentication and Intent Recognition in Mobile Payments using a Smartwatch. - Alexander Raake, Markus Fiedler, Katrin Schoenenberg, Katrien De Moor, Nicola Döring:
Technological Factors Influencing Videoconferencing and Zoom Fatigue. - Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Chelsea Finn, Sergey Levine:
How to Leverage Unlabeled Data in Offline Reinforcement Learning. - Ben Cameron, Aaron Grubb, Joe Sawada:
Pivot Gray Codes for the Spanning Trees of a Graph ft. the Fan. - Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne van Noord, Giorgos Tolias:
The Met Dataset: Instance-level Recognition for Artworks. - Martin Lefebvre, David Bol:
A Family of Current References Based on 2T Voltage References: Demonstration in 0.18-μm with 0.1-nA PTAT and 1.1-μA CWT 38-ppm/°C Designs. - Yu Bai, Chi Jin, Song Mei, Tiancheng Yu:
Near-Optimal Learning of Extensive-Form Games with Imperfect Information. - Ioannis Sakiotis, Kamesh Arumugam, Marc F. Paterno, Desh Ranjan, Balsa Terzic, Mohammad Zubair:
m-CUBES An efficient and portable implementation of multi-dimensional integration for gpus. - Bengt J. Nilsson, Christiane Schmidt:
k-Transmitter Watchman Routes. - Ali Alshaarawy, Amirali Amirsoleimani, Roman Genov:
PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators. - Antti Kuusisto:
On expressive rule-based logics. - M. Giselle Fernández-Godino, Donald D. Lucas, Qingkai Kong:
Learning Physics through Images: An Application to Wind-Driven Spatial Patterns. - ByungHoon So, Kyuhong Byun, Kyungwon Kang, Seongjin Cho:
JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension. - Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti:
Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns. - Jürgen Giesl, Nils Lommen, Marcel Hark, Fabian Meyer:
Improving Automatic Complexity Analysis of Integer Programs. - Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. - Henry Akwetey Matey, Paul Danquah, Godfred Yaw Koi-Akrofi:
Predicting Cyber-Attack using Cyber Situational Awareness: The Case of Independent Power Producers (IPPs). - Edo Liberty:
Even Simpler Deterministic Matrix Sketching. - Cristina Bustos, Daniel Rhoads, Àgata Lapedriza, Javier Borge-Holthoefer, Albert Solé-Ribalta:
Predicting the impact of urban change in pedestrian and road safety. - Wo Jae Lee, Karim Helwani, Arvindh Krishnaswamy, Srikanth V. Tenneti:
Robust Audio Anomaly Detection. - Mamdouh Alenezi:
Understanding Digital Government Transformation. - Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Douglas Bellew, Brenda Curtis, Lyle H. Ungar:
Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis. - Bo Jiang, Mohamed Seif, Ravi Tandon, Ming Li:
Answering Count Queries for Genomic Data with Perfect Privacy. - Ashay Aswale, Antonio López, Aukkawut Ammartayakun, Carlo Pinciroli:
Hacking the Colony: On the Disruptive Effect of Misleading Pheromone and How to Defend Against It. - Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet:
Deep Surface Reconstruction from Point Clouds with Visibility Information. - Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal:
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. - Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera:
Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization. - Liliana Borcea, Josselin Garnier, Alexander V. Mamonov, Jörn T. Zimmerling:
Waveform inversion via reduced order modeling. - Yabin Xu, Liangliang Nan, Laishui Zhou, Jun Wang, Charlie C. L. Wang:
HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits. - Peter Fettke, Wolfgang Reisig:
Modularization, Composition, and Hierarchization of Petri Nets with Heraklit. - Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li:
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. - Amirkeivan Mohtashami, Sebastian U. Stich, Martin Jaggi:
Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods. - Kiri L. Wagstaff, Thomas G. Dietterich:
Hidden Heterogeneity: When to Choose Similarity-Based Calibration. - Federico M. Zegers, Runhan Sun, Girish Chowdhary, Warren E. Dixon:
Distributed State Estimation with Deep Neural Networks for Uncertain Nonlinear Systems under Event-Triggered Communication. - Richard N. Draper:
The Swapped Dragonfly. - Itai Arieli, Yakov Babichenko:
A Population's Feasible Posterior Beliefs. - Andreas Kirsch, Yarin Gal:
A Note on "Assessing Generalization of SGD via Disagreement". - Chung-Cheng Chiu, James Qin, Yu Zhang, Jiahui Yu, Yonghui Wu:
Self-supervised Learning with Random-projection Quantizer for Speech Recognition. - Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang:
Practical Imitation Learning in the Real World via Task Consistency Loss. - Yamac Alican Isik, Connor Davis, Paidamoyo Chapfuwa, Ricardo Henao:
Flexible Triggering Kernels for Hawkes Process Modeling. - Sami ul Haq, Saeed-Ul Hassan:
A Bibliometric Perspective of Social Science Scientific Communities of Pakistan and India. - Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh:
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. - Yuhan Zhao, Baichuan Huang, Jingjin Yu, Quanyan Zhu:
Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration. - Oliver Kosut, Michelle Effros, Michael Langberg:
On the Benefit of Cooperation in Relay Networks. - Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. - Jiong Wang, Zhanfeng Li, Zili Jin:
Theoretical scheme on shape-programming of thin hyperelastic plates through differential growth. - Julien Taurines, Boris Kolev, Rodrigue Desmorat, Olivier Hubert:
Reduced polynomial invariant integrity basis for in-plane magneto-mechanical loading. - Xiaohan Yu, Shaochen Mao:
Research on Patch Attentive Neural Process. - (Withdrawn) A Hybrid Physics Machine Learning Approach for Macroscopic Traffic State Estimation.
- Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. - Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren:
Advances in MetaDL: AAAI 2021 challenge and workshop. - Sijin Yeom, Jae-Hun Jung:
Weighted Random Cut Forest Algorithm for Anomaly Detections. - Sarra Ben Brahim, Hakim Ghazzai, Hichem Besbes, Yehia Massoud:
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification. - june wunder, Arthur Azevedo de Amorim, Patrick Baillot, Marco Gaboardi:
Bunched Fuzz: Sensitivity for Vector Metrics. - Vijay Srinivas Tida, Sonya H. Y. Hsu, Xiali Hei:
Unified Fake News Detection using Transfer Learning of Bidirectional Encoder Representation from Transformers model. - Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala:
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space. - Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner:
Ad-datasets: a meta-collection of data sets for autonomous driving. - Sergio Filho, Eduardo Sany Laber, Pedro Lazera, Marco Molinaro:
Time-Constrained Learning. - Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo:
Tsetlin Machine for Solving Contextual Bandit Problems. - Changcun Huang:
Theoretical Exploration of Solutions of Feedforward ReLU networks. - Lei Shu, Hu Xu, Bing Liu, Jiahua Chen:
Zero-Shot Aspect-Based Sentiment Analysis. - Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan:
F-EBM: Energy Based Learning of Functional Data. - Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo:
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services. - Liang Chen, Yang Li, Manyun Huang, Xinxin Hui, Songlin Gu:
Robust Dynamic State Estimator of Integrated Energy Systems based on Natural Gas Partial Differential Equations. - Ildar Rakhmatulin, Sebastian Volkl:
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG. - Xinggang Hu, Yunzhou Zhang, Zhenzhong Cao, Rong Ma, Yanmin Wu, Zhiqiang Deng, Wenkai Sun:
CFP-SLAM: A Real-time Visual SLAM Based on Coarse-to-Fine Probability in Dynamic Environments. - Caio Davi, Ulisses M. Braga-Neto:
PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization. - Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind:
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. - Federico Mason, Matteo Drago, Tommaso Zugno, Marco Giordani, Mate Boban, Michele Zorzi:
A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario. - Yong Xiao, Yingyu Li, Guangming Shi, H. Vincent Poor:
Reasoning on the Air: An Implicit Semantic Communication Architecture. - Jingming Liang, Yong Xiao, Yingyu Li, Guangming Shi, Mehdi Bennis:
Life-long Learning for Reasoning-based Semantic Communication. - Namrata Nadagouda, Austin Xu, Mark A. Davenport:
Active metric learning and classification using similarity queries. - Bruce E. Hajek, Xiaohan Kang:
Maximum Likelihood Estimation of Optimal Receiver Operating Characteristic Curves from Likelihood Ratio Observations. - Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu:
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning. - Jon McCormack, Camilo Cruz Gambardella:
Quality-diversity for aesthetic evolution. - Joseph Thaliath, Solmaz Niknam, Sukhdeep Singh, Rahul Banerji, Navrati Saxena, Harpreet S. Dhillon, Jeffrey H. Reed, Ali Kashif Bashir, Avinash Bhat, Abhishek Roy:
Predictive Closed-Loop Service Automation in O-RAN based Network Slicing. - Seyed Amir Tafrishi, Ankit A. Ravankar, Jose V. Salazar Luces, Yasuhisa Hirata:
A Novel Assistive Controller Based on Differential Geometry for Users of the Differential-Drive Wheeled Mobile Robots. - Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, Cong Wang:
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization. - Sung Hoon Lim, Jiyong Han, Wonjong Noh, Yujae Song, Sang-Woon Jeon:
Hybrid Neural Coded Modulation: Design and Training Methods. - Zhe Tang, Sihao Li, Kyeong Soo Kim, Jeremy S. Smith:
Multi-Output Gaussian Process-Based Data Augmentation for Multi-Building and Multi-Floor Indoor Localization. - (Withdrawn) Robust Vector Quantized-Variational Autoencoder.
- Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-based Point Convolution for Efficient Point Cloud Segmentation. - Chongyan Chen, Samreen Anjum, Danna Gurari:
Grounding Answers for Visual Questions Asked by Visually Impaired People. - Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Maxim Krikun, Colin Cherry, Behnam Neyshabur, Orhan Firat:
Data Scaling Laws in NMT: The Effect of Noise and Architecture. - Karen Leung, Marco Pavone:
Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications. - Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang:
Neural Dual Contouring. - Jan Sosulski, Michael Tangermann:
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces. - Wei Yin, Yifan Liu, Chunhua Shen, Anton van den Hengel, Baichuan Sun:
The devil is in the labels: Semantic segmentation from sentences. - Patrick Link, Miltiadis Poursanidis, Jochen Schmid, Rebekka Zache, Martin von Kurnatowski, Uwe Teicher, Steffen Ihlenfeldt:
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing. - Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn:
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. - Hongyi Zhang, Jingya Li, Zhiqiang Tyler Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson:
5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul. - Ajinkya Gaikwad, Soumen Maity:
Globally Minimal Defensive Alliances: A Parameterized Perspective. - Vijini Liyanage, Davide Buscaldi, Adeline Nazarenko:
A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications. - Joonghyun Song, Jiwon Shin, Hanseok Kim, Woo-Seok Choi:
Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons. - Yang Liu:
Identifiability of Label Noise Transition Matrix. - Youssef Mansour, Kang Lin, Reinhard Heckel:
Image-to-Image MLP-mixer for Image Reconstruction. - Dirk van der Linden, Brittany I. Davidson, Orit Hirsch-Matsioulas, Anna Zamansky:
On the role of technology in human-dog relationships: a future filled with dreams or nightmares? - Christina Stoiber, Davide Ceneda, Markus Wagner, Victor Schetinger, Theresia Gschwandtner, Marc Streit, Silvia Miksch, Wolfgang Aigner:
Perspectives of Visualization Onboarding and Guidance in VA. - Boel Nelson, Aslan Askarov:
With a Little Help from My Friends: Transport Deniability for Instant Messaging. - Hadyn Tang:
A Framework for Loop and Path Puzzle Satisfiability NP-Hardness Results. - Karim Benharrak, Florian Lehmann, Hai Dang, Daniel Buschek:
SummaryLens - A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life. - Didem Makaroglu, Altan Cakir, Behcet Ugur Töreyin:
Twitter Referral Behaviours on News Consumption with Ensemble Clustering of Click-Stream Data in Turkish Media. - Verena Häberle, Eduardo Prieto-Araujo, Ali Tayyebi, Florian Dörfler:
Grid-Forming Control Design of Dynamic Virtual Power Plants. - Alessandro Fornasier, Yonhon Ng, Robert E. Mahony, Stephan Weiss:
Equivariant Filter Design for Inertial Navigation Systems with Input Measurement Biases. - Elena Di Lavore, Giovanni de Felice, Mario Román:
Monoidal Streams for Dataflow Programming. - Junren Chen, Michael K. Ng:
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss. - Jens Markus Melenk, Alexander Rieder:
An exponentially convergent discretization for space-time fractional parabolic equations using hp-FEM. - Hugo Carrillo, Emanuele Macca, Carlos Parés, Giovanni Russo:
Well-balanced adaptive compact approximate Taylor methods for systems of balance laws. - David Mestel:
Beware of Greeks bearing entanglement? Quantum covert channels, information flow and non-local games. - Yuhang Ming, Xingrui Yang, Guofeng Zhang, Andrew Calway:
CGS-Net: Aggregating Colour, Geometry and Semantic Features for Large-Scale Indoor Place Recognition. - Afonso N. Oliveira, Henrique Moniz, Rodrigo Rodrigues:
Alea-BFT: Practical Asynchronous Byzantine Fault Tolerance. - Y. Luo, F. Chung, K. Chen:
Urban Region Profiling via A Multi-Graph Representation Learning Framework. - Jakob Bossek, Frank Neumann:
Exploring the Feature Space of TSP Instances Using Quality Diversity. - Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
Heed the Noise in Performance Evaluations in Neural Architecture Search. - Tom Norman, Nir Weinberger, Kfir Y. Levy:
Robust Linear Regression for General Feature Distribution. - Christopher Akiki, Lukas Gienapp, Martin Potthast:
Tracking Discourse Influence in Darknet Forums. - Pablo Dorta-González, María-Isabel Dorta-González:
The influence of funding on the Open Access citation advantage. - Jason Akoun, Sebastien Meyer:
SignSGD: Fault-Tolerance to Blind and Byzantine Adversaries. - Iliya Bouyukliev, Stefka Bouyuklieva:
About Code Equivalence - a Geometric Approach. - Guy D. Rosin, Kira Radinsky:
Temporal Attention for Language Models. - Akshay J. Dave, Haoyu Wang, Roberto Ponciroli, Richard B. Vilim:
Numerical Demonstration of Multiple Actuator Constraint Enforcement Algorithm for a Molten Salt Loop. - Hanane Benmaghnia, Matthieu Martel, Yassamine Seladji:
Fixed-Point Code Synthesis For Neural Networks. - Tobias Thoma, Paul Kotyczka:
Explicit port-Hamiltonian FEM models for geometrically nonlinear mechanical systems. - Ralph Peeters, Christian Bizer:
Supervised Contrastive Learning for Product Matching. - Sebastian Köhler, Richard Baker, Martin Strohmeier, Ivan Martinovic:
Brokenwire : Wireless Disruption of CCS Electric Vehicle Charging. - Isobo Nelson Davies, Donald Somiari Ene, Ibiere Boma Cookey, Godwin Fred Lenu:
Implementation of a Type-2 Fuzzy Logic Based Prediction System for the Nigerian Stock Exchange. - Marcel Mross, Pin-Hsun Lin, Eduard A. Jorswieck:
New Inner and Outer Bounds for 2-User Gaussian Broadcast Channels with Heterogeneous Blocklength Constraints. - Carl Thomé, Sebastian Piwell, Oscar Utterbäck:
Musical Audio Similarity with Self-supervised Convolutional Neural Networks. - Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen:
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer. - Carl Thomé, Sven Ahlbäck:
Polyphonic pitch detection with convolutional recurrent neural networks. - Gabriel Tseng, Hannah Kerner, David Rolnick:
TIML: Task-Informed Meta-Learning for Agriculture. - Pramit Bhattacharyya, Raghava Mutharaju:
OntoSeer - A Recommendation System to Improve the Quality of Ontologies. - Panagiota Karatza, Kalliopi V. Dalakleidi, Maria Athanasiou, Konstantina S. Nikita:
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis. - Vladimir Ivanov, Andrey Sadovykh, Alexandr Naumchev, Alessandra Bagnato, Kirill Yakovlev:
Extracting Software Requirements from Unstructured Documents. - Chao Wang, Tao Dong, Youxiang Duan, Qifeng Sun, Peiying Zhang:
Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding. - Peiying Zhang, Chao Wang, Neeraj Kumar, Weishan Zhang, Lei Liu:
Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning. - Chao Wang, Lei Liu, Chunxiao Jiang, Shangguang Wang, Peiying Zhang, Shigen Shen:
Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network. - Cédric Rommel, Thomas Moreau, Alexandre Gramfort:
Deep invariant networks with differentiable augmentation layers. - João Marcos, Walther Neuper, Pedro Quaresma:
Proceedings 10th International Workshop on Theorem Proving Components for Educational Software, ThEdu@CADE 2021, (Remote) Carnegie Mellon University, Pittsburgh, PA, United States, 11 July 2021. EPTCS 354, 2022 [contents] - Luca Canale, Nicolas Grislain, Grégoire Lothe, Johan Leduc:
Generative Modeling of Complex Data. - Rintaro Yanagi, Atsushi Hashimoto, Shusaku Sone, Naoya Chiba, Jiaxin Ma, Yoshitaka Ushiku:
Edge-Selective Feature Weaving for Point Cloud Matching. - Xinran Miao, Kris Sankaran:
Source data selection for out-of-domain generalization. - Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
COIL: Constrained Optimization in Learned Latent Space - Learning Representations for Valid Solutions. - Benjamin Aslan, Daniel Platt, David Sheard:
Group invariant machine learning by fundamental domain projections. - Konstantinos Katsanos, Nir Shlezinger, Mohammadreza F. Imani, George C. Alexandropoulos:
Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization. - Dimitar Sht. Shterionov, Eva Vanmassenhove:
The Ecological Footprint of Neural Machine Translation Systems. - Darius Rückert, Yuanhao Wang, Rui Li, Ramzi Idoughi, Wolfgang Heidrich:
NeAT: Neural Adaptive Tomography. - David A. Broniatowski, Jiayan Gu, Amelia M. Jamison, Lorien C. Abroms:
Evaluating the Efficacy of Facebook's Vaccine Misinformation Content Removal Policies. - Bart M. P. Jansen, Michal Wlodarczyk:
Lossy Planarization: A Constant-Factor Approximate Kernelization for Planar Vertex Deletion. - Michael Xieyang Liu, Aniket Kittur, Brad A. Myers:
Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision Making. - Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Pablo Pérez:
Generalised Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses from Quality of Experience Subjective Experiments. - Guanlan Zhang, Yipai Du, Hongyu Yu, Michael Yu Wang:
DelTact: A Vision-based Tactile Sensor Using Dense Color Pattern. - Yikun Li, Mohamed Soliman, Paris Avgeriou:
Identifying Self-Admitted Technical Debt in Issue Tracking Systems using Machine Learning. - Xu Yao, Alasdair Newson, Yann Gousseau, Pierre Hellier:
Feature-Style Encoder for Style-Based GAN Inversion. - Jaeseong Jeong, Namhun Koo, Soonhak Kwon:
Investigations of c-Differential Uniformity of Permutations with Carlitz Rank 3. - Abdalsalam Almzayyen, Angel Vela de la Garza Evia, Nick Coronato, Mehdi Boukhechba:
Voice-Based Conversational Agents for self-reporting fluid consumption and sleep quality. - Konstantin Weise, Erik Müller, Lucas Poßner, Thomas R. Knösche:
Comparison of the performance and reliability between improved sampling strategies for polynomial chaos expansion. - Hongyin Chen, Yukun Cheng, Xiaotie Deng, Wenhan Huang, Linxuan Rong:
ABSNFT: Securitization and Repurchase Scheme for Non-Fungible Tokens Based on Game Theoretical Analysis. - Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. - Prajval Kumar Murali, Anirvan Dutta, Michael Gentner, Etienne Burdet, Ravinder Dahiya, Mohsen Kaboli:
Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter. - Nikolas Gritsch, Benjamin Tegeler, Faheem Hassan Zunjani:
Simulating and visualizing COVID-19 contact tracing with Corona-Warn-App for increased understanding of its privacy-preserving design. - Hamid Mohammadi, Ehsan Nazerfard:
SSHA: Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model. - Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao:
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. - Fabian Heimann, Christoph Lehrenfeld, Janosch Preuß:
Geometrically Higher Order Unfitted Space-Time Methods for PDEs on Moving Domains. - Nikhil Bansal, Lars Rohwedder, Ola Svensson:
Flow Time Scheduling and Prefix Beck-Fiala. - Isaac Sunseri, Alen Alexanderian, Joseph L. Hart, Bart G. van Bloemen Waanders:
Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems. - Anil Yelam:
Systems for Memory Disaggregation: Challenges & Opportunities. - Olivier Moliner, Sangxia Huang, Kalle Åström:
Bootstrapped Representation Learning for Skeleton-Based Action Recognition. - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Pixle: a fast and effective black-box attack based on rearranging pixels. - Matthew Newton, Antonis Papachristodoulou:
Sparse Polynomial Optimisation for Neural Network Verification. - (Withdrawn) Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks.
- Varun Ojha, Giuseppe Nicosia:
Backpropagation Neural Tree. - Fuqun Huang, Henrique Madeira:
Targeted Code Inspection based on Human Errors. - Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister:
Decoupling Local and Global Representations of Time Series. - Kuan-Chuan Peng:
Iterative Self Knowledge Distillation - From Pothole Classification to Fine-Grained and COVID Recognition. - Stefan Pasch, Daniel Ehnes:
StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements? - Jonatan Langlet, Ran Ben Basat, Sivaramakrishnan Ramanathan, Gabriele Oliaro, Michael Mitzenmacher, Minlan Yu, Gianni Antichi:
Direct Telemetry Access. - Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon:
LTU Attacker for Membership Inference. - Momona Yamagami, Kelly Mack, Jennifer Mankoff, Katherine M. Steele:
"I'm Just Overwhelmed": Investigating Physical Therapy Accessibility and Technology Interventions for People with Disabilities and/or Chronic Conditions. - Mustapha Hamad, Mireille Sarkiss, Michèle A. Wigger:
Benefits of Rate-Sharing for Distributed Hypothesis Testing. - Juliana Vélez, Paula J. Castiblanco-Camacho, Michael A. Tabak, Carl Chalmers, Paul Fergus, John Fieberg:
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence. - Sergio Amat, Pedro Ortiz, Juan Ruiz, Juan Carlos Trillo, Dionisio F. Yáñez:
A nonlinear PPH-type reconstruction based on equilateral triangles. - Yue Cao, Fatemeh H. Fard:
Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation. - T. Konstantin Rusch, Benjamin Paul Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein:
Graph-Coupled Oscillator Networks. - Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin, Boyuan Chen, Zhen Ming Jiang:
Towards a consistent interpretation of AIOps models. - Roberto Valle, José Miguel Buenaposada, Luis Baumela:
Multi-task head pose estimation in-the-wild. - Chung-Han Hsieh:
On Robust Optimal Linear Feedback Stock Trading. - Reza Abbasalipour, Mahtab Mirmohseni:
Privacy-aware Distributed Hypothesis Testing in Gray-Wyner Network with Side Information. - Ryan S. Zesch, Bethany R. Witemeyer, Ziyan Xiong, David I. W. Levin, Shinjiro Sueda:
Neural Collision Detection for Deformable Objects. - Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu:
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators. - Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer:
Interactive Mobile App Navigation with Uncertain or Under-specified Natural Language Commands. - Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu:
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. - Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi:
Webly Supervised Concept Expansion for General Purpose Vision Models. - Kazuki Maeda, Thiago Teixeira, Jonathan M. Wang, Jeffrey M. Hokanson, Caetano Melone, Mario Di Renzo, Steve Jones, Javier Urzay, Gianluca Iaccarino:
An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition. - Deepanshu Vasal:
A dynamic program to achieve capacity of multiple access channel with noiseless feedback. - Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang:
Towards Training Reproducible Deep Learning Models. - Leo Betthauser, Urszula Chajewska, Maurice Diesendruck, Rohith Pesala:
Discovering Distribution Shifts using Latent Space Representations. - Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. - Ying Wang, Nima Khademi Kalantari, Shinjiro Sueda:
Differentiable Simulation of Inertial Musculotendons. - Abu Saleh Md Tayeen, Milan Biswal, Abderrahmen Mtibaa, Satyajayant Misra:
Analysis of Independent Learning in Network Agents: A Packet Forwarding Use Case. - Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay:
Learning Interpretable, High-Performing Policies for Continuous Control Problems. - Daniel Alpay, Kamal Diki, Mihaela Vajiac:
A note on the complex and bicomplex valued neural networks. - Aurelien Junior Noupelah, Antoine Tambue, Jean Louis Woukeng:
Strong convergence of an fractional exponential integrator scheme for the finite element discretization of time-fractional SPDE driven by standard and fractional Brownian motions. - Raja A. Moftah, Abdelsalam M. Maatuk, Richard White:
Performance Evaluation of Structured and Semi-Structured Bioinformatics Tools: A Comparative Study. - Ben Adcock, Juan M. Cardenas, Nick C. Dexter, Sebastian Moraga:
Towards optimal sampling for learning sparse approximation in high dimensions. - Arnab Neelim Mazumder, Tinoosh Mohsenin:
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting. - Mathieu Chalvidal, Thomas Serre, Rufin VanRullen:
A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning. - Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman:
Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine. - Dibyendu Adak, David Mora, Sundararajan Natarajan:
Convergence Analysis of Virtual Element Method for Nonlinear Nonlocal Dynamic Plate Equation. - Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen:
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations. - Yikun Li, Mohamed Soliman, Paris Avgeriou:
Automatic Identification of Self-Admitted Technical Debt from Different Sources. - Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan:
The impact of feature importance methods on the interpretation of defect classifiers. - Nicholas J. Weidner, Theodore Kim, Shinjiro Sueda:
Condensation Jacobian with Adaptivity. - Sai Sidhardh, Sansit Patnaik, Fabio Semperlotti:
Fractional-Order Shell Theory: Formulation and Application to the Analysis of Nonlocal Cylindrical Panels. - Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. - Ashwin Pathak, Raj Shah, Vaibhav Kumar, Yash Jakhotiya:
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One Shot Learning. - Athindran Ramesh Kumar, Gurudutt Hosangadi:
Malleable Agents for Re-Configurable Robotic Manipulators. - Samuele Tosatto, Andrew Patterson, Martha White, A. Rupam Mahmood:
A Temporal-Difference Approach to Policy Gradient Estimation. - Yana Nehmé, Florent Dupont, Jean-Philippe Farrugia, Patrick Le Callet, Guillaume Lavoué:
Textured Mesh Quality Assessment: Large-Scale Dataset and Deep Learning-based Quality metric. - André F. A. Paschoal, Paulo Pirozelli, Valdinei Freire, Karina Valdivia Delgado, Sarajane M. Peres, Marcos Menon José, Flávio Nakasato Cação, André Seidel Oliveira, Anarosa A. F. Brandão, Anna H. R. Costa, Fábio Gagliardi Cozman:
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean. - Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister:
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series. - Anand Balakrishnan, Stefan Jaksic, Edgar A. Aguilar, Dejan Nickovic, Jyotirmoy Deshmukh:
Model-Free Reinforcement Learning for Symbolic Automata-encoded Objectives. - Josue Nassar, Jennifer Brennan, Ben Evans, Kendall Lowrey:
BAM: Bayes with Adaptive Memory. - J. Jon Ryu, Alankrita Bhatt, Young-Han Kim:
Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting. - Maryam Eslami, Mehdi Sakhaei:
A Novel Service Deployment Policy in Fog Computing Considering The Degree of Availability and Fog Landscape Utilization Using Multiobjective Evolutionary Algorithms. - Paulo José S. Júnior, Lucas Rodrigues Costa, André C. Drummond:
On the Efficiency and Quality of Protection of Preprovisioning in Elastic Optical Networks. - Cristina Mata, Nick Locascio, Mohammed Azeem Sheikh, Kenny Kihara, Dan Fischetti:
StandardSim: A Synthetic Dataset For Retail Environments. - Saghar Adler, Mehrdad Moharrami, Vijay G. Subramanian:
Learning a Discrete Set of Optimal Allocation Rules in Queueing Systems with Unknown Service Rates. - Leighton Pate Barnes, Alex Dytso, H. Vincent Poor:
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning. - Sadique Adnan Siddiqui, Lisa Gutzeit, Frank Kirchner:
The influence of labeling techniques in classifying human manipulation movement of different speed. - Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville:
Lightweight Compositional Embeddings for Incremental Streaming Recommendation. - Chelsea Sidrane, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer:
Verifying Inverse Model Neural Networks. - Saurabh Deochake, Shashank Kanth, Subhadip Chakraborty, Suresh Sarode, Vidyasagar M. Potdar, Debajyoti Mukhopadhyay:
HENRI: High Efficiency Negotiation-based Robust Interface for Multi-party Multi-issue Negotiation over the Internet. - Alankrita Bhatt, J. Jon Ryu, Young-Han Kim:
On Universal Portfolios with Continuous Side Information. - Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Donal Landers, André Freitas:
Transformers and the representation of biomedical background knowledge. - Yecheng Jason Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani:
SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching. - Patrick Kidger:
On Neural Differential Equations. - Yujia Fan, Yongfeng Zhang:
Neural Logic Analogy Learning. - Ziad Al-Halah, Santhosh K. Ramakrishnan, Kristen Grauman:
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. - Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
SEED: Sound Event Early Detection via Evidential Uncertainty. - Nathan Beck, Abhiramon Rajasekharan, Hieu Tran:
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations. - Nicholas Sharp, Alec Jacobson:
Spelunking the Deep: Guaranteed Queries for General Neural Implicit Surfaces. - Ching-An Cheng, Tengyang Xie, Nan Jiang, Alekh Agarwal:
Adversarially Trained Actor Critic for Offline Reinforcement Learning. - Guanhong Miao, A. Adam Ding, Samuel S. Wu:
Linear Model with Local Differential Privacy. - Ling Luo, Zhenyu Liu, Zhiyong Chen, Min Hua, Wenqing Li, Bin Xia:
Age of Information-based Scheduling for Wireless D2D Systems with a Deep Learning Approach. - Peiying Zhang, Chao Wang, Chunxiao Jiang, Abderrahim Benslimane:
Security-Aware Virtual Network Embedding Algorithm based on Reinforcement Learning. - Bugra Turan, Ali Uyrus, Osman Nuri Koç, Emrah Kar, Sinem Coleri:
Vehicular Visible Light Communications for Automated Valet Parking. - Arslan Ahmad, Atif Bin Mansoor, Alcardo Alex Barakabitze, Andrew Hines, Luigi Atzori, Ray Walshe:
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Using Stochastic local search in designing microstrip antenna for 5G communication. - Zachary Menter, Wei Tee, Rushit Dave:
Application of Machine Learning-Based Pattern Recognition in IoT Devices: Review. - Yuwen Qian, Kexin Sheng, Chuan Ma, Jun Li, Ming Ding, Mahbub Hassan:
Path Planning for the Dynamic UAV-Aided Wireless Systems using Monte Carlo Tree Search. - Mikhail E. Belkin, Leonid Zhukov, Alexander S. Sigov:
Advanced service data provisioning in ROF-based mobile backhauls/fronthauls. - Peiying Zhang, Chao Wang, Neeraj Kumar, Lei Liu:
Space-Air-Ground Integrated Multi-domain Network Resource Orchestration based on Virtual Network Architecture: a DRL Method. - Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine:
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. - Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf:
Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective. - Hesam Nikpey, Jungyeol Kim, Xingran Chen, Saswati Sarkar, Shirin Saeedi Bidokhti:
Group Testing with Correlation under Edge-Faulty Graphs. - Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo:
Rethinking ValueDice: Does It Really Improve Performance? - Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad:
MarkovGNN: Graph Neural Networks on Markov Diffusion. - Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu:
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach. - Peiying Zhang, Xingzhe Huang, Yaqi Wang, Chunxiao Jiang, Shuqing He, Haifeng Wang:
Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion. - Muhammad Fahad, Daniel R. Fuhrmann:
Sensing Method for Two-Target Detection in Time-Constrained Vector Gaussian Channel. - Prerna Juneja, Tanushree Mitra:
Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users. - Md Towhidul Absar Chowdhury, Naveen Sharma:
LotRec: A Recommender for Urban Vacant Lot Conversion. - Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein:
A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. - Ahmed Elhagry, Mohamed Saeed:
Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images. - Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler:
Distributed Learning With Sparsified Gradient Differences. - Yu Zhang, Ahmed Alkhateeb, Pranav Madadi, Jeongho Jeon, Joonyoung Cho, Charlie Zhang:
Predicting Future CSI Feedback For Highly-Mobile Massive MIMO Systems. - Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Weisfeiler-Lehman meets Gromov-Wasserstein. - Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li:
A Neural Beam Filter for Real-time Multi-channel Speech Enhancement. - Li Zhou, Minhuan Huang, Yujun Li, Yuanping Nie, Jin Li, Yiwei Liu:
GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network. - Leijie Wu, Song Guo, Yaohong Ding, Yufeng Zhan, Jie Zhang:
A Coalition Formation Game Approach for Personalized Federated Learning. - Takayuki Osakabe, MaungMaung AprilPyone, Sayaka Shiota, Hitoshi Kiya:
Adversarial Detector with Robust Classifier. - Zheng Fang, Hao Fu, Tianbo Gu, Pengfei Hu, Jinyue Song, Trent Jaeger, Prasant Mohapatra:
Iota: A Framework for Analyzing System-Level Security of IoTs. - Wenjun Qiu:
A Survey on Poisoning Attacks Against Supervised Machine Learning. - Yves Bestgen:
A simple language-agnostic yet very strong baseline system for hate speech and offensive content identification. - Jaehyeong Jo, Seul Lee, Sung Ju Hwang:
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. - Bleau Moores, Vijay Mago:
A Survey on Automated Sarcasm Detection on Twitter. - Ching-Chun Chang, Xu Wang, Sisheng Chen, Isao Echizen:
Less is More: Reversible Steganography with Uncertainty-Aware Predictive Analytics. - Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. - Sreenivasa Hikkal Venugopala:
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques. - Harichandana B. S. S, Sumit Kumar:
LEAPMood: Light and Efficient Architecture to Predict Mood with Genetic Algorithm driven Hyperparameter Tuning. - Harichandana B. S. S, Vibhav Agarwal, Sourav Ghosh, Gopi Ramena, Sumit Kumar, Barath Raj Kandur Raja:
PrivPAS: A real time Privacy-Preserving AI System and applied ethics. - Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue:
LyaNet: A Lyapunov Framework for Training Neural ODEs. - Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan:
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. - Van Kien Nguyen:
Analyticity of Parametric and Stochastic Elliptic Eigenvalue Problems with an Application to Quasi-Monte Carlo Methods. - Sheikh Salman Hassan, Yan Kyaw Tun, Walid Saad, Zhu Han, Choong Seon Hong:
Blue Data Computation Maximization in 6G Space-Air-Sea Non-Terrestrial Networks. - Ting Lin, Aixin Sun, Yequan Wang:
Aspect-based Sentiment Analysis through EDU-level Attentions. - Cyril Onwubiko, Karim Ouazzane:
Multidimensional Cybersecurity Framework for Strategic Foresight. - Timotheus Kampik, Mathias Weske:
Event Log Generation: An Industry Perspective. - Remy Demichelis:
Science Facing Interoperability as a Necessary Condition of Success and Evil. - Philipp Thölke, Gianni De Fabritiis:
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials. - Guofeng Mei, Litao Yu, Qiang Wu, Jian Zhang, Mohammed Bennamoun:
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting. - Tianqu Kang, Anh-Dung Dinh, Binghong Wang, Tianyuan Du, Yijia Chen, Kevin Chau:
Optimization of a Real-Time Wavelet-Based Algorithm for Improving Speech Intelligibility. - Shaoe Lin, Beixiong Zheng, Fangjiong Chen, Rui Zhang:
Intelligent Reflecting Surface-Aided Spectrum Sensing for Cognitive Radio. - Clarissa Astuto, Antonio Raudino, Giovanni Russo:
Multiscale Modeling of Sorption Kinetics. - Yi-Fan Zuo, Jiaqi Yang, Jiaben Chen, Xia Wang, Yifu Wang, Laurent Kneip:
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions. - Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar:
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. - Latif U. Khan, Zhu Han, Walid Saad, Ekram Hossain, Mohsen Guizani, Choong Seon Hong:
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities. - Kristian Rekstad, John Krogstie:
Using SEQUAL for Identifying Requirements to Ecore Editors. - Hazel Kim, Jaeman Son, Yo-Sub Han:
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification. - Binoy Saha, Sukhendu Das:
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL). - S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon:
Symmetric Volume Maps. - Catalin-Stefan Teodorescu, Tom Carlson:
AssistMe: Policy iteration for the longitudinal control of a non-holonomic vehicle. - Jie Liu, Henk M. Schuttelaars, Matthias Möller:
A practical algorithm to minimize the overall error in FEM computations. - Timotheus Kampik, Adnane Mansour, Olivier Boissier, Sabrina Kirrane, Julian A. Padget, Terry R. Payne, Munindar P. Singh, Valentina A. M. Tamma, Antoine Zimmermann:
Governance of Autonomous Agents on the Web: Challenges and Opportunities. - Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis:
Differentially Private Graph Classification with GNNs. - Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. - Yicheng Chen, Rick S. Blum, Brian M. Sadler:
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting. - Tuan Anh Nguyen, Martin Hutzenthaler:
Multilevel Picard approximations of high-dimensional semilinear partial differential equations with locally monotone coefficient functions. - Lars Lindemann, Alëna Rodionova, George J. Pappas:
Temporal Robustness of Stochastic Signals. - Yuanda Wang, Hanqing Guo, Qiben Yan:
GhostTalk: Interactive Attack on Smartphone Voice System Through Power Line. - Shahed Anzarus Sabab, Mohammad Ridwan Kabir, Sayed Rizban Hussain, Hasan Mahmud, Md. Kamrul Hasan, Husne Ara Rubaiyeat:
VIS-iTrack: Visual Intention through Gaze Tracking using Low-Cost Webcam. - Anand K. Bapatla, Saraju P. Mohanty, Elias Kougianos:
PharmaChain: A Blockchain to Ensure Counterfeit Free Pharmaceutical Supply Chain. - Eashan Adhikarla, Dan Luo, Brian D. Davison:
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder. - Daniel T. Chang:
Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning. - Hossein Barghi Jond, Aykut Yildiz:
Connected and Automated Vehicle Platoon Formation Control via Differential Games. - Abigail Harrison, Benjamin Fuller, Alexander Russell:
Lazy Risk-Limiting Ballot Comparison Audits. - Andrea Frosini, Ilaria Mancini, Simone Rinaldi, Giuseppe Romana, Marinella Sciortino:
Logarithmic equal-letter runs for BWT of purely morphic words. - Vasileios Tsouvalas, Tanir Ozcelebi, Nirvana Meratnia:
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning. - Liliana Cojocaru:
On the Complexity of Coordinated Table Selective Substitution Systems. - Felix Stollenwerk:
Adaptive Fine-Tuning of Transformer-Based Language Models for Named Entity Recognition. - Giuseppe Tortorelli:
A bird's eye view on Multi-Objective Optimization techniques in Relational Databases. - Christopher Neale, Ian Kennedy, Blaine A. Price, Bashar Nuseibeh:
The case for Zero Trust Digital Forensics. - Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Martine De Cock:
Training Differentially Private Models with Secure Multiparty Computation. - Mohammad Khalooei, Mohammad Mehdi Homayounpour, Maryam Amirmazlaghani:
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework. - Osman Boyaci, Mohammad Rasoul Narimani, Katherine R. Davis, Erchin Serpedin:
Spatio-Temporal Failure Propagation in Cyber-Physical Power Systems. - Wenxiao Wang, Alexander Levine, Soheil Feizi:
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. - Mitchell Bosley, Saki Kuzushima, Ted Enamorado, Yuki Shiraito:
Improving Probabilistic Models in Text Classification via Active Learning. - Mohammad Javad Shayegan:
A bibliometric investigation into the literature of semantic reasoning in Internet of Things. - Arka Mitra, Priyanshu Sankhala:
Multilingual Hate Speech and Offensive Content Detection using Modified Cross-entropy Loss. - Arka Mitra:
Classification on Sentence Embeddings for Legal Assistance. - Venkatesh Sivaraman, Yiwei Wu, Adam Perer:
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces. - Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy:
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. - Ashish Rana, Deepanshu Khanna, Muskaan Singh, Tirthankar Ghosal, Harpreet Singh, Prashant Singh Rana:
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification. - Philip Feldman, Aaron Dant, David Rosenbluth:
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models. - Guanhong Miao:
Efficient Logistic Regression with Local Differential Privacy. - (Withdrawn) A Graph Neural Network Framework for Grid-Based Simulation.
- Laura Londoño, Adrian Röfer, Tim Welschehold, Abhinav Valada:
Doing Right by Not Doing Wrong in Human-Robot Collaboration. - Thong Duy Nguyen, Milan Kresovic:
A survey of top-down approaches for human pose estimation. - Ludovica Cicci, Stefania Fresca, Andrea Manzoni:
Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs. - (Withdrawn) A Game-theoretic Understanding of Repeated Explanations in ML Models.
- Alexander Svozil:
Leveraging the Power of Graph Algorithms: Efficient Algorithms for Computer-Aided Verification. - Ngoc Phuong Anh Duong, Alexandre Almin, Léo Lemarié, Bangalore Ravi Kiran:
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation. - Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. - Weishuang Zhang, B. Ravi Kiran, Thomas Gauthier, Yanis Mazouz, Theo Steger:
Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment. - Peter Harremoës:
Unnormalized Measures in Information Theory. - Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin:
SRPCN: Structure Retrieval based Point Completion Network. - Lexing Ying:
Pole recovery from noisy data on imaginary axis. - Vasilis Livanos, Ruta Mehta, Aniket Murhekar:
(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna. - Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne:
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading. - Jacob Mackay, David Johnson, Graham M. Brooker:
Autocorrelation, Wigner and Ambiguity Transforms on Polygons for Coherent Radiation Rendering. - Tigran Mkhoyan, Mark Wentink, Bernd De Graaf, M. M. van Paassen, Max Mulder:
Mitigating Coriolis Effects in Centrifuge Simulators Through Allowing Small, Unperceived G-Vector Misalignments. - David W. Binkley, Leon Moonen, Sibren Isaacman:
Featherweight Assisted Vulnerability Discovery. - Sifan Liu, Art B. Owen:
Pre-integration via Active Subspaces. - Teng-Hui Huang, Aly El Gamal, Hesham El Gamal:
On the Multi-View Information Bottleneck Representation. - Sha Yi, Fatma Zeynep Temel, Katia P. Sycara:
PuzzleBots: Physical Coupling of Robot Swarms. - Zhe Huang, Kexuan Wang, An Liu, Yunlong Cai, Rui Du, Tony Xiao Han:
Joint Pilot Optimization, Target Detection and Channel Estimation for Integrated Sensing and Communication Systems. - Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, Anne Hee Hiong Ngu:
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network. - Michael Teng, Michiel van de Panne, Frank Wood:
Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning. - Wen-Hsuan Li, Yu-Chih Huang:
Bandwidth-Constrained Distributed Quickest Change Detection in Heterogeneous Sensor Networks: Anonymous vs Non-Anonymous Settings. - Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu:
Triangle Graph Interest Network for Click-through Rate Prediction. - Aditya Shah, Chandresh Kumar Maurya:
How Effective is Incongruity? Implications for Code-mix Sarcasm Detection. - Keli Huang, Botian Shi, Xiang Li, Xin Li, Siyuan Huang, Yikang Li:
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey. - Wentao Lei, Mingming Fan, Juliann Thang:
"I Shake The Package To Check If It's Mine": A Study of Package Fetching Practices and Challenges of Blind and Low Vision People in China. - Sumedh Vilas Datar, Jesus Gonzales Bernal:
Portrait Segmentation Using Deep Learning. - Xian Xu, Leni Yang, David Yip, Mingming Fan, Zheng Wei, Huamin Qu:
From 'Wow' to 'Why': Guidelines for Creating the Opening of a Data Video with Cinematic Styles. - Mingtao Xia, Lucas Böttcher, Tom Chou:
Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems. - Hamed Haggi, Paul Brooker, Wei Sun, James M. Fenton:
Hydrogen and Battery Storage Technologies for Low Cost Energy Decarbonization in Distribution Networks. - Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang:
FEAT: Face Editing with Attention. - Sebastian Becker, Arnulf Jentzen, Marvin S. Müller, Philippe von Wurstemberger:
Learning the random variables in Monte Carlo simulations with stochastic gradient descent: Machine learning for parametric PDEs and financial derivative pricing. - Min Hu, Yi Wang, Xiaowei Feng, Shengchen Zhou, Zhaoyu Wu, Yuan Qin:
Robust Anomaly Detection for Time-series Data. - Yixuan Li, Xiaoqi Qin, Hao Chen, Kaifeng Han, Ping Zhang:
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning. - Ning Luo, Qiao Xiang, Timos Antonopoulos, Ruzica Piskac, Y. Richard Yang, Franck Le:
IVeri: Privacy-Preserving Interdomain Verification. - Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Burkhard Schafer:
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law. - Andrea Asperti, Laura Bugo, Daniele Filippini:
Enhancing variational generation through self-decomposition. - Nuwan Janaka, Xinke Wu, Shan Zhang, Shengdong Zhao, Petr Slovák:
Visual Behaviors and Mobile Information Acquisition. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Exponentially Stable Adaptive Control of MIMO Systems with Unknown Control Matrix. - Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi, Mohammad Yaghini, Ilia Shumailov, Nicolas Papernot, Kassem Fawaz:
Pipe Overflow: Smashing Voice Authentication for Fun and Profit. - Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia:
A Review of Modern Fashion Recommender Systems. - Martina Mammarella, Cesare Donati, Takumi Shimizu, Masaya Suenaga, Lorenzo Comba, Alessandro Biglia, Kuniaki Uto, Takeshi Hatanaka, Paolo Gay, Fabrizio Dabbene:
3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. - Jin Gyu Lee, Cyrus Mostajeran, Graham W. Van Goffrier:
Node-wise monotone barrier coupling law for central pattern generation. - Neri Merhav:
Optimal Correlators and Waveforms for Mismatched Detection. - Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet:
Riemannian Score-Based Generative Modeling. - Julian Zimmert, Naman Agarwal, Satyen Kale:
Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States. - David Leslie, Christopher Burr, Mhairi Aitken, Michael A. Katell, Morgan Briggs, Cami Rincon:
Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal. - Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. - Somi Jeong, Jiyoung Lee, Kwanghoon Sohn:
Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution. - Ying Liu:
The Exponential-Time Complexity of the complex weighted #CSP. - Nurit Spingarn-Eliezer, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Tomer Michaeli:
Energy awareness in low precision neural networks. - Laigang Guo, Raymond W. Yeung, Xiao-Shan Gao:
Proving Information Inequalities and Identities with Symbolic Computation. - Fabio Ferreira, Thomas Nierhoff, Andreas Saelinger, Frank Hutter:
Learning Synthetic Environments and Reward Networks for Reinforcement Learning. - Sakif Hossain, Fatema T. Johora, Jörg P. Müller, Sven Hartmann, Andreas Reinhardt:
SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories. - Guy Hacohen, Avihu Dekel, Daphna Weinshall:
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. - Jiayang Bai, Shuichang Lai, Haoyu Qin, Jie Guo, Yanwen Guo:
GLPanoDepth: Global-to-Local Panoramic Depth Estimation. - Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian:
SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. - Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. - Yixin Zhang, Junjie Li, Zilei Wang:
Low-confidence Samples Matter for Domain Adaptation. - Tong Han, David J. Hill, Yue Song:
Formulating Connectedness in Security-Constrained Optimal Transmission Switching Problems. - Lara Ortiz-Martin, Pablo Picazo-Sanchez:
Heart-Based Biometric Protocols: A look back over almost two decades. - Richard S. Falk, Ragnar Winther:
Construction of polynomial preserving cochain extensions by blending. - Sadaf Salehkalaibar, Stefano Rini:
Lossy Gradient Compression: How Much Accuracy Can One Bit Buy? - Arup Mondal, Harpreet Virk, Debayan Gupta:
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning. - Tong Zhao, Ekim Yurtsever, Joel A. Paulson, Giorgio Rizzoni:
Automated Vehicle Safety Guarantee, Verification and Certification: A Survey. - Sitong Liu, Zhichao Lian, Siqi Gu, Liang Xiao:
Block shuffling learning for Deepfake Detection. - Shaina Raza, Syed Raza Bashir, Vidhi Thakkar, Usman Naseem:
A Summary of COVID-19 Datasets. - Ritik Bavdekar, Eashan Jayant Chopde, Ashutosh Bhatia, Kamlesh Tiwari, Sandeep Joshua Daniel, Atul:
Post Quantum Cryptography: Techniques, Challenges, Standardization, and Directions for Future Research. - Shantanu Shahane, Surya Pratap Vanka:
Consistency and Convergence of a High Order Accurate Meshless Method for Solution of Incompressible Fluid Flows. - Daniel Basgöze, Matthias Volk, Joost-Pieter Katoen, Shahid Khan, Mariëlle Stoelinga:
BDDs Strike Back: Efficient Analysis of Static and Dynamic Fault Trees. - Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. - Yuyang Gao, Tong Steven Sun, Liang Zhao, Sungsoo Ray Hong:
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. - Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney:
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data. - Maryam Bajalan, Alexandre Fotue Tabue, Joël Kaboré, Edgar Martínez-Moro:
Galois LCD codes over mixed alphabets. - Davide Profeta, Nicola Masi, Domenico Messina, Davide Dalle Carbonare, Susanna Bonura, Vito Morreale:
A Novel Micro-service Based Platform for Composition, Deployment and Execution of BDA Applications. - Matthias Kirchhart:
Solidfmm: A highly optimised library of operations on the solid harmonics for use in fast multipole methods. - Jing Dong, Xin T. Tong:
Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning. - Muhammad Umar Bin Farooq, Marvin Manalastas, Syed Muhammad Asad Zaidi, Adnan A. Abu-Dayya, Ali Imran:
Machine Learning Aided Holistic Handover Optimization for Emerging Networks. - Farhad Shirani, Hamidreza Aghasi:
MIMO Systems with One-bit ADCs: Capacity Gains using Nonlinear Analog Operations. - Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava:
Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces. - Jerry R. Van Aken:
Alpha Blending with No Division Operations. - Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Hamid R. Arabnia:
Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review. - Abdeslem Hafid Bentbib, Mouad Elalj, Anas El Hachimi, Khalide Jbilou, Ahmed Ratnani:
Generalized L-product for hight order tensors with applications using GPU computation. - Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Differentiable Economics for Randomized Affine Maximizer Auctions. - Saad Kriouile, Mohamad Assaad:
When to pull data from sensors for minimum Distance-based Age of incorrect Information metric. - Shivam Gupta, Auriol Degbelo:
An Empirical Analysis of AI Contributions to Sustainable Cities (SDG11). - Takashi Tanaka, Vrushabh Zinage, Valery A. Ugrinovskii, Mikael Skoglund:
Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering. - Mete Kemertas, Allan D. Jepson:
Trusted Approximate Policy Iteration with Bisimulation Metrics. - Ehsan Seifi, Amir K. Khandani:
Diversity Multiplexing Trade-off and Selection Gain in Media-Based Modulation. - Lin Guan, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. - Eric Hallman, Ilse C. F. Ipsen, Arvind K. Saibaba:
Monte Carlo Methods for Estimating the Diagonal of a Real Symmetric Matrix. - Adnan Darwiche:
Causal Inference Using Tractable Circuits. - Berivan Isik, Tsachy Weissman:
Learning under Storage and Privacy Constraints. - Sayali Tambe, Raunak Joshi, Abhishek Gupta, Nandan Kanvinde, Vidya Chitre:
Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations. - Bara' Nazzal, Manar H. Alalfi:
An Automated Approach for Privacy Leakage Identification in IoT Apps. - Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu:
Evaluation Methods and Measures for Causal Learning Algorithms. - Clayton Miller, Liu Hao, Chun Fu:
Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned. - Zhangchi Ding, Masoud Baghbahari, Aman Behal:
A Passivity Based Framework for Safe Physical Human Robot Interaction. - Geon Heo, Steven Euijong Whang:
Redactor: Targeted Disinformation Generation using Probabilistic Decision Boundaries. - Ming-Jun Lai, Zhaiming Shen:
A Least Square Approach to Semi-supervised Local Cluster Extraction. - Eric Ruzomberka, Chih-Chun Wang, David J. Love:
Channel Capacity for Adversaries with Computationally Bounded Observations. - Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Yongwei Chen:
Universality of parametric Coupling Flows over parametric diffeomorphisms. - André Coelho, Rui Campos, Manuel Ricardo:
Traffic-aware Gateway Placement and Queue Management in Flying Networks. - Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng:
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. - Ronel B. Dayanghirang, Alexander A. Hernandez:
Mobile Based Gradebook with Student Outcomes Analytics. - Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. - Jaime S. Ide, Daria Micovic, Michael J. Guarino, Kevin Alcedo, David Rosenbluth, Adrian P. Pope:
Soft Actor-Critic with Inhibitory Networks for Faster Retraining. - Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun, Walid Saad, Zhu Han, Choong Seon Hong:
3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning. - Huajun Zhou, Yang Lin, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie:
Benchmarking Deep Models for Salient Object Detection. - Zhe Shen, Yudong Ma, Takeshi Tsuchiya:
Feedback Linearization Based Tracking Control of A Tilt-rotor with Cat-trot Gait Plan. - Kal Backman, Dana Kulic, Hoam Chung:
Reinforcement Learning for Shared Autonomy Drone Landings. - (Withdrawn) ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning.
- Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang:
Model-Based Offline Meta-Reinforcement Learning with Regularization. - Liu Bo:
Towards Micro-video Thumbnail Selection via a Multi-label Visual-semantic Embedding Model. - Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
TRGP: Trust Region Gradient Projection for Continual Learning. - Maxime Ferreira Da Costa, Urbashi Mitra:
On the Stability of Super-Resolution and a Beurling-Selberg Type Extremal Problem. - Abbas Khalili, Elza Erkip, Sundeep Rangan:
Quantized MIMO: Channel Capacity and Spectrospatial Power Distribution. - Ewerton R. Vieira, Daniel Nakhimovich, Kai Gao, Rui Wang, Jingjin Yu, Kostas E. Bekris:
Persistent Homology for Effective Non-Prehensile Manipulation. - Adnan Darwiche:
Tractable Boolean and Arithmetic Circuits. - Qiang Zhang, Zeyuan Wang, Yuqiang Han, Haoran Yu, Xurui Jin, Huajun Chen:
Prompt-Guided Injection of Conformation to Pre-trained Protein Model. - Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang:
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. - Zhihao Gavin Tang, Yuhao Zhang:
Improved Bounds for Fractional Online Matching Problems. - Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein:
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. - Rami N. Khushaba, Arman Melkumyan, Andrew J. Hill:
A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data. - Vasily Sidorov, Ethan Yi Fan Wei, Wee Keong Ng:
Comprehensive Performance Analysis of Homomorphic Cryptosystems for Practical Data Processing. - Xiaomeng Guo, Yongchao Wang:
Efficient ADMM Decoder for Non-binary LDPC Codes with Codeword-Independent Performance. - Dongning Ma, Sizhe Zhang, Xun Jiao:
HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing. - Longfei Yan, Chong Han, Jinhong Yuan:
Energy-efficient Dynamic-subarray with Fixed True-time-delay Design for Terahertz Wideband Hybrid Beamforming. - Zhangjie Cao, Zihan Wang, Dorsa Sadigh:
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. - Mingming Fan, Lingyun Zhu:
Think-Aloud Verbalizations for Identifying User Experience Problems: Effects of Language Proficiency with Chinese Non-Native English Speakers. - Di Zhuang, Mingchen Li, J. Morris Chang:
Locally Differentially Private Distributed Deep Learning via Knowledge Distillation. - Sungjae Lee, Kyungyong Lee:
Empirical Analysis and Offering of Various Historical Spot Instance Datasets. - Yingchen Tian, Yuxia Zhang, Klaas-Jan Stol, Lin Jiang, Hui Liu:
What Makes a Good Commit Message? - Qiulin Lin, Yanfang Mo, Junyan Su, Minghua Chen:
Competitive Online Optimization with Multiple Inventories: A Divide-and-Conquer Approach. - Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang:
Measuring and Reducing Model Update Regression in Structured Prediction for NLP. - Xinzhu Ma, Wanli Ouyang, Andrea Simonelli, Elisa Ricci:
3D Object Detection from Images for Autonomous Driving: A Survey. - Jongmin Lee, Joo Young Choi, Ernest K. Ryu, Albert No:
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks. - Mike Kosek, Trinh Viet Doan, Malte Granderath, Vaibhav Bajpai:
One to Rule them All? A First Look at DNS over QUIC. - Dongki Kim, Jinheon Baek, Sung Ju Hwang:
Graph Self-supervised Learning with Accurate Discrepancy Learning. - Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals. - Nati Ofir, Ran Yacobi, Omer Granoviter, Boris Levant, Ore Shtalrid:
Automatic defect segmentation by unsupervised anomaly learning. - Alejandro Cohen, Rafael G. L. D'Oliveira, Ken R. Duffy, Muriel Médard:
Partial Encryption after Encoding for Security and Reliability in Data Systems. - Fabien Geyer, Alexander Scheffler, Steffen Bondorf:
Network Calculus with Flow Prolongation - A Feedforward FIFO Analysis enabled by ML. - Hyunghun Cho, Jungwook Shin, Wonjong Rhee:
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search. - Arda Senocak, Hyeonggon Ryu, Junsik Kim, In So Kweon:
Learning Sound Localization Better From Semantically Similar Samples. - Wrya K. Kadir, Chunlei Li, Ferdinando Zullo:
Encoding and Decoding of Several Optimal Rank Metric Codes. - Rodrigo Aldana-López, Rosario Aragüés, Carlos Sagüés:
EDCHO: High Order Exact Dynamic Consensus. - Wenqiang Li, Jiameng Shi, Fengjun Li, Jingqiang Lin, Wei Wang, Le Guan:
μAFL: Non-intrusive Feedback-driven Fuzzing for Microcontroller Firmware. - Alejandro Cohen, Muriel Médard, Shlomo Shamai:
Broadcast Approach Meets Network Coding for Data Streaming. - Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
CECILIA: Comprehensive Secure Machine Learning Framework. - Shubhransh Singhvi, Omer Sabary, Daniella Bar-Lev, Eitan Yaakobi:
The Input and Output Entropies of the k-Deletion/Insertion Channel. - Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang:
Context Autoencoder for Self-Supervised Representation Learning. - Federico Brunero, Petros Elia:
Coded Caching Does Not Generally Benefit From Selfish Caching. - Aamir Arsalan, Syed Muhammad Anwar, Muhammad Majid:
Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review. - Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina:
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. - Federico Brunero, Petros Elia:
The Exact Load-Memory Tradeoff of Multi-Access Coded Caching With Combinatorial Topology. - Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos:
Towards Learning Through Open-Domain Dialog. - Dan Tsir Cohen, Aryeh Kontorovich:
Metric-valued regression. - Daniil Chesakov, Anastasia Maltseva, Alexander Groshev, Andrey Kuznetsov, Denis Dimitrov:
A new face swap method for image and video domains: a technical report. - Kayalvizhi S, Thenmozhi D:
Data set creation and empirical analysis for detecting signs of depression from social media postings. - Loay Mualem, Moran Feldman:
Using Partial Monotonicity in Submodular Maximization. - Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. - Anastasiia Grishina:
Enabling Automatic Repair of Source Code Vulnerabilities Using Data-Driven Methods. - Mattia Frasca, Lucia Valentina Gambuzza:
Control of cascading failures in dynamical models of power grids. - Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-Objective Quality Diversity Optimization. - Sergey P. Shary:
Non-traditional intervals and their use. Which ones really make sense? - Joris Guérin, Kevin Delmas, Jérémie Guiochet:
Evaluation of Runtime Monitoring for UAV Emergency Landing. - Mirco Mutti, Riccardo De Santi, Marcello Restelli:
The Importance of Non-Markovianity in Maximum State Entropy Exploration. - Fedor V. Fomin, Petr A. Golovach, Danil Sagunov, Kirill Simonov:
Longest Cycle above Erdős-Gallai Bound. - Mahmoud Kheir-Eddine, Michael Banf, Gregor Steinhagen:
Artificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits. - Shuang Dai, Fanlin Meng:
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning. - Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen:
Distributionally Robust Fair Principal Components via Geodesic Descents. - Alexandra Zimmer, Anna Hilsmann, Wieland Morgenstern, Peter Eisert:
Imposing Temporal Consistency on Deep Monocular Body Shape and Pose Estimation. - Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests. - Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer:
Fair Interpretable Representation Learning with Correction Vectors. - Beniamino Accattoli, Giulio Guerrieri:
Call-by-Value Solvability and Multi Types. - Emanuele Brugnoli, Rosaria Simone, Marco Delmastro:
Gender stereotypes in the mediated personalization of politics: Empirical evidence from a lexical, syntactic and sentiment analysis. - Jieqi Shi, Lingyun Xu, Peiliang Li, Xiaozhi Chen, Shaojie Shen:
Temporal Point Cloud Completion with Pose Disturbance. - Mathieu De Coster, Dimitar Shterionov, Mieke Van Herreweghe, Joni Dambre:
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges. - Mingkun Li, Peng Xu, Xiatian Zhu, Jun Guo:
Unsupervised Long-Term Person Re-Identification with Clothes Change. - Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns:
Auto-Lambda: Disentangling Dynamic Task Relationships. - Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, Jinqiao Shi:
Document-Level Event Extraction via Human-Like Reading Process. - Jianrong Zhou, Jiongzhi Zheng, Kun He:
Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem. - Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu:
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. - Konstantin Burlachenko, Samuel Horváth, Peter Richtárik:
FL_PyTorch: optimization research simulator for federated learning. - Lei Yu, Venkat Anantharam:
Sequential Channel Synthesis. - Matthias Engelbach, Dennis Klau, Jens Drawehn, Maximilien Kintz:
Combining Deep Learning and Reasoning for Address Detection in Unstructured Text Documents. - Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li:
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. - Hendrik Hessenkemper, Sebastian Starke, Yazan Atassi, Thomas Ziegenhein, Dirk Lucas:
Bubble identification from images with machine learning methods. - Ilya S. Smirnov, Ivan P. Yamshchikov:
Moving Other Way: Exploring Word Mover Distance Extensions. - Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment. - Gabriel Bertocco, Antonio Theofilo, Fernanda A. Andaló, Anderson Rocha:
Reasoning for Complex Data through Ensemble-based Self-Supervised Learning. - Selim F. Yilmaz, Burak Hasircioglu, Deniz Gündüz:
Over-the-Air Ensemble Inference with Model Privacy. - Arnav Varma, Hemang Chawla, Bahram Zonooz, Elahe Arani:
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics. - Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda:
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? - Farid Sorouri:
Edge-computing Enabled Next Generation Wireless Networks: A Novel Approach to Provide Secure Multicast Services. - Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu:
OPP-Miner: Order-preserving sequential pattern mining. - Kazhan Othman Mohammed Salih, Tarik A. Rashid, Dalibor Radovanovic, Nebojsa Bacanin:
A Comprehensive Survey on the Internet of Things with the Industrial Marketplace. - Rupal Roy, M. M. Rashid, Md. Manjurul Ahsan, Zahed Siddique:
The development of a portable elbow exoskeleton with a Twisted Strings Actuator to assist patients with upper limb inhabitation. - Oussama Saoudi, Ishwar Singh, Hamidreza Mahyar:
Autonomous Vehicles: Open-Source Technologies, Considerations, and Development. - Siheng Chen, Fabio Giardina, Gary P. T. Choi, L. Mahadevan:
Modular representation and control of floppy networks. - Jingwei Liu, Rui Zhang, Aoyu Gong, He Chen:
Optimizing Age of Information in Wireless Uplink Networks with Partial Observations. - Soumil Rathi:
Approaches to Artificial General Intelligence: An Analysis. - Victor V. Senkevich:
Existence and perception as the basis of AGI (Artificial General Intelligence). - Itamar Cohen:
T-Plots: A Novel Approach to Network Design. - Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Patch-Based Stochastic Attention for Image Editing. - Mattias Wahde, Marco Virgolin:
Conversational Agents: Theory and Applications. - Saeed Ghoorchian, Setareh Maghsudi:
Bayesian Linear Bandits for Large-Scale Recommender Systems. - Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. - John Piorkowski:
The 6-Ds of Creating AI-Enabled Systems. - Zoi Kaoudi, Abelardo Carlos Martinez Lorenzo, Volker Markl:
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning. - Miao Cao, Satoshi Ikehata, Kiyoharu Aizawa:
Field-of-View IoU for Object Detection in 360° Images. - Yorick Broens, Hans Butler, Roland Tóth:
On discretization of continuous-time LPV control solutions. - Lorena Gril, Philipp Wedenig, Chris Torkar, Ulrike Kleb:
A Tensor Based Regression Approach for Human Motion Prediction. - Meixin Zhu, Simon S. Du, Xuesong Wang, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang:
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer. - Kadir Korkmaz, Joachim Bruneau-Queyreix, Sonia Ben Mokhtar, Laurent Réveillère:
ALDER: Unlocking blockchain performance by multiplexing consensus protocols. - Adrien Durier, Daniel Hirschkoff, Davide Sangiorgi:
Eager Functions as Processes (long version). - Anu K. Myne, Kevin J. Leahy, Ryan J. Soklaski:
Knowledge-Integrated Informed AI for National Security. - Sho Shimadera, Kei Kitagawa, Koyo Sagehashi, Tomoaki Niiyama, Satoshi Sunada:
Optical skin: Sensor-integration-free multimodal flexible sensing. - Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert:
Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. - Vacslav Glukhov:
Reward is not enough: can we liberate AI from the reinforcement learning paradigm? - Shidong Zhang, Chao Wang, Junsan Zhang, Youxiang Duan, Xinhong You, Peiying Zhang:
Network Resource Allocation Strategy Based on Deep Reinforcement Learning. - Jing Xu, Rui Wang, Kaitai Liang, Stjepan Picek:
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks. - Kai Sauerwald, Gabriele Kern-Isberner, Christoph Beierle:
A Conditional Perspective on the Logic of Iterated Belief Contraction. - Morad Behandish, John Maxwell III, Johan de Kleer:
AI Research Associate for Early-Stage Scientific Discovery. - Caroline S. Wagner, Xiaojing Cai, Yi Zhang, Caroline V. Fry:
One-Year In: COVID-19 Research at the International Level in CORD-19 Data. - Prithwish Jana, Partha Pratim Mohanta:
Recent Trends in 2D Object Detection and Applications in Video Event Recognition. - Nader H. Bshouty:
Almost Optimal Proper Learning and Testing Polynomials. - Christopher Riedel, Khayal Musayev, Matthias Baitsch, Klaus Hackl:
Elastic waveform inversion in the frequency domain for an application in mechanized tunneling. - Weixiao Gao, Liangliang Nan, Bas Boom, Hugo Ledoux:
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes. - Carlos Mougan Mougan, George Kanellos, Johannes Micheler, Jose Martinez, Thomas Gottron:
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system. - Bethan Thomas, Samuel Kessler, Salah Karout:
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition. - Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
Deep Learning based Channel Estimation for Massive MIMO with Hybrid Transceivers. - Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. - Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland:
Passive learning to address nonstationarity in virtual flow metering applications. - Till Kletti, Jean-Michel Renders, Patrick Loiseau:
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings. - Adam Byerly, Tatiana Kalganova:
Towards an Analytical Definition of Sufficient Data. - Osmel Martínez Rosabal, Onel L. Alcaraz López, Dian Echevarría Pérez, Mohammad Shehab, Henrique Hilleshein, Hirley Alves:
Minimization of the Worst-Case Average Energy Consumption in UAV-Assisted IoT Networks. - Nathaniel Trask, Carianne Martinez, Kookjin Lee, Brad Boyce:
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery. - Tyler C. Looney, Nathan M. Savard, Gus T. Teran, Archie G. Milligan, Ryley I. Wheelock, Michael Scalise, Daniel P. Perno, Gregory C. Lewin, Carlo Pinciroli, Cagdas D. Onal, Markus P. Nemitz:
Air-Releasable Soft Robots for Explosive Ordnance Disposal. - Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
Online Deep Neural Network for Optimization in Wireless Communications. - Kennedy Edemacu, Beakcheol Jang, Jong Wook Kim:
Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations. - Piera Riccio, Kristin Bergaust, Boel Christensen-Scheel, Juan Carlos De Martin, Maria A. Zuluaga, Stefano Nichele:
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics. - Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan:
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. - Junghoon Kim, Sungsu Lim, Jungeun Kim:
OCSM : Finding Overlapping Cohesive Subgraphs with Minimum Degree. - Yongjin Lee, Seokjun Park, Beomgu Kang, Hyunwook Park:
Confidence Guided Depth Completion Network. - André Biedenkapp, Nguyen Dang, Martin S. Krejca, Frank Hutter, Carola Doerr:
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration. - Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund:
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. - Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol:
Do Developers Refactor Data Access Code? An Empirical Study. - Grant McDonald, Pavlos Papadopoulos, Nikolaos Pitropakis, Jawad Ahmad, William J. Buchanan:
Ransomware: Analysing the Impact on Windows Active Directory Domain Services. - Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy:
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. - Xiangyu Peng, Kai Wang, Zheng Zhu, Yang You:
Crafting Better Contrastive Views for Siamese Representation Learning. - Michael Hanke:
On the sensitivity of implementations of a least-squares collocation method for linear higher-index differential-algebraic equations. - Sourabh Balgi, Jose M. Peña, Adel Daoud:
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows. - Xin Chao, Zhenjie Hou, Yujian Mo:
CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors. - Ethan Perez, Saffron Huang, H. Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, Geoffrey Irving:
Red Teaming Language Models with Language Models. - Hamed Jalali, Gjergji Kasneci:
Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes. - Vugar E. Ismailov:
Approximation error of single hidden layer neural networks with fixed weights. - Esteban A. Ríssola, Mohammad Aliannejadi, Fabio Crestani:
Mental Disorders on Online Social Media Through the Lens of Language and Behaviour: Analysis and Visualisation. - Nicolas Vasilache, Oleksandr Zinenko, Aart J. C. Bik, Mahesh Ravishankar, Thomas Raoux, Alexander Belyaev, Matthias Springer, Tobias Gysi, Diego Caballero, Stephan Herhut, Stella Laurenzo, Albert Cohen:
Composable and Modular Code Generation in MLIR: A Structured and Retargetable Approach to Tensor Compiler Construction. - Lucas Clarté, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Theoretical characterization of uncertainty in high-dimensional linear classification. - Hui Ma, Haijun Zhang, Ning Zhang, Jianquan Wang, Ning Wang, Victor C. M. Leung:
Reconfigurable Intelligent Surface With Energy Harvesting Assisted Cooperative Ambient Backscatter Communications. - Julian Katz-Samuels, Julia B. Nakhleh, Robert Nowak, Yixuan Li:
Training OOD Detectors in their Natural Habitats. - Bin Chen, Weijun Fang, Yueqi Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen:
Some Results on the Improved Bound and Construction of Optimal (r, δ) LRCs. - Charles M. Elliott, Harald Garcke, Balázs Kovács:
Numerical analysis for the interaction of mean curvature flow and diffusion on closed surfaces. - Adam Day:
Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills. - Riku Murai, Joseph Ortiz, Sajad Saeedi, Paul H. J. Kelly, Andrew J. Davison:
A Robot Web for Distributed Many-Device Localisation. - Mattia Mattei, Manuel Pratelli, Guido Caldarelli, Marinella Petrocchi, Fabio Saracco:
Bow-Tie Structures of Twitter Discursive Communities. - Paloma T. Lima, Vinícius Fernandes dos Santos, Ignasi Sau, Uéverton S. Souza, Prafullkumar Tale:
Reducing the Vertex Cover Number via Edge Contractions. - Bo Chen, Kevin Leahy, Austin Jones, Matthew T. Hale:
Differential Privacy for Symbolic Systems with Application to Markov Chains. - Aniket Shirsat, Shatadal Mishra, Wenlong Zhang, Spring Berman:
Probabilistic Consensus on Feature Distribution for Multi-robot Systems with Markovian Exploration Dynamics. - Liyu Chen, Haipeng Luo, Aviv Rosenberg:
Policy Optimization for Stochastic Shortest Path. - Xiaoyong Yuan, Lan Zhang:
Membership Inference Attacks and Defenses in Neural Network Pruning. - Meng Liu, Shuiwang Ji:
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences. - Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao:
Topological Analysis of Vector-Field Guided Path Following on Manifolds. - Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi:
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations. - Umberto M. Tomasini, Antonio Sclocchi, Matthieu Wyart:
Failure and success of the spectral bias prediction for Kernel Ridge Regression: the case of low-dimensional data. - Elias Samuel Wirth, Sebastian Pokutta:
Conditional Gradients for the Approximately Vanishing Ideal. - Subhash Bhagat, Abhinav Chakraborty, Bibhuti Das, Krishnendu Mukhopadhyaya:
Optimal Gathering over Meeting Nodes in Infinite Grid. - Okko Makkonen, Camilla Hollanti:
Analog Secure Distributed Matrix Multiplication over Complex Numbers. - Michael Heck, Nurul Lubis, Carel van Niekerk, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Milica Gasic:
Robust Dialogue State Tracking with Weak Supervision and Sparse Data. - Liangyu Zhao, Siddharth Pal, Tapan Chugh, Weiyang Wang, Prithwish Basu, Joud Khoury, Arvind Krishnamurthy:
Optimal Direct-Connect Topologies for Collective Communications. - Radu Calinescu, Calum Imrie, Ravi Mangal, Corina S. Pasareanu, Misael Alpizar Santana, Gricel Vázquez:
Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components. - Andrei Atanov, Shijian Xu, Onur Beker, Andrei Filatov, Amir Zamir:
Simple Control Baselines for Evaluating Transfer Learning. - Sebastián Pizard, Diego Vallespir, Barbara A. Kitchenham:
A longitudinal case study on the effects of an evidence-based software engineering training. - Martin Müller, Florian Laurent:
Cedille: A large autoregressive French language model. - Johannes Brandstetter, Daniel E. Worrall, Max Welling:
Message Passing Neural PDE Solvers. - Jiawei Ren, Liang Pan, Ziwei Liu:
Benchmarking and Analyzing Point Cloud Classification under Corruptions. - Yuxin Fang, Li Dong, Hangbo Bao, Xinggang Wang, Furu Wei:
Corrupted Image Modeling for Self-Supervised Visual Pre-Training. - Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu:
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. - Grzegorz Gawron, Piotr Faliszewski:
Using Multiwinner Voting to Search for Movies. - Baobao Song, Qiujun Lan, Yang Li, Gang Li:
Distributed Differentially Private Ranking Aggregation. - Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic:
GMC - Geometric Multimodal Contrastive Representation Learning. - Jonathan Sauder, Martin Genzel, Peter Jung:
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery. - Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu:
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Francisco Valente:
Link Prediction of Artificial Intelligence Concepts using Low Computational Power. - Sajani Vithana, Sennur Ulukus:
Private Read Update Write (PRUW) with Storage Constrained Databases. - Truc D. T. Nguyen, My T. Thai:
Preserving Privacy and Security in Federated Learning. - Juan M. Cardenas, Manuel E. Solano:
A high order unfitted hybridizable discontinuous Galerkin method for linear elasticity. - Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. - Alexander Richard, Peter Sheridan Dodds, Vamsi Krishna Ithapu:
Deep Impulse Responses: Estimating and Parameterizing Filters with Deep Networks. - Yoonho Lee, Huaxiu Yao, Chelsea Finn:
Diversify and Disambiguate: Learning From Underspecified Data. - Hamid Reza Attar, Alistair Foster, Nan Li:
Development of a deep learning platform for optimising sheet stamping geometries subject to manufacturing constraints. - Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren:
Backdoor Defense via Decoupling the Training Process. - Jing He, Xinglu Liu, Qiyao Duan, Wai Kin Victor Chan, Mingyao Qi:
Reinforcement learning for multi-item retrieval in the puzzle-based storage system. - Peiying Zhang, Xue Pang, Neeraj Kumar, Gagangeet Singh Aujla, Haotong Cao:
A Reliable Data-transmission Mechanism using Blockchain in Edge Computing Scenarios. - Peiying Zhang, Fanglin Liu, Gagangeet Singh Aujla, Sahil Vashisht:
VNE Strategy based on Chaotic Hybrid Flower Pollination Algorithm Considering Multi-criteria Decision Making. - Nisansa de Silva:
Selecting Seed Words for Wordle using Character Statistics. - Ji Gao, Sanjam Garg, Mohammad Mahmoody, Prashant Nalini Vasudevan:
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning. - Nima Akbarzadeh, Aditya Mahajan:
On learning Whittle index policy for restless bandits with scalable regret. - Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-Respecting Subtasks for Model-Based Reinforcement Learning. - Pedro Soto, Haibin Guan, Jun Li:
Locally Random P-adic Alloy Codes with Channel Coding Theorems for Distributed Coded Tensors. - James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan:
New Bounds on the Size of Binary Codes with Large Minimum Distance. - Insu Han, Amir Zandieh, Haim Avron:
Random Gegenbauer Features for Scalable Kernel Methods. - Bestan B. Maaroof, Tarik A. Rashid, Jaza Mahmood Abdullah, Bryar Ahmad Hassan, Abeer Alsadoon, Mokhtar Mohammadi, Mohammad Khishe, Seyedali Mirjalili:
Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review. - Vijay Srinivas Tida, Sonya H. Y. Hsu:
Universal Spam Detection using Transfer Learning of BERT Model. - Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum:
A Ranking Game for Imitation Learning. - Frederik Pahde, Leander Weber, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin:
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging. - Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. - Metehan Cekic, Ruirui Li, Zeya Chen, Yuguang Yang, Andreas Stolcke, Upamanyu Madhow:
Self-supervised Speaker Recognition Training Using Human-Machine Dialogues. - Sadjad Anzabi Zadeh, W. Nick Street, Barrett W. Thomas:
Optimizing Warfarin Dosing using Deep Reinforcement Learning. - Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi:
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records. - Peiying Zhang, Chao Wang, Gagangeet Singh Aujla, Neeraj Kumar, Mohsen Guizani:
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode. - Debajyoti Kar, Arindam Khan, Andreas Wiese:
Approximation Algorithms for ROUND-UFP and ROUND-SAP. - Eliska Kloberdanz, Kyle G. Kloberdanz, Wei Le:
DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning. - Wenzhong Yan, Ankur Mehta:
An origami crawling robot driven by a folded self-sustained oscillator. - Pengchao Wei, Ronny Hänsch:
Random Ferns for Semantic Segmentation of PolSAR Images. - Zhou Huang, Tian-Zhu Xiang, Huai-Xin Chen, Hang Dai:
Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images. - Daniel Tompkins, Kshitiz Kumar, Jian Wu:
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study. - Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Online Optimization with Untrusted Predictions. - Mark Dukes:
Stakeholder utility measures for declarative processes and their use in process comparisons. - Lam M. Nguyen, Trang H. Tran, Marten van Dijk:
Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution. - Mazin Hnewa, Hayder Radha:
Integrated Multiscale Domain Adaptive YOLO. - Alexandre Drouin, Étienne Marcotte, Nicolas Chapados:
TACTiS: Transformer-Attentional Copulas for Time Series. - Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan:
MINER: Multiscale Implicit Neural Representations. - Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao:
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. - Darko Drakulic, Jean-Marc Andreoli:
Structured Time Series Prediction without Structural Prior. - Aline Sindel, Abner Hernandez, Seung Hee Yang, Vincent Christlein, Andreas K. Maier:
SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks. - Satvik Garg, Pradyumn Pundir, Geetanjali Rathee, P. K. Gupta, Somya Garg, Saransh Ahlawat:
On Continuous Integration / Continuous Delivery for Automated Deployment of Machine Learning Models using MLOps. - Naina Dhingra:
LwPosr: Lightweight Efficient Fine-Grained Head Pose Estimation. - Naina Dhingra:
HeadPosr: End-to-end Trainable Head Pose Estimation using Transformer Encoders. - Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli:
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. - Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng:
Evaluating Robustness of Cooperative MARL: A Model-based Approach. - Clemens Eisenhofer, Martin Riener:
Automated Instantiation of Control Flow Tracing Exercises. 43-58 - Pedro Quaresma, Vanda Santos:
Four Geometry Problems to Introduce Automated Deduction in Secondary Schools. 27-42 - Jørgen Villadsen, Asta Halkjær From, Patrick Blackburn:
Teaching Intuitionistic and Classical Propositional Logic Using Isabelle. 71-85 - John Tang Boyland:
Evolution of SASyLF 2008-2021. 87-107 - Sijing Tu, Stefan Neumann:
A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks. - Paul Swoboda, Andrea Hornáková, Paul Roetzer, Bogdan Savchynskyy, Ahmed Abbas:
Structured Prediction Problem Archive. - Peiying Zhang, Chao Wang, Chunxiao Jiang, Zhu Han:
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT. - Weiqi Peng, Jinghui Chen:
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations. - Gopal Nath, Antoine Harfouche, Austin Coursey, Krishna K. Saha, Srikanth Prabhu, Saptarshi Sengupta:
Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees. - Joeri Lenaerts, Hannah Pinson, Vincent Ginis:
Data driven design of optical resonators. - Ahmad Basheer Hassanat, Ahmad S. Tarawneh, Ghada Awad Altarawneh:
Stop Oversampling for Class Imbalance Learning: A Critical Review. - Mingguo He, Zhewei Wei, Ji-Rong Wen:
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. - Prabhjot Kaur, Zichuan Liu, Weisong Shi:
Simulators for Mobile Social Robots: State-of-the-Art and Challenges. - Aparna R. Joshi, Xavier Suau, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff:
Fair SA: Sensitivity Analysis for Fairness in Face Recognition. - Dhaval Dalal, Anamitra Pal, Philip Augustin:
Representative Scenarios to Capture Renewable Generation Stochasticity and Cross-Correlations. - Kirill Solovev, Nicolas Pröllochs:
Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media. - Quan Nguyen, Roman Garnett:
Nonmyopic Multiclass Active Search for Diverse Discovery. - Fan Ji, Muyi Sun, Xingqun Qi, Qi Li, Zhenan Sun:
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis. - Ronny Luss, Amit Dhurandhar, Miao Liu:
Local Explanations for Reinforcement Learning. - Yang Zhao, Hao Zhang, Xiuyuan Hu:
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning. - Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Hoi-Jun Yoo:
Two-Step Spike Encoding Scheme and Architecture for Highly Sparse Spiking-Neural-Network. - Junfeng Guo, Ang Li, Cong Liu:
Backdoor Detection in Reinforcement Learning. - Nariman Torkzaban, Mohammad Amir Khojastepour, John S. Baras:
Codebook Design for Composite Beamforming in Next-generation mmWave Systems. - Jackson Petty, Michael Wilson, Robert Frank:
Do Language Models Learn Position-Role Mappings? - Wenjun Qiu, Yang Xu:
HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis. - Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan:
Conformal prediction for the design problem. - Zhuolin Wang, Rongping Zhu, Jian-Ya Ding, Yu Yang, Keyou You:
An Exact Method for the Daily Package Shipment Problem with Outsourcing. - Colin S. Gordon:
Towards Property-Based Tests in Natural Language. - Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi:
The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions. - Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso:
Bandit Sampling for Multiplex Networks. - Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Jitander Kumar Pabani, Wei Emma Zhang:
Understanding the Trustworthiness Management in the Social Internet of Things: A Survey. - Zihao Xu, Hao He, Guang-He Lee, Yuyang Wang, Hao Wang:
Graph-Relational Domain Adaptation. - Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, Pascale Fung:
Survey of Hallucination in Natural Language Generation. - Yihong Tang, Ao Qu, Andy H. F. Chow, William H. K. Lam, Sze Chun Wong, Wei Ma:
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities. - Hanbo Zhang, Jian Tang, Shiguang Sun, Xuguang Lan:
Robotic Grasping from Classical to Modern: A Survey. - Zhenkun Shi, Qianqian Yuan, Ruoyu Wang, Hoaran Li, Xiaoping Liao, Hongwu Ma:
ECRECer: Enzyme Commission Number Recommendation and Benchmarking based on Multiagent Dual-core Learning. - Francisco Pernice:
An Exploration of a New Group of Channel Symmetries. - Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang:
Multi-Agent Path Finding with Prioritized Communication Learning. - Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho:
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis. - Hans van Ditmarsch, Sunil Simon:
Boolean Observation Games. - Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi, Savitha Ramasamy:
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data. - Junqiang Li, Senyi Li, Gang Sun, Ting Chen, Hongfang Yu:
SNPSFuzzer: A Fast Greybox Fuzzer for Stateful Network Protocols using Snapshots. - Kaushik Rangadurai, Yiqun Liu, Siddarth Malreddy, Xiaoyi Liu, Piyush Maheshwari, Vishwanath Sangale, Fedor Borisyuk:
NxtPost: User to Post Recommendations in Facebook Groups. - Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du, Siqi Zheng, Weilong Huang, Lei Xie, Zheng-Hua Tan, DeLiang Wang, Yanmin Qian, Kong Aik Lee, Zhijie Yan, Bin Ma, Xin Xu, Hui Bu:
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge. - Han Hu, Weiwei Song, Qun Wang, Rose Qingyang Hu, Hongbo Zhu:
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network. - Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal Scene BERT: Improving object detection by searching for challenging groups of data. - Guanhong Miao, A. Adam Ding, Samuel S. Wu:
Real-time disease prediction with local differential privacy in Internet of Medical Things. - Mohammad Vahid Jamali, Mohammad Fereydounian, Hessam Mahdavifar, Hamed Hassani:
Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels. - John Paul Ryan, Anil Damle:
Linear Time Kernel Matrix Approximation via Hyperspherical Harmonics. - Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis:
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning. - Shuhao Cao, Peng Xu, David A. Clifton:
How to Understand Masked Autoencoders. - Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri:
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. - Rajeev Verma, Eric T. Nalisnick:
Calibrated Learning to Defer with One-vs-All Classifiers. - Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li:
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. - Jiwei Nie, Joe-Mei Feng, Dingyu Xue, Pan Feng, Liu Wei, Hu Jun, Shuai Cheng:
A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition. - Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin:
Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data. - Emmanouil Alimpertis, Athina Markopoulou, Carter T. Butts, Evita Bakopoulou, Konstantinos Psounis:
A Unified Prediction Framework for Signal Maps. - Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation. - Minhui Huang, Kaiyi Ji, Shiqian Ma, Lifeng Lai:
Efficiently Escaping Saddle Points in Bilevel Optimization. - Cyril Onwubiko:
CyberOps: Situational Awareness in Cybersecurity Operations. - Shreepriya Gonzalez Jimenez, Danilo Gallo, Ricardo Sosa, Eduardo B. Sandoval, Tommaso Colombino, Antonietta Grasso:
A Decision Support Design Framework for Selecting a Robotic Interface. - Cyril Onwubiko, Karim Ouazzane:
Challenges towards Building an effective Cyber Security Operations Centre. - Roland Griesmaier, Hans-Georg Raumer:
The factorization method and Capon's method for random source identification in experimental aeroacoustics. - Michael Karnes, Alper Yilmaz:
Network Comparison Study of Deep Activation Feature Discriminability with Novel Objects. - Tino Laidin:
Hybrid Kinetic/Fluid numerical method for the Vlasov-BGK equation in the diffusive scaling. - Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George:
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. - Eduardo Benítez Sandoval, Ricardo Sosa, Massimiliano Lorenzo Cappuccio, Tomasz Bednarz:
Human-Robot Creative Interactions (HRCI): Exploring Creativity in Artificial Agents Using a Story-Telling Game. - (Withdrawn) Self-Paced Imbalance Rectification for Class Incremental Learning.
- Debojit Das, Shweta Jain, Sujit Gujar:
Budgeted Combinatorial Multi-Armed Bandits. - Sridhar Iyer, Rajashri Khanai, Dattaprasad Torse, Rahul Jashvantbhai Pandya, Khaled M. Rabie, Krishna Pai, Wali Ullah Khan, Zubair Md. Fadlullah:
A Survey on Sematic Communications for Intelligent Wireless Networks. - Lutz Oettershagen, Petra Mutzel, Nils M. Kriege:
Temporal Walk Centrality: Ranking Nodes in Evolving Networks. - Yong Xiao, Xu Zhang, Yingyu Li, Guangming Shi:
Rate-Distortion Theory for Strategic Semantic Communication. - Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das:
Fourier Representations for Black-Box Optimization over Categorical Variables. - Jacob König, Mark David Jenkins, Mike Mannion, Peter Barrie, Gordon Morison:
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification. - Guhong Nie, Lirui Xiao, Menglong Zhu, Dongliang Chu, Yue Shen, Peng Li, Kang Yang, Li Du, Bo Chen:
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision. - Christian Reiser:
Predicting and Visualizing Daily Mood of People Using Tracking Data of Consumer Devices and Services. - Robin Kips, Panagiotis-Alexandros Bokaris, Matthieu Perrot, Pietro Gori, Isabelle Bloch:
Hair Color Digitization through Imaging and Deep Inverse Graphics. - Iuliia Nigmatulina, Juan Zuluaga-Gomez, Amrutha Prasad, Seyyed Saeed Sarfjoo, Petr Motlícek:
A two-step approach to leverage contextual data: speech recognition in air-traffic communications. - Nader Zare, Ashkan Keshavarzi, Seyed Ehsan Beheshtian, Hadi Mowla, Aryan Akbarpour, Hossein Jafari, Keyvan Arab Baraghi, Mohammad Amin Zarifi, Reza Javidan:
Cyrus 2D Simulation Team Description Paper 2016. - Tao Chen, Miqing Li:
The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering. - Chloé Capon, Nicolas Lecomte, Jef Wijsen:
Computing H-Partitions in ASP and Datalog. - Bhavya Ghai, Mihir Mishra, Klaus Mueller:
Cascaded Debiasing : Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions. - Minzhao Zhu, Binglei Zhao, Tao Kong:
Navigating to Objects in Unseen Environments by Distance Prediction. - Yonghao Xu, Pedram Ghamisi:
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations. - Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang:
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation. - Marius Paul Bruchhäuser, Uwe Köcher, Markus Bause:
On the implementation of an adaptive multirate framework for coupled transport and flow. - Valentin Martinoli, Yannick Teglia, Abdellah Bouagoun, Régis Leveugle:
CVA6's Data cache: Structure and Behavior. - Hannes Hansen, Martin N. Hebart:
Semantic features of object concepts generated with GPT-3. - Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh:
Can We Generate Shellcodes via Natural Language? An Empirical Study. - Jakub Sliwinski, Yann Vonlanthen, Roger Wattenhofer:
Consensus on Demand. - Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. - Dominique Mercier, Jwalin Bhatt, Andreas Dengel, Sheraz Ahmed:
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods. - Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins:
Modeling Structure with Undirected Neural Networks. - Lioba Heimbach, Roger Wattenhofer:
Eliminating Sandwich Attacks with the Help of Game Theory. - Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin:
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning. - Dafeng Zhu, Bo Yang, Yuxiang Liu, Zhaojian Wang, Kai Ma, Xinping Guan:
Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park. - Hendric Voß, Heiko Wersing, Stefan Kopp:
Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. - Bikram Bir, Deepjyoti Goswami, Amiya Kumar Pani:
Optimal L2 error estimates of the penalty finite element method for the unsteady Navier-Stokes equations with nonsmooth initial data. - Gaétan Bahl, Lionel Daniel, Florent Lafarge:
SCR: Smooth Contour Regression with Geometric Priors. - Pragyan Dahal, Simone Mentasti, Stefano Arrigoni, Francesco Braghin, Matteo Matteucci, Federico Cheli:
Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving. - Flora Charbonnier, Thomas Morstyn, Malcolm McCulloch:
Coordination of resources at the edge of the electricity grid: systematic review and taxonomy. - Uli Fahrenberg, Christian Johansen, Georg Struth, Krzysztof Ziemianski:
A Kleene Theorem for Higher-Dimensional Automata. - Pranay Lohia:
Counterfactual Multi-Token Fairness in Text Classification. - Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna:
Feature subset selection for Big Data via Chaotic Binary Differential Evolution under Apache Spark. - Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon:
What are the best systems? New perspectives on NLP Benchmarking. - Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, YuQi Zhang, Xiuyu Sun:
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space. - Kanishak Vaidya, B. Sundar Rajan:
Private Information Delivery with Coded Storage. - Munjung Kim, Jisung Yoon, Woo-Sung Jung, Hyunuk Kim:
Quantifying the topic disparity of scientific articles. - Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz, Tobias Betz, Felix Fent, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann:
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. - Zongzheng Wang, Ping Dong:
NIMSA: Non-Interactive Multihoming Security Authentication Scheme for vehicular communications in Mobile Heterogeneous Networks. - Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Derrick Wing Kwan Ng, Yonghui Li:
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach. - Maarten Buyl, Tijl De Bie:
Optimal Transport of Binary Classifiers to Fairness. - Jiaxin Wang, Fang-Wei Fu:
New results on vectorial dual-bent functions and partial difference sets. - Po-Yung Chou, Cheng-Hung Lin, Wen-Chung Kao:
A Novel Plug-in Module for Fine-Grained Visual Classification. - Antonio Serrano-Muñoz, Nestor Arana-Arexolaleiba, Dimitrios Chrysostomou, Simon Bøgh:
skrl: Modular and Flexible Library for Reinforcement Learning. - Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados:
TimeLMs: Diachronic Language Models from Twitter. - Mehdi Sookhak, Amir Hossein Mohajerzadeh:
Joint position and trajectory optimization of flying base station in 5G cellular networks, based on users' current and predicted location. - Mehdi Sookhak, Amir Hossein Mohajerzadeh:
FSM: FBS Set Management, An energy efficient multi-drone 3D trajectory approach in cellular networks. - Anastasia Koloskova, Tao Lin, Sebastian U. Stich:
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning. - Gal Vardi, Gilad Yehudai, Ohad Shamir:
Width is Less Important than Depth in ReLU Neural Networks. - Siqi Gu, Zhichao Lian:
A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting. - Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera:
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks. - Klaudia Krawiecka, Simon Birnbach, Simon Eberz, Ivan Martinovic:
BeeHIVE: Behavioral Biometric System based on Object Interactions in Smart Environments. - Lauryn Whiteside, Savita V. Kendre, Tian Y. Fan, Jovanna A. Tracz, Gus T. Teran, Thomas C. Underwood, Mohammed E. Sayed, Haihui Joy Jiang, Adam A. Stokes, Daniel J. Preston, George M. Whitesides, Markus P. Nemitz:
The Soft Compiler: A Web-Based Tool for the Design of Modular Pneumatic Circuits for Soft Robots. - Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, Yunjun Gao:
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. - Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa:
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. - Adam Byerly, Tatiana Kalganova:
Class Density and Dataset Quality in High-Dimensional, Unstructured Data. - Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu:
Learning Optical Flow with Adaptive Graph Reasoning. - Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed, Thiab R. Taha, M. Hadi Amini, Hamid R. Arabnia:
The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics. - Fan Hu, Aozhu Chen, Xirong Li:
Targeted Trojan-Horse Attacks on Language-based Image Retrieval. - Cristian Alb:
Backtrack Tie-Breaking for Decision Trees: A Note on Deodata Predictors. - Victor von Wachter, Johannes Rude Jensen, Ferdinand Regner, Omri Ross:
NFT Wash Trading: Quantifying suspicious behaviour in NFT markets. - Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar:
Offline Reinforcement Learning for Mobile Notifications. - Molly O'Brien, Julia V. Bukowski, Mathias Unberath, Aria Pezeshk, Greg Hager:
Mapping DNN Embedding Manifolds for Network Generalization Prediction. - Tao Wang, Simin Ma, Soobin Baek, Shihao Yang:
COVID-19 Hospitalizations Forecasts Using Internet Search Data. - Deebul S. Nair, Nico Hochgeschwender, Miguel A. Olivares-Méndez:
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers. - Yingli Ran, Yaoyao Zhang, Zhao Zhang:
A parallel algorithm for minimum weight set cover with small neighborhood property. - Nisar Ahmed, Shahzad Asif:
BIQ2021: A Large-Scale Blind Image Quality Assessment Database. - Nicolò Cangiotti, Michele Loi:
Group Fairness Is Not Derivable From Justice: a Mathematical Proof. - Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen:
Robust Hybrid Learning With Expert Augmentation. - Ciwan Ceylan, Petra Poklukar, Hanna Hultin, Alexander Kravchenko, Anastasia Varava, Danica Kragic:
GraphDCA - a Framework for Node Distribution Comparison in Real and Synthetic Graphs. - Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt:
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. - Edmilson da Silva Morais, Ron Hoory, Weizhong Zhu, Itai Gat, Matheus Damasceno, Hagai Aronowitz:
Speech Emotion Recognition using Self-Supervised Features. - Guy Amir, Guy Katz, Michael Schapira:
Verification-Aided Deep Ensemble Selection. - Roberto Di Candia, Saneea Malik, Hüseyin Yigitler, Riku Jäntti:
Covert backscatter communication with directional MIMO. - George Eskandar, Janaranjani Palaniswamy, Karim Guirguis, Barath Somashekar, Bin Yang:
GLPU: A Geometric Approach For Lidar Pointcloud Upsampling. - Muhammad Ali Chattha, Ludger van Elst, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting. - Ludovica Cicci, Stefania Fresca, Andrea Manzoni, Alfio Quarteroni:
Efficient approximation of cardiac mechanics through reduced order modeling with deep learning-based operator approximation. - Jovanna A. Tracz, Lukas Wille, Dylan Pathiraja, Savita V. Kendre, Ron Pfisterer, Ethan Turett, Gus T. Teran, Christoffer K. Abrahamsson, Samuel E. Root, Won-Kyu Lee, Daniel J. Preston, Haihui Joy Jiang, George M. Whitesides, Markus P. Nemitz:
Tube-Balloon Logic for the Exploration of Fluidic Control Elements. - Steven Vethman, Ajaya Adhikari, Maaike H. T. de Boer, Joost A. G. M. van Genabeek, Cor J. Veenman:
Context-Aware Discrimination Detection in Job Vacancies using Computational Language Models. - Michael Langberg, Michelle Effros:
Network Coding Multicast Key-Capacity. - Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr:
Learnings from Federated Learning in the Real world. - Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik:
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. - Hsuan-Cheng Liao, Chih-Hong Cheng, Maximilian Kneißl, Alois C. Knoll:
Robustness Verification for Attention Networks using Mixed Integer Programming. - Matthias Mayr, Alexander Popp:
Scalable computational kernels for mortar finite element methods. - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. - Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Accelerometer-based Bed Occupancy Detection for Automatic, Non-invasive Long-term Cough Monitoring. - Vladislav Feofilaktov, Vladimir M. Itsykson:
SPIDER: Specification-based Integration Defect Revealer. - Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi-Latif, Steffen Staab, Stephan Mandt, Maja Rudolph:
Detecting Anomalies within Time Series using Local Neural Transformations. - Robert Penicka, Davide Scaramuzza:
Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments. - Carlo Baldassi:
Systematically improving existing k-means initialization algorithms at nearly no cost, by pairwise-nearest-neighbor smoothing. - Yuan Li, Wende Tan, Zhizheng Lv, Songtao Yang, Mathias Payer, Ying Liu, Chao Zhang:
PACSan: Enforcing Memory Safety Based on ARM PA. - Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar:
On Sibson's α-Mutual Information. - Jiashi Gao, Xinming Shi, James J. Q. Yu:
Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder. - Amedeo Roberto Esposito, Michael Gastpar:
From Generalisation Error to Transportation-cost Inequalities and Back. - Stephen James, Pieter Abbeel:
Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning. - Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Ling-Yu Duan:
Uncertainty Modeling for Out-of-Distribution Generalization. - Jacques Bara, Omer Lev, Paolo Turrini:
Predicting Voting Outcomes in the Presence of Communities, Echo Chambers and Multiple Parties. - Jiongbin Liu, William Yeoh, Youyang Qu, Longxiang Gao:
Blockchain-based Digital Twin for Supply Chain Management: A Literature Review and Future Research Directions. - Matthias Rath, Alexandru Paul Condurache:
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration. - Hyungtae Lee, Heesung Kwon:
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation. - Edmund Dervakos, Orfeas Menis-Mastromichalakis, Alexandros Chortaras, Giorgos Stamou:
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs. - Usman Anwar, Tughrul Arslan, Amir Hussain:
Hearing Loss, Cognitive Load and Dementia: An Overview of Interrelation, Detection and Monitoring Challenges with Wearable Non-invasive Microwave Sensors. - Ziqi Zhou, Onur Günlü, Rafael G. L. D'Oliveira, Muriel Médard, Parastoo Sadeghi, Rafael F. Schaefer:
Rainbow Differential Privacy. - Mark Eisen, Santosh Shukla, Dave Cavalcanti, Amit S. Baxi:
Communication-Control Co-design in Wireless Edge Industrial Systems. - Marcus Greferath, Jens Zumbrägel:
List Decoding of Quaternary Codes in the Lee Metric. - Xiao Liang, Jaehee Chun, Howard E. Morgan, Ti Bai, Dan Nguyen, Justin C. Park, Steve B. Jiang:
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy. - Robin Schmucker, Tom M. Mitchell:
Transferable Student Performance Modeling for Intelligent Tutoring Systems. - Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi:
Provable Reinforcement Learning with a Short-Term Memory. - Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang:
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. - Sebastian Krahmer, Stefan Ecklebe, Peter Schegner, Klaus Röbenack:
Analysis of Voltage Stability in Terms of Interactions of Q(U)-Characteristic Control in Distribution Grids. - Chidubem Arachie, Bert Huang:
Data Consistency for Weakly Supervised Learning. - Thomas Place:
The amazing mixed polynomial closure and its applications to two-variable first-order logic. - Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Equivariance versus Augmentation for Spherical Images. - Bing Yao, Jing Su, Fei Ma, Hongyu Wang, Chao Yang:
Topological Authentication Technique In Topologically Asymmetric Cryptosystem. - Rúben Queirós, Eduardo Nuno Almeida, Helder Fontes, José Ruela, Rui Campos:
Wi-Fi Rate Adaptation using a Simple Deep Reinforcement Learning Approach. - Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport:
Learning Sinkhorn divergences for supervised change point detection. - Yunqi Zhu, Wensheng Zhang, Mingjin Zhu:
Differentiable N-gram Objective on Abstractive Summarization. - Sattar Vakili, Jonathan Scarlett, Da-Shan Shiu, Alberto Bernacchia:
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. - Wojciech Przybyszewski:
VC-density and abstract cell decomposition for edge relation in graphs of bounded twin-width. - Zoë Papakipos, Giorgos Tolias, Tomás Jenícek, Ed Pizzi, Shuhei Yokoo, Wenhao Wang, Yifan Sun, Weipu Zhang, Yi Yang, Sanjay Addicam, Sergio Manuel Papadakis, Cristian Canton-Ferrer, Ondrej Chum, Matthijs Douze:
Results and findings of the 2021 Image Similarity Challenge. - Constantin Runge, Thomas Wiegart, Diego Lentner, Tobias Prinz:
Multilevel Binary Polar-Coded Modulation Achieving the Capacity of Asymmetric Channels. - Konstantinos Pelechrinis, Xin Liu, Prashant Krishnamurthy, Amy Babay:
Spotting Anomalous Trades in NFT Markets: The Case of NBA Topshot. - Pranay Gupta, Manish Gupta:
NEWSKVQA: Knowledge-Aware News Video Question Answering. - Kéren Saint-Hilaire, Frédéric Cuppens, Nora Cuppens, Joaquín García-Alfaro:
Ontology-based Attack Graph Enrichment. - Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai:
Self-supervised Contrastive Learning for Volcanic Unrest Detection. - Flora Yu Shen, Katie Luo, Guandao Yang, Harald Haraldsson, Serge J. Belongie:
Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis. - Iliya Miralavy, Alexander Bricco, Assaf A. Gilad, Wolfgang Banzhaf:
Using Genetic Programming to Predict and Optimize Protein Function. - Yunzhe Liu, Rinon Gal, Amit H. Bermano, Baoquan Chen, Daniel Cohen-Or:
Self-Conditioned Generative Adversarial Networks for Image Editing. - Andrés Beltrán-Pulido, Ilias Bilionis, Dionysios Aliprantis:
Physics-informed neural networks for solving parametric magnetostatic problems. - Haochuan Cui, Lingfei Wu, James A. Evans:
Aging Scientists and Slowed Advance. - Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá, Fábio Gagliardi Cozman:
Integrating question answering and text-to-SQL in Portuguese. - Shyam Narayanan, Erika Covi, Viktor Havel, Charlotte Frenkel, Suzanne Lancaster, Quang T. Duong, Stefan Slesazeck, Thomas Mikolajick, Melika Payvand, Giacomo Indiveri:
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices. - Subhankar Banerjee, Sennur Ulukus:
Age of Information in the Presence of an Adversary. - Raoul Schönhof, Manuel Fechter:
Towards automated Capability Assessment leveraging Deep Learning. - Roozbeh Yousefzadeh:
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images. - Jaemin Cho, Abhay Zala, Mohit Bansal:
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers. - Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi:
PrivFair: a Library for Privacy-Preserving Fairness Auditing. - Georgios Birmpas, Lyudmila Kovalchuk, Philip Lazos, Roman Oliynykov:
Parallel Contests for Crowdsourcing Reviews: Existence and Quality of Equilibria. - Yedid Hoshen:
Time Series Anomaly Detection by Cumulative Radon Features. - Yuqing Wang, Mika Mäntylä, Zihao Liu, Jouni Markkula:
Test Automation Maturity Improves Product Quality - Quantitative Study of Open Source Projects Using Continuous Integration. - Aditya Pandey, Anshuman Mitra:
Detecting and Localizing Copy-Move and Image-Splicing Forgery. - Ailing Chen, Shengchang Li, Jichen Xiong, Kezhong Jin, Zhenzhou Tang:
Joint user association and power allocation in ultra-dense mmWave networks: a multi-connectivity approach. - Benedikt Hosp:
Latent gaze information in highly dynamic decision-tasks. - Zhigang Tu, Jiaxu Zhang, Hongyan Li, Yujin Chen, Junsong Yuan:
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition. - Kun Wang, Jingyi Wang, Christopher M. Poskitt, Xiangxiang Chen, Jun Sun, Peng Cheng:
K-ST: A Formal Executable Semantics of PLC Structured Text Language. - Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan:
Machine Explanations and Human Understanding. - Constantino Álvarez Casado, Miguel Bordallo López:
Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces. - Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri:
Teaching Networks to Solve Optimization Problems. - Cen Wan, Alex Alves Freitas:
Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces. - Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro:
A Lagrangian Duality Approach to Active Learning. - Georg Kohl, Li-Wei Chen, Nils Thuerey:
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. - Guangyao Zhou, Nishanth Kumar, Miguel Lázaro-Gredilla, Shrinu Kushagra, Dileep George:
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX. - Yue Song, Hao Tang, Nicu Sebe, Wei Wang:
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling. - Eammon Hart, Joshua A. McGinnis:
Physical Zero-knowledge Proofs for Flow Free, Hamiltonian Cycles, and Many-to-many k-disjoint Covering Paths. - Yun-Cheng Tsai, Fu-Min Szu, Jun-Hao Chen, Samuel Yen-Chi Chen:
Financial Vision Based Reinforcement Learning Trading Strategy. - Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal, Asifullah Khan:
IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN. - Ahmed A. M. Hassan, Ahmad Adnan Qidan, Mansourah K. A. Aljohani, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Random Linear Network Coding in NOMA Optical Wireless Networks. - Achraf Bahamou, Donald Goldfarb, Yi Ren:
A Mini-Block Natural Gradient Method for Deep Neural Networks. - Mahdi Esmaily:
A stabilized formulation for the solution of the incompressible unsteady Stokes equations in the frequency domain. - Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic:
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. - Ivan Rodin, Antonino Furnari, Dimitrios Mavroeidis, Giovanni Maria Farinella:
Untrimmed Action Anticipation. - Zhiyuan Li, Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants. - Biljana Bojovic, Zoraze Ali, Sandra Lagén, Katerina Koutlia:
ns-3 and 5G-LENA extensions to support MIMO. - Taro Makino, Krzysztof J. Geras, Kyunghyun Cho:
Generative multitask learning mitigates target-causing confounding. - Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna C. Garikipati, Lori Graham-Brady, Amanda A. Howard, George Em Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, J. Nathan Kutz, Chunhui Li, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki:
Machine Learning in Heterogeneous Porous Materials. - Sudhanshu Chanpuriya, Cameron Musco:
Simplified Graph Convolution with Heterophily. - Illia Kaliuzhnyi, Christoph Ortner:
Optimal Evaluation of Symmetry-Adapted n-Correlations Via Recursive Contraction of Sparse Symmetric Tensors. - Manuel Birlo, P. J. Eddie Edwards, Matthew J. Clarkson, Danail Stoyanov:
Utility of Optical See-Through Head Mounted Displays in Augmented Reality-Assisted Surgery: A systematic review. - Eduard Zubchuk, Dmitry Menshikov, Nikolay Mikhaylovskiy:
Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants. - Aaron B. Wagner:
The Rate-Distortion-Perception Tradeoff: The Role of Common Randomness. - Zhibin Zou, Maqsood Careem, Aveek Dutta, Ngwe Thawdar:
Unified Characterization and Precoding for Non-Stationary Channels. - Vinicius Couto, Luciano G. Zago, Hervé Yviquel, Guido Araújo:
Source Matching and Rewriting. - Mehrdad Moharrami, Yashaswini Murthy, Arghyadip Roy, Rayadurgam Srikant:
A Policy Gradient Algorithm for the Risk-Sensitive Exponential Cost MDP. - Sajjad Beygi, Maryam Fazel-Zarandi, Alessandra Cervone, Prakash Krishnan, Siddhartha Reddy Jonnalagadda:
Logical Reasoning for Task Oriented Dialogue Systems. - Xiufeng Xu, Liang Hong:
Instantaneous and limiting behavior of an n-node blockchain under cyber attacks from a single hacker. - Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. - Eladio Montero-Porras, Jelena Grujic, Elias Fernández Domingos, Tom Lenaerts:
Inferring Strategies from Observations in Long Iterated Prisoner's Dilemma Experiments. - Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro:
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. - Sarah Huestis-Mitchell, Xiuyuan Cheng, Yao Xie:
Police Text Analysis: Topic Modeling and Spatial Relative Density Estimation. - Eleonora Misino, Giuseppe Marra, Emanuele Sansone:
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. - Sayed Hashim, Muhammad Ali:
TransformNet: Self-supervised representation learning through predicting geometric transformations. - Aneesh Raman, Subhadeep Sarkar, Matthaios Olma, Manos Athanassoulis:
OSM-tree: A Sortedness-Aware Index. - Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
FMP: Toward Fair Graph Message Passing against Topology Bias. - Timo Heister, Katrin Mang, Thomas Wick:
Robust preconditioning for a mixed formulation of phase-field fracture problems. - Wilayat Khan, Zhe Hou, David Sanán, Jamel Nebhen, Yang Liu, Alwen Tiu:
An Executable Formal Model of the VHDL in Isabelle/HOL. - Adam J. Thorpe, Thomas Lew, Meeko M. K. Oishi, Marco Pavone:
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. - Petra Csomós, Dávid Kunszenti-Kovács:
A second-order Magnus-type integrator for evolution equations with delay. - Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. - Masoud Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis:
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery. - Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation. - Omar Costa Hamido:
QAC: Quantum-computing Aided Composition. - Udesh Gunarathna, Shanika Karunasekera, Renata Borovica-Gajic, Egemen Tanin:
Intelligent Autonomous Intersection Management. - Stephanie Aelmore, Richard C. Ordonez, Shibin Parameswaran, Justin Mauger:
Real-Time Event-Based Tracking and Detection for Maritime Environments. - Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho:
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. - Kuan-Cheng Lee, Hong-Tzer Yang, Wen-jun Tang:
Data-Driven Online Interactive Bidding Strategy for Demand Response. - Kazuki Adachi, Shin'ya Yamaguchi:
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations. - Terence Conlon, Christopher Small, Vijay Modi:
A multiscale spatiotemporal approach for smallholder irrigation detection. - Kexue Fu, Peng Gao, Renrui Zhang, Hongsheng Li, Yu Qiao, Manning Wang:
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning. - Mi Zhou, Hongye Liu, Zhekun Lv, Wei Hong, Xiai Chen:
Motion-Aware Transformer For Occluded Person Re-identification. - Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu:
Regulatory Instruments for Fair Personalized Pricing. - Xiaolei Hua, Lin Zhu, Shenglin Zhang, Zeyan Li, Su Wang, Dong Zhou, Shuo Wang, Chao Deng:
GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection. - Yuchen Li, Frank Rudzicz:
Improving greedy core-set configurations for active learning with uncertainty-scaled distances. - Yiqi Jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming C. Lin, Hao Li:
GiraffeDet: A Heavy-Neck Paradigm for Object Detection. - Lu Zhang, Liwei Xu, Tao Yin:
On the hyper-singular boundary integral equation methods for dynamic poroelasticity: three dimensional case. - Yaozhong Zhang:
Colouring the sculpture through corresponding area from 2D to 3D with augmented reality. - Chen Shen, Yi Liu, Wenzhi Fan, Bin Wang, Shixue Wen, Yao Tian, Jun Zhang, Jingsheng Yang, Zejun Ma:
The Volcspeech system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge. - Sungjin Im, Ravi Kumar, Aditya Petety, Manish Purohit:
Parsimonious Learning-Augmented Caching. - Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, Kaishun Wu:
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis. - Felipe Areces, Dan Song, Richard D. Wesel, Aaron B. Wagner:
Efficiently Computable Converses for Finite-Blocklength Communication. - Tomoya Takahashi, Masahiro Watanabe, Kenjiro Tadakuma, Naoto Saiki, Kazuki Abe, Masashi Konyo, Satoshi Tadokoro:
Inflated Bendable Eversion Cantilever Mechanism with Inner Skeleton for Increased Payload Holding. - Abhishek Moitra, Youngeun Kim, Priyadarshini Panda:
Adversarial Detection without Model Information. - Karthik S. Gurumoorthy, Abhiraj Hinge:
A decision-tree framework to select optimal box-sizes for product shipments. - Timos Antonopoulos, Eric Koskinen, Ton Chanh Le, Ramana Nagasamudram, David A. Naumann, Minh Ngo:
An algebra of alignment for relational verification. - Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, R. Venkatesh Babu:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. - Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
Learning to Bootstrap for Combating Label Noise. - Junwen Yang, Zixin Zhong, Vincent Y. F. Tan:
Optimal Clustering with Bandit Feedback. - Jun Liu, Ye Yuan:
On Almost Sure Convergence Rates of Stochastic Gradient Methods. - Linli Yao, Weiying Wang, Qin Jin:
Image Difference Captioning with Pre-training and Contrastive Learning. - Peiying Zhang, Chunxiao Jiang, Xue Pang, Yi Qian:
STEC-IoT: A Security Tactic by Virtualizing Edge Computing on IoT. - Van-Hoang Le, Hongyu Zhang:
Log-based Anomaly Detection with Deep Learning: How Far Are We? - Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson:
On the Implicit Bias of Gradient Descent for Temporal Extrapolation. - Hasib-Al Rashid, Pretom Roy Ovi, Aryya Gangopadhyay, Tinoosh Mohsenin:
TinyM2Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices. - Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad:
Compiler Support for Sparse Tensor Computations in MLIR. - Jiawen Zhang, Abhijit Mishra, Avinesh P. V. S., Siddharth Patwardhan, Sachin Agarwal:
Can Open Domain Question Answering Systems Answer Visual Knowledge Questions? - Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, Sungjoon Choi:
Conditional Motion In-betweening. - Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge:
Vertical Federated Learning: Challenges, Methodologies and Experiments. - Yuxi Mi, Jihong Guan, Shuigeng Zhou:
ARIBA: Towards Accurate and Robust Identification of Backdoor Attacks in Federated Learning. - Chen Yang, Peng Liang, Liming Fu, Guorui Cui, Fei Huang, Feng Teng, Yawar Abbas Bangash:
Using 5G in Smart Cities: A Systematic Mapping Study. - Yinhao Jiang, Ba Dung Le, Tanveer A. Zia, Praveen Gauravaram:
Privacy Concerns Raised by Pervasive User Data Collection From Cyberspace and Their Countermeasures. - Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
Optimal Congestion Control for Time-varying Wireless Links. - Lu Wang, Jie Yang, Masoumeh Zareapoor, Zhonglong Zheng:
Anchor Graph Structure Fusion Hashing for Cross-Modal Similarity Search. - Il-Youp Kwak, Sunmook Choi, Jonghoon Yang, Yerin Lee, Seungsang Oh:
CAU_KU team's submission to ADD 2022 Challenge task 1: Low-quality fake audio detection through frequency feature masking. - Kazuhiko Sakaguchi:
Reflexive tactics for algebra, revisited. - Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons:
Imitation Learning by State-Only Distribution Matching. - Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu:
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. - Raz Yerushalmi, Guy Amir, Achiya Elyasaf, David Harel, Guy Katz, Assaf Marron:
Scenario-Assisted Deep Reinforcement Learning. - Luc Dartois, Paul Gastin, R. Govind, Shankara Narayanan Krishna:
Efficient Construction of Reversible Transducers from Regular Transducer Expressions. - Daniël Reijsbergen, Aung Maw, Tien Tuan Anh Dinh, Wen-Tai Li, Chau Yuen:
Securing Smart Grids Through an Incentive Mechanism for Blockchain-Based Data Sharing. - Gal Vardi, Gilad Yehudai, Ohad Shamir:
Gradient Methods Provably Converge to Non-Robust Networks. - Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. - Tsubasa Oizumi, Takeshi Kai, Takuya Mieno, Shunsuke Inenaga, Hiroki Arimura:
Cartesian Tree Subsequence Matching. - Francesco Fusco, Damian Pascual, Peter W. J. Staar:
pNLP-Mixer: an Efficient all-MLP Architecture for Language. - Sagi Levanon, Nir Rosenfeld:
Generalized Strategic Classification and the Case of Aligned Incentives. - Shijie Wang, Xi Chen, Chao Zhao, Yuxin Kong, Baojun Lin, Yongyi Wu, Zhaozhao Bi, Ziyi Xuan, Tao Li, Yuxiang Li, Wei Zhang, En Ma, Zhongrui Wang, Wei Ma:
Molecular-scale Integration of Multi-modal Sensing and Neuromorphic Computing with Organic Electrochemical Transistors. - Théo Ladune, Pierrick Philippe:
AIVC: Artificial Intelligence based Video Codec. - Samet Gelincik, Philippe Mary, Anne Savard, Jean-Yves Baudais:
Increasing the Minimum Distance of Polar-Like Codes with Pre-Transformation. - Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant:
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression. - Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke:
A new perspective on classification: optimally allocating limited resources to uncertain tasks. - Beixiong Zheng, Rui Zhang:
Simultaneous Transmit Diversity and Passive Beamforming with Large-Scale Intelligent Reflecting Surface. - Hao Wang, Haoyuan He, Weiwei Shang, Zhen Kan:
Temporal Logic Guided Motion Primitives for Complex Manipulation Tasks with User Preferences. - Xinyu Li, Yang Xu, Xiaohu Zhang, Wenzhong Shi, Yang Yue, Qingquan Li:
Improving short-term bike sharing demand forecast through an irregular convolutional neural network. - Bingkai Lin, Xuandi Ren, Yican Sun, Xiuhan Wang:
Constant Approximating Parameterized k-SetCover is W[2]-hard. - Nitzan Madar, Kiril Solovey, Oren Salzman:
Leveraging Experience in Lifelong Multi-Agent Pathfinding. - Samir M. Perlaza, Gaetan Bisson, Iñaki Esnaola, Alain Jean-Marie, Stefano Rini:
Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis. - Andrea Brugnoli, Ramy Rashad, Stefano Stramigioli:
Dual field structure-preserving discretization of port-Hamiltonian systems using finite element exterior calculus. - Duo Wang, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
Model Architecture Adaption for Bayesian Neural Networks. - Jens Ahrens:
Binaural Audio Rendering in the Spherical Harmonic Domain: A Summary of the Mathematics and its Pitfalls. - Saumya Bajpai, Deepjyoti Goswami, Kallol Ray:
A Priori Error Estimates of a Discontinuous Galerkin Finite Element Method for the Kelvin-Voigt Viscoelastic Fluid Motion Equations. - Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed, Kiran Madhusudhanan, Shereen Elsayed, Mohsan Jameel, Alexei Volk, Andre Hintsches, Marlies Kornfeld, Katrin Lange, Lars Schmidt-Thieme:
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG. - Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy:
Agree to Disagree: Diversity through Disagreement for Better Transferability. - Son Truong Nguyen, Nguyen Quang Tuyen, Nguyen Hong Phuc:
Deep Feature Rotation for Multimodal Image Style Transfer. - Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li:
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. - Ron Dorfman, Kfir Y. Levy:
Adapting to Mixing Time in Stochastic Optimization with Markovian Data. - Filipe Roseiro Côgo, Xin Xia, Ahmed E. Hassan:
Assessing the alignment between the information needs of developers and the documentation of programming languages: A case study on Rust. - Tanvi Karandikar, Avinash Prabhu, Mehul Mathur, Megha Arora, Hemank Lamba, Ponnurangam Kumaraguru:
Co-WIN: Really Winning? Analysing Inequity in India's Vaccination Response. - Assia Benbihi, Cédric Pradalier, Ondrej Chum:
Object-Guided Day-Night Visual Localization in Urban Scenes. - Guodong Li, Min Ye, Sihuang Hu:
Adjacent-Bits-Swapped Polar codes: A new code construction to speed up polarization. - Wei Lin, Changhong Zhao:
AC-Feasible Power Transfer Regions of Virtual Power Plants: Characterization and Application. - Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping. - Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad, Jebran Khan, Nasir Ahmad, Ala I. Al-Fuqaha:
Merit-based Fusion of NLP Techniques for Instant Feedback on Water Quality from Twitter Text. - Dimos Makris, Zixun Guo, Maximos A. Kaliakatsos-Papakostas, Dorien Herremans:
Conditional Drums Generation using Compound Word Representations. - Nina Chiarelli, Clément Dallard, Andreas Darmann, Stefan Lendl, Martin Milanic, Peter Mursic, Ulrich Pferschy, Nevena Pivac:
Allocation of Indivisible Items with Individual Preference Graphs. - Zahra Gharaee:
Predicting the intended action using internal simulation of perception. - Yonatan Vaizman, Hongcheng Wang:
MapiFi: Using Wi-Fi Signals to Map Home Devices. - Bruno Jartoux:
Counting Kernels in Directed Graphs with Arbitrary Orientations. - Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang:
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL. - Muhammad Umer, Robi Polikar:
False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger. - Adeel Mahmood, Aaron B. Wagner:
Minimax Rate-Distortion. - Jasmin Brandt, Björn Haddenhorst, Viktor Bengs, Eyke Hüllermeier:
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget. - Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer:
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. - Man Zhu, Changshi Xiao, Shangding Gu, Zhe Du, Yuanqiao Wen:
A Circle Grid-based Approach for Obstacle Avoidance Motion Planning of Unmanned Surface Vehicles. - Hamidreza Modares:
Data-driven Safe Control of Linear Systems Under Epistemic and Aleatory Uncertainties. - Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer:
Contextualize Me - The Case for Context in Reinforcement Learning. - Krystal Maughan, Ivoline C. Ngong, Joseph P. Near:
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers. - Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli:
Optimal learning rate schedules in high-dimensional non-convex optimization problems. - Tom F. Sterkenburg, Peter D. Grünwald:
The no-free-lunch theorems of supervised learning. - Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen:
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. - David P. Woodruff, Amir Zandieh:
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time. - Pascal Weinmüller, Thomas Takacs:
An approximate C1 multi-patch space for isogeometric analysis with a comparison to Nitsche's method. - Ramaswamy Ramanujam, Vaishnavi Sundararajan, S. P. Suresh:
Protocol Insecurity with Assertions. - Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha:
Obtaining Dyadic Fairness by Optimal Transport. - Subhadeep Sarkar, Dimitris Staratzis, Zichen Zhu, Manos Athanassoulis:
Constructing and Analyzing the LSM Compaction Design Space (Updated Version). - Tianquan Tang, Lixi Huang:
Soundiation: A multi-functional GUI-based software in evaluation of the acoustophoresis by the acoustic radiation force and torque on arbitrary axisymmetric objects. - Frantishek Akulich, Hadis Anahideh, Manaf Sheyyab, Dhananjay Ambre:
Explainable Predictive Modeling for Limited Spectral Data. - Leandro Aparecido Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel:
A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. - Harrison Rosenberg, Robi Bhattacharjee, Kassem Fawaz, Somesh Jha:
An Exploration of Multicalibration Uniform Convergence Bounds. - Yuwei Li, Longwen Zhang, Zesong Qiu, Yingwenqi Jiang, Yuyao Zhang, Nianyi Li, Yuexin Ma, Lan Xu, Jingyi Yu:
NIMBLE: A Non-rigid Hand Model with Bones and Muscles. - Shi Jin, Nana Liu, Yue Yu:
Time complexity analysis of quantum difference methods for linear high dimensional and multiscale partial differential equations. - Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. - Michael Hertneck, Frank Allgöwer:
Dynamic self-triggered control for nonlinear systems with delays. - Tianqi Hou, Yuhao Liu, Teng Fu, Jean Barbier:
Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices. - Florian Frohn, Jürgen Giesl:
Proving Non-Termination and Lower Runtime Bounds with LoAT (System Description). - Laura Homiller, Lei Zhou:
Self-Sensing Hysteresis-Type Bearingless Motor. - Yongjian Li, Yan Chen, Gaicong Guo, Huiwen Wu, Zhao Yuan:
Integrated routing for a vehicle-robot pickup and delivery system with time constraints. - Sébastien Bubeck, Christian Coester, Yuval Rabani:
Shortest Paths without a Map, but with an Entropic Regularizer. - Xin Tao, Zhao Yuan:
Real-time decision-making for autonomous vehicles under faults. - Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. - Andrea K. Thomer, Dharma Akmon, Jeremy York, Allison R. B. Tyler, Faye Polasek, Sara Lafia, Libby Hemphill, Elizabeth Yakel:
The craft and coordination of data curation: complicating "workflow" views of data science. - Ashwin Singh, Arvindh A, Ayushi Jain, Pooja Desur, Pulak Malhotra, Duen Horng Chau, Ponnurangam Kumaraguru:
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on the Google Play Store. - Sheng-Guo Wang, Shanshan Jiang:
Optimal Hyperparameters and Structure Setting of Multi-Objective Robust CNN Systems via Generalized Taguchi Method and Objective Vector Norm. - DeAnna S. Gilchrist, John A. Evans:
A note on the conservation properties of the generalized-α method. - Charles B. Schaff, Audrey Sedal, Matthew R. Walter:
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer. - Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Liò, Michael M. Bronstein:
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. - Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. - Larissa Braz, Christian Aeberhard, Gül Çalikli, Alberto Bacchelli:
Less is More: Supporting Developers in Vulnerability Detection during Code Review. - Viktor Bengs, Aadirupa Saha, Eyke Hüllermeier:
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models. - Yong Woo Jeong, Chung Choo Chung:
A Nonlinear Proportional Integral Disturbance Observer and Motion Control Technique for Permanent Magnet Synchronous Motors. - Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato:
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo. - Abdesslem Layeb:
New hard benchmark functions for global optimization. - Weihang Yuan, Hector Muñoz-Avila, Venkatsampath Raja Gogineni, Sravya Kondrakunta, Michael T. Cox, Lifang He:
Task Modifiers for HTN Planning and Acting. - Peter Johanns, Timm Haucke, Volker Steinhage:
Distance Estimation and Animal Tracking for Wildlife Camera Trapping. - Seny Kamara, Mallory Knodel, Emma Llansó, Greg Nojeim, Lucy Qin, Dhanaraj Thakur, Caitlin Vogus:
Outside Looking In: Approaches to Content Moderation in End-to-End Encrypted Systems. - Md. Morshed Alam, Md Sajidul Islam Sajid, Weichao Wang, Jinpeng Wei:
IoTMonitor: A Hidden Markov Model-based Security System to Identify Crucial Attack Nodes in Trigger-action IoT Platforms. - Oscar López, Rajiv Kumar, Nick Moldoveanu, Felix J. Herrmann:
Graph Spectrum Based Seismic Survey Design. - Marco Pegoraro, Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx:
Analyzing Medical Data with Process Mining: a COVID-19 Case Study. - Zoltán Kovács, Róbert Vajda:
Symbolic Comparison of Geometric Quantities in GeoGebra. 13-25 - Zoltán Kovács, Jonathan H. Yu:
Automated Discovery of Geometrical Theorems in GeoGebra. 1-12 - Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai:
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. - Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Reducing Redundancy in the Bottleneck Representation of the Autoencoders. - Pol Van Aubel, Erik Poll:
Security of EV-Charging Protocols. - Md Kamran Chowdhury Shisher, Tasmeen Zaman Ornee, Yin Sun:
A Local Geometric Interpretation of Feature Extraction in Deep Feedforward Neural Networks. - Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee:
Offline Reinforcement Learning with Realizability and Single-policy Concentrability. - Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg:
Point-Level Region Contrast for Object Detection Pre-Training. - Joseph Bakarji, Jared Callaham, Steven L. Brunton, J. Nathan Kutz:
Dimensionally Consistent Learning with Buckingham Pi. - Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields:
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. - Maya Malaviya, Ilia Sucholutsky, Kerem Oktar, Thomas L. Griffiths:
Can Humans Do Less-Than-One-Shot Learning? - Valentin Villecroze, Harry J. Braviner, Panteha Naderian, Chris J. Maddison, Gabriel Loaiza-Ganem:
Bayesian Nonparametrics for Offline Skill Discovery. - Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Non-Linear Spectral Dimensionality Reduction Under Uncertainty. - Raimund Bürger, Stefan Diehl, M. Carmen Martí, Yolanda Vásquez:
A degenerating convection-diffusion system modelling froth flotation with drainage. - Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier:
A Joint Variational Multichannel Multiphase Segmentation Framework. - Kovila P. L. Coopamootoo, Maryam Mehrnezhad, Ehsan Toreini:
"I feel invaded, annoyed, anxious and I may protect myself": Individuals' Feelings about Online Tracking and their Protective Behaviour across Gender and Country. - Amir Masoud Jafarpisheh, Mahtab Mirmohseni, Mohammad Ali Maddah-Ali:
Distributed Attribute-based Private Access Control. - Leonardo Gobatto, Mateus Saquetti, Cláudio Machado Diniz, Bruno Zatt, Weverton Cordeiro, José Rodrigo Azambuja:
Improving Content-Aware Video Streaming in Congested Networks with In-Network Computing. - George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. - Nathan Haut, Wolfgang Banzhaf, Bill Punch:
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP. - Elynn Y. Chen, Michael I. Jordan, Sai Li:
Transferred Q-learning. - Zoe Landgraf, Alexander Sorkine-Hornung, Ricardo Silveira Cabral:
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations. - Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Designing Closed Human-in-the-loop Deferral Pipelines. - Dan Garber, Ben Kretzu:
New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees. - Annan Yu, Alex Townsend:
On the stability of unevenly spaced samples for interpolation and quadrature. - Christoph Grunau, Václav Rozhon, Sebastian Brandt:
The Landscape of Distributed Complexities on Trees and Beyond. - Charangan Vasantharajan, Sean Benhur, Prasanna Kumar Kumaresan, Rahul Ponnusamy, Sathiyaraj Thangasamy, Ruba Priyadharshini, Thenmozhi Durairaj, Kanchana Sivanraju, Anbukkarasi Sampath, Bharathi Raja Chakravarthi, John Philip McCrae:
TamilEmo: Finegrained Emotion Detection Dataset for Tamil. - Jake Buzhardt, Phanindra Tallapragada:
Terrain parameter estimation from proprioceptive sensing of the suspension dynamics in offroad vehicles. - Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Thomas L. Griffiths:
Predicting Human Similarity Judgments Using Large Language Models. - Tal Ben-Haim, Tammy Riklin-Raviv:
Graph Neural Network for Cell Tracking in Microscopy Videos. - Wenxuan Guo, YoonHaeng Hur, Tengyuan Liang, Christopher Ryan:
Online Learning to Transport via the Minimal Selection Principle. - Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. - Manoel Júnior, Philipe F. Melo, Daniel Kansaon, Vitor Mafra, Kaio Sá, Fabrício Benevenuto:
Telegram Monitor: Monitoring Brazilian Political Groups and Channels on Telegram. - Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander:
FedQAS: Privacy-aware machine reading comprehension with federated learning. - M. Rasel Mahmud, Michael Stewart, Alberto Cordova, John Quarles:
Auditory Feedback for Standing Balance Improvement in Virtual Reality. - Guilherme C. M. Gomes, Bruno Porto Masquio, Paulo E. D. Pinto, Vinícius Fernandes dos Santos, Jayme Luiz Szwarcfiter:
Weighted Connected Matchings. - Thanh Nguyen-Duc, Peter Y. Chan, Andrew Tay, David Chen, John Tan Nguyen, Jessica Lyall, Maria De Freitas:
Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow. - Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani:
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. - Adrianna Janik, Kris Sankaran:
Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization. - Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang:
DeepSSN: a deep convolutional neural network to assess spatial scene similarity. - Le-Anh Tran, Seok-Yong Moon, Dong-Chul Park:
A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing. - Sonal Mahajan, Mukul R. Prasad:
Providing Real-time Assistance for Repairing Runtime Exceptions using Stack Overflow Posts. - Adrianna Janik, Kris Sankaran:
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data. - Hyeokjin Kwon, Jong-Min Lee:
Boosting Graph Neural Networks by Injecting Pooling in Message Passing. - Ling Yang, Shenda Hong, Luxia Zhang:
Spectral Propagation Graph Network for Few-shot Time Series Classification. - Ling Yang, Shenda Hong, Luxia Zhang:
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning. - Stephen I. Gallant:
Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a "Soft" VSA Representation for JSON. - Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh:
GrASP: Gradient-Based Affordance Selection for Planning. - Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa, Marta R. Costa-jussà:
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation. - Jung Im Choi, Qing Tian:
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios. - Niklas T. Lauffer, Mahsa Ghasemi, Abolfazl Hashemi, Yagiz Savas, Ufuk Topcu:
No-Regret Learning in Dynamic Stackelberg Games. - Olivia Brown, Brad Dillman:
Proceedings of the Robust Artificial Intelligence System Assurance (RAISA) Workshop 2022. - Simon Thomann, Paul R. Genssler, Hussam Amrouch:
HW/SW Co-design for Reliable In-memory Brain-inspired Hyperdimensional Computing. - Zhifan Ye, Zhengchun Zhou, Pingzhi Fan, Zilong Liu, Xianfu Lei, Xiaohu Tang:
Low Ambiguity Zone: Theoretical Bounds and Doppler-Resilient Sequence Design in Integrated Sensing and Communication Systems. - Hunter Nisonoff, Yixin Wang, Jennifer Listgarten:
Augmenting Neural Networks with Priors on Function Values. - Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi:
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. - Shubhayu Bhattacharyay, Ioan Milosevic, Lindsay Wilson, David K. Menon, Robert D. Stevens, Ewout W. Steyerberg, David W. Nelson, Ari Ercole:
The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence. - Lane D. Smith, Daniel S. Kirschen:
Should Storage-Centric Tariffs be Extended to Commercial Flexible Demand? - Tao Yu, Yichi Zhang, Zhiru Zhang, Christopher De Sa:
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning. - Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu:
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling. - Jingguang Tian, Xinhui Hu, Xinkang Xu:
Royalflush Speaker Diarization System for ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge. - Shuangfu Song, Junqiao Zhao, Tiantian Feng, Chen Ye, Lu Xiong:
Scale Estimation with Dual Quadrics for Monocular Object SLAM. - Hussein Hazimeh, Rahul Mazumder, Tim Nonet:
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization. - Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim:
Measuring disentangled generative spatio-temporal representation. - Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. - Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. - Liangjun Feng, Chunhui Zhao, Xi Li:
Bias-Eliminated Semantic Refinement for Any-Shot Learning. - Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-aware Molecular Graph Generation. - Muhammad Iqbal Rochman, Damián Fernández, Norlen Nunez, Vanlin Sathya, Ahmed S. Ibrahim, Monisha Ghosh, William Payne:
Impact of Device Thermal Performance on 5G mmWave Communication Systems. - Eva Agapaki, Ioannis K. Brilakis:
Geometric Digital Twinning of Industrial Facilities: Retrieval of Industrial Shapes. - Nate Gruver, Marc Finzi, Samuel Stanton, Andrew Gordon Wilson:
Deconstructing the Inductive Biases of Hamiltonian Neural Networks. - Sara Jafarbeiki, Raj Gaire, Amin Sakzad, Shabnam Kasra Kermanshahi, Ron Steinfeld:
Collaborative analysis of genomic data: vision and challenges. - Aparna Ananthasubramaniam, David Jurgens, Daniel M. Romero:
Networks and Identity Drive Geographic Properties of the Diffusion of Linguistic Innovation. - Zexin Liu, Akil Narayan:
A Stieltjes algorithm for generating multivariate orthogonal polynomials. - Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates:
Multi-relation Message Passing for Multi-label Text Classification. - Erfan Al-Hossami, Samira Shaikh:
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective. - Dylan Slack, Yinlam Chow, Bo Dai, Nevan Wichers:
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition. - Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang:
PPA: Preference Profiling Attack Against Federated Learning. - Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity induced Human Motion Segmentation. - Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang:
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning. - Evangelia Gergatsouli, Christos Tzamos:
Online Learning for Min Sum Set Cover and Pandora's Box. - Paul Francis:
A Note on the Misinterpretation of the US Census Re-identification Attack. - Devansh Jain, Luis Espinosa Anke:
Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction. - Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Memory-based gaze prediction in deep imitation learning for robot manipulation. - Di Song, Shengyao Chen, Feng Xi, Zhong Liu:
Space-Time Adaptive Processing Using Random Matrix Theory Under Limited Training Samples. - Xianggang Yu, Jiapeng Tang, Yipeng Qin, Chenghong Li, Linchao Bao, Xiaoguang Han, Shuguang Cui:
PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis. - Suman Samui, Indrajit Chakrabarti, Soumya K. Ghosh:
Auditory Model based Phase-Aware Bayesian Spectral Amplitude Estimator for Single-Channel Speech Enhancement. - Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Craig A. Knoblock:
Towards the automated large-scale reconstruction of past road networks from historical maps. - Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. - Julie Imbert, Gohar Dashyan, Alex Goupilleau, Tugdual Ceillier, Marie-Caroline Corbineau:
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning. - Vincent Vidal, Marie-Caroline Corbineau, Tugdual Ceillier:
Case-based reasoning for rare events prediction on strategic sites. - Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. - Igor Chollet, Xavier Claeys, Pierre Fortin, Laura Grigori:
A Directional Equispaced interpolation-based Fast Multipole Method for oscillatory kernels. - Baoxin Wang, Qingye Meng, Ziyue Wang, Dayong Wu, Wanxiang Che, Shijin Wang, Zhigang Chen, Cong Liu:
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities. - Fitsum A. Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, Brian Curless:
FILM: Frame Interpolation for Large Motion. - Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz:
Investigating Explainability of Generative AI for Code through Scenario-based Design. - Romeo Valentin, Claudio Ferrari, Jérémy Scheurer, Andisheh Amrollahi, Chris Wendler, Max B. Paulus:
Instance-wise algorithm configuration with graph neural networks. - Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis:
Discovering plasticity models without stress data. - Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen:
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. - Weiye Gan, Xintong Liu, Yicheng Li, Zuoqiang Shi:
A non-local gradient based approach of infinity Laplacian with Γ-convergence. - Shir Peleg, Amir Shpilka:
Robust Sylvester-Gallai type theorem for quadratic polynomials. - Beomsu Kim, Jong Chul Ye:
Energy-Based Contrastive Learning of Visual Representations. - Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Graph Neural Network for Local Corruption Recovery. - Sungmin Cho, Raehyuk Jung, Junseok Kwon:
Spherical Transformer. - Leonardo Lucio Custode, Giovanni Iacca:
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs. - Merey Ramazanova, Victor Escorcia, Fabian Caba Heilbron, Chen Zhao, Bernard Ghanem:
OWL (Observe, Watch, Listen): Localizing Actions in Egocentric Video via Audiovisual Temporal Context. - Anh Nguyen-Duc, Dron Khanna, Des Greer, Xiaofeng Wang, Luciana Martinez Zaina, Gerardo Matturro, Jorge Melegati, Eduardo Martins Guerra, Giang Huong Le, Petri Kettunen, Sami Hyrynsalmi, Henry Edison, Afonso Sales, Didzis Rutitis, Kai-Kristian Kemell, Abdullah Aldaeej, Tommi Mikkonen, Juan Garbajosa, Pekka Abrahamsson:
Work-from-home and its implication for project management, resilience and innovation - a global survey on software companies. - Moshe Shienman, Vadim Indelman:
D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints. - Tino Werner:
Loss-guided Stability Selection. - Jose Berengueres, Maryam Al Kuwaiti, Ahmed Yasir, Kenjiro Tadakuma:
Sound masking degrades perception of self-location during stepping: A case for sound-transparent spacesuits for Mars. - Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. - Lorenzo Vaquero, Víctor M. Brea, Manuel Mucientes:
Real-Time Siamese Multiple Object Tracker with Enhanced Proposals. - Dennis Pinto, José-María Arnau, Antonio González:
ASRPU: A Programmable Accelerator for Low-Power Automatic Speech Recognition. - Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He:
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. - Ryan Watkins, Soheil Human:
Needs-aware Artificial Intelligence: AI that 'serves [human] needs'. - Juan C. Pérez, Motasem Alfarra, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition. - Axel Marmoret, Jérémy E. Cohen, Frédéric Bimbot:
Barwise Compression Schemes for Audio-Based Music Structure Analysis. - Srikanth Srinivasan:
A Robust Version of Hegedűs's Lemma, with Applications. - Felix Krahmer, Anna Veselovska:
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation. - Mira Gonen, Michael Langberg, Alex Sprintson:
Group Testing on General Set-Systems. - Haoran Wu, Axel Marmoret, Jérémy E. Cohen:
Semi-Supervised Convolutive NMF for Automatic Music Transcription. - Dennis Pinto, José-María Arnau, Antonio González:
Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs. - Ales Zagar, Marko Robnik-Sikonja:
Slovene SuperGLUE Benchmark: Translation and Evaluation. - Yimin Yang, Siamak Mehrkanoon:
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. - Sadaf ul Zuhra, Samir M. Perlaza, H. Vincent Poor, Eitan Altman:
Achievable Information-Energy Region in the Finite Block-Length Regime with Finite Constellations. - Yujin Tang, Yingtao Tian, David Ha:
EvoJAX: Hardware-Accelerated Neuroevolution. - Minheng Ni, Chenfei Wu, Haoyang Huang, Daxin Jiang, Wangmeng Zuo, Nan Duan:
NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN. - Ming Ding, Rasmus Kyng, Maximilian Probst Gutenberg, Peng Zhang:
Hardness Results for Laplacians of Simplicial Complexes via Sparse-Linear Equation Complete Gadgets. - Lam-Thanh Tu, Abbas Bradai, Yannis Pousset:
Coverage Probability and Spectral Efficiency Analysis of Multi-Gateway Downlink LoRa Networks. - Wei Wu, Fengchun Yang, Fuhui Zhou, Han Hu, Qihui Wu, Rose Qingyang Hu:
Intelligent Resource Allocations for IRS-Assisted OFDM Communications: A Hybrid MDQN-DDPG Approach. - Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
CMOS Circuits for Shape-Based Analog Machine Learning. - Jiani Fan, Wenzhuo Yang, Kwok-Yan Lam:
Cybersecurity Challenges Of IoT-enabled Smart Cities: A Survey. - Sylvie Boldo, François Clément, Vincent Martin, Micaela Mayero, Houda Mouhcine:
Lebesgue Induction and Tonelli's Theorem in Coq. - Tom F. Sterkenburg:
On characterizations of learnability with computable learners. - Jemin Lee, Misun Yu, Yongin Kwon, Taeho Kim:
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment. - Sadaf ul Zuhra, Prasanna Chaporkar, Abhay Karandikar, Pranav Jha:
Leveraging Multi-Connectivity for Multicast Video Streaming. - Zuowen Wang, Yuhuang Hu, Shih-Chii Liu:
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers. - Meelis Lootus, Kartik Thakore, Sam Leroux, Geert Trooskens, Akshay Sharma, Holly Ly:
A VM/Containerized Approach for Scaling TinyML Applications. - Paz Fink Shustin, Shashanka Ubaru, Vasileios Kalantzis, Lior Horesh, Haim Avron:
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty. - Maximilian Vierlboeck, Carlo Lipizzi, Roshanak Nilchiani:
Natural Language in Requirements Engineering for Structure Inference - An Integrative Review. - Zhenyu Zhu, Fabian Latorre, Grigorios G. Chrysos, Volkan Cevher:
Controlling the Complexity and Lipschitz Constant improves polynomial nets. - Harald G. Svendsen:
Optimised operation of low-emission offshore oil and gas platform integrated energy systems. - Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Leveraging Google's Publisher-specific IDs to Detect Website Administration. - Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News sites. - Travis Gagie:
MONI can find k-MEMs. - Lucas Berent, Markus Nissl, Emanuel Sallinger:
Complexity of Arithmetic in Warded Datalog+-. - (Withdrawn) Backpropagation Clipping for Deep Learning with Differential Privacy.
- Kyeong-Joong Jeong, Jin-Duk Park, Kyusoon Hwang, Seong-Lyun Kim, Won-Yong Shin:
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data. - Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, Ahmed Trabelsi, Thomas Dalgaty, Gabriel Molas, François Andrieu, Stefano Brivio, Sabina Spiga, Giacomo Indiveri, Melika Payvand, Elisa Vianello:
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. - Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil V. Vlatakis-Gkaragkounis:
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals. - Simon Hubmer, Ekaterina Sherina:
Characterizations of Adjoint Sobolev Embedding Operators for Inverse Problems. - Ankit Gupta, Jinfeng Du, Dmitry Chizhik, Reinaldo A. Valenzuela, Mathini Sellathurai:
Machine Learning-based Urban Canyon Path Loss Prediction using 28 GHz Manhattan Measurements. - Daria Boratyn, Wojciech Slomczynski, Dariusz Stolicki, Stanislaw Szufa:
Spoiler Susceptibility in Multi-District Party Elections. - Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu:
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. - Ainesh Bakshi, Kenneth L. Clarkson, David P. Woodruff:
Low-Rank Approximation with 1/ε1/3 Matrix-Vector Products. - Tobias Schuster, Emmanouil Seferis, Simon Burton, Chih-Hong Cheng:
Unaligned but Safe - Formally Compensating Performance Limitations for Imprecise 2D Object Detection. - Shay Mozes, Nathan Wallheimer, Oren Weimann:
Improved Compression of the Okamura-Seymour Metric. - Ahmed Akakzia, Olivier Serris, Olivier Sigaud, Cédric Colas:
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents. - Guillermo Romera Rodriguez, Sanjana Gautam, Andrea H. Tapia:
Understanding Twitters behavior during the pandemic: Fake News and Fear. - Kaiyue Wu, Xiao-Jun Zeng:
DDA3C: Cooperative Distributed Deep Reinforcement Learning in A Group-Agent System. - Daning Cheng, Wenguang Chen:
Quantization in Layer's Input is Matter. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie:
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. - Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Transferable and Adaptable Driving Behavior Prediction. - Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
On the Acquisition of Stationary Signals Using Uniform ADCs. - Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Frassetto Nogueira:
InPars: Data Augmentation for Information Retrieval using Large Language Models. - Chantal Amrhein, Rico Sennrich:
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET. - Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Feature-level augmentation to improve robustness of deep neural networks to affine transformations. - Jong-Hyeon Jeong, Yichen Jia:
DeepCENT: Prediction of Censored Event Time via Deep Learning. - Pauliina Kärkkäinen, Riku Linna:
Optimal reservoir computers for forecasting systems of nonlinear dynamics. - Milad Vazan:
Machine Learning and Data Science: Foundations, Concepts, Algorithms, and Tools. - Jérôme Durand-Lose, Hendrik Jan Hoogeboom, Natasa Jonoska:
Deterministic Non-cooperative Binding in Two-Dimensional Tile Assembly Systems Must Have Ultimately Periodic Paths. - Giulio Tirabassi, Ji Kaiwen, Cristina Masoller, Alejandro M. Yacomotti:
Image classification using collective optical modes of an array of nanolasers. - Fagner Sutel de Moura, Christine Tessele Nodari:
Application of the Affinity Propagation Clustering Technique to obtain traffic accident clusters at macro, meso, and micro levels. - Christopher Battarbee, Delaram Kahrobaei, Siamak F. Shahandashti:
Semidirect Product Key Exchange: the State of Play. - Francesco Pase, Deniz Gündüz, Michele Zorzi:
Remote Contextual Bandits. - John Dunham, Konstantinos Papangelis, Samuli Laato, Nicolas J. LaLone, Jin Ha Lee, Michael Saker:
Pokémon GO to Pokémon STAY: How Covid-19 Affected Pokémon GO Players. - Pranay Gorantla, Kunal Marwaha, Santhoshini Velusamy:
Fair allocation of a multiset of indivisible items. - Marco Virgolin, Andrea De Lorenzo, Tanja Alderliesten, Peter A. N. Bosman:
Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning. - Yao-Yuan Yang, Kamalika Chaudhuri:
Understanding Rare Spurious Correlations in Neural Networks. - Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses:
Robust and fair work allocation. - Christoph Leitner, Robert Jarolim, Bernhard Englmair, Annika Kruse, Karen Andrea Lara Hernandez, Andreas Konrad, Eric Yung-Sheng Su, Jörg Schröttner, Luke A. Kelly, Glen A. Lichtwark, Markus Tilp, Christian Baumgartner:
A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images. - Shivani Kamtikar, Samhita Marri, Benjamin Walt, Naveen Kumar Uppalapati, Girish Krishnan, Girish Chowdhary:
Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment. - Dean Zadok, Oren Salzman, Alon Wolf, Alex M. Bronstein:
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation. - Arun Zachariah, Praveen Rao, Brian Corn, Dominique Davison:
Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design. - Matthew L. Daggitt, Wen Kokke, Robert Atkey, Luca Arnaboldi, Ekaterina Komendantskaya:
Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers. - Peter Sullivan, Toshiko Shibano, Muhammad Abdul-Mageed:
Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding. - Moritz Lippert, Felix Glatzki, Hermann Winner:
Behavior-Semantic Scenery Description (BSSD) of Road Networks for Automated Driving. - Stephan Lukasczyk, Gordon Fraser:
Pynguin: Automated Unit Test Generation for Python. - Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin:
Reliabuild: Searching for High-Fidelity Builds Using Active Learning. - Ruiwen Dong:
On the Identity Problem for Unitriangular Matrices of Dimension Four. - Sawinder Kaur, Ferdinando Fioretto, Asif Salekin:
Deadwooding: Robust Global Pruning for Deep Neural Networks. - Eduardo Espíndola, Yu Tang:
A Novel Four-DOF Lagrangian Approach to Attitude Tracking for Rigid Spacecraft. - Subhankar Banerjee, Sennur Ulukus:
Game Theoretic Analysis of an Adversarial Status Updating System. - Xuechen Liu, Md. Sahidullah, Tomi Kinnunen:
Learnable Nonlinear Compression for Robust Speaker Verification. - Qing Jin, Jian Ren, Richard Zhuang, Sumant Hanumante, Zhengang Li, Zhiyu Chen, Yanzhi Wang, Kaiyuan Yang, Sergey Tulyakov:
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. - Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori:
ChemicalX: A Deep Learning Library for Drug Pair Scoring. - Xingyu Liu, Deepak Pathak, Kris M. Kitani:
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. - Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer:
Monotone Learning. - Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu, Victor Paduani, Bei Xu, Lidong Song, Yiyan Li, Ning Lu, Mesut A. Baran, David Lubkeman, Wenyuan Tang:
SA-HMTS: A Secure and Adaptive Hierarchical Multi-timescale Framework for Resilient Load Restoration Using A Community Microgrid. - Kaito Watanabe, Kotaro Sakamoto, Ryo Karakida, Sho Sonoda, Shun-ichi Amari:
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel. - Manoj Niverthi, Gaurav Verma, Srijan Kumar:
Characterizing, Detecting, and Predicting Online Ban Evasion. - Sitan Chen, Aravind Gollakota, Adam R. Klivans, Raghu Meka:
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks. - Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov:
Locating and Editing Factual Knowledge in GPT. - Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar:
Block-NeRF: Scalable Large Scene Neural View Synthesis. - Anastasios N. Angelopoulos, Amit P. S. Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano:
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. - Neerav Karani, Georg Brunner, Ertunc Erdil, Simin Fei, Kerem Can Tezcan, Krishna Chaitanya, Ender Konukoglu:
A Field of Experts Prior for Adapting Neural Networks at Test Time. - Suman Samui:
Single-channel speech enhancement by using psychoacoustical model inspired fusion framework. - Deok-Kyeong Jang, Soomin Park, Sung-Hee Lee:
Motion Puzzle: Arbitrary Motion Style Transfer by Body Part. - Sourbh Bhadane, Aaron B. Wagner:
On One-Bit Quantization. - Charles E. Thornton, R. Michael Buehrer, Harpreet S. Dhillon, Anthony F. Martone:
Universal Learning Waveform Selection Strategies for Adaptive Target Tracking. - Kewang Chen, Cornelis Vuik:
Non-stationary Anderson acceleration with optimized damping. - Mathias Ibsen, Christian Rathgeb, Pawel Drozdowski, Christoph Busch:
Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition. - Marcin Brianski, Martin Koutecký, Daniel Král, Kristýna Pekárková, Felix Schröder:
Characterization of matrices with bounded Graver bases and depth parameters and applications to integer programming. - Max W. Shen:
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient. - Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras:
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks. - Michael Kläs, Lisa Jöckel, Rasmus Adler, Jan Reich:
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components. - Holger Boche, Minglai Cai, Moritz Wiese:
Mosaics of Combinatorial Designs for Semantic Security on Quantum Wiretap Channels. - Dominic Kao, Rabindra A. Ratan, Christos Mousas, Amogh Joshi, Edward F. Melcer:
Audio Matters Too: How Audial Avatar Customization Enhances Visual Avatar Customization. - Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang:
A Multi-task Learning Framework for Product Ranking with BERT. - Mingrui Ray Zhang, Ashley Boone, Sara M. Behbakht, Alexis Hiniker:
Understanding the Digital News Consumption Experience During the COVID Pandemic. - Sarah Spall, Neil Mitchell, Sam Tobin-Hochstadt:
Forward Build Systems, Formally. - Simon Larsén, Jean-Rémy Falleri, Benoit Baudry, Martin Monperrus:
Spork: Structured Merge for Java with Formatting Preservation. - Daniel Louzada Fernandes, Marcos Henrique Fonseca Ribeiro, Fabio Ribeiro Cerqueira, Michel Melo Silva:
Describing image focused in cognitive and visual details for visually impaired people: An approach to generating inclusive paragraphs. - Frank E. Ritter, Mathieu Brener:
An Initial Description of Capabilities and Constraints for a Computational Auditory System (an Artificial Ear) for Cognitive Architectures. - Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Factored World Models for Zero-Shot Generalization in Robotic Manipulation. - Chi Zhang, Christian Berger:
Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction. - Johan Kon, Marcel Heertjes, Tom Oomen:
Neural Network Training Using Closed-Loop Data: Hazards and an Instrumental Variable (IVNN) Solution. - A. Feder Cooper, Benjamin Laufer, Emanuel Moss, Helen Nissenbaum:
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning. - Apostolos Avranas, Marios Kountouris:
Coded ResNeXt: a network for designing disentangled information paths. - Túlio Marcondes Moreira, Jackson Geraldo de Faria Jr., Pedro O. S. Vaz de Melo, Gilberto Medeiros-Ribeiro:
Development and Validation of an AI-Driven Model for the La Rance Tidal Barrage: A Generalisable Case Study. - David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler:
Domain Adversarial Training: A Game Perspective. - Frédéric Dupuis, Robert Y. Lewis, Heather Macbeth:
Formalized functional analysis with semilinear maps. - Milo Trujillo, Maurício Gruppi, Cody Buntain, Benjamin D. Horne:
The MeLa BitChute Dataset. - Daniel B. Arnold, Shammya Saha, Sy-Toan Ngo, Ciaran M. Roberts, Anna Scaglione, Nathan G. Johnson, Sean Peisert, David Pinney:
Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability. - Carla Viegas, Mert Inan, Lorna C. Quandt, Malihe Alikhani:
Including Facial Expressions in Contextual Embeddings for Sign Language Generation. - Hyeongyu Lee, Jaegeun Park, Changjin Koo, Jong-Chan Kim, Yongsoon Eun:
Cyclops: Open Platform for Scale Truck Platooning. - Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi:
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. - Alireza Sadeghi:
Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks. - Guangyi Zhang, Ali Etemad:
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition. - Krzysztof Z. Gajos, Lena Mamykina:
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning. - Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song:
Learning Temporal Rules from Noisy Timeseries Data. - Han-Dong Lim, Do Wan Kim, Donghwan Lee:
Regularized Q-learning. - Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma:
Incremental Learning of Structured Memory via Closed-Loop Transcription. - Jingyi Mei, Ming Xu, Ji Guan, Yuxin Deng, Nengkun Yu:
Checking Continuous Stochastic Logic against Quantum Continuous-Time Markov Chains. - Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou, Chun-Houh Chen, Kwan-Liu Ma:
A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. - Yuantian Miao, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang:
FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation. - Idan Attias, Steve Hanneke, Yishay Mansour:
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability. - Runlong Zhou, Yuandong Tian, Yi Wu, Simon S. Du:
Understanding Curriculum Learning in Policy Optimization for Solving Combinatorial Optimization Problems. - Zhenhao Tang, Qingyu Meng, Shengxian Cao, Yang Li, Zhongha Mu, Xiaoya Pang:
Wind power ramp prediction algorithm based on wavelet deep belief network. - Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner:
A Survey on Programmatic Weak Supervision. - Minju Kim, Beong-woo Kwak, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo:
Dual Task Framework for Improving Persona-grounded Dialogue Dataset. - Alekh Agarwal, Tong Zhang:
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift. - Fangfang Dou, Wanli Du:
Determination the Solution of a Stochastic Parabolic Equation by the Terminal Value. - Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng:
Invariance Principle Meets Out-of-Distribution Generalization on Graphs. - Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan:
Computational-Statistical Gaps in Reinforcement Learning. - Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, Tuomas Sandholm:
Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria. - Miao Dai, Long Luo, Jing Ren, Hongfang Yu, Gang Sun:
PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks. - Claudio Gentile, Zhilei Wang, Tong Zhang:
Achieving Minimax Rates in Pool-Based Batch Active Learning. - Jia Huei Tan, Ying Hua Tan, Chee Seng Chan, Joon Huang Chuah:
ACORT: A Compact Object Relation Transformer for Parameter Efficient Image Captioning. - Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar:
Robust estimation algorithms don't need to know the corruption level. - Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. - Shahrukh Khan, Mahnoor Shahid:
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention. - Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov:
Conditional Contrastive Learning with Kernel. - Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon:
Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds. - Guanglong Xu, Zhensheng Hu, Jia Cai:
WAD-CMSN: Wasserstein Distance based Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval. - Ruikang Yang, Jianfeng Ma, Yinbin Miao, Xindi Ma:
Privacy-preserving Generative Framework Against Membership Inference Attacks. - Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang:
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. - Heiko Becker, Mohit Tekriwal, Eva Darulova, Anastasia Volkova, Jean-Baptiste Jeannin:
Dandelion: Certified Approximations of Elementary Functions. - Muhy Eddin Za'ter, Bashar Talafha:
Bench-Marking And Improving Arabic Automatic Image Captioning Through The Use Of Multi-Task Learning Paradigm. - Gwanghyeon Ji, Juhyeok Mun, Hyeongjun Kim, Jemin Hwangbo:
Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion. - Péter Biró, Gergely Csáji:
Strong core and Pareto-optimal solutions for the multiple partners matching problem under lexicographic preferences. - Johannes Zerwas, Csaba Györgyi, Andreas Blenk, Stefan Schmid, Chen Avin:
Kevin: de Bruijn-based topology with demand-aware links and greedy routing. - Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon:
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. - Jiangpeng He, Fengqing Zhu:
Exemplar-free Online Continual Learning. - Farzeen Munir, Shoaib Azam, Byung-Geun Lee, Moongu Jeon:
Multi-Modal Fusion for Sensorimotor Coordination in Steering Angle Prediction. - Arif Ali Khan, Aakash Ahmad, Muhammad Waseem, Peng Liang, Mahdi Fahmideh, Tommi Mikkonen, Pekka Abrahamsson:
Software Architecture for Quantum Computing Systems - A Systematic Review. - Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R. Manmatha, Pietro Perona:
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. - Sangmin Lee, Byeongsu Sim, Jong Chul Ye:
Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks. - Jonas Haldimann, Christoph Beierle:
Inference with System W Satisfies Syntax Splitting. - Niladri Das, B. Sundar Rajan:
Multi-Access Coded Caching Schemes from Maximal Cross Resolvable Designs. - Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwar Subramanian, Sanjay Bhat:
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs. - Francesco Banterle, Demetris Marnerides, Kurt Debattista, Thomas Bashford-Rogers:
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video? - Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen:
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. - Rui Guo, Ivor Simpson, Chris Kiefer, Thor Magnusson, Dorien Herremans:
MusIAC: An extensible generative framework for Music Infilling Applications with multi-level Control. - Daniel Gratzer:
An inductive-recursive universe generic for small families. - Lingyun Chai, Zilong Liu, Pei Xiao, Amine Maaref, Lin Bai:
An Improved EPA based Receiver Design for Uplink LDPC Coded SCMA System. - H. Toprak Kesgin, Mehmet Fatih Amasyali:
Cyclical Curriculum Learning. - Kevin Fauvel, Alessandro Finamore, Lixuan Yang, Fuxing Chen, Dario Rossi:
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. - Ayman Elhalwagy, Tatiana Kalganova:
Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data. - Sandro Bardelli, Claudia Ferretti, Luca Andrea Ludovico, Giorgio Presti, Maurizio Rinaldi:
A Sonification of the zCOSMOS Galaxy Dataset. - Ali Sercan Basyurt, Julian Marx, Stefan Stieglitz, Milad Mirbabaie:
Designing a Social Media Analytics Dashboard for Government Agency Crisis Communications. - Stefan Walzer:
Insertion Time of Random Walk Cuckoo Hashing below the Peeling Threshold. - Chau Tran, Kaylea Champion, Benjamin Mako Hill, Rachel Greenstadt:
The Risks, Benefits, and Consequences of Prepublication Moderation: Evidence from 17 Wikipedia Language Editions. - Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Rob V. van Nieuwpoort:
Lightning: Scaling the GPU Programming Model Beyond a Single GPU. - Antonio Jiménez-Pastor, Marko Petkovsek:
The Factorial-Basis Method for Finding Definite-Sum Solutions of Linear Recurrences With Polynomial Coefficients. - Weiming Feng, Heng Guo, Jiaheng Wang:
Improved bounds for randomly colouring simple hypergraphs. - Matthias Bolten, Sven-Erik Ekström, Isabella Furci, Stefano Serra-Capizzano:
A note on the spectral analysis of matrix sequences via GLT momentary symbols: from all-at-once solution of parabolic problems to distributed fractional order matrices. - L. Sunil Chandran, Rishikesh Gajjala:
Perfect Matchings and Quantum Physics: Progress on Krenn's Conjecture. - Ziao Qin, Haifan Yin, Yandi Cao, Weidong Li, David Gesbert:
A Partial Reciprocity-based Channel Prediction Framework for FDD massive MIMO with High Mobility. - Sayak Ray Chowdhury, Xingyu Zhou:
Shuffle Private Linear Contextual Bandits. - Yajun Cheng, Wei Peng, Chongwen Huang, George C. Alexandropoulos, Chau Yuen, Mérouane Debbah:
RIS-Aided Wireless Communications: Extra Degrees of Freedom via Rotation and Location Optimization. - Yeeun Kim, Byeongho Yu, Eungchang Mason Lee, Joon-Ha Kim, Haewon Park, Hyun Myung:
STEP: State Estimator for Legged Robots Using a Preintegrated foot Velocity Factor. - Gerbert Roitburd, Matthias Ortmann, Matthias Hollick, Jiska Classen:
Very Pwnable Network: Cisco AnyConnect Security Analysis. - Steven P. Reiss, Qi Xin:
A Quick Repair Facility for Debugging. - Evgenia Romanenkova, Alina Rogulina, Anuar Shakirov, Nikolay Stulov, Alexey Zaytsev, Leyla S. Ismailova, Dmitry Kovalev, Klemens Katterbauer, Abdallah A. AlShehri:
Similarity learning for wells based on logging data. - Mohit Tekriwal, Joshua Miller, Jean-Baptiste Jeannin:
Formal verification of iterative convergence of numerical algorithms. - Gabin Maxime Nguegnang, Marcellin Atemkeng, Theophilus Ansah-Narh, Rockefeller Rockefeller, Jecinta Mulongo, Marco Andrea Garuti:
Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks. - Longwen Zhang, Chuxiao Zeng, Qixuan Zhang, Hongyang Lin, Ruixiang Cao, Wei Yang, Lan Xu, Jingyi Yu:
Video-driven Neural Physically-based Facial Asset for Production. - Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar:
The Shapley Value in Machine Learning. - Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou:
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. - Qinqing Zheng, Amy Zhang, Aditya Grover:
Online Decision Transformer. - Geunsik Lim, Yonghwi Kwon, Joonbae Park, Chul-Joo Kim:
Non-Stop & Non-Breakable Code Review Services in a Distributed System: Detecting Issues in Real Time. - Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu:
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. - Ehud Shapiro:
Self-Sovereign Personal Cryptocurrencies: Foundations for Grassroots Cryptoeconomy. - Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi:
Audio-Based Deep Learning Frameworks for Detecting COVID-19. - Haimin Luo, Teng Xu, Yuheng Jiang, Chenglin Zhou, Qiwei Qiu, Yingliang Zhang, Wei Yang, Lan Xu, Jingyi Yu:
Artemis: Articulated Neural Pets with Appearance and Motion synthesis. - Ifteher Alom, Md. Sadek Ferdous, Mohammad Jabed Morshed Chowdhury:
BlockMeter: An Application Agnostic Performance Measurement Framework For Private Blockchain Platforms. - Jack J. Mayo, Hédi Hadiji, Tim van Erven:
Scale-free Unconstrained Online Learning for Curved Losses. - Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard:
Efficient Kernel UCB for Contextual Bandits. - Alessandro Berti, Anahita Farhang Ghahfarokhi, Gyunam Park, Wil M. P. van der Aalst:
A Scalable Database for the Storage of Object-Centric Event Logs. - Kostadin Rajkovic, Eduard Enoiu:
NALABS: Detecting Bad Smells in Natural Language Requirements and Test Specifications. - Neil Thapen:
Notes on switching lemmas. - Jeffrey R. Haack, Cory D. Hauck, Christian Klingenberg, Marlies Pirner, Sandra Warnecke:
Numerical schemes for a multi-species BGK model with velocity-dependent collision frequency. - Haleh Tabrizi, Borja Peleato, Golnaz Farhadi, John M. Cioffi, Ghadah Aldabbagh:
Spatial Reuse in Dense Wireless Areas: A Cross-layer Optimization Approach via ADMM. - Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo:
InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification. - Emile Parolin, Daan Huybrechs, Andrea Moiola:
Stable approximation of Helmholtz solutions by evanescent plane waves. - Yabin Zhu, Chenglong Li, Yao Liu, Xiao Wang, Jin Tang, Bin Luo, Zhixiang Huang:
Tiny Object Tracking: A Large-scale Dataset and A Baseline. - Borja Peleato, Rajiv Agarwal, John M. Cioffi, Minghai Qin, Paul H. Siegel:
Adaptive Read Thresholds for NAND Flash. - Awais Aziz Shah, Ahsan Adeel, Jawad Ahmad, Ahmed Yassin Al-Dubai, Mandar Gogate, Abhijeet Bishnu, Muhammad Diyan, Tassadaq Hussain, Kia Dashtipour, Tharm Ratnarajah, Amir Hussain:
A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal Hearing Aids. - Ivana Lucin, Sinisa Druzeta, Goran Mausa, Marta Alvir, Luka Grbcic, Darija Vukic Lusic, Ante Sikirica, Lado Kranjcevic:
Predictive modeling of microbiological seawater quality classification in karst region using cascade model. - Peiying Zhang, Fanglin Liu, Chunxiao Jiang, Abderrahim Benslimane, Juan-Luis Gorricho, Joan Serrat-Fernández:
A Multi-Domain VNE Algorithm based on Load Balancing in the IoT networks. - Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu:
Rethinking Graph Convolutional Networks in Knowledge Graph Completion. - Ange Richard, Gilles Bastin, François Portet:
GenderedNews: Une approche computationnelle des écarts de représentation des genres dans la presse française. - Md Faizul Bari, Parv Agrawal, Baibhab Chatterjee, Shreyas Sen:
Statistical Analysis Based Feature Selection Enhanced RF-PUF with >99.8% Accuracy on Unmodified Commodity Transmitters for IoT Physical Security. - Keyu Chen, Di Zhuang, J. Morris Chang:
SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion Classification. - Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash:
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. - Jean Christoph Jung, Carsten Lutz, Jerzy Marcinkowski:
Conservative Extensions for Existential Rules. - Sana Sabah Sabry, Tosin P. Adewumi, Nosheen Abid, György Kovács, Foteini Liwicki, Marcus Liwicki:
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer. - Claire Mathieu, Hang Zhou:
A Tight 3/2+ε-Approximation for Unsplittable Capacitated Vehicle Routing on Trees. - Vikraman Arvind, Abhranil Chatterjee, Partha Mukhopadhyay:
Black-box Identity Testing of Noncommutative Rational Formulas of Inversion Height Two in Deterministic Quasipolynomial-time. - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Continual Learning with Invertible Generative Models. - Jonas Sonntag, Gunnar Behrens, Lars Schmidt-Thieme:
Positive-Unlabeled Domain Adaptation. - Lise Noel, Mathias Schmidt, Keenan Doble, John A. Evans, Kurt Maute:
XIGA: An eXtended IsoGeometric Analysis approach for multi-material problems. - Congcong Wu, Xiangyun Gao, Xueyong Liu, Bowen Sun:
Self-adjusting optimization algorithm for solving the setunion knapsack problem. - Henk Barendregt, Antonino Raffone:
Axiomatizing consciousness, with applications. - Thorsten Wißmann:
Minimality Notions via Factorization Systems and Examples. - Anahita Farhang Ghahfarokhi, Wil M. P. van der Aalst:
A Python Tool for Object-Centric Process Mining Comparison. - Barun Gorain, Partha Sarathi Mandal, Kaushik Mondal, Supantha Pandit:
Collaborative Dispersion by Silent Robots. - Erica Lin, Luna Xu, Suraj Bramhavar, Marco Montes de Oca, Sean Gorsky, Lingyun Yi, Arianna Groetsema, Jeffrey Chou:
Global Optimization of Data Pipelines in Heterogeneous Cloud Environments. - Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao:
Cross Domain Few-Shot Learning via Meta Adversarial Training. - Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. - Thomas Krendl Gilbert, Sarah Dean, Tom Zick, Nathan Lambert:
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems. - Daniel Wolff, Rémi Mignot, Axel Roebel:
Audio Defect Detection in Music with Deep Networks. - Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause:
Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges. - Zesheng Chen:
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems. - Ahmad Hammoudeh, Bastien Vanderplaetse, Stéphane Dupont:
Deep soccer captioning with transformer: dataset, semantics-related losses, and multi-level evaluation. - Vasily A. Sartakov, Lluís Vilanova, David M. Eyers, Takahiro Shinagawa, Peter R. Pietzuch:
CAP-VMs: Capability-Based Isolation and Sharing for Microservices. - Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Amir Landesberg, Joachim A. Behar:
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography. - Matteo Pagliardini, Gilberto Manunza, Martin Jaggi, Michael I. Jordan, Tatjana Chavdarova:
Improving Generalization via Uncertainty Driven Perturbations. - Yingfeng Cai, Junqiao Zhao, Jiafeng Cui, Fenglin Zhang, Chen Ye, Tiantian Feng:
Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy for place recognition. - Thibaut Verron:
On the computation of Gröbner bases for pluriweighted-homogeneous systems. - Isaac Grosof, Michael Mitzenmacher:
Incentive Compatible Queues Without Money. - Evann Courdier, François Fleuret:
Borrowing from yourself: Faster future video segmentation with partial channel update. - Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang:
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense. - Naomichi Shimada, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto:
GitHub Sponsors: Exploring a New Way to Contribute to Open Source. - Tassadaq Hussain, Muhammad Diyan, Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Yu Tsao, Amir Hussain:
A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning. - Abigail Swenor, Jugal Kalita:
Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models. - Emily Wenger, Francesca Falzon, Josephine Passananti, Haitao Zheng, Ben Y. Zhao:
Assessing Privacy Risks from Feature Vector Reconstruction Attacks. - George Baravdish, Gabriel Eilertsen, Rym Jaroudi, B. Tomas Johansson, Lukás Malý, Jonas Unger:
Learning via nonlinear conjugate gradients and depth-varying neural ODEs. - Vladimir A. Kobzar, Robert V. Kohn:
A PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Bandit. - Alina Chertock, Christopher Leonard, Semyon Tsynkov:
Finding the Shape of Lacunae of the Wave Equation Using Artificial Neural Networks. - Lei Zhang, Vaastav Anand, Zhiqiang Xie, Ymir Vigfusson, Jonathan Mace:
The Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems. - Nian Guo, Victoria Kostina:
Reliability function for streaming over a DMC with feedback. - Melina Merkel, Bernard Kapidani, Sebastian Schöps, Rafael Vázquez Hernández:
Torque Computation with the Isogeometric Mortar Method for the Simulation of Electric Machines. - James Goodman, Diego Perez Liebana, Simon Lucas:
Visualising Multiplayer Game Spaces. - Jeremiah Blocki, Elena Grigorescu, Tamalika Mukherjee:
Privately Estimating Graph Parameters in Sublinear time. - Shahrukh Khan, Mahnoor Shahid, Navdeeppal Singh:
White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense. - Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber:
A Modern Self-Referential Weight Matrix That Learns to Modify Itself. - Xiangru Zhu, Zhixu Li, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao, Nicholas Jing Yuan:
Multi-Modal Knowledge Graph Construction and Application: A Survey. - Tran Cao Son, Enrico Pontelli, Marcello Balduccini, Torsten Schaub:
Answer Set Planning: A Survey. - Haoyang Cao, Xin Guo, Guan Wang:
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system. - Pranjal Awasthi, Christopher Jung, Jamie Morgenstern:
Distributionally Robust Data Join. - Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber:
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention. - Feicheng Wang, Lucas Janson:
Rate-matching the regret lower-bound in the linear quadratic regulator with unknown dynamics. - Nicolò Dal Fabbro, Subhrakanti Dey, Michele Rossi, Luca Schenato:
A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing. - Michael Farber, Shmuel Weinberger:
Parametrized motion planning and topological complexity. - Rajeev Sangal:
Evaluating MT Systems: A Theoretical Framework. - Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake A. Richards:
Investigating Power laws in Deep Representation Learning. - Raphaël Bulle, Olga Barrera, Stéphane P. A. Bordas, Franz Chouly, Jack S. Hale:
An a posteriori error estimator for the spectral fractional power of the Laplacian. - John McConnell, Fanfei Chen, Brendan J. Englot:
Overhead Image Factors for Underwater Sonar-based SLAM. - Matt Luckcuck, Marie Farrell, Oisín Sheridan:
Why just FRET when you can Refactor? Retuning FRETISH Requirements. - Andrea Poltronieri, Aldo Gangemi:
The HaMSE Ontology: Using Semantic Technologies to support Music Representation Interoperability and Musicological Analysis. - Aakash Khandelwal, Nilay Kant, Ranjan Mukherjee:
Nonprehensile Manipulation of a Stick Using Impulsive Forces. - Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Expectation Consistent Plug-and-Play for MRI. - Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen, Bogyu Park, Seungbum Hong, Min-Kook Choi, Michael Peven, Yunshuang Li, Yonghao Long, Qi Dou, Satyadwyoom Kumar, Seenivasan Lalithkumar, Hongliang Ren, Hiroki Matsuzaki, Yuto Ishikawa, Yuriko Harai, Satoshi Kondo, Mamoru Mitsuishi, Pierre Jannin:
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? - Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir:
CLIPasso: Semantically-Aware Object Sketching. - Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein:
End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking. - Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang:
Automated Architecture Search for Brain-inspired Hyperdimensional Computing. - Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi:
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. - Kentaro Wada, Stephen James, Andrew J. Davison:
SafePicking: Learning Safe Object Extraction via Object-Level Mapping. - Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gündüz:
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing. - Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt:
Predicting Out-of-Distribution Error with the Projection Norm. - Shangyou Zhang:
The nodal basis of Cm-Pk3 and Cm-Pk4 finite elements on tetrahedral and 4D simplicial grids. - Murray Shanahan, Melanie Mitchell:
Abstraction for Deep Reinforcement Learning. - Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Fast Model-based Policy Search for Universal Policy Networks. - Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Uncertainty Aware System Identification with Universal Policies. - Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro:
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data. - Paolo Sylos Labini, Massimo Bernaschi, Francesco Silvestri, Flavio Vella:
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators. - Zachary Grannan, Niki Vazou, Eva Darulova, Alexander J. Summers:
REST: Integrating Term Rewriting with Program Verification (Extended Version). - Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos:
Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. - Nina Klobas, George B. Mertzios, Hendrik Molter, Paul G. Spirakis:
The complexity of computing optimum labelings for temporal connectivity. - Bhuvesh Kumar, Jamie Morgenstern, Okke Schrijvers:
Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets. - Sunho Jang, Necmiye Ozay, Johanna L. Mathieu:
An Invariant Set Construction Method, Applied to Safe Coordination of Thermostatic Loads. - Karishma, Shrisha Rao:
Cooperative Solutions to Exploration Tasks Under Speed and Budget Constraints. - Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar:
Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. - Mahshad Shariatnasab, Farhad Shirani, Zahid Anwar:
Privacy Limits in Power-Law Bipartite Networks under Active Fingerprinting Attacks. - Simon Grützner, Adrian Muntean:
Identifying Processes Governing Damage Evolution in Quasi-Static Elasticity. Part 2 - Numerical Simulations. - Leisha DeHart-Davis, Nicole Humphrey, Travis A. Whetsell:
Can We Talk? An Exploratory Study of Gender and Network Ties in a Local Government Setting. - Jiawen Xiong, Yong Shi, Boyuan Chen, Filipe Roseiro Côgo, Zhen Ming Jiang:
Towards Build Verifiability for Java-based Systems. - Antonio Blanca, Sarah Cannon, Will Perkins:
Fast and perfect sampling of subgraphs and polymer systems. - Qiang Hu, Yuchen Liu, Yan Yan, Miao Liu, Jun Zheng, Douglas M. Blough:
Towards the Maximum Traffic Demand and Throughput Supported by Relay-Assisted mmWave Backhaul Networks. - Oren Katzir, Vicky Perepelook, Dani Lischinski, Daniel Cohen-Or:
Multi-level Latent Space Structuring for Generative Control. - Anil Yesilkaya, Harald Haas:
Channel Modelling and Error Performance Investigation for Reading Lights Based In-flight LiFi. - Xi Chen, Yuhao Li:
Improved Upper Bounds for Finding Tarski Fixed Points. - Delaram Kahrobaei, Ramón Flores, Marialaura Noce:
Group-based Cryptography in the Quantum Era. - Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang:
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness. - Roy Velich, Ron Kimmel:
Deep Signatures - Learning Invariants of Planar Curves. - Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos:
Compute Trends Across Three Eras of Machine Learning. - Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett:
Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data. - Guilherme B. Souza, Roberto Gonçalves Pacheco, Rodrigo S. Couto:
Improving Image-recognition Edge Caches with a Generative Adversarial Network. - Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran:
Detecting out-of-context objects using contextual cues. - Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han:
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. - Corentin Ferry, Tomofumi Yuki, Steven Derrien, Sanjay V. Rajopadhye:
Increasing FPGA Accelerators Memory Bandwidth with a Burst-Friendly Memory Layout. - Pierre Bourhis, Laurence Duchien, Jérémie Dusart, Emmanuel Lonca, Pierre Marquis, Clément Quinton:
Pseudo Polynomial-Time Top-k Algorithms for d-DNNF Circuits. - Zhengxu Xia, Yajie Zhou, Francis Y. Yan, Junchen Jiang:
Automatic Curriculum Generation for Learning Adaptation in Networking. - (Withdrawn) Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection.
- Carl Edwards, Heng Ji:
Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention. - Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning. - Pascal Giorgi, Bruno Grenet, Armelle Perret du Cray, Daniel S. Roche:
Random primes in arithmetic progressions. - Jim Davis:
Confident AI. - Koundinya Vajjha, Barry M. Trager, Avraham Shinnar, Vasily Pestun:
Formalization of a Stochastic Approximation Theorem. - Haotian Li, Yong Wang, Aoyu Wu, Huan Wei, Huamin Qu:
Structure-aware Visualization Retrieval. - Arda Senocak, Junsik Kim, Tae-Hyun Oh, Hyeonggon Ryu, Dingzeyu Li, In So Kweon:
Audio-Visual Fusion Layers for Event Type Aware Video Recognition. - Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith:
Private Adaptive Optimization with Side Information. - Christine Linda Cook, Jie Cai, Donghee Yvette Wohn:
Awe Versus Aww: The Effectiveness of Two Kinds of Positive Emotional Stimulation on Stress Reduction for Online Content Moderators. - Haonan Wang, Ang Li, Ya-Feng Liu, Qibo Qin, Lingyang Song, Yonghui Li:
Capacity Maximization Pattern Design for Reconfigurable MIMO Antenna Array. - Jing Yang Lee, Kong Aik Lee, Woon-Seng Gan:
Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents. - Xinyi Liu, Qi Xie, Qian Zhao, Hong Wang, Deyu Meng:
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment. - (Withdrawn) Robust Deep Semi-Supervised Learning: A Brief Introduction.
- Hangming Fan, Rui Wang, Yuchi Huo, Hujun Bao:
Real-time Monte Carlo Denoising with Weight Sharing Kernel Prediction Network. - Long Kong, Steven Kisseleff, Symeon Chatzinotas, Björn E. Ottersten, Melike Erol-Kantarci:
On the Impacts of Phase Shifting Design and Eavesdropping Uncertainty on Secrecy Metrics of RIS-aided Systems. - Hong Jin Kang, Khai Loong Aw, David Lo:
Detecting False Alarms from Automatic Static Analysis Tools: How Far are We? - Kailas Vodrahalli, Tobias Gerstenberg, James Zou:
Uncalibrated Models Can Improve Human-AI Collaboration. - Advait Kumar, Dipesh Tamboli, Shivam Pande, Biplab Banerjee:
RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework. - Arindam Khan, Aditya Lonkar, Arnab Maiti, Amatya Sharma, Andreas Wiese:
Tight Approximation Algorithms for Two Dimensional Guillotine Strip Packing. - Xuankun Liao, Qing Liu, Jiaxin Jiang, Xin Huang, Jianliang Xu, Byron Choi:
Distributed D-core Decomposition over Large Directed Graphs. - Santosh Gondi:
Wav2Vec2.0 on the Edge: Performance Evaluation. - Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy, Anuj Karpatne, Wei-Cheng Lee, Anish Arora:
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation. - Reza Abdi, Terri S. Hogue:
Wildfires and Climate Change: What does social media tell us on linkages and public understanding? (Preliminary White Paper, February 11, 2022). - Zhilin Zhao, Longbing Cao, Yuan-Yu Wan:
Coupling Online-Offline Learning for Multi-distributional Data Streams. - Hangwei Qian, Tian Tian, Chunyan Miao:
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? - Xuan Zhao, Mingming Fan, Teng Han:
"I Don't Want People to Look At Me Differently": Designing User-Defined Above-the-Neck Gestures for People with Upper Body Motor Impairments. - Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. - J. Jon Ryu, Young-Han Kim:
An Information-Theoretic Proof of the Kac-Bernstein Theorem. - Khosro Pakmanesh, Mehdi Mojaradi:
Applying multi product lines to equity market software ecosystem. - Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He:
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. - Xianghao Zang, Ge Li, Wei Gao:
Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval. - Mieczyslaw A. Klopotek, Robert A. Klopotek:
Towards Continuous Consistency Axiom. - Abasi-Amefon Obot Affia, Alexander Nolte, Raimundas Matulevicius:
Integrating Hackathons into an Online Cybersecurity Course. - Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon:
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. - Cristian Botezatu, Mathias Ibsen, Christian Rathgeb, Christoph Busch:
Fun Selfie Filters in Face Recognition: Impact Assessment and Removal. - Tianying Wang, En Yen Puang, Marcus Lee, Yan Wu, Wei Jing:
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation. - Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu:
OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression. - Anastasiia Birillo, Elena Lyulina, Maria Malysheva, Vladislav Tankov, Timofey Bryksin:
Reflekt: a Library for Compile-Time Reflection in Kotlin. - Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Deep Performer: Score-to-Audio Music Performance Synthesis. - Luca Viano, Johanni Brea:
Neural NID Rules. - Zaid Saeed Khan, Weili He, Mónica Menéndez:
Application of Modular Vehicle Technology to Mitigate Bus Bunching. - Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. - Oriol Domingo, Marta R. Costa-jussà, Carlos Escolano:
A multi-task semi-supervised framework for Text2Graph & Graph2Text. - Zhen Li, Guenevere Chen, Chen Chen, Yayi Zou, Shouhuai Xu:
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation. - Haokun Li, Bican Xia, Tianqi Zhao:
Square-free Strong Triangular Decomposition of Zero-dimensional Polynomial Systems. - Bolaji Yusuf, Ankur Gandhe, Alex Sokolov:
USTED: Improving ASR with a Unified Speech and Text Encoder-Decoder. - Ziye Jia, Qihui Wu, Chao Dong, Chau Yuen, Zhu Han:
Hierarchical Aerial Computing for Internet of Things via Cooperation of HAPs and UAVs. - Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. - M. A. P. Chamikara, Dongxi Liu, Seyit Camtepe, Surya Nepal, Marthie Grobler, Peter Bertók, Ibrahim Khalil:
Local Differential Privacy for Federated Learning in Industrial Settings. - Jing Xu, Jiaye Teng, Andrew Chi-Chih Yao:
Relaxing the Feature Covariance Assumption: Time-Variant Bounds for Benign Overfitting in Linear Regression. - Geesara Kulathunga, Hany Hamed, Dmitry Devitt, Alexandr Klimchik:
Optimization-based Trajectory Tracking Approach for Multi-rotor Aerial Vehicles in Unknown Environments. - Yukang Lu, Dingyao Min, Keren Fu, Qijun Zhao:
Depth-Cooperated Trimodal Network for Video Salient Object Detection. - Jayson M. Victoriano, Jaime P. Pulumbarit, Luisito Lolong Lacatan, Richard Albert S. Salivio, Rica Louise A. Barawid:
Data Analysis of Bulacan State University Faculty Scientific Publication Based on Google Scholar using Web Data Scraping Technique. - Nicolas Bousquet, Laurent Feuilloley, Théo Pierron:
What can be certified compactly? - Jayson M. Victoriano, Manuel Luis C. Delos Santos, Albert A. Vinluan, Jennifer T. Carpio:
Predicting Pollution Level Using Random Forest: A Case Study of Marilao River in Bulacan Province, Philippines. - Harold R. Lucero, Jayson M. Victoriano, Jennifer T. Carpio, Paquito G. Fernando Jr.:
Assessment of E-Learning Readiness of Faculty Members and Students in the Government and Private Higher Education Institutions in the Philippines. - Yuda Chen, Meng Guo, Zhongkui Li:
Recursive Feasibility and Deadlock Resolution in MPC-based Multi-robot Trajectory Generation. - Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. - Zehranaz Canfes, M. Furkan Atasoy, Alara Dirik, Pinar Yanardag:
Text and Image Guided 3D Avatar Generation and Manipulation. - Oliver Tüselmann, Friedrich Müller, Fabian Wolf, Gernot A. Fink:
Recognition-free Question Answering on Handwritten Document Collections. - Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang:
Modeling User Behavior with Graph Convolution for Personalized Product Search. - Tomoya Murata, Taiji Suzuki:
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning. - Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu:
EREBA: Black-box Energy Testing of Adaptive Neural Networks. - Yukuan Jia, Ruiqing Mao, Yuxuan Sun, Sheng Zhou, Zhisheng Niu:
Online V2X Scheduling for Raw-Level Cooperative Perception. - Jiakai Zhang, Liao Wang, Xinhang Liu, Fuqiang Zhao, Minzhang Li, Haizhao Dai, Boyuan Zhang, Wei Yang, Lan Xu, Jingyi Yu:
NeuVV: Neural Volumetric Videos with Immersive Rendering and Editing. - Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. - Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, Luis Antônio Souza Júnior, Danilo Colombo, João Paulo Papa:
A Review of Deep Learning-based Approaches for Deepfake Content Detection. - Yajing Liu, Zhengya Sun, Wensheng Zhang:
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network. - Tim Alberdingk Thijm, Ryan Beckett, Aarti Gupta, David Walker:
Kirigami, the Verifiable Art of Network Cutting. - Meiyi Li, Javad Mohammadi, Soummya Kar:
A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading. - Sreejith Gopinath, Aspen Olmsted:
Mitigating the Effects of Ransomware Attacks on Healthcare Systems. - Benjamin Decardi-Nelson, Jinfeng Liu:
An efficient implementation of graph-based invariant set algorithm for constrained nonlinear dynamical systems. - Phuoc-Toan Huynh, Yanzhao Cao, Thi-Thao-Phuong Hoang:
Fast and accurate domain decomposition methods for reduced fracture models with nonconforming time grids. - Gustav Markkula, Mehmet Remzi Dogar:
How accurate models of human behavior are needed for human-robot interaction? For automated driving? - Shima Salar Hosseini, Mohammad Reza Javan, Ali Nazari:
Multicasting in NOMA-Based UAV Networks: Path Design and Throughput Maximization. - Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher:
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. - Yanchen Liu, Timo Schick, Hinrich Schütze:
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models. - Yiding Feng, Wei Tang, Haifeng Xu:
Online Bayesian Recommendation with No Regret. - Pengzhan Jin, Shuai Meng, Lu Lu:
MIONet: Learning multiple-input operators via tensor product. - Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. - Negin Nikafrooz, Zachary J. Fuge, Alexander Leonessa:
Grasp Control of a Cable-Driven Robotic Hand Using a PVDF Slip Detection Sensor. - Eitan-Hai Mashiah, Idan Attias, Yishay Mansour:
Stochastic Strategic Patient Buyers: Revenue maximization using posted prices. - Lina Gong, Gopi Krishnan Rajbahadur, Ahmed E. Hassan, Shujuan Jiang:
Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction. - Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan:
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering. - Andre Robert Flores Manrique, Rodrigo C. de Lamare:
Study of Robust Adaptive Power allocation for the Downlink of Multiple-Antenna Systems. - Anas Nadeem, Muhammad Usman Sarwar, Muhammad Zubair Malik:
Automatic Issue Classifier: A Transfer Learning Framework for Classifying Issue Reports. - Haipeng Luo, Mengxiao Zhang, Peng Zhao:
Adaptive Bandit Convex Optimization with Heterogeneous Curvature. - Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou:
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. - Lukasz Plociniczak, Mateusz Switala:
Numerical scheme for Erdélyi-Kober fractional diffusion equation using Galerkin-Hermite method. - Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan:
The Impact of Using Regression Models to Build Defect Classifiers. - Abdullah Khalili, Abdelhamid Bouchachia:
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost. - Manuel Palermo, Sara M. Cerqueira, João André, António Pereira, Cristina P. Santos:
Complete Inertial Pose Dataset: from raw measurements to pose with low-cost and high-end MARG sensors. - Mustafa Doga Dogan, Ahmad Taka, Michael Lu, Yunyi Zhu, Akshat Kumar, Aakar Gupta, Stefanie Mueller:
InfraredTags: Embedding Invisible AR Markers and Barcodes Using Low-Cost, Infrared-Based 3D Printing and Imaging Tools. - Bangzheng Li, Wenpeng Yin, Muhao Chen:
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference. - Azarakhsh Keipour, Maryam Bandari, Stefan Schaal:
Efficient Spatial Representation and Routing of Deformable One-Dimensional Objects for Manipulation. - Yadan Luo, Zijian Wang, Zhuoxiao Chen, Zi Huang, Mahsa Baktashmotlagh:
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation. - Shiqi Wei, Gus Xia:
Learning long-term music representations via hierarchical contextual constraints. - Gabriel Cavalheiro Ullmann, Cristiano Politowski, Yann-Gaël Guéhéneuc, Fábio Petrillo, João Eduardo Montandon:
Video Game Project Management Anti-patterns. - Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang:
On the Convergence of Clustered Federated Learning. - Yingkai Li, Aleksandrs Slivkins:
Incentivizing Participation in Clinical Trials. - Jianhang Zhu, Jie Gong:
Online Scheduling of Transmission and Processing for AoI Minimization with Edge Computing. - Saeid Tizpaz-Niari, Ashish Kumar, Gang Tan, Ashutosh Trivedi:
Fairness-aware Configuration of Machine Learning Libraries. - Christie A. Luzon, Luisito Lolong Lacatan, Harold Y. Bangalisan, Jayvee M. Osapdin:
Web-Based File Clustering and Indexing for Mindoro State University. - Chun Wang:
Lip movements information disentanglement for lip sync. - Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. - Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. - Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li:
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. - Chongjun Ouyang, Yuanwei Liu, Hongwen Yang:
Fundamental Performance of Integrated Sensing and Communications (ISAC) Systems. - Fang Wu, Nicolas Courty, Zhang Qiang, Jiyu Cui, Ziqing Li:
Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation. - Lunwei Zhang, Yue Wang, Yao Jiang:
Tac3D: A Novel Vision-based Tactile Sensor for Measuring Forces Distribution and Estimating Friction Coefficient Distribution. - Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie:
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. - Kent Darryl Aglibar, Garret Christopher Alegre, Gerald Del Mundo, Kenny Francis Duro, Nelson Rodelas:
Ticketing System: A Descriptive Research on the Use of Ticketing System for Project Management and Issue Tracking in IT Companies. - Aneri Rana, Sonali Jha:
Emotion Based Hate Speech Detection using Multimodal Learning. - Kasra Darvishi, Newsha Shahbodagh, Zahra Abbasiantaeb, Saeedeh Momtazi:
PQuAD: A Persian Question Answering Dataset. - Mahmood Jasim, Christopher Collins, Ali Sarvghad, Narges Mahyar:
Supporting Serendipitous Discovery and Balanced Analysis of Unstructured Text with Interaction-Driven Metrics and Bias-Mitigating Suggestions. - Yu Yang, Jia Mao, Richard Nguyen, Annas Tohmeh, Hen-Geul Yeh:
Feature Construction and Selection for PV Solar Power Modeling. - Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Robust Deepfake On Unrestricted Media: Generation And Detection. - Ahmad Asgharian Rezaei, Justin Munoz, Mahdi Jalili, Hamid Khayyam:
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach. - Qinxun Bai, Steven Rosenberg, Wei Xu:
Understanding Natural Gradient in Sobolev Spaces. - Gal Vardi, Ohad Shamir, Nathan Srebro:
The Sample Complexity of One-Hidden-Layer Neural Networks. - Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. - Cemre Karakas, Alara Dirik, Eylul Yalcinkaya, Pinar Yanardag:
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations. - Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu:
Geometric Graph Representation Learning via Maximizing Rate Reduction. - Wai Tuck Wong, Andrew Butler, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha:
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility. - Mengxiao Liu, Yuejun Wei, Zhenyuan Chen, Wenyi Zhang:
ORBGRAND Is Almost Capacity-Achieving. - Lordjette Leigh M. Lecaros, Concepcion L. Khan:
A Tech Hybrid-Recommendation Engine and Personalized Notification: An integrated tool to assist users through Recommendations (Project ATHENA). - Hao Wang, Yu Bai, Guangmin Sun, Jie Liu:
Privacy protection based on mask template. - Hao Wang, Yu Bai, Jie Liu, Guangmin Sun, Yanjun Zhang, Jie Li:
Application of Color Block Code in Image Scaling. - Suleman Qamar, Saddam Hussain Khan, Muhammad Arif Arshad, Maryam Qamar, Asifullah Khan:
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles. - Rui Yan, Gabriel Santos, Gethin Norman, David Parker, Marta Kwiatkowska:
Strategy Synthesis for Zero-sum Neuro-symbolic Concurrent Stochastic Games. - Chaewon Park, Minhyeok Lee, MyeongAh Cho, Sangyoun Lee:
RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection. - Pengyue Jia, Ling Chen, Dandan Lyu:
Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model. - Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long:
Flowformer: Linearizing Transformers with Conservation Flows. - Di Wu, Qilong Feng, Jianxin Wang:
New Approximation Algorithms for Fair k-median Problem. - Jinraj V. Pushpangathan, Harikumar Kandath, Rajdeep Dutta, Rajarshi Bardhan, J. Senthilnath:
Robust Consensus of Higher-Order Multi-Agent Systems With Attrition and Inclusion of Agents and Switching Topologies. - Rajni Dabas, Neelima Gupta:
Locating Charging Stations: Connected, Capacitated and Prize- Collecting. - Xu Wang, Yi Jin, Yigang Cen, Tao Wang, Bowen Tang, Yidong Li:
LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling. - Christoph Benzmüller:
A Simplified Variant of Gödel's Ontological Argument. - Yufeng Wang, Dan Li, Cong Xu, Min Yang:
Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions. - Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao:
BViT: Broad Attention based Vision Transformer. - Katharina Götz, Patric Feldmeier, Gordon Fraser:
Model-based Testing of Scratch Programs. - Gang Chen, Wei Dong, Peng Peng, Javier Alonso-Mora, Xiangyang Zhu:
Continuous Occupancy Mapping in Dynamic Environments Using Particles. - Adina Deiner, Patric Feldmeier, Gordon Fraser, Sebastian Schweikl, Wengran Wang:
Automated Test Generation for Scratch Programs. - Tianli Liao, Nan Li:
Natural Image Stitching Using Depth Maps. - Henry Turner, Giulio Lovisotto, Simon Eberz, Ivan Martinovic:
I'm Hearing (Different) Voices: Anonymous Voices to Protect User Privacy. - Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. - Koen J. A. Scheres, Victor S. Dolk, Michelle S. Chong, Romain Postoyan, W. P. Maurice H. Heemels:
Distributed Periodic Event-triggered Control of Nonlinear Multi-Agent Systems. - Zhuoran Zheng, Xiuyi Jia, Yunliang Zhuang:
Zero-Reference Image Restoration for Under-Display Camera of UAV. - Teodoro Baldazzi, Luigi Bellomarini, Marco Favorito, Emanuel Sallinger:
On the Relationship between Shy and Warded Datalog+/-. - Bartolomeo Pantò, S. Grosman, Lorenzo Macorini, Bassam A. Izzuddin:
A macro modelling continuum approach with embedded discontinuities for the assessment of masonry arch bridges under earthquake loading. - Shichuan Deng, Jian Li, Yuval Rabani:
Generalized Unrelated Machine Scheduling Problem. - Mariya Bessonov, Ilia Ilmer, Tatiana Konstantinova, Alexey Ovchinnikov, Gleb Pogudin, Pedro Soto:
Obtaining weights for Gröbner basis computation in parameter identifiability problems. - Hailong Liu, Shota Inoue, Takahiro Wada:
Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles. - Jiayang Bai, Jie Guo, Chenchen Wang, Zhenyu Chen, Zhen He, Shan Yang, Piaopiao Yu, Yan Zhang, Yanwen Guo:
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction. - Shaoshi Chen:
Stability Problems in Symbolic Integration. - Debasis Ganguly, Suchana Datta, Mandar Mitra, Derek Greene:
An Analysis of Variations in the Effectiveness of Query Performance Prediction. - Mohammadreza Radmanesh, Hossein Ghorbanzadeh, Ahmad Asgharian Rezaei, Mahdi Jalili, Xinghuo Yu:
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network. - Bingxu Mu, Le Wang, Zhenxing Niu:
Adversarial Fine-tuning for Backdoor Defense: Connect Adversarial Examples to Triggered Samples. - Trinh Viet Doan, Vaibhav Bajpai, Yiannis Psaras, Jörg Ott:
Towards Decentralised Cloud Storage with IPFS: Opportunities, Challenges, and Future Directions. - Weiming Xiong, Ruoyu Yang:
Reverse Back Propagation to Make Full Use of Derivative. - Yuta Saito, Thorsten Joachims:
Off-Policy Evaluation for Large Action Spaces via Embeddings. - Hefu Ye, Yongduan Song:
Adaptive Control with Guaranteed Transient Behavior and Zero Steady-State Error for Systems with Time-Varying Parameters. - Bartolomeo Pantò, Corrado Chisari, Lorenzo Macorini, Bassam A. Izzuddin:
Hybrid continuum-discrete macro modelling of multi ring masonry arch bridges. - Huafei Zhu:
Highly Scalable Beaver Triple Generator from Additive-only Homomorphic Encryption. - Shutao Tang:
Optimal lofted B-spline surface interpolation based on serial closed contours. - Pui Ho Lam, Hing Cheung So:
On Generalisation of Isotropic Central Difference for Higher Order Approximation of Fractional Laplacian. - Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu:
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. - Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Learning to Rank from Relevance Judgments Distributions. - Chongtao Guo, Zhengchao Li, Le Liang, Geoffrey Ye Li:
Reinforcement Learning Based Power Control for Reliable Wireless Transmission. - Victor Yodaiken:
Understanding Paxos and other distributed consensus algorithms. - Flavio Rizzoglio:
Comparing Flexible Skylines And Top-k Queries: Which Is the Best Alternative? - Chongtao Guo, Bin Liao:
Power, Rate, and Decoding Order Optimization for NOMA-Based Vehicular Communications. - Arsalan Parham, Corinna Breitinger:
Non-fungible Tokens: Promise or Peril? - Leonardo Rosa Amado, Reuth Mirsky, Felipe Meneguzzi:
Goal Recognition as Reinforcement Learning. - Wanglong Lu, Hanli Zhao, Xianta Jiang, Xiaogang Jin, Min Wang, Jiankai Lyu, Kaijie Shi:
Diverse facial inpainting guided by exemplars. - James Petrie, M. Reza Hirmand, Katerina D. Papoulia:
Quasistatic cohesive fracture with an alternating direction method of multipliers. - Marc Miquel-Ribé:
Dark User Experience: From Manipulation to Deception. - Khac-Hoang Ngo, Alejandro Lancho, Giuseppe Durisi, Alexandre Graell i Amat:
Unsourced Multiple Access With Random User Activity. - Susanna E. Rumsey, Stark C. Draper, Frank R. Kschischang:
Information Density in Multi-Layer Resistive Memories. - Ruixue Lian, Che-Wei Huang, Yuqing Tang, Qilong Gu, Chengyuan Ma, Chenlei Guo:
Incremental user embedding modeling for personalized text classification. - Azarakhsh Keipour, Mohammad Eshghi, Sina Mohammadzadeh Ghadikolaei, Negin Mohammadi, Shahab Ensafi:
Omnifont Persian OCR System Using Primitives. - Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua:
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs OneCycleLR. - Koko Nanah Ji:
Exactly Optimal Deterministic Radio Broadcasting with Collision Detection. - Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma:
Neural Network Trojans Analysis and Mitigation from the Input Domain. - Yuan Shi, Saied Mahdian, Jose H. Blanchet, Peter W. Glynn, Andrew Young Shin, David Scheinker:
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data. - Conor McMenamin, Vanesa Daza, Matthias Fitzi:
FairTraDEX: A Decentralised Exchange Preventing Value Extraction. - Dan Qiao, Ming Yin, Ming Min, Yu-Xiang Wang:
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost. - Maor Ivgi, Yair Carmon, Jonathan Berant:
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments. - Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri:
Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks. - Hrushikesh N. Mhaskar:
Local approximation of operators. - Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X. Zhang, Michael S. Bernstein:
Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries. - Ha-Thanh Nguyen, Minh Phuong Nguyen, Thi-Hai-Yen Vuong, Minh-Quan Bui, Chau Minh Nguyen, Tran Binh Dang, Vu Tran, Minh Le Nguyen, Ken Satoh:
Transformer-based Approaches for Legal Text Processing. - Yang Chen, Libo Zhang, Jiamou Liu, Shuyue Hu:
Individual-Level Inverse Reinforcement Learning for Mean Field Games. - Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou:
Visual Sound Localization in the Wild by Cross-Modal Interference Erasing. - En Yen Puang, Hao Zhang, Hongyuan Zhu, Wei Jing:
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model. - Zhilin Wang, Qiao Kang, Xinyi Zhang, Qin Hu:
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey. - Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier:
A Contrastive Framework for Neural Text Generation. - Evangelos F. Magirou, Paraskevas Vassalos, Nikolaos Barakitis:
On a Boundary Updating Method for the Scalar Stefan Problem. - Muhammad Bilal Ibrahim, Saeed-Ul Hassan:
Exploring the Research Landscape of Pakistan: A Data-driven Analysis of Scopus Indexed Scientific Literature. - Matthew Michel, Hyunyoung Lee:
Energy Conscious Dynamic Window Scheduling of Chip Multiprocessors. - Oleg Davydov, Dang Thi Oanh, Ngo Manh Tuong:
Improved Stencil Selection for Meshless Finite Difference Methods in 3D. - Alperen Ali Ergür, Josué Tonelli-Cueto, Elias P. Tsigaridas:
A Near-Optimal Expected Boolean Complexity Bound for Descartes Solver. - Josef B. Spjut, Ben Boudaoud, Kamran Binaee, Zander Majercik, Morgan McGuire, Joohwan Kim:
FirstPersonScience: Quantifying Psychophysics for First Person Shooter Tasks. - Sergio Cuzzucoli:
Giving the Right Answer: a Brief Overview on How to Extend Ranking and Skyline Queries. - Julio L. Paneque, José Ramiro Martinez de Dios, Aníbal Ollero, Drew Hanover, Sihao Sun, Angel Romero, Davide Scaramuzza:
Perception-Aware Perching on Powerlines with Multirotors. - Abderrahime Filali, Zoubeir Mlika, Soumaya Cherkaoui, Abdellatif Kobbane:
Dynamic SDN-based Radio Access Network Slicing with Deep Reinforcement Learning for URLLC and eMBB Services. - Ehsan Amid, Rohan Anil, Wojciech Kotlowski, Manfred K. Warmuth:
Learning from Randomly Initialized Neural Network Features. - Abderrahime Filali, Boubakr Nour, Soumaya Cherkaoui, Abdellatif Kobbane:
Communication and Computation O-RAN Resource Slicing for URLLC Services Using Deep Reinforcement Learning. - Jingqiu Ding, Tommaso d'Orsi, Chih-Hung Liu, Stefan Tiegel, David Steurer:
Fast algorithm for overcomplete order-3 tensor decomposition. - Karl Kurzer, Matthias Bitzer, J. Marius Zöllner:
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search. - Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu:
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. - Nariman Torkzaban, Mohammad Amir Khojastepour, John S. Baras:
Multi-user Beam Alignment in Presence of Multi-path. - Alan Yang, Jie Xiong, Maxim Raginsky, Elyse Rosenbaum:
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits. - Srivathsan G. Morkonda, AbdelRahman Abdou:
Work in progress: Identifying Two-Factor Authentication Support in Banking Sites. - (Withdrawn) Simultaneous Transport Evolution for Minimax Equilibria on Measures.
- Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation. - Xu Chen, Yongfeng Zhang, Ji-Rong Wen:
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation. - Donghao Li, Yang Cao, Yuan Yao:
Optimizing Random Mixup with Gaussian Differential Privacy. - Yanqing Shen, Ruotong Wang, Weiliang Zuo, Nanning Zheng:
Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition. - Wanting Yang, Zi Qin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xianbin Cao, Khaled B. Letaief:
Semantic Communication Meets Edge Intelligence. - Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng:
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. - Debasish Chakroborti:
Gain-loss ratio of storing intermediate data from workflows. - Md. Rafiqul Islam Rabin:
Extracting Label-specific Key Input Features for Neural Code Intelligence Models. - Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Xingsheng Zhang, Yajing Sun:
Modeling Intention, Emotion and External World in Dialogue Systems. - Yicun Duan, Junyu Liu, Wangkai Jin, Xiangjun Peng:
Characterizing Differentially-Private Techniques in the Era of Internet-of-Vehicles. - Ahmed Ibrahim, Rokaya Hassanien:
Homogenous and Heterogenous Parallel Clustering: An Overview. - Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan:
A Survey on Machine Learning Approaches for Modelling Intuitive Physics. - Qianqian Song:
Splitting numerical integration for matrix completion. - Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu:
BiFSMN: Binary Neural Network for Keyword Spotting. - Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Winston H. Hsu:
ADeADA: Adaptive Density-aware Active Domain Adaptation for Semantic Segmentation. - Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang:
Finding Dynamics Preserving Adversarial Winning Tickets. - Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. - Hyunsu Mun, Youngseok Lee:
FLHub: a Federated Learning model sharing service. - Wangkai Jin, Yicun Duan, Junyu Liu, Shuchang Huang, Zeyu Xiong, Xiangjun Peng:
BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs. - Junyu Liu, Wangkai Jin, Zhenyong He, Xiaoxing Ming, Yicun Duan, Zeyu Xiong, Xiangjun Peng:
HUT: Enabling High-UTility, Batched Queries under Differential Privacy Protection for Internet-of-Vehicles. - Fei Gao, Yan Zhang, Jiang Zhang:
NEDMP: Neural Enhanced Dynamic Message Passing. - Jun Seo, Young-Hyun Park, Sung Whan Yoon, Jaekyun Moon:
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation. - Gil I. Shamir, Dong Lin:
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations. - Congqi Cao, Xin Zhang, Shizhou Zhang, Peng Wang, Yanning Zhang:
Adaptive graph convolutional networks for weakly supervised anomaly detection in videos. - Huiping Zhuang, Zhiping Lin, Yimin Yang, Kar-Ann Toh:
Analytic Learning of Convolutional Neural Network For Pattern Recognition. - Rushuang Zhou, Zhiguo Zhang, Xin Yang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Yining Dong, Fali Li, Zhen Liang:
A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition. - Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs. - Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu:
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. - Taeyong Song, Sunok Kim, SungTai Kim, Jaeseok Lee, Kwanghoon Sohn:
Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection. - Weijie Liu, Tao Zhu, Weiquan Mao, Zhe Zhao, Weigang Guo, Xuefeng Yang, Qi Ju:
Semantic Matching from Different Perspectives. - Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu:
Source Code Summarization with Structural Relative Position Guided Transformer. - Weixin Liang, James Zou:
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts. - Yuan Cao, Zixiang Chen, Mikhail Belkin, Quanquan Gu:
Benign Overfitting in Two-layer Convolutional Neural Networks. - Renwang Li, Bei Guo, Meixia Tao, Ya-Feng Liu, Wei Yu:
Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-aided mmWave MIMO Systems. - Yibo Yang, Stephan Mandt, Lucas Theis:
An Introduction to Neural Data Compression. - Dan Su, Peng Xu, Pascale Fung:
QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation. - Nikhil Kandpal, Eric Wallace, Colin Raffel:
Deduplicating Training Data Mitigates Privacy Risks in Language Models. - Aleksei Pupyshev, Ilya Sapranidi, Shamil Khalilov:
Pathway: a protocol for algorithmic pricing of a DAO governance token. - Victor Magron, Mohab Safey El Din, Markus Schweighofer, Trung Hieu Vu:
Exact SOHS decompositions of trigonometric univariate polynomials with Gaussian coefficients. - Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli:
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. - Florian Frank, Stefan Milius, Henning Urbat:
Coalgebraic Semantics for Nominal Automata. - Arttu Lämsä, Jaakko Tervonen, Jussi Liikka, Constantino Álvarez Casado, Miguel Bordallo López:
Video2IMU: Realistic IMU features and signals from videos. - Paul Staat, Kai Jansen, Christian T. Zenger, Harald Elders-Boll, Christof Paar:
Analog Physical-Layer Relay Attacks with Application to Bluetooth and Phase-Based Ranging. - Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar:
Reinforcement Learning in Presence of Discrete Markovian Context Evolution. - Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar:
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. - Philipp Straubinger, Gordon Fraser:
Gamekins: Gamifying Software Testing in Jenkins. - Franyell Silfa, José-María Arnau, Antonio González:
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme. - Renwang Li, Shu Sun, Yuhang Chen, Chong Han, Meixia Tao:
RIS-assisted Millimeter-Wave MIMO Communication Systems: Ergodic Capacity Analysis and Optimization. - Beihang Song, Jing Li, Shan Xue, Jun Chang, Jia Wu, Jun Wan, Tianpeng Liu:
Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap. - Cong Wang, Jinshan Pan, Xiao-Ming Wu:
Online-updated High-order Collaborative Networks for Single Image Deraining. - Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniParser: A Unified Log Parser for Heterogeneous Log Data. - Kenshi Abe, Junpei Komiyama, Atsushi Iwasaki:
Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search. - Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma:
I-Tuning: Tuning Language Models with Image for Caption Generation. - Yufan Zeng, Jiashan Tang:
Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection. - Virendra Sule:
Local inversion of maps: A new attack on Symmetric encryption, RSA and ECDLP. - Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu:
Conditional Generation Net for Medication Recommendation. - Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. - Christina Chrysovalanti Fountoukidou, Maria Pittou:
A formal algebraic approach for the quantitative modeling of connectors in architectures. - Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang:
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. - Pietro Biondi, Stefano Bognanni, Giampaolo Bella:
Vulnerability Assessment and Penetration Testing on IP cameras. - Junjie Li, Hui Cao:
Research on Dual Channel News Headline Classification Based on ERNIE Pre-training Model. - Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang:
Neural Re-ranking in Multi-stage Recommender Systems: A Review. - Dimuthu D. K. Arachchige, Isuru S. Godage:
Hybrid Soft Robots Incorporating Soft and Stiff Elements. - Nico Weber, Christoph Thiem, Ulrich Konigorski:
UnScenE: Toward Unsupervised Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data. - Tommaso Cesari, Jonathan Pergoli, Michele Maestrini, Pierluigi Di Lizia:
An Application of Online Learning to Spacecraft Memory Dump Optimization. - Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida:
KNIFE: Kernelized-Neural Differential Entropy Estimation. - Liantao Li, Yang Yang:
Modeling Population Human Mobility with Dynamic Mode Decomposition. - Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao:
What is Next when Sequential Prediction Meets Implicitly Hard Interaction? - Franz Motzkus, Leander Weber, Sebastian Lapuschkin:
Measurably Stronger Explanation Reliability via Model Canonization. - Antonio Salis, Angelo Marguglio, Gabriele De Luca, Sergio Gusmeroli, Silvia Razzetti:
An Edge-Cloud based Reference Architecture to support cognitive solutions in the Process Industry. - Fabian Kuhn, Philipp Schneider:
Routing Schemes and Distance Oracles in the Hybrid Model. - Tommaso Sorgente, Silvia Biasotti, Michela Spagnuolo:
Polyhedron Kernel Computation Using a Geometric Approach. - Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang:
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. - Ziheng Wang, Justin A. Sirignano:
Continuous-time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equations. - Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson:
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. - Michal Wawrzoniak, Ingo Müller, Rodrigo Bruno, Ana Klimovic, Gustavo Alonso:
Short-lived Datacenter. - Zhensu Sun, Li Li, Yan Liu, Xiaoning Du, Li Li:
On the Importance of Building High-quality Training Datasets for Neural Code Search. - Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? - Rolf Hoffmann:
Forming Point Patterns by a Probabilistic Cellular Automata Rule. - Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein:
The Impact of Batch Learning in Stochastic Linear Bandits. - Hao Guo, Jiyong Jin, Bin Liu:
PFGE: Parsimonious Fast Geometric Ensembling of DNNs. - Thomas Archbold, Bart de Keijzer, Carmine Ventre:
Non-Obvious Manipulability for Single-Parameter Agents and Bilateral Trade. - Yao-Hung Hubert Tsai, Tianqin Li, Weixin Liu, Peiyuan Liao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Weakly-Supervised Contrastive Representations. - Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm:
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. - Zhongxia Zhang, Mingwen Wang:
Convolutional Neural Network with Convolutional Block Attention Module for Finger Vein Recognition. - Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang:
Learning to Ground Objects for Robot Task and Motion Planning. - Patrick Schramowski, Christopher Tauchmann, Kristian Kersting:
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? - Siyuan Liu, Ashutosh Trivedi, Xiang Yin, Majid Zamani:
Secure-by-Construction Synthesis of Cyber-Physical Systems. - Rosanna Campagna, Costanza Conti:
Reproduction Capabilities of Penalized Hyperbolic-polynomial Splines. - Manuel Bravo, Gregory V. Chockler, Alexey Gotsman:
Liveness and Latency of Byzantine State-Machine Replication. - Carlo H. Godoy Jr., Jerico C. Torayno, Audrey Rose Abbey C. Magtarayo, Mark Wilson J. Suarez, Armando Embile, Daven Christian O. Estopia:
Client Monitoring Software: A Monitoring Tool for Greatleaf Land Inc. - Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang:
Domain Adaptation via Prompt Learning. - Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu:
Geometric Transformer for Fast and Robust Point Cloud Registration. - Maliheh Izadi, Roberta Gismondi, Georgios Gousios:
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences. - Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych:
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers. - Louis-Henri Merino, Simone Colombo, Jeff Allen, Vero Estrada-Galiñanes, Bryan Ford:
TRIP: Trustless Coercion-Resistant In-Person Voter Registration. - Oded Naor, Idit Keidar:
On Payment Channels in Asynchronous Money Transfer Systems. - Aadirupa Saha, Pierre Gaillard:
Versatile Dueling Bandits: Best-of-both-World Analyses for Online Learning from Preferences. - Thien Duc Nguyen, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Ivan Visconti:
Digital Contact Tracing Solutions: Promises, Pitfalls and Challenges. - Mengying Xiao:
Superlinear convergence of Anderson accelerated Newton's method for solving stationary Navier-Stokes equations. - Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie:
UA-FedRec: Untargeted Attack on Federated News Recommendation. - Stefan Kratsch, Florian Nelles, Alexandre Simon:
On Triangle Counting Parameterized by Twin-Width. - Namuk Park, Songkuk Kim:
How Do Vision Transformers Work? - Danish Hudani, Muhammad Haseeb, Muhammad Taufiq, Muhammad Azmi Umer, Nandha Kumar Kandasamy:
A Data-Centric Approach to Generate Invariants for a Smart Grid Using Machine Learning. - Zhaoyang Qu, Xiaoyong Bo, Tong Yu, Yaowei Liu, Yunchang Dong, Zhongfeng Kan, Lei Wang, Yang Li:
Active and Passive Hybrid Detection Method for Power CPS False Data Injection Attacks with Improved AKF and GRU-CNN. - Diana A. Olejnik, Sunyi Wang, Julien Dupeyroux, Stein Stroobants, Matej Karásek, Christophe De Wagter, Guido de Croon:
An Experimental Study of Wind Resistance and Power Consumption in MAVs with a Low-Speed Multi-Fan Wind System. - Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling:
A Graph-based U-Net Model for Predicting Traffic in unseen Cities. - Josef B. Spjut, Fengyuan Zhu, Xiaolei Huang, Yichen Shou, Ben Boudaoud, Omer Shapira, Morgan McGuire:
Experimental Augmented Reality User Experience. - (Withdrawn) Graph-GAN: A spatial-temporal neural network for short-term passenger flow prediction in urban rail transit systems.
- Easwaran Raman, Xinliang David Li:
Learning Branch Probabilities in Compiler from Datacenter Workloads. - Solène Song, Malek Senoussi, Paul Escande, Paul Villoutreix:
Random walk informed community detection reveals heterogeneities in large networks. - Urmila Shrawankar, Mayuri Joshi:
Overhead Management in Multi-Core Environment. - Ravid Shwartz-Ziv:
Information Flow in Deep Neural Networks. - Maximilian Brunner, Livio Giacomini, Roland Siegwart, Marco Tognon:
Energy Tank-Based Policies for Robust Aerial Physical Interaction with Moving Objects. - Felicitas Hörmann, Hannes Bartz, Sven Puchinger:
Error-Erasure Decoding of Linearized Reed-Solomon Codes in the Sum-Rank Metric. - Linpeng Zhang, Benjamin Lucien Kaminski:
Quantitative Strongest Post. - Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu:
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework. - Ivan Karpukhin, Stanislav Dereka, Sergey Kolesnikov:
Probabilistic Embeddings Revisited. - John Björkman Nilsson:
Punctuation restoration in Swedish through fine-tuned KB-BERT. - Boya Zhang, Nona Naderi, Fernando Jaume-Santero, Douglas Teodoro:
DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion. - Weizhu Bao, Harald Garcke, Robert Nürnberg, Quan Zhao:
A structure-preserving finite element approximation of surface diffusion for curve networks and surface clusters. - Abir Chakraborty:
Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network. - Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal:
Multi-scale Attention Guided Pose Transfer. - Yujiang He, Zhixin Huang, Bernhard Sick:
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning. - (Withdrawn) Disentangle VAE for Molecular Generation.
- Taeahn Kwon, Minkyung Jeong, Eon-Suk Ko, Youngki Lee:
Captivate! Contextual Language Guidance for Parent-Child Interaction. - Mohammad Javad Salehi, Kari Hooli, Jari Hulkkonen, Antti Tölli:
Enhancing Next-Generation Extended Reality Applications with Coded Caching. - Seokju Cho, Sunghwan Hong, Seungryong Kim:
CATs++: Boosting Cost Aggregation with Convolutions and Transformers. - Junkyeong Choi, Hyucksung Kwon, Woongkyu Lee, Jungwook Choi, Jieun Lim:
Learning from distinctive candidates to optimize reduced-precision convolution program on tensor cores. - Shuncheng Jia, Ruichen Zuo, Tielin Zhang, Hongxing Liu, Bo Xu:
Motif-topology and Reward-learning improved Spiking Neural Network for Efficient Multi-sensory Integration. - H. Toprak Kesgin, Mehmet Fatih Amasyali:
Development and Comparison of Scoring Functions in Curriculum Learning. - Uma Girish, Justin Holmgren, Kunal Mittal, Ran Raz, Wei Zhan:
Parallel Repetition For All 3-Player Games Over Binary Alphabet. - Julia Chuzhoy, Zihan Tan:
A Subpolynomial Approximation Algorithm for Graph Crossing Number in Low-Degree Graphs. - Shangtong Zhang, Remi Tachet des Combes, Romain Laroche:
On the Chattering of SARSA with Linear Function Approximation. - Manuel Accettulli Huber, Adriana Correia, Sanjaye Ramgoolam, Mehrnoosh Sadrzadeh:
Permutation invariant matrix statistics and computational language tasks. - Virginie Do, Matthieu Hervouin, Jérôme Lang, Piotr Skowron:
Online Approval Committee Elections. - Amin Hosseininasab, Willem-Jan van Hoeve, André A. Ciré:
Memory Efficient Tries for Sequential Pattern Mining. - Nima T. Bazargani, Gautam Dasarathy, Lalitha Sankar, Oliver Kosut:
A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data. - Hans L. Bodlaender, Gunther Cornelissen, Marieke van der Wegen:
Problems hard for treewidth but easy for stable gonality. - Shuo Niu, Hugh S. Manon, Ava Bartolome, Nguyen Binh Ha, Keegan Veazey:
Close-up and Whispering: An Understanding of Multimodal and Parasocial Interactions in YouTube ASMR videos. - Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. - Danny Hermelin, Hendrik Molter, Dvir Shabtay:
Single Machine Weighted Number of Tardy Jobs Minimization With Small Weights. - Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual Learning from Demonstration of Robotic Skills. - Shimin Zhang, Ziteng Wang, Jiayao Sun, Yihui Fu, Biao Tian, Qiang Fu, Lei Xie:
Multi-Task Deep Residual Echo Suppression with Echo-aware Loss. - Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Yizhuo Li, Zuoyu Qiu, Liang Xu, Yue Xu, Haoshu Fang, Cewu Lu:
HAKE: A Knowledge Engine Foundation for Human Activity Understanding. - Tao Yu, Christopher De Sa:
HyLa: Hyperbolic Laplacian Features For Graph Learning. - Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski:
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization. - Xiao Ling, Rongjun Qin:
A Graph-Matching Approach for Cross-view Registration of Over-view 2 and Street-view based Point Clouds. - Pierre Marza, Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
An experimental study of the vision-bottleneck in VQA. - Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoya Zhang:
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis. - Anna Hedström, Leander Weber, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne:
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations. - Shangwei Guo, Chunlong Xie, Jiwei Li, Lingjuan Lyu, Tianwei Zhang:
Threats to Pre-trained Language Models: Survey and Taxonomy. - Petra Poklukar, Vladislav Polianskii, Anastasia Varava, Florian T. Pokorny, Danica Kragic:
Delaunay Component Analysis for Evaluation of Data Representations. - Davide Ancona, Pietro Barbieri, Elena Zucca:
Enhancing expressivity of checked corecursive streams (extended version). - Efrat Levy, Nadav Maman, Asaf Shabtai, Yuval Elovici:
AnoMili: Spoofing Prevention and Explainable Anomaly Detection for the 1553 Military Avionic Bus. - Ona de Gibert, Ksenia Kharitonova, Blanca Calvo Figueras, Jordi Armengol-Estapé, Maite Melero:
Sequence-to-Sequence Resources for Catalan. - Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman:
Visual Acoustic Matching. - Thomas Chen, Hui Lu, Teeramet Kunpittaya, Alan Luo:
A Review of zk-SNARKs. - Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, Amin Karbasi:
Black-Box Generalization. - Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth:
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation. - Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets. - Bruno Wassermann, David Ohana, Ronen Schaffer, Robert Shahla, Elliot K. Kolodner, Eran Raichstein, Michal Malka:
DeCorus: Hierarchical Multivariate Anomaly Detection at Cloud-Scale. - Jean-Luc Baril, Sergey Kirgizov, Rémi Maréchal, Vincent Vajnovszki:
Enumeration of Dyck paths with air pockets. - Márton Benedek, Péter Biró, Matthew Johnson, Daniël Paulusma, Xin Ye:
The Complexity of Matching Games: A Survey. - Todd Schmid, Wojciech Rozowski, Alexandra Silva, Jurriaan Rot:
Processes Parametrised by an Algebraic Theory. - Huaduo Wang, Farhad Shakerin, Gopal Gupta:
FOLD-RM: A Scalable and Efficient Inductive Learning Algorithm for Multi-Category Classification of Mixed Data. - Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. - Matus Telgarsky:
Stochastic linear optimization never overfits with quadratically-bounded losses on general data. - Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? - Tesshu Hanaka, Michael Lampis:
Hedonic Games and Treewidth Revisited. - Siobhan Duncan, Gissell Estrada-Rodriguez, Jakub Stocek, Mauro Dragone, Patrícia A. Vargas, Heiko Gimperlein:
Efficient quantitative assessment of robot swarms: coverage and targeting Lévy strategies. - Fatih Cagatay Akyon, Sinan Onur Altinuc, Alptekin Temizel:
Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection. - Sebastian Gehrmann, Elizabeth Clark, Thibault Sellam:
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text. - Euan A. Spence:
A simple proof that the hp-FEM does not suffer from the pollution effect for the constant-coefficient full-space Helmholtz equation. - Uday K. Chakraborty:
Stochastic models of Jaya and semi-steady-state Jaya algorithms. - Eduardo Benítez Sandoval, Diego Vazquez Rojas, Clarissa A. Parada Cereceres, Álvaro Anzueto-Ríos, Amit Barde, Mark Billinghurst:
Prototyping a Virtual Agent for Pre-school English Teaching. - Jian Cui, Bin Weng:
Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces. - Paul W. Goldberg, Jiawei Li:
Consensus Division in an Arbitrary Ratio. - Enrico Russo, Gabriele Costa, Giacomo Longo, Alessandro Armando, Alessio Merlo:
LiDiTE: a Full-Fledged and Featherweight Digital Twin Framework. - Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman:
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression. - Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss, Richard S. Zemel, John P. Cunningham:
Deep Ensembles Work, But Are They Necessary? - Jiasen Lu, Jordi Salvador, Roozbeh Mottaghi, Aniruddha Kembhavi:
ASC me to Do Anything: Multi-task Training for Embodied AI. - Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler:
Transformer Memory as a Differentiable Search Index. - Md. Rashedur Rahman, Elizabeth Miller, Moinul Hossain, Aisha I. Ali-Gombe:
Intent-Aware Permission Architecture: A Model for Rethinking Informed Consent for Android Apps. - Fred Lu, Francis Ferraro, Edward Raff:
Continuously Generalized Ordinal Regression for Linear and Deep Models. - Xi Jiang, Guoyang Xie, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
A Survey of Visual Sensory Anomaly Detection. - Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam:
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. - Johannes Flotzinger, Philipp Jonas Rösch, Norbert Oswald, Thomas Braml:
Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage Recognition. - Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang:
Robust Policy Learning over Multiple Uncertainty Sets. - Sravan Jayanthi, Letian Chen, Matthew C. Gombolay:
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration. - Niklas Kühl, Thomas Rung:
Discrete Adjoint Momentum-Weighted Interpolation Strategies. - Burak Han Demirbilek:
QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For Reinforcement Learning Algorithms. - Alexandre Cremers, Ethan Gotlieb Wilcox, Benjamin Spector:
Exhaustivity and anti-exhaustivity in the RSA framework: Testing the effect of prior beliefs. - Tanveer Hannan, Rajat Koner, Jonathan Kobold, Matthias Schubert:
Box Supervised Video Segmentation Proposal Network. - Adam Li, Chester Huynh:
Analysis of Neural Fragility: Bounding the Norm of a Rank-One Perturbation Matrix. - Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su:
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. - César Soto-Valero, Martin Monperrus, Benoit Baudry:
The Multi-Billion Dollar Software Supply Chain of Ethereum. - Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler:
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens. - Hui Zhao, Antonio Bazco Nogueras, Petros Elia:
Vector Coded Caching Multiplicatively Boosts the Throughput of Realistic Downlink Systems. - Stephen Ninan, Sivakumar Rathinam:
LIDAR data based Segmentation and Localization using Open Street Maps for Rural Roads. - Jema David Ndibwile:
Artificial Intelligence-Based Smart Grid Vulnerabilities and Potential Solutions for Fake-Normal Attacks: A Short Review. - Mark Tuddenham, Adam Prügel-Bennett, Jonathan Hare:
Orthogonalising gradients to speed up neural network optimisation. - Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. - Sergio F. Yapur:
Features of Linear Models that May Compromise Model-Based, Plant-Wide Control Techniques. The Case of the Tennessee Eastman Plant. - Alejandro Linares-Barranco, Enrique Piñero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro, Maryada, Chenxi Wu, Jingyue Zhao, Dmitrii Zendrikov, Giacomo Indiveri:
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm. - Maciej K. Wozniak, Samvel Mkhitaryan, Philippe J. Giabbanelli:
Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data. - Boling Yang, Golnaz Habibi, Patrick E. Lancaster, Byron Boots, Joshua R. Smith:
Motivating Physical Activity via Competitive Human-Robot Interaction. - Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. - Florinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu Tudor Ionescu:
Discriminability-enforcing loss to improve representation learning. - Boling Yang, Patrick E. Lancaster, Siddhartha S. Srinivasa, Joshua R. Smith:
Benchmarking Robot Manipulation with the Rubik's Cube. - Felipe González-Pizarro, Andrea Figueroa, Claudia López, Cecilia R. Aragon:
Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal. - Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu:
Graph Neural Networks for Graphs with Heterophily: A Survey. - Robert Axelrod:
How to De-Escalate a Cyber Conflict. - Chenkai Yu, Hongyao Ma, Adam Wierman:
Price Cycles in Ridesharing Platforms. - Yegor Tkachenko, Wassim Dhaouadi, Kamel Jedidi:
Scaling up Ranking under Constraints for Live Recommendations by Replacing Optimization with Prediction. - Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit:
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. - Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Scott A. Hale, Rada Mihalcea:
Matching Tweets With Applicable Fact-Checks Across Languages. - Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Learning to Discover Medicines. - Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Statistical Inference After Adaptive Sampling in Non-Markovian Environments. - Canwen Xu, Julian J. McAuley:
A Survey on Dynamic Neural Networks for Natural Language Processing. - Jascha Grübel:
The Hitchhiker's Guide to Fused Twins - A Conceptualization to Access Digital Twins in situ in Smart Cities. - Canwen Xu, Julian J. McAuley:
A Survey on Model Compression for Natural Language Processing. - Gianluca Brero, Nicolas Lepore, Eric Mibuari, David C. Parkes:
Learning to Mitigate AI Collusion on Economic Platforms. - Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang:
Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. - Pei Li, Lingyi Wang, Wei Wu, Fuhui Zhou, Baoyun Wang, Qihui Wu:
Graph Neural Network-Based Scheduling for Multi-UAV-Enabled Communications in D2D Networks. - Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu:
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. - Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun:
Transformers in Time Series: A Survey. - Genaro J. Martínez, Andrew Adamatzky, Ricardo Quezada Figueroa, Eric Schweikardt, Dmitry A. Zaitsev, Ivan Zelinka, Luz Noé Oliva-Moreno:
Computing with Modular Robots. - Jiayi Li, Yujiu Yang:
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation. - Hananel Hazan, Simon Caby, Christopher Earl, Hava T. Siegelmann, Michael Levin:
Memory via Temporal Delays in weightless Spiking Neural Network. - Chuqing Hu, Sinclair Hudson, Martin Ethier, Mohammad K. Al-Sharman, Derek Rayside, William Melek:
Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving. - Jinyang Yuan, Tonglin Chen, Bin Li, Xiangyang Xue:
Compositional Scene Representation Learning via Reconstruction: A Survey. - Baixu Chen, Junguang Jiang, Ximei Wang, Jianmin Wang, Mingsheng Long:
Debiased Pseudo Labeling in Self-Training. - Wanming Hao, Fuhui Zhou, Ming Zeng, Octavia A. Dobre, Naofal Al-Dhahir:
Ultra Wide Band THz IRS Communications: Applications, Challenges, Key Techniques, and Research Opportunities. - Kebing Jin, Hankz Hankui Zhuo:
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge. - Wanming Hao, Junjie Li, Gangcan Sun, Ming Zeng, Octavia A. Dobre:
Securing Reconfigurable Intelligent Surface-Aided Cell-Free Networks. - Jichao Li, Xiaosong Du, Joaquim R. R. A. Martins:
Machine Learning in Aerodynamic Shape Optimization. - Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu:
GAN-generated Faces Detection: A Survey and New Perspectives. - Philippe Laban, Elicia Ye, Srujay Korlakunta, John F. Canny, Marti A. Hearst:
NewsPod: Automatic and Interactive News Podcasts. - Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. - Taisuke Kobayashi:
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning. - Zhoujian Sun, Zhengxing Huang, Nai Ding:
On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools. - Santeri Kaupinmäki, Ben T. Cox, Simon Robert Arridge:
Phase-insensitive versus phase-sensitive ultrasound absorption tomography in the frequency domain. - Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment. - Dariusz R. Kowalski, Miguel A. Mosteiro:
Efficient Distributed Computations in Anonymous Dynamic Congested Systems with Opportunistic Connectivity. - Lei Yu, Tian Wu, Jiaqi Li, Patrick Chan, Hong Min, Fanjing Meng:
Documentation based Semantic-Aware Log Parsing. - Wenbin Zhang, Jeremy C. Weiss, Shuigeng Zhou, Toby Walsh:
Fairness Amidst Non-IID Graph Data: A Literature Review. - Christian Moya, Shiqi Zhang, Meng Yue, Guang Lin:
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories. - Son Tien Bui, Quan Khanh Luu, Dinh Quang Nguyen, Nhat Dinh Minh Le, Giuseppe Loianno, Van Anh Ho:
Tombo Propeller: Bio-Inspired Deformable Structure toward Collision-Accommodated Control for Drones. - Rui Hu, Yanmin Gong, Yuanxiong Guo:
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy. - Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu:
G-Mixup: Graph Data Augmentation for Graph Classification. - Jie Wang, Ghulam Mubashar Hassan, Naveed Akhtar:
A Survey of Neural Trojan Attacks and Defenses in Deep Learning. - Thao Nguyen, Maithra Raghu, Simon Kornblith:
On the Origins of the Block Structure Phenomenon in Neural Network Representations. - Marie Fortin, Boris Konev, Frank Wolter:
Interpolants and Explicit Definitions in Extensions of the Description Logic EL. - T. Dieu Linh Truong, Xuan Vuong Dang, Ngoc T. Dang:
Survivable Free Space Optical Mesh Network using High-Altitude Platforms. - Hideo Bannai, Tomohiro I, Dominik Köppl:
Longest (Sub-)Periodic Subsequence. - Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters. - Yejia Zhang, Jingjing Zhang, Xiaomin Zha, Yiru Zhou, Yunxia Cao, Danny Z. Chen:
Improving Human Sperm Head Morphology Classification with Unsupervised Anatomical Feature Distillation. - Hanwen Yao, Jinfeng Du, Alexander Vardy:
Polar Coded Modulation via Hybrid Bit Labeling. - Pin-Yu Chen, Sijia Liu:
Holistic Adversarial Robustness of Deep Learning Models. - Tomoki Ando, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata:
Collision-free Path Planning in the Latent Space through cGANs. - Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Reasoning. - Pradeep Singh, Upasana Buragohain, Nilanjan Senroy:
Time Domain Simulation of DFIG-Based Wind Power System using Differential Transform Method. - Daniel Locke, Guido Zuccon:
Case law retrieval: problems, methods, challenges and evaluations in the last 20 years. - Byeongjun Park, Jeongsoo Kim, Seungju Cho, Heeseon Kim, Changick Kim:
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition. - Walter Heymans, Marelie H. Davel, Charl Johannes van Heerden:
Multi-style Training for South African Call Centre Audio. - Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu:
Navigating Local Minima in Quantized Spiking Neural Networks. - Trung Q. Tran, Cuong C. Than, Hai T. Nguyen:
MeshLeTemp: Leveraging the Learnable Vertex-Vertex Relationship to Generalize Human Pose and Mesh Reconstruction for In-the-Wild Scenes. - Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang:
Geometrically Equivariant Graph Neural Networks: A Survey. - Wei Ao, Shunyi Zheng, Yan Meng:
Few-shot semantic segmentation via mask aggregation. - Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
Eliciting Best Practices for Collaboration with Computational Notebooks. - Aaditya V. Rangan:
Radial-recombination for rigid rotational alignment of images and volumes. - Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. - Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter:
Neural Architecture Search for Dense Prediction Tasks in Computer Vision. - André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer:
Explaining Reject Options of Learning Vector Quantization Classifiers. - Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao M. J. Wang, Hugo Chen, Tamara L. Berg, Ning Zhang:
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. - Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. - Meng Zhou, Xin Li, Yue Jiang, Lidong Bing:
Enhancing Cross-lingual Prompting with Mask Token Augmentation. - Rui Liu, Han Yu:
Federated Graph Neural Networks: Overview, Techniques and Challenges. - Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte:
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening. - Marco Micheletto, Giulia Orrù, Roberto Casula, David Yambay, Gian Luca Marcialis, Stephanie A. C. Schuckers:
Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021. - Jie Su, Zhenyu Wen, Tao Lin, Yu Guan:
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition. - Qianjiang Hu, Daizong Liu, Wei Hu:
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. - Massimo Battaglioni, Paolo Santini, Giulia Rafaiani, Franco Chiaraluce, Marco Baldi:
A data availability attack on a blockchain protocol based on LDPC codes. - Yaoyu Tao, Cedric Choi:
High-Throughput Split-Tree Architecture for Nonbinary SCL Polar Decoder. - Ilias Benjelloun, Bart Lamiroy, Efoevi Koudou:
Convolutional Network Fabric Pruning With Label Noise. - Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo:
Hyper-relationship Learning Network for Scene Graph Generation. - Zalán Borsos, Matthew Sharifi, Marco Tagliasacchi:
SpeechPainter: Text-conditioned Speech Inpainting. - Yaoyu Tao, Zhengya Zhang:
HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer. - Davide Rossi, Stefano Zacchiroli:
Worldwide Gender Differences in Public Code Contributions. - Sungdong Kim, Gangwoo Kim:
Saving Dense Retriever from Shortcut Dependency in Conversational Search. - An Wang, Ao Liu, Hieu Hanh Le, Haruo Yokota:
Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network. - Étienne Bamas, Marina Drygala, Ola Svensson:
A Simple LP-Based Approximation Algorithm for the Matching Augmentation Problem. - Yaoyu Tao, Shuanghong Sun, Zhengya Zhang:
Efficient Post-Processors for Improving Error-Correcting Performance of LDPC Codes. - Dan-Andrei Iliescu, Aliaksei Mikhailiuk, Damon Wischik, Rafal Mantiuk:
Disentangling Domain and Content. - Sangjin Lee, Hyeongmin Lee, Chajin Shin, Hanbin Son, Sangyoun Lee:
Beyond Natural Motion: Exploring Discontinuity for Video Frame Interpolation. - Kary Främling:
Contextual Importance and Utility: aTheoretical Foundation. - Yaoyu Tao, Qi Wu:
An Automated FPGA-based Framework for Rapid Prototyping of Nonbinary LDPC Codes. - Chris Kottmyer, Kevin Zhao, Zona Kostic, Aleksandar Jevremovic:
Roomsemble: Progressive web application for intuitive property search. - Haoyi You, Beichen Yu, Haiming Jin, Zhaoxing Yang, Jiahui Sun, Xinbing Wang:
User-Oriented Robust Reinforcement Learning. - Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf:
XAI for Transformers: Better Explanations through Conservative Propagation. - Kohei Uehara, Yusuke Mori, Yusuke Mukuta, Tatsuya Harada:
ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer. - Mu-Ruei Tseng, Abhishek Gupta, Chi-Keung Tang, Yu-Wing Tai:
HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment. - Eike Jens Hoffmann, Karam Abdulahhad, Xiao Xiang Zhu:
Using Social Media Images for Building Function Classification. - Vianney Perchet, Philippe Rigollet, Thibaut Le Gouic:
An algorithmic solution to the Blotto game using multi-marginal couplings. - Shuaifei Chen, Jiayi Zhang, Zheng Chen, Bo Ai:
Treating Interference as Noise in Cell-Free Massive MIMO Networks. - Huiyun Xia, Yijie Mao, Xiaokang Zhou, Bruno Clerckx, Shuai Han, Cheng Li:
Secure Beamforming Design for Rate-Splitting Multiple Access in Multi-antenna Broadcast Channel with Confidential Messages. - Daniel Gratzer, Michael Shulman, Jonathan Sterling:
The directed plump ordering. - Christoph Strössner, Daniel Kressner:
Low-rank tensor approximations for solving multi-marginal optimal transport problems. - Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Unreasonable Effectiveness of Last Hidden Layer Activations. - Yan Lyu, Hangxin Lu, Min Kyung Lee, Gerhard Schmitt, Brian Y. Lim:
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality. - Dominic Belcher, Antonia Marcu, Adam Prügel-Bennett:
Generalisation and the Risk-Entropy Curve. - Shaozhe Hao, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong:
A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification. - Eugene Kharitonov, Jade Copet, Kushal Lakhotia, Tu Anh Nguyen, Paden Tomasello, Ann Lee, Ali Elkahky, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux, Yossi Adi:
textless-lib: a Library for Textless Spoken Language Processing. - Abdul Rafey Aftab, Michael von der Beeck:
Multimodal Driver Referencing: A Comparison of Pointing to Objects Inside and Outside the Vehicle. - Simon Buus Jensen, Thomas B. Moeslund, Søren J. Andreasen:
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes. - G. Thomas Hudson, Noura Al Moubayed:
MuLD: The Multitask Long Document Benchmark. - Sebastiaan De Peuter, Samuel Kaski:
Zero-Shot Assistance in Novel Decision Problems. - Lei Li, Yongfeng Zhang, Li Chen:
Personalized Prompt Learning for Explainable Recommendation. - Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra:
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction. - Antonin Callard, Benjamin Hellouin de Menibus:
The aperiodic Domino problem in higher dimension. - Mathias Morbitzer, Benedikt Kopf, Philipp Zieris:
GuaranTEE: Introducing Control-Flow Attestation for Trusted Execution Environments. - Razan Abu-Labdeh, Scott P. MacLachlan, Patrick E. Farrell:
Monolithic multigrid for implicit Runge-Kutta discretizations of incompressible fluid flow. - Zdenek Prusa, Nicki Holighaus:
Phase Vocoder Done Right. - Flash Sheridan:
Practical Testing of a C99 Compiler Using Output Comparison. - Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, Mohsen Guizani:
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT. - Wenhao Xu, Nan Xie:
IEC61850 Sample-Value Service Based on Reduced Application Service Data Unit for Energy IOT. - Mario Amrein, Pascal Heid, Thomas P. Wihler:
A numerical energy minimisation approach for semilinear diffusion-reaction boundary value problems based on steady state iterations. - Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng:
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
A Lower Bounding Framework for Motion Planning amid Dynamic Obstacles in 2D. - Wen Zhang, Jiaoyan Chen, Juan Li, Zezhong Xu, Jeff Z. Pan, Huajun Chen:
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective. - Alexander V. Demin, Denis K. Ponomaryov:
Interpretable Reinforcement Learning with Multilevel Subgoal Discovery. - Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel:
NeuPL: Neural Population Learning. - Klara Nosan, Amaury Pouly, Mahsa Shirmohammadi, James Worrell:
The Membership Problem for Hypergeometric Sequences with Rational Parameters. - Matthew Edwards, Emma J. Williams, Claudia Peersman, Awais Rashid:
Characterising Cybercriminals: A Review. - Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Mete Ozay:
Adversarial Attacks and Defense Methods for Power Quality Recognition. - Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, H. Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, F. Fuso Nerini, Ricardo Vinuesa:
The potential of artificial intelligence for achieving healthy and sustainable societies. - Anna Khlyzova, Carina Silberer, Roman Klinger:
On the Complementarity of Images and Text for the Expression of Emotions in Social Media. - Rita Fioresi, J. Petkovic:
A precortical module for robust CNNs to light variations. - Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini, Masa Sweidan, Renjie Butalid:
State of AI Ethics Report (Volume 6, February 2022). - Yaping Zhao:
Mathematical Cookbook for Snapshot Compressive Imaging. - Christoph Glasmacher, Robert Krajewski, Lutz Eckstein:
An Automated Analysis Framework for Trajectory Datasets. - Sumer Kohli, Neelesh Ramachandran, Ana Tudor, Gloria Tumushabe, Olivia Hsu, Gireeja Ranade:
Inclusive Study Group Formation At Scale. - Mostafa Rezapour, Scott K. Elmshaeuser:
Artificial Intelligence-Based Analytics for Impacts of COVID-19 and Online Learning on College Students' Mental Health. - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
A Global Survey of Technological Resources and Datasets on COVID-19. - Virginia Dignum:
Relational Artificial Intelligence. - Mohammad Naiseh, Caitlin M. Bentley, Sarvapali D. Ramchurn:
Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design. - Satyaki Roy, Nirnay Ghosh, Nitish M. Uplavikar, Preetam Ghosh:
Towards a Unified Pandemic Management Architecture: Survey, Challenges and Future Directions. - Amir Belder, Gal Yefet, Ran Ben Izhak, Ayellet Tal:
Random Walks for Adversarial Meshes. - Asaf Tzachor, Catherine E. Richards, Scott Jeen:
Transforming agrifood production systems and supply chains with digital twins. - ChuMiao Li:
A Survey on Image Deblurring. - Amila Dautbasic, Senad Becirovic:
Teacher and Student Experiences in Online Classes During COVID-19 Pandemic in Serbia, Bosnia and Herzegovina and Croatia. - Zoltán Nagy, Juliana Felkner, Ariane L. Beck, D. Cale Reeves, Steven Richter, Vivek Shastry, Eli Ramthun, Edward Mbata, Stephen Zigmund, Benjamin Marshall, Linnea Marks, Vianey Rueda, Jasmine Triplett, Sarah Domedead, José R. Vázquez-Canteli, Varun Rai:
IMPACT: Integrated Multi-Domain Emission Pathways For Cities Under Land-Use Policy, Technology Adoption, Climate Change And Grid Decarbonization. - Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini:
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference. - Michael Saidani, Harrison M. Kim, Nawres Ayadhi, Bernard Yannou:
Can Online Customer Reviews Help Design More Sustainable Products? A Preliminary Study on Amazon Climate Pledge Friendly Products. - Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng:
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. - Bruno Grisci, Gabriela Kuhn, Felipe Colombelli, Vítor Kehl Matter, Leomar Lima, Karine Heinen, Mauricio Pegoraro, Marcio Borges, Sandro José Rigo, Jorge L. V. Barbosa, Rodrigo da Rosa Righi, Cristiano André da Costa, Gabriel de Oliveira Ramos:
Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization. - Ryan Francisco, Nelson Rodelas, John Edison Ubaldo:
The Perception of Filipinos on the Advent of Cryptocurrency and Non-Fungible Token (NFT) Games. - Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning. - Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo:
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. - Hikaru Asano:
Sequential Bayesian experimental designs via reinforcement learning. - Maurits J. R. Bleeker, Maarten de Rijke:
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval? - Ferda Ofli, Umair Qazi, Muhammad Imran, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence. - Myeonghun Lee, Kyoungmin Min:
MGCVAE: Multi-objective Inverse Design via Molecular Graph Conditional Variational Autoencoder. - Shristi Rajbamshi, Georg Tauböck, Péter Balázs, Nicki Holighaus:
Audio Inpainting via 𝓁1-Minimization and Dictionary Learning. - Tamajit Banerjee, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck, Sadegh Soudjani:
Fast Symbolic Algorithms for Omega-Regular Games under Strong Transition Fairness. - Jiachen Zhong, Junying Chen, Ajmal Mian:
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks. - Daniel Haider, Péter Balázs, Nicki Holighaus:
Phase-Based Signal Representations for Scattering. - Isa Vialard:
On the cartesian product of well-orderings. - Romain Laroche, Remi Tachet des Combes:
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. - Zdenek Prusa, Nicki Holighaus:
Non-iterative Filter Bank Phase (Re)Construction. - Manashi Chakraborty, Aritri Chakraborty, Prabir Kumar Biswas, Pabitra Mitra:
Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition. - Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xia Ben Hu:
BED: A Real-Time Object Detection System for Edge Devices. - Isuru Boyagane, Oshadha Katulanda, Surangika Ranathunga, Srinath Perera:
vue4logs - Automatic Structuring of Heterogeneous Computer System Logs. - Xavier Caruso, Tristan Vaccon, Thibaut Verron:
On Polynomial Ideals And Overconvergence In Tate Algebras. - Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang:
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. - Younghun Cho, Giseop Kim, Sangmin Lee, Jee-Hwan Ryu:
OpenStreetMap-based LiDAR Global Localization in Urban Environment without a Prior LiDAR Map. - Tobias Lorey, Paul Ralph, Michael Felderer:
Social Science Theories in Software Engineering Research. - Peng Hu, Jinhuan Zhang:
5G Enabled Fault Detection and Diagnostics: How Do We Achieve Efficiency? - Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang:
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization. - Peng Hu:
Closing the Management Gap for Satellite-Integrated Community Networks: A Hierarchical Approach to Self-Maintenance. - Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei:
Information-Theoretic Analysis of Minimax Excess Risk. - Haider Al Kim, Sven Puchinger, Ludo Tolhuizen, Antonia Wachter-Zeh:
Coding and Bounds for Partially Defective Memory Cells. - Ana-Maria Bucur, Adrian Cosma, Ioan-Bogdan Iordache:
BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer. - Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy:
Robust Multi-Objective Bayesian Optimization Under Input Noise. - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Fair Division of Indivisible Goods: A Survey. - Han Shao, Omar Montasser, Avrim Blum:
A Theory of PAC Learnability under Transformation Invariances. - Xuanxiang Huang, João Marques-Silva:
On Deciding Feature Membership in Explanations of SDD & Related Classifiers. - Sarah Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán:
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness. - Robin Winter, Marco Bertolini, Tuan Le, Frank Noé, Djork-Arné Clevert:
Unsupervised Learning of Group Invariant and Equivariant Representations. - Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan:
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning. - Aqib Rashid, Jose M. Such:
StratDef: a strategic defense against adversarial attacks in malware detection. - Rasoul Akhavan Mahdavi, Florian Kerschbaum:
Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators. - Thomas Stegmüller, Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. - Hao Li:
On Representation Learning with Feedback. - Zakaria Mhammedi, Alexander Rakhlin:
Damped Online Newton Step for Portfolio Selection. - Kevin Batz, Adrian Gallus, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Tobias Winkler:
Weighted Programming. - Eduardo Berrueta, Daniel Morató, Eduardo Magaña, Mikel Izal:
Crypto-ransomware detection using machine learning models in file-sharing network scenario with encrypted traffic. - Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules. - Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot:
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection. - Megan Doman, Jacob Motley, Hong Qin, Mengjun Xie, Li Yang:
Shifting Trends of COVID-19 Tweet Sentiment with Respect to Voting Preferences in the 2020 Election Year of the United States. - Shashank Joshi, Arhan Choudhury, Ojas Saraswat:
Enhancing Healthcare System Using Blockchain Smart Contracts. - Anthony Geglio, Eisa Hedayati, Mark Tascillo, Dyche Anderson, Jonathan Barker, Timothy C. Havens:
Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data. - Patrick Henning:
The dependency of spectral gaps on the convergence of the inverse iteration for a nonlinear eigenvector problem. - Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation for Active Monitoring of Air Pollution. - Giovanni Casini, Umberto Straccia:
A General Framework for Modelling Conditional Reasoning - Preliminary Report. - Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari:
Bayesian Imitation Learning for End-to-End Mobile Manipulation. - Héléna Shourick, Damien Tromeur-Dervout, Laurent Chedot:
Accelerating the convergence of Dynamic Iteration method with Restricted Additive Schwarz splitting for the solution of RLC circuits. - Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier:
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. - Tianyu Li, Ali Cevahir, Derek Cho, Hao Gong, DuyKhuong Nguyen, Björn Stenger:
UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision. - Luzia Knödler, Chadi Salmi, Hai Zhu, Bruno Brito, Javier Alonso-Mora:
Improving Pedestrian Prediction Models with Self-Supervised Continual Learning. - Maosheng Zhong, Gen Liu, Hongwei Li, Jiangling Kuang, Jinshan Zeng, Mingwen Wang:
CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information. - Ela Liberman-Pincu, Yisrael Parmet, Tal Oron-Gilad:
Judging a socially assistive robot (SAR) by its cover; The effect of body structure, outline, and color on users' perception. - Sha Li, Liyuan Liu, Yiqing Xie, Heng Ji, Jiawei Han:
PILED: An Identify-and-Localize Framework for Few-Shot Event Detection. - Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles:
Defending against Reconstruction Attacks with Rényi Differential Privacy. - Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett:
Random Feature Amplification: Feature Learning and Generalization in Neural Networks. - Sven Schewe, Qiyi Tang, Tansholpan Zhanabekova:
Deciding What is Good-for-MDPs. - Chen Liu, Jonas Pfeiffer, Anna Korhonen, Ivan Vulic, Iryna Gurevych:
Delving Deeper into Cross-lingual Visual Question Answering. - Silvia Terragni, Ismail Harrando, Pasquale Lisena, Raphaël Troncy, Elisabetta Fersini:
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization. - Le Xia, Yao Sun, Xiaoqian Li, Gang Feng, Muhammad Ali Imran:
Wireless Resource Management in Intelligent Semantic Communication Networks. - Andrea Colledan, Ugo Dal Lago:
On Dynamic Lifting and Effect Typing in Circuit Description Languages (Extended Version). - Shihao Xie, Giovanni Russo:
On the design of scalable networks to reject polynomial disturbances. - Johannes Brandstetter, Max Welling, Daniel E. Worrall:
Lie Point Symmetry Data Augmentation for Neural PDE Solvers. - Julian Hohm, Andreas Heinemann, Alexander Wiesmaier:
Towards a maturity model for crypto-agility assessment. - Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramèr, Chiyuan Zhang:
Quantifying Memorization Across Neural Language Models. - Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong:
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. - Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Conformal Prediction Sets with Limited False Positives. - Taman Narayan, Heinrich Jiang, Sen Zhao, Sanjiv Kumar:
Predicting on the Edge: Identifying Where a Larger Model Does Better. - Jannis Bulian, Christian Buck, Wojciech Gajewski, Benjamin Börschinger, Tal Schuster:
Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation. - Luca Clissa:
Survey of Big Data sizes in 2021. - Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards:
Better Together? An Evaluation of AI-Supported Code Translation. - Ioannis Vasileios Chremos, Andreas A. Malikopoulos:
The Design and Analysis of a Mobility Game. - Yuxiang Lu, Syed Ali Jafar:
On Single Server Private Information Retrieval with Private Coded Side Information. - Safras Iqbal, Peter Ball, Muhammad Hilmi Kamarudin, Andrew Bradley:
Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset. - (Withdrawn) Misinformation Detection in Social Media Video Posts.
- Elad Romanov, Tamir Bendory, Or Ordentlich:
On the Role of Channel Capacity in Learning Gaussian Mixture Models. - Itamar Cohen, Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Gabriel Scalosub, Erez Waisbard:
Parallel Virtual Machines Placement with Provable Guarantees. - Cristian-Paul Bara, Qing Ping, Abhinav Mathur, Govind Thattai, Rohith MV, Gaurav S. Sukhatme:
Privacy Preserving Visual Question Answering. - Guanrui Li, Alex Tunchez, Giuseppe Loianno:
Learning Model Predictive Control for Quadrotors. - Andrey Polyakov, Miroslav Krstic:
Finite- and Fixed-Time Nonovershooting Stabilizers and Safety Filters by Homogeneous Feedback. - Haimin Hu, Jaime F. Fisac:
Active Uncertainty Learning for Human-Robot Interaction: An Implicit Dual Control Approach. - Walter Lau Neto, Yingjie Li, Pierre-Emmanuel Gaillardon, Cunxi Yu:
End-to-end Automatic Logic Optimization Exploration via Domain-specific Multi-armed Bandit. - Jingjie Wu, Lei Zhou:
Control Co-design of Actively Controlled Lightweight Structures for High-acceleration Precision Motion Systems. - Mario Ahues, Filomena D. d'Almeida, R. Fernandes, Paulo B. Vasconcelos:
Two Numerical Approaches for Nonlinear Weakly Singular Integral Equations. - Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodeme, Thomas Serre:
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. - Encarnación Algaba, Andrea Prieto, Alejandro Saavedra-Nieves:
Rankings in the Zerkani network by a game theoretical approach. - Duolikun Danier, Fan Zhang, David Bull:
Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN. - Tauheed Khan Mohd, Nicole Nguyen, Ahmad Y. Javaid:
Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey. - Gabriel Maher, Stephen P. Boyd, Mykel John Kochenderfer, Cristian Matache, Alex Ulitsky, Slava Yukhymuk, Leonid Kopman:
A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer. - Huck Bennett, Chris Peikert:
Hardness of the (Approximate) Shortest Vector Problem: A Simple Proof via Reed-Solomon Codes. - Yunpeng Shi, Amit Singer:
Ab-initio Contrast Estimation and Denoising of Cryo-EM Images. - Mariam Guizani, Thomas Zimmermann, Anita Sarma, Denae Ford:
Attracting and Retaining OSS Contributors with a Maintainer Dashboard. - Seung Hyun Kim, Neale Van Stralen, Girish Chowdhary, Huy T. Tran:
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning. - Marco Lippi, Manfred Deistler, Brian D. O. Anderson:
High-dimensional dynamic factor models: a selective survey and lines of future research. - Nicholas Pellegrino, Paul W. Fieguth, Parsin Haji Reza:
Normalized K-Means for Noise-Insensitive Multi-Dimensional Feature Learning. - Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh:
Architecture Agnostic Federated Learning for Neural Networks. - Williams Rizzi, Marco Comuzzi, Chiara Di Francescomarino, Chiara Ghidini, Suhwan Lee, Fabrizio Maria Maggi, Alexander Nolte:
Explainable Predictive Process Monitoring: A User Evaluation. - Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao:
Further Collapses in TFNP. - Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel:
General-purpose, long-context autoregressive modeling with Perceiver AR. - Dilini Rajapaksha, Christoph Bergmeir:
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data. - Robert M. Corless, George Labahn, Dan Piponi, Leili Rafiee Sevyeri:
Bohemian Matrix Geometry. - Giovanni Interdonato, Stefano Buzzi:
The Promising Marriage of Mobile Edge Computing and Cell-Free Massive MIMO. - Georg Nawratil:
Generalizing continuous flexible Kokotsakis belts of the isogonal type. - Eleni Chiou, Eleftheria Panagiotaki, Iasonas Kokkinos:
Beyond Deterministic Translation for Unsupervised Domain Adaptation. - Nandan Kanvinde, Abhishek Gupta, Raunak Joshi:
Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method. - Deep Ganguli, Danny Hernandez, Liane Lovitt, Nova DasSarma, Tom Henighan, Andy Jones, Nicholas Joseph, Jackson Kernion, Benjamin Mann, Amanda Askell, Yuntao Bai, Anna Chen, Tom Conerly, Dawn Drain, Nelson Elhage, Sheer El Showk, Stanislav Fort, Zac Hatfield-Dodds, Scott Johnston, Shauna Kravec, Neel Nanda, Kamal Ndousse, Catherine Olsson, Daniela Amodei, Dario Amodei, Tom B. Brown, Jared Kaplan, Sam McCandlish, Chris Olah, Jack Clark:
Predictability and Surprise in Large Generative Models. - Shuhan Yuan, Xintao Wu:
Trustworthy Anomaly Detection: A Survey. - Garrett Thomas, Yuping Luo, Tengyu Ma:
Safe Reinforcement Learning by Imagining the Near Future. - Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
Speech Denoising in the Waveform Domain with Self-Attention. - Alena Fenogenova, Maria Tikhonova, Vladislav Mikhailov, Tatiana Shavrina, Anton A. Emelyanov, Denis Shevelev, Alexander Kukushkin, Valentin Malykh, Ekaterina Artemova:
Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models. - Md. Ferdous Pervej, Richeng Jin, Shih-Chun Lin, Huaiyu Dai:
Efficient Content Delivery in Cache-Enabled VEN with Deadline-Constrained Heterogeneous Demands: A User-Centric Approach. - Hisao Tamaki:
Heuristic computation of exact treewidth. - Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy:
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. - Hassan Asghar, Eun-Sung Jung:
A Survey on Scheduling Techniques in the Edge Cloud: Issues, Challenges and Future Directions. - Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie:
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations. - Zhiyan Chen, Burak Kantarci:
Generative Adversarial Network-Driven Detection of Adversarial Tasks in Mobile Crowdsensing. - Koki Washio, Yusuke Miyao:
Code Generation for Unknown Libraries via Reading API Documentations. - Sébastien M. R. Arnold, Pierre L'Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha:
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. - Aakash Kumar:
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars. - Matheus Machado dos Santos, Giovanni G. De Giacomo, Paulo L. J. Drews-Jr, Silvia S. C. Botelho:
Cross-view and Cross-domain Underwater Localization based on Optical Aerial and Acoustic Underwater Images. - Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Ming Liu, Lujia Wang:
RNGDet: Road Network Graph Detection by Transformer in Aerial Images. - Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves:
Reducing Overconfidence Predictions for Autonomous Driving Perception. - Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King:
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. - Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang:
Spatial Transformer K-Means. - Furkan Luleci, F. Necati Catbas, Onur Avci:
CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection. - Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia:
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. - Songlei Wang, Yifeng Zheng, Xiaohua Jia:
Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service. - Eugene Wu:
View Composition Algebra for Ad Hoc Comparison. - Wei-Chang Yeh:
Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems. - Bing Yang, Hong Liu, Xiaofei Li:
Learning Deep Direct-Path Relative Transfer Function for Binaural Sound Source Localization. - Pranav Kadam, Qingyang Zhou, Shan Liu, C.-C. Jay Kuo:
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation. - Reza Soltani, Uyen Trang Nguyen, Aijun An:
Data Capsule: A Self-Contained Data Model as an Access Policy Enforcement Strategy. - Xin Wang, Zhuo Lan, Yuang He, Yang Wang, Zhi-Gui Liu, Wen-Bo Xie:
Near-optimal Top-k Pattern Mining. - Shiya Luo, Defang Chen, Can Wang:
Deeply-Supervised Knowledge Distillation. - Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha, Bhargav S. Gulavani, Rimma Nehme, Amey Agrawal, Chen Chen, Nipun Kwatra, Ramachandran Ramjee, Pankaj Sharma, Atul Katiyar, Vipul Modi, Vaibhav Sharma, Abhishek Singh, Shreshth Singhal, Kaustubh Welankar, Lu Xun, Ravi Anupindi, Karthik Elangovan, Hasibur Rahman, Zhou Lin, Rahul Seetharaman, Cheng Xu, Eddie Ailijiang, Suresh Krishnappa, Mark Russinovich:
Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads. - Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood, Muhammad Ikram, Mohamed Ali Kâafar, Nicolas Kourtellis:
A deep dive into the consistently toxic 1% of Twitter. - Kun Wei, Yike Zhang, Sining Sun, Lei Xie, Long Ma:
Conversational Speech Recognition By Learning Conversation-level Characteristics. - Guanghui Qin, Yukun Feng, Benjamin Van Durme:
The NLP Task Effectiveness of Long-Range Transformers. - Enyan Dai, Jie Chen:
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series. - Thinh Hung Truong, Yulia Otmakhova, Rahmad Mahendra, Timothy Baldwin, Jey Han Lau, Trevor Cohn, Lawrence Cavedon, Damiano Spina, Karin Verspoor:
ITTC @ TREC 2021 Clinical Trials Track. - Bing Yang, Hong Liu, Xiaofei Li:
SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound Source Localization. - Guo-Hua Wang, Jianxin Wu:
Practical Network Acceleration with Tiny Sets. - Woo Seong Jo, Lu Liu, Dashun Wang:
See further upon the giants: Quantifying intellectual lineage in science. - Shuoguang Yang, Xudong Li, Guanghui Lan:
Data-Driven Minimax Optimization with Expectation Constraints. - Chi-Kai Ho, Chung-Ta King:
Selective Inverse Kinematics: A Novel Approach to Finding Multiple Solutions Fast for High-DoF Robotic. - Jayasree Saha, Jayanta Mukherjee:
IPD: An Incremental Prototype based DBSCAN for large-scale data with cluster representatives. - Qiang Hu, Yuchen Liu, Yan Yan, Miao Liu, Jun Zheng, Douglas M. Blough:
An efficient distributed scheduling algorithm for relay-assisted mmWave backhaul networks. - Mahdi Fahmideh, Jun Yan, Jun Shen, Aakash Ahmad, Davoud Mougouei, Anup Shrestha:
Knowledge Management for Cloud Computing Field. - Bryan Li, Lara J. Martin, Chris Callison-Burch:
CIS2: A Simplified Commonsense Inference Evaluation for Story Prose. - Laura Bozzelli, Angelo Montanari, Adriano Peron, Pietro Sala:
The addition of temporal neighborhood makes the logic of prefixes and sub-intervals EXPSPACE-complete. - Shehan Edirimannage, Mohamed Nabeel, Charith Elvitigala, Chamath Keppitiyagama:
PhishChain: A Decentralized and Transparent System to Blacklist Phishing URLs. - Wathsara Daluwatta, Ravindu De Silva, Sanduni Kariyawasam, Mohamed Nabeel, Charith Elvitigala, Kasun De Zoysa, Chamath Keppitiyagama:
CGraph: Graph Based Extensible Predictive Domain Threat Intelligence Platform. - Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos:
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic rich-scattering Environments. - Takaaki Nishimoto, Shunsuke Kanda, Yasuo Tabei:
An Optimal-Time RLBWT Construction in BWT-runs Bounded Space. - Edgar Minasyan, Paula Gradu, Max Simchowitz, Elad Hazan:
Online Control of Unknown Time-Varying Dynamical Systems. - Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li:
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications. - Yotaro Kubo, Shigeki Karita, Michiel Bacchiani:
Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers. - Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang:
Aryl: An Elastic Cluster Scheduler for Deep Learning. - Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Cross-Modal Common Representation Learning with Triplet Loss Functions. - Zhixian Chen, Tengfei Ma, Yang Wang:
When Does A Spectral Graph Neural Network Fail in Node Classification? - Taha Ameen, Suryanarayana Sankagiri, Bruce E. Hajek:
Blockchain Security when Messages are Lost. - Sijie Zhuo, Robert Biddle, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello:
SoK: Human-Centered Phishing Susceptibility. - Tao Wang, Ruibo Fu, Jiangyan Yi, Jianhua Tao, Zhengqi Wen:
Singing-Tacotron: Global duration control attention and dynamic filter for End-to-end singing voice synthesis. - Federico Clazzer, Alexandre Graell i Amat:
Error Floor Analysis of Irregular Repetition ALOHA. - Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson:
Can Deep Learning be Applied to Model-Based Multi-Object Tracking? - Heping Dong, Jun Lai, Peijun Li:
A spectral boundary integral method for the elastic obstacle scattering problem in three dimensions. - Henk D. L. Hollmann:
Non-standard linear recurring sequence subgroups and automorphisms of irreducible cyclic codes. - Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. - Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ZeroGen: Efficient Zero-shot Learning via Dataset Generation. - Chen-Lin Zhang, Jianxin Wu, Yin Li:
ActionFormer: Localizing Moments of Actions with Transformers. - Guochen Yu, Andong Li, Hui Wang, Yutian Wang, Yuxuan Ke, Chengshi Zheng:
DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement. - Klaus Jansen, Kai Kahler:
On the Complexity of Scheduling Problems With a Fixed Number of Identical Machines. - Hisayoshi Muramatsu:
Separation and Estimation of Periodic/Aperiodic State. - Qiyuan Wang, Zhihui Chen, Chenye Wu:
Clustering Enabled Few-Shot Load Forecasting. - Jihao Liu, Boxiao Liu, Hongsheng Li, Yu Liu:
Meta Knowledge Distillation. - Anton Yeshchenko, Jan Mendling:
A Survey of Approaches for Event Sequence Analysis and Visualization using the ESeVis Framework. - B. Wu, B. Liang, X. Zhang:
Turn Tree into Graph: Automatic Code Review via Simplified AST Driven Graph Convolutional Network. - Simone Ruffini, Luca Caronti, Kasim Sinan Yildirim, Davide Brunelli:
NORM: An FPGA-based Non-volatile Memory Emulation Framework for Intermittent Computing. - Robert-Jeron Reifert, Stefan Roth, Alaa Alameer Ahmad, Aydin Sezgin:
Energy Efficiency in Rate-Splitting Multiple Access with Mixed Criticality. - Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TimeREISE: Time-series Randomized Evolving Input Sample Explanation. - Hang Zhang, Su Yang, Hongyong Wang, Zhongyan Lu, Helin Sun:
Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment. - Tao Ge, Furu Wei:
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation. - Ziad Kobeissi, Francis R. Bach:
On a Variance Reduction Correction of the Temporal Difference for Policy Evaluation in the Stochastic Continuous Setting. - Nikhil Balaji, Klara Nosan, Mahsa Shirmohammadi, James Worrell:
Identity testing for radical expressions. - Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang:
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? - Manuel Kauers, Christoph Koutschan:
Guessing with Little Data. - Enric Gusó, Jordi Pons, Santiago Pascual, Joan Serrà:
On loss functions and evaluation metrics for music source separation. - Meghyn Bienvenu, Camille Bourgaux:
Querying Inconsistent Prioritized Data with ORBITS: Algorithms, Implementation, and Experiments. - Diana C. Hernandez-Bocanegra, Angela Borchert, Felix Brünker, Gautam Kishore Shahi, Björn Ross:
Towards a Better Understanding of Online Influence: Differences in Twitter CommunicationBetween Companies and Influencers. - Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu:
Out-Of-Distribution Generalization on Graphs: A Survey. - Shangting Li, Junming Duan, Huazhong Tang:
High-order accurate entropy stable adaptive moving mesh finite difference schemes for (multi-component) compressible Euler equations with the stiffened equation of state. - Vikram Gupta, Rini A. Sharon, Ramit Sawhney, Debdoot Mukherjee:
ADIMA: Abuse Detection In Multilingual Audio. - Ruo-Chun Tzeng, Po-An Wang, Florian Adriaens, Aristides Gionis, Chi-Jen Lu:
Improved analysis of randomized SVD for top-eigenvector approximation. - Simone Zini, Marco Buzzelli, Bartlomiej Twardowski, Joost van de Weijer:
Planckian jitter: enhancing the color quality of self-supervised visual representations. - Yogachandran Rahulamathavan:
Privacy-preserving Similarity Calculation of Speaker Features Using Fully Homomorphic Encryption. - Yihan Du, Wei Chen:
Branching Reinforcement Learning. - Herbert Egger, Vsevolod Shashkov:
On higher order passivity preserving schemes for nonlinear Maxwell's equations. - Haojie Shi, Max Q.-H. Meng:
Deep Koopman Operator with Control for Nonlinear Systems. - Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen:
Should You Mask 15% in Masked Language Modeling? - Bartlomiej Bosek, Anna Zych-Pawlewicz:
Recoloring Unit Interval Graphs with Logarithmic Recourse Budget. - Sam Coy, Artur Czumaj, Michael Feldmann, Kristian Hinnenthal, Fabian Kuhn, Christian Scheideler, Philipp Schneider, Martijn Struijs:
Near-Shortest Path Routing in Hybrid Communication Networks. - Qi Feng, Hubert P. H. Shum, Shigeo Morishima:
360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network. - Jingyan Zhou, Jiawen Deng, Fei Mi, Yitong Li, Yasheng Wang, Minlie Huang, Xin Jiang, Qun Liu, Helen Meng:
Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks. - Niklas Heidler:
Mechanization of LAGC Semantics in Isabelle. - Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen:
Data-Driven Control of Event- and Self-Triggered Discrete-Time Systems. - Ali Safa, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen:
Continuously Learning to Detect People on the Fly: A Bio-inspired Visual System for Drones. - Minghao Zhou, Quanziang Wang, Jun Shu, Qian Zhao, Deyu Meng:
Diagnosing Batch Normalization in Class Incremental Learning. - Cormac O'Malley, Luis Badesa, Fei Teng, Goran Strbac:
Frequency Response from Aggregated V2G Chargers With Uncertain EV Connections. - Weisong Sun, Chunrong Fang, Yuchen Chen, Guanhong Tao, Tingxu Han, Quanjun Zhang:
Code Search based on Context-aware Code Translation. - Wojciech Czerwinski, Piotr Hofman:
Language Inclusion for Boundedly-Ambiguous Vector Addition Systems is Decidable. - Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. - Thomas Davies:
A Review of Topological Data Analysis for Cybersecurity. - Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert:
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues? - Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. - Mehran Goli, Rolf Drechsler:
Simulation-based Verification of SystemC-based VPs at the ESL. - Shihan Dou, Rui Zheng, Ting Wu, Songyang Gao, Qi Zhang, Yueming Wu, Xuanjing Huang:
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. - Kenny Schlegel, Peer Neubert, Peter Protzel:
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. - Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng:
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. - Shumin Deng, Ningyu Zhang, Hui Chen, Feiyu Xiong, Jeff Z. Pan, Huajun Chen:
Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective. - Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury:
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. - Karl Bringmann, Alejandro Cassis, Nick Fischer, Vasileios Nakos:
Almost-Optimal Sublinear-Time Edit Distance in the Low Distance Regime. - Bjoern Andres, Silvia Di Gregorio, Jannik Irmai, Jan-Hendrik Lange:
A Polyhedral Study of Lifted Multicuts. - Pinar Tözün, Felix Naumann, Philippe Bonnet, Xin Luna Dong:
VLDB 2021: Designing a Hybrid Conference. - Florian Graf, Sebastian Zeng, Marc Niethammer, Roland Kwitt:
On Measuring Excess Capacity in Neural Networks. - Carlos A. Coello Coello, Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Modeling Strong Physically Unclonable Functions with Metaheuristics. - Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi, Adrian Perrig, Torsten Hoefler:
NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications. - Thierry Denoeux:
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models. - Tom Tirer, Joan Bruna:
Extended Unconstrained Features Model for Exploring Deep Neural Collapse. - Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt:
Latent Outlier Exposure for Anomaly Detection with Contaminated Data. - Miha Rot, Gregor Kosec:
Refined RBF-FD analysis of non-Newtonian natural convection. - Xinyu Xie, Yongpeng Wu, Jianping An, Junyuan Gao, Wenjun Zhang, Chengwen Xing, Kai-Kit Wong, Chengshan Xiao:
Massive Unsourced Random Access: Exploiting Angular Domain Sparsity. - Ioannis Caragiannis, Nidhi Rathi:
Optimizing over Serial Dictatorships. - Kai-Fu Yang, Cheng Cheng, Shixuan Zhao, Xian-Shi Zhang, Yong-Jie Li:
Learning to Adapt to Light. - John Hartley, Sotirios A. Tsaftaris:
Measuring Unintended Memorisation of Unique Private Features in Neural Networks. - Md Abdul Wahed, Hussain Nyeem:
Reversible data hiding with dual pixel-value-ordering and1minimum prediction error expansion. - Raffaele Mosca:
A note on hospital financing: local financing vs. central financing. - Jesus Malo:
Paraphrasing Magritte's Observation. - Pascal Giorgi, Bruno Grenet, Armelle Perret du Cray, Daniel S. Roche:
Sparse polynomial interpolation and division in soft-linear time. - Steven X. Ding, Linlin Li, Tianyu Liu:
An alternative paradigm of fault diagnosis in dynamic systems: orthogonal projection-based methods. - Nimish Magre, Nicholas Brown:
Typography-MNIST (TMNIST): an MNIST-Style Image Dataset to Categorize Glyphs and Font-Styles. - Lizhen Zhu, Brad Wyble, James Z. Wang:
Using Navigational Information to Learn Visual Representations. - Mayukh Bagchi:
Smart Cities, Smart Libraries and Smart Knowledge Managers: Ushering in the neo-Knowledge Society. - Xiangyu Peng, Michael Sollami:
XFBoost: Improving Text Generation with Controllable Decoders. - Nicolas Gutehrlé, Iana Atanassova:
Processing the structure of documents: Logical Layout Analysis of historical newspapers in French. - Merlin Carl, Hinrich Lorenzen, Michael Schmitz:
Natural Language Proof Checking in Introduction to Proof Classes - First Experiences with Diproche. 59-70 - Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal:
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. - Thiago Lamenza, Marcelo Paulon, Breno Perricone, Bruno Olivieri, Markus Endler:
GrADyS-SIM - A OMNET++/INET simulation framework for Internet of Flying things. - Peter Conway Humphreys, David Raposo, Toby Pohlen, Gregory Thornton, Rachita Chhaparia, Alistair Muldal, Josh Abramson, Petko Georgiev, Alex Goldin, Adam Santoro, Timothy P. Lillicrap:
A data-driven approach for learning to control computers. - Oana Ignat, Santiago Castro, Yuhang Zhou, Jiajun Bao, Dandan Shan, Rada Mihalcea:
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs. - Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation. - Frank Stapel, Floris Weers, Doina Bucur:
Bias in Automated Image Colorization: Metrics and Error Types. - Md. Mohi Uddin Khan, Abdullah Bin Shams, Md. Mohsin Sarker Raihan:
A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation. - Ojas Kishore Shirekar, Hadi Jamali Rad:
Self-Supervised Class-Cognizant Few-Shot Classification. - Taegyun Noh, Junil Choi:
Cell-Free MIMO Systems Powered by Intelligent Reflecting Surfaces. - U. H. D. Thinura Nethpiya Ariyaratne, V. Diyon Yasaswin Vitharana, L. H. Don Ranul Deelaka, H. M. Sumudu Maduranga Herath:
IoT Smart Plant Monitoring, Watering and Security System. - Kalika Prasad, Hrishikesh Mahato, Munesh Kumari:
A novel public key cryptography based on generalized Lucas matrices. - Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu:
Domain Adaptive Fake News Detection via Reinforcement Learning. - Eric Bonnetier, Angèle Niclas, Laurent Seppecher, Grégory Vial:
Small defects reconstruction in waveguides from multifrequency one-side scattering data. - Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews:
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. - Enrico Dandolo, Andrea Pietracaprina, Geppino Pucci:
Distributed k-Means with Outliers in General Metrics. - Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle, Fadel Adib, Hamed Haddadi:
Towards Battery-Free Machine Learning and Inference in Underwater Environments. - Vibhor Agarwal, Sagar Joglekar, Anthony P. Young, Nishanth Sastry:
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates. - Tiago Palma Pagano, Rafael Bessa Loureiro, Maira Matos Araujo, Fernanda Vitoria Nascimento Lisboa, Rodrigo Matos Peixoto, Guilherme Aragao de Sousa Guimaraes, Lucas Lisboa dos Santos, Gustavo Oliveira Ramos Cruz, Ewerton Lopes Silva de Oliveira, Marco Cruz, Ingrid Winkler, Erick Giovani Sperandio Nascimento:
Bias and unfairness in machine learning models: a systematic literature review. - Valeria Cardellini, Emiliano Casalicchio, Stefano Iannucci, Matteo Lucantonio, Sudip Mittal, Damodar Panigrahi, Andrea Silvi:
An Intrusion Response System utilizing Deep Q-Networks and System Partitions. - Murat Kuzlu, Ferhat Özgür Çatak, Umit Cali, Evren Çatak, Özgür Güler:
The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining. - Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu:
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. - Zitong Yu, Chenxu Zhao, Kevin H. M. Cheng, Xu Cheng, Guoying Zhao:
Flexible-Modal Face Anti-Spoofing: A Benchmark. - Kyriakos Stylianopoulos, George C. Alexandropoulos, Chongwen Huang, Chau Yuen, Mehdi Bennis, Mérouane Debbah:
Deep Contextual Bandits for Orchestrating Multi-User MISO Systems with Multiple RISs. - Burak Çakmak, Yue M. Lu, Manfred Opper:
Analysis of Random Sequential Message Passing Algorithms for Approximate Inference. - Zixun Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li:
Less is More: Surgical Phase Recognition from Timestamp Supervision. - Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction. - Philipp Krah, Steffen Büchholz, Matthias Häringer, Julius Reiss:
Front Transport Reduction for Complex Moving Fronts. - Fedor Part:
Resolution with Counting: Lower Bounds for Proofs of Membership in the Complement of a Linear Map Image of the Boolean Cube. - Zijian Ding, Jiawen Kang, Tinky Oi Ting Ho, Ka Ho Wong, Helene H. Fung, Helen Meng, Xiaojuan Ma:
TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening. - Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Djurasevic, Alberto Leporati:
Evolutionary Construction of Perfectly Balanced Boolean Functions. - Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu:
Ditto: Building Digital Twins of Articulated Objects from Interaction. - Sebastian Endres, Jörg Deutschmann, Kai-Steffen Hielscher, Reinhard German:
Performance of QUIC Implementations Over Geostationary Satellite Links. - Francesco Petrizzelli, Pietro Hiram Guzzi, Tommaso Mazza:
Beyond COVID-19 Pandemic: Topology-aware optimisation of vaccination strategy for minimising virus spreading. - Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. - Vibhor Agarwal, Nishanth Sastry:
"Way back then": A Data-driven View of 25+ years of Web Evolution. - Dylan McDermott, Alan Mycroft:
Galois connecting call-by-value and call-by-name. - Ioannis P. A. Papadopoulos, Patrick E. Farrell:
Preconditioners for computing multiple solutions in three-dimensional fluid topology optimization. - Mukund Telukunta, Venkata Sriram Siddhardh Nadendla:
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers. - Ece Isik-Polat, Gorkem Polat, Altan Koçyigit, Alptekin Temizel:
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation. - Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert:
XAI in the context of Predictive Process Monitoring: Too much to Reveal. - Robert Meier, Asier Mujika:
Open-Ended Reinforcement Learning with Neural Reward Functions. - Huiyuan Yang, Han Yu, Kusha Sridhar, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. - Amy Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. - Johannes Schneider:
The learning phases in NN: From Fitting the Majority to Fitting a Few. - Alexandre Limare, Stéphane Popinet, Christophe Josserand, Zhonghan Xue, Arthur R. Ghigo:
A hybrid level-set / embedded boundary method applied to solidification-melt problems. - Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz:
Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. - Shiliang Zhang, Xuehui Ma, Hui Cao, Tengyuan Zhao, Yajie Yu, Zhuzhu Wang:
Contextualize differential privacy in image database: a lightweight image differential privacy approach based on principle component analysis inverse. - Yanci Zhang, Han Yu:
Towards Verifiable Federated Learning. - Ingvar M. Ziemann, Henrik Sandberg, Nikolai Matni:
Single Trajectory Nonparametric Learning of Nonlinear Dynamics. - Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta:
Private Online Prefix Sums via Optimal Matrix Factorizations. - Philipp Waibel, Lukas Pfahlsberger, Kate Revoredo, Jan Mendling:
Causal Process Mining from Relational Databases with Domain Knowledge. - Jide Yuan, George C. Alexandropoulos, Eleftherios Kofidis, Tobias Lindstrøm Jensen, Elisabeth de Carvalho:
Tensor-based Channel Tracking for RIS-Empowered Multi-User MIMO Wireless Systems. - Minh Van Nguyen, Nghia Trung Ngo, Bonan Min, Thien Huu Nguyen:
FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction. - Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang:
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. - Randall Balestriero, Ishan Misra, Yann LeCun:
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments. - Jan Dreier, Sebastian Ordyniak, Stefan Szeider:
SAT Backdoors: Depth Beats Size. - Yaochen Xie, Zhao Xu, Shuiwang Ji:
Self-Supervised Representation Learning via Latent Graph Prediction. - Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji:
Task-Agnostic Graph Explanations. - Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig:
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis. - Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake:
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. - Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh A. Ahuja, Ergin Utku Genc:
Anomalib: A Deep Learning Library for Anomaly Detection. - Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. - Alexsandro Oliveira Alexandrino, Andre Rodrigues Oliveira, Ulisses Dias, Zanoni Dias:
On the Complexity of Some Variations of Sorting by Transpositions. - Jinkun Wang, Fanfei Chen, Yewei Huang, John McConnell, Tixiao Shan, Brendan J. Englot:
Virtual Maps for Autonomous Exploration of Cluttered Underwater Environments. - Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski:
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. - Vedran Novakovic:
Vectorization of the Jacobi-type singular value decomposition method. - Jianan Chen, Qin Hu, Honglu Jiang:
MMZDA: Enabling Social Welfare Maximization in Cross-Silo Federated Learning. - Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei:
Learning Transferrable Representations of Career Trajectories for Economic Prediction. - Pierre Baldi, Roman Vershynin:
The Quarks of Attention. - Dimitrios E. Diamantis, Dimitris K. Iakovidis:
Fuzzy Pooling. - Kebing Jin, Huaixun Chen, Hankz Hankui Zhuo:
Text-Based Action-Model Acquisition for Planning. - Chengyue Gong, Lemeng Wu, Qiang Liu:
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity. - Vlad-Cristian Constantin, Paul Nikolaus, Jens B. Schmitt:
Improving Performance Bounds for Weighted Round-Robin Schedulers under Constrained Cross-Traffic. - Ewerton R. Vieira, Edgar Granados, Aravind Sivaramakrishnan, Marcio Gameiro, Konstantin Mischaikow, Kostas E. Bekris:
Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers. - Like Hui, Mikhail Belkin, Preetum Nakkiran:
Limitations of Neural Collapse for Understanding Generalization in Deep Learning. - Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang:
Generalizable Information Theoretic Causal Representation. - Hongxu Chen, Sixiao Zhang, Guandong Xu:
Graph Masked Autoencoder. - Yeeho Song, Jeff Schneider:
Robust Reinforcement Learning via Genetic Curriculum. - Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators. - Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison:
Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem. - Guo Cheng, Jiang Yu Zheng:
Shift-Memory Network for Temporal Scene Segmentation. - Changxi You:
Real Time Motion Planning Using Constrained Iterative Linear Quadratic Regulator for On-Road Self-Driving. - Piaopiao Jin, Yinjie Lin, Yanchao Tan, Tiefeng Li, Wei Yang:
Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning. - Howard H. Yang, Zuozhu Liu, Yaru Fu, Tony Q. S. Quek, H. Vincent Poor:
Federated Stochastic Gradient Descent Begets Self-Induced Momentum. - Christine P. Lee, Bengisu Cagiltay, Bilge Mutlu:
The Unboxing Experience: Exploration and Design of Initial Interactions Between Children and Social Robots. - Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu:
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes. - Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. - Aiden Bai:
Million.js: A Fast, Compiler-Augmented Virtual DOM for Performant JavaScript UI Libraries. - Rafael Morales, Noé Hernández, Ricardo Cruz Mendoza, Victor D. Cruz, Luis A. Pineda:
Entropic Associative Memory for Manuscript Symbols. - Nathan Jessurun, Olivia P. Dizon-Paradis, Jacob Harrison, Shajib Ghosh, Mark M. Tehranipoor, Damon L. Woodard, Navid Asadizanjani:
FPIC: A Novel Semantic Dataset for Optical PCB Assurance. - Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell:
Retrieval-Augmented Reinforcement Learning. - Jinseok Bae, Hojun Jang, Cheol-Hui Min, Hyungun Choi, Young Min Kim:
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video. - Yuxuan Sun, Sheng Zhou, Zhisheng Niu, Deniz Gündüz:
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning. - Shangda Wu, Xiaobing Li, Maosong Sun:
Chord-Conditioned Melody Choralization with Controllable Harmonicity and Polyphonicity. - Naga Nithin Manne, Shilvi Satpati, Tanu Malik, Amitabha Bagchi, Ashish Gehani, Amitabh Chaudhary:
CHEX: Multiversion Replay with Ordered Checkpoints. - George Boateng, Elgar Fleisch, Tobias Kowatsch:
Emotion Recognition among Couples: A Survey. - Liu Liu, Wenqiang Xu, Haoyuan Fu, Sucheng Qian, Yang Han, Cewu Lu:
AKB-48: A Real-World Articulated Object Knowledge Base. - Jiangyan Yi, Ruibo Fu, Jianhua Tao, Shuai Nie, Haoxin Ma, Chenglong Wang, Tao Wang, Zhengkun Tian, Ye Bai, Cunhang Fan, Shan Liang, Shiming Wang, Shuai Zhang, Xinrui Yan, Le Xu, Zhengqi Wen, Haizhou Li, Zheng Lian, Bin Liu:
ADD 2022: the First Audio Deep Synthesis Detection Challenge. - Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang:
A Survey of Explainable Reinforcement Learning. - Kun Yi, Guo-Hua Wang, Jianxin Wu:
PENCIL: Deep Learning with Noisy Labels. - Misha Stepanov:
Two continuous (4, 5) pairs of explicit 9-stage Runge-Kutta methods. - Pamul Yadav, Ashutosh Mishra, Junyong Lee, Shiho Kim:
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization. - Tatsuya Gima, Yota Otachi:
Extended MSO Model Checking via Small Vertex Integrity. - Dai Li, Akhil Reddy Pakala, Kaiyuan Yang:
MeNTT: A Compact and Efficient Processing-in-Memory Number Theoretic Transform (NTT) Accelerator. - Yiming Li, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng:
V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving. - Brandon Trabucco, Xinyang Geng, Aviral Kumar, Sergey Levine:
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization. - Wenwei Zhao, Suprith Gurudu, Shayan Taheri, Shajib Ghosh, Mukhil Azhagan Mallaiyan Sathiaseelan, Navid Asadizanjani:
PCB Component Detection using Computer Vision for Hardware Assurance. - Zixu Zhao, Yueming Jin, Pheng-Ann Heng:
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery. - Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong:
Transformer for Graphs: An Overview from Architecture Perspective. - Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia:
The Gene of Scientific Success. - Tianyi Yu, Wei Li:
A Creativity Survey of Parallel Sorting Algorithm. - DongNyeong Heo, Heeyoul Choi:
End-to-End Training of Both Translation Models in the Back-Translation Framework. - Mengqian Zhang, Yuhao Li, Jichen Li, Chaozhe Kong, Xiaotie Deng:
Insightful Mining Equilibria. - Erika Alves dos Santos, Silvio Peroni, Marcos Luiz Mucheroni:
An analysis of citing and referencing habits across all scholarly disciplines: approaches and trends in bibliographic metadata errors. - Hongjie Fang, Haoshu Fang, Sheng Xu, Cewu Lu:
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and Grasping. - Kazuya Takabatake, Shotaro Akaho:
Full-Span Log-Linear Model and Fast Learning Algorithm. - Giyoon Kim, Soram Kim, Soojin Kang, Jongsung Kim:
A Method for Decrypting Data Infected with Hive Ransomware. - Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi:
Revisiting the Evaluation Metrics of Paraphrase Generation. - Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu:
Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning. - Zuzhi Chen, Jialin Zhang:
Online Scheduling of Time-Critical Tasks to Minimize the Number of Calibrations. - Oliver Borchert, David Salinas, Valentin Flunkert, Tim Januschowski, Stephan Günnemann:
Multi-Objective Model Selection for Time Series Forecasting. - Xinhong Dai, Bin Duo, Xiaojun Yuan, Wanbin Tang:
Energy-Efficient UAV Communications: A Generalised Propulsion Energy Consumption Model. - Jiashi Zhang, Chengyang Zhang, Jun Wu, Jianxiang Jin, Qiuguo Zhu:
LiDAR-Inertial 3D SLAM with Plane Constraint for Multi-story Building. - Scott Y. L. Chin, Bradley R. Quinton:
Dynamic Object Comprehension: A Framework For Evaluating Artificial Visual Perception. - Catherine Jennifer, Fatemeh Tahmasbi, Jeremy Blackburn, Gianluca Stringhini, Savvas Zannettou, Emiliano De Cristofaro:
Feels Bad Man: Dissecting Automated Hateful Meme Detection Through the Lens of Facebook's Challenge. - Aditi S. Krishnapriyan, Alejandro F. Queiruga, N. Benjamin Erichson, Michael W. Mahoney:
Learning continuous models for continuous physics. - Wenyao Zhang, Shipeng Lv, Feng Xue, Chen Yao, Zheng Zhu, Zhenzhong Jia:
Predict the Rover Mobility over Soft Terrain using Articulated Wheeled Bevameter. - Xunhui Zhang, Tao Wang, Yue Yu, Yanzhi Zhang, Yan Zhong, Huaimin Wang:
The Development and Prospect of Code Clone. - Fengze Li, Jieming Ma, Zhongbei Tian, Ji Ge, Hai-Ning Liang, Yungang Zhang, Tianxi Wen:
Mirror-Yolo: An attention-based instance segmentation and detection model for mirrors. - Léonard Brice, Jean-François Raskin, Marie van den Bogaard:
The Complexity of SPEs in Mean-payoff Games. - Yao Yao, Junyi Shen, Jin Xu, Bin Zhong, Li Xiao:
CLS: Cross Labeling Supervision for Semi-Supervised Learning. - Roshni Chakraborty, Josefine Holm, Torben Bach Pedersen, Petar Popovski:
Finding Representative Sampling Subsets in Sensor Graphs using Time Series Similarities. - Jiali Zhou, Haris N. Koutsopoulos:
Schedule-based Analysis of Transmission Risk in Public Transportation Systems. - Beihao Xia, Conghao Wong, Qinmu Peng, Wei Yuan, Xinge You:
CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces. - Hengshun Zhou, Jun Du, Chao-Han Huck Yang, Shifu Xiong, Chin-Hui Lee:
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning. - Dmitry Rozplokhas, Dmitry Boulytchev:
Scheduling Complexity of Interleaving Search. - Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao:
Visual Ground Truth Construction as Faceted Classification. - Muhammad Ali, Sayed Hashim:
Survey on Self-supervised Representation Learning Using Image Transformations. - Pranay Bhardwaj, Syed Mohammad Zafaruddin:
Performance of Hybrid THz and Multi-Antenna RF System with Diversity Combining. - Wenjie Du, David Côté, Yan Liu:
SAITS: Self-Attention-based Imputation for Time Series. - Haihan Tang, Yi Wang, Lap-Pui Chau:
TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting. - Adriana-Eliza Cozma, Lisa Morgan, Martin Stolz, David Stöckel, Kilian Rambach:
DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflections for Object Classification. - Chandra Sekhar Mukherjee, Pan Peng, Jiapeng Zhang:
Recovering Unbalanced Communities in the Stochastic Block Model With Application to Clustering with a Faulty Oracle. - Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. - Nina Effenberger, Nicole Ludwig:
A Collection and Categorization of Open-Source Wind and Wind Power Datasets. - Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, J. Marius Zöllner:
Point Cloud Generation with Continuous Conditioning. - Boli Chen, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Meishan Zhang, Fei Huang:
AISHELL-NER: Named Entity Recognition from Chinese Speech. - Hilde J. P. Weerts, Lambèr Royakkers, Mykola Pechenizkiy:
Does the End Justify the Means? On the Moral Justification of Fairness-Aware Machine Learning. - Yu-Wei Chen, Soo-Chang Pei:
Domain Adaptation for Underwater Image Enhancement via Content and Style Separation. - Carlos Granero-Belinchón, Stéphane G. Roux, Nicolas B. Garnier, Pierre Tandeo, Bertrand Chapron, Alexis Mouche:
Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images. - Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis G. Wilson:
When, where, and how to add new neurons to ANNs. - Francis Filbet, Claudia Negulescu:
Fokker-Planck Multi-Species Equations in the Adiabatic Asymptotics. - Jiaxu Li, Yin Xu, Ying Wang, Meng Li, Jinghan He, Chen-Ching Liu, Kevin P. Schneider:
Resilience-Motivated Distribution System Restoration Considering Electricity-Water-Gas Interdependency. - Alkida Balliu, Sebastian Brandt, Yi-Jun Chang, Dennis Olivetti, Jan Studený, Jukka Suomela:
Efficient Classification of Local Problems in Regular Trees. - Francis R. Bach:
Information Theory with Kernel Methods. - Partha Das Chowdhury, Andrés Domínguez Hernández, Kopo M. Ramokapane, Awais Rashid:
The Political Economy of Privacy Enhancing Technologies. - Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang:
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries. - Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Delay-adaptive step-sizes for asynchronous learning. - Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen:
3D-Aware Indoor Scene Synthesis with Depth Priors. - Antoine Amarilli, Michael Benedikt, Pierre Bourhis, Michael Vanden Boom:
Query Answering with Transitive and Linear-Ordered Data. - Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. - Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu:
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving. - Stefano Teso, Antonio Vergari:
Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs. - Stefano Berrone, Andrea Borio, Francesca Marcon:
Comparison of standard and stabilization free Virtual Elements on anisotropic elliptic problems. - Hichem Belgacem, Xiaochen Li, Domenico Bianculli, Lionel C. Briand:
A Machine Learning Approach for Automated Filling of Data Entry Forms. - Qiyu Li, Chunlai Zhou, Biao Qin, Zhiqiang Xu:
Local Differential Privacy for Belief Functions. - Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud:
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks. - Zejia Su, Haibin Huang, Chongyang Ma, Hui Huang, Ruizhen Hu:
Point cloud completion on structured feature map with feedback network. - Atilim Günes Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip H. S. Torr:
Gradients without Backpropagation. - Boxue Xiao, Zhuoran Zheng, Xiang Chen, Chen Lv, Yunliang Zhuang, Tao Wang:
Single UHD Image Dehazing via Interpretable Pyramid Network. - Peter Hansbo, Mats G. Larson:
Augmented Lagrangian approach to deriving discontinuous Galerkin methods for nonlinear elasticity problems. - Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue:
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. - Xingjian Cao, Zonghang Li, Hongfang Yu, Gang Sun:
CoFED: Cross-silo Heterogeneous Federated Multi-task Learning via Co-training. - Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Joongheon Kim:
Two-Stage Architectural Fine-Tuning with Neural Architecture Search using Early-Stopping in Image Classification. - Roberto Amadini, Maurizio Gabbrielli, Tong Liu, Jacopo Mauro:
On the evaluation of (meta-)solver approaches. - Liao Wang, Jiakai Zhang, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minye Wu, Lan Xu, Jingyi Yu:
Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time. - Sergio Esposito, Daniele Sgandurra, Giampaolo Bella:
Alexa versus Alexa: Controlling Smart Speakers by Self-Issuing Voice Commands. - (Withdrawn) Kirin: A Quadruped Robot with High Payload Carrying Capability.
- Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok:
Revisiting Over-smoothing in BERT from the Perspective of Graph. - Stefan Reimann:
A novel HD Computing Algebra: Non-associative superposition of states creating sparse bundles representing order information. - Meng Chen, Dao Zhou, Ali Tayyebi, Eduardo Prieto-Araujo, Florian Dörfler, Frede Blaabjerg:
Augmentation of Generalized Multivariable Grid-Forming Control for Power Converters with Cascaded Controllers. - Ferucio Laurentiu Tiplea, Vlad-Florin Dragoi:
Generalized Inverse Based Decoding. - Yan Li, Yunquan Dong, Byonghyo Shim:
On-Time Communications Over Fading Channels. - Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu:
Semantically Proportional Patchmix for Few-Shot Learning. - Santiago Ramos Garces, Abdelmajid Ben Yahya, Nick Van Oosterwyck, Dries Jacques, Stijn Derammelaere:
Bode-based speed Proportional Integral and notch filter tuning of a Permanent Magnet Synchronous Machine driven flexible system. - Siddhartha Paul Tiwari:
Information and communication technology initiatives for knowledge sharing in agriculture. - Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud:
Robust Sparse Voting. - Jonathan Sterling:
Bilimits in categories of partial maps. - Emmanuel Abbe, Enric Boix-Adserà, Theodor Misiakiewicz:
The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks. - Konrad Hohentanner, Philipp Zieris, Julian Horsch:
PACSafe: Leveraging ARM Pointer Authentication for Memory Safety in C/C++. - Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor:
Domain Randomization for Object Counting. - Rory W. Spanton, Olivia Guest:
Measuring Trustworthiness or Automating Physiognomy? A Comment on Safra, Chevallier, Grèzes, and Baumard (2020). - Xinghua Xue, Haitong Huang, Cheng Liu, Ying Wang, Tao Luo, Lei Zhang:
Winograd Convolution: A Perspective from Fault Tolerance. - Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen:
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines. - Durgesh Haribhau Salunkhe, Christoforos Spartalis, Jose Capco, Damien Chablat, Philippe Wenger:
Necessary and sufficient condition for a generic 3R serial manipulator to be cuspidal. - Mark Bouwman, Rick Erkens:
Term Rewriting Based On Set Automaton Matching. - Tali Kaufman, Dor Minzer:
Improved Optimal Testing Results from Global Hypercontractivity. - Wanda Zhao, Alexandr Klimchik, Anatol Pashkevich, Damien Chablat:
Non-linear stiffness behavior of planar serial robotic manipulators. - Rémi Kazmierczak, Gianni Franchi, Nacim Belkhir, Antoine Manzanera, David Filliat:
A study of deep perceptual metrics for image quality assessment. - Ying Chen, Thorsten Koch, Nazgul Zakiyeva, Kailiang Liu, Zhitong Xu, Chun-Houh Chen, Junji Nakano, Keisuke Honda:
Article's Scientific Prestige: measuring the impact of individual articles in the Web of Science. - Milad Mirbabaie, Julian Marx, Johanna Germies:
Conscious Commerce - Digital Nudging and Sustainable E-commerce Purchase Decisions. - Myroslav J. Syvyi, Ordenbek B. Mazbayev, Olga M. Varakuta, Natalia B. Panteleeva, Olga V. Bondarenko:
Distance learning as innovation technology of school geographical education. - Rujia Li, Qin Wang, Qi Wang, David Galindo:
How Do Smart Contracts Benefit Security Protocols? - Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk:
Detecting and Learning the Unknown in Semantic Segmentation. - Ankur Tagra, Haoxiang Zhang, Gopi Krishnan Rajbahadur, Ahmed E. Hassan:
Revisiting reopened bugs in open source software systems. - Mohammad Rajabdorri, Enrique Lobato, Lukas Sigrist:
Robust Frequency Constrained UC Using Data Driven Logistic Regression for Island Power Systems. - Eric Angel, Sébastien Morais, Damien Regnault:
A Bi-Criteria FPTAS for Scheduling with Memory Constraints on Graph with Bounded Tree-width. - Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Yong Chen, Cui Tao:
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing. - Haris Aziz, Bo Li, Hervé Moulin, Xiaowei Wu:
Algorithmic Fair Allocation of Indivisible Items: A Survey and New Questions. - Adam Sky, Michael Neunteufel, Ingo Münch, Joachim Schöberl, Patrizio Neff:
Primal and mixed finite element formulations for the relaxed micromorphic model. - Karim Makki, Jean François Lecomte, Lukas Fuchs, Sylvie Schueller, Étienne Mémin:
Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series. - Rainald Löhner, Harbir Antil, Juan Marcelo Giménez, Sergio Idelsohn, Eugenio Oñate:
A Deterministic Pathogen Transmission Model Based on High-Fidelity Physics. - Alexander Johansson, Jonas Mårtensson:
Game Theoretic Models for Profit-Sharing in Multi-fleet Platoons. - Alexander Johansson, Jonas Mårtensson, Xiaotong Sun, Yafeng Yin:
Real-Time Cross-Fleet Pareto-Improving Truck Platoon Coordination. - Lawrence S. Moss, Thomas F. Icard III:
A Completeness Result for Inequational Reasoning in a Full Higher-Order Setting. - Jialin Yu, Huogen Wang, Ming Chen:
Colonoscopy polyp detection with massive endoscopic images. - Zhengren Wang, Yi Zhou, Mingyu Xiao, Bakhadyr Khoussainov:
Listing Maximal k-Plexes in Large Real-World Graphs. - Adam Sky, Ingo Münch, Patrizio Neff:
On H1, H(curl) and H(sym Curl) finite elements for matrix-valued Curl problems. - Claude Carlet, Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions. - Eva-Maria Hainzl, Maarten Löffler, Daniel Perz, Josef Tkadlec, Markus Wallinger:
Finding a Battleship of Uncertain Shape. - Alexander Johansson, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson:
Multi-Fleet Platoon Matching: A Game-Theoretic Approach. - Syed Raza Bashir, Vojislav B. Misic:
Improving Rating and Relevance with Point-of-Interest Recommender System. - David Li, Yinda Zhang, Christian Häne, Danhang Tang, Amitabh Varshney, Ruofei Du:
OmniSyn: Synthesizing 360 Videos with Wide-baseline Panoramas. - Vilde Jensen, Filippo Maria Bianchi, Stian Normann Anfinsen:
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting. - Ziyin Ma, Changjae Oh:
A Wavelet-based Dual-stream Network for Underwater Image Enhancement. - Ye Paing, Tatiana Castro Vélez, Raffi Khatchadourian:
QuerTCI: A Tool Integrating GitHub Issue Querying with Comment Classification. - Sai C. Divi, Pieter H. van Zuijlen, Tuong Hoang, Frits de Prenter, Ferdinando Auricchio, Alessandro Reali, E. Harald van Brummelen, Clemens V. Verhoosel:
Residual-based error estimation and adaptivity for stabilized immersed isogeometric analysis using truncated hierarchical B-splines. - Niall Bootland, Victorita Dolean:
Are spectral coarse spaces sufficiently robust for heterogeneous Helmholtz problems? - Jaesung Rim, Geonung Kim, Jungeon Kim, Junyong Lee, Seungyong Lee, Sunghyun Cho:
Realistic Blur Synthesis for Learning Image Deblurring. - Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao:
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. - Ozan Alp Topal, Mustafa Özger, Dominic Schupke, Emil Björnson, Cicek Cavdar:
mmWave Communications for Indoor Dense Spaces: Ray-Tracing Based Channel Characterization and Performance Comparison. - Juan Irving Vasquez-Gomez, David E. Troncoso Romero, Mayra Antonio-Cruz, Erik Zamora:
Spiral Trajectories for Building Inspection with Quadrotors. - Alessandro Bonatti, Munther A. Dahleh, Thibaut Horel, Amir Nouripour:
Selling Information in Competitive Environments. - Jianhao Ma, Salar Fattahi:
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization. - Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong:
cosFormer: Rethinking Softmax in Attention. - Richmond Y. Wong, Michael A. Madaio, Nick Merrill:
Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics. - Dina Benedicte Stensen, Rafael Adolfo Nozal Cañadas, Lars Småbrekke, Karina Standahl Olsen, Christopher Sivert Nielsen, Kristian Svendsen, Anne Merethe Hanssen, Johanna Sollid, Gunnar Skov Simonsen, Lars Ailo Bongo, Anne-Sofie Furberg:
Social network analysis of Staphylococcus aureus carriage in a general youth population. - Frédéric Marazzato:
Computation of Miura surfaces for general Dirichlet boundary conditions. - Hussam Habib, Padmini Srinivasan, Rishab Nithyanand:
Making a Radical Misogynist: How online social engagement with the Manosphere influences traits of radicalization. - Jiayuan Mao, Haoyue Shi, Jiajun Wu, Roger P. Levy, Joshua B. Tenenbaum:
Grammar-Based Grounded Lexicon Learning. - Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke:
Fast Dynamic Updates and Dynamic SpGEMM on MPI-Distributed Graphs. - Conor O'Brien, Huasen Wu, Shaodan Zhai, Dalin Guo, Wenzhe Shi, Jonathan J. Hunt:
Should I send this notification? Optimizing push notifications decision making by modeling the future. - Lei Jiang, Qian Lou, Nrushad Joshi:
MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus. - Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson:
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers. - Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang:
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. - Shagun Jhaver, Quan Ze Chen, Detlef Knauss, Amy X. Zhang:
Designing Word Filter Tools for Creator-led Comment Moderation. - Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi:
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. - Cesare Bernardis:
Multi-stage Ensemble Model for Cross-market Recommendation. - Dimitar I. Dimitrov, Mislav Balunovic, Nikola Jovanovic, Martin T. Vechev:
LAMP: Extracting Text from Gradients with Language Model Priors. - James Lottes:
Optimal polynomial smoothers for multigrid V-cycles. - Mohammad Fereydounian, Hamed Hassani, Javid Dadashkarimi, Amin Karbasi:
The Exact Class of Graph Functions Generated by Graph Neural Networks. - Leslie N. Smith:
General Cyclical Training of Neural Networks. - Nabeel Seedat, Jonathan Crabbé, Mihaela van der Schaar:
Data-SUITE: Data-centric identification of in-distribution incongruous examples. - Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. - Kai Sauerwald, Christoph Beierle:
Iterated Belief Change, Computationally. - Efthymios Tzinis, Yossi Adi, Vamsi Krishna Ithapu, Buye Xu, Paris Smaragdis, Anurag Kumar:
RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing. - Yun-Da Tsai, Shou-De Lin:
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network. - Jesse R. Pisel, Joshua A. Dierker, Sanya Srivastava, Samira B. Ravilisetty, Michael J. Pyrcz:
A recommender system for automatic picking of subsurface formation tops. - Prosenjit Bose, Pat Morin, Saeed Odak:
An Optimal Algorithm for Product Structure in Planar Graphs. - Tong Zhao, Gang Liu, Stephan Günnemann, Meng Jiang:
Graph Data Augmentation for Graph Machine Learning: A Survey. - Ravinga Perera, Thilakshi Fonseka, Rashmini Naranpanawa, Uthayasanker Thayasivam:
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag. - Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato:
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. - Nishant Yadav, Meytar Sorek-Hamer, Michael Von Pohle, Ata Akbari Asanjan, Adwait Sahasrabhojanee, Esra Suel, Raphael Arku, Violet Lingenfelter, Michael Brauer, Majid Ezzati, Nikunj C. Oza, Auroop R. Ganguly:
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations. - Christopher Wise, Jo Plested:
Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies. - Giovanni Cioffi, Titus Cieslewski, Davide Scaramuzza:
Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study. - Sándor Kisfaludi-Bak, Karolina Okrasa, Pawel Rzazewski:
Computing list homomorphisms in geometric intersection graphs. - Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das:
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. - Satvik Venkatesh, David Moffat, Eduardo Reck Miranda:
Word Embeddings for Automatic Equalization in Audio Mixing. - Yongbaek Cho, Changhoon Kim, Yezhou Yang, Yi Ren:
Attributable Watermarking of Speech Generative Models. - Li Shi, Nilavra Bhattacharya, Anubrata Das, Matthew Lease, Jacek Gwizdka:
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims. - Alex Bespalov, David J. Silvester:
Error estimation and adaptivity for stochastic collocation finite elements Part II: multilevel approximation. - Itamar Cohen, Carla-Fabiana Chiasserini, Paolo Giaccone, Gabriel Scalosub:
Dynamic Service Provisioning in the Edge-cloud Continuum with Provable Guarantees. - Niklas Muennighoff:
SGPT: GPT Sentence Embeddings for Semantic Search. - Barret Zoph, Irwan Bello, Sameer Kumar, Nan Du, Yanping Huang, Jeff Dean, Noam Shazeer, William Fedus:
Designing Effective Sparse Expert Models. - Frederic Koehler, Holden Lee, Andrej Risteski:
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods. - Susanna F. de Rezende, Mika Göös, Robert Robere:
Proofs, Circuits, and Communication. - Sruthi Nair, Abhishek Gupta, Raunak Joshi, Vidya Chitre:
Combining Varied Learners for Binary Classification using Stacked Generalization. - Tiago Palma Pagano, Lucas Lemos Ortega, Victor Rocha Santos, Yasmin da Silva Bonfim, José Vinícius Dantas Paranhos, Paulo Henrique Miranda Sá, Lian Filipe Santana Nascimento, Ingrid Winkler, Erick Giovani Sperandio Nascimento:
Machine learning models and facial regions videos for estimating heart rate: a review on Patents, Datasets and Literature. - Nitisha Jain, Ralf Krestel:
Discovering Fine-Grained Semantics in Knowledge Graph Relations. - Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
FLAME: Federated Learning Across Multi-device Environments. - Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach:
On Guiding Visual Attention with Language Specification. - Yi Zhou, Mark van Hoeij:
Desingularization and p-Curvature of Recurrence Operators. - Chinmay Shah, Aaron Fleming, Varun Nalam, He Huang:
Design of EMG-driven Musculoskeletal Model for Volitional Control of a Robotic Ankle Prosthesis. - Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa:
Handling Imbalanced Datasets Through Optimum-Path Forest. - Bowen Weng, Minghao Zhu, Keith A. Redmill:
A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-Sampling. - Timofey Grigoryev, Andrey Voynov, Artem Babenko:
When, Why, and Which Pretrained GANs Are Useful? - Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette:
Improving Intrinsic Exploration with Language Abstractions. - Lesley Tan, Liang Chen:
Enhanced DeepONet for Modeling Partial Differential Operators Considering Multiple Input Functions. - Abderrahmen Amich, Birhanu Eshete:
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem. - Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz:
Symphony: Composing Interactive Interfaces for Machine Learning. - Camille Coti, Allen D. Malony:
SKaMPI-OpenSHMEM: Measuring OpenSHMEM Communication Routines. - Yue Yu:
Programming of linear virtual element methods in three dimensions. - Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury:
An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. - Sartaj Ahmed Salman, Zhichao Lian, Yuduo Zhang:
Classification of ADHD Patients by Kernel Hierarchical Extreme Learning Machine. - Guo-Hua Wang, Jianxin Wu:
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning. - Qijie Shen, Hong Wen, Wanjie Tao, Jing Zhang, Fuyu Lv, Zulong Chen, Zhao Li:
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation. - Amine Barrak, Bram Adams, Amal Zouaq:
Toward a traceable, explainable, and fairJD/Resume recommendation system. - Nikos Aréchiga, Francine Chen, Rumen Iliev, Emily Sumner, Scott A. Carter, Alexandre L. S. Filipowicz, Nayeli Suseth Bravo, Monica P. Van, Kate Glazko, Kalani Murakami, Laurent Denoue, Candice Hogan, Katharine Sieck, Charlene C. Wu, Kent Lyons:
Understanding and Shifting Preferences for Battery Electric Vehicles. - Frederick Mubang, Lawrence O. Hall:
Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models. - Anton Kolonin:
High-performance automatic categorization and attribution of inventory catalogs. - Xiaoyu Dai, Kaoru Ota, Mianxiong Dong:
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle. - Yoones Rezaei, Stephen Lee, Daniel Mossé:
Energy-Efficient Parking Analytics System using Deep Reinforcement Learning. - Sarala Padi, Seyed Omid Sadjadi, Dinesh Manocha, Ram D. Sriram:
Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT-based models. - Sergey Troshin, Nadezhda Chirkova:
Probing Pretrained Models of Source Code. - Leslie N. Smith:
Cyclical Focal Loss. - Ali Shafti, Victoria Derks, Hannah Kay, A. Aldo Faisal:
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations. - Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller:
A Summary of the ComParE COVID-19 Challenges. - Yu Yol Shin, Yoonjin Yoon:
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting. - André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt:
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. - Shaocheng Jia, Wei Yao:
Joint Learning of Frequency and Spatial Domains for Dense Predictions. - Zhongqiang Ren, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Enhanced Multi-Objective A* Using Balanced Binary Search Trees. - Vahid R. Asadi, Alexander Golovnev, Tom Gur, Igor Shinkar:
Worst-Case to Average-Case Reductions via Additive Combinatorics. - Biao Gao, Xijun Zhao, Huijing Zhao:
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation. - Zhengyi Zhang, Pan Zhou:
End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system. - Ryan Amos, Roland Maio, Prateek Mittal:
Reviews in motion: a large scale, longitudinal study of review recommendations on Yelp. - Alireza Rezazadeh, Changhyun Choi:
KINet: Keypoint Interaction Networks for Unsupervised Forward Modeling. - Shih-Ting Lin, Zhaofang Li, Yu-Hsiang Cheng, Hao-Wen Kuo, Chih-Cheng Lu, Kea-Tiong Tang:
LG-LSQ: Learned Gradient Linear Symmetric Quantization. - Jun Zhang, Zhengchun Zhou, Chunming Tang:
A class of twisted generalized Reed-Solomon codes. - Dirk Bergemann, Yang Cai, Grigoris Velegkas, Mingfei Zhao:
Is Selling Complete Information (Approximately) Optimal? - Yiyi Zhang, Ying Zheng, Xiaogang Xu, Jun Wang:
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? - Nesara Dissanayake, Mansooreh Zahedi, Asangi Jayatilaka, Muhammad Ali Babar:
Why, How and Where of Delays in Software Security Patch Management: An Empirical Investigation in the Healthcare Sector. - Baoqian Wang, Junfei Xie, Nikolay Atanasov:
DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors. - Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek:
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements. - Namwoo Kim, Yoonjin Yoon:
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT). - Zhichao Geng, Hang Yan, Zhangyue Yin, Chenxin An, Xipeng Qiu:
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER. - Aniruddha Biswas, Palash Sarkar:
On The "Majority is Least Stable" Conjecture. - Mingyue Tang, Carl Yang, Pan Li:
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction. - Jing Yang, Fang-Wei Fu:
Post-quantum Multi-stage Secret Sharing Schemes using Inhomogeneous Linear Recursion and Ajtai's Function. - Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor:
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning. - Tomer Galanti:
A Note on the Implicit Bias Towards Minimal Depth of Deep Neural Networks. - Shaahin Angizi, Sepehr Tabrizchi, Arman Roohi:
PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processing. - Chao Qin, Daniel Russo:
Adaptivity and Confounding in Multi-Armed Bandit Experiments. - Kanak Tekwani, Manojkumar Parmar:
Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness. - Jianan Chen, Qin Hu, Honglu Jiang:
Social Welfare Maximization in cross-silo Federated Learning. - Sang-Yon Lee:
Task Specific Attention is one more thing you need for object detection. - Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo:
CLSEG: Contrastive Learning of Story Ending Generation. - Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong Liu:
Guide Local Feature Matching by Overlap Estimation. - Harsh Vardhan, Sebastian U. Stich:
Tackling benign nonconvexity with smoothing and stochastic gradients. - Jialin Hong, Diancong Jin, Derui Sheng:
Convergence analysis of a finite difference method for stochastic Cahn-Hilliard equation. - Denis Demidov:
Efficient solution of 3D elasticity problems with smoothed aggregation algebraic multigrid and block arithmetics. - Hannes Bartz, Thomas Jerkovits:
Fast Kötter-Nielsen-Høholdt Interpolation over Skew Polynomial Rings. - Zixuan Yang, Xiaofan Wang, Lin Wang:
Controllability of Networked Sampled-data Systems. - Feilong Chen, Duzhen Zhang, Minglun Han, Xiuyi Chen, Jing Shi, Shuang Xu, Bo Xu:
VLP: A Survey on Vision-Language Pre-training. - Charl Maree, Christian W. Omlin:
Can Interpretable Reinforcement Learning Manage Assets Your Way? - Sven Gross, Arnold Reusken:
Analysis of optimal preconditioners for CutFEM. - Yuqing Wang, Mika V. Mäntylä, Zihao Liu, Jouni Markkula, Päivi Raulamo-Jurvanen:
Improving Test Automation Maturity: a Multivocal Literature Review. - Perttu Saarela, Matteo Allaix, Ragnar Freij-Hollanti, Camilla Hollanti:
Private Information Retrieval from Colluding and Byzantine Servers with Binary Reed-Muller Codes. - Matthew J. Vowels, Sina Akbari, Jalal Etesami, Necati Cihan Camgöz, Richard Bowden:
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics. - Aryan Sharma, Nitik Jain, Mangal Kothari:
Lightweight Multi-Drone Detection and 3D-Localization via YOLO. - Da Li, Ming Yi, Yukai He:
AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification. - Lukas Stappen, Manuel Milling, Valentin Munst, Korakot Hoffmann, Björn W. Schuller:
Predicting Sex and Stroke Success - Computer-aided Player Grunt Analysis in Tennis Matches. - Ting Bai, Alexander Johansson, Karl Henrik Johansson, Jonas Mårtensson:
Event-Triggered Distributed Model Predictive Control for Platoon Coordination at Hubs in a Transport System. - Yuling Gu, Nancy F. Chen:
Large-Scale Acoustic Characterization of Singaporean Children's English Pronunciation. - Tuomas Sormunen, Arttu Lämsä, Miguel Bordallo López:
Iterative Learning for Instance Segmentation. - Melissa Licciardello, Lukas Humbel, Fabian Rohr, Maximilian Grüner, Ankit Singla:
Prepare your video for streaming with Segue. - Haoyu Ren, Darko Anicic, Thomas A. Runkler:
How to Manage Tiny Machine Learning at Scale: An Industrial Perspective. - Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain:
Towards Simple and Accurate Human Pose Estimation with Stair Network. - Alexander Johansson, Valerio Turri, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson:
Truck Platoon Formation at Hubs: An Optimal Release Time Rule. - Peichen Xie, Zihan Zheng, Xian Zhang, Shuo Chen:
Decentralized Verifiable Mail-in Ballot Counting for Postal Voting. - Shir Cohen, Idit Keidar, Alexander Spiegelman:
Make Every Word Count: Adaptive BA with Fewer Words. - Onur Dizdar, Aryan Kaushik, Bruno Clerckx, Christos Masouros:
Energy Efficient Dual-Functional Radar-Communication: Rate-Splitting Multiple Access, Low-Resolution DACs, and RF Chain Selection. - Kevin H. Huang, Peter Orbanz, Morgane Austern:
Quantifying the Effects of Data Augmentation. - Xavier Salleras, Sergi Rovira, Vanesa Daza:
FORT: Right-proving and Attribute-blinding Self-sovereign Authentication. - Thomas Roland Barillot, Jacob Saks, Polena Lilyanova, Edward Torgas, Yachen Hu, Yuanqing Liu, Varun Balupuri, Paul Gaskell:
Modelling the semantics of text in complex document layouts using graph transformer networks. - Beibei Wang, Bo Jiang:
Generalizing Aggregation Functions in GNNs: High-Capacity GNNs via Nonlinear Neighborhood Aggregators. - Ahmad Khaliq, Michael Milford, Sourav Garg:
MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery. - Konstantinos Chrysafinos, Dimitra Plaka:
Analysis and approximations of an optimal control problem for the Allen-Cahn equation. - Hyeok Kim, Youjin Hwang, Jieun Lee, Youngjin Kwon, Yujin Park, Joonhwan Lee:
Personalization Trade-offs in Designing a Dialogue-based Information System for Support-Seeking of Sexual Violence Survivors. - Ihor Kholoshyn, Tetiana Nazarenko, Olga V. Bondarenko, Olena Hanchuk, Iryna Varfolomyeyeva:
The application of geographic information systems in schools around the world: a retrospective analysis. - Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer:
Gaussian Mixture Convolution Networks. - Xingjian Cao, Gang Sun, Hongfang Yu, Mohsen Guizani:
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks. - Bojun Lu, Duan Li, Rujun Jiang:
Tackling A Class of Hard Subset-Sum Problems: Integration of Lattice Attacks with Disaggregation Techniques. - Rostyslav Tarasenko, Svitlana Amelina, Yuliya M. Kazhan, Olga V. Bondarenko:
The use of AR elements in the study of foreign languages at the university. - Claudia Schon:
Selection Strategies for Commonsense Knowledge. - Qixiang Fang, Dong Nguyen, Daniel L. Oberski:
Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions. - Bernardo Fichera, Aude Billard:
Linearization and Identification of Multiple-Attractors Dynamical System through Laplacian Eigenmaps. - Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi:
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. - Alexander Vieth, Anna Vilanova, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Thomas Höllt:
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images. - Onur Ayan, Polina Kutsevol, Hasan Yagiz Özkan, Wolfgang Kellerer:
Task-oriented Scheduling for Networked Control Systems: An Age of Information-Aware Implementation on Software-defined Radios. - Jabeen Summaira, Xi Li, Amin Muhammad Shoib, Abdul Jabbar:
A Review on Methods and Applications in Multimodal Deep Learning. - Abdulaziz Ahmed, Omar Ashour, Haneen Ali, Mohammad Firouz:
An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients. - Christof Weiß, Geoffroy Peeters:
Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation. - Sergio Amat, P. Ortiz, Juan Ruiz, Juan Carlos Trillo, Dionisio F. Yáñez:
Geometric representation of the weighted harmonic mean of n positive values and potential uses. - Gang Bao, Mingming Zhang, Xue Jiang, Peijun Li, Xiaokai Yuan:
An Adaptive Finite Element DtN Method for Maxwell's Equations. - Haebom Lee, Christian Homeyer, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks. - Maurício de Vasconcelos Barros, Frederico Schardong, Ricardo Felipe Custódio:
Leveraging Self-Sovereign Identity, Blockchain, and Zero-Knowledge Proof to Build a Privacy-Preserving Vaccination Pass. - Robert Ganian, Thekla Hamm, Dusan Knop, Simon Schierreich, Ondrej Suchý:
Hedonic Diversity Games: A Complexity Picture with More than Two Colors. - Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song:
Molecule Generation for Drug Design: a Graph Learning Perspective. - Mika Mäntylä, Martín Varela, Shayan Hashemi:
Pinpointing Anomaly Events in Logs from Stability Testing - N-Grams vs. Deep-Learning. - Tomer Ezra, Michal Feldman, Nick Gravin, Zhihao Gavin Tang:
On the Significance of Knowing the Arrival Order in Prophet Inequality. - Stefan Scherzinger, Pascal Becker, Arne Roennau, Rüdiger Dillmann:
A practical DMPs Implementation for Skill Creation and Teleoperation with Assistive Manipulators. - Yash Deshpande, Onur Ayan, Wolfgang Kellerer:
Improving AoI via Learning-based Distributed MAC in Wireless Networks. - Venkatraman Renganathan, Angela Fontan, Karthik Ganapathy:
History Data Driven Distributed Consensus in Networks. - Jérémy Berthomieu, Vincent Neiger, Mohab Safey El Din:
Faster change of order algorithm for Gröbner bases under shape and stability assumptions. - Sam Van den Vonder, Thierry Renaux, Wolfgang De Meuter:
Topology-Level Reactivity in Distributed Reactive Programs: Reactive Acquaintance Management using Flocks. - Elpida Keravnou-Papailiou:
Figuring and Drawing: A Visual Approach to Principled Programming. - Andrey Mokhov:
United Monoids: Finding Simplicial Sets and Labelled Algebraic Graphs in Trees. - Nathanaëlle Courant, Julien Lepiller, Gabriel Scherer:
Debootstrapping without Archeology: Stacked Implementations in Camlboot. - Maiara F. Bollauf, Hsuan-Yin Lin, Øyvind Ytrehus:
On the Secrecy Gain of Formally Unimodular Construction A4 Lattices. - Mark Collier, Rodolphe Jenatton, Efi Kokiopoulou, Jesse Berent:
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. - Nicholas J. Teague:
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge. - Martin W. Hess, Annalisa Quaini, Gianluigi Rozza:
Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics. - Louis Esperet, Nathaniel Harms, Andrey Kupavskii:
Sketching Distances in Monotone Graph Classes. - Himank Gupta, A. Antony Franklin, Mayank Kumar, Bheemarjuna Reddy Tamma:
Traffic-Aware Dynamic Functional Split for 5G Cloud Radio Access Networks. - Johan Simonsson, Khalid Tourkey Atta, Wolfgang Birk:
Reduced-Order Modeling of Thermal Dynamics in District Energy Networks using Spectral Clustering. - Killian Dally, Erik-Jan van Kampen:
Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control. - Vandana Rajan, Alessio Brutti, Andrea Cavallaro:
Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition? - Thaís Bardini Idalino, Lucia Moura:
Structure-aware combinatorial group testing: a new method for pandemic screening. - Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E.:
Deep Movement Primitives: toward Breast Cancer Examination Robot. - Stephen Montgomery-Smith, Cecil Shy:
Using dual quaternions in robotics. - Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner:
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. - Xu Yi, Gregory S. Chirikjian:
When Kinematics Dominates Mechanics: Locally Volume-Preserving Primitives for Model Reduction in Finite Elasticity. - Nelson Fernandez Pinto, Thomas Gilles:
Enhanced Behavioral Cloning with Environmental Losses for Self-Driving Vehicles. - Bini Angui, Romuald Corbel, Verónica Quintuna Rodriguez, Emile Stephan:
Towards 6G zero touch networks: The case of automated Cloud-RAN deployments. - Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri, Yvon Savaria:
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks. - Nicholas J. Teague:
Geometric Regularization from Overparameterization explains Double Descent and other findings. - Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux:
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering. - Son N. T. Tu, Thu Nguyen:
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural Network. - Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia:
Surf or sleep? Understanding the influence of bedtime patterns on campus. - Saeed Damadi, Erfan Nouri, Hamed Pirsiavash:
Amenable Sparse Network Investigator. - Valentin Le Fèvre, Tetsuzo Usui, Marc Casas:
Optimization of the Sparse Multi-Threaded Cholesky Factorization for A64FX. - Michal Feldman, Vasilis Gkatzelis, Nick Gravin, Daniel Schoepflin:
Bayesian and Randomized Clock Auctions. - Roel I. J. Dobbe:
System Safety and Artificial Intelligence. - Evangelos Kafantaris, Tsz-Yan Milly Lo, Javier Escudero:
Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis. - Shao-Yuan Lo, Vishal M. Patel:
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation. - Breno M. F. Viana, Leonardo T. Pereira, Claudio Fabiano Motta Toledo:
Illuminating the Space of Dungeon Maps, Locked-door Missions and Enemy Placement Through MAP-Elites. - Bingbin Liu, Daniel Hsu, Pradeep Ravikumar, Andrej Risteski:
Masked prediction tasks: a parameter identifiability view. - Michael A. Rupp, Aman Behal:
Cyber Human Interaction. - Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar, Sergei Vassilvitskii:
Learning Predictions for Algorithms with Predictions. - Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda:
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder. - Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan:
DataMUX: Data Multiplexing for Neural Networks. - Jean-Baptiste Bouvier, Sai Pushpak Nandanoori, Melkior Ornik, Soumya Kundu:
Distributed Transient Safety Verification via Robust Control Invariant Sets: A Microgrid Application. - George Labahn, Vincent Neiger, Thi Xuan Vu, Wei Zhou:
Rank-Sensitive Computation of the Rank Profile of a Polynomial Matrix. - Bennet E. Meyers, Stephen P. Boyd:
Signal Decomposition Using Masked Proximal Operators. - Anj Simmons:
A reliability measure for smart surveillance systems. - Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu:
Learning Physics-Informed Neural Networks without Stacked Back-propagation. - Angelo Ferrando, Vadim Malvone:
Towards the Combination of Model Checking and Runtime Verification on Multi-Agent Systems. - Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani:
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. - Zhuomin Zhang, Elizabeth C. Mansfield, Jia Li, John Russell, George S. Young, Catherine Adams, James Z. Wang:
A Machine Learning Paradigm for Studying Pictorial Realism: Are Constable's Clouds More Real than His Contemporaries? - Nils Müller, Charalampos Ziras, Kai Heussen:
Assessment of Cyber-Physical Intrusion Detection and Classification for Industrial Control Systems. - Konstantin Mishchenko, Grigory Malinovsky, Sebastian U. Stich, Peter Richtárik:
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! - Jonathan M. Wheeler, Jacob N. Chamoun, Vinayak Dangui, Michel J. F. Digonnet:
Analytic Method for Estimating Aircraft Fix Displacement from Gyroscope's Allan-Deviation Parameters. - Yinhan Wang, Jiang Wang, Shipeng Fan:
Parameter Identification of a PN-Guided Incoming Missile Using an Improved Multiple-Model Mechanism. - Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial:
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey. - Maurizio D'Andrea:
Playing against no-regret players. - Stefan Reif, Phillip Raffeck, Luis Gerhorst, Wolfgang Schröder-Preikschat, Timo Hönig:
Migration-Based Synchronization. - Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer. - Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc Le, James Laudon:
Mixture-of-Experts with Expert Choice Routing. - Marco Bertolini, Djork-Arné Clevert, Floriane Montanari:
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations. - Yibing Du, Antoine Bosselut, Christopher D. Manning:
Synthetic Disinformation Attacks on Automated Fact Verification Systems. - Mingxuan Ju, Yujie Fan, Yanfang Ye, Liang Zhao:
Black-box Node Injection Attack for Graph Neural Networks. - Sourabh Balgi, Jose M. Peña, Adel Daoud:
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows. - Srinath Tankasala, Can Pehlivanturk, Efstathios Bakolas, Mitch Pryor:
Smooth time optimal trajectory generation for drones. - Leon Lang, Pierre Baudot, Rick Quax, Patrick Forré:
Information Decomposition Diagrams Applied beyond Shannon Entropy: A Generalization of Hu's Theorem. - Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani:
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. - Haojie Huang, Dian Wang, Robin Walters, Robert Platt:
Equivariant Transporter Network. - Ognjen Stanojev, Yi Guo, Petros Aristidou, Gabriela Hug:
Multiple Ancillary Services Provision by Distributed Energy Resources in Active Distribution Networks. - Xiao Li, Weili Wu, Tiantian Chen:
Blockchain Driven Privacy Preserving Contact Tracing Framework in COVID-19. - Minseok Ryu, Kibaek Kim:
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates. - (Withdrawn) Uniting Control and Data Parallelism: Towards Scalable Memory-Driven Dynamic Graph Processing.
- Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro:
Partitioning Dense Graphs with Hardware Accelerators. - Dingyang Chen, Yile Li, Qi Zhang:
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games. - Eugene Perevalov, Rick S. Blum, Xun Chen, Anthony R. Nigara:
Route Discovery and Capacity of Ad hoc Networks. - Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
iMARS: An In-Memory-Computing Architecture for Recommendation Systems. - Gengrui Zhang, Hans-Arno Jacobsen:
ESCAPE to Precaution against Leader Failures. - Asil Koç, Farhan Bishe, Tho Le-Ngoc:
Energy-Efficient Throughput Maximization in mmWave MU-Massive-MIMO-OFDM: Genetic Algorithm based Resource Allocation. - Jianping Zeng, Jongouk Choi, Xinwei Fu, Ajay Paddayuru Shreepathi, Dongyoon Lee, Changwoo Min, Changhee Jung:
Enabling Volatile Caches for Energy Harvesting Systems. - Jianping Zeng, Hongjune Kim, Jaejin Lee, Changhee Jung:
Lightweight Soft Error Resilience for In-Order Cores. - Maxwell A. Weinzierl, Sanda M. Harabagiu:
Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse. - Ming-Chang Chiu, Xuezhe Ma:
Learning Representations Robust to Group Shifts and Adversarial Examples. - Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati:
A Mental-Model Centric Landscape of Human-AI Symbiosis. - Maxwell A. Weinzierl, Sanda M. Harabagiu:
VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines. - Shervin Minaee, Xiaodan Liang, Shuicheng Yan:
Modern Augmented Reality: Applications, Trends, and Future Directions. - Simon Gabay, Pedro Javier Ortiz Suárez, Alexandre Bartz, Alix Chagué, Rachel Bawden, Philippe Gambette, Benoît Sagot:
From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French. - Jie Zhu, Ivana Tasic, Xiaobo Qu:
Flow-level Coordination of Connected and Autonomous Vehicles in Multilane Freeway Ramp Merging Areas. - Maxwell A. Weinzierl, Sanda M. Harabagiu:
From Hesitancy Framings to Vaccine Hesitancy Profiles: A Journey of Stance, Ontological Commitments and Moral Foundations. - Jie Zhu, Said M. Easa, Kun Gao:
Merging Control Strategies of Connected and Autonomous Vehicles at Freeway On-Ramps: A Comprehensive Review. - Huan Song, Zeng Dai, Panpan Xu, Liu Ren:
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning. - Adewale Adeyemo, Travis Sandefur, Tolulope A. Odetola, Syed Rafay Hasan:
Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence. - Farid Naghavi, Hamid A. Toliyat:
A Soft-Switching Single-Stage AC-DC Converter. - Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh:
Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data. - (Withdrawn) Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion.
- Mohamad Fazelnia, Igor Khokhlov, Mehdi Mirakhorli:
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems. - Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? - Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt:
Sample Efficient Grasp Learning Using Equivariant Models. - Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru:
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents. - Andrew Silva, Katherine Metcalf, Nicholas Apostoloff, Barry-John Theobald:
FedEmbed: Personalized Private Federated Learning. - Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh:
Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks. - Mukund Sundararajan, Walid Krichene:
Reciprocity in Machine Learning. - Chang Chen, Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn:
TransDreamer: Reinforcement Learning with Transformer World Models. - Rasika Bhalerao, Mohammad Al-Rubaie, Anand Bhaskar, Igor L. Markov:
Data-Driven Mitigation of Adversarial Text Perturbation. - Nicholas J. Teague:
Missing Data Infill with Automunge. - Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Suitability of Different Metric Choices for Concept Drift Detection. - Xingtong Liu, Zhaoshuo Li, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
SAGE: SLAM with Appearance and Geometry Prior for Endoscopy. - Kaijun Bao, Xu Qian, Ziyuan Liu, Haifeng Wang, Songhe Song:
Function-valued RKHS-based Operator Learning for Differential Equations. - Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran:
Shaping Advice in Deep Reinforcement Learning. - Xinpeng Liu, Yong-Lu Li, Cewu Lu:
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection. - Sheng-Ming Ma:
A New Type of Gröbner Basis and Its Complexity. - Takehiro Ito, Jun Kawahara, Shin-ichi Minato, Yota Otachi, Toshiki Saitoh, Akira Suzuki, Ryuhei Uehara, Takeaki Uno, Katsuhisa Yamanaka, Ryo Yoshinaka:
Sorting Balls and Water: Equivalence and Computational Complexity. - Nicholas J. Teague:
Numeric Encoding Options with Automunge. - Nicholas J. Teague:
Parsed Categoric Encodings with Automunge. - Shinji Hara, Chung-Yao Kao, Sei Zhen Khong, Tetsuya Iwasaki, Yutaka Hori:
Exact Instability Margin Analysis and Minimum Norm Strong Stabilization - phase change rate maximization -. - Zizhuo Zhang, Bang Wang:
Graph Spring Network and Informative Anchor Selection for Session-based Recommendation. - Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths. - Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin:
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion. - Kenan Tang:
PETCI: A Parallel English Translation Dataset of Chinese Idioms. - Xiongfei Zhao, Yain-Whar Si:
Dynamic Transaction Storage Strategies for a Sustainable Blockchain. - Xiongfei Zhao, Yain-Whar Si:
NFTCert: NFT-Based Certificates With Online Payment Gateway. - Manish Bhattarai, Namita Kharat, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov:
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data. - Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao:
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. - Shahaf S. Shperberg, Bo Liu, Peter Stone:
Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake. - Jitendra Singh Malik, Guansong Pang, Anton van den Hengel:
Deep Learning for Hate Speech Detection: A Comparative Study. - Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov:
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. - Elizabeth Anne Watkins, Michael McKenna, Jiahao Chen:
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness. - Yuqian Zhu, Ming Li, Yang Liu, Qian Liu, Zheng Chang, Yulin Hu:
DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks. - Rasika Bhalerao, Nora McDonald, Hanna Barakat, Vaughn Hamilton, Damon McCoy, Elissa M. Redmiles:
Ethics and Efficacy of Unsolicited Anti-Trafficking SMS Outreach. - Geonwoon Jang, Wooseok Lee, Sanghyun Son, Kyoung Mu Lee:
C2N: Practical Generative Noise Modeling for Real-World Denoising. - Haonan Sun, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng:
Improving the Level of Autism Discrimination through GraphRNN Link Prediction. - Shanshan Wang, Lei Zhang, Pichao Wang:
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective. - Yuecong Xu, Jianfei Yang, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu:
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study. - Abhinav Grover, Philippe Nadeau, Christopher Grebe, Jonathan Kelly:
Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Network. - Huayi Zhou, Fei Jiang, Hongtao Lu:
student dangerous behavior detection in school. - Rajesh Kumar Datta:
Implementing Boolean Functions with switching lattice networks. - Cem Cebeci:
A survey on making skylines more flexible. - Wei Liu, Cheng Chen, Rui Jiang, Tao Lu, Zixiang Xiong:
Holistic Attention-Fusion Adversarial Network for Single Image Defogging. - Rui Duan, Hui Deng, Mao Tian, Yichuan Deng, Jiarui Lin:
SODA: Site Object Detection dAtaset for Deep Learning in Construction. - Malte Rørmose Damgaard, Rasmus Pedersen, Thomas Bak:
A Probabilistic Programming Idiom for Active Knowledge Search. - (Withdrawn) HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks.
- Kehan Long, Vikas Dhiman, Melvin Leok, Jorge Cortés, Nikolay Atanasov:
Safe Control Synthesis with Uncertain Dynamics and Constraints. - Zhengqing Miao, Xin Zhang, Carlo Menon, Yelong Zheng, Meirong Zhao, Dong Ming:
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework. - Pauline Kergus, Ion Victor Gosea:
Data-driven approximation and reduction from noisy data in matrix pencil frameworks. - Cristian Ivan:
Bit-wise Training of Neural Network Weights. - Gabriel Turinici:
Diversity aware image generation. - Heecheol Kim, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi:
Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer. - Xuefeng Liang, Longshan Yao, Xingyu Liu, Ying Zhou:
Tripartite: Tackle Noisy Labels by a More Precise Partition. - Sanghyun Yoo, Ohyun Kwon, Hoshik Lee:
Image-to-Graph Transformers for Chemical Structure Recognition. - Laura Perez-Beltrachini, Mirella Lapata:
Models and Datasets for Cross-Lingual Summarisation. - Shiliang Zhang, Anton Hagermalm, Sanjin Slavnic:
An Evaluation of Open-source Tools for the Provision of Differential Privacy. - Mahmoud Aldababsa, Aymen Khaleel, Ertugrul Basar:
STAR-RIS-NOMA Networks: An Error Performance Perspective. - Rémi Carles, Chunmei Su:
Numerical study of the logarithmic Schrodinger equation with repulsive harmonic potential. - Ali Dorri, Clemence Roulin, Shantanu Pal, Sarah Baalbaki, Raja Jurdak, Salil S. Kanhere:
Device Identification in Blockchain-Based Internet of Things. - Erik Agrell, Bruce Allen:
On the best lattice quantizers. - Feihu Che, Guohua Yang, Pengpeng Shao, Dawei Zhang, Jianhua Tao:
MixKG: Mixing for harder negative samples in knowledge graph. - Breno M. F. Viana, Leonardo T. Pereira, Claudio Fabiano Motta Toledo:
Illuminating the Space of Enemies Through MAP-Elites. - Xiaogang Zhu:
A Galerkin FE method for elliptic optimal control problem governed by 2D space-fractional PDEs. - Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat:
Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory. - Shuguang Chen, Gustavo Aguilar, Anirudh Srinivasan, Mona T. Diab, Thamar Solorio:
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data. - Mario Alviano, Carmine Dodaro, Arnel Zamayla:
ValAsp: a tool for data validation in Answer Set Programming. - Yang Xu, Ronghao Zheng, Senlin Zhang, Meiqin Liu:
Confidence-rich Localization and Mapping based on Particle Filter for Robotic Exploration. - Manuela Pollak, Andrea Salfinger, Karin Anna Hummel:
Teaching Drones on the Fly: Can Emotional Feedback Serve as Learning Signal for Training Artificial Agents? - Wei Liu, Rui Jiang, Cheng Chen, Tao Lu, Zixiang Xiong:
An Unsupervised Attentive-Adversarial Learning Framework for Single Image Deraining. - Marius Bozga, Lucas Bueri, Radu Iosif:
Decision Problems in a Logic for Reasoning about Reconfigurable Distributed Systems. - Yuqi Liu, Qichao Zhang, Dongbin Zhao:
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. - Per R. Leikanger:
Navigating Conceptual Space; A new take on Artificial General Intelligence. - Scott C. Lowe, Louise P. McGarry, Jessica Douglas, Jason Newport, Sageev Oore, Christopher Whidden, Daniel J. Hasselman:
Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams. - Jiapeng Zhu, Yujun Shen, Yinghao Xu, Deli Zhao, Qifeng Chen:
Region-Based Semantic Factorization in GANs. - Kiyeon Kim, Seungyong Lee, Sunghyun Cho:
MSSNet: Multi-Scale-Stage Network for Single Image Deblurring. - Allen Liu, Mark Sellke:
The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication. - Ayoub Si-Ahmed, Mohammed Ali Al-Garadi, Boustia Narhimene:
Survey of Machine Learning Based Intrusion Detection Methods for Internet of Medical Things. - Mohammad Bahrami, Hamidreza Jafarnejadsani:
Detection of Stealthy Adversaries for Networked Unmanned Aerial Vehicles. - Farshid Faal, Ketra A. Schmitt, Jia Yuan Yu:
Reward Modeling for Mitigating Toxicity in Transformer-based Language Models. - Kinjal Patel, Steven L. Waslander:
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks. - Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou:
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning. - Md Umar Hashmi, Arpan Koirala, Rickard Lundholm, Hakan Ergun, Dirk Van Hertem:
Evaluation of voltage magnitude based unbalance metric for low voltage distribution networks. - Clelia De Felice:
Finite maximal codes and factorizations of cyclic groups. - Elliot Meyerson, Xin Qiu, Risto Miikkulainen:
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings). - George Kousiouris, Szymon Ambroziak, Domenico Costantino, Stylianos Tsarsitalidis, Evangelos Boutas, Alessandro Mamelli, Teta Stamati:
Combining Node-RED and Openwhisk for Pattern-based Development and Execution of Complex FaaS Workflows. - Jovan Blanusa, Paolo Ienne, Kubilay Atasu:
Scalable Fine-Grained Parallel Cycle Enumeration Algorithms. - Paul Zhang, Judy (Hsin-Hui) Chiang, Xinyi (Cynthia) Fan, Klara Mundilova:
Local Decomposition of Hexahedral Singular Nodes into Singular Curves. - Harshit Parmar, Jeffrey P. Williams:
Is there an aesthetic component of language? - Zhigao Guo, Anthony C. Constantinou:
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning. - Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, Thien Huu Nguyen:
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction. - Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen:
Punctuation Restoration. - Anabil Munshi, Gautam Biswas:
Analyzing Adaptive Scaffolds that Help Students Develop Self-Regulated Learning Behaviors. - Veronica Chelu, Diana Borsa, Doina Precup, Hado van Hasselt:
Selective Credit Assignment. - Lei Wang, Xinyun Liu, Ting Li, Jiandong Zhu:
On Matrix Method of Symmetric Games. - Richard S. Sutton:
A History of Meta-gradient: Gradient Methods for Meta-learning. - Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam:
MANet: Improving Video Denoising with a Multi-Alignment Network. - Amol Damare, Shouvik Roy, Scott A. Smolka, Scott D. Stoller:
Runtime-Assured, Real-Time Neural Control of Microgrids. - Jun Sur Richard Park, Xueyu Zhu:
Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equations. - Fei Liu, Entong Su, Jingpei Lu, Mingen Li, Michael C. Yip:
Differentiable Robotic Manipulation of Deformable Rope-like Objects Using Compliant Position-based Dynamics. - Yuqing Lan, Yao Duan, Chenyi Liu, Chenyang Zhu, Yueshan Xiong, Hui Huang, Kai Xu:
ARM3D: Attention-based relation module for indoor 3D object detection. - Lucas Nogueira, Ely Carneiro de Paiva, Geraldo Silvera:
Towards a Unified Approach to Homography Estimation Using Image Features and Pixel Intensities. - Soham Dan, Osbert Bastani, Dan Roth:
Understanding Robust Generalization in Learning Regular Languages. - Yasuaki Kobayashi, Shunsuke Nagano, Yota Otachi:
Finding shortest non-separating and non-disconnecting paths. - Lexing Ying:
Analytic continuation from limited noisy Matsubara data. - Yuqing Lan, Yao Duan, Yifei Shi, Hui Huang, Kai Xu:
3DRM: Pair-wise relation module for 3D object detection. - Zixuan Cao, Mengzhi Shi, Zhanbo Zhao, Xiujun Ma:
PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning. - Jakob Schöffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessie Finocchiaro, Marc Juarez:
Online Platforms and the Fair Exposure Problem Under Homophily. - Sandeep Avula, Bogeum Choi, Jaime Arguello:
The Effects of System Initiative during Conversational Collaborative Search. - Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. - Peng Wang, Renqin Cai, Hongning Wang:
Graph-based Extractive Explainer for Recommendations. - Lai Wang, Will Trojak, Freddie D. Witherden, Antony Jameson:
Nonlinear p-multigrid preconditioner for implicit time integration of compressible Navier-Stokes equations. - Ali Borji:
Overparametrization improves robustness against adversarial attacks: A replication study. - Meng-Hao Guo, Chengze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shimin Hu:
Visual Attention Network. - Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
PGE: Robust Product Graph Embedding Learning for Error Detection. - Xiaoxue Zhang, Jun Ma, Zilong Cheng, Masayoshi Tomizuka, Tong Heng Lee:
Velocity Obstacle Based Risk-Bounded Motion Planning for Stochastic Multi-Agent Systems. - Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation. - Semih Cayci, Niao He, R. Srikant:
Learning to Control Partially Observed Systems with Finite Memory. - Yuedong Xu, John C. S. Lui:
Multi-dimensional Network Security Game: How do attacker and defender battle on parallel targets? - He Meng, Hongjie Jia, Tao Xu, Wei Wei, Yuhan Wu, Lemeng Liang, Shuqi Cai, Zuozheng Liu, Rujing Wang:
Optimal configuration of cooperative stationary and mobile energy storage considering ambient temperature: A case for Winter Olympic Game. - Tao Xu, Lemeng Liang, Zuozheng Liu, Rujing Wang, Lingxu Guo:
Multi-objective Distributed Optimization for Zonal Distribution System with Multi-Microgrids. - Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, Hua Yang:
Dynamic Spatial Propagation Network for Depth Completion. - Octavian Machidon, Jani Asprov, Tine Fajfar, Veljko Pejovic:
Context-aware adaptation of mobile video decoding resolution. - Lige Ding, Dong Zhao, Zhaofeng Wang, Guang Wang, Chang Tan, Lei Fan, Huadong Ma:
Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach. - Martin Wistuba, Arlind Kadra, Josif Grabocka:
Dynamic and Efficient Gray-Box Hyperparameter Optimization for Deep Learning. - Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang:
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification. - Luping Liu, Yi Ren, Zhijie Lin, Zhou Zhao:
Pseudo Numerical Methods for Diffusion Models on Manifolds. - Stefano De Marchi, Federico Lot, Francesco Marchetti, Davide Poggiali:
Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications. - Sebastian Cassel:
Fast high-dimensional integration using tensor networks. - Youngmi Hur:
Tight Wavelet Filter Banks with Prescribed Directions. - Xiaojun Li, Alan Palazzolo:
Analysis and optimization of a novel energy storage flywheel for improved energy capacity. - Sixiao Zheng, Ke Fan, Yanxi Hou, Jianfeng Feng, Yanwei Fu:
Clustering by the Probability Distributions from Extreme Value Theory. - Guang Yang, Xiang Chen, Yanlin Zhou, Chi Yu:
DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning. - Abdelkrim Bencheikh, Lakhdar Chiter:
A new operational matrix based on Boubaker polynomials for solving fractional Emden-Fowler problem. - Suthee Ruangwises, Toshiya Itoh:
How to Physically Verify a Rectangle in a Grid: A Physical ZKP for Shikaku. - Ke Liu, Guang Yang, Xiang Chen, Chi Yu:
SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow. - Jiaoyan Chen, Yuan He, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks:
Contextual Semantic Embeddings for Ontology Subsumption Prediction. - Hanqi Yan, Lin Gui, Yulan He:
Hierarchical Interpretation of Neural Text Classification. - Ilkan Esiyok, Robert Künnemann, Pascal Berrang, Katriel Cohn-Gordon:
Accountable Javascript Code Delivery. - Musab G. Magam, Hussein Attia, Khurram Karim Qureshi, Sharif Iqbal Mitu Sheikh:
Microwave Sensing of Elemental Sulfur Deposition in Gas Pipelines. - Yi Li, David P. Woodruff:
Tight Bounds for Sketching the Operator Norm, Schatten Norms, and Subspace Embeddings. - Masayuki Tezuka, Keisuke Tanaka:
Redactable Signature with Compactness from Set-Commitment. - Pingping Zhang, Xu Wang, Linwei Zhu, Yun Zhang, Shiqi Wang, Sam Kwong:
Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection. - Andrew Cropper, Céline Hocquette:
Learning logic programs by discovering where not to search. - Masayuki Tezuka, Xiangyu Su, Keisuke Tanaka:
A t-out-of-n Redactable Signature Scheme. - Masayuki Tezuka, Keisuke Tanaka:
Improved Security Proof for the Camenisch-Lysyanskaya Signature-Based Synchronized Aggregate Signature Scheme. - Sarwar Hussain Paplu, Chinmaya Mishra, Karsten Berns:
Real-time Emotion Appraisal with Circumplex Model for Human-Robot Interaction. - Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo:
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. - Yitao Liu, Chenxin An, Xipeng Qiu:
Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning. - Vandana Kushwaha, Priya Shukla, Gora Chand Nandi:
Generating Quality Grasp Rectangle using Pix2Pix GAN for Intelligent Robot Grasping. - Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar:
Efficient Continual Learning Ensembles in Neural Network Subspaces. - Vladimir Ivashkin, Pavel Chebotarev:
Dissecting graph measure performance for node clustering in LFR parameter space. - Ang Li, Chao Shen, Xuewen Liao, Christos Masouros, A. Lee Swindlehurst:
Practical Interference Exploitation Precoding without Symbol-by-Symbol Optimization: A Block-Level Approach. - Suman Rath, Ioannis Zografopoulos, Pedro P. Vergara, Vassilis C. Nikolaidis, Charalambos Konstantinou:
Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems. - Sirui Chen, Keenon Werling, C. Karen Liu:
Real-time Model Predictive Control and System Identification Using Differentiable Physics Simulation. - Alexander Steen, David Fuenmayor, Tobias Gleißner, Geoff Sutcliffe, Christoph Benzmüller:
Automated Reasoning in Non-classical Logics in the TPTP World. - Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang:
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. - Sotirios Nikoloutsopoulos, Iordanis Koutsopoulos, Michalis K. Titsias:
Personalized Federated Learning with Exact Stochastic Gradient Descent. - Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen:
Cross-Task Knowledge Distillation in Multi-Task Recommendation. - Amol Salunkhe, Dwyer Deighan, Paul E. DesJardin, Varun Chandola:
ChemTab: A Physics Guided Chemistry Modeling Framework. - Xiangnan Yin, Liming Chen:
Non-Deterministic Face Mask Removal Based On 3D Priors. - Giovanni Lupi:
Multi-objective optimization: basic approaches and moving beyond them through flexible skyline queries. - Tobias Baumann:
Cooperative Artificial Intelligence. - Scott McLachlan:
How might Driver Licensing and Vehicle Registration evolve if we adopt Autonomous Cars and Digital Identification? - Richard Schumi, Jun Sun:
ExAIS: Executable AI Semantics. - Alin Albu-Schäffer, Arne Sachtler:
Quasi-Orthogonal Foliations of the Configuration Space - A Redundancy Resolution Approach at Position Level. - Kathrin Smetana, Tommaso Taddei:
Localized model reduction for nonlinear elliptic partial differential equations: localized training, partition of unity, and adaptive enrichment. - Haoyu Liu, Paul Patras:
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks. - Alejandra Valencia, A. M. Ishtiaque Mahbub, Andreas A. Malikopoulos:
Performance Analysis of Optimally Coordinated Connected and Automated Vehicles in a Mixed Traffic Environment. - Vikraman Arvind, Pushkar S. Joglekar:
On Efficient Noncommutative Polynomial Factorization via Higman Linearization. - Ruoqi Shen, Liyao Gao, Yi-An Ma:
On Optimal Early Stopping: Over-informative versus Under-informative Parametrization. - Aravind Sankaran, Navid Akbari Alashti, Christos Psarras, Paolo Bientinesi:
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch. - Radoslaw Kotaba, Roope Vehkalahti, Cedomir Stefanovic, Olav Tirkkonen, Petar Popovski:
Deterministic Patterns for Multiple Access in Latency-Constrained Ultra-Reliable Communications. - Tuan Le, Frank Noé, Djork-Arné Clevert:
Equivariant Graph Attention Networks for Molecular Property Prediction. - Michelle Ho, Alec Farid, Anirudha Majumdar:
Comparing the Complexity of Robotic Tasks. - Qingxiao Zheng, Yiliu Tang, Yiren Liu, Weizi Liu, Yun Huang:
UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Library. - David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Hybinette Balch:
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. - Imanol Garcia-Beristain, Lakhdar Remaki:
Adomian Decomposition Based Numerical Scheme for Flow Simulations. - Ella Bar-Or, Tom Regev, Paz Shaviv, Noam Tractinsky:
Towards a Sociolinguistics-Based Framework for the Study of Politeness in Human-Computer Interaction. - Steven Kelk, Simone Linz, Ruben Meuwese:
Cyclic generators and an improved linear kernel for the rooted subtree prune and regraft distance. - Yu-Hua Chen, Wen-Yi Hsiao, Tsu-Kuang Hsieh, Jyh-Shing Roger Jang, Yi-Hsuan Yang:
towards automatic transcription of polyphonic electric guitar music: a new dataset and a multi-loss transformer model. - Dmitry Khomchenko, Sai Kireet Patri, Achim Autenrieth, Carmen Mas Machuca, André Richter:
Transmission-Aware Bandwidth Variable Transceiver Allocation in DWDM Optical Networks. - Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymani, Hamid R. Rabiee:
SOInter: A Novel Deep Energy Based Interpretation Method for Explaining Structured Output Models. - Mete Ahishali, Serkan Kiranyaz, Iftikhar Ahmad, Moncef Gabbouj:
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection. - François Ollivier:
Extending Flat Motion Planning to Non-flat Systems. Experiments on Aircraft Models Using Maple. - Jaehoon Cha, Jeyan Thiyagalingam:
Disentangling Autoencoders (DAE). - Moe Kayali, Chi Wang:
Mining Robust Default Configurations for Resource-constrained AutoML. - Justin Kottinger, Shaull Almagor, Morteza Lahijanian:
Conflict-Based Search for Explainable Multi-Agent Path Finding. - Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran:
Deconstructing Distributions: A Pointwise Framework of Learning. - Mohsen Heidari, Achilleas Anastasopoulos, S. Sandeep Pradhan:
Upper Bounds on the Feedback Error Exponent of Channels With States and Memory. - Alexis E. Block, Hasti Seifi, Otmar Hilliges, Roger Gassert, Katherine J. Kuchenbecker:
In the Arms of a Robot: Designing Autonomous Hugging Robots with Intra-Hug Gestures. - Yiwei Lyu, Wenhao Luo, John M. Dolan:
Adaptive Safe Merging Control for Heterogeneous Autonomous Vehicles using Parametric Control Barrier Functions. - Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger:
Generative Target Update for Adaptive Siamese Tracking. - Mohsen Zand, Haleh Damirchi, Andrew Farley, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad:
Multiscale Crowd Counting and Localization By Multitask Point Supervision. - Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang:
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation. - Tao Wang, Jiangyan Yi, Ruibo Fu, Jianhua Tao, Zhengqi Wen:
CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing. - Jihong Xiao, Zimo Zhu, Xiaoping Xie:
Semi-discrete and fully discrete weak Galerkin finite element methods for a quasistatic Maxwell viscoelastic model. - Jun Wang:
A wonderful triangle in compressed sensing. - Yongjun Zhang, Siyuan Zou, Xinyi Liu, Xu Huang, Yi Wan, Yongxiang Yao:
LiDAR-guided Stereo Matching with a Spatial Consistency Constraint. - Chao Lv, Han Zhang, Xinkai Du, Yunhao Zhang, Ying Huang, Wenhao Li, Jia Han, Shanshan Gu:
StyleBERT: Chinese pretraining by font style information. - Somenath Chakraborty, Dia Ali, Beddhu Murali:
A Novel Distributed Database Architectural Model for Mobile Cloud Computing. - Ruqayya Awan, Shan-E-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot:
Deep Feature based Cross-slide Registration. - Takazumi Matsumoto, Wataru Ohata, Fabien C. Y. Benureau, Jun Tani:
Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments. - Ke Sun, Stephen Chaves, Paul Martin, Vijay Kumar:
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics. - Yoshihiro Yamazaki, Shota Orihashi, Ryo Masumura, Mihiro Uchida, Akihiko Takashima:
Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations. - Lakshmi Prasad Natarajan, Prasad Krishnan:
Berman Codes: A Generalization of Reed-Muller Codes that Achieve BEC Capacity. - Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu:
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. - Quanling Deng:
Isogeometric Analysis of Bound States of a Quantum Three-Body Problem in 1D. - Shuhao Cao, Long Chen, Ruchi Guo:
Immersed Virtual Element Methods for Maxwell Interface Problems in Three Dimensions. - Eric Balkanski, Oussama Hanguir, Shatian Wang:
Learning Low Degree Hypergraphs. - Sujoy Bhore, Arnold Filtser, Hadi Khodabandeh, Csaba D. Tóth:
Online Spanners in Metric Spaces. - Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati:
Transferring Adversarial Robustness Through Robust Representation Matching. - Forouzan Fallah, Amin Ramezani, Ali Mehrizi-Sani:
Integrated Fault Diagnosis and Control Design for DER Inverters using Machine Learning Methods. - Qiuhao Zeng, Tianze Luo, Boyu Wang:
Domain-Augmented Domain Adaptation. - Heejeong Choi, Subin Kim, Pilsung Kang:
Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection. - Joonwoo Ahn, Minsoo Kim, Jaeheung Park:
Vision-based Autonomous Driving for Unstructured Environments Using Imitation Learning. - Elias Javier Garcia Claro, I. S. Gutiérrez:
On Grid Codes. - Shuqing Shi, Xiaobin Wang, Zhiyou Yang, Fan Zhang, Hong Qu:
Double Thompson Sampling in Finite stochastic Games. - Aiping Xiong, Chuhao Wu, Tianhao Wang, Robert W. Proctor, Jeremiah Blocki, Ninghui Li, Somesh Jha:
Using Illustrations to Communicate Differential Privacy Trust Models: An Investigation of Users' Comprehension, Perception, and Data Sharing Decision. - Deepthi Amuru, Harsha V. Vudumula, Pavan K. Cherupally, Sushanth R. Gurram, Amir Ahmad, Andleeb Zahra, Zia Abbas:
AI/ML Algorithms and Applications in VLSI Design and Technology. - Vamoua Yachongka, Hideki Yagi, Yasutada Oohama:
Secret Key-based Authentication With Passive Eavesdropper for Scalar Gaussian Sources. - Ismot Sadik Peyas, Zahid Hasan, Md. Rafat Rahman Tushar, Al Musabbir, Raisa Mehjabin Azni, Shahnewaz Siddique:
Autonomous Warehouse Robot using Deep Q-Learning. - Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
AVQVC: One-shot Voice Conversion by Vector Quantization with applying contrastive learning. - Levent Aksoy, Alexander Hepp, Johanna Baehr, Samuel Pagliarini:
Hardware Obfuscation of Digital FIR Filters. - Yong Lai, Kuldeep S. Meel, Roland H. C. Yap:
CCDD: A Tractable Representation for Model Counting and Uniform Sampling. - Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin:
Toward more generalized Malicious URL Detection Models. - Jie Gao, Mayank Goswami, Karthik C. S., Meng-Tsung Tsai, Shih-Yu Tsai, Hao-Tsung Yang:
Obtaining Approximately Optimal and Diverse Solutions via Dispersion. - Yutaka Shimizu, Takamasa Horibe, Fumiya Watanabe, Shinpei Kato:
Jerk Constrained Velocity Planning for an Autonomous Vehicle: Linear Programming Approach. - Zhenxin Wu, Jiazheng Gong, Kecen Guo, Guanye Liang, Qingliang Chen, Bo Liu:
Domain-level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification. - Angelo D'Ambrosio, Hajo Grundmann, Tjibbe Donker:
An open-source integrated framework for the automation of citation collection and screening in systematic reviews. - Ghazaleh Ghorbanzadeh, Zahra Nabizadeh, Nader Karimi, Pejman Khadivi, Ali Emami, Shadrokh Samavi:
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection. - Hyogo Hiruma, Hiroki Mori, Tetsuya Ogata:
Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Information for Robot Pose Prediction. - Alvin Chen, N. Sukumar:
Stabilization-free virtual element method for plane elasticity. - Xuemeng Zhou, Zhiyu Yang, Tianyi Zhang, Yi Jiang:
Channel Estimation and Projection for RIS-assisted MIMO Using Zadoff-Chu Sequences. - Ritukesh Bharali, Fredrik Larsson, Ralf Jänicke:
Phase-field fracture irreversibility using the slack variable approach. - Mária Lukácová-Medvidová, Philipp Öffner:
Convergence of Discontinuous Galerkin Schemes for the Euler Equations via Dissipative Weak Solutions. - Ravi Suman, Ananth Krishnamurthy:
Analysis of Two-Station Polling Queues with Setups using Continuous Time Markov Chain. - Jaehyun Park, Chansoo Kim, Kichun Jo:
PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network. - Yu Du, Jiwei Zhang:
On perfectly matched layers of nonlocal wave equations in unbounded multi-scale media. - Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, Percy Liang:
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. - Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov:
CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. - Pablo Gil Pereira, Thorsten Herfet:
Polar Coding for Efficient Transport Layer Multicast. - Jonas Belouadi, Steffen Eger:
USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation. - Timothy Shin Heng Mak, Albert Y. S. Lam:
Two-Stage Auction Mechanism for Long-Term Participation in Crowdsourcing. - Donghoon Shin, Subeen Park, Esther Hehsun Kim, Soomin Kim, Jinwook Seo, Hwajung Hong:
Exploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community. - Kheng-Leong Tan, Chi-Hung Chi, Kwok-Yan Lam:
Analysis of Digital Sovereignty and Identity: From Digitization to Digitalization. - V. Jain, Artur Palha, Marc Gerritsma:
Use of algebraic dual representations in domain decomposition methods for Darcy flow in 3D domain. - Constantine Doumanidis, Prashant Hari Narayan Rajput, Michail Maniatakos:
ICSML: Industrial Control Systems Machine Learning inference framework natively executing on IEC 61131-3 languages. - Ben Nassi, Jacob Shams, Raz Ben-Netanel, Yuval Elovici:
bAdvertisement: Attacking Advanced Driver-Assistance Systems Using Print Advertisements. - Özgecan Özdogan, Emil Björnson:
Massive MIMO with Dual-Polarized Antennas. - Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam:
Point Cloud Denoising via Momentum Ascent in Gradient Fields. - Weiqi Hua, Ying Chen, Meysam Qadrdan, Jing Jiang, Hongjian Sun, Jianzhong Wu:
Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review. - Raoul Schönhof, Jannes Elstner, Radu Manea, Steffen Tauber, Ramez Awad, Marco F. Huber:
Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder. - Anish Das, Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo:
Enabling On-Device Smartphone GPU based Training: Lessons Learned. - Lisa Langnickel, Alexander Schulz, Barbara Hammer, Juliane Fluck:
BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based Models. - Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan:
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. - Pablo Gil Pereira, Thorsten Herfet:
Reducing FEC-Complexity in Cross-Layer Predictable Data Communication. - Jaemin Yoo, Sooyeon Shim, U Kang:
Model-Agnostic Augmentation for Accurate Graph Classification. - Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao:
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond. - Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin:
A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation. - Behnam Shariati, Luis Velasco, Jose-Juan Pedreno-Manresa, Annika Dochhan, Ramon Casellas, Abubakar Siddique Muqaddas, Óscar González de Dios, Lourdes Luque Canto, Bodo Lent, Jorge E. López de Vergara, Sergio López-Buedo, Francisco Javier Moreno, Pablo Pavón, Marc Ruiz, Sai Kireet Patri, Alessio Giorgetti, Filippo Cugini, Andrea Sgambelluri, Reza Nejabati, Dimitra Simeonidou, Ralf-Peter Braun, Achim Autenrieth, Jörg-Peter Elbers, Johannes K. Fischer, Ronald Freund:
Demonstration of latency-aware 5G network slicing on optical metro networks. - Jan Balaguer, Raphael Koster, Ari Weinstein, Lucy Campbell-Gillingham, Christopher Summerfield, Matthew M. Botvinick, Andrea Tacchetti:
HCMD-zero: Learning Value Aligned Mechanisms from Data. - Zeyu Zhu, Huijing Zhao:
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections. - Jian Zhao, Mingyu Yang, Xunhan Hu, Wengang Zhou, Houqiang Li:
DQMIX: A Distributional Perspective on Multi-Agent Reinforcement Learning. - Jan Balaguer, Raphael Koster, Christopher Summerfield, Andrea Tacchetti:
The Good Shepherd: An Oracle Agent for Mechanism Design. - Han Liu, Michelle K. Sigona, Thomas J. Manuel, Li Min Chen, Charles F. Caskey, Benoit M. Dawant:
Synthetic CT Skull Generation for Transcranial MR Imaging-Guided Focused Ultrasound Interventions with Conditional Adversarial Networks. - Zvi Kons, Aharon Satt, Hong-Kwang Kuo, Samuel Thomas, Boaz Carmeli, Ron Hoory, Brian Kingsbury:
A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets. - Rui Kang, Hongzhi Wang:
Dynamic Relation Repairing for Knowledge Enhancement. - Dominique Duval, Rachid Echahed, Frédéric Prost:
A Rule-based Operational Semantics of Graph Query Languages. - Mengyuan Chen, Yan Zhang, Zhang Zhang, Lun Du, Jiang Zhang:
Inferring Network Structure with Unobservable Nodes from Time Series Data. - Reema Deori, Ankur A. Kulkarni:
Information Revelation Through Signalling. - Alihan Hüyük, William R. Zame, Mihaela van der Schaar:
Inferring Lexicographically-Ordered Rewards from Preferences. - Markus Zopf:
1-WL Expressiveness Is (Almost) All You Need. - Carmen Chan-Zheng, Pablo Borja, Jacquelien M. A. Scherpen:
Tuning of passivity-based controllers for mechanical systems. - Shao Zhang, Yuting Jia, Hui Xu, Ying Wen, Dakuo Wang, Xinbing Wang:
DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance. - Marco Fabris, Angelo Cenedese:
Distributed Strategies for Dynamic Coverage with Limited Sensing Capabilities. - Pedro Sanchez, Sotirios A. Tsaftaris:
Diffusion Causal Models for Counterfactual Estimation. - Cristiano Pegoraro Chenet, Alessandro Savino, Stefano Di Carlo:
Using analog scrambling circuits for automotive sensor integrity and authenticity. - Nipuni Hewage, Dulani Meedeniya:
Machine Learning Operations: A Survey on MLOps Tool Support. - W. Steven Gray:
Entropy of Generating Series for Nonlinear Input-Output Systems and Their Interconnections. - Zhijun Wang, Kazumune Hashimoto, Wataru Hashimoto, Shigemasa Takai:
A Lifting Approach to Learning-Based Self-Triggered Control with Gaussian Processes. - Suvidha Tripathi, Satish Kumar Singh:
Cell nuclei classification in histopathological images using hybrid OLConvNet. - Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo Jr.:
Formal Analysis of the Sampling Behaviour of Stochastic Event-Triggered Control. - Lauri Hella, Miikka Vilander:
Defining long words succinctly in FO and MSO. - Huy Truong Dinh, Dongwan Kim, Daehee Kim:
MILP-based optimal day-ahead scheduling for system-centric CEMS supporting different types of homes and energy trading. - Matthew Siper, Ahmed Khalifa, Julian Togelius:
Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset. - Goran R. Petrovic, Jouni Mattila:
Analytic Solutions for Wheeled Mobile Manipulator Supporting Forces. - Ying Bian, Peng Zhang, Jingjing Wang, Chunmao Wang, Shiliang Pu:
Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing. - Frank Gurski, Dominique Komander, Marvin Lindemann:
Efficient computation of oriented vertex and arc colorings of special digraphs. - Marco Fabris, Angelo Cenedese, John Hauser:
Optimal Time-Invariant Formation Tracking for a Second-Order Multi-Agent System. - Alexander Lindermayr, Nicole Megow:
Non-Clairvoyant Scheduling with Predictions Revisited. - Fernando Amodeo, Fernando Caballero, Natalia Díaz Rodríguez, Luis Merino:
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics. - Marco Fabris, Giulia Michieletto, Angelo Cenedese:
On the Distributed Estimation from Relative Measurements: a Graph-Based Convergence Analysis. - Dong Gong, Qingsen Yan, Yuhang Liu, Anton van den Hengel, Qinfeng (Javen) Shi:
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. - Erin C. Carson, Noaman Khan:
Mixed Precision Iterative Refinement with Sparse Approximate Inverse Preconditioning. - Qian Ren, Yingjun Wu, Yue Li, Han Liu, Hong Lei, Lei Wang, Bangdao Chen:
TENET: Towards Self-sovereign and Fair Multi-party Computation Ecology Empowered by Decentralized TEE Network. - Vineet Kumar, Suresh Sundaram:
Offline Text-Independent Writer Identification based on word level data. - Seira Hidano, Takao Murakami:
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy. - Giulia Ferrandi, Michiel E. Hochstenbach, Natasa Krejic:
A harmonic framework for stepsize selectionin gradient methods. - Olivier Beaumont, Lionel Eyraud-Dubois, Mathieu Vérité, Julien Langou:
I/O-Optimal Algorithms for Symmetric Linear Algebra Kernels. - Flávio Nakasato Cação, Anna Helena Reali Costa, Natalie Unterstell, Liuca Yonaha, Taciana Stec, Fábio Ishisaki:
Tracking environmental policy changes in the Brazilian Federal Official Gazette. - Sao Mai Nguyen, Nicolas Duminy, Alexandre Manoury, Dominique Duhaut, Cédric Buche:
Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning. - Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. - Wei Wang, Loai Danial, Eric Herbelin, Barak Hoffer, Batel Oved, Tzofnat Greenberg-Toledo, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky:
Physical based compact model of Y-Flash memristor for neuromorphic computation. - Lesya Baudoin, Anne Glanard, Abdelghani Maddi, Wilfriedo Mescheba, Frederique Sachwald:
Analyse scientométrique du domaine de l'infectiologie de 2000 à 2020. - Yang Shi, Young-joo Chung:
Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization. - Anna Clarke, Per-Olof Gutman:
A Dynamic Model of a Skydiver With Validation in Wind Tunnel and Free Fall. - Honglong Chen, Zhe Li, Zhu Wang, Zhichen Ni, Junjian Li, Ge Xu, Abdul Aziz, Feng Xia:
Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation. - Qingsong Zhao, Zhipeng Zhou, Shuguang Dou, Yangguang Li, Rui Lu, Yin Wang, Cairong Zhao:
Rethinking the Zigzag Flattening for Image Reading. - Zhu Wang, Honglong Chen, Zhe Li, Kai Lin, Nan Jiang, Feng Xia:
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation. - Chloé Saigre-Tardif, Philipp del Hougne:
A self-adaptive RIS that estimates and shapes fading rich-scattering wireless channels. - Xingye Chen, Yiqi Wu, Wenjie Xu, Jin Li, Huaiyi Dong, Yilin Chen:
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling. - Hans-Joachim Böckenhauer, Fabian Frei, Silvan Horvath:
Priority Algorithms with Advice for Disjoint Path Allocation Problems. - Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra, Priya Goyal, Matthijs Douze:
A Self-Supervised Descriptor for Image Copy Detection. - Walter Cedric Simo Tao Lee:
A variational technique of mollification applied to backward heat conduction problems. - Nico Pietroni, Corentin Dumery, Raphael Guenot-Falque, Mark Liu, Teresa A. Vidal-Calleja, Olga Sorkine-Hornung:
Computational Pattern Making from 3D Garment Models. - Miguel A. Ramirez, Song-Kyoo Kim, Hussam M. N. Al Hamadi, Ernesto Damiani, Young-Ji Byon, Tae-Yeon Kim, Chung-Suk Cho, Chan Yeob Yeun:
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey. - Song-Ren Wang, Hong-Yang Shih, Zheng-Yi Shen, Wen-Kai Tai:
End-to-End High Accuracy License Plate Recognition Based on Depthwise Separable Convolution Networks. - Yujie Gu, Sonata Akao, Navid Nasr Esfahani, Ying Miao, Kouichi Sakurai:
On the Information-theoretic Security of Combinatorial All-or-nothing Transforms. - Hironori Murase, Kenji Fukumizu:
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables. - Mikolaj Malkinski, Jacek Mandziuk:
A Review of Emerging Research Directions in Abstract Visual Reasoning. - Anjith George, David Geissbühler, Sébastien Marcel:
A Comprehensive Evaluation on Multi-channel Biometric Face Presentation Attack Detection. - Alexandre Diniz Costa, Mateus Coutinho Marim, Ely Edison da Silva Matos, Tiago Timponi Torrent:
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet. - Danny Merkx, Stefan L. Frank, Mirjam Ernestus:
Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge. - Souvik Sur:
Single-Query Verifiable Proof-of-Sequential-Work. - Robert Schenck, Ola Rønning, Troels Henriksen, Cosmin E. Oancea:
AD for an Array Language with Nested Parallelism. - Jiong Wang, Zhou Zhao, Weike Jin, Xinyu Duan, Zhen Lei, Baoxing Huai, Yiling Wu, Xiaofei He:
VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation. - Minghui Liao, Zhisheng Zou, Zhaoyi Wan, Cong Yao, Xiang Bai:
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion. - Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks. - Ahmed Abdou, Ryan Sheatsley, Yohan Beugin, Tyler J. Shipp, Patrick D. McDaniel:
HoneyModels: Machine Learning Honeypots. - Alexander Breuer, Alexander Heinecke:
Next-Generation Local Time Stepping for the ADER-DG Finite Element Method. - Anthony Ramirez, Vyron Vellis:
Time complexity of the Analyst's Traveling Salesman algorithm. - Leonardo Bonati, Michele Polese, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia:
OpenRAN Gym: An Open Toolbox for Data Collection and Experimentation with AI in O-RAN. - Reena Zelenkova, Jack Swallow, M. A. P. Chamikara, Dongxi Liu, Mohan Baruwal Chhetri, Seyit Camtepe, Marthie Grobler, Mahathir Almashor:
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches. - Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu:
AF2: Adaptive Focus Framework for Aerial Imagery Segmentation. - Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li:
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. - Davide Poggiali, Diego Cecchin, Stefano De Marchi:
Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach. - Yang Lu, Qifan Chen, Simon K. Poon:
A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining. - Hari Prasad, Akhil Goyal, Shivram Ramasubramanian:
Manage risks in complex engagements by leveraging organization-wide knowledge using Machine Learning. - Andreas C. Bueff, Ioannis Papantonis, Auste Simkute, Vaishak Belle:
Explainability in Machine Learning: a Pedagogical Perspective. - Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham, Thanh Thi Nguyen, Zhu Han, Dong-Seong Kim:
Artificial Intelligence for the Metaverse: A Survey. - Yuntian Chen, Dongxiao Zhang:
Integration of knowledge and data in machine learning. - Shiye Zhao, Kaoru Ota, Mianxiong Dong:
UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operations. - Xiangjie Kong, Kailai Wang, Mingliang Hou, Feng Xia, Gour C. Karmakar, Jianxin Li:
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. - Quanyi Li, Zhenghao Peng, Bolei Zhou:
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. - Leonard Bruns, Patric Jensfelt:
On the Evaluation of RGB-D-based Categorical Pose and Shape Estimation. - Kenneth Leerbeck, Peder Bacher, Christian Heerup, Henrik Madsen:
Estimation of Evaporator Valve Sizes in Supermarket Refrigeration Cabinets. - Lionel Blatter, Nikolai Kosmatov, Virgile Prevosto, Pascale Le Gall:
Certified Verification of Relational Properties. - Rui M. P. Almeida, José C. M. Duque, Jorge Ferreira, Willian S. Panni:
Mixed finite element method for a beam equation with the p-biharmonic operator. - Sounak Kar, Bastian Alt, Heinz Koeppl, Amr Rizk:
PAQMAN: A Principled Approach to Active Queue Management. - Michel Barbeau, Joaquín García-Alfaro:
Cyber-Physical Defense in the Quantum Era. - Jiaxiang Ren, Kicheon Park, Yingtian Pan, Haibin Ling:
Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography. - Reza Aghazadeh Ayoubi, Umberto Spagnolini:
Performance of dense wireless networks in 5G and beyond using stochastic geometry. - Yuancheng Zhou:
Solving Stochastic Optimization by Newton-type methods with Dimension-Adaptive Sparse Grid Quadrature. - Felix Weitkämper:
Statistical Relational Artificial Intelligence with Relative Frequencies: A Contribution to Modelling and Transfer Learning across Domain Sizes. - Cato Pauling, Michael Gimson, Muhammed Qaid, Ahmad Kida, Basel Halak:
A Tutorial on Adversarial Learning Attacks and Countermeasures. - Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song:
Rule Mining over Knowledge Graphs via Reinforcement Learning. - Curtis Bechtel, Shaddin Dughmi, Neel Patel:
Delegated Pandora's box. - Souvik Sur:
Generating Hard Problems of Cellular Automata. - Ryan Sheatsley, Matthew Durbin, Azaree Lintereur, Patrick D. McDaniel:
Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations. - Yisu Remy Wang, Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu:
Optimizing Recursive Queries with Program Synthesis. - Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu:
GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis. - Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang:
Vision-Language Pre-Training with Triple Contrastive Learning. - Mohammad Aamir Sohail, Touheed Anwar Atif, S. Sandeep Pradhan, Arun Padakandla:
Unified approach for computing sum of sources over CQ-MAC. - Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable:
Learning Behavioral Soft Constraints from Demonstrations. - Emils Kadikis, Vaibhav Srivastav, Roman Klinger:
Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference. - Anne Kreuter, Kai Sassenberg, Roman Klinger:
Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users. - Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen:
Composite Anomaly Detection via Hierarchical Dynamic Search. - Kayo Yin, Graham Neubig:
Interpreting Language Models with Contrastive Explanations. - Lianfeng Yu, Zhaokun Jing, Yuchao Yang, Yaoyu Tao:
Fast and Scalable Memristive In-Memory Sorting with Column-Skipping Algorithm. - Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. - Saeid Amiri, Kishan Chandan, Shiqi Zhang:
Reasoning with Scene Graphs for Robot Planning under Partial Observability. - Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. - Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont:
Survey on Large Scale Neural Network Training. - Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang:
Discovering Affinity Relationships between Personality Types. - Ting Bai, Alexander Johansson, Shaoyuan Li, Jonas Mårtensson:
A Pricing Rule for Third-Party Platoon Coordination Service Provider. - Ronnie Edson de Souza Santos, Paul Ralph:
A Grounded Theory of Coordination in Remote-First and Hybrid Software Teams. - Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash:
EINNs: Epidemiologically-Informed Neural Networks. - Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le:
Transformer Quality in Linear Time. - Aravind Sivakumar, Kenneth Shaw, Deepak Pathak:
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube. - Kushal Kedia, Rajat Kumar Jenamani, Aritra Hazra, Partha Pratim Chakrabarti:
Optimal Multi-Agent Path Finding for Precedence Constrained Planning Tasks. - Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht:
A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. - Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad:
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. - Viraj Kulkarni, Sanjesh Pawale, Amit Kharat:
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs. - Phoebe Chua, Dimos Makris, Dorien Herremans, Gemma Roig, Kat Agres:
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses. - Qinghao Zhang, Miao Ye, Hongbing Qiu, Yong Wang, Xiaofang Deng:
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network. - Mieczyslaw A. Klopotek:
A Clustering Preserving Transformation for k-Means Algorithm Output. - Yoo Jeong Ha, Gusang Lee, Minjae Yoo, Soyi Jung, Seehwan Yoo, Joongheon Kim:
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset. - Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq:
Towards technological adaptation of advanced farming through AI, IoT, and Robotics: A Comprehensive overview. - Dongqi Wang, Shengyu Zhang, Zhipeng Di, Xin Lin, Weihua Zhou, Fei Wu:
A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation. - Yanwu Yang, Panyu Zhai:
Click-Through Rate Prediction in Online Advertising: A Literature Review. - Youssef Diouane, Aurélien Lucchi, Vihang Patil:
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. - Alex C. Fish, Daniel R. Reynolds:
Adaptive time step control for infinitesimal multirate methods. - Manuele Barraco, Matteo Stefanini, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara:
CaMEL: Mean Teacher Learning for Image Captioning. - Tohid Khalili, Ali Bidram, Janie M. Chermak:
Demand and Price Fluctuations Effect on Risk and Profit of Single and Clustered Microgrids during COVID-19 Pandemic. - Giuseppe Montanaro:
Flexible Skylines: Customizing Skyline Queries Catching Desired Preferences. - Hanxuan Wang, Na Lu, Qinyang Liu:
Self-Evolutionary Clustering. - Rezaur Rahman, Samiul Hasan:
Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using a Graph Convolutional Neural Network. - Christopher Mühl, Franziska Boenisch:
Personalized PATE: Differential Privacy for Machine Learning with Individual Privacy Guarantees. - S. Sandra Bae, Clement Zheng, Mary Etta West, Ellen Yi-Luen Do, Samuel Huron, Danielle Albers Szafir:
Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization. - Andrew Wood, Moshik Hershcovitch, Daniel G. Waddington, Sarel Cohen, Peter Chin:
Non-Volatile Memory Accelerated Posterior Estimation. - Beomsu Kim, Junghoon Seo:
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness. - Kristof Pusztai:
A Probabilistic Approach to The Perfect Sum Problem. - Francisco J. Soulignac, Pablo Terlisky:
Loop unrolling of UCA models: distance labeling. - Matthew Ferland, Vikram Kher:
NP-Hardness of a 2D, a 2.5D, and a 3D Puzzle Game. - Martí Anglada, Enrique de Lucas, Joan-Manuel Parcerisa, Juan L. Aragón, Antonio González:
Dynamic Sampling Rate: Harnessing Frame Coherence in Graphics Applications for Energy-Efficient GPUs. - Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks. - Priyabrata Parida, Harpreet S. Dhillon:
Cell-Free Massive MIMO with Finite Fronthaul Capacity: A Stochastic Geometry Perspective. - Bibhas Sharma, Ishan Karunanayake, Rahat Masood, Muhammad Ikram:
Analysing Security and Privacy Threats in the Lockdown Periods of COVID-19 Pandemic: Twitter Dataset Case Study. - François Homps, Yohan Beugin, Romain Vuillemot:
ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes. - Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. - Priyabrata Parida, Harpreet S. Dhillon:
Multilayer Random Sequential Adsorption. - Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Grétar Tryggvason:
Communication-Efficient Algorithms for Solving Pressure Poisson Equation for Multiphase Flows using Parallel Computers. - Alexis J. Vallarella, Hernan Haimovich:
Linking stability of nonlinear sampled-data systems and their continuous-time limits. - Bronislav Yasinnik:
Imbalanced Classification via Explicit Gradient Learning From Augmented Data. - Ping Hu, Saeed Boorboor, Joseph Marino, Arie E. Kaufman:
Geometry-Aware Planar Embedding of Treelike Structures. - Weina Jin, Xiaoxiao Li, Mostafa Fatehi, Ghassan Hamarneh:
Guidelines and evaluation for clinical explainable AI on medical image analysis. - Arthur Vilhelm, Matthieu Limbert, Clément Audebert, Tugdual Ceillier:
Ensemble Learning techniques for object detection in high-resolution satellite images. - Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Seok-Geun Oh, Seok-Woo Son, Kijung Shin:
Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimation. - Wei Wayne Chen, Doksoo Lee, Oluwaseyi Balogun, Wei Chen:
Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty. - Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee:
Moment Matching Deep Contrastive Latent Variable Models. - Muhammad Fahad, Daniel R. Fuhrmann:
Heuristic Sensing Schemes for Four-Target Detection in Time-Constrained Vector Poisson and Gaussian Channels. - Jiangtao Wang, Bin Guo, Liming Chen:
Human-in-the-loop Machine Learning: A Macro-Micro Perspective. - Doksoo Lee, Yu-Chin Chan, Wei Wayne Chen, Liwei Wang, Anton van Beek, Wei Chen:
T-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning. - Mostafa Mohammadkarimi, Masoud Ardakani:
Efficient Massive Machine Type Communication (mMTC) via AMP. - Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin:
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. - Capprin Bass, Suresh Ramasamy, Ross L. Hatton:
Characterizing Error in Noncommutative Geometric Gait Analysis. - Giang Truong, Huu Le, Álvaro Parra, Syed Zulqarnain Gilani, Syed M. S. Islam, David Suter:
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration. - Alexandre Perez-Lebel, Gaël Varoquaux, Marine Le Morvan, Julie Josse, Jean-Baptiste Poline:
Benchmarking missing-values approaches for predictive models on health databases. - Lingbing Guo, Qiang Zhang, Huajun Chen:
Unleashing the Power of Transformer for Graphs. - Shangxi Wu, Qiuyang He, Yi Zhang, Jitao Sang:
Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias. - Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman:
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. - Jisung Park, Jeoggyun Kim, Yeseong Kim, Sungjin Lee, Onur Mutlu:
DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression. - Deokjun Eom, Sehyun Lee, Jaesik Choi:
Variational Neural Temporal Point Process. - Lin Huang, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu:
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting. - Yin Fang, Qiang Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer. - Naram Mhaisen, George Iosifidis, Douglas J. Leith:
Online Caching with Optimistic Learning. - Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Kevin Lee, Chetan Arora, Ali Hassani, Arkady B. Zaslavsky:
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey. - A. Kissel, Jay Taves, Dan Negrut:
Constrained multibody kinematics and dynamics in absolute coordinates: a discussion of three approaches to representing rigid body rotation. - Nikolaus H. R. Howe, Simon Dufort-Labbé, Nitarshan Rajkumar, Pierre-Luc Bacon:
Myriad: a real-world testbed to bridge trajectory optimization and deep learning. - Wenshuo Guo, Michael I. Jordan, Ellen Vitercik:
No-Regret Learning in Partially-Informed Auctions. - Yuqing Du, Pieter Abbeel, Aditya Grover:
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation. - Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum:
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. - Sidhant Bansal, Arnab Bhattacharyya, Anamay Chaturvedi, Jonathan Scarlett:
Universal 1-Bit Compressive Sensing for Bounded Dynamic Range Signals. - Jingchen Li, Haobin Shi, Kao-Shing Hwang:
A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning. - Zirui Li, Yunlong Lin, Cheng Gong, Xinwei Wang, Qi Liu, Jianwei Gong, Chao Lu:
An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios. - Kunal Talwar:
Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation. - Hengjin Cai, Tianqi Cai:
An Architecture for Web 3.0 and the Emergence of Spontaneous Time Order. - Mohamed Abdelrazek, Yasmeen Anjeer Alshehhi, Alessio Bonti:
Analysis of Personal Data Visualization Reviews On mHealth Apps (short paper). - Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama:
On the Effectiveness of Adversarial Training against Backdoor Attacks. - Binayak Kar, Widhi Yahya, Ying-Dar Lin, Asad Ali:
A Survey on Offloading in Federated Cloud-Edge-Fog Systems with Traditional Optimization and Machine Learning. - Pin-Yu Chen:
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning. - Yizhou Yang, Xin Liu:
Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approach. - Caluã de Lacerda Pataca, Paula Dornhofer Paro Costa:
Hidden bawls, whispers, and yelps: can text be made to sound more than just its words? - Keehang Kwon:
A Heuristic Proof Procedure for Propositional Logic. - Sanjoy Dasgupta, Gaurav Mahajan, Geelon So:
Convergence of online k-means. - Yan Zhuang, Shiying Li, Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde:
Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition. - Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang:
Equivariant Graph Hierarchy-Based Neural Networks. - Likai Wang, Jinyan Chen:
A Two-Branch Neural Network for Gait Recognition. - Shixing Chen, Xiang Hao, Xiaohan Nie, Raffay Hamid:
Movies2Scenes: Learning Scene Representations Using Movie Similarities. - Clement Zheng, Zhen Zhou Yong, Hongnan Lin, HyunJoo Oh, Ching Chiuan Yen:
Shape-Haptics: Planar & Passive Force Feedback Mechanisms for Physical Interfaces. - Marcus A. Pereira, Augustinos D. Saravanos, Oswin So, Evangelos A. Theodorou:
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM. - Dimitrios Kollias:
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges. - Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan:
Batched Dueling Bandits. - Carlos E. Frasser:
The Open Problem of Finding a General Classification of Geodetic Graphs. - Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan:
Partial Identification with Noisy Covariates: A Robust Optimization Approach. - Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang:
Visually Grounded Task and Motion Planning for Mobile Manipulation. - Mi Zhang, Tieyun Qian, Ting Zhang:
Automatically Generating Counterfactuals for Relation Exaction. - Yuka Ogino, Takahiro Toizumi, Masato Tsukada:
Fast Eye Detector Using Metric Learning for Iris on The Move. - Changjiang Li, Li Wang, Shouling Ji, Xuhong Zhang, Zhaohan Xi, Shanqing Guo, Ting Wang:
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era. - Jaemin Yoo, Lee Sael:
Transition Matrix Representation of Trees with Transposed Convolutions. - Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu:
Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. - Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning: A Survey. - Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer:
Submodlib: A Submodular Optimization Library. - Xiaoshuang Chen, Hongtao Lu:
Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting. - Sunhee Hwang, Minsong Ki, Seung-Hyun Lee, Sanghoon Park, Byoung-Ki Jeon:
Cut and Continuous Paste towards Real-time Deep Fall Detection. - Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal:
Graph Lifelong Learning: A Survey. - Zhaoxia Yin, Qingyu Wang, Jin Tang, Bin Luo:
Universal adversarial perturbation for remote sensing images. - Suvidha Tripathi, Satish Kumar Singh:
Ensembling Handcrafted Features with Deep Features: An Analytical Study for Classification of Routine Colon Cancer Histopathological Nuclei Images. - Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun:
A Framework for Multi-stage Bonus Allocation in meal delivery Platform. - Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee:
Bag of Visual Words (BoVW) with Deep Features - Patch Classification Model for Limited Dataset of Breast Tumours. - Zakaria Belhachmi, Thomas Jacumin:
Optimal Interpolation Data for PDE-based Compression of Images with Noise. - Thisun Dayarathna, Thamidu Muthukumarana, Yasiru Rathnayaka, Simon Denman, Chathura de Silva, Akila Pemasiri, David Ahmedt-Aristizabal:
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study. - Yushuang Wu, Zizheng Yan, Shengcai Cai, Guanbin Li, Yizhou Yu, Xiaoguang Han, Shuguang Cui:
PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds. - Ragib Ahsan, David Arbour, Elena Zheleva:
Relational Causal Models with Cycles: Representation and Reasoning. - Mahmoud Abdelrahman, Clayton Miller:
Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models. - Fan Jiang, Trevor Cohn:
Incorporating Constituent Syntax for Coreference Resolution. - Botao Zhao, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-shot Multi-speaker Text-to-Speech. - C. H. Sarvani, Mrinmoy Ghorai, Shiv Ram Dubey, S. H. Shabbeer Basha:
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels. - Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. - Tam Le, Truyen Nguyen, Dinh Q. Phung, Viet Anh Nguyen:
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. - Chuan-Xian Ren, Yong Hui Liu, Xi-Wen Zhang, Ke-Kun Huang:
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain. - Frank Nielsen:
The duo Fenchel-Young divergence. - Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini:
Distilled Neural Networks for Efficient Learning to Rank. - Jianhao Ye, Hongbin Zhou, Zhiba Su, Wendi He, Kaimeng Ren, Lin Li, Heng Lu:
Improving Cross-lingual Speech Synthesis with Triplet Training Scheme. - Michiharu Yamashita, Jia Tracy Shen, Hamoon Ekhtiari, Thanh Tran, Dongwon Lee:
JAMES: Job Title Mapping with Multi-Aspect Embeddings and Reasoning. - Raphaël Berthier, Mufan (Bill) Li:
Acceleration of Gossip Algorithms through the Euler-Poisson-Darboux Equation. - Zhongxuan Xue, Rongzhen Li, Qizhu Dai, Zhong Jiang:
CorefDRE: Document-level Relation Extraction with coreference resolution. - Laura Ruis, Brenden M. Lake:
Improving Systematic Generalization Through Modularity and Augmentation. - Daogao Liu:
Better Private Algorithms for Correlation Clustering. - Liron Ravner:
Queue input estimation from discrete workload observations. - Wei Ren, Dimos V. Dimarogonas:
Event-Triggered Tracking Control of Networked Multi-Agent Systems. - Binh Minh Nguyen, Ganglin Tian, Minh-Triet Vo, Aurélie Michel, Thomas Corpetti, Carlos Granero-Belinchón:
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution. - Mohamed Elobaid, Mattia Mattioni, Salvatore Monaco, Dorothée Normand-Cyrot:
Station-keeping of L2 halo orbits under sampled-data model predictive control. - Takuya Yashima, Takuya Narihira, Tamaki Kojima:
Thinking the Fusion Strategy of Multi-reference Face Reenactment. - Guangtao Nie, Yibing Zhan:
A Review of Affective Generation Models. - Hongtao Wu, Jikai Ye, Xin Meng, Chris Paxton, Gregory S. Chirikjian:
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks. - Camille Bourgaux, Pierre Bourhis, Liat Peterfreund, Michaël Thomazo:
Revisiting Semiring Provenance for Datalog. - Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg:
Adaptive Cholesky Gaussian Processes. - Yuhui Wang, Yu Cheng, Xiang-Hua Wang, Shunchuan Yang, Zhizhang Chen:
A SBP-SAT FDTD Subgridding Method Using Staggered Yee's Grids Without Modifying Field Components. - Justin Dallant, John Iacono:
How Fast Can We Play Tetris Greedily With Rectangular Pieces? - Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. - Maolin Yang, Pingyu Jiang:
Social Computational Design Method for Generating Product Shapes with GAN and Transformer Models. - Ritu Kapur, Poojith U. Rao, Agrim Dewan, Balwinder Sodhi:
XtraLibD: Detecting Irrelevant Third-Party libraries in Java and Python Applications. - Theodora Kastritsi, Zoe Doulgeri:
A passive admittance controller to enforce Remote Center of Motion and Tool Spatial constraints with application in hands-on surgical procedures. - Alex Shonenkov, Andrey Kuznetsov, Denis Dimitrov, Tatiana Shavrina, Daniil Chesakov, Anastasia Maltseva, Alena Fenogenova, Igor Pavlov, Anton A. Emelyanov, Sergey Markov, Daria Bakshandaeva, Vera Shybaeva, Andrey Chertok:
RuCLIP - new models and experiments: a technical report. - Davide Foini:
Comparing the latest ranking techniques: pros and cons of flexible skylines, regret minimization and skyline ranking queries. - Xinyu Zhang:
A Hybrid Cloud ERP Framework For Processing Purchasing Data. - Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao:
VU-BERT: A Unified framework for Visual Dialog. - Navid Azizan, Sahin Lale, Babak Hassibi:
Explicit Regularization via Regularizer Mirror Descent. - Onur Günlü, Matthieu R. Bloch, Rafael F. Schaefer, Aylin Yener:
Secure Joint Communication and Sensing. - Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert:
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. - Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza:
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. - Kamil Kowol, Stefan Bracke, Hanno Gottschalk:
A-Eye: Driving with the Eyes of AI for Corner Case Generation. - Wenying Duan, Xiaoxi He, Lu Zhou, Zimu Zhou, Lothar Thiele, Hong Rao:
Hyper Attention Recurrent Neural Network: Tackling Temporal Covariate Shift in Time Series Analysis. - Wenzhe Zheng, Zhiyu He, Jianping He, Chengcheng Zhao, Chongrong Fang:
Resilient Average Consensus: A Detection and Compensation Approach. - Maciej Skorski, Alessandro Temperoni, Martin Theobald:
Robust and Provable Guarantees for Sparse Random Embeddings. - Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt:
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. - Jedrzej Kozal, Michal Wozniak:
Increasing Depth of Neural Networks for Life-long Learning. - Vladimir Dyo:
Behaviour-neutral Smart Charging of Plugin Electric Vehicles: Reinforcement learning approach. - Yuyu Guo, Jingkuan Song, Lianli Gao, Heng Tao Shen:
One-shot Scene Graph Generation. - Yuyu Guo, Lianli Gao, Jingkuan Song, Peng Wang, Nicu Sebe, Heng Tao Shen, Xuelong Li:
Relation Regularized Scene Graph Generation. - Yuyu Guo, Jingqiu Zhang, Lianli Gao:
Exploiting long-term temporal dynamics for video captioning. - Claire Stravato Emes, Anfan Chen:
Co-opted marginality, a new type of anti-immigrant discourse on social media? Classifying social media messages about immigrants with BERT. - Oswin Aichholzer, Kristin Knorr, Maarten Löffler, Zuzana Masárová, Wolfgang Mulzer, Johannes Obenaus, Rosna Paul, Birgit Vogtenhuber:
Flipping Plane Spanning Paths. - Giampaolo Bella, Pietro Biondi, Stefano Bognanni:
Attacking and Protecting Network Printers and VoIP Phones alike. - Marco Spanghero, Kewei Zhang, Panos Papadimitratos:
Authenticated time for detecting GNSS attacks. - Xianru Chen:
Stable approximation of functions from equispaced samples via Jacobi frames. - Vanni Consumi, Jeref Merlin, Lukas Lindenroth, Danail Stoyanov, Agostino Stilli:
A Novel Soft Shape-shifting Robot with Track-based Locomotion for In-pipe Inspection. - Martin Higgins, Wangkun Xu, Fei Teng, Thomas Parisini:
Cyber-Physical Risk Assessment for False Data Injection Attacks Considering Moving Target Defences. - Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset for Recommender Systems. - Kun-Ting Chen, Tim Dwyer, Yalong Yang, Benjamin Bach, Kim Marriott:
GAN'SDA Wrap: Geographic And Network Structured Data on surfaces that Wrap around. - JongJin Kim, JongPyo Lee, ShuanHong Wang, Ki-Bong Nam, InSu Kim, YangGon Kim:
Choice Function and its related conjecture. - Thilo Hagendorff, Leonie Bossert, Yip Fai Tse, Peter Singer:
Speciesist bias in AI - How AI applications perpetuate discrimination and unfair outcomes against animals. - Frederik Hagelskjaer:
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets. - Joseph Marvin Imperial:
NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space. - Stijn Koppen, Max van der Kolk, Sanne J. van den Boom, Matthijs Langelaar:
Efficient computation of states and sensitivities for compound structural optimisation problems using a Linear Dependency Aware Solver (LDAS). - Hagit Attiya, Noa Schiller:
Asynchronous Fully-Decentralized SGD in the Cluster-Based Model. - Sergey Goncharov, Stefan Milius, Lutz Schröder, Stelios Tsampas, Henning Urbat:
Stateful Structural Operational Semantics. - Wenkang Zhong, Chuanyi Li, Jidong Ge, Bin Luo:
Neural Program Repair: Systems, Challenges and Solutions. - G. P. Wijesiri N. B. A, T. Samarasinghe, Jussi Haapola:
Performance Enhancement of C-V2X Mode 4 Utilizing Multiple Candidate Single-subframe Resources. - Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma:
Socialformer: Social Network Inspired Long Document Modeling for Document Ranking. - Adnan Theerens, Oliver Urs Lenz, Chris Cornelis:
Choquet-Based Fuzzy Rough Sets. - Danial Kamali, Behrooz Janfada, Mohammad Ebrahim Shenasa, Behrouz Minaei-Bidgoli:
Evaluating Persian Tokenizers. - Zeyu Fang, Jian Zhao, Mingyu Yang, Wengang Zhou, Zhenbo Lu, Houqiang Li:
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking. - Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Sheraz Ahmed, Andreas Dengel:
Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysis. - João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle:
Hierarchical Perceiver. - Kewei Zhang, Marco Spanghero, Panos Papadimitratos:
Protecting GNSS-based Services using Time Offset Validation. - Jessica Illiano, Marcello Caleffi, Antonio Manzalini, Angela Sara Cacciapuoti:
Quantum Internet Protocol Stack: a Comprehensive Survey. - Malte Lenhart, Marco Spanghero, Panos Papadimitratos:
DEMO: Relay/Replay Attacks on GNSS signals. - Enrico Franconi, Sergio Tessaris:
Relational Algebra and Calculus with SQL Null Values. - Marco Spanghero, Panos Papadimitratos:
Poster: Detecting GNSS misbehaviour with high-precision clocks. - Asaf Levin:
The near exact bin covering problem. - Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaohong Liu:
Sound Adversarial Audio-Visual Navigation. - Sunanda Thunder, Po-Tsang Huang:
Variation Aware Training of Hybrid Precision Neural Networks with 28nm HKMG FeFET Based Synaptic Core. - Yuwen Qin, Ningbo Cai, Chen Gao, Yadong Zhang, Yonghong Cheng, Xin Chen:
Remaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction. - Dennis Wingender, Daniel Balzani:
Simulation of crack propagation through voxel-based, heterogeneous structures based on eigenerosion and finite cells. - Nurul Suhaimi, Yixuan Zhang, Mary Amulya Joseph, Miso Kim, Andrea G. Parker, Jacqueline A. Griffin:
Investigating Older Adults' Attitudes towards Crisis Informatics Tools: Opportunities for Enhancing Community Resilience during Disasters. - Mehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh:
Transformation Coding: Simple Objectives for Equivariant Representations. - Jie Ding, Cheng Wang, Shenggao Zhou:
Convergence Analysis of Structure-Preserving Numerical Methods Based on Slotboom Transformation for the Poisson-Nernst-Planck Equations. - Ezana N. Beyenne:
Letters of the Alphabet: Discovering Natural Feature Sets. - Yue Tang, Xinyi Zhang, Peipei Zhou, Jingtong Hu:
EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization. - Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao:
A Survey of Vision-Language Pre-Trained Models. - Jinlei Zhang, Ergang Shan, Lixia Wu, Lixing Yang, Ziyou Gao, Haoyuan Hu:
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems. - Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong:
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning. - Santiago R. Balseiro, Christian Kroer, Rachitesh Kumar:
Single-Leg Revenue Management with Advice. - Maria Luisa Dalla Chiara, Roberto Giuntini, Eleonora Negri, Giuseppe Sergioli:
Recognizing Concepts and Recognizing Musical Themes. A Quantum Semantic Analysis. - Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri:
Gradient Based Activations for Accurate Bias-Free Learning. - Max Biggs:
Convex Loss Functions for Contextual Pricing with Observational Posted-Price Data. - Junhao Wen, Erdem Varol, Zhijian Yang, Gyujoon Hwang, Dominique Dwyer, Anahita Fathi Kazerooni, Paris Alexandros Lalousis, Christos Davatzikos:
Subtyping brain diseases from imaging data. - Justin Payan, Rik Sengupta, Vignesh Viswanathan:
Locally EFX Allocations Over a Graph. - Chao Ma, Lexing Ying:
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games. - Qian Lin, Hwee Tou Ng:
A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues. - Joshua S. Gans, Richard Holden:
A Solomonic Solution to Ownership Disputes: An Application to Blockchain Front-Running. - Oskar Kviman, Harald Melin, Hazal Koptagel, Víctor Elvira, Jens Lagergren:
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations. - Alessandro Traspadini, Marco Giordani, Michele Zorzi:
UAV/HAP-Assisted Vehicular Edge Computing in 6G: Where and What to Offload? - Ziru Chen, Ran Zhang, Lin X. Cai, Yu Cheng, Yong Liu:
A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control. - Akshay Bansal, Ayda Kianmehr:
A framework for spatial heat risk assessment using a generalized similarity measure. - Alexander Schäfer, Gerd Reis, Didier Stricker:
Comparing Controller With the Hand Gestures Pinch and Grab for Picking Up and Placing Virtual Objects. - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Designing Menus of Contracts Efficiently: The Power of Randomization. - Sung-Guk Jo, Jeong-Jae Kim, Byung-Won On:
Learning Cluster Patterns for Abstractive Summarization. - Marco Skocaj, Lorenzo Mario Amorosa, Giorgio Ghinamo, Giuliano Muratore, Davide Micheli, Flavio Zabini, Roberto Verdone:
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning. - Souvik Sur:
How Hard Are Verifiable Delay Functions? - Juan D. Yepes, Daniel Raviv:
Estimation of Looming from LiDAR. - Zhen Zhao, Yuqiu Liu, Gang Zhang, Liang Tang, Xiaolin Hu:
The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing Image. - Qiqi Wang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning. - Aoife McDonald-Bowyer, Solène Dietsch, Emmanouil Dimitrakakis, Joanna M. Coote, Lukas Lindenroth, Danail Stoyanov, Agostino Stilli:
Organ Shape Sensing using Pneumatically Attachable Flexible Rails in Robotic-Assisted Laparoscopic Surgery. - Samin Farajian, Hiroki Kaimoto, Ryo Suzuki:
Swarm Fabrication: Reconfigurable 3D Printers and Drawing Plotters Made of Swarm Robots. - Jason Tsay, Andrea Bartezzaghi, Aleke Nolte, A. Cristiano I. Malossi:
Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE). - Vladimir Starostin, Valentin Munteanu, Alessandro Greco, Ekaterina Kneschaurek, Alina Pleli, Florian Bertram, Alexander Gerlach, Alexander Hinderhofer, Frank Schreiber:
Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data. - Jacob Krüger, Gül Çalikli, Dmitri Bershadskyy, Robert Heyer, Sarah Zabel, Siegmar Otto:
Registered Report: A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering Experimentation. - Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou:
Forgiving Debt in Financial Network Games. - Zhe He, Shubo Tian, Arslan Erdengasileng, Neil Charness, Jiang Bian:
Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records. - Zhe Li, Andreas S. Tolias, Xaq Pitkow:
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks. - Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten:
Multi-Objective Dual Simplex-Mesh Based Deformable Image Registration for 3D Medical Images - Proof of Concept. - Jordan J. Bird:
Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor. - Fangcheng Zhu, Yunfan Ren, Fu Zhang:
Robust and Online LiDAR-inertial Initialization. - Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Computing Multiple Image Reconstructions with a Single Hypernetwork. - Yifan Lei, Qiang Huang, Mohan S. Kankanhalli, Anthony K. H. Tung:
DIOT: Detecting Implicit Obstacles from Trajectories. - Tao Yang, You Li, Cheng Zhao, Dexin Yao, Guanyin Chen, Li Sun, Tomás Krajník, Zhi Yan:
3D ToF LiDAR in Mobile Robotics: A Review. - Lifeng Han:
An Overview on Machine Translation Evaluation. - Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo:
Generating Synthetic Mobility Networks with Generative Adversarial Networks. - Christof Beierle, Patrick Felke:
Classification of Planar Monomials Over Finite Fields of Small Order. - Lukás Krasula, Zhi Li, Christos G. Bampis, Mariana Afonso, Nil Fons Miret, Joel Sole:
Banding vs. Quality: Perceptual Impact and Objective Assessment. - Michail Gkagkos, Krishna R. Narayanan, Jean-François Chamberland, Costas N. Georghiades:
FASURA: A Scheme for quasi-static Massive MIMO Unsourced Random Access Channels. - Nithia Vijayan, Prashanth L. A.:
Approximate gradient ascent methods for distortion risk measures. - Sai Nethra Betgeri, Shashank Reddy Vadyala, John C. Matthews, Mahboubeh Madadi, Greta Vladeanu:
Wastewater Pipe Condition Rating Model Using K- Nearest Neighbors. - Paolo De Petris, Huan Nguyen, Mihir Dharmadhikari, Mihir Kulkarni, Nikhil Khedekar, Frank Mascarich, Kostas Alexis:
RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration. - Paul Gölz, Dominik Peters, Ariel D. Procaccia:
In This Apportionment Lottery, the House Always Wins. - Pavle Boskoski, Matija Perne, Tjasa Redek, Biljana Mileva-Boshkoska:
Occupation similarity through bipartite graphs. - Samuel Eckstrom, Graham Murphy, Eileen Ye, Samrat Acharya, Robert Mieth, Yury Dvorkin:
Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City. - Regine Hartwig, Daniel Ostler, Jean-Claude Rosenthal, Hubertus Feußner, Dirk Wilhelm, Dirk Wollherr:
Constrained Visual-Inertial Localization With Application And Benchmark in Laparoscopic Surgery. - Jack Stade, Jamie Tucker-Foltz:
Topological Universality of the Art Gallery Problem. - Rostislav-Paul Wilhelm, Matthias Kirchhart:
An interpolating particle method for the Vlasov-Poisson equation. - Mirco Mutti, Stefano Del Col, Marcello Restelli:
Reward-Free Policy Space Compression for Reinforcement Learning. - Mohammed Jouhari, El Mehdi Amhoud, Nasir Saeed, Mohamed-Slim Alouini:
A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges. - Zijie J. Wang, Katie Dai, W. Keith Edwards:
StickyLand: Breaking the Linear Presentation of Computational Notebooks. - Gilderlan Tavares de Araújo, Paulo Ricardo Brboza Gomes, André Lima Férrer de Almeida, Gábor Fodor, Behrooz Makki:
Semi-Blind Joint Channel and Symbol Estimation in IRS-Assisted Multi-User MIMO Networks. - Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski:
Counterfactual Phenotyping with Censored Time-to-Events. - Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. - Kentaro Wada, Stephen James, Andrew J. Davison:
ReorientBot: Learning Object Reorientation for Specific-Posed Placement. - Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang:
GroupViT: Semantic Segmentation Emerges from Text Supervision. - Marina Knittel, Samuel Dooley, John P. Dickerson:
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. - Petar Velickovic:
Message passing all the way up. - Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. - Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao:
Learning with Free Object Segments for Long-Tailed Instance Segmentation. - Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates:
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks. - Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White:
Continual Auxiliary Task Learning. - Dhruv Jain, Khoa Huynh Anh Nguyen, Steven Goodman, Rachel Grossman-Kahn, Hung Ngo, Aditya Kusupati, Ruofei Du, Alex Olwal, Leah Findlater, Jon E. Froehlich:
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users. - Bhawana Chhaglani, Camellia Zakaria, Adam Lechowicz, Prashant J. Shenoy, Jeremy Gummeson:
FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing. - Ananth Jonnavittula, Dylan P. Losey:
Communicating Robot Conventions through Shared Autonomy. - Robert Greener, Daniel Lewis, Jon Reades, Simon Miles, Steven Cummins:
Incorporating social norms into a configurable agent-based model of commuting behaviour. - Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang:
Understanding Queries by Conditional Instances. - Bashar Tahir, Stefan Schwarz, Markus Rupp:
Impact of Channel Correlation on Subspace-Based Activity Detection in Grant-Free NOMA. - Peng Zhu, Shenglan Xie:
A weak Galerkin method and its two-grid algorithm for the quasi-linear elliptic problems of non-monotone type. - Nitesh Goyal, Leslie Park, Lucy Vasserman:
"You have to prove the threat is real": Understanding the needs of Female Journalists and Activists to Document and Report Online Harassment. - Sahil Bhola, Suraj Pawar, Prasanna Balaprakash, Romit Maulik:
Multi-fidelity reinforcement learning framework for shape optimization. - Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman:
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. - Prithvi Akella, Aaron D. Ames:
A Barrier-Based Scenario Approach to Verify Safety-Critical Systems. - Grethell Castillo-Reyes, René Estrella, Karen Gabriels, Jos Van Orshoven, Floris Abrams, Dirk Roose:
Selecting cells in a raster database for maximal impact intervention in the presence of spatial interaction: Computational complexity of a Multiple vs. a Single Flow Direction Method. - Gengyu Zhang, Prashant Doshi:
SIPOMDPLite-Net: Lightweight, Self-Interested Learning and Planning in POSGs with Sparse Interactions. - Paul Stoewer, Christian Schlieker, Achim Schilling, Claus Metzner, Andreas K. Maier, Patrick Krauss:
Neural Network based Successor Representations of Space and Language. - Hafiz M. Usman, Shayok Mukhopadhyay, Habib-ur Rehman:
Real Time Adaptive Estimation of Li-ion Battery Bank Parameters. - Tim Ziemer, Navid Mirzayousef Jadid:
Recommendations to Develop, Distribute and Market Sonification Apps. - Yein Kim, Huili Chen, Farinaz Koushanfar:
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection. - Roman A. Sandler, Peter K. Relich, Cloud Cho, Sean Holloway:
Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks. - Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis:
Differentially Private Regression with Unbounded Covariates. - Weilin Zheng, Bo Liu, Hong-Ning Dai, Zigui Jiang, Zibin Zheng, Muhammad Imran:
Unravelling Token Ecosystem of EOSIO Blockchain. - Hao He, Kaiwen Zha, Dina Katabi:
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. - Minlong Peng, Zidi Xiong, Mingming Sun, Ping Li:
Label-Smoothed Backdoor Attack. - Monika Henzinger, Jalaj Upadhyay:
Constant matters: Fine-grained Complexity of Differentially Private Continual Observation Using Completely Bounded Norms. - Xianhao Chen, Yiqin Deng, Guangyu Zhu, Danxin Wang, Yuguang Fang:
From Resource Auction to Service Auction: An Auction Paradigm Shift in Wireless Networks. - Nelly Elsayed, Zag ElSayed, Murat Ozer:
Early Stage Diabetes Prediction via Extreme Learning Machine. - Franziska Meier, Austin S. Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah:
Differentiable and Learnable Robot Models. - Eric Neyman, Tim Roughgarden:
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling. - Zobeir Raisi, Georges Younes, John S. Zelek:
Arbitrary Shape Text Detection using Transformers. - Farzaneh Tatari, Hamidreza Modares:
Fixed-time Stability of Discrete-time Autonomous Systems. - Sumedh A. Sontakke, Buvaneswari Ramanan, Laurent Itti, Thomas Woo:
Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps. - Vignesh Raghuraman, Justin P. Koeln:
Hierarchical MPC for coupled subsystems using adjustable tubes. - Todd Arbogast, Chuning Wang:
Direct Serendipity and Mixed Finite Elements on Convex Polygons. - Xiaoming Zeng, Zhendong Wang, Yang Hu:
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving. - Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. - Michael J. Dinneen, Pankaj S. Ghodla, Simone Linz:
A QUBO formulation for the Tree Containment problem. - Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury:
Circuit and System Technologies for Energy-Efficient Edge Robotics. - Farhad Shirani, S. Sandeep Pradhan:
Lattices from Linear Codes: Source and Channel Networks. - Abhinau Kumar Venkataramanan, Cosmin Stejerean, Alan C. Bovik:
FUNQUE: Fusion of Unified Quality Evaluators. - Qinjing Qiu, Reiichiro Kawai:
Iterative weak approximation and hard bounds for switching diffusion. - Nima Mahmoudi, Hamzeh Khazaei:
MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms. - Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Exploring Edge Disentanglement for Node Classification. - Zain ul Abdeen, He Yin, Vassilis Kekatos, Ming Jin:
Learning Neural Networks under Input-Output Specifications. - Nima Mahmoudi, Hamzeh Khazaei:
Performance Modeling of Metric-Based Serverless Computing Platforms. - Michael E. Walker, Thao Phung, Tathagata Chakraborti, Tom Williams, Daniel Szafir:
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy. - Ce Jin, Yinzhan Xu:
Tight Dynamic Problem Lower Bounds from Generalized BMM and OMv. - Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco:
Low-memory Krylov subspace methods for optimal rational matrix function approximation. - Talha Akyildiz, Raymond Ku, Nicholas Harder, Najme Ebrahimi, Hessam Mahdavifar:
ML-Aided Collision Recovery for UHF-RFID Systems. - Jie You:
Blockchain Framework for Artificial Intelligence Computation. - Tom Yan, Chicheng Zhang:
Margin-distancing for safe model explanation. - Geoffrey Pettet, Hunter Baxter, Sayyed Mohsen Vazirizade, Hemant Purohit, Meiyi Ma, Ayan Mukhopadhyay, Abhishek Dubey:
Designing Decision Support Systems for Emergency Response: Challenges and Opportunities. - Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun:
NetRCA: An Effective Network Fault Cause Localization Algorithm. - Dhruv Shah, Sergey Levine:
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints. - Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith:
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms. - Roberto B. Di Renna, Rodrigo Caiado de Lamare:
Joint Channel Estimation, Activity Detection and Decoding using Dynamic Message-Scheduling for Machine-Type Communications. - Kaige Wang, Tianming Wang, Jianchuang Qu, Huatao Jiang, Qing Li, Lin Chang:
An End-to-End Cascaded Image Deraining and Object Detection Neural Network. - Sulabh Kumra, Shirin Joshi, Ferat Sahin:
Learning Multi-step Robotic Manipulation Policies from Visual Observation of Scene and Q-value Predictions of Previous Action. - Hasan Asy'ari Arief, Peter James Thomas, Tomasz Wiktorski:
Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup. - Zexuan Yin, Paolo Barucca:
Neural Generalised AutoRegressive Conditional Heteroskedasticity. - Zexuan Yin, Paolo Barucca:
Deep Recurrent Modelling of Granger Causality with Latent Confounding. - Hanieh Naderi, Arian Etemadi, Kimia Noorbakhsh, Shohreh Kasaei:
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis. - Minghua Chen, Rongjun Cao, Stefano Serra-Capizzano:
Fast algebraic multigrid for block-structured dense and Toeplitz-like-plus-Cross systems arising from nonlocal diffusion problems. - Alok Warey, Rajan Chakravarty:
Classification of Computer Aided Engineering (CAE) Parts Using Graph Convolutional Networks. - Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang:
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration. - Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong:
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. - Yuxi Li:
Deep Reinforcement Learning: Opportunities and Challenges. - Srinath Tankasala, Can Pehlivanturk, Mitch Pryor:
Minimum time trajectory generation for surveying using UAVs. - Ting-Wei Wu, Biing-Hwang Juang:
Knowledge Augmented BERT Mutual Network in Multi-turn Spoken Dialogues. - Zixuan Feng, Amreeta Chatterjee, Anita Sarma, Iftekhar Ahmed:
Implicit Mentoring: The Unacknowledged Developer Efforts in Open Source. - Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. - Islam Ali, Hong Zhang:
Are We Ready for Robust and Resilient SLAM? A Framework For Quantitative Characterization of SLAM Datasets. - Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus:
Multivariate Quantile Function Forecaster. - Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices. - Rui Gao, Fan Wan, Daniel Organisciak, Jiyao Pu, Junyan Wang, Haoran Duan, Peng Zhang, Xingsong Hou, Yang Long:
Absolute Zero-Shot Learning. - Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic:
Efficient CDF Approximations for Normalizing Flows. - Haoran Zhang, Chenkun Yin, Yanxin Zhang, Shangtai Jin, Zhenxuan Li:
Reinforcement Learning from Demonstrations by Novel Interactive Expert and Application to Automatic Berthing Control Systems for Unmanned Surface Vessel. - Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque:
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception. - Gaston E. Zanitti, Yamil Soto, Valentin Iovene, Maria Vanina Martinez, Ricardo Oscar Rodríguez, Gerardo I. Simari, Demian Wassermann:
Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach. - Senthil Hariharan Arul, Dinesh Manocha:
Dense Multi-Agent Navigation Using Voronoi Cells and Congestion Metric-based Replanning. - Andres Gutierrez, Vamsi Krishna Guda, Stanley Mugisha, Christine Chevallereau, Damien Chablat:
Trajectory planning in Dynamics Environment : Application for Haptic Perception in Safe HumanRobot Interaction. - Maëlic Neau, Paulo E. Santos, Anne-Gwenn Bosser, Nathan Beu, Cédric Buche:
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions. - Malte Lenhart, Marco Spanghero, Panos Papadimitratos:
Distributed and Mobile Message Level Relaying/Replaying of GNSS Signals. - Alban Gossard, Pierre Weiss:
Training Adaptive Reconstruction Networks for Inverse Problems. - Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration. - Yi Zhu, Xinke Zhou, Jipeng Qiang, Yun Li, Yunhao Yuan, Xindong Wu:
Prompt-Learning for Short Text Classification. - Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo:
Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum. - Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou:
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. - Yu-Tse Wu, Kuang-Hao Liu:
Low-complexity Joint Beamforming for RIS-Aided Multi-User Downlink over Correlated Channels. - Dazhao Du, Bing Su, Zhewei Wei:
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting. - Donggeun Ko, Sangjun Lee, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo:
Deepfake Detection for Facial Images with Facemasks. - Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. - Lucia Giagnolini, Marilena Daquino, Francesca Mambelli, Francesca Tomasi:
Exploratory Methods for Relation Discovery in Archival Data. - Maksim Zubkov, Daniil Gavrilov:
FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks. - Tong Zhang:
The DoF Region of Two-User MIMO Broadcast Channel with Delayed Imperfect-Quality CSIT. - Marjeta Knez, Francesca Pelosi, Maria Lucia Sampoli:
Construction of G2 planar Hermite interpolants with prescribed arc lengths. - Christian Wilms, Robert Johanson, Simone Frintrop:
Localizing Small Apples in Complex Apple Orchard Environments. - Xiaoguang Zhu, Ye Zhu, Haoyu Wang, Honglin Wen, Yan Yan, Peilin Liu:
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition. - Marvin Klimke, Benjamin Völz, Michael Buchholz:
Cooperative Behavioral Planning for Automated Driving using Graph Neural Networks. - Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su:
Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images. - Longhui Yu, Zhenyu Weng, Yuqing Wang, Yuesheng Zhu:
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification. - Xiaosong Gu, Wei Cao, Yicong Zhu, Xuan Song, Yu Huang, Xiaoxing Ma:
Compositional Model Checking of Consensus Protocols Specified in TLA+ via Interaction-Preserving Abstraction. - Adina Zell, Gencer Sumbul, Begüm Demir:
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning. - Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin:
Fast Sparse Classification for Generalized Linear and Additive Models. - Staal Amund Vinterbo:
Differential privacy for symmetric log-concave mechanisms. - Saverio Giallorenzo, Fabrizio Montesi, Marco Peressotti, Florian Rademacher:
Model-Driven Generation of Microservice Interfaces: From LEMMA Domain Models to Jolie APIs. - Wanning Zheng, Li Chai:
Measurement of the Interactions and Stability of MTDC Systems. - Benhan Li, Shengdong Du, Tianrui Li:
A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting. - Chavhan Sujeet Yashavant, Saurabh Kumar, Amey Karkare:
ScrawlD: A Dataset of Real World Ethereum Smart Contracts Labelled with Vulnerabilities. - Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer:
Canonical Polyadic Decomposition via the generalized Schur decomposition. - Marcos Faúndez-Zanuy:
Privacy issues on biometric systems. - Marcos Faúndez-Zanuy, Joan Fabregas:
Testing report of a fingerprint-based door-opening system. - Yoshihito Kazashi, Yuya Suzuki, Takashi Goda:
Sub-optimality of Gauss-Hermite quadrature and optimality of trapezoidal rule for functions with finite smoothness. - Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen:
ProFormer: Learning Data-efficient Representations of Body Movement with Prototype-based Feature Augmentation and Visual Transformers. - Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao:
Towards Speaker Age Estimation with Label Distribution Learning. - Sen Zhao, Wei Wei, Ding Zou, Xianling Mao:
Multi-view Intent Disentangle Graph Networks for Bundle Recommendation. - Freddie Taewoo Hong, Steve Hodges, Connor Myant, David E. Boyle:
Open5x: Accessible 5-axis 3D printing and conformal slicing. - Gencer Sumbul, Markus Müller, Begüm Demir:
A Novel Self-Supervised Cross-Modal Image Retrieval Method In Remote Sensing. - Xuebo Tian, Junqiao Zhao, Chen Ye:
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization. - Alexandr Katrutsa, Sergey Utyuzhnikov, Ivan V. Oseledets:
Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. - Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia:
Data-Driven Decision Making in COVID-19 Response: A Survey. - Mingming Fan, Yiwen Wang, Yuni Xie, Franklin Mingzhe Li, Chunyang Chen:
Understanding How Older Adults Comprehend COVID-19 Interactive Visualizations via Think-Aloud Protocol. - Wang Ling, Wojciech Stokowiec, Domenic Donato, Laurent Sartran, Lei Yu, Austin Matthews, Chris Dyer:
Enabling arbitrary translation objectives with Adaptive Tree Search. - Antal Jakovác, Marcell T. Kurbucz, Péter Pósfay:
Reconstruction of observed mechanical motions with Artificial Intelligence tools. - Lianzhe Huang, Shuming Ma, Dongdong Zhang, Furu Wei, Houfeng Wang:
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt. - Anastasia-Maria Leventi-Peetz, T. Östreich:
Deep Learning Reproducibility and Explainable AI (XAI). - Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang:
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. - Cristina Fernández-Córdoba, Sachin Pathak, Ashish Kumar Upadhyay:
On ZprZprZps-Additive Cyclic Codes. - Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj:
On PAC-Bayesian reconstruction guarantees for VAEs. - Canjie Luo, Yuanzhi Zhu, Lianwen Jin, Zhe Li, Dezhi Peng:
SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text. - Guanmin Guo, Ruihu Li, Yang Liu, Hao Song:
Duality of generalized twisted Reed-Solomon codes and Hermitian self-dual MDS or NMDS codes. - Marcos Faúndez-Zanuy:
Biometric security technology. - Hana Najmanová, Veronika Pesková, Lukás Kuklík, Marek Bukácek, Pavel Hrabák, Daniel Vasata:
Evacuation trials from a double-deck electric train unit: Experimental data and sensitivity analysis. - Xavier Font-Aragonès, Marcos Faúndez-Zanuy, Jirí Mekyska:
Thermal hand image segmentation for biometric recognition. - Stefan Bora, Brenton D. Walker, Markus Fidler:
The Tiny-Tasks Granularity Trade-Off: Balancing overhead vs. performance in parallel systems. - Garima Bhandari, Pushparaj Mani Pathak, Jung-Min Yang:
Bond Graph Modelling and Simulation of Pneumatic Soft Actuator. - Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard:
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. - Marco Spanghero, Panos Papadimitratos:
High-precision Hardware Oscillators Ensemble for GNSS Attack Detection. - Ruichen Li, Binghui Li, Qi Qian, Liwei Wang:
Reconstruction Task Finds Universal Winning Tickets. - Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. - Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang:
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search. - Armin Lederer, Mingmin Zhang, Samuel Tesfazgi, Sandra Hirche:
Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. - Sridhar Iyer, Anita Patil, Shilpa Bhairanatti, Soumya Halagatti, Rahul Jashvantbhai Pandya:
A Survey on Technological Trends to Enhance Spectrum Efficiency in 6G Communications. - Kathleen Downer, Maumita Bhattacharya:
BYOD Security: A Study of Human Dimensions. - Stelios Boulitsakis-Logothetis:
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features. - Fan Zhu, Ruixing Jia, Lei Yang, Youcan Yan, Zheng Wang, Jia Pan, Wenping Wang:
Visual-tactile sensing for Real-time liquid Volume Estimation in Grasping. - Nam Hoai Chu, Diep N. Nguyen, Dinh Thai Hoang, Quoc-Viet Pham, Won-Joo Hwang, Eryk Dutkiewicz:
AI-empowered Joint Communication and Radar Systems with Adaptive Waveform for Autonomous Vehicles. - Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert:
Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics. - Jingyi Xu, Zirui Li, Li Gao, Junyi Ma, Qi Liu, Yanan Zhao:
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles. - Andrew Wood, Moshik Hershcovitch, Daniel G. Waddington, Sarel Cohen, Meredith Wolf, Hongjun Suh, Weiyu Zong, Peter Chin:
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis. - Yue Jiang, Wolfgang Stuerzlinger, Christof Lutteroth:
ReverseORC: Reverse Engineering of Resizable User Interface Layouts with OR-Constraints. - Sihao Hu, Yi Cao, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Wengwu Ou, Shouling Ji:
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. - Gilson Y. Shimizu, Rafael Izbicki, Denis Valle:
A new LDA formulation with covariates. - Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz:
Inference of Affordances and Active Motor Control in Simulated Agents. - Jacobus Conradi, Anne Driemel:
On Computing the k-Shortcut Fréchet Distance. - Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz:
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. - Rohit Mohan, Abhinav Valada:
Amodal Panoptic Segmentation. - Haifeng Ji:
An immersed Crouzeix-Raviart finite element method in 2D and 3D based on discrete level set functions. - Endre Boros, Paolo Giulio Franciosa, Vladimir Gurvich, Michael N. Vyalyi:
Deterministic n-person shortest path and terminal games on symmetric digraphs have Nash equilibria in pure stationary strategies. - Christopher Ormerod:
Short-answer scoring with ensembles of pretrained language models. - Thomas Depian, Guangping Li, Martin Nöllenburg, Jules Wulms:
Transitions in Dynamic Map Labeling. - Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang:
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. - Luca Aceto, Antonis Achilleos, Elli Anastasiadi, Adrian Francalanza:
Monitoring hyperproperties with circuits. - Nilesh Suriyarachchi, Rohan Chandra, John S. Baras, Dinesh Manocha:
GAMEOPT: Optimal Real-time Multi-Agent Planning and Control at Dynamic Intersections. - Pirah Noor Soomro, Mustafa Abduljabbar, Jerónimo Castrillón, Miquel Pericàs:
Shisha: Online scheduling of CNN pipelines on heterogeneous architectures. - Mahmut Levent Dogan, Alperen Ali Ergür, Elias P. Tsigaridas:
The Boolean complexity of computing Chow forms. - Fabian Laakmann, Patrick E. Farrell, Kaibo Hu:
Structure-preserving and helicity-conserving finite element approximations and preconditioning for the Hall MHD equations. - Alex Abbey, Yanir Marmor, Yuval Shahar, Osnat Mokryn:
An interaction-based contagion model over temporal networks demonstrates that reducing temporal network density reduces total infection rate. - Hongyang Zhang, Yihan Wu, Heng Huang:
How Many Data Are Needed for Robust Learning? - Lee Cohen, Yishay Mansour, Michal Moshkovitz:
Finding Safe Zones of policies Markov Decision Processes. - Philipp Czerner, Roland Guttenberg, Martin Helfrich, Javier Esparza:
Fast and Succinct Population Protocols for Presburger Arithmetic. - Christos N. Efrem, Ioannis Krikidis:
Joint IRS Location and Size Optimization in Multi-IRS Aided Two-Way Full-Duplex Communication Systems. - Ina Goeßmann, Jonathan Klawitter, Boris Klemz, Felix Klesen, Stephen G. Kobourov, Myroslav Kryven, Alexander Wolff, Johannes Zink:
The Segment Number: Algorithms and Universal Lower Bounds for Some Classes of Planar Graphs. - Andrea De Maio, Simon Lacroix:
Deep Bayesian ICP Covariance Estimation. - Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong:
How to optimize an academic team when the outlier member is leaving? - Luofeng Liao, Yuan Gao, Christian Kroer:
Nonstationary Dual Averaging and Online Fair Allocation. - Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
Image Classification on Small Datasets via Masked Feature Mixing. - Gergo Pintér, Imre Felde:
Awakening City: Traces of the Circadian Rhythm within the Mobile Phone Network Data. - Thore Tiemann, Zane Weissman, Thomas Eisenbarth, Berk Sunar:
IOTLB-SC: An Accelerator-Independent Leakage Source in Modern Cloud Systems. - Chris van Merwijk, Ryan Carey, Tom Everitt:
A Complete Criterion for Value of Information in Soluble Influence Diagrams. - Alexis-Michel Mugabushaka, Nees Jan van Eck, Ludo Waltman:
Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures. - Georges Semaan, Toni Sayah, Faouzi Triki:
A posteriori error estimates for Darcy-Forchheimer's problem. - Visara Urovi, Vikas Jaiman, Arno Angerer, Michel Dumontier:
LUCE: A Blockchain-based data sharing platform for monitoring data license accountability and compliance. - Thomas Izgin, Stefan Kopecz, Andreas Meister:
On the Stability of Unconditionally Positive and Linear Invariants Preserving Time Integration Schemes. - Akash Dhasade, Nevena Dresevic, Anne-Marie Kermarrec, Rafael Pires:
TEE-based decentralized recommender systems: The raw data sharing redemption. - Paul Bergmann, David Sattlegger:
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors. - Irina Kostitsyna, Tom Peters, Bettina Speckmann:
Fast Reconfiguration for Programmable Matter. - Jeewon Heo, Youngjoo Kim, Jos B. T. M. Roerdink:
Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering. - Matthew Bieda:
Refining the state-of-the-art in Machine Translation, optimizing NMT for the JA EN language pair by leveraging personal domain expertise. - Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez:
Wide Mean-Field Bayesian Neural Networks Ignore the Data. - Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. - Sanae Lotfi, Pavel Izmailov, Gregory W. Benton, Micah Goldblum, Andrew Gordon Wilson:
Bayesian Model Selection, the Marginal Likelihood, and Generalization. - Omur Ozel, Aylin Yener, Sennur Ulukus:
State Amplification and Masking While Timely Updating. - Dan Saattrup Nielsen, Ryan McConville:
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset. - Xuhui Zhang, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante:
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. - Mohammad Khajenejad, Fatima Shoaib, Sze Zheng Yong:
Interval Observer Synthesis for Locally Lipschitz Nonlinear Dynamical Systems via Mixed-Monotone Decompositions. - Jie Ding, Shuai Ma, Xinshan Zhu:
Asymptotic Critical Transmission Radii in Wireless Networks over a Convex Region. - Giuseppe Rizzelli, Pablo Torres-Ferrera, Roberto Gaudino:
An Analytical Model for SNR Prediction in Coherent Systems after generic Jones Matrices. - Rui Chen, Zhenyang Tian, Wen-Xuan Long, Xiaodong Wang, Wei Zhang:
Hybrid Mechanical and Electronic Beam Steering for Maximizing OAM Channel Capacity. - (Withdrawn) An information-theoretic proof of the Erdős-Kac theorem.
- Holger Boche, Yannik N. Böck, Ullrich J. Mönich:
On the Arithmetic Complexity of the Bandwidth of Bandlimited Signals. - Shamganth Kumarapandian, Qasim Zeeshan Ahmed, Faheem Ahmad Khan:
Double Threshold based Optimal Device Selection Scheme for D2D or Sidelink Network. - Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Chunyan Miao, Zhu Han, Dong In Kim:
Stochastic Coded Offloading Scheme for Unmanned Aerial Vehicle-Assisted Edge Computing. - Dong Cheng, Xiaoxiao Hu, Kit Ian Kou:
Signal reconstruction from noisy multichannel samples. - Manjesh K. Hanawal, Sumit Jagdish Darak:
Exploiting Side Information for Improved Online Learning Algorithms in Wireless Networks. - Josh W. Nevin, Sam Nallaperuma, Seb J. Savory:
Gaussian Process-Driven History Matching for Physical Layer Parameter Estimation in Optical Fiber Communication Networks. - Yuqian Zhu, Zhu Bo, Ming Li, Yang Liu, Qian Liu, Zheng Chang, Yulin Hu:
Deep Reinforcement Learning based Joint Active and Passive Beamforming Design for RIS-Assisted MISO Systems. - Shouchang Guo, Valentin Deschaintre, Douglas C. Noll, Arthur Roullier:
Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesis. - Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi:
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. - Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation. - Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. - Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman:
Are All Linear Regions Created Equal? - Khouloud Abdelli, Joo Yeon Cho, Carsten Tropschug:
ML-based Anomaly Detection in Optical Fiber Monitoring. - Tomás Kacetl, Jan Kacetl, Jinyang Fang, Malte Jaensch, Stefan M. Goetz:
Degradation-Reducing Control for Dynamically Reconfigurable Batteries. - Yelena Mejova, Tatiana Gracyk, Ronald E. Robertson:
Googling for Abortion: Search Engine Mediation of Abortion Accessibility in the United States. - Charles Dawson, Sicun Gao, Chuchu Fan:
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods. - Qianli Feng, Chenqi Guo, Fabian Benitez-Quiroz, Aleix M. Martínez:
When do GANs replicate? On the choice of dataset size. - Shervin Le Du, Senaida Hernández Santana, Giannicola Scarpa:
A gentle introduction to Quantum Natural Language Processing. - Scott E. Friedman, Ian H. Magnusson, Vasanth Sarathy, Sonja Schmer-Galunder:
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach. - Ioannis Zacharoudiou, Jon W. S. McCullough, Peter V. Coveney:
Development and performance of a HemeLB GPU code for human-scale blood flow simulation. - Umut Kocasari, Alperen Bag, Oguz Kaan Yüksel, Pinar Yanardag:
Discovering Multiple and Diverse Directions for Cognitive Image Properties. - Jon M. Kleinberg, Sendhil Mullainathan, Manish Raghavan:
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization. - Konstantin Dobler, Florian Hübscher, Jan Westphal, Alejandro Sierra Múnera, Gerard de Melo, Ralf Krestel:
Art Creation with Multi-Conditional StyleGANs. - Moinak Bhattacharya, Shubham Jain, Prateek Prasanna:
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification. - Tim Whitaker, Darrell Whitley:
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks. - Kevin P. Nguyen, Albert Montillo:
Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data. - Jiajia Zhang, Jiyuan Tian, Yang Liu, Shyam Prasad:
Design and experimental investigation of a vibro-impact self-propelled capsule robot with orientation control. - Yoonhaeng Hur, Jeremy G. Hoskins, Michael Lindsey, E. Miles Stoudenmire, Yuehaw Khoo:
Generative modeling via tensor train sketching. - Andrew Colt Deckert, Erich Kummerfeld:
Investigating the effect of binning on causal discovery. - Zhutian Yang, Aidan Curtis:
Let's Handle It: Generalizable Manipulation of Articulated Objects. - Suprovat Ghoshal, Aadirupa Saha:
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits. - Stephan Wäldchen, Felix Huber, Sebastian Pokutta:
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four. - Cameron Haigh, Zichen Zhang, Negar Hassanpour, Khurram Javed, Yingying Fu, Shayan Shahramian, Shawn Zhang, Jun Luo:
Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors. - C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk:
NeuroView-RNN: It's About Time. - Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar:
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. - Alexander Heinrich, Niklas Bittner, Matthias Hollick:
AirGuard - Protecting Android Users From Stalking Attacks By Apple Find My Devices. - Matthew J. Hausknecht, Nolan Wagener:
Consistent Dropout for Policy Gradient Reinforcement Learning. - Jaemin Choi, David F. Richards, Laxmikant V. Kalé:
Improving Scalability with GPU-Aware Asynchronous Tasks. - Mohammad Arafat Ali Khan, Chandra Bhushan, Vadlamani Ravi, Vangala Sarveswara Rao, Shiva Shankar Orsu:
Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark. - Ameya D. Jagtap, Zhiping Mao, Nikolaus A. Adams, George Em Karniadakis:
Physics-informed neural networks for inverse problems in supersonic flows. - Xavier Garcia, Orhan Firat:
Using natural language prompts for machine translation. - Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot:
Differentially Private Speaker Anonymization. - Mohammed Siblee Islam, Stepan Ivanov, Hamdan Awan, Jennifer Drohan, Sasitharan Balasubramaniam, Lee Coffey, Srivatsan Kidambi, Witty Sri-saan:
Using Deep Learning to Detect Digitally Encoded DNA Trigger for Trojan Malware in Bio-Cyber Attacks. - Eugene Yang, David D. Lewis:
TARexp: A Python Framework for Technology-Assisted Review Experiments. - Marcos Faúndez-Zanuy, Francesc Tarres-Ruiz:
A modification of the conjugate direction method for motion estimation. - Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez:
Near Perfect GAN Inversion. - Jie Zhu, Shenggui Li, Yang You:
Sky Computing: Accelerating Geo-distributed Computing in Federated Learning. - Ghassan AlRegib, Mohit Prabhushankar:
Explanatory Paradigms in Neural Networks. - Li Li, Jiawei Wang, Haowei Quan:
Scalpel: The Python Static Analysis Framework. - Alex H. Treacher, Albert Montillo:
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models. - Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar:
First is Better Than Last for Training Data Influence. - Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal:
CAISE: Conversational Agent for Image Search and Editing. - Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith:
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying. - Zeyu Tang, Kun Zhang:
Attainability and Optimality: The Equalized Odds Fairness Revisited. - Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. - Arun Kumar Das, Sandip Das, Guilherme Dias da Fonseca, Yan Gerard, Bastien Rivier:
Complexity Results on Untangling Planar Rectilinear Red-Blue Matchings. - Zhangjie Peng, Ruisong Weng, Cunhua Pan, Gui Zhou, Marco Di Renzo, A. Lee Swindlehurst:
Robust Transmission Design for RIS-assisted Secure Multiuser Communication Systems in the Presence of Hardware Impairments. - Flash Sheridan:
Deploying Static Analysis. - Oliver E. Richardson:
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function. - Ben Nagy:
Some Stylometric Remarks on Ovid's Heroides and the Epistula Sapphus. - Jing Jin, Houfeng Wang:
Using calibrator to improve robustness in Machine Reading Comprehension. - Taizhou Yi, Guopeng Zhang, Kezhi Wang, Kun Yang:
Joint Program Partitioning and Resource Allocation for Completion Time Minimization in Multi-MEC Systems. - Ruiqi Ma, Chi Chen, Bisheng Yang, Deren Li, Haiping Wang, Yangzi Cong, Zongtian Hu:
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud. - Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras:
No-Regret Learning in Games is Turing Complete. - Jun Chen, Cheng Chen, Huayue Zhang, Qing Tan:
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising. - Zhize Wu, Huan-Yi Li, Xiaofeng Wang, Zi-Jun Wu, Le Zou, Lixiang Xu, Ming Tan:
New Benchmark for Household Garbage Image Recognition. - Xiaokai Zhai:
Positive Trigonometric Polynomials on the Stability of Spatially Interconnected Systems. - Yunfan Zhang, Feng Liu, Zhaojian Wang, Yue Chen, Shuanglei Feng, Qiuwei Wu, Yunhe Hou:
On Nash-Stackelberg-Nash Games under Decision-Dependent Uncertainties: Model and Equilibrium. - Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao:
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. - (Withdrawn) A Partition-and-Merge Algorithm for Solving the Steiner Tree Problem in Large Graphs.
- Shinhoo Kang, Alp Dener, Aidan Hamilton, Hong Zhang, Emil M. Constantinescu, Robert L. Jacob:
Multirate Partitioned Runge-Kutta Methods for Coupled Navier-Stokes Equations. - Mitchell Doughty, Nilesh R. Ghugre:
HMD-EgoPose: Head-Mounted Display-Based Egocentric Marker-Less Tool and Hand Pose Estimation for Augmented Surgical Guidance. - Mohammad Younesi, Yalda Mohsenzadeh:
Controlling Memorability of Face Images. - Zhi-Yuan Zhang, Di Liu:
Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling. - Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, Waleed M. Mohamed:
An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks. - Sara Mousavi, Zhenning Yang, Kelley Cross, Dawnie W. Steadman, Audris Mockus:
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images. - Klaus Jansen, Arindam Khan, Marvin Lira, K. V. N. Sreenivas:
A PTAS for Packing Hypercubes into a Knapsack. - Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis:
Uncertainty-driven Planner for Exploration and Navigation. - Thibault Gauthier:
Program Synthesis for the OEIS. - Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang:
Robust Probabilistic Time Series Forecasting. - Shaochen Wang, Zhangli Zhou, Zhen Kan:
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection. - Daniel Lundström, Tianjian Huang, Meisam Razaviyayn:
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions. - Qichen Hong, Hehu Xie, Fei Xu:
An Efficient Adaptive Finite Element Method for Eigenvalue Problems. - Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. - Muhammad Azmi Umer, Khurum Nazir Junejo, Muhammad Taha Jilani, Aditya P. Mathur:
Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations. - Doyeon Kim, Hyewon Han, Hyeon-Kyeong Shin, Soo-Whan Chung, Hong-Goo Kang:
Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement. - Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar:
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations. - Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou:
Auto-scaling Vision Transformers without Training. - Anne Lauscher, Archie Crowley, Dirk Hovy:
Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender. - Václav Blazej, Pratibha Choudhary, Dusan Knop, Jan Matyás Kristan, Ondrej Suchý, Tomás Valla:
Polynomial Kernels for Tracking Shortest Paths. - Fuad Ahmed, Rubayea Ferdows, Md. Rafiqul Islam, Abu Raihan M. Kamal:
AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance. - Herman Kamper:
Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring. - Yuanfan Xu, Jincheng Yu, Jiahao Tang, Jiantao Qiu, Jian Wang, Yuan Shen, Yu Wang, Huazhong Yang:
Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration. - Zhenting Zhao, Bowei He, Wenhao Luo, Rui Liu:
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems. - Pia Weißenhorn, Yuekun Yao, Lucia Donatelli, Alexander Koller:
Compositional Generalization Requires Compositional Parsers. - Arya Mazumdar, Soumyabrata Pal:
On Learning Mixture Models with Sparse Parameters. - Shan Shen, Peng Cao, Ming Ling, Longxing Shi:
A Timing Yield Model for SRAM Cells in Sub/Near-threshold Voltages Based on A Compact Drain Current Model. - Satoshi Kondo, Satoshi Kasai, Kosuke Hirasawa:
Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography. - Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. - Rui Xu, Zongyan Han, Le Hui, Jianjun Qian, Jin Xie:
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval. - Yen-Cheng Chang, Yi-Chang Chen, Yu-Chuan Chang, Yi-Ren Yeh:
SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image Recognition. - Durgesh Haribhau Salunkhe, Guillaume Michel, Shivesh Kumar, Marcello Sanguineti, Damien Chablat:
An efficient combined local and global search strategy for optimization of parallel kinematic mechanisms with joint limits and collision constraints. - Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber:
XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning. - David Monniaux:
NP#P = ∃PP and other remarks about maximized counting. - Fuhui Zhou, Yihao Li, Xinyuan Zhang, Qihui Wu, Xianfu Lei, Rose Qingyang Hu:
Cognitive Semantic Communication Systems Driven by Knowledge Graph. - Kai Arulkumaran, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava:
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL. - Valentino Servizi, Dan Roland Persson, Francisco C. Pereira, Hannah Villadsen, Per Bækgaard, Inon Peled, Otto Anker Nielsen:
"Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys. - Valentino Servizi, Dan Roland Persson, Francisco C. Pereira, Hannah Villadsen, Per Bækgaard, Jeppe Rich, Otto Anker Nielsen:
Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning. - Xiaoliang Zhou, Dongyang Wu, Zitong You, Li Zhang, Ning Ye:
A general framework for adaptive two-index fusion attribute weighted naive Bayes. - Ishu Gupta, Ashutosh Kumar Singh:
A Holistic View on Data Protection for Sharing, Communicating, and Computing Environments: Taxonomy and Future Directions. - Youngmi Jin, Tae-Jin Lee:
A Fair Empirical Risk Minimization with Generalized Entropy. - Melina C. Vidoni, Nicolás E. Díaz Ferreyra:
Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants. - Yuan Wang, Wei Zhuo, Yucong Li, Zhi Wang, Qi Ju, Wenwu Zhu:
Fully Self-Supervised Learning for Semantic Segmentation. - Daniel Braun, Olivier Morel, Pascal Vasseur, Cédric Demonceaux:
N-QGN: Navigation Map from a Monocular Camera using Quadtree Generating Networks. - Yunhao Du, Junfeng Wan, Yanyun Zhao, Binyu Zhang, Zhihang Tong, Junhao Dong:
GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021. - Jan Luxemburk, Tomás Cejka:
Fine-grained TLS Services Classification with Reject Option. - Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt:
Can deep neural networks learn process model structure? An assessment framework and analysis. - Edward De Brouwer, Javier González Hernández, Stephanie L. Hyland:
Predicting the impact of treatments over time with uncertainty aware neural differential equations. - Nicolas El Maalouly, Raphael Steiner:
Exact Matching in Graphs of Bounded Independence Number. - Kunlun Xu, Zhimin Li, Zhijun Zhang, Leizhen Dong, Wenhui Xu, Luxin Yan, Sheng Zhong, Xu Zou:
Effective Actor-centric Human-object Interaction Detection. - Oliviero Riganelli, Ionut Daniel Fagadau, Daniela Micucci, Leonardo Mariani:
Proactive Libraries: Enforcing Correct Behaviors in Android Apps. - Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Kangwook Lee, Dimitris S. Papailiopoulos:
Rare Gems: Finding Lottery Tickets at Initialization. - Shivani Bathla, Vinita Vasudevan:
IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees. - Jiehua Chen, Sanjukta Roy:
Parameterized Intractability for Multi-Winner Election under the Chamberlin-Courant Rule and the Monroe Rule. - Carlo Bono, Barbara Pernici, Jose Luis Fernandez-Marquez, Amudha Ravi Shankar, Mehmet Oguz Mülâyim, Edoardo Nemni:
TriggerCit: Early Flood Alerting using Twitter and Geolocation - a comparison with alternative sources. - Cédric Renggli, André Susano Pinto, Neil Houlsby, Basil Mustafa, Joan Puigcerver, Carlos Riquelme:
Learning to Merge Tokens in Vision Transformers. - Wojciech Jamroga, Yan Kim:
Practical Abstraction for Model Checking of Multi-Agent Systems. - Tsung-Hao Huang, Andreas Metzger, Klaus Pohl:
Counterfactual Explanations for Predictive Business Process Monitoring. - Stefan Zellmann, Daniel Seifried, Nate Morrical, Ingo Wald, Will Usher, Jamie A. P. Law-Smith, Stefanie Walch-Gassner, André Hinkenjann:
Point Containment Queries on Ray Tracing Cores for AMR Flow Visualization. - Karoliina T. Tapani, Päivi Nevalainen, Sampsa Vanhatalo, Nathan J. Stevenson:
Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. - Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter:
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. - Nils Wistoff, Moritz Schneider, Frank K. Gürkaynak, Gernot Heiser, Luca Benini:
Systematic Prevention of On-Core Timing Channels by Full Temporal Partitioning. - Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East:
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. - Chen Yu, Andre Rosendo:
Multi-Modal Legged Locomotion Framework with Automated Residual Reinforcement Learning. - Josef Rukavicka:
Restivo Salemi property for α-power free languages with #945;≥4 and k≥3 letters. - Catriona M. Kennedy:
Metacognitive Agents for Ethical Decision Support: Conceptual Model and Research Roadmap. - Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov:
Self-Training: A Survey. - Ankit Abhinav, Susobhan Bandopadhyay, Aritra Banik, Saket Saurabh:
Parameterized Complexity of Graph Partitioning into Connected Clusters. - Kaspar Rosager Ludvigsen, Shishir Nagaraja, Angela Daly:
When is Software a Medical Device? Understanding and Determining the 'Intention' and Requirements for Software as a Medical device in EU law. - Leonel Aguilar, Michal Gath-Morad, Jascha Grübel, Jasper Ermatinger, Hantao Zhao, Stefan Wehrli, Robert W. Sumner, Ce Zhang, Dirk Helbing, Christoph Hölscher:
Experiments as Code: A Concept for Reproducible, Auditable, Debuggable, Reusable, & Scalable Experiments. - Jessica A. Enright, Kitty Meeks, Hendrik Molter:
Counting Temporal Paths. - Frederik Noe, Rasmus Herskind, Anders Søgaard:
Exploring the Unfairness of DP-SGD Across Settings. - Mina Bishay, Kenneth Preston, Matthew Strafuss, Graham Page, Jay Turcot, Mohammad Mavadati:
AFFDEX 2.0: A Real-Time Facial Expression Analysis Toolkit. - Cristian Alb:
Interfering Paths in Decision Trees: A Note on Deodata Predictors. - Vipul Bansal:
Activation Functions: Dive into an optimal activation function. - Jitske de Vries, Elia Trevisan, Jules van der Toorn, Tuhin Das, Bruno Brito, Javier Alonso-Mora:
Regulations Aware Motion Planning for Autonomous Surface Vessels in Urban Canals. - Pascal Giorgi, Bruno Grenet, Armelle Perret du Cray, Daniel S. Roche:
Random primes without primality testing. - Rebecca Moussa, Danielle Azar, Federica Sarro:
Investigating the Use of One-Class Support Vector Machine for Software Defect Prediction. - Liangsheng Lu, Wei Zhai, Hongchen Luo, Yu Kang, Yang Cao:
Phrase-Based Affordance Detection via Cyclic Bilateral Interaction. - Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang:
Community Trend Prediction on Heterogeneous Graph in E-commerce. - Elmira Moussavi, Dominik Sisejkovic, Fabian Brings, Daniyar Kizatov, Animesh Singh, Xuan Thang Vu, Sven Ingebrandt, Rainer Leupers, Vivek Pachauri, Farhad Merchant:
pHGen: A pH-Based Key Generation Mechanism Using ISFETs. - Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee:
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. - Qinghua Zhao, Shuai Ma, Shuo Ren:
KESA: A Knowledge Enhanced Approach For Sentiment Analysis. - Mikhail Isaev, Roman G. Novikov, Grigory V. Sabinin:
Numerical reconstruction from the Fourier transform on the ball using prolate spheroidal wave functions. - Xiyang Wang, Chunyun Fu, Zhankun Li, Ying Lai, Jiawei He:
DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association. - Ilya Jackson, María Jesús Sáenz:
From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems. - Hyeonsoo Jang, YeongMin Ko, Younkwan Lee, Moongu Jeon:
Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion. - Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao:
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. - Paskal Piperkov, Iliya Bouyukliev, Stefka Bouyuklieva:
An Algorithm for Computing the Covering Radius of a Linear Code Based on Vilenkin-Chrestenson Transform. - Yuanzhong Liu, Zhigang Tu, Hongyan Li, Chi Chen, Baoxin Li, Junsong Yuan:
Slow-Fast Visual Tempo Learning for Video-based Action Recognition. - Zhiying Fang, Guang Cheng:
Optimal Learning Rates of Deep Convolutional Neural Networks: Additive Ridge Functions. - Shengzhe Wang, Ling Wang, Zhihao Lin, Xi Zheng:
Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction. - Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel:
Demonstrating BrainScaleS 2 Inter-Chip Pulse Communication using Extoll. - Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. - Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Projected gradient-tracking in multi-cluster games and its application to power management. - Mart Hagedoorn, Irina Kostitsyna:
The Shortest Path with Increasing Chords in a Simple Polygon. - Valentino Sabbatino, Enrica Troiano, Antje Schweitzer, Roman Klinger:
"splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Words. - Ivan Habernal:
How reparametrization trick broke differentially-private text representation leaning. - Mohit Kumar Ahuja, Arnaud Gotlieb, Helge Spieker:
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques. - Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words. - Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. - Jean-François Babadjian, Élise Bonhomme:
Discrete approximation of the Griffith functional by adaptative finite elements. - Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh:
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. - Adelino Leite-Moreira, Afonso Mendes, Afonso Pedrosa, Amândio Rocha-Sousa, Ana Azevedo, André Amaral-Gomes, Cláudia Pinto, Helena Figueira, Nuno Rocha Pereira, Pedro Mendes, Tiago Pimenta:
An NLP Solution to Foster the Use of Information in Electronic Health Records for Efficiency in Decision-Making in Hospital Care. - Yong Zhang, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao:
Self-Attention for Incomplete Utterance Rewriting. - Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski:
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models. - Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen:
Transformers in Medical Image Analysis: A Review. - Zhiying Fang, Yidong Ouyang, Ding-Xuan Zhou, Guang Cheng:
Attention Enables Zero Approximation Error. - David Chiang, Peter Cholak:
Overcoming a Theoretical Limitation of Self-Attention. - Vittorio Bilò, Cosimo Vinci:
The Impact of Selfish Behavior in Load Balancing Games. - Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? - Phoebe de Nooijer, Soeren Nickel, Alexandra Weinberger, Zuzana Masárová, Tamara Mchedlidze, Maarten Löffler, Günter Rote:
Removing Popular Faces in Curve Arrangements. - Léo Gagnon, Guillaume Lajoie:
Clarifying MCMC-based training of modern EBMs : Contrastive Divergence versus Maximum Likelihood. - Yunfan Ren, Fangcheng Zhu, Wenyi Liu, Zhepei Wang, Yi Lin, Fei Gao, Fu Zhang:
Bubble Planner: Planning High-speed Smooth Quadrotor Trajectories using Receding Corridors. - Abubakar Sadiq Mohammed, Philipp Reinecke, Pete Burnap, Omer F. Rana, Eirini Anthi:
Cybersecurity Challenges in the Offshore Oil and Gas Industry: An Industrial Cyber-Physical Systems (ICPS) Perspective. - Dirk Heimann, Hans Hohenfeld, Felix Wiebe, Frank Kirchner:
Quantum Deep Reinforcement Learning for Robot Navigation Tasks. - Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez:
FreeSOLO: Learning to Segment Objects without Annotations. - Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang:
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence. - Antoon Bronselaer, Maribel Acosta:
Consistent data fusion with Parker. - Gabriel Borrageiro, Nick Firoozye, Paolo Barucca:
Sequential Asset Ranking within Nonstationary Time Series. - Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. - Jaekeol Choi, Euna Jung, Sungjun Lim, Wonjong Rhee:
Finding Inverse Document Frequency Information in BERT. - Chaoyu Quan, Tao Tang, Boyi Wang, Jiang Yang:
A decreasing upper bound of energy for time-fractional phase-field equations. - Ruyi Ji, Yingfei Xiong, Zhenjiang Hu:
Black-Box Algorithm Synthesis - Divide-and-Conquer and More. - Roberto Flamini, Danilo De Donno, Jonathan Gambini, Francesco Giuppi, Christian Mazzucco, Angelo Milani, Laura Resteghini:
Towards a Heterogeneous Smart Electromagnetic Environment for Millimeter-Wave Communications: An Industrial Viewpoint. - Crystal Chang Din, Reiner Hähnle, Ludovic Henrio, Einar Broch Johnsen, Violet Ka I Pun, Silvia Lizeth Tapia Tarifa:
LAGC Semantics of Concurrent Programming Languages. - Hriday Bavle, José Luis Sánchez-López, Muhammad Shaheer, Javier Civera, Holger Voos:
Situational Graphs for Robot Navigation in Structured Indoor Environments. - Mustafa Özger, Ecehan B. Pehlivanoglu, Özgür B. Akan:
Energy-Efficient Transmission Range and Duration for Cognitive Radio Sensor Networks. - Kyle Hamilton, Aparna Nayak, Bojan Bozic, Luca Longo:
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review. - Ruyi Ji, Tianran Zhu, Yingfei Xiong, Zhenjiang Hu:
Synthesizing Efficient Dynamic Programming Algorithms. - Siduo Jiang, Cristopher Benge, William Casey King:
BERTVision - A Parameter-Efficient Approach for Question Answering. - Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-Or, Tali Dekel, Michal Irani, Inbar Mosseri:
Self-Distilled StyleGAN: Towards Generation from Internet Photos. - Florian Tramèr, Andreas Terzis, Thomas Steinke, Shuang Song, Matthew Jagielski, Nicholas Carlini:
Debugging Differential Privacy: A Case Study for Privacy Auditing. - Nicholas F. Marshall, Oscar Mickelin:
An optimal scheduled learning rate for a randomized Kaczmarz algorithm. - Takateru Yamakoshi, Robert D. Hawkins, Thomas L. Griffiths:
Probing BERT's priors with serial reproduction chains. - Anoosheh Heidarzadeh, Alex Sprintson:
The Linear Capacity of Single-Server Individually-Private Information Retrieval with Side Information. - Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei:
Sample Efficiency of Data Augmentation Consistency Regularization. - Anvith Thudi, Ilia Shumailov, Franziska Boenisch, Nicolas Papernot:
Bounding Membership Inference. - Carlos Alonso-Martinez, Marcos Faúndez-Zanuy, Jirí Mekyska:
A comparative study of in-air trajectories at short and long distances in online handwriting. - Joan Fabregas, Marcos Faúndez-Zanuy:
On-line signature verification system with failure to enroll managing. - Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt:
Flat latent manifolds for music improvisation between human and machine. - Laurence Likforman-Sulem, Anna Esposito, Marcos Faúndez-Zanuy, Stéphan Clémençon, Gennaro Cordasco:
EMOTHAW: A novel database for emotional state recognition from handwriting. - Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu:
Neural reality of argument structure constructions. - Md. Saif Hassan Onim, Hussain Nyeem, Koushik Roy, Mahmudul Hasan, Abtahi Ishmam, Md. Akiful Hoque Akif, Tareque Bashar Ovi:
BLPnet: A new DNN model and Bengali OCR engine for Automatic License Plate Recognition. - Kaining Ying, Zhenhua Wang, Cong Bai, Pengfei Zhou:
ISDA: Position-Aware Instance Segmentation with Deformable Attention. - Xiaolu Wang, Peng Wang, Anthony Man-Cho So:
Exact Community Recovery over Signed Graphs. - Guodao Zhang, Shahab S. Band, Sina Ardabili, Kwok-Wing Chau, Amir Mosavi:
Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature. - Federico Simonetta, Federico Avanzini, Stavros Ntalampiras:
A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions. - Jash Shah, Sagar Kamat:
A Method for Waste Segregation using Convolutional Neural Networks. - Matthew Wear, Ryan Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn:
Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage. - Stefan Bosse:
Self-organising Urban Traffic control on micro-level using Reinforcement Learning and Agent-based Modelling. - Constantin Christof, Julia Kowalczyk:
On the Omnipresence of Spurious Local Minima in Certain Neural Network Training Problems. - Manohar N. Murthi, Kamal Premaratne:
Clustering Edges in Directed Graphs. - Sina Ardabili, Leila Abdolalizadeh, Csaba Mako, Bernat Torok, Mosavi Amir:
Systematic review of deep learning and machine learning for building energy. - Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys:
Evaluating Feature Attribution Methods in the Image Domain. - Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching Papers and Reviewers at Large Conferences. - Lu Xia, Stefano Massei, Michiel E. Hochstenbach, Barry Koren:
On the influence of roundoff errors on the convergence of the gradient descent method with low-precision floating-point computation. - Yuanran Zhu, Yu-Hang Tang, Changho Kim:
Learning Stochastic Dynamics with Statistics-Informed Neural Network. - Mahika Phutane, Julie Wright, Brenda Veronica Castro, Lei Shi, Simone R. Stern, Holly M. Lawson, Shiri Azenkot:
Tactile Materials in Practice: Understanding the Experiences of Teachers of the Visually Impaired. - Esmaeil Karimi, Anoosheh Heidarzadeh, Krishna R. Narayanan, Alex Sprintson:
Noisy Group Testing with Side Information. - Constantine Lignos, Nolan Holley, Chester Palen-Michel, Jonne Sälevä:
Toward More Meaningful Resources for Lower-resourced Languages. - Soeren Nickel, Martin Nöllenburg, Manuel Sorge, Anaïs Villedieu, Hsiang-Yun Wu, Jules Wulms:
Planarizing Graphs and their Drawings by Vertex Splitting. - Erik Jones, Jacob Steinhardt:
Capturing Failures of Large Language Models via Human Cognitive Biases. - Dacheng Yin, Xuanchi Ren, Chong Luo, Yuwang Wang, Zhiwei Xiong, Wenjun Zeng:
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph. - Philipp Grete, Joshua C. Dolence, Jonah M. Miller, Joshua Brown, Ben Ryan, Andrew Gaspar, Forrest Wolfgang Glines, Sriram Swaminarayan, Jonas Lippuner, Clell J. Solomon, Galen M. Shipman, Christoph Junghans, Daniel Holladay, James M. Stone:
Parthenon - a performance portable block-structured adaptive mesh refinement framework. - Zhengxuan Wu, Isabel Papadimitriou, Alex Tamkin:
Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies. - Da Long, Zheng Wang, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney:
AutoIP: A United Framework to Integrate Physics into Gaussian Processes. - Alejandro Pozas-Kerstjens, Senaida Hernández Santana, José Ramón Pareja Monturiol, Marco Castrillón López, Giannicola Scarpa, Carlos E. González-Guillén, David Pérez-García:
Physics solutions for machine learning privacy leaks. - J. Lu, Jesse J. Hagenaars, Guido C. H. E. de Croon:
Evolving-to-Learn Reinforcement Learning Tasks with Spiking Neural Networks. - Robert M. Gower, Mathieu Blondel, Nidham Gazagnadou, Fabian Pedregosa:
Cutting Some Slack for SGD with Adaptive Polyak Stepsizes. - Baihe Huang, Zhao Song, Omri Weinstein, Hengjie Zhang, Ruizhe Zhang:
A Dynamic Fast Gaussian Transform. - Nannan Zhang, Yuanwei Liu, Xidong Mu, Wei Wang:
Queue-Aware STAR-RIS Assisted NOMA Communication Systems. - Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Patrick J. Fowler, Sanmay Das:
Trade-offs between Group Fairness Metrics in Societal Resource Allocation. - Pemma Reiter, Hui Jun Tay, Westley Weimer, Adam Doupé, Ruoyu Wang, Stephanie Forrest:
Automatically Mitigating Vulnerabilities in x86 Binary Programs via Partially Recompilable Decompilation. - Sina Shaham, Gabriel Ghinita, Cyrus Shahabi:
Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops. - Federico Errica:
Bayesian Deep Learning for Graphs. - Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart:
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. - Daniel Khashabi, Yeganeh Kordi, Hannaneh Hajishirzi:
UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training. - Tashnim Chowdhury, Robin R. Murphy, Maryam Rahnemoonfar:
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment. - Peter Schaldenbrand, Zhixuan Liu, Jean Oh:
StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation. - Rashmi Boragolla, Pradeepa Yahampath:
Orthonormal Matrix Codebook Design for Adaptive Transform Coding. - Karthik Urs, Challen Enninful Adu, Elliott J. Rouse, Talia Y. Moore:
Alternative Metrics to Select Motors for Quasi-Direct Drive Actuators. - Ambareesh Revanur, Ananyananda Dasari, Conrad S. Tucker, László A. Jeni:
Instantaneous Physiological Estimation using Video Transformers. - Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression. - Justin M. Baker, Elena Cherkaev, Akil Narayan, Bao Wang:
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs. - Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
Highly-Efficient Binary Neural Networks for Visual Place Recognition. - Jamun Kumar N, Bensingh Dhas, Arun R. Srinivasa, J. N. Reddy, Debasish Roy:
A novel four-field mixed variational approach to Kirchhoff rods implemented with finite element exterior calculus. - Pierrick Cordel, Alexandre Dély, Adrien Merlini, Francesco Paolo Andriulli:
Calderón Preconditioners for the TD-EFIE discretized with Convolution Quadratures. - Khashayar Nobarani, Seyed Esmaeil Razavi:
Deep Learning to advance the Eigenspace Perturbation Method for Turbulence Model Uncertainty Quantification. - Sandya Mannarswamy, Dibyendu Das:
Learning to Combine Instructions in LLVM Compiler. - Zdenek Prusa, Nicki Holighaus, Péter Balázs:
Fast Matching Pursuit with Multi-Gabor Dictionaries. - Nana Dikhaminjia, Jemal Rogava, Mikheil Tsiklauri:
Parallel Type Decomposition Scheme for Quasi-Linear Abstract Hyperbolic Equation. - Tiziano Fagni, Stefano Cresci:
Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning. - Mathieu Gonzalez, Éric Marchand, Amine Kacete, Jérôme Royan:
TwistSLAM: Constrained SLAM in Dynamic Environment. - Jia-Ruei Chiu, Jean-Pierre Sleiman, Mayank Mittal, Farbod Farshidian, Marco Hutter:
A Collision-Free MPC for Whole-Body Dynamic Locomotion and Manipulation. - Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang:
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. - Quinten Konyn, Ross L. Hatton:
Scales and Locomotion: Non-Reversible Longitudinal Drag. - Paulo A. F. Rezeck, Héctor Azpúrua, Maurício F. S. Corrêa, Luiz Chaimowicz:
HeRo 2.0: A Low-Cost Robot for Swarm Robotics Research. - Dmitri Martila, Stefan Groote:
Evaluation of the Gauss integral. - Karthik Urs, Challen Enninful Adu, Elliott J. Rouse, Talia Y. Moore:
Design and Characterization of 3D Printed, Open-Source Actuators for Legged Locomotion. - Ami Paz, Hugo Rincon Galeana, Stefan Schmid, Ulrich Schmid, Kyrill Winkler:
Time Complexity of Consensus in Dynamic Networks Under Oblivious Message Adversaries. - Junhyeok Ahn, SeungHyeon Bang, Carlos Gonzalez, Yuanchen Yuan, Luis Sentis:
Data-Driven Safety Verification for Legged Robots. - Enzo Tartaglione:
The rise of the lottery heroes: why zero-shot pruning is hard. - Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas:
Learning Transferable Reward for Query Object Localization with Policy Adaptation. - Stephen Gould, Dylan Campbell, Itzik Ben-Shabat, Chamin Hewa Koneputugodage, Zhiwei Xu:
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies. - Qi Heng Ho, Zachary N. Sunberg, Morteza Lahijanian:
Gaussian Belief Trees for Chance Constrained Asymptotically Optimal Motion Planning. - Seyda Senturk, Ibrahim Kok, Fatmana Sentürk:
Internet of Nano, Bio-Nano, Biodegradable and Ingestible Things: A Survey. - Sharath Nittur Sridhar, Anthony Sarah, Sairam Sundaresan:
TrimBERT: Tailoring BERT for Trade-offs. - Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis:
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration. - Karishma Sharma, Emilio Ferrara, Yan Liu:
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. - Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song:
Optimal channel selection with discrete QCQP. - Yanran Wang, James O'Keeffe, Qiuchen Qian, David E. Boyle:
KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments. - Amir Ardakani, Arash Ardakani, Brett H. Meyer, James J. Clark, Warren J. Gross:
Standard Deviation-Based Quantization for Deep Neural Networks. - Kiana Karami, David T. Westwick, Johan Schoukens:
Applying Polynomial Decoupling Methods to the Polynomial NARX Model. - Sankini Rancha Godage, Frøy Løvåsdal, Sushma Venkatesh, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
Analyzing Human Observer Ability in Morphing Attack Detection - Where Do We Stand? - Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Video Segmentation Models with Per-frame Inference. - Saurabh Agarwal, Ziyi Zhang, Shivaram Venkataraman:
BagPipe: Accelerating Deep Recommendation Model Training. - Phat K. Huynh, Arveity R. Setty, Trung-Quôc Le:
Koopman Spectral Analysis of Intermittent Dynamics in Complex Systems: A Case Study in Pathophysiological Processes of Obstructive Sleep Apnea. - Han Wu, Stefan Wager:
Thompson Sampling with Unrestricted Delays. - Cong Xu, Min Yang:
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers. - Jérôme Droniou, Liam Yemm:
A Hybrid High-Order scheme for the stationary, incompressible magnetohydrodynamics equations. - Pavel Dvorák, Monika Krawczyk, Tomás Masarík, Jana Novotná, Pawel Rzazewski, Aneta Zuk:
List Locally Surjective Homomorphisms in Hereditary Graph Classes. - Jangho Park, Juliane Müller, Bhavna Arora, Boris Faybishenko, Gilberto Zonta Pastorello, Charuleka Varadharajan, Reetik Sahu, Deborah A. Agarwal:
Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks. - Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger:
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach. - Patrick J. Ward, April M. Young, Svetla Slavova, Madison Liford, Lara Daniels, Ripley Lucas, Ramakanth Kavuluru:
Deep neural networks for fine-grained surveillance of overdose mortality. - Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe:
Directed Graph Auto-Encoders. - Wenrui Zhang, Shijia Geng, Zhaoji Fu, Linlin Zheng, Chenyang Jiang, Shenda Hong:
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs. - Chih-Kuan Yeh, Been Kim, Pradeep Ravikumar:
Human-Centered Concept Explanations for Neural Networks. - Kaining Mao, Wei Zhang, Deborah Baofeng Wang, Ang Li, Rongqi Jiao, Yanhui Zhu, Bin Wu, Tiansheng Zheng, Lei Qian, Wei Lyu, Minjie Ye, Jie Chen:
Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN. - Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto:
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. - Wenrui Zhang, Shijia Geng, Shenda Hong:
Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection. - Kichang Yang, Wonjun Jang, Won-Ik Cho:
APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets. - Jiahui Duan, Xialiang Tong, Fei Ni, Zhenan He, Lei Chen, Mingxuan Yuan:
A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry. - Yuan Gao, Kaiyu Yang, Yuanlong Chen, Min Liu, Noureddine El Karoui:
Bidding Agent Design in the LinkedIn Ad Marketplace. - Noel Chalmers, Abhishek Mishra, Damon McDougall, Tim Warburton:
HipBone: A performance-portable GPU-accelerated C++ version of the NekBone benchmark. - Mudit Dhawan, Shakshi Sharma, Aditya Kadam, Rajesh Sharma, Ponnurangam Kumaraguru:
GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection. - Jing Wang, Jinyang Guo, Chao Li:
On The Design of a Light-weight FPGA Programming Framework for Graph Applications. - Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu:
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. - Bedrich Sousedík, Kookjin Lee:
Stochastic Galerkin methods for linear stability analysis of systems with parametric uncertainty. - Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang:
Learn From the Past: Experience Ensemble Knowledge Distillation. - Kun Han, Shanlin Sun:
Implicit Optimizer for Diffeomorphic Image Registration. - Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang:
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. - Sabah Suhail, Sherali Zeadally, Raja Jurdak, Rasheed Hussain, Raimundas Matulevicius, Davor Svetinovic:
Security Attacks and Solutions for Digital Twins. - Taisuke Kobayashi:
Consolidated Adaptive T-soft Update for Deep Reinforcement Learning. - Rezaur Rahman, Samiul Hasan:
A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation. - Buse Gul Atli Tekgul, N. Asokan:
On the Effectiveness of Dataset Watermarking in Adversarial Settings. - Yinghao Zhao, Li Yan, Yu Chen, Hong Xie, Bo Xu:
FAEP: Fast Autonomous Exploration Planner for UAV Equipped with Limited FOV Sensor. - Pantelis Elinas, Edwin V. Bonilla:
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision. - Zongbo Hao, Tao Zhang, Mingwang Chen, Kaixu Zhou:
RRL: Regional Rotation Layer in Convolutional Neural Networks. - Shengyao Zhuang, Guido Zuccon:
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training. - Shucen Ma, Jianqi Shi, Yanhong Huang, Shengchao Qin, Zhe Hou:
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest. - Teppei Suzuki:
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge. - Abir Sen, Tapas Kumar Mishra, Ratnakar Dash:
A Novel Hand Gesture Detection and Recognition system based on ensemble-based Convolutional Neural Network. - George Papadakis, Marco Fisichella, Franziska Schoger, George Mandilaras, Nikolaus Augsten, Wolfgang Nejdl:
How to reduce the search space of Entity Resolution: with Blocking or Nearest Neighbor search? - Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Binqiang Zhao, Ziyang Zheng, Shirui Pan:
MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation. - Ryman Hashem, Fumiya Iida:
Embedded Soft Sensing in Soft Ring Actuator for Aiding with theSelf-Organisation of the In-Hand Rotational Manipulation. - Mario Bukal:
The concavity of generalized entropy powers. - Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan:
Random Features for High-Dimensional Nonlocal Mean-Field Games. - Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Kai Zeng, Jingren Zhou:
Banyan: A Scoped Dataflow Engine for Graph Query Service. - Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang:
Improved Dual Correlation Reduction Network. - Martin Jílek, Katerina Stránská, Michael Somr, Miroslav Kulich, Jan Zeman, Libor Preucil:
Self-Stabilizing Self-Assembly. - Junyi Zhao, Yihan Gao:
Break Up the Pipeline Structure to Reach a Nearly Optimal End-to-End Latency. - Madeleine Abernot, Thierry Gil, Aida Todri-Sanial:
Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection. - Corrado Possieri, Mattia Frasca, Alessandro Rizzo:
Reachability analysis in stochastic directed graphs by reinforcement learning. - Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm:
Raman Spectrum Matching with Contrastive Representation Learning. - Thorsten Hempel, Ahmed A. Abdelrahman, Ayoub Al-Hamadi:
6D Rotation Representation For Unconstrained Head Pose Estimation. - Kerry He, Rhys Newbury, Tin Tran, Jesse Haviland, Ben Burgess-Limerick, Dana Kulic, Peter Corke, Akansel Cosgun:
Visibility Maximization Controller for Robotic Manipulation. - Honhglian Shen, Xiuling Shan, Zihong Tian:
A new chaotic image encryption algorithm based on transversals in a Latin square. - Tomohiro Sugiyama, Kazuhiro Sato:
Kron Reduction and Effective Resistance of Directed Graphs. - Sébastien Piérard, Marc Braham, Marc Van Droogenbroeck:
An exploration of the performances achievable by combining unsupervised background subtraction algorithms. - Peter Schüller, João Paolo Costeira, James Crowley, Jasmin Grosinger, Félix Ingrand, Uwe Köckemann, Alessandro Saffiotti, Martin Welss:
Composing Complex and Hybrid AI Solutions. - Yuchi Huo, Rui Wang, Xinguo Liu, Hujun Bao:
Sparse Sampling and Completion for Light Transport in VPL-based Rendering. - Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon:
Screening Gender Transfer in Neural Machine Translation. - Weijia Zhang, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang:
Towards Learning Causal Representations from Multi-Instance Bags. - Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Zezhong Xu, Yajing Xu, Ningyu Zhang, Zonggang Yuan, Feiyu Xiong, Huajun Chen:
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs. - Shahram Khorshidi, Ahmad Gazar, Nicholas Rotella, Maximilien Naveau, Ludovic Righetti, Majid Khadiv:
On the Use of Torque Measurement in Centroidal State Estimation. - Aurélien Max, Guillaume Wisniewski:
Mining Naturally-occurring Corrections and Paraphrases from Wikipedia's Revision History. - Hemant Yadav, Sunayana Sitaram:
A Survey of Multilingual Models for Automatic Speech Recognition. - Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff:
Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression. - May Alhajri, Carsten Rudolph, Ahmad Salehi Shahraki:
A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context. - Xing Fang, Wen-Hua Chen:
Model Predictive Control with Preview: Recursive Feasibility and Stability. - Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. - Feifei Shao, Yawei Luo, Ping Liu, Jie Chen, Yi Yang, Yulei Lu, Jun Xiao:
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning. - Claudia Cauli, Magdalena Ortiz, Nir Piterman:
Actions over Core-closed Knowledge Bases. - Mitja Jancic, Miha Zaloznik, Gregor Kosec:
A sharp-interface mesoscopic model for dendritic growth. - Edith Elkind, Abheek Ghosh, Paul Goldberg:
Complexity of Deliberative Coalition Formation. - Julian Ruddick, Evgenii Genov, Luis Ramirez Camargo, Thierry Coosemans, Maarten Messagie:
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs. - Tim Jahn:
A Probabilistic Oracle Inequality and Quantification of Uncertainty of a modified Discrepancy Principle for Statistical Inverse Problems. - Wei Gao, David Hsu, Wee Sun Lee:
Context-Hierarchy Inverse Reinforcement Learning. - Di Wu, Jie Yang, Mohamad Sawan:
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation. - Samuel D. Hand, Jessica A. Enright, Kitty Meeks:
Making Life More Confusing for Firefighters. - Nina Markl, Stephen Joseph McNulty:
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR. - Makoto Morishita, Katsuki Chousa, Jun Suzuki, Masaaki Nagata:
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. - Ze Wang, Kailun Yang, Hao Shi, Kaiwei Wang:
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane. - Álvaro López-Raventós, Boris Bellalta:
Dynamic Traffic Allocation in IEEE 802.11be Multi-link WLANs. - Holger Boche, Rafael F. Schaefer, H. Vincent Poor:
Algorithmic Computability and Approximability of Capacity-Achieving Input Distributions. - Marco Costanzo:
Getting the best from skylines and top-k queries. - Per R. Leikanger:
Towards neoRL networks; the emergence of purposive graphs. - Felix Bartel, Martin Schäfer, Tino Ullrich:
Constructive subsampling of finite frames with applications in optimal function recovery. - Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Joint Answering and Explanation for Visual Commonsense Reasoning. - Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic:
Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening. - Bang Xiang Yong, Alexandra Brintrup:
Do autoencoders need a bottleneck for anomaly detection? - Peter Benner, Heike Faßbender, Michel-Niklas Senn:
The Hamiltonian Extended Krylov Subspace Method. - Zahra Mobini, Mohammadali Mohammadi, Theodoros A. Tsiftsis, Zhiguo Ding, Chintha Tellambura:
New Antenna Selection Schemes for Full-Duplex Cooperative MIMO-NOMA Systems. - Francisco Javier Chiyah Garcia, Alessandro Suglia, José Lopes, Arash Eshghi, Helen F. Hastie:
Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge. - Yuquan Wang, Niels Dehio, Abderrahmane Kheddar:
Predicting Impact-Induced Joint Velocity Jumps on Kinematic-Controlled Manipulator. - Javier López-Randulfe, Nico Reeb, Negin Karimi, Chen Liu, Hector A. Gonzalez, Robin Dietrich, Bernhard Vogginger, Christian Mayr, Alois C. Knoll:
Time-coded Spiking Fourier Transform in Neuromorphic Hardware. - Bang Xiang Yong, Alexandra Brintrup:
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection. - Paola F. Anotnietti, Franco Dassi, Enrico Manuzzi:
Machine Learning based refinement strategies for polyhedral grids with applications to Virtual Element and polyhedral Discontinuous Galerkin methods. - Simon Hubbert, Janin Jäger, Jeremy Levesley:
Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic function. - Birgitta Dresp-Langley:
From Biological Synapses to Intelligent Robots. - Vlad Zamfir, Mihai Calancea, Denisa Diaconescu, Brandon M. Moore, Karl Palmskog, Traian-Florin Serbanuta, Michael Stay:
VLSM: Validating Labelled State Transition and Message Production Systems. - Deniz Agaoglu, Petr Hlinený:
Automorphism Group of Marked Interval Graphs in FPT. - Nico Pietroni, Marcel Campen, Alla Sheffer, Gianmarco Cherchi, David Bommes, Xifeng Gao, Riccardo Scateni, Franck Ledoux, Jean-François Remacle, Marco Livesu:
Hex-Mesh Generation and Processing: a Survey. - Alexander Van Craen, Marcel Breyer, Dirk Pflüger:
PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine. - Milad Moradi, Matthias Samwald:
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain. - Fares Fourati, Saeed Hamood Alsamhi, Mohamed-Slim Alouini:
Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks. - Mesay Samuel Gondere, Lars Schmidt-Thieme, Durga Prasad Sharma, Abiot Sinamo Boltena:
Improving Amharic Handwritten Word Recognition Using Auxiliary Task. - Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan S. Kankanhalli, Alberto Del Bimbo:
On Modality Bias Recognition and Reduction. - Furkan Ozcelik, Bhavin Choksi, Milad Mozafari, Leila Reddy, Rufin VanRullen:
Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs. - Marcos Faúndez-Zanuy, Jirí Mekyska, Donato Impedovo:
Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health. - Enric Sesa-Nogueras, Marcos Faúndez-Zanuy, Manuel-Vicente Garnacho-Castaño:
The effect of fatigue on the performance of online writer recognition. - Laura Schelenz, Ivano Bison, Matteo Busso, Amalia de Götzen, Daniel Gatica-Perez, Fausto Giunchiglia, Lakmal Meegahapola, Salvador Ruiz-Correa:
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations. - Hanif Heidari, Andrei Velichko:
Novel techniques for improvement the NNetEn entropy calculation for short and noisy time series. - Tim van der Velden, Stephan Ritzert, Stefanie Reese, Johanna Waimann:
Modeling moving boundary value problems in electrochemical machining. - Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao:
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. - Ruo Li, Wei Zhong:
A general improvement in the WENO-Z-type schemes. - Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang, Pedro J. Moreno:
Ask2Mask: Guided Data Selection for Masked Speech Modeling. - Thabang Mathonsi, Terence L. van Zyl:
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection. - Adrien Coppens:
Integrating Immersive Technologies for Algorithmic Design in Architecture. - J. Joe Payne, Nathan J. Kong, Aaron M. Johnson:
The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards. - Allen Mi, Shuwen Deng, Jakub Szefer:
Short Paper: Device- and Locality-Specific Fingerprinting of Shared NISQ Quantum Computers. - Leonardo J. Colombo, Manuela Gamonal Fernández, Juan I. Giribet:
Learning-Based Fault-Tolerant Control for an Hexarotor with Model Uncertainty. - Marco Bondaschi, Michael Gastpar:
Alpha-NML Universal Predictors. - Dylan R. Ashley, Kai Arulkumaran, Jürgen Schmidhuber, Rupesh Kumar Srivastava:
Learning Relative Return Policies With Upside-Down Reinforcement Learning. - Julian D. Schiller, Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger, Matthias A. Müller:
A Lyapunov function for robust stability of moving horizon estimation. - Ming Hu, Tian Liu, Zhiwei Ling, Zhihao Yue, Mingsong Chen:
FedCAT: Towards Accurate Federated Learning via Device Concatenation. - Chuanxia Zheng:
Synthesizing Photorealistic Images with Deep Generative Learning. - Joseph Da Silva, Rikke Bjerg Jensen:
'Cyber security is a dark art': The CISO as soothsayer. - Antoine Cordier, Benjamin Missaoui, Pierre Gutierrez:
Data refinement for fully unsupervised visual inspection using pre-trained networks. - Marcos Faúndez-Zanuy, Julian Fiérrez, Miguel A. Ferrer, Moisés Díaz, Ruben Tolosana, Réjean Plamondon:
Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health. - Matthias Hirche, Julian Berberich, Matthias A. Müller, Frank Allgöwer:
Data-driven distributed MPC of dynamically coupled linear systems. - Laurent Doyen:
Stochastic Games with Synchronizing Objectives. - Francesco Tudisco, Desmond J. Higham:
Core-periphery detection in hypergraphs. - Matthew Levine:
Towards Safe, Real-Time Systems: Stereo vs Images and LiDAR for 3D Object Detection. - Cristiano Politowski, Yann-Gaël Guéhéneuc, Fábio Petrillo:
Towards Automated Video Game Testing: Still a Long Way to Go. - Sourav Mondal, Goutam Das, Elaine Wong:
CCOMPASSION: A Hybrid Cloudlet Placement Framework over Passive Optical Access Networks. - Xiaobing Feng, Thomas L. Lewis, Kellie Ward:
A narrow-stencil framework for convergent numerical approximations of fully nonlinear second order PDEs. - Fabian Küppers, Anselm Haselhoff, Jan Kronenberger, Jonas Schneider:
Confidence Calibration for Object Detection and Segmentation. - James Paine:
Behaviorally Grounded Model-Based and Model Free Cost Reduction in a Simulated Multi-Echelon Supply Chain. - Sumit Mishra, Praveen Kumar Rajendran, Luiz Felipe Vecchietti, Dongsoo Har:
Sensing accident-prone features in urban scenes for proactive driving and accident prevention. - Vincent Cohen-Addad, Kasper Green Larsen, David Saulpic, Chris Schwiegelshohn:
Towards Optimal Lower Bounds for k-median and k-means Coresets. - Sergey Bartunov, Fabian B. Fuchs, Timothy P. Lillicrap:
Equilibrium Aggregation: Encoding Sets via Optimization. - Fukang Liu, Bin Fang, Fuchun Sun, Xiang Li, Songyu Sun, Huaping Liu:
Hybrid Robotic Grasping with a Soft Multimodal Gripper and a Deep Multistage Learning Scheme. - Boxiang Lyu, Qinglin Meng, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan:
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. - Taro Narahara, Toshihiko Yamasaki:
Subjective Functionality and Comfort Prediction for Apartment Floor Plans and Its Application to Intuitive Searches. - Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. - Elad Michael, Tyler H. Summers, Tony A. Wood, Chris Manzie, Iman Shames:
Probabilistic Data Association for Semantic SLAM at Scale. - Jiadi Zhang, Mohammad Reza Amini, Ilya V. Kolmanovsky, Munechika Tsutsumi, Hayato Nakada:
Development of a Model Predictive Airpath Controller for a Diesel Engine on a High-Fidelity Engine Model with Transient Thermal Dynamics. - Tom Kocmi, Dominik Machácek, Ondrej Bojar:
The Reality of Multi-Lingual Machine Translation. - Aykut Isleyen, Nathan van de Wouw, Ömür Arslan:
From Low to High Order Motion Planners: Safe Robot Navigation using Motion Prediction and Reference Governor. - Antoine Cordier, Pierre Gutierrez, Victoire Plessis:
Improving generalization with synthetic training data for deep learning based quality inspection. - Atsushi Takada, Daichi Yamazaki, Likun Liu, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Taiga Yamamoto, Daisuke Sakurai, Naoki Hamada:
GenéLive! Generating Rhythm Actions in Love Live! - Maike Buchin, Lukas Plätz:
The k-outlier Fréchet distance. - Yuheng Jiang, Suyi Jiang, Guoxing Sun, Zhuo Su, Kaiwen Guo, Minye Wu, Jingyi Yu, Lan Xu:
NeuralFusion: Neural Volumetric Rendering under Human-object Interactions. - Workneh Y. Ayele, Gustaf Juell-Skielse:
A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas. - Feng Lin:
Convergence of a New Learning Algorithm. - Peiying Zhang, Chao Wang, Zeyu Qin, Haotong Cao:
A multi-domain VNE algorithm based on multi-objective optimization for IoD architecture in Industry 4.0. - Gongbo Liang, Izzat Alsmadi:
Benchmark Assessment for DeepSpeed Optimization Library. - Omer Goldman, Reut Tsarfaty:
Morphology Without Borders: Clause-Level Morphological Annotation. - Tianlun Hu, Qi Liao, Qiang Liu, Dan Wellington, Georg Carle:
Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning. - Emil Beurer, Moritz Feuerle, Niklas Reich, Karsten Urban:
An ultraweak variational method for parameterized linear differential-algebraic equations. - Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? - Praveen Kumar Rajendran, Sumit Mishra, Luiz Felipe Vecchietti, Dongsoo Har:
RELMOBNET: A Robust Two-Stage End-To-End Training Approach For MOBILENETV3 Based Relative Camera Pose Estimation. - Nima Eshraghi, Ben Liang:
Dynamic Regret of Online Mirror Descent for Relatively Smooth Convex Cost Functions. - Shantanu Das, Swapnil Dhamal, Ganesh Ghalme, Shweta Jain, Sujit Gujar:
Individual Fairness in Feature-Based Pricing for Monopoly Markets. - Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Christopher Marquis:
An initial alignment between neural network and target is needed for gradient descent to learn. - Xiangyu Zhao, Sean B. Holden:
Building a 3-Player Mahjong AI using Deep Reinforcement Learning. - Jixiang Qing, Ivo Couckuyt, Tom Dhaene:
A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty. - Lyes Attouche, Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, Stefanie Scherzinger:
Witness Generation for JSON Schema. - Krishnasuri Narayanam, Venkatraman Ramakrishna, Dhinakaran Vinayagamurthy, Sandeep Nishad:
Generalized HTLC for Cross-Chain Swapping of Multiple Assets with Co-Ownerships. - Maksym Andriushchenko, Xiaoyang Rebecca Li, Geoffrey Oxholm, Thomas Gittings, Tu Bui, Nicolas Flammarion, John P. Collomosse:
ARIA: Adversarially Robust Image Attribution for Content Provenance. - Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu:
Hierarchical Control for Multi-Agent Autonomous Racing. - David Doty, Mahsa Eftekhari:
Dynamic size counting in population protocols. - Hieu Le, Salma Elmalaki, Athina Markopoulou, Zubair Shafiq:
AutoFR: Automated Filter Rule Generation for Adblocking. - Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Tianrui Guan, Jing Liang, Dinesh Manocha:
TerraPN: Unstructured terrain navigation through Online Self-Supervised Learning. - Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. - Manuel Schaller, Viktoria Kleyman, Mario Mordmüller, Christian Schmidt, Mitsuru Wilson, Ralf Brinkmann, Matthias A. Müller, Karl Worthmann:
Model predictive control for retinal laser treatment at 1 kHz. - Matthew Groh, Aruna Sankaranarayanan, Rosalind W. Picard:
Human Detection of Political Deepfakes across Transcripts, Audio, and Video. - Benedict Wilkins, Kostas Stathis:
Learning to Identify Perceptual Bugs in 3D Video Games. - Sadra Seyedmasoumian, Tolga M. Duman:
Approximate Weight Distribution of Polarization-Adjusted Convolutional (PAC) Codes. - Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang:
Biological error correction codes generate fault-tolerant neural networks. - Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh, Sumeet Katariya:
Meta-Learning for Simple Regret Minimization. - Kazutaka Kanno, Atsushi Uchida:
Photonic reinforcement learning based on optoelectronic reservoir computing. - Ruinian Xu, Hongyi Chen, Yunzhi Lin, Patricio A. Vela:
SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following. - Sai Dileep Koneru, David Rench McCauley, Michael C. Smith, David Guarrera, Jenn Robinson, Sarah Rajtmajer:
The evolution of scientific literature as metastable knowledge states. - Valentin Zieglmeier, Antonia Maria Lehene:
Designing Trustworthy User Interfaces. - Simon Streicher:
Incremental Inference on Higher-Order Probabilistic Graphical Models Applied to Constraint Satisfaction Problems. - Mitja Nikolaus, Afra Alishahi, Grzegorz Chrupala:
Learning English with Peppa Pig. - Bo Jiang, Hamid Krim, Tianfu Wu, Derya Cansever:
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric. - Harri Hakula, Mohamed M. S. Nasser, Matti Vuorinen:
Conformal capacity and polycircular domains. - Zhenxing Zhang, Lambert Schomaker:
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs. - Daniel Cummings, Sharath Nittur Sridhar, Anthony Sarah, Maciej Szankin:
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms. - Shan Jia, Xin Li, Siwei Lyu:
Model Attribution of Face-swap Deepfake Videos. - Anthony Sarah, Daniel Cummings, Sharath Nittur Sridhar, Sairam Sundaresan, Maciej Szankin, Tristan Webb, J. Pablo Munoz:
A Hardware-Aware System for Accelerating Deep Neural Network Optimization. - Juan Carlos Barata, Diego Lisboa, Laudelino Cordeiro Bastos, Adolfo Neto:
Agile requirements engineering practices: a survey in Brazilian software development companies. - Wenshuo Guo, Michael I. Jordan, Angela Zhou:
Off-Policy Evaluation with Policy-Dependent Optimization Response. - Melody Sepahpour-Fard, Michael Quayle:
How Do Mothers and Fathers Talk About Parenting to Different Audiences?: Stereotypes and Audience Effects: An Analysis of r/Daddit, r/Mommit, and r/Parenting Using Topic Modelling. - Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris:
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates. - Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo:
Does Label Differential Privacy Prevent Label Inference Attacks? - Henry Akwetey Matey, Paul Danquah, Godfred Yaw Koi-Akrofi, Isaac Asampana:
Critical Infrastructure Cybersecurity Challenges: IoT In Perspective. - Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment. - Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy:
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. - Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence:
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference. - Frances Cleary, Witawas Srisa-an, Beatriz Gil, Jaideep Kesavan, Tobias Engel, David C. Henshall, Sasitharan Balasubramaniam:
Wearable uBrain: Fabric Based-Spiking Neural Network. - Ali Furkan Biten, Rubèn Tito, Lluís Gómez, Ernest Valveny, Dimosthenis Karatzas:
OCR-IDL: OCR Annotations for Industry Document Library Dataset. - Robin Dupont, Mohammed Amine Alaoui, Hichem Sahbi, Alice Lebois:
Extracting Effective Subnetworks with Gumebel-Softmax. - Wei Zhou, Xiongkuo Min, Hong Li, Qiuping Jiang:
A Brief Survey on Adaptive Video Streaming Quality Assessment. - Niccolò Piazzesi, Massimo Hong, Andrea Ceccarelli:
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator - Experience Report. - He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan:
Projective Ranking-based GNN Evasion Attacks. - Amir Zandieh, Insu Han, Haim Avron:
Near Optimal Reconstruction of Spherical Harmonic Expansions. - Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic:
Self-Supervised and Interpretable Anomaly Detection using Network Transformers. - Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard D. J. Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas:
Integrated multimodal artificial intelligence framework for healthcare applications. - Mohammad Javad Azizi, Thang Duong, Yasin Abbasi-Yadkori, András György, Claire Vernade, Mohammad Ghavamzadeh:
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms. - Geoffrey Pettet, Ayan Mukhopadhyay, Abhishek Dubey:
Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search. - Bochan Lee, Vishnu Saj, Moble Benedict, Dileep M. Kalathil:
Intelligent Vision-based Autonomous Ship Landing of VTOL UAVs. - Jun Ikeda, Junichiro Mori:
Weakly Supervised Instance Segmentation using Motion Information via Optical Flow. - Matthieu Martel:
Compressed Matrix Computations. - Fukang Liu, Vaidehi Patil, Zackory Erickson, Fatma Zeynep Temel:
Characterization of a Meso-Scale Wearable Robot for Bathing Assistance. - Derek Lim, Joshua Robinson, Lingxiao Zhao, Tess E. Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka:
Sign and Basis Invariant Networks for Spectral Graph Representation Learning. - Édouard Bonnet, Jan Dreier, Jakub Gajarský, Stephan Kreutzer, Nikolas Mählmann, Pierre Simon, Szymon Torunczyk:
Model Checking on Interpretations of Classes of Bounded Local Cliquewidth. - Oksana Firman, Philipp Kindermann, Jonathan Klawitter, Boris Klemz, Felix Klesen, Alexander Wolff:
Outside-Obstacle Representations with All Vertices on the Outer Face. - Alen Joy, Charalambos Poullis:
Multi-view Gradient Consistency for SVBRDF Estimation of Complex Scenes under Natural Illumination. - Jie Mei, Suzanne Romain, Craig S. Rose, Kelsey Magrane, Jenq-Neng Hwang:
HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring. - Xiaolei Diao:
Building a visual semantics aware object hierarchy. - Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. - Flash Sheridan:
Static Analysis Deployment Pitfalls. - Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. - W. C. Yeh, C. L. Huang, T. Y. Hsu, Z. Liu, S. Y. Tan:
A New BAT and PageRank algorithm for Propagation Probability in Social Networks. - Shiliang Wu, Hehui Wang:
New error bounds for the extended vertical LCP. - Yuwei Li, Bo Yang, Hao Wu, Qiaoni Han, Cailian Chen, Xinping Guan:
Joint Offloading Decision and Resource Allocation for Vehicular Fog-Edge Computing Networks: A Contract-Stackelberg Approach. - Yuan Yuan, Wolfgang Banzhaf:
Iterative Genetic Improvement: Scaling Stochastic Program Synthesis. - Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. - You-Wei Luo, Chuan-Xian Ren:
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm. - Kuokuo Zhang, Weibing Deng, Haijun Wu:
A combined multiscale finite element method based on the LOD technique for the multiscale elliptic problems with singularities. - Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning. - Chujie Zheng, Sahand Sabour, Jiaxin Wen, Minlie Huang:
AugESC: Large-scale Data Augmentation for Emotional Support Conversation with Pre-trained Language Models. - Alexander You, Cindy Grimm, Joseph R. Davidson:
Optical flow-based branch segmentation for complex orchard environments. - Gengen Zhang, Chaolong Jiang:
Arbitrary high-order structure-preserving methods for the quantum Zakharov system. - Yuki Fujimura, Masaaki Iiyama, Takuya Funatomi, Yasuhiro Mukaigawa:
Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance. - Jaydeb Sarker, Asif Kamal Turzo, Ming Dong, Amiangshu Bosu:
Automated Identification of Toxic Code Reviews: How Far Can We Go? - Vsevolod Nikulin, Jun Tani:
Initialization of Latent Space Coordinates via Random Linear Projections for Learning Robotic Sensory-Motor Sequences. - Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath:
Graph Attention Retrospective. - Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata:
Collision-free Path Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs. - Yuanfeng Han, Boren Jiang, Gregory S. Chirikjian:
Watch Me Calibrate My Force-Sensing Shoes! - Dingkang Liang, Wei Xu, Xiang Bai:
An End-to-End Transformer Model for Crowd Localization. - Sulong Ge, Zhihua Xia, Jianwei Fei, Xingming Sun, Jian Weng:
A Robust Document Image Watermarking Scheme using Deep Neural Network. - Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. - Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen Yang, Ji Liu:
Adversarial Contrastive Self-Supervised Learning. - Shiyu Hu, Xin Zhao, Lianghua Huang, Kaiqi Huang:
Global Instance Tracking: Locating Target More Like Humans. - Metehan Cekic, Can Bakiskan, Upamanyu Madhow:
Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations. - Tobi Delbrück, Chenghan Li, Rui Graca, Brian McReynolds:
Utility and Feasibility of a Center Surround Event Camera. - Siladittya Manna, Soumitri Chattopadhyay, Saumik Bhattacharya, Umapada Pal:
SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification. - Soyeon Caren Han, Siqu Long, Huichun Li, Henry Weld, Josiah Poon:
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling. - Aybora Koksal, Onder Tuzcuoglu, Kutalmis Gokalp Ince, Yoldas Ataseven, A. Aydin Alatan:
Improved Hard Example Mining Approach for Single Shot Object Detectors. - Ankit Sinha, Soham Banerjee, Pratik Chattopadhyay:
An Improved Deep Learning Approach For Product Recognition on Racks in Retail Stores. - Beiduo Chen, Wu Guo, Bin Gu, Quan Liu, Yongchao Wang:
Multi-Level Contrastive Learning for Cross-Lingual Alignment. - Pingchuan Ma, Stavros Petridis, Maja Pantic:
Visual Speech Recognition for Multiple Languages in the Wild. - Chao Liao, Qingyun Chen, Bundit Laekhanukit, Yuhao Zhang:
Almost Tight Approximation Hardness for Single-Source Directed k-Edge-Connectivity. - Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. - Shaher Ahmed, Mohamed Shekha, Suhaila Skran, Abdelrahman Bassyouny:
Investigation of Optimization Techniques on the Elevator Dispatching Problem. - Rui Cao, Yihao Wang, Yuxin Liang, Ling Gao, Jie Zheng, Jie Ren, Zheng Wang:
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embeddin. - Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung:
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning. - Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes:
Continuous Human Action Recognition for Human-Machine Interaction: A Review. - Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia A. Tomashenko:
Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models. - Jaemin Yoon, Minji Lee, Dongwon Son, Dongjun Lee:
Fast and Accurate Data-Driven Simulation Framework for Contact-Intensive Tight-Tolerance Robotic Assembly Tasks. - Harish Agrawal, Sumana T., S. K. Nandy:
Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in CNN. - Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan:
Semantic Supervision: Enabling Generalization over Output Spaces. - Jinu Jayan, Saurabh Pashine, Pallavi Gawade, Bhushan Jagyasi, Sreedhar Seetharam, Gopali Contractor, Rajesh kumar Palani, Harshit Sampgaon, Sandeep Vaity, Tamal Bhattacharyya, Rengaraj Ramasubbu:
Sustainability using Renewable Electricity (SuRE) towards NetZero Emissions. - Prerona Chatterjee, Kshitij Gajjar, Anamay Tengse:
Transparency Beyond VNP in the Monotone Setting. - Gregor Herda, Robert McNabb:
Python for Smarter Cities: Comparison of Python libraries for static and interactive visualisations of large vector data. - Dmitry Ivanov, Iskander Safiulin, Ksenia Balabaeva, Igor Filippov:
Optimal-er Auctions through Attention. - Hoang Lam Nguyen, Lars Grunske:
BeDivFuzz: Integrating Behavioral Diversity into Generator-based Fuzzing. - Tolga Aksoy, Ugur Halici:
Analysis of Visual Reasoning on One-Stage Object Detection. - Tianqing Zhou, Yali Yue, Dong Qin, Xuefang Nie, Xuan Li, Chunguo Li:
Mobile Device Association and Resource Allocation in Small-Cell IoT Networks with Mobile Edge Computing and Caching. - Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. - Decai Chen, Markus Worchel, Ingo Feldmann, Oliver Schreer, Peter Eisert:
Accurate Human Body Reconstruction for Volumetric Video. - Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz:
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends. - Tessina H. Scholl, Veit Hagenmeyer, Lutz Gröll:
What ODE-Approximation Schemes of Time-Delay Systems Reveal about Lyapunov-Krasovskii Functionals. - Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. - Ching-Chun Chang:
Nonlinear Discrete Optimisation of Reversible Steganographic Coding. - Qi Qin, JulianAndres JiYang, Fu Song, Taolue Chen, Xinyu Xing:
Preventing Timing Side-Channels via Security-Aware Just-In-Time Compilation. - Zhe Ming Chng, Joseph Mun Hung Lew, Jimmy Addison Lee:
RONELDv2: A faster, improved lane tracking method. - SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu:
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. - Chaofeng Chen, Xinyu Shi, Yipeng Qin, Xiaoming Li, Xiaoguang Han, Tao Yang, Shihui Guo:
Blind Image Super Resolution with Semantic-Aware Quantized Texture Prior. - Pranjay Shyam, Antyanta Bangunharcana, Kuk-Jin Yoon, Kyung-Soo Kim:
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment. - Fanchao Qi, Yanhui Yang, Jing Yi, Zhili Cheng, Zhiyuan Liu, Maosong Sun:
QuoteR: A Benchmark of Quote Recommendation for Writing. - Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada:
COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents. - Solomon Kozlov:
Use of Set Shaping theory in the development of locally testable codes. - Samuel Thomas, Brian Kingsbury, George Saon, Hong-Kwang Jeff Kuo:
Integrating Text Inputs For Training and Adapting RNN Transducer ASR Models. - Lorenzo Valentini, Alberto Faedi, Marco Chiani, Enrico Paolini:
Impact of Interference Subtraction on Grant-Free Multiple Access with Massive MIMO. - Daniel Patterson, Noble Mushtak, Andrew Wagner, Amal Ahmed:
Semantic Soundness for Language Interoperability. - Swarnima Bahadur, Varun:
Higher order Hermite-Fejer Interpolation on the unit circle. - Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. - Nikos Efthymiadis, Giorgos Tolias, Ondrej Chum:
Edge Augmentation for Large-Scale Sketch Recognition without Sketches. - Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn:
A Systematic Evaluation of Large Language Models of Code. - Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning. - Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Gregory D. Peterson:
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task. - Seyyed Mohammadreza Azimi:
On the Achievability of Coded Multicasting Fronthaul Delivery in Fog-Aided Networks. - Chiamaka Ijeoma Chukwuneke, Hyacinth C. Inyiama, Samuel Amaefule, Moses Okechukwu Onyesolu, Doris Chinedu Asogwa:
Review of Hybrid Load Balancing Algorithms in Cloud Computing Environment. - Amirhossein Kazemipour, Maram Khatib, Khaled Al Khudir, Claudio Gaz, Alessandro De Luca:
Kinematic Control of Redundant Robots with Online Handling of Variable Generalized Hard Constraints. - Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma:
Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning. - Guojun Xiong, Shufan Wang, Jian Li, Rahul Singh:
Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits. - Jianhua Zhao, Haiye Liang, Shulan Li, Zhiji Yang, Zhen Wang:
Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data. - Felix Henze, Haralampos Gavriilidis, Eleni Tzirita Zacharatou, Volker Markl:
Efficient Specialized Spreadsheet Parsing for Data Science. - Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu:
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. - Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu:
Relational Surrogate Loss Learning. - Wen-Jie Tseng, Elise Bonnail, Mark McGill, Mohamed Khamis, Eric Lecolinet, Samuel Huron, Jan Gugenheimer:
The Dark Side of Perceptual Manipulations in Virtual Reality. - Gengsen Huang, Wensheng Gan, Philip S. Yu:
TaSPM: Targeted Sequential Pattern Mining. - Lakshya:
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques. - Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever:
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. - Karol Kozak, André Seidel, Nataliia Matvieieva, Constanze Neupetsch, Uwe Teicher, Gordon Lemme, Anas Ben Achour, Martin Barth, Steffen Ihlenfeldt, Welf-Guntram Drossel:
Unique Device Identification Based Linkage of Hierarchically Accessible Data Domains in Prospective Hospital Data Ecosystems. - Ramchandran Muthukumar, Jeremias Sulam:
Adversarial robustness of sparse local Lipschitz predictors. - Chen-Chou Lo, Patrick Vandewalle:
How much depth information can radar infer and contribute. - Nikolaos Kourtzanidis, Sajad Saeedi:
RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization. - Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stöcker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering. - Runzhe Wan, Lin Ge, Rui Song:
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. - Jian Ni, Gaetano Rossiello, Alfio Gliozzo, Radu Florian:
A Generative Model for Relation Extraction and Classification. - Runzhe Wan, Branislav Kveton, Rui Song:
Safe Exploration for Efficient Policy Evaluation and Comparison. - Davide Cenzato, Zsuzsanna Lipták:
A theoretical and experimental analysis of BWT variants for string collections. - Cristóbal Ramírez Lazo, César-Alejandro Hernández-Calderón, Carlos Rojas Morales, Gustavo Mondragón García, Luis Alfonso Villa Vargas, Marco Antonio Ramírez Salinas:
Lagarto I-Una plataforma hardware/software de arquitectura de computadoras para la academia e investigación. - Vikram Shree, Carlos Diaz-Ruiz, Chang Liu, Bharath Hariharan, Mark E. Campbell:
Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking. - Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini:
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). - Toby Sanders:
Fixed Point Iterations for SURE-based PSF Estimation for Image Deconvolution. - Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space. - Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji:
Automated Data Augmentations for Graph Classification. - Özgür Akgün, Ian P. Gent, Christopher Jefferson, Zeynep Kiziltan, Ian Miguel, Peter Nightingale, András Z. Salamon, Felix Ulrich-Oltean:
Automatic Tabulation in Constraint Models. - Isaac Corley, Peyman Najafirad:
Supervising Remote Sensing Change Detection Models with 3D Surface Semantics. - Richard S. Sutton:
The Quest for a Common Model of the Intelligent Decision Maker. - Sebastian Nugroho, Ahmad F. Taha, Nikolaos Gatsis, Junbo Zhao:
Observers for Differential Algebraic Equation Models of Power Networks: Jointly Estimating Dynamic and Algebraic States. - Leila Kalantari, José C. Príncipe, Kathryn E. Sieving:
Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio. - Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen:
Controllable Natural Language Generation with Contrastive Prefixes. - Mariam Guizani, Bianca Trinkenreich, Aileen Abril Castro-Guzman, Igor Steinmacher, Marco Aurélio Gerosa, Anita Sarma:
Perceptions of the State of D&I and D&I Initiative in the ASF. - Tokuhiro Eto:
On a discrete scheme for the Mullins-Sekerka flow and its fine properties. - Jun Yang, Steven L. Waslander:
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. - Koffi Enakoutsa:
An Exact Consistent Tangent Stiffness Matrix for a Second Gradient Model for Porous Plastic Solids: Derivation and Assessment. - Steve Tsham Mpinda Ataky, Alessandro Lameiras Koerich:
Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform. - Oana Ignat, Jean Maillard, Vishrav Chaudhary, Francisco Guzmán:
OCR Improves Machine Translation for Low-Resource Languages. - Junzheng Wu, Ruigang Fu, Qiang Liu, Weiping Ni, Kenan Cheng, Biao Li, Yuli Sun:
A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images. - Davaajav Jargalsaikhan, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Parallel algorithm for pattern matching problems under substring consistent equivalence relations. - Philippe Heitzmann:
A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management. - Daniel L. O'Connor, Lim C. Siang, Shams Elnawawi:
A Simple Discretization Scheme for Gain Matrix Conditioning. - Ameneh Zarei, Shahla Safari, Mahmood Ahmadi, Farhad Mardukhi:
Past, Present and Future of Hadoop: A Survey. - Tao Guo, Song Guo, Jiewei Zhang, Wenchao Xu, Junxiao Wang:
Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space. - Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen:
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. - Sylvia C. Boyd, Joseph Cheriyan, Arash Haddadan, Sharat Ibrahimpur:
Approximation Algorithms for Flexible Graph Connectivity. - Mariam Guizani, Igor Steinmacher, Jillian Emard, Abrar Fallatah, Margaret Burnett, Anita Sarma:
How to Debug Inclusivity Bugs? A Debugging Process with Information Architecture. - Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone:
Private and Decentralized Location Sharing for Congestion-Aware Routing. - Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei:
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. - Seongsin Kim, Minyoung Jwa, Soonwook Lee, Sunghoon Park, Namwoo Kang:
Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes. - Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin:
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation. - Or Dinari, Oren Freifeld:
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. - Yongdong Huang, Yuanzhan Li, Xulong Cao, Siyu Zhang, Shen Cai, Ting Lu, Yuqi Liu:
An Efficient End-to-End 3D Model Reconstructionbased on Neural Architecture Search. - Feiyan Tian, Xiaoming Chen, Lei Liu, Derrick Wing Kwan Ng:
Massive Unsourced Random Access over Rician Fading Channels: Design, Analysis, and Optimization. - Anh Khoa Lanh Luu, Van Tu Duong, Huy Hung Nguyen, Tan Tien Nguyen:
Application of Event-Triggered Sliding Mode Control of 2-DOF Humanoid's Lower-Limb Powered by Series Elastic Actuator. - Zhenhao Huang, Guoxu Zhou, Yuning Qiu:
Bayesian Robust Tensor Ring Model for Incomplete Multiway Data. - Idan Amir, Roi Livni, Nathan Srebro:
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization. - Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme:
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. - Benjamin Bergougnoux, Jan Dreier, Lars Jaffke:
A logic-based algorithmic meta-theorem for mim-width. - Zili Liu, Kun Hao, Xiaoyi Geng, Zhenwei Shi:
Dual-Branched Spatio-temporal Fusion Network for Multi-horizon Tropical Cyclone Track Forecast. - Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang:
Towards Robust Off-policy Learning for Runtime Uncertainty. - Nathan Michlo, Steven James, Richard Klein:
Data Overlap: A Prerequisite For Disentanglement. - A. S. M. Sharifuzzaman Sagar, Tajken Salehen, Md. Abdur Rob:
Drowsiness detection using combined neuroimaging: Overview and Challenges. - Yuanxin Ye, Bai Zhu, Tengfeng Tang, Chao Yang, Qizhi Xu, Guo Zhang:
A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients. - George-Liviu Pereteanu, Amir Alansary, Jonathan Passerat-Palmbach:
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption. - Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He:
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction. - Yan Xu, Junyi Lin, Jianping Shi, Guofeng Zhang, Xiaogang Wang, Hongsheng Li:
Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling. - Naresh Goud Boddu, Rahul Jain:
Quantum secure non-malleable-codes in the split-state model. - Natalia Kopteva, Martin Stynes:
A posteriori error analysis for variable-coefficient multiterm time-fractional subdiffusion equations. - Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman:
Benign Underfitting of Stochastic Gradient Descent. - Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari:
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation. - Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas:
Age Optimal Sampling Under Unknown Delay Statistics. - Guo Yang, Cheryl Sze Yin Wong, Savitha Ramasamy:
Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network. - Mima Stanojkovski:
Submodule codes as spherical codes in buildings. - Song Wang, Jianke Zhu, Ruixiang Zhang:
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. - Peng Peng, Wei Dong, Gang Chen, Xiangyang Zhu:
Obstacle Avoidance of Resilient UAV Swarm Formation with Active Sensing System in the Dense Environment. - Jérémy Berthomieu, Christian Eder, Mohab Safey El Din:
New efficient algorithms for computing Gröbner bases of saturation ideals (F4SAT) and colon ideals (Sparse-FGLM-colon). - Hao Shi, Yifan Zhou, Kailun Yang, Yaozu Ye, Xiaoting Yin, Zhe Yin, Shi Meng, Kaiwei Wang:
PanoFlow: Learning Optical Flow for Panoramic Images. - Sofia Seinfeld, Ivette Schmidt, Jörg Müller:
Evoking realistic affective touch experiences in virtual reality. - Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu:
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. - Ruiping Liu, Kailun Yang, Huayao Liu, Jiaming Zhang, Kunyu Peng, Rainer Stiefelhagen:
Transformer-based Knowledge Distillation for Efficient Semantic Segmentation of Road-driving Scenes. - Mattia Leonori, Juan M. Gandarias, Arash Ajoudani:
MOCA-S: A Sensitive Mobile Collaborative Robotic Assistant exploiting Low-Cost Capacitive Tactile Cover and Whole-Body Control. - Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman:
Concept Graph Neural Networks for Surgical Video Understanding. - Gerald Schwiebert, Cornelius Weber, Leyuan Qu, Henrique Siqueira, Stefan Wermter:
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning. - Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking. - Hiroyuki Kido:
Towards Unifying Logical Entailment and Statistical Estimation. - Balaji Arun, Binoy Ravindran:
Scalable Byzantine Fault Tolerance via Partial Decentralization. - Mostafa Hadizadeh, Elham Cheshmikhani, Maysam Rahmanpour, Onur Mutlu, Hossein Asadi:
CoPA: Cold Page Awakening to Overcome Retention Failures in STT-MRAM Based I/O Buffers. - Suhair Ahmed, Fatema T. Johora, Jörg P. Müller:
Investigating the Role of Pedestrian Groups in Shared Spaces through Simulation Modeling. - Mariam Guizani:
A Decade of Information Architecture in HCI: A Systematic Literature Review. - Karsten Paul, Roger A. Sauer:
An isogeometric finite element formulation for surface and shell viscoelasticity based on a multiplicative surface deformation split. - Jedrzej Kozerawski, Mayank Sharan, Rose Yu:
Taming the Long Tail of Deep Probabilistic Forecasting. - Fatema T. Johora, Jörg P. Müller:
On Intercultural Transferability and Calibration of Heterogeneous Shared Space Motion Models. - Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang:
Thermal Modelling and Controller Design of an Alkaline Electrolysis System under Dynamic Operating Conditions. - Thanh Hong Nguyen, Arunesh Sinha:
The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games. - Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow:
Bayesian Active Learning for Discrete Latent Variable Models. - Aamir Hasan, Pranav Sriram, Katherine Driggs Campbell:
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. - Chengsheng Mao, Yuan Luo:
Distribution Preserving Graph Representation Learning. - Lizuo Liu, Wei Cai:
DeepPropNet - A Recursive Deep Propagator Neural Network for Learning Evolution PDE Operators. - Michael J. Sobrepera, Vera G. Lee, Suveer Garg, Michelle J. Johnson:
Feasibility and Acceptability of Remote Neuromotor Rehabilitation Interactions Using Social Robot Augmented Telepresence: A Case Study. - Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, Stefanie Scherzinger:
Negation-Closure for JSON Schema. - Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen:
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming. - Tuan-Anh Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung:
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. - Lubos Brim, Samuel Pastva, David Safránek, Eva Smijáková:
Robust Control of Partially Specified Boolean Networks. - Matan Schliserman, Tomer Koren:
Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond. - Claire Woodcock, Brent D. Mittelstadt, Dan Busbridge, Grant Blank:
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study. - Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan:
The Unfairness of Popularity Bias in Book Recommendation. - Pouya M. Ghari, Yanning Shen:
Graph-Assisted Communication-Efficient Ensemble Federated Learning. - Mario Felipe Munoz, Kaiwen Zhang, Fatima Amara:
ZipZap: A Blockchain Solution for Local Energy Trading. - Shang-En Huang, Seth Pettie, Leqi Zhu:
Byzantine Agreement in Polynomial Time with Near-Optimal Resilience. - Claudiney R. Tinoco, Gina M. B. Oliveira:
PheroCom: Decentralised and asynchronous swarm robotics coordination based on virtual pheromone and vibroacoustic communication. - Gechuan Zhang, Paul Nulty, David Lillis:
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks. - Sha Yi, Fatma Zeynep Temel, Katia P. Sycara:
Configuration Control for Physical Coupling of Heterogeneous Robot Swarms. - Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li:
Application of DatasetGAN in medical imaging: preliminary studies. - Rolf-Helge Pfeiffer, Mircea Lungu:
Technical Debt and Maintainability: How do tools measure it? - Vladimir V. V'yugin:
Ergodic theorems for algorithmically random points. - Xiang Guo, Arash Tavakoli, Erin Robartes, Austin Angulo, T. Donna Chen, Arsalan Heydarian:
Roadway Design Matters: Variation in Bicyclists' Psycho-Physiological Responses in Different Urban Roadway Designs. - Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. - Aloni Cohen:
Attacks on Deidentification's Defenses. - Zimeng Lyu, Travis Desell:
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting. - Chen Gong, Kong Bin, Eric J. Seibel, Xin Wang, Youbing Yin, Qi Song:
Synergistic Network Learning and Label Correction for Noise-robust Image Classification. - Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher:
The Spectral Bias of Polynomial Neural Networks. - Mohammad Reza Zarei, Majid Komeili:
Interpretable Concept-based Prototypical Networks for Few-Shot Learning. - Artjay Javier, Beth Masimore, John Chase, Francisco G. Serpa, John T. Rigsby, Avory Bryant, Jeffrey Solka, Ryan J. Zelnio:
A Bibliometric Horizon Scanning Methodology for Identifying Emerging Topics in the Scientific Literature. - Yunseong Kim, Yujeong Choi, Minsoo Rhu:
PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers. - Jian Ma:
Causal Domain Adaptation with Copula Entropy based Conditional Independence Test. - Stella Bitchebe, Alain Tchana:
Out of Hypervisor (OoH): When Nested Virtualization Becomes Practical. - Mingyang Deng, Xiao Mao, Ziqian Zhong:
On Problems Related to Unbounded SubsetSum: A Unified Combinatorial Approach. - Véronique Bruyère, Jean-François Raskin, Clément Tamines:
Pareto-Rational Verification. - Robert E. Colgan, Jingkai Yan, Zsuzsa Márka, Imre Bartos, Szabolcs Márka, John N. Wright:
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets. - Scarlett Raine, Ross Marchant, Brano Kusy, Frédéric Maire, Tobias Fischer:
Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery. - Holger Boche, Adalbert Fono, Gitta Kutyniok:
Limitations of Deep Learning for Inverse Problems on Digital Hardware. - Aravind Sankar:
Sparsity-aware neural user behavior modeling in online interaction platforms. - Farnaz H. Foomani, Shahzad Mirza, Sahjid Mukhida, Kannuri Sriram, Zeyun Yu, Aayush Gupta, Sandeep Gopalakrishnan:
Machine learning techniques to identify antibiotic resistance in patients diagnosed with various skin and soft tissue infections. - Abhishek Gupta, Iga Kozlowska, Nga Than:
The Golden Circle: Creating Socio-technical Alignment in Content Moderation. - Smitha Gopinath, Hassan L. Hijazi, Adam Collins, Julian Dann Nathan Lemons, Emily Schultz-Fellenz, Russell Bent, Amira Hijazi, Gert Riemersma:
Globally Optimal Boresight Alignment of UAV-LiDAR Systems. - Rohan Agarwal, Aman Aziz, Aditya Suraj Krishnan, Aditya Challa, Sravan Danda:
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification. - Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Kentaro Oguchi:
Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR. - Yanwu Yang, Bernard J. Jansen, Yinghui Yang, Xunhua Guo, Daniel Zeng:
Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework. - Shreyas Ramakrishna, Baiting Luo, Yogesh D. Barve, Gabor Karsai, Abhishek Dubey:
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems. - Riccardo Mancini, Srinivas Karthik Venkatesh, Bikash Chandra, Vasilis Mageirakos, Anastasia Ailamaki:
Efficient Massively Parallel Join Optimization for Large Queries. - Shuaibing Lin, Jialiang Qu, Zishuo Li, Xiaoqiang Ren, Yilin Mo:
Aggressive Racecar Drifting Control Using Onboard Cameras and Inertial Measurement Unit. - Yunhao Du, Yang Song, Bo Yang, Yanyun Zhao:
StrongSORT: Make DeepSORT Great Again. - Chao Xu, Yixin Chen, He Wang, Song-Chun Zhu, Yixin Zhu, Siyuan Huang:
PartAfford: Part-level Affordance Discovery from 3D Objects. - Sujoy Sikdar, Sikai Ruan, Qishen Han, Paween Pitimanaaree, Jeremy Blackthorne, Bülent Yener, Lirong Xia:
Anti-Malware Sandbox Games. - Zhiwu Zheng, Prakhar Kumar, Yenan Chen, Hsin Cheng, Sigurd Wagner, Minjie Chen, Naveen Verma, James C. Sturm:
Scalable Simulation and Demonstration of Jumping Piezoelectric 2-D Soft Robots. - Shuai Li, Chen Wang, Guangming Xie:
Pursuit-evasion differential games of players with different speeds in spaces of different dimensions. - Shengjing Tian, Jun Liu, Xiuping Liu:
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds. - Hongrui Zheng, Johannes Betz, Rahul Mangharam:
Gradient-free Multi-domain Optimization for Autonomous Systems. - Jin Zeng, Saghar Bagheri, Yang Liu, Gene Cheung, Wei Hu:
Sparse Graph Learning with Eigen-gap for Spectral Filter Training in Graph Convolutional Networks. - Daniel Gao, Yantao Jia, Lei Li, Chengzhen Fu, Zhicheng Dou, Hao Jiang, Xinyu Zhang, Lei Chen, Zhao Cao:
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models. - Wilhelm Johan Marais, Stefan B. Williams, Oscar Pizarro:
Maximising Wrenches for Kinematically Redundant Systems with Experiments on UVMS. - Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim:
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation. - Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li:
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. - Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr:
Pattern Based Multivariate Regression using Deep Learning (PBMR-DP). - Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. - Bo Li, Ting Wang, Peng Yang, Mingsong Chen, Shui Yu, Mounir Hamdi:
Machine Learning Empowered Intelligent Data Center Networking: A Survey. - Nathan Zhao, Shanhui Fan:
Effect of Choices of Boundary Conditions on the Numerical Efficiency of Direct Solutions of Finite Difference frequency Domain Systems with Perfectly Matched Layers. - Zhilong Liang, Zhiwei Li, Shuo Zhou, Yiwen Sun, Changshui Zhang, Jinying Yuan:
A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility. - Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. - Young-Jin Kim:
Research Needs for Realization of Zero-Carbon Power Grids with Selected Case Studies. - Ziqing Yang, Zihang Xu, Yiming Cui, Baoxin Wang, Min Lin, Dayong Wu, Zhigang Chen:
CINO: A Chinese Minority Pre-trained Language Model. - Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Vicky Kalogeiton:
Name Your Style: An Arbitrary Artist-aware Image Style Transfer. - Junchi Yan, Xianglong Liu, Ruoyu Cheng, Yibo Lin:
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview. - Xiaoying Tang, Chenxi Sun, Suzhi Bi, Shuoyao Wang, Ying-Jun Angela Zhang:
A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms. - Yanwu Yang, Baozhu Feng, Daniel Zeng:
Learning Parameters for a Generalized Vidale-Wolfe Response Model with Flexible Ad Elasticity and Word-of-Mouth. - Yanshi Sun, Zhiguo Ding, Xuchu Dai:
On the Study of Quasi-degraded Channel to CoMP-NOMA System. - Ali Muhammad, Mohamed Kadry Elhattab, Mohamed Amine Arfaoui, Chadi Assi:
Optimizing Information Freshness in RIS-assisted NOMA-based IoT Networks. - Parikshit Gopalan, Nina Narodytska, Omer Reingold, Vatsal Sharan, Udi Wieder:
KL Divergence Estimation with Multi-group Attribution. - Ruihui Li, Xianzhi Li, Tien-Tsin Wong, Chi-Wing Fu:
Point Set Self-Embedding. - Albert Huang:
'Tis but Thy Name: Semantic Question Answering Evaluation with 11M Names for 1M Entities. - Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran, Mun Choon Chan, Bryan Kian Hsiang Low:
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten. - Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Rethinking and Refining the Distinct Metric. - Aoran Xiao, Jiaxing Huang, Dayan Guan, Shijian Lu:
Unsupervised Representation Learning for Point Clouds: A Survey. - Keita Nonaka, Kazutaka Yamanouchi, Tomohiro I, Tsuyoshi Okita, Kazutaka Shimada, Hiroshi Sakamoto:
LCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translation. - Tooru Akagi, Kouta Okabe, Takuya Mieno, Yuto Nakashima, Shunsuke Inenaga:
Minimal Absent Words on Run-Length Encoded Strings. - Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
Rectified Max-Value Entropy Search for Bayesian Optimization. - Yun Ho Choi, Doik Kim:
Red Light, Green Light Game of Multi-Robot Systems with Safety Barrier Certificates. - Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu:
Bandit Learning with General Function Classes: Heteroscedastic Noise and Variance-dependent Regret Bounds. - Jun Jin, Martin Jägersand:
Generalizable task representation learning from human demonstration videos: a geometric approach. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Quality-aware News Recommendation. - Qi Liu, Bo Yang, Zhaojian Wang, Dafeng Zhu, Xinyi Wang, Kai Ma, Xinping Guan:
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Are Big Recommendation Models Fair to Cold Users? - Dominik Beese, Begüm Altunbas, Görkem Güzeler, Steffen Eger:
Detecting Stance in Scientific Papers: Did we get more Negative Recently? - Tommaso Zoppi, Andrea Ceccarelli:
Prepare for Trouble and Make it Double. Supervised and Unsupervised Stacking for AnomalyBased Intrusion Detection. - Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu:
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. - Alexander S. Berdichevsky, Mor Peleg, Daniel L. Rubin:
Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports. - Dhanyamol Antony, Sagartanu Pal, R. B. Sandeep, R. Subashini:
Cutting a tree with Subgraph Complementation is hard, except for some small trees. - Mareike Hartmann, Aliki Anagnostopoulou, Daniel Sonntag:
Interactive Machine Learning for Image Captioning. - Zhifeng Qian, Mingyu You, Hongjun Zhou, Bin He:
Weakly Supervised Disentangled Representation for Goal-conditioned Reinforcement Learning. - Mingyuan Fan, Wenzhong Guo, Shengxing Yu, Zuobin Ying, Ximeng Liu:
Enhance transferability of adversarial examples with model architecture. - Dongjun Hwang, Hyunsu Mun, Youngseok Lee:
Improving Response Time of Home IoT Services in Federated Learning. - Xin Liang, Haoran Chang, Haozhen Li, Xinyu Gu, Lin Zhang:
Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning. - Daniel Schraudner, Andreas Harth:
Stream Containers for Resource-oriented RDF Stream Processing. - Zhixuan Yang, Nicolas Wu:
Fantastic Morphisms and Where to Find Them: A Guide to Recursion Schemes. - Thekla Hamm, Petr Hlinený:
Parameterised Partially-Predrawn Crossing Number. - Weiwen Xu, Bowei Zou, Wai Lam, Ai Ti Aw:
Improving Lexical Embeddings for Robust Question Answering. - Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo:
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control. - Lixuan Yang, Dario Rossi:
Quality Monitoring and Assessment of Deployed Deep Learning Models for Network AIOps. - Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
MSCTD: A Multimodal Sentiment Chat Translation Dataset. - Aïssatou Diallo, Johannes Fürnkranz:
GausSetExpander: A Simple Approach for Entity Set Expansion. - Ziqing Yang, Yiming Cui, Zhigang Chen, Shijin Wang:
Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training. - Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco:
Avalanche RL: a Continual Reinforcement Learning Library. - Yiming Ma, Victor Sanchez, Tanaya Guha:
FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion. - Cornelius Brand, Esra Ceylan, Christian Hatschka, Robert Ganian, Viktoriia Korchemna:
Edge-Cut Width: An Algorithmically Driven Analogue of Treewidth Based on Edge Cuts. - Sami Barchid, José Mennesson, Chaabane Djeraba:
Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras. - Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su:
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. - Rui Li, Darius Rückert, Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich:
Neural Adaptive SCEne Tracing. - Tomer Gafni, Michal Yemini, Kobi Cohen:
Restless Multi-Armed Bandits under Exogenous Global Markov Process. - Yilong Chen, Guangxu Zhu, Jie Xu:
Over-the-Air Computation with Imperfect Channel State Information. - Jiapeng Wang, Lianwen Jin, Kai Ding:
LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding. - Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo:
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. - Luís Vilaça, Yi Yu, Paula Viana:
Recent Advances and Challenges in Deep Audio-Visual Correlation Learning. - Wai-Chung Kwan, Hongru Wang, Huimin Wang, Kam-Fai Wong:
A Survey on Recent Advances and Challenges in Reinforcement LearningMethods for Task-Oriented Dialogue Policy Learning. - Hannaneh Akrami, Rojin Rezvan, Masoud Seddighin:
An EF2X Allocation Protocol for Restricted Additive Valuations. - Sean Kauffman, Martin Zimmermann:
The Complexity of Evaluating nfer. - Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann:
Hierarchical Policy Learning for Mechanical Search. - Hui-An Shen, Stefan M. Moser, Jean-Pascal Pfister:
Rate-Distortion Problems of the Poisson Process based on a Group-Theoretic Approach. - Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang:
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. - Xiuquan Du, Kunpeng Ma:
TC-Net: Triple Context Network for Automated Stroke Lesion Segmentation. - Xiao Xue, Xiang-Ning Yu, Deyu Zhou, Xiao Wang, Zhang-Bin Zhou, Fei-Yue Wang:
Computational Experiments: Past, Present and Future. - Congpei An, Hao-Ning Wu:
On the quadrature exactness in hyperinterpolation. - Xiaokang Yang, Gongmin Yan, Hao Yang, Sihai Li:
A GNSS Aided Initial Alignment Method for MEMS-IMU Based on Backtracking Algorithm and Backward Filtering. - Maxime Elkael, Massinissa Ait Aba, Andrea Araldo, Hind Castel, Badii Jouaber:
Monkey Business: Reinforcement learning meets neighborhood search for Virtual Network Embedding. - Jarle Sogn, Stefan Takacs:
Stable discretizations and IETI-DP solvers for the Stokes system in multi-patch Isogeometric Analysis. - Guohang Yan, Feiyu He, Chunlei Shi, Xinyu Cai, Yikang Li:
Joint Camera Intrinsic and LiDAR-Camera Extrinsic Calibration. - Matteo Castiglioni, Andrea Celli, Christian Kroer:
Online Learning with Knapsacks: the Best of Both Worlds. - Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil:
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. - Lukas Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson:
Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning. - Claudio Canella, Sebastian Dorn, Daniel Gruss, Michael Schwarz:
SFIP: Coarse-Grained Syscall-Flow-Integrity Protection in Modern Systems. - Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch, Sarel Cohen, Daniel G. Waddington, Tobias Friedrich, Michael W. Mahoney:
Fast Feature Selection with Fairness Constraints. - John Augustine, Srikkanth Ramachandran:
Guarding Polygons with Holes. - Hossein Khazaei, Ceyhun Eksin, Roohallah Khatami, Alfredo García:
A Market Mechanism for Trading Flexibility Between Interconnected Electricity Markets. - Eiichiro Sato:
Improved Combinatorial Approximation Algorithms for MAX CUT in Sparse Graphs. - Lukasz Plociniczak:
Error of the Galerkin scheme for a semilinear subdiffusion equation with time-dependent coefficients and nonsmooth data. - Jelle Don, Serge Fehr, Christian Majenz, Christian Schaffner:
Efficient NIZKs and Signatures from Commit-and-Open Protocols in the QROM. - Manar D. Samad, Sakib Abrar, Norou Diawara:
Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework. - Wajih Abdallah, Sami Mnasri, Thierry Val:
Distributed approach for the indoor deployment of wireless connected objects by the hybridization of the Voronoi diagram and the Genetic Algorithm. - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Moshe Shechner, Uri Stemmer:
On the Robustness of CountSketch to Adaptive Inputs. - Varish Mulwad, Andrew Crapo, Vijay S. Kumar, James Jobin, Alfredo Gabaldon, Nurali Virani, Sharad Dixit, Narendra Joshi:
Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text. - Gyanateet Dutta:
Solving The Travelling Salesmen Problem using HNN and HNN-SA algorithms. - Alexandros Gazis, Giorgos Anagnostakis, Stavros Kourmpetis, Eleftheria Katsiri:
A Blockchain Cloud Computing Middleware for Academic Manuscript Submission. - Umberto Straccia, Giovanni Casini:
A Minimal Deductive System for RDFS with Negative Statements. - Udaya Varadarajan, Mayukh Bagchi, Amit Tiwari, M. P. Satija:
GENOME: A GENeric methodology for Ontological Modelling of Epics. - Chunhua Zhang, Hong Liang, Zhaoli Guo, Lian-Ping Wang:
Discrete unified gas kinetic scheme for the conservative Allen-Cahn equation. - Jiazhu Dai, Siwei Xiong:
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training. - Ratish Puduppully, Yao Fu, Mirella Lapata:
Data-to-text Generation with Variational Sequential Planning. - Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. - Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger:
A System Level Approach to Regret Optimal Control. - Fang Da, Yu Zhang:
Path-Aware Graph Attention for HD Maps in Motion Prediction. - Tianju Xue, Sigrid Adriaenssens, Sheng Mao:
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks. - Chuan-Xian Ren, Yi-Ming Zhai, You-Wei Luo, Meng-Xue Li:
Towards Unsupervised Domain Adaptation via Domain-Transformer. - Christian Eder, Pierre Lairez, Rafael Mohr, Mohab Safey El Din:
A Signature-based Algorithm for Computing the Nondegenerate Locus of a Polynomial System. - Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu:
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion. - Michael Biehler, Hao Yan, Jianjun Shi:
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data. - Andrii Maksai, Henry A. Rowley, Jesse Berent, Claudiu Musat:
Inkorrect: Online Handwriting Spelling Correction. - Zhihong Tang, Qiang Zou, Hsi-Yung Feng, Shuming Gao, Chenchu Zhou, Yusheng Liu:
A review on geometric constraint solving. - Marvin Xhemrishi, Alexandre Graell i Amat, Eirik Rosnes, Antonia Wachter-Zeh:
Computational Code-Based Privacy in Coded Federated Learning. - Donghwee Yoon, Junseok Oh, Hayeong Choi, Minjae Yi, Injung Kim:
OUR-GAN: One-shot Ultra-high-Resolution Generative Adversarial Networks. - Zhuangwei Shi:
Differential equation and probability inspired graph neural networks for latent variable learning. - Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie:
A Mutually Reinforced Framework for Pretrained Sentence Embeddings. - Manuel Schaller, Mitsuru Wilson, Viktoria Kleyman, Mario Mordmüller, Ralf Brinkmann, Matthias A. Müller, Karl Worthmann:
Parameter estimation and model reduction for retinal laser treatment. - Joya Chen, Kai Xu, Yifei Cheng, Angela Yao:
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training. - Giuseppe D'Alconzo:
A Note on the Hardness of Problems from Cryptographic Group Actions. - Qinghua Zhao, Shuai Ma:
TraceNet: Tracing and Locating the Key Elements in Sentiment Analysis. - Yichen Yang, Xiaosen Wang, Kun He:
Robust Textual Embedding against Word-level Adversarial Attacks. - Yuhang Wang, Liang Pan:
Three-dimensional discontinuous Galerkin based high-order gas-kinetic scheme and GPU implementation. - Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier:
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn. - Jason Gross, Théo Zimmermann, Miraya Poddar-Agrawal, Adam Chlipala:
Automatic Test-Case Reduction in Proof Assistants: A Case Study in Coq. - Sihan Feng, Yong Zhang, Fuming Wang, Hong Zhao:
How and what to learn: The modes of machine learning. - Patrik Christen:
Curb Your Self-Modifying Code. - Mohit Tekriwal, Avi Tachna-Fram, Jean-Baptiste Jeannin, Manos Kapritsos, Dimitra Panagou:
Formally verified asymptotic consensus in robust networks. - Yuchi Zhao, Yuhao Zhou:
Fuse Local and Global Semantics in Representation Learning. - Xing Wu, Chaochen Gao, Meng Lin, Liangjun Zang, Zhongyuan Wang, Songlin Hu:
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks. - Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li:
Deepfake Network Architecture Attribution. - Tiziana Calamoneri, Angelo Monti, Fabrizio Petroni:
All Graphs with at most 8 nodes are 2-interval-PCGs. - Haohao Hu, Fengze Han, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller:
TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis. - Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King:
Hyperbolic Graph Neural Networks: A Review of Methods and Applications. - Haohao Hu, Hexing Yang, Jian Wu, Xiao Lei, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller:
Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function. - Md Ahmed Al Muzaddid, William J. Beksi:
Variable Rate Compression for Raw 3D Point Clouds. - Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang:
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation. - Virginia Espinosa-Duro, Marcos Faúndez-Zanuy, Jirí Mekyska:
A new face database simultaneously acquired in visible, near infrared and thermal spectrum. - Marcos Faúndez-Zanuy, Mattias Nilsson, W. Bastiaan Kleijn:
On the relevance of bandwidth extension for speaker identification. - Marcos Faúndez-Zanuy:
N-dimensional nonlinear prediction with MLP. - Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin:
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. - Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata:
A Real-World Implementation of Unbiased Lift-based Bidding System. - Zhongkai Sun, Sixing Lu, Chengyuan Ma, Xiaohu Liu, Chenlei Guo:
Query Expansion and Entity Weighting for Query Reformulation Retrieval in Voice Assistant Systems. - Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkata N. Padmanabhan:
Simulating Network Paths with Recurrent Buffering Units. - Sai Nethra Betgeri, Shashank Reddy Vadyala, John C. Mattews, Hongfang Lu:
Wastewater Pipe Rating Model Using Natural Language Processing. - Mitja Jancic, Gregor Kosec:
Stability analysis of RBF-FD and WLS based local strong form meshless methods on scattered nodes. - Jacques Fleischer, Gregor von Laszewski, Carlos Theran, Yohn Jairo Parra Bautista:
Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes. - Zhengyun Zhao, Qiao Jin, Sheng Yu:
PMC-Patients: A Large-scale Dataset of Patient Notes and Relations Extracted from Case Reports in PubMed Central. - Maria Albareda-Sambola, Marta Baldomero-Naranjo, Juan Manuel Muñoz-Ocaña, Jessica Rodríguez-Pereira:
Proceedings of the XI International Workshop on Locational Analysis and Related Problems. - Younes Jahandideh, Abbas Mirzaei:
Allocating Duplicate Copies for IoT Data in Cloud Computing Based on Harmony Search Algorithm. - Haolin Yuan, Armin Hadzic, William Paul, Daniella Villegas de Flores, Philip Mathew, John N. Aucott, Yinzhi Cao, Philippe Burlina:
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. - Jan Deriu, Don Tuggener, Pius von Däniken, Mark Cieliebak:
Probing the Robustness of Trained Metrics for Conversational Dialogue Systems. - Nir Goren, Efi Fogel, Dan Halperin:
CGAL Made More Accessible. - Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. - Andy Regensky, Christian Herglotz, André Kaup:
A Novel Viewport-Adaptive Motion Compensation Technique for Fisheye Video. - Damir Ferizovic:
Spherical cap discrepancy of perturbed lattices under the Lambert projection. - (Withdrawn) DistAD: Software Anomaly Detection Based on Execution Trace Distribution.
- Yasmina Becis-Aubry:
Bounded-error constrained state estimation in presence of sporadic measurements. - Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio:
Bayesian Structure Learning with Generative Flow Networks. - Glynn Winskel:
Making Concurrency Functional. - Chawan Piansaddhayanon, Sakun Santisukwongchote, Shanop Shuangshoti, Qingyi Tao, Sira Sriswasdi, Ekapol Chuangsuwanich:
ReCasNet: Improving consistency within the two-stage mitosis detection framework. - Michael Ruderman, Andrei Zagvozdkin, Dmitrii I. Rachinskii:
Motion dynamics of inertial pair coupled via frictional interface. - Edoardo Maria Ponti, Alessandro Sordoni, Siva Reddy:
Combining Modular Skills in Multitask Learning. - Harel Berger, Chen Hajaj, Enrico Mariconti, Amit Dvir:
MaMaDroid2.0 - The Holes of Control Flow Graphs. - Hadi Sehat, Elena Pagnin, Daniel E. Lucani:
Bonsai: A Generalized Look at Dual Deduplication. - Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone:
Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. - George C. Alexandropoulos, Ioanna Vinieratou, Henk Wymeersch:
Localization via Multiple Reconfigurable Intelligent Surfaces Equipped with Single Receive RF Chains. - Koya Tango, Takehiko Ohkawa, Ryosuke Furuta, Yoichi Sato:
Background Mixup Data Augmentation for Hand and Object-in-Contact Detection. - Francisco Javier Yagüe, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, César Ignacio García-Osorio:
Defect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework. - Ken R. Duffy, Wei An, Muriel Médard:
Ordered Reliability Bits Guessing Random Additive Noise Decoding. - Adriana Sejfia, Max Schäfer:
Practical Automated Detection of Malicious npm Packages. - Sotiris P. Gayialis, Evripidis P. Kechagias, Angeliki Deligianni, Grigorios D. Konstantakopoulos, Georgios A. Papadopoulos:
Implementation Technologies of an Advanced Cloud-based System for Distribution Operations. - Celina M. H. de Figueiredo, Alexsander Andrade de Melo, Fabiano de S. Oliveira, Ana Silva:
MaxCut on Permutation Graphs is NP-complete. - Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. - Anh Le-Tuan, Manh Nguyen Duc, Chien-Quang Le, Trung-Kien Tran, Manfred Hauswirth, Thomas Eiter, Danh Le Phuoc:
CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion. - Geewook Kim, Wonseok Hwang, Minjoon Seo, Seunghyun Park:
Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching. - Nathanaël Beau, Benoît Crabbé:
The impact of lexical and grammatical processing on generating code from natural language. - Simon Michaud, Benjamin Moffett, Ana Tapia Rousiouk, Victoria Duda, François Grondin:
SmartBelt: A Wearable Microphone Array for Sound Source Localization with Haptic Feedback. - Jiaming Liang, Yongxin Chen:
A Proximal Algorithm for Sampling. - András Strausz, Flavio Vella, Salvatore Di Girolamo, Maciej Besta, Torsten Hoefler:
Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching. - Julian Petzold, Mostafa Wahby, Franek Stark, Ulrich Behrje, Heiko Hamann:
"If you could see me through my eyes": Predicting Pedestrian Perception. - Alexander Khitun, Michael Balinskiy:
Combinatorial logic devices based on a multi-path active ring circuit. - Rebecca Gormann, Stuart Armstrong:
The dangers in algorithms learning humans' values and irrationalities. - Vince Kurtz, Hai Lin:
Contact-Implicit Trajectory Optimization with Hydroelastic Contact and iLQR. - Maxime Bombar, Alain Couvreur, Thomas Debris-Alazard:
On Codes and Learning With Errors over Function Fields. - Marius Meyer, Tobias Kenter, Christian Plessl:
Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. - Simon-Christian Klein:
Using the Dafermos Entropy Rate Criterion in Numerical Schemes. - Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. - Reza Lavaei, Leila Jasmine Bridgeman:
Systematic Stabilization of Constrained Piecewise Affine Systems. - Moritz Blumenthal, Guanxiong Luo, Martin Schilling, H. Christian M. Holme, Martin Uecker:
Deep, Deep Learning with BART. - James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber:
Artificial Intelligence for Cyber Security (AICS). - Ramij Raja Hossain, Ratnesh Kumar:
Distributed-MPC with Data-Driven Estimation of Bus Admittance Matrix in Voltage Stabilization. - William Snyder, Changhong Mou, Honghu Liu, Omer San, Raffaella De Vita, Traian Iliescu:
Reduced Order Model Closures: A Brief Tutorial. - Xi Peng, Zhenwei Tang, Maxat Kulmanov, Kexin Niu, Robert Hoehndorf:
Description Logic EL++ Embeddings with Intersectional Closure. - Paritosh Parmar, Amol Gharat, Helge Rhodin:
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment. - Amit H. Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or:
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN. - Patrizio Frosini, Ivan Gridelli, Andrea Pascucci:
A probabilistic result on impulsive noise reduction through Group Equivariant Non-Expansive Operators. - Sheng Liu, Zhihui Zhu, Qing Qu, Chong You:
Robust Training under Label Noise by Over-parameterization. - Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. - Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon:
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. - Jonne Sälevä, Constantine Lignos:
ParaNames: A Massively Multilingual Entity Name Corpus. - Jenny Tang, Eleanor Birrell, Ada Lerner:
How Well Do My Results Generalize Now? The External Validity of Online Privacy and Security Surveys. - Nikunj Saunshi, Jordan T. Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham M. Kakade, Akshay Krishnamurthy:
Understanding Contrastive Learning Requires Incorporating Inductive Biases. - Adiba Yaseen, Imran Amin, Naeem Akhter, Asa Ben-Hur, Fayyaz A. Minhas:
Insights into performance evaluation of com-pound-protein interaction prediction methods. - Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang:
BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding. - Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. - Jonas Haldemann, Victor Ksoll, Daniel Walter, Yann Alibert, Ralf S. Klessen, Willy Benz, Ullrich Köthe, Lynton Ardizzone, Carsten Rother:
Exoplanet Characterization using Conditional Invertible Neural Networks. - Matthew P. Battley, David J. Armstrong, Don Pollacco:
YOUNG Star detrending for Transiting Exoplanet Recovery (YOUNGSTER) II: Using Self-Organising Maps to explore young star variability in Sectors 1-13 of TESS data. - Mo Zhou, Jianfeng Lu:
Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. - Iordanis Kerenidis, Anupam Prakash:
Quantum machine learning with subspace states. - Conrad M. Albrecht, Fernando J. Marianno, Levente J. Klein:
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning. - Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang:
Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration. - Wyatt Bridgman, Xiaoxuan Zhang, Gregory H. Teichert, Mohammad Khalil, Krishna C. Garikipati, Reese E. Jones:
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference. - Julian Gerstenberg, Ralph Neininger, Denis Spiegel:
On solutions of the distributional Bellman equation. - Yuzhe Lu, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Tianyuan Yao, Jiachen Xu, Agnes B. Fogo, Yuankai Huo:
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification. - Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski:
Deconfounded Representation Similarity for Comparison of Neural Networks. - Nicklas Sindlev Andersen, Marco Chiarandini, Kristian Debrabant:
Dynamic Origin-Destination Matrix Estimation in Urban Traffic Networks. - Mark Tygert:
Calibration of P-values for calibration and for deviation of a subpopulation from the full population. - Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik D. Johansson, Devdatt P. Dubhashi, Sourabh Bikash Paul, Subhashis Banerjee:
Using satellites and artificial intelligence to measure health and material-living standards in India. - Omar Fawzi, Alexander Müller-Hermes, Ala Shayeghi:
A lower bound on the space overhead of fault-tolerant quantum computation. - Xin Sun, Feifei He, Daowen Qiu, Piotr Kulicki, Mirek Sopek, Meiyun Guo:
Distributed Quantum Vote Based on Quantum Logical Operators, a New Battlefield of the Second Quantum Revolution. - Ian McInerney, Eric C. Kerrigan:
Teaching Predictive Control Using Specification-based Summative Assessments. - Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka:
Fractional Motion Estimation for Point Cloud Compression. - Dong Huo, Abbas Masoumzadeh, Rafsanjany Kushol, Yee-Hong Yang:
Blind Image Deconvolution Using Variational Deep Image Prior. - Yansong Gao, Rahul Ramesh, Pratik Chaudhari:
Deep Reference Priors: What is the best way to pretrain a model? - Takayuki Kihara:
Rethinking the notion of oracle: A link between synthetic descriptive set theory and effective topos theory. - Nanao Kita:
Tight Cuts in Biartite Grafts I: Capital Distance Components. - Maxime Kawawa-Beaudan, Ryan Roggenkemper, Avideh Zakhor:
Recognition-Aware Learned Image Compression. - Joydeep Munshi, Alexander Rakowski, Benjamin H. Savitzky, Steven E. Zeltmann, Jim Ciston, Matthew L. Henderson, Shreyas Cholia, Andrew M. Minor, Maria K. Y. Chan, Colin Ophus:
Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns. - Pedro R. A. S. Bassi:
ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection. - Milan Janosov:
A Network Map of The Witcher. - Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks. - Liang Zhang:
Finite-time enclosing control for multiple moving targets: a continuous estimator approach. - Maxim A. Gavreev, Alena S. Mastiukova, Evgeniy O. Kiktenko, Aleksey K. Fedorov:
Learning entanglement breakdown as a phase transition by confusion. - Moeta Tsukamoto, Shuji Ito, Kensuke Ogawa, Yuto Ashida, Kento Sasaki, Kensuke Kobayashi:
Machine-learning-enhanced quantum sensors for accurate magnetic field imaging. - Kenta Iida, Hitoshi Kiya:
A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images. - Costas J. Efthimiou, Gregory DeCamillis, Indranil Ghosh:
A physics-driven study of dominance space in soccer. - Charles Bonnineau, Wassim Hamidouche, Jean-François Travers, Naty Sidaty, Jean-Yves Aubié, Olivier Déforges:
CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability. - Emilien Valat, Katayoun Farrahi, Thomas Blumensath:
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors. - Luca Anzalone, Tommaso Diotalevi, Daniele Bonacorsi:
Improving Parametric Neural Networks for High-Energy Physics (and Beyond). - Célia Cisternino:
Combinatorial properties of lazy expansions in Cantor real bases. - Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Carmine Talarico:
GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection. - Razieh Ganjee, Mohsen Ebrahimi Moghaddam, Ramin Nourinia:
A generalizable approach based on U-Net model for automatic Intra retinal cyst segmentation in SD-OCT images. - Anna Deza, Alper Atamtürk:
Safe Screening for Logistic Regression with 𝓁0-𝓁2 Regularization. - Abicumaran Uthamacumaran, Mohamed Abdouh, Kinshuk Sengupta, Zu-hua Gao, Stefano Forte, Thupten Tsering, Julia V. Burnier, Goffredo Arena:
Machine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study. - Luo Luo, Haishan Ye:
Decentralized Stochastic Variance Reduced Extragradient Method. - (Withdrawn) Intelligent Reflecting Surface Assisted Integrated Sensing and Communications for mmWave Channels.
- Abhinandan Panda, Srinivas Pinisetty, Partha S. Roop:
Runtime Monitoring and Statistical Approaches for Correlation Analysis of ECG and PPG. - Zongsheng Zheng, Lu Lu, Yi Yu, Rodrigo C. de Lamare, Zhigang Liu:
Study of filtered-x logarithmic recursive least p-power algorithm. - Da Li, Henry Gouk, Timothy M. Hospedales:
Finding lost DG: Explaining domain generalization via model complexity. - Jielin Qiu, Jiacheng Zhu, Michael A. Rosenberg, Emerson Liu, Ding Zhao:
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction. - Ryohei Oka, Yuta Nakahara, Toshiyasu Matsushima:
Stochastic 2D Signal Generative Model with Wavelet Packets Basis Regarded as a Random Variable and Bayes Optimal Processing. - Edmond Adib, Fatemeh Afghah, John J. Prevost:
Arrhythmia Classification using CGAN-augmented ECG Signals. - Ishan D. Khurjekar, Joel B. Harley:
Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational auto-encoders. - Jonas Schuff, Dominic T. Lennon, Simon Geyer, David L. Craig, Federico Fedele, Florian Vigneau, Leon C. Camenzind, Andreas V. Kuhlmann, G. Andrew D. Briggs, Dominik M. Zumbühl, Dino Sejdinovic, Natalia Ares:
Identifying Pauli spin blockade using deep learning. - Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Enamul Hoque Chowdhury, Tahir Hamid, Rashid Mazhar, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Moncef Gabbouj:
Blind ECG Restoration by Operational Cycle-GANs. - Arsham Gholamzadeh Khoee, Kimia Mohammadi Mohammadi, Mostafa Jani, Kourosh Parand:
A least squares support vector regression for anisotropic diffusion filtering. - Péter Mihajlik, András Balog, Tekla Etelka Gráczi, Anna Kohári, Balázs Tarján, Katalin Mády:
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian. - Parnian Kassraie, Jonas Rothfuss, Andreas Krause:
Meta-Learning Hypothesis Spaces for Sequential Decision-making. - Tamaghno Chatterjee, Aayushman Ghosh, Sayan Sarkar:
Signal Quality Assessment of Photoplethysmogram Signals using Quantum Pattern Recognition and lightweight CNN Architecture. - Priyanka Gupta, Sathvik Bhaskarpandit, Manik Gupta:
Similarity Learning based Few Shot Learning for ECG Time Series Classification. - Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry:
Datamodels: Predicting Predictions from Training Data. - Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M. Schmon:
Black-box Bayesian inference for economic agent-based models. - Anna Haensch, Natasa Dragovic, Christoph Börgers, Bruce M. Boghosian:
Covid-19 vaccine hesitancy and mega-influencers. - Sohom Ghosh, Sudip Kumar Naskar:
FiNCAT: Financial Numeral Claim Analysis Tool. - John K. Golden, Andreas Bärtschi, Stephan J. Eidenbenz, Daniel O'Malley:
Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search. - Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakuan Chen, Haiqin Ma, Jun Xia, Javier Del Ser, Guang Yang:
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus. - Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray:
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. - Matthis Maillard, François Anton, Joan Glaunès, Isabelle Bloch, Pietro Gori:
A deep residual learning implementation of Metamorphosis. - Hritam Basak, Rajarshi Bhattacharya, Rukhshanda Hussain, Agniv Chatterjee:
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation. - Kartikeya Agarwal, Tismeet Singh:
Classification of Skin Cancer Images using Convolutional Neural Networks. - Francesco Nardo, Davide Peressoni, Paolo Testolina, Marco Giordani, Andrea Zanella:
Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison. - Mohamed Elminshawi, Wolfgang Mack, Soumitro Chakrabarty, Emanuël A. P. Habets:
New Insights on Target Speaker Extraction. - Soumyadeep Pal, Matthew Tennant, Nilanjan Ray:
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential. - Marcelo Hartmann, Mark Girolami, Arto Klami:
Lagrangian Manifold Monte Carlo on Monge Patches. - Adam Doliwa:
Non-commutative Hermite-Padé approximation and integrability. - Emma R. Cobian, Jonathan D. Hauenstein, Fang Liu, Daniele E. Schiavazzi:
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation. - Álvaro Rodríguez Abella, Melvin Leok:
Discrete Dirac reduction of implicit Lagrangian systems with abelian symmetry groups. - Mahdi Nasiri, Benno Liebchen:
Reinforcement learning of optimal active particle navigation. - Antonin Schrab, Benjamin Guedj, Arthur Gretton:
KSD Aggregated Goodness-of-fit Test. - Naoyuki Kanda, Jian Wu, Yu Wu, Xiong Xiao, Zhong Meng, Xiaofei Wang, Yashesh Gaur, Zhuo Chen, Jinyu Li, Takuya Yoshioka:
Streaming Multi-Talker ASR with Token-Level Serialized Output Training. - Hongju Park, Mohamad Kazem Shirani Faradonbeh:
Efficient Algorithms for Learning to Control Bandits with Unobserved Contexts. - Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li:
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. - Gourab Ghosh Roy, Nicholas Geard, Karin Verspoor, Shan He:
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival Risk. - Shmuel Onn:
Matching Orderable and Separable Hypergraphs. - Phillip B. Mogensen, Nikolaj Thams, Jonas Peters:
Invariant Ancestry Search. - Antonis Armaou, Bryce Katch, Lucia Russo, Constantinos I. Siettos:
Designing Social Distancing Policies for the COVID-19 Pandemic: A probabilistic model predictive control approach. - Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. - Michael Herrmann, Simon Schwarz, Anja Sturm, Max Wardetzky:
Efficient Random Walks on Riemannian Manifolds. - Qing Xu, Wenting Duan, Na He:
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation. - Rebecca Marion, Johannes Lederer, Bernadette Govaerts, Rainer von Sachs:
VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering. - Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. - Joshua Bruton, Hairong Wang:
Dictionary learning for clustering on hyperspectral images. - Maksim Velikanov, Dmitry Yarotsky:
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions. - Ryo Kawada, Katsuhiro Endo, Daisuke Yuhara, Kenji Yasuoka:
MD-GAN with multi-particle input: the machine learning of long-time molecular behavior from short-time MD data. - Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis:
Gradient Variance Loss for Structure-Enhanced Image Super-Resolution. - Abril Corona-Figueroa, Jonathan Frawley, Sam Bond-Taylor, Sarath Bethapudi, Hubert P. H. Shum, Chris G. Willcocks:
MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray. - Andrij Vasylenko, Dmytro Antypov, Vladimir V. Gusev, Michael W. Gaultois, Matthew S. Dyer, Matthew J. Rosseinsky:
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties. - Hari Krovi:
Improved quantum algorithms for linear and nonlinear differential equations. - Zhangyang Gao, Cheng Tan, Stan Z. Li:
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB. - Rongjin Li, Weibin Zhang, Dongpeng Chen:
The CORAL++ Algorithm for Unsupervised Domain Adaptation of Speaker Recogntion. - Liyan Xu, Yile Gu, Jari Kolehmainen, Haidar Khan, Ankur Gandhe, Ariya Rastrow, Andreas Stolcke, Ivan Bulyko:
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT. - Yongqiang Wang, Angelia Nedic:
Tailoring Gradient Methods for Differentially-Private Distributed Optimization. - Milena Gazdieva, Litu Rout, Alexander Korotin, Alexander Filippov, Evgeny Burnaev:
Unpaired Image Super-Resolution with Optimal Transport Maps. - Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi:
GLISp-r: A preference-based optimization algorithm with convergence guarantees. - Isaac Friedman, Oscar Riaño, Svetlana Roudenko, Diana Son, Kai Yang:
Well-posedness and dynamics of solutions to the generalized KdV with low power nonlinearity. - Francesco Di Giovanni, Giulia Luise, Michael M. Bronstein:
Heterogeneous manifolds for curvature-aware graph embedding. - Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring. - Farnaz Khun Jush, Markus Biele, Peter M. Dueppenbecker, Andreas K. Maier:
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness. - (Withdrawn) Deep Layer-wise Networks Have Closed-Form Weights.
- Anna M. Maddux, Nicolò Pagan, Giuseppe Belgioioso, Florian Dörfler:
Data-Driven Behaviour Estimation in Parametric Games. - Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. - Leonardo Chiarello, Paolo Baracca, Karthik Upadhya, Saeed R. Khosravirad, Silvio Mandelli, Thorsten Wild:
Jamming Resilient Indoor Factory Deployments: Design and Performance Evaluation. - Julian Yarkony, Amelia Regan:
Principled Graph Management. - Sen Zhao, Erez Louidor, Oleksandr Mangylov, Maya R. Gupta:
Global Optimization Networks. - Torsten Mütze:
Combinatorial Gray codes-an updated survey. - Piotr Bialas, Piotr Korcyl, Tomasz Stebel:
Gradient estimators for normalising flows. - Xin Cao, Jasper S. Halekas, Stein Haaland, Suranga Ruhunusiri, Karl-Heinz Glassmeier:
Machine Learning Solar Wind Driving Magnetospheric Convection in Tail Lobes. - Umesh Vaidya, Duvan Tellez-Castro:
Data-Driven Stochastic Optimal Control using Linear Transfer Operators. - Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang:
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations. - Owen Lockwood:
An Empirical Review of Optimization Techniques for Quantum Variational Circuits. - Chaitanya Narisetty, Emiru Tsunoo, Xuankai Chang, Yosuke Kashiwagi, Michael Hentschel, Shinji Watanabe:
Joint Speech Recognition and Audio Captioning. - Antonio Raudino, Antonio Grassi, Giuseppe Lombardo, Giovanni Russo, Clarissa Astuto, Mario Corti:
Anomalous sorption kinetics of self-interacting particles by a spherical trap. - Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Minimax rate of consistency for linear models with missing values. - Jisung Yoon, Jinseo Park, Jinhyuk Yun, Woo-Sung Jung:
Quantifying knowledge synchronisation in the 21st century. - Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi:
A unified surrogate-based scheme for black-box and preference-based optimization. - Francesca Ronchini, Romain Serizel:
A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes. - Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Hairong Zheng:
PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging. - Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto:
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. - Weizhen Liu, Qian He, Xuming He:
Weakly Supervised Nuclei Segmentation via Instance Learning. - Jigyasa Nigam, Guillaume Fraux, Michele Ceriotti:
Unified theory of atom-centered representations and graph convolutional machine-learning schemes. - Bernd Sturmfels, Simon Telen, François-Xavier Vialard, Max von Renesse:
Toric Geometry of Entropic Regularization. - Linjuan Cheng, Chengshi Zheng, Andong Li, Renhua Peng, Xiaodong Li:
A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation. - Arthur Braida, Simon Martiel, Ioan Todinca:
On constant-time quantum annealing and guaranteed approximations for graph optimization problems. - Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji:
Removing Distortion Effects in Music Using Deep Neural Networks. - Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin Solomon:
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. - Jianhe Du, Kyoungho Ahn, Mohamed M. G. Farag, Hesham Rakha:
Environmental and Safety Impacts of Vehicle-to-Everything Enabled Applications: A Review of State-of-the-Art Studies. - James C. R. Whittington, David McCaffary, Jacob J. W. Bakermans, Timothy Edward John Behrens:
How to build a cognitive map: insights from models of the hippocampal formation. - Mitchell Daneker, Zhen Zhang, George Em Karniadakis, Lu Lu:
Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks. - Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. - Gabriel Ruiz, Oscar Hernan Madrid Padilla, Qing Zhou:
Sequential Learning of the Topological Ordering for the Linear Non-Gaussian Acyclic Model with Parametric Noise. - Shihang Feng, Peng Jin, Yinpeng Chen, Xitong Zhang, Zicheng Liu, Youzuo Lin:
Exploring Multi-physics with Extremely Weak Supervision. - Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco:
Multiclass learning with margin: exponential rates with no bias-variance trade-off. - Mingxing Li, Shenglong Zhou, Chang Chen, Yueyi Zhang, Dong Liu, Zhiwei Xiong:
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters. - Nadezhda Koriakina, Natasa Sladoje, Vladimir Basic, Joakim Lindblad:
Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning. - Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström:
Incorporating Sum Constraints into Multitask Gaussian Processes. - Joshua L. Pulsipher, Luke D. J. Coutinho, Tyler A. Soderstrom, Victor M. Zavala:
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control. - Zhibin Zou, Maqsood Careem, Aveek Dutta, Ngwe Thawdar:
Proofs and Supplementary Material: Unified Characterization and Precoding for Non-Stationary Channels. - Yan G. Grange, Vishambhar Nath Pandey, Xavier Espinal, R. Di Maria, A. P. Millar:
Astronomical data organization, management and access in Scientific Data Lakes. - Liyi Zhang, Christian A. Naesseth, David M. Blei:
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport. - Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett:
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits. - Renzo Comolatti, Erik Hoel:
Causal emergence is widespread across measures of causation. - Joseph Moyalan, Hyungjin Choi, Yongxin Chen, Umesh Vaidya:
Data-Driven Optimal Control via Linear Transfer Operators: A Convex Approach. - Xuan Xu, Prateek Prasanna:
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer. - Xiaohan Fu, Weize Mao, Lo-Bin Chang, Dongbin Xiu:
Modeling unknown dynamical systems with hidden parameters. - Timothy L. Kline, Felipe Kitamura, Ian Pan, Amine M. Korchi, Neil A. Tenenholtz, Linda Moy, Judy Wawira Gichoya, Igor Santos, Steven Blumer, Misha Ysabel Hwang, Kim-Ann Git, Abishek Shroff, Elad Walach, George Shih, Steve Langer:
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification. - Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters:
Exploiting Independent Instruments: Identification and Distribution Generalization. - Ilkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci:
Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks. - Benedikt Ahrens, Paige Randall North:
Univalent foundations and the equivalence principle. - Qingyu Qu, Xijun Li, Yunfan Zhou:
Yordle: An Efficient Imitation Learning for Branch and Bound. - Sebastian Hoffmann, Christian Lessig:
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics. - Mahabubul Alam, Swaroop Ghosh:
DeepQMLP: A Scalable Quantum-Classical Hybrid DeepNeural Network Architecture for Classification. - C. H. Sai Venkatesh, Caleb Meriga, M. G. V. L. Geethika, T. Lakshmi Gayatri, V. B. K. L. Aruna:
Modified ResNet Model for MSI and MSS Classification of Gastrointestinal Cancer. - Stephen R. Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam H. Shah:
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare. - Mohendra Roy:
Artificial Intelligence Powered Material Search Engine. - Wei Huang, Tianfu Qi, Yundi Guan, Qihang Peng, Jun Wang:
Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm. - Jeremy R. Manning:
Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordings. - Lang Liu, Mahdi Milani Fard, Sen Zhao:
Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces. - Matteo Marchi, Lucas Fraile, Paulo Tabuada:
Dirty derivatives for output feedback stabilization. - Chia-Ho Kuo, Hsin-Yuan Chang, Ronald Y. Chang, Wei-Ho Chung:
Unsupervised Learning Based Hybrid Beamforming with Low-Resolution Phase Shifters for MU-MIMO Systems. - Massimiliano Lupo Pasini, Pei Zhang, Samuel Temple Reeve, Jong Youl Choi:
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems. - Shama Siddiqui, Anwar Ahmed Khan, Qammer H. Abbasi, Muhammad Ali Imran, Indrakshi Dey:
A Nano-Architecture for Fertility Monitoring via Intra-body Communication. - Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. - Naijun Zheng, Na Li, Xixin Wu, Lingwei Meng, Jiawen Kang, Haibin Wu, Chao Weng, Dan Su, Helen Meng:
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge. - Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. - Jonas Wacker, Ruben Ohana, Maurizio Filippone:
Complex-to-Real Random Features for Polynomial Kernels. - Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar:
To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. - You-Lin Chen, Lenon Minorics, Dominik Janzing:
Correcting Confounding via Random Selection of Background Variables. - Yen Ting Lin, Robert B. Lowrie, Denis Aslangil, Yigit Subasi, Andrew T. Sornborger:
Koopman von Neumann mechanics and the Koopman representation: A perspective on solving nonlinear dynamical systems with quantum computers. - Carlos Caleiro, Sérgio Marcelino:
Modular many-valued semantics for combined logics. - Dieter Coppens, Eli De Poorter, Adnan Shahid, Sam Lemey, Chris Marshall:
An Overview of Ultra-WideBand (UWB) Standards(IEEE 802.15.4, FiRa, Apple): Interoperability Aspects and Future Research Directions. - Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon:
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. - Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang:
Deep End-to-end Causal Inference. - Amin Kaveh, Matteo Magnani, Christian Rohner:
Uncertainty in fMRI Functional Networks of Autism Brain Imaging Data. - Ioannis Papageorgiou, Ioannis Kontoyiannis:
Posterior Representations for Bayesian Context Trees: Sampling, Estimation and Convergence. - Zijin Gu, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski:
Personalized visual encoding model construction with small data. - Khuong N. Nguyen, Anum Ali, Jianhua Mo, Boon Loong Ng, Vutha Va, Jianzhong Charlie Zhang:
Beam Management with Orientation and RSRP using Deep Learning for Beyond 5G Systems. - Faïcel Chamroukhi, Nhat Thien Pham, Van Hà Hoang, Geoffrey J. McLachlan:
Functional Mixtures-of-Experts. - Igor G. Vladimirov, Ian R. Petersen:
Infinite-horizon risk-sensitive performance criteria for translation invariant networks of linear quantum stochastic systems. - Adrien Corenflos, Nicolas Chopin, Simo Särkkä:
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother. - Soumyadip Ghosh, Yingdong Lu, Tomasz J. Nowicki:
Polynomial convergence of iterations of certain random operators in Hilbert space. - Eviatar Bach, Michael Ghil:
A multi-model ensemble Kalman filter for data assimilation and forecasting. - Vignesh Kannan, Sameer Malik, Rajiv Soundararajan:
Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model. - Azam Asl, Haihao Lu:
A J-Symmetric Quasi-Newton Method for Minimax Problems. - Félix del Teso, Jørgen Endal, Espen R. Jakobsen:
Uniform tail estimates and Lp(RN)-convergence for finite-difference approximations of nonlinear diffusion equations. - Daniel Rehfeldt, Thorsten Koch, Yuji Shinano:
Faster exact solution of sparse MaxCut and QUBO problems. - Pablo Lemos, Niall Jeffrey, Miles D. Cranmer, Shirley Ho, Peter W. Battaglia:
Rediscovering orbital mechanics with machine learning. - Qizhong Liang, Ya-Chu Chan, Jutta Toscano, Kristen K. Bjorkman, Leslie A. Leinwand, Roy Parker, David J. Nesbitt, Jun Ye:
Frequency comb and machine learning-based breath analysis for COVID-19 classification. - Anilkumar Parsi, Andrea Iannelli, Roy S. Smith:
An explicit dual control approach for constrained reference tracking of uncertain linear systems. - Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers:
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation. - Michael Saccone, Francesco Caravelli, Kevin Hofhuis, Sergii Parchenko, Yorick A. Birkhölzer, Scott Dhuey, Armin Kleibert, Sebastiaan van Dijken, Cristiano Nisoli, Alan Farhan:
Direct observation of a dynamical glass transition in a nanomagnetic artificial Hopfield network. - Aashis Khanal, Saeid Motevali, Rolando Estrada:
Fully Automated Tree Topology Estimation and Artery-Vein Classification. - Abdullah H. Al-Shabili, Xiaojian Xu, Ivan W. Selesnick, Ulugbek S. Kamilov:
Bregman Plug-and-Play Priors. - Blake Mason, Kwang-Sung Jun, Lalit Jain:
An Experimental Design Approach for Regret Minimization in Logistic Bandits. - Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener:
OMLT: Optimization & Machine Learning Toolkit. - Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi, Nikos Melanitis, Spyretta Golemati, Konstantina S. Nikita:
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images. - Robin Delabays, Saber Jafarpour, Francesco Bullo:
Multistability and Paradoxes in Lossy Oscillator Networks. - Nikolas Papadopoulos, Nikos Melanitis, Antonio Lozano, Cristina Soto-Sánchez, Eduardo Fernández, Konstantina S. Nikita:
Machine Learning Method for Functional Assessment of Retinal Models. - J. Jon Ryu, Young-Han Kim:
One-Nearest-Neighbor Search is All You Need for Minimax Optimal Regression and Classification. - Ce Ju, Cuntai Guan:
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification. - Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton:
Importance Weighting Approach in Kernel Bayes' Rule. - Jie Ding, Xiaohua Xu, Shuai Ma, Xinshan Zhu:
Asymptotic Critical Radii in Random Geometric Graphs over 3-Dimensional Convex regions. - Reza Atefi, Manuel Iori, Majid Salari, Dario Vezzali:
A Practical Vehicle Routing Problem for Monitoring Water Distribution Networks. - Ronaldo Garcia, Nicholas McDonald, Dan Reznik:
Exploring the Dynamics of the Circumcenter Map. - Igor Fabrici, Borut Luzar, Simona Rindosová, Roman Soták:
Proper conflict-free and unique-maximum colorings of planar graphs with respect to neighborhoods. - Weiqi Wang, Brian J. Spencer:
Does elastic stress modify the equilibrium corner angle? - Renzo Gómez, Juan Gutiérrez:
Path eccentricity of graphs. - (Withdrawn) ROMNet: Renovate the Old Memories.
- Allison H. Baker, Alexander Pinard, Dorit M. Hammerling:
DSSIM: a structural similarity index for floating-point data. - Nicolas Gillis, Punit Sharma:
Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization. - Suk Jai Seo, Peter J. Slater:
Graphical parameters for classes of tumbling block graphs. - Simin Ma, Shaoyang Ning, Shihao Yang:
COVID-19 and Influenza Joint Forecasts Using Internet Search Information in the United States. - Samuel Lippl, L. F. Abbott, SueYeon Chung:
The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks. - Dat Do, Nhat Ho, XuanLong Nguyen:
Beyond Black Box Densities: Parameter Learning for the Deviated Components. - Lexing Ying:
Stable factorization for phase factors of quantum signal processing. - Zhiyong Zheng, Fengxia Liu:
On the High Dimensional RSA Algorithm - A Public Key Cryptosystem Based on Lattice and Algebraic Number Theory. - Weiqing Wang, Xiaoyi Qin, Ming Li:
Cross-Channel Attention-Based Target Speaker Voice Activity Detection: Experimental Results for M2MeT Challenge. - Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolutions via Implicit Kernels for Medical Imaging. - Jaydip Sen, Saikat Mondal, Sidra Mehtab:
Portfolio Optimization on NIFTY Thematic Sector Stocks Using an LSTM Model. - Jaydip Sen, Sidra Mehtab, Abhishek Dutta, Saikat Mondal:
Hierarchical Risk Parity and Minimum Variance Portfolio Design on NIFTY 50 Stocks. - Yanming Che, Clemens Gneiting, Franco Nori:
Estimating the Euclidean Quantum Propagator with Deep Generative Modelling of Feynman paths. - Xavier Allamigeon, Marin Boyet, Stephane Gaubert:
Computing Transience Bounds of Emergency Call Centers: a Hierarchical Timed Petri Net Approach. - Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain, Muhammad Umar Javed, Amber Kiyani, Nasir M. Rajpoot, Syed Ali Khurram, Hassan Aqeel Khan:
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. - Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Michael Persiianov, Peter Richtárik, Alexander V. Gasnikov:
Optimal Algorithms for Decentralized Stochastic Variational Inequalities. - Yuan Tian, Guo Lu, Yichao Yan, Guangtao Zhai, Li Chen, Zhiyong Gao:
Perceptual Coding for Compressed Video Understanding: A New Framework and Benchmark. - Jaejin Cho, Borjan A. Gagoski, Taehyung Kim, Qiyuan Tian, Stephen Robert Frost, Itthi Chatnuntawech, Berkin Bilgic:
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction. - Ghania Fatima, Aakash Arora, Prabhu Babu, Petre Stoica:
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals. - Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurélien Lucchi:
Anticorrelated Noise Injection for Improved Generalization. - Peter J. Bevan, Amir Atapour-Abarghouei:
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification. - Arjun Soin, Jameson Merkow, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren:
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI. - Reese Pathak, Cong Ma, Martin J. Wainwright:
A new similarity measure for covariate shift with applications to nonparametric regression. - Lina Li, Luke Postle:
The chromatic number of triangle-free hypergraphs. - Jonathan Keeler, Tamás Linder, Serdar Yüksel:
An Asymptotically Optimal Two-Part Coding Scheme for Networked Control under Fixed-Rate Constraints. - Barak Amihood, Asaf Cohen:
Covertly Controlling a Linear System. - Merve Turhan, Ersin Öztürk, Hakan Ali Çirpan:
Deep Learning-Aided Spatial Multiplexing with Index Modulation. - Merve Turhan, Ersin Öztürk, Hakan Ali Çirpan:
Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation. - Esha Saha, Hayden Schaeffer, Giang Tran:
HARFE: Hard-Ridge Random Feature Expansion. - Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin, Mirko Bronzi:
On Using Transformers for Speech-Separation. - Ameya D. Jagtap, Dimitrios Mitsotakis, George Em Karniadakis:
Deep learning of inverse water waves problems using multi-fidelity data: Application to Serre-Green-Naghdi equations. - Pilhyeon Lee, Sunhee Hwang, Jewook Lee, Minjung Shin, Seogkyu Jeon, Hyeran Byun:
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition. - Valery A. Ugrinovskii, Ian R. Petersen, Iman Shames:
Global convergence and optimality of the heavy ball method for non-convex optimization. - Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim:
Learning fair representation with a parametric integral probability metric. - Hongming Li, Shujian Yu, José C. Príncipe:
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. - Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias:
SUD: Supervision by Denoising for Medical Image Segmentation. - Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Satyajeet P. Khare:
A comprehensive survey on computational learning methods for analysis of gene expression data in genomics. - Yueying Ma, Chengbo Wang, Chengenze Jiang, Zimo Li:
Deep Residual Shrinkage Networks for EMG-based Gesture Identification. - Zhiguo Fu, Junda Li, Xiongxin Yang:
Beyond Windability: An FPRAS for The Six-Vertex Model. - Gabriel Turinici:
Algorithms that get old : the case of generative algorithms. - Jernej Rudi Finzgar, Philipp Ross, Johannes Klepsch, André Luckow:
QUARK: A Framework for Quantum Computing Application Benchmarking. - Yazhong Si, Fan Yang, Ya Guo, Wei Zhang, Yipu Yang:
A comprehensive benchmark analysis for sand dust image reconstruction. - Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt:
Structure-Aware Transformer for Graph Representation Learning. - Jack Raymond, Radomir Stevanovic, William Bernoudy, Kelly Boothby, Catherine C. McGeoch, Andrew J. Berkley, Pau Farré, Andrew D. King:
Hybrid quantum annealing for larger-than-QPU lattice-structured problems. - Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov:
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. - Jie Pu, Yixiong Meng, Oguz Elibol:
Building Synthetic Speaker Profiles in Text-to-Speech Systems. - Franck Galpin, Philippe Bordes, Thierry Dumas, Pavel Nikitin, Fabrice Le Léannec:
Neural Network based Inter bi-prediction Blending. - Ogulcan E. Orsel, Sasha S. Yamada:
Comparative Study of Machine Learning Models for Stock Price Prediction. - Jia Wang, Hongwei Zhu, Jiancheng Shen, Yu Cao, Benyuan Liu:
Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements. - Clara Loeh, Matthias Uschold:
L2-Betti numbers and computability of reals. - Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim:
SLIDE: a surrogate fairness constraint to ensure fairness consistency. - Prajnanaswaroopa S:
On chromatic parameters of some Regular graphs. - Shu Wang, Yuhuang Hu, Shih-Chii Liu:
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events. - Tianxiao Han, Qianqian Yang, Zhiguo Shi, Shibo He, Zhaoyang Zhang:
Semantic-aware Speech to Text Transmission with Redundancy Removal. - Arnaud Deleruyelle, John Klein, Cristian Versari:
SODA: Self-organizing data augmentation in deep neural networks - Application to biomedical image segmentation tasks. - Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou:
A Variational Edge Partition Model for Supervised Graph Representation Learning. - Olaf Post, Sebastian Zimmer:
Generalised norm resolvent convergence: comparison of different concepts. - Mohamed Aymane Ahajjam, Daniel Bonilla Licea, Mounir Ghogho, Abdellatif Kobbane:
Short-term Multi-horizon Residential Electric Load Forecasting using Deep Learning and Signal Decomposition Methods. - Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou:
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition. - Dimitrios Dagdilelis, Mogens Blanke, Rasmus Hjorth Andersen, Roberto Galeazzi:
Cyber-resilience for marine navigation by information fusion and change detection. - Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Spectro Temporal EEG Biomarkers For Binary Emotion Classification. - Ender Ayanoglu, Filippo Capolino, A. Lee Swindlehurst:
Wave-Controlled Metasurface-Based Reconfigurable Intelligent Surfaces. - Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad:
Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects. - Xing Liu, Harrison Zhu, Jean-François Ton, George Wynne, Andrew B. Duncan:
Grassmann Stein Variational Gradient Descent. - Andy Regensky, Christian Herglotz, André Kaup:
Motion-Plane-Adaptive Inter Prediction in 360-Degree Video Coding. - V. Roshan Joseph:
Optimal Ratio for Data Splitting. - Qiyu Hu, Guangyi Zhang, Zhijin Qin, Yunlong Cai, Guanding Yu:
Robust Semantic Communications Against Semantic Noise. - Rongjun Qin, Tao Liu:
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit, Model Scalability and Transferability. - Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan:
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights. - Shangchen Zhou, Chongyi Li, Chen Change Loy:
LEDNet: Joint Low-light Enhancement and Deblurring in the Dark. - Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo:
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start. - Marius Hofert, Avinash Prasad, Mu Zhu:
Dependence model assessment and selection with DecoupleNets. - Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff:
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience. - Rania Gaber, AbdElmgied Ali, Kareem Ahmed:
Performance Evaluation of Infrared Image Enhancement Techniques. - Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai:
A Topology-Attention ConvLSTM Network and Its Application to EM Images. - Masayuki Tsuneki, Fahdi Kanavati:
Inference of captions from histopathological patches. - Xinliang Fu, Jiayin Zheng, Juanyun Mai, Yanbo Shao, Minghao Wang, Linyu Li, Zhaoqi Diao, Yulong Chen, Jianyu Xiao, Jian You, Airu Yin, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo Wang, Hua Ji:
A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation. - Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen:
Multi-modal data generation with a deep metric variational autoencoder. - Benjamin Couéraud, François Gay-Balmaz:
Variational discretization of the Navier-Stokes-Fourier system. - Trang H. Tran, Lam M. Nguyen, Katya Scheinberg:
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization. - Wenjie Fang:
Bijections between planar maps and planar linear normal λ-terms with connectivity condition. - Puyuan Peng, David Harwath:
Self-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling. - Zhipeng Ding, Marc Niethammer:
Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment. - Juan Eugenio Iglesias, Riana Schleicher, Sonia Laguna, Benjamin Billot, Pamela Schaefer, Brenna McKaig, Joshua N. Goldstein, Kevin N. Sheth, Matthew S. Rosen, W. Taylor Kimberly:
Accurate super-resolution low-field brain MRI. - Callen MacPhee, Madhuri Suthar, Bahram Jalali:
Phase-Stretch Adaptive Gradient-Field Extractor (PAGE). - Chang Min Hyun, Taigyntuya Bayaraa, Hye Sun Yun, Tae Jun Jang, Hyoung Suk Park, Jin Keun Seo:
Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling. - Dipkamal Bhusal, Sanjeeb Prasad Panday:
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs. - Vin Sachidananda, Shao-Yen Tseng, Erik Marchi, Sachin Kajarekar, Panayiotis G. Georgiou:
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations. - Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell:
Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach. - Quang Minh Nguyen, Hoang H. Nguyen, Yi Zhou, Lam M. Nguyen:
On the Convergence of Gradient Extrapolation Methods for Unbalanced Optimal Transport. - Daniel Gurevich, Debdipta Goswami, Charles L. Fefferman, Clarence W. Rowley:
Optimal Control with Learning on the Fly: System with Unknown Drift. - Kenta Watanabe:
On the classification of non-aCM curves on quintic hypersurfaces in P3. - Masaki Ochi, Tatsuro Kawamoto:
Contribution of directedness in graph spectra. - Søren Taverniers, Svyatoslav Korneev, Kyle M. Pietrzyk, Morad Behandish:
Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning. - Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger:
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. - Émilie Charlier, Célia Cisternino, Zuzana Masáková, Edita Pelantová:
Spectrum, algebraicity and normalization in alternate bases. - Huimin Bi, Xin Zhang:
Defective incidence coloring of graphs. - Juan Zuluaga-Gomez, Noureddine Zerhouni, Zeina Al Masry, Christine Devalland, Christophe Varnier:
A Survey of Breast Cancer Screening Techniques: Thermography and Electrical Impedance Tomography. - Mengke Qi, Xin Zhang:
Conflict-free incidence coloring and two-way radio networks. - Saveliy V. Skresanov:
Two-closure of rank 3 groups in polynomial time. - Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo P. Mandic, Lei He, Sheng Zhao:
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training. - Huilin Qu, Congqiao Li, Sitian Qian:
Particle Transformer for Jet Tagging. - Ali Girayhan Özbay, Sylvain Laizet:
Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings. - Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. - Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert:
On the Pitfalls of Using the Residual Error as Anomaly Score. - Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. - Ertug Karamatli, Serap Kirbiz:
Unsupervised Source Separation via Self-Supervised Training. - Hoang La, Petru Valicov:
Computer assisted discharging procedure on planar graphs: application to 2-distance coloring. - Jiamin Ou, Vincent Buskens, Arnout van de Rijt, Debabrata Panja:
Influence maximization under limited network information: Seeding high-degree neighbors. - Shiv G. Yücel, Rafael H. M. Pereira, Pedro S. Peixoto, Chico Q. Camargo:
Impact of Network Centrality and Income on Slowing Infection Spread after Outbreaks. - Murugan Sankaradas, Kunal Rao, Ravi Rajendran, Amit Redkar, Srimat Chakradhar:
Edge-based fever screening system over private 5G. - Volodymyr Sushch:
2D discrete Hodge-Dirac operator on the torus. - Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto:
Distribution Regression with Sliced Wasserstein Kernels. - Jacques Bara, Paolo Turrini, Giulia Andrighetto:
Enabling Imitation-Based Cooperation in Dynamic Social Networks. - Ionut-Gabriel Farcas, Gabriele Merlo, Frank Jenko:
A general framework for quantifying uncertainty at scale and its application to fusion research. - Dan Garber, Ron Fisher:
Efficient Algorithms for High-Dimensional Convex Subspace Optimization via Strict Complementarity. - Dan Garber, Atara Kaplan:
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems. - Muhammad Imran, Gábor Ivanyos:
An exact quantum hidden subgroup algorithm and applications to solvable groups. - Markus Lohrey, Lukas Lück:
Streaming word problems. - Jiwoong Jason Jeong, Brianna L. Vey, Ananth Reddy Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey H. Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi:
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. - Xinkai Zhao, Chaowei Fang, De-Jun Fan, Xutao Lin, Feng Gao, Guanbin Li:
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation. - Takeshi Ikuma, Andrew J. McWhorter, Lacey Adkins, Melda Kunduk:
Time-varying harmonic models for voice signal analysis. - Ben Adlam, Neha Gupta, Zelda Mariet, Jamie Smith:
Understanding the bias-variance tradeoff of Bregman divergences. - (Withdrawn) A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies.
- Gökberk Elmas, Salman Ul Hassan Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur:
Federated Learning of Generative Image Priors for MRI Reconstruction. - Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martinez-Pena, Eileen L. Tang, Suraj M. S, Cristian Regep, Jeremy B. R. Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King, Yoshua Bengio:
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro. - Young-Geun Kim, Ying Liu, Xuexin Wei:
Covariate-informed Representation Learning with Samplewise Optimal Identifiable Variational Autoencoders. - Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen:
Evaluating Causal Inference Methods. - Matthew Harding, Gabriel F. R. Vasconcelos:
Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings? - Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho:
Improving Computational Complexity in Statistical Models with Second-Order Information. - Akash Haridas, Nagabhushana Rao Vadlamani, Yuki Minamoto:
Deep Neural Networks to Correct Sub-Precision Errors in CFD. - Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii:
Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network. - Luyining Gan, Jie Han:
The decision problem for perfect matchings in dense hypergraphs. - Jie Wang, Yao Xie:
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets. - Zimo Wang, Yicheng Wang, Sensen Wu:
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China. - Shogo Sagawa, Hideitsu Hino:
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity. - Kristóf Bérczi, Tamás Király, Tamás Schwarcz, Yutaro Yamaguchi, Yu Yokoi:
Hypergraph characterization of split matroids. - Pooja Algikar, Yijun Xu, Lamine Mili:
A Measurement-Based Robust Non-Gaussian Process Emulator Applied to Data-Driven Stochastic Power Flow. - J. M. Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling:
A hypothesis-driven method based on machine learning for neuroimaging data analysis. - Jie Chen, Chang Liu, Jiawu Xie, Jie An, Nan Huang:
Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation. - Lorenzo Chicchi, Duccio Fanelli, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti:
Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification. - Adrian Alan Pol, Thea Aarrestad, Ekaterina Govorkova, Roi Halily, Anat Klempner, Tal Kopetz, Vladimir Loncar, Jennifer Ngadiuba, Maurizio Pierini, Olya Sirkin, Sioni Summers:
Lightweight Jet Reconstruction and Identification as an Object Detection Task. - Ryan Moodie:
Optimising hadronic collider simulations using amplitude neural networks. - Zohaib Amjad Khan, Azeddine Beghdadi, Mounir Kaaniche, Faouzi Alaya Cheikh, Osama Gharbi:
End-to-End Blind Quality Assessment for Laparoscopic Videos using Neural Networks. - Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia de Sa:
Spectrally Adaptive Common Spatial Patterns. - Wenbo Sun, Dipesh Niraula, Issam El-Naqa, Randall K. Ten Haken, Ivo D. Dinov, Kyle Cuneo, Judy Jin:
Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making. - Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso:
Noise fingerprints in quantum computers: Machine learning software tools. - Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard D. Wilkinson:
Adjoint-aided inference of Gaussian process driven differential equations. - Yoshio Ebihara, Hayato Waki, Victor Magron, Ngoc Hoang Anh Mai, Dimitri Peaucelle, Sophie Tarbouriech:
Stability Analysis of Recurrent Neural Networks by IQC with Copositive Mutipliers. - Shanzhi Yin, Fanyang Meng, Wen Tan, Chao Li, Youneng Bao, Yongsheng Liang, Wei Liu:
Exploring Structural Sparsity in Neural Image Compression. - Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I. Shamir:
Reproducibility in Optimization: Theoretical Framework and Limits. - Tongyang Xu, Fan Liu, Christos Masouros, Izzat Darwazeh:
An Experimental Proof of Concept for Integrated Sensing and Communications Waveform Design. - Samer AlSamadi, Francesco Ferrante, Sophie Tarbouriech:
Anti-windup-like Compensator Synthesis for Discrete-Time Quantized Control Systems. - Yujia Jin, Aaron Sidford, Kevin Tian:
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. - Yoann Pelet, Ittoop Vergheese Puthoor, Natarajan Venkatachalam, Sören Wengerowsky, Martin Loncaric, Sebastian Philipp Neumann, Bo Liu, Zeljko Samec, Mario Stipcevic, Rupert Ursin, Erika Andersson, John G. Rarity, Djeylan Aktas, Siddarth Koduru Joshi:
Unconditionally secure digital signatures implemented in an 8-user quantum network. - Antony Orth, Kathleen L. Sampson, Yujie Zhang, Kayley Ting, Derek Aranguren van Egmond, Kurtis Laqua, Thomas Lacelle, Daniel Webber, Dorothy Fathi, Jonathan Boisvert, Chantal Paquet:
On-the-fly 3D metrology of volumetric additive manufacturing. - Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor:
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model. - Vasiliki Sideri-Lampretsa, Georgios Kaissis, Daniel Rueckert:
Multi-modal unsupervised brain image registration using edge maps. - Muhammad Shahzad, Arif Iqbal Umar, Syed Hamad Shirazi, Israr Ahmed Shaikh:
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network. - Philippe Gimenez, Diego Ruano, Rodrigo San-José:
Saturation and vanishing ideals. - Adam Block, Yuval Dagan, Noah Golowich, Alexander Rakhlin:
Smoothed Online Learning is as Easy as Statistical Learning. - Michael Weylandt, George Michailidis:
A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks. - Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, François-Xavier Briol:
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap. - Zhenguo Zhang, Qianqian Yang, Shibo He, Mingyang Sun, Jiming Chen:
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information. - Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
A Neural Network Model of Continual Learning with Cognitive Control. - Ziyin Liu, Botao Li, Xiangming Meng:
Exact Solutions of a Deep Linear Network. - Svyatoslav Korneev, Jérôme Gilles, Ilenia Battiato:
Multiclass histogram-based thresholding using kernel density estimation and scale-space representations. - Kazuyuki Arikawa, Shoichi Koyama, Hiroshi Saruwatari:
Spatial active noise control based on individual kernel interpolation of primary and secondary sound fields. - Ikbeom Jang, Garrison Danley, Ken Chang, Jayashree Kalpathy-Cramer:
Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating. - Weiran Yao, Guangyi Chen, Kun Zhang:
Learning Latent Causal Dynamics. - Yan Zuo, Amir Dezfouli, Iadine Chades, David Alexander, Benjamin Ward Muir:
Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals. - Shengkai Li, Hussain N. Gynai, Steven Tarr, Pablo Laguna, Gongjie Li, Daniel I. Goldman:
Robophysical modeling of spacetime dynamics. - David Durfee, Aman Gupta, Kinjal Basu:
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization. - Maokui He, Xiang Lv, Weilin Zhou, Jingjing Yin, Xiaoqi Zhang, Yuxuan Wang, Shutong Niu, Yuhang Cao, Heng Lu, Jun Du, Chin-Hui Lee:
The USTC-Ximalaya system for the ICASSP 2022 multi-channel multi-party meeting transcription (M2MeT) challenge. - Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang:
Settling the Communication Complexity for Distributed Offline Reinforcement Learning. - Gora Adj, Jesús-Javier Chi-Domínguez, Víctor Mateu, Francisco Rodríguez-Henríquez:
Faulty isogenies: a new kind of leakage. - Rui Qiu, Zhou Yu, Ruoqing Zhu:
Random Forests Weighted Local Fréchet Regression with Theoretical Guarantee. - Kalpita Ghosh, Asim Kumar Ghosh:
Study of COVID-19 epidemiological evolution in India with a multi-wave SIR model. - Yuyang Hu, Jiaming Liu, Xiaojian Xu, Ulugbek S. Kamilov:
Monotonically Convergent Regularization by Denoising. - Ruida Xie, Andrew G. Dempster:
Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier. - Irene Fonseca, Lisa Maria Kreusser, Carola-Bibiane Schönlieb, Matthew Thorpe:
Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation. - Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang:
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory. - Gergely Neu, Gábor Lugosi:
Generalization Bounds via Convex Analysis. - Piotr Kuwalek:
IEC Flickermeter Measurement Results for Distorted Modulating Signal while Supplied with Distorted Voltage. - Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret:
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. - Piotr Kuwalek:
Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuations Sources in Power Grids. - Yurii Kolomoitsev, Tetiana Lomako:
Sharp Lp-error estimates for sampling operators. - Alan Mishler, Niccolò Dalmasso:
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings. - Junqi Tang:
Equivariance Regularization for Image Reconstruction. - Luis Pedro Silvestrin, Harry van Zanten, Mark Hoogendoorn, Ger Koole:
Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case. - Christian Kuehn, Elena Queirolo:
Computer Validation of Neural Network Dynamics: A First Case Study. - Manuel Sam Ribeiro, Julian Roth, Giulia Comini, Goeric Huybrechts, Adam Gabrys, Jaime Lorenzo-Trueba:
Cross-speaker style transfer for text-to-speech using data augmentation. - Yingzhanghao Zhou, Xiang Chen, Peng Zhang, Jun Wang, Lei Wang, Hong Guo:
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems. - Gabriele Di Bona, Enrico Ubaldi, Iacopo Iacopini, Bernardo Monechi, Vito Latora, Vittorio Loreto:
Social interactions affect discovery processes. - Blair L. Bilodeau, Linbo Wang, Daniel M. Roy:
Adaptively Exploiting d-Separators with Causal Bandits. - Christian Soize:
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints. - Hao Jiang, Yanning Zhou, Yi Lin, Ronald C. K. Chan, Jiang Liu, Hao Chen:
Deep Learning for Computational Cytology: A Survey. - (Withdrawn) Load Balancing and Resource Allocation in Fog-Assisted 5G Networks: An Incentive-based Game Theoretic Approach.
- Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng:
Deep learning for drug repurposing: methods, databases, and applications. - Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola:
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction. - Ahmad Mozaffer Karim:
Effective classification of ecg signals using enhanced convolutional neural network in iot. - Lars Kaulen, Justus T. C. Schwabedal, Jules Schneider, Philipp Ritter, Stephan Bialonski:
SUMO: Advanced sleep spindle identification with neural networks. - Shahid M. Ali, Sovuthy Cheab, Sima Noghanian, Qammer H. Abbasi, Tatjana Asenova, Peter Derleth, Alex Casson, Tughrul Arslan, Amir Hussain:
Design of Flexible Meander Line Antenna for Healthcare for Wireless Medical Body Area Networks. - Gorkem Polat, Ilkay Ergenc, Haluk Tarik Kani, Yesim Ozen Alahdab, Ozlen Atug, Alptekin Temizel:
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation. - Rami N. Khushaba, Andrew J. Hill:
Radar-based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units. - Gourav Siddhad, Anmol Gupta, Debi Prosad Dogra, Partha Pratim Roy:
Efficacy of Transformer Networks for Classification of Raw EEG Data. - Prateek Singh, Ambalika Sharma, Shreesha Maiya:
Automated Atrial Fibrillation Classification Based on Denoising Stacked Autoencoder and Optimized Deep Network. - Gino Cassella, Halvard Sutterud, Sam Azadi, N. D. Drummond, David Pfau, James S. Spencer, W. Matthew C. Foulkes:
Discovering Quantum Phase Transitions with Fermionic Neural Networks. - Junpei Komiyama:
Bayes Optimal Algorithm is Suboptimal in Frequentist Best Arm Identification. - Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer:
Uncovering Instabilities in Variational-Quantum Deep Q-Networks. - Jan Kronqvist, Ruth Misener, Calvin Tsay:
P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints. - Devansh Jalota:
Matching with Transfers under Distributional Constraints. - Masahiro Kato, Masaaki Imaizumi:
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression. - Yaqi Duan, Kaizheng Wang:
Adaptive and Robust Multi-task Learning. - You Zhang, Ge Zhu, Zhiyao Duan:
A New Fusion Strategy for Spoofing Aware Speaker Verification. - Andrew Ma, Yang Zhang, Thomas Christensen, Hoi Chun Po, Li Jing, Liang Fu, Marin Soljacic:
Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials. - Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao:
Conditional Diffusion Probabilistic Model for Speech Enhancement. - David E. J. Waddington, Nicholas Hindley, Neha Koonjoo, Christopher Chiu, Tess Reynolds, Paul Z. Y. Liu, Bo Zhu, Danyal Bhutto, Chiara Paganelli, Paul J. Keall, Matthew S. Rosen:
On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy. - Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging. - Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee:
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers. - Stefano D'Aronco, Giorgio Trumpy, David Pfluger, Jan Dirk Wegner:
A Deep Learning Approach for Digital ColorReconstruction of Lenticular Films. - Dominik Müller, Iñaki Soto Rey, Frank Kramer:
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation. - Biwei Dai, Uros Seljak:
Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis. - Sayantan Bhadra, Umberto Villa, Mark A. Anastasio:
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems. - Alberto Bietti, Chen-Yu Wei, Miroslav Dudík, John Langford, Zhiwei Steven Wu:
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Optimization. - David Eppstein, Robert Hickingbotham, Laura Merker, Sergey Norin, Michal T. Seweryn, David R. Wood:
Three-dimensional graph products with unbounded stack-number. - Fateme Bahri, Nilanjan Ray:
Dynamic Background Subtraction by Generative Neural Networks. - Hamed Hamze Bajgiran, Federico Echenique:
Closure operators: Complexity and applications to classification and decision-making. - Michael Rawson, Jakob Hultgren:
Optimal Transport for Super Resolution Applied to Astronomy Imaging. - Soumick Chatterjee, Chompunuch Sarasaen, Georg Rose, Andreas Nürnberger, Oliver Speck:
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI. - Shi Yan, Taghi Ramazanian, Elham Sagheb, Walter K. Kremers, Vipin Chaudhary, Michael J. Taunton, Hilal Maradit Kremers, Ahmad P. Tafti:
Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure. - Jiahui Wang, Alfred K. C. Cheung, Aleksandra Spyra, Ian A. D. Williamson, Jian Guan, Martin F. Schubert:
Massively parallel pixel-by-pixel nanophotonic optimization using a Green's function formalism. - Olabanji Shonibare, Xiaosu Tong, Venkatesh Ravichandran:
Enhancing ASR for Stuttered Speech with Limited Data Using Detect and Pass. - Daniel T. Speckhard, Karolis Misiunas, Sagi Perel, Tenghui Zhu, Simon Carlile, Malcolm Slaney:
Neural Architecture Search for Energy Efficient Always-on Audio Models. - Xiao Fang, Malay Ghosh:
Posterior Consistency for Bayesian Relevance Vector Machines. - Ian M. Schmutte, Nathan Yoder:
Information Design for Differential Privacy. - Yichen Qian, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin:
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. - Weidong Liu, Xiaojun Mao, Xin Zhang:
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach. - Mohammed Elaroussi, Lhouari Nourine, Mohammed Said Radjef, Simon Vilmin:
On the preferred extensions of argumentation frameworks: bijections with naive extensions. - Haoyue Tian, Pan Gao, Ran Wei, Manoranjan Paul:
Dilated convolutional neural network-based deep reference picture generation for video compression. - Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, Florian Tramèr:
What Does it Mean for a Language Model to Preserve Privacy? - Lhouari Nourine, Simon Vilmin:
The enumeration of meet-irreducible elements based on hierarchical decompositions of implicational bases. - Max Aehle, Johan Alme, Gergely Gábor Barnaföldi, Johannes Blühdorn, Tea Bodova, Vyacheslav Borshchov, Anthony van den Brink, Mamdouh Chaar, Viljar Eikeland, Gregory Feofilov, Christoph Garth, Nicolas R. Gauger, Georgi Genov, Ola Grøttvik, Håvard Helstrup, Sergey Igolkin, Ralf Keidel, Chinorat Kobdaj, Tobias Kortus, Viktor Leonhardt, Shruti Mehendale, Raju Ningappa Mulawade, Odd Harald Odland, George O'Neill, Gábor Papp, Thomas Peitzmann, Helge Egil Seime Pettersen, Pierluigi Piersimoni, Rohit Pochampalli, Maksym Protsenko, Max Rauch, Attiq Ur Rehman, Matthias Richter, Dieter Röhrich, Max Sagebaum, Joshua Santana, Alexander Schilling, Joao Seco, Arnon Songmoolnak, Jarle Rambo Sølie, Ganesh Tambave, Ihor Tymchuk, Kjetil Ullaland, Monika Varga-Kofarago, Lennart Volz, Boris Wagner, Steffen Wendzel, Alexander Wiebel, RenZheng Xiao, Shiming Yang, Hiroki Yokoyama, Sebastian Zillien:
Derivatives in Proton CT. - Reuben Adams, John Shawe-Taylor, Benjamin Guedj:
Controlling Confusion via Generalisation Bounds. - Antoine Picard-Weibel, Benjamin Guedj:
On change of measure inequalities for f-divergences. - Christoph Obermair, Thomas Cartier-Michaud, Andrea Apollonio, William Millar, Lukas Felsberger, Lorenz Fischl, Holger Severin Bovbjerg, Daniel Wollmann, Walter Wuensch, Nuria Catalan Lasheras, Marçà Boronat, Franz Pernkopf, Graeme Burt:
Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities. - Haoyu Wei, Xiaoyu Lei, Huiming Zhang:
Inference and FDR Control for Simulated Ising Models in High-dimension. - Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi:
Measuring dissimilarity with diffeomorphism invariance. - James Vuckovic:
Long-Time Convergence and Propagation of Chaos for Nonlinear MCMC. - Pascal Peter:
A Wasserstein GAN for Joint Learning of Inpainting and its Spatial Optimisation. - Muhammad Usama, Hafeez Anwar, Muhammad Muaz Shahid, Abbas Anwar, Saeed Anwar:
Vehicle and License Plate Recognition with Novel Dataset for Toll Collection. - Oliver Dürr, Stephan Hörling, Daniel Dold, Ivonne Kovylov, Beate Sick:
Bernstein Flows for Flexible Posteriors in Variational Bayes. - Arjuna Scagnetto, Giulia Barbati, Ilaria Gandin, C. Cappelletto, Giovanni Baj, Alberto Cazzaniga, Francesca Cuturello, Alessio Ansuini, Luca Bortolussi, A. Di Lenarda:
Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG. - Hewei Liu, Shuyuan Zhu, Ruiqin Xiong, Guanghui Liu, Bing Zeng:
Cross-Block Difference Guided Fast CU Partition for VVC Intra Coding. - Madeline Navarro, Santiago Segarra:
Graphon-aided Joint Estimation of Multiple Graphs. - Yuxuan Huang, Luiz Fernando Capretz, Danny Ho:
Machine Learning for Stock Prediction Based on Fundamental Analysis. - Dylan Savoia, Alessio Ragno, Roberto Capobianco:
Molecule Generation from Input-Attributions over Graph Convolutional Networks. - Alessio Ragno, Dylan Savoia, Roberto Capobianco:
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships. - Kamil David Sommer, Lucas Reineking, Yogesh Parry Ravichandran, Romuald Skoda, Martin Mönnigmann:
Estimating flow fields with Reduced Order Models of Centrifugal Pumps. - Jie Wang, Yuji Liu, Binling Wang, Yiming Zhi, Song Li, Shipeng Xia, Jiayang Zhang, Lin Li, Qingyang Hong, Feng Tong:
The xmuspeech system for multi-channel multi-party meeting transcription challenge. - Said Ouala, Steven L. Brunton, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. - Nicolas Borie, Justine Falque:
Product-Coproduct Prographs and Triangulations of the Sphere. - Do Edmond Sanou, Christophe Ambroise, Geneviève Robin:
Inference of Multiscale Gaussian Graphical Model. - Amin Coja-Oghlan, Andreas Galanis, Leslie Ann Goldberg, Jean Bernoulli Ravelomanana, Daniel Stefankovic, Eric Vigoda:
Metastability of the Potts ferromagnet on random regular graphs. - Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. - Muhammad I. Qureshi, Usman A. Khan:
Distributed saddle point problems for strongly concave-convex functions. - Denis Boyda, Salvatore Calì, Sam Foreman, Lena Funcke, Daniel C. Hackett, Yin Lin, Gert Aarts, Andrei Alexandru, Xiao-Yong Jin, Biagio Lucini, Phiala E. Shanahan:
Applications of Machine Learning to Lattice Quantum Field Theory. - Marcus Greferath, Cornelia Rößing:
Group testing via residuation and partial geometries. - Daniel Tarnu:
On the maximal autocorrelation of Rudin-Shapiro sequences. - Thomas W. Narock, Ayris Narock, Luiz F. G. dos Santos, Teresa Nieves-Chinchilla:
Identification of Flux Rope Orientation via Neural Networks. - Martino Banchio, Giacomo Mantegazza:
Games of Artificial Intelligence: A Continuous-Time Approach. - Martino Banchio, Andrzej Skrzypacz:
Artificial Intelligence and Auction Design. - Junfang Zhu, Xuezao Ren, Peijie Ma, Kun Gao, Bing-Hong Wang, Tao Zhou:
Detecting network communities via greedy expanding based on local superiority index. - Hao Xu, Jinglong Lin, Qianyi Liu, Yuntian Chen, Jianning Zhang, Yang Yang, Michael C. Young, Yan Xu, Dongxiao Zhang, Fanyang Mo:
High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques. - (Withdrawn) Cloud-based computational model predictive control using a parallel multi-block ADMM approach.
- Aravind Ravi:
Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations. - Yang-Hui He:
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook. - Zihang Liu, Chunhui Zhao:
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training. - Cong Shen, Jing Yang, Jie Xu:
On Federated Learning with Energy Harvesting Clients. - Jitendra Maan, Harsh Maan:
Breast Cancer Detection using Histopathological Images. - Md. Kamrul Hasan, Sifat Redwan Wahid, Faria Rahman, Shanjida Khan Maliha, Sauda Binte Rahman:
Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network. - Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk:
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. - Santiago R. Balseiro, Haihao Lu, Vahab S. Mirrokni, Balasubramanian Sivan:
From Online Optimization to PID Controllers: Mirror Descent with Momentum. - Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig:
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation. - Claire E. Heaney, Zef Wolffs, Jón Atli Tómasson, Lyes Kahouadji, Pablo Salinas, André Nicolle, Omar K. Matar, Ionel Michael Navon, Narakorn Srinil, Christopher C. Pain:
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes. - Alexandros-Apostolos A. Boulogeorgos, Nestor D. Chatzidiamantis, Harilaos G. Sandalidis, Angeliki Alexiou, Marco Di Renzo:
Performance Analysis of Multi-Reconfigurable Intelligent Surface-Empowered THz Wireless Systems. - Levon Nurbekyan, Wanzhou Lei, Yunan Yang:
Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems. - Nadee Seneviratne, Carol Y. Espy-Wilson:
Multimodal Depression Classification Using Articulatory Coordination Features And Hierarchical Attention Based Text Embeddings. - Xu Lang:
Reduced-Form Allocations with Complementarity: A 2-Person Case. - Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, Yun Gu:
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation. - Aymen Al Marjani, Tomás Kocák, Aurélien Garivier:
On the complexity of All ε-Best Arms Identification. - Shaofeng Lu, Minling Feng, Kunpeng Wu:
On the Exactness of an Energy-efficient Train Control model based on Convex Optimization. - Abhisekh Sankaran:
Pseudo-finiteness of arbitrary graphs of bounded shrub-depth. - Qiqi He, Xiaoheng Sun, Yi Yu, Wei Li:
DEEPCHORUS: A Hybrid Model of Multi-scale Convolution and Self-attention for Chorus Detection. - Yu Wang, Yarong Ji, Hongbing Xiao:
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation. - Yixing Huang, Andreas K. Maier, Rainer Fietkau, Christoph Bert, Florian Putz:
Learning Perspective Deformation in X-Ray Transmission Imaging. - Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, Asiya Batool, Anabia Sohail, Muhammad Waleed Khan:
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron. - Sami Haidar-Wehbe, Samuel R. Emerson, Louis J. M. Aslett, James Liley:
Optimal sizing of a holdout set for safe predictive model updating. - Patrick Arras:
Ore- and Pósa-type conditions for partitioning 2-edge-coloured graphs into monochromatic cycles. - Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova:
Distribution augmentation for low-resource expressive text-to-speech. - Lirong Xia:
How Likely A Coalition of Voters Can Influence A Large Election? - Jacopo Villa, Andrew French, Jay McMahon, Daniel J. Scheeres, Benjamin J. Hockman:
Gravity Estimation at Small Bodies via Optical Tracking of Hopping Artificial Probes. - Sourav Das, Solomon Tesfamariam:
State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning. - Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Chang Min Park, Jong Chul Ye:
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation. - Frederik Geth, Bin Liu:
Notes on BIM and BFM Optimal Power Flow With Parallel Lines and Total Current Limits. - Guandong Li, Chunju Zhang:
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks. - Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek:
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification. - Junde Wu, Huihui Fang, Binghong Wu, Dalu Yang, Yehui Yang, Yanwu Xu:
Opinions Vary? Diagnosis First! - Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, Yu Tsao:
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement. - Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata:
Tight integration of neural- and clustering-based diarization through deep unfolding of infinite Gaussian mixture model. - Yu Fu, Shunjie Dong, Yi Liao, Le Xue, Yuanfan Xu, Feng Li, Qianqian Yang, Tianbai Yu, Mei Tian, Cheng Zhuo:
A resource-efficient deep learning framework for low-dose brain PET image reconstruction and analysis. - Aryan Eftekhari, Simon Scheidegger:
High-Dimensional Dynamic Stochastic Model Representation. - Yiming Fan, Huaiqian You, Xiaochuan Tian, Xiu Yang, Xingjie Helen Li, Naveen Prakash, Yue Yu:
A Meshfree Peridynamic Model for Brittle Fracture in Randomly Heterogeneous Materials. - Nikita Shvetsov, Morten Grønnesby, Edvard Pedersen, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Ruth Schwienbacher, Lars Ailo Bongo, Thomas K. Kilvaer:
A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images. - Vo Nguyen Le Duy, Ichiro Takeuchi:
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference. - Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton H. J. Koning, Stefan Klein:
Multi-Atlas Segmentation and Spatial Alignment of the Human Embryo in First Trimester 3D Ultrasound. - Amol Mandhane, Anton Zhernov, Maribeth Rauh, Chenjie Gu, Miaosen Wang, Flora Xue, Wendy Shang, Derek Pang, Rene Claus, Ching-Han Chiang, Cheng Chen, Jingning Han, Angie Chen, Daniel J. Mankowitz, Jackson Broshear, Julian Schrittwieser, Thomas Hubert, Oriol Vinyals, Timothy A. Mann:
MuZero with Self-competition for Rate Control in VP9 Video Compression. - Cong Sun, Xian Liu, Bile Peng, Eduard A. Jorswieck:
Resource allocation for reconfigurable intelligent surface aided broadcast channels. - Haibin Wu, Heng-Cheng Kuo, Naijun Zheng, Kuo-Hsuan Hung, Hung-Yi Lee, Yu Tsao, Hsin-Min Wang, Helen Meng:
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery. - Ilya Kiselev, Chang Gao, Shih-Chii Liu:
Spiking Cochlea with System-level Local Automatic Gain Control. - Charly Robinson La Rocca, Emma Frejinger, Jean-François Cordeau:
Minimizing Entropy to Discover Good Solutions to Recurrent Mixed Integer Programs. - Yadong Zhang, Chenye Zou, Xin Chen:
Attention-based Deep Neural Networks for Battery Discharge Capacity Forecasting. - Etienne Boursier, Mikhail Konobeev, Nicolas Flammarion:
Trace norm regularization for multi-task learning with scarce data. - Martin R. Albrecht, Milos Prokop, Yixin Shen, Petros Wallden:
Variational quantum solutions to the Shortest Vector Problem. - Seungpyo Kang, Minseon Kim, Kyoungmin Min:
Machine Learning-Aided Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries. - Chengshi Zheng, Wenzhe Liu, Andong Li, Yuxuan Ke, Xiaodong Li:
Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer. - Pinar Baki, Heysem Kaya, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah:
Speech Analysis for Automatic Mania Assessment in Bipolar Disorder. - Ignacio García-Marco, Kolja Knauer:
Beyond symmetry in generalized Petersen graphs. - Yan Zhu, Ya-Dong Wu, Ge Bai, Yuexuan Wang, Giulio Chiribella:
Flexible learning of quantum states with generative query neural networks. - Anna Gujgiczer, János Körner, Gábor Simonyi:
Codes with structured Hamming distance in graph families. - Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf:
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective". - Ninad Dileep Mehendale, Pragya Gupta, Nishant Rajadhyaksha, Ansh Dagha, Mihir Hundiwala, Aditi Paretkar, Sakshi Chavan, Tanmay Mishra:
A Graphical Approach For Brain Haemorrhage Segmentation. - Raaz Dwivedi, Susan A. Murphy, Devavrat Shah:
Counterfactual inference for sequential experimental design. - Shirshendu Ganguly, Ella Hiesmayr, Kyeongsik Nam:
Upper tail behavior of the number of triangles in random graphs with constant average degree. - Xingang Guo, Bin Hu:
Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods. - João M. Pereira, Joe Kileel, Tamara G. Kolda:
Tensor Moments of Gaussian Mixture Models: Theory and Applications. - Daniel Murnane, Savannah Thais, Jason Wong:
Semi-Equivariant GNN Architectures for Jet Tagging. - Raphaël Aymeric, Yves Jaouën, Cédric Ware, Romain Alléaume:
Symbiotic joint operation of quantum and classical coherent communications. - Peiyuan Zhang, Jingzhao Zhang, Suvrit Sra:
Minimax in Geodesic Metric Spaces: Sion's Theorem and Algorithms. - Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Richter Jørgensen, Ole Winther, Alfiia Galimzianova:
DermX: an end-to-end framework for explainable automated dermatological diagnosis. - Björn List, Li-Wei Chen, Nils Thürey:
Learned Turbulence Modelling with Differentiable Fluid Solvers. - Yue Xing, Qifan Song, Guang Cheng:
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness. - Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
A Survey of Cross-Modality Brain Image Synthesis. - Quoc Dang Vu, Kashif Rajpoot, Shan E Ahmed Raza, Nasir M. Rajpoot:
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images. - Yonggi Park, Kelum Gajamannage, Dilhani I. Jayathilake, Erik M. Bollt:
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling. - Grace W. Lindsay:
Testing the Tools of Systems Neuroscience on Artificial Neural Networks. - Edmond Cunningham, Adam D. Cobb, Susmit Jha:
Principal Manifold Flows. - Alberto Del Pia, Aida Khajavirad:
Rank-one Boolean tensor factorization and the multilinear polytope. - Sergey Goncharov, Dirk Hofmann, Pedro Nora, Lutz Schröder, Paul Wild:
Quantalic Behavioural Distances. - Vivek F. Farias, Ciamac Moallemi, Tianyi Peng, Andrew Zheng:
Synthetically Controlled Bandits. - Rex W. Douglass, Thomas Leo Scherer, J. Andrés Gannon, Erik Gartzke, Jon R. Lindsay, Shannon Carcelli, Jonathan Wilkenfeld, David M. Quinn, Catherine Aiken, Jose Miguel Cabezas Navarro, Neil Lund, Egle Murauskaite, Diana Partridge:
Introducing the ICBe Dataset: Very High Recall and Precision Event Extraction from Narratives about International Crises. - Hongzhi Zhu, Septimiu E. Salcudean, Robert Rohling:
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification. - Yong Hu, Shan Huang, Albert Y. Han, Seong Moon, Jeffrey F. Krane, Oscar Stafsudd, Maie A. St. John:
Dynamic optical contrast imaging for real-time delineation of tumor resection margins using head and neck cancer as a model. - Sanguo Zhu:
Asymptotics of the quantization errors for Markov-type measures with complete overlaps. - Hongzhi Zhu, Robert Rohling, Septimiu E. Salcudean:
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images. - Kyle J. Ray, James P. Crutchfield:
Gigahertz Sub-Landauer Momentum Computing. - Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar:
TURF: A Two-factor, Universal, Robust, Fast Distribution Learning Algorithm. - Qifan Xu, Qihui Lyu, Dan Ruan, Ke Sheng:
To what extent can Plug-and-Play methods outperform neural networks alone in low-dose CT reconstruction. - Yang Hu, Adam Wierman, Guannan Qu:
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. - Hajime Ono, Kazuhiro Minami, Hideitsu Hino:
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. - Yiwei Guo, Chenpeng Du, Kai Yu:
Unsupervised word-level prosody tagging for controllable speech synthesis. - Nicholas C. Landolfi, Sanjay Lall:
Probabilistic Modeling Using Tree Linear Cascades. - Renato Paes Leme, Jon Schneider:
Multiparameter Bernoulli Factories. - Gangmin Son, Jinhyuk Yun, Hawoong Jeong:
Quantifying team chemistry in scientific collaboration. - Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio:
REPID: Regional Effect Plots with implicit Interaction Detection. - Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard, Nicolas Loizou:
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods. - Philine Widmer, Sergio Galletta, Elliott Ash:
Media Slant is Contagious. - Margaux Zaffran, Aymeric Dieuleveut, Olivier Féron, Yannig Goude, Julie Josse:
Adaptive Conformal Predictions for Time Series. - Pierre Orhan, Yves Boubenec, Jean-Rémi King:
Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex. - YinYin Yu, Guillaume Saint-Jacques:
Choosing an algorithmic fairness metric for an online marketplace: Detecting and quantifying algorithmic bias on LinkedIn. - Xintao Xiang, Artem Lenskiy:
Realistic Counterfactual Explanations by Learned Relations. - Emilia Siviero, Emilie Chautru, Stéphan Clémençon:
A Statistical Learning View of Simple Kriging. - Mohammadtaher Safarzadeh, Asad Khan, Eliu A. Huerta, Martin Wattenberg:
Interpreting a Machine Learning Model for Detecting Gravitational Waves. - Göran Köber, Raffael Kalisch, Lara M. C. Puhlmann, Andrea Chmitorz, Anita Schick, Harald Binder:
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods. - Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang:
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. - Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer:
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis. - George A. Anastassiou:
Algebraic function based Banach space valued ordinary and fractional neural network approximations. - Zi-qiang Zhang, Jie Zhang, Jian-Shu Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai:
Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition. - Valentin Khrulkov, Ivan V. Oseledets:
Understanding DDPM Latent Codes Through Optimal Transport. - Taehyun Yoon:
Confidence Threshold Neural Diving. - Ziwei Luo, Haibin Huang, Lei Yu, Youwei Li, Haoqiang Fan, Shuaicheng Liu:
Deep Constrained Least Squares for Blind Image Super-Resolution. - Dailan He, Ziming Yang, Yuan Chen, Qi Zhang, Hongwei Qin, Yan Wang:
Post-Training Quantization for Cross-Platform Learned Image Compression. - Darius Petermann, Minje Kim:
SpaIn-Net: Spatially-Informed Stereophonic Music Source Separation. - Andréanne Lemay, Charley Gros, Julien Cohen-Adad:
Label fusion and training methods for reliable representation of inter-rater uncertainty. - Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Silvia De Sanjosé, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer:
Improving the repeatability of deep learning models with Monte Carlo dropout. - Ryan Keisler:
Forecasting Global Weather with Graph Neural Networks. - Elena Di Lavore, Pawel Sobocinski:
Monoidal Width. - Vishnu Jejjala, Washington Taylor, Andrew Turner:
Identifying equivalent Calabi-Yau topologies: A discrete challenge from math and physics for machine learning. - Michal Pilipczuk, Marek Sokolowski:
Graphs of bounded twin-width are quasi-polynomially χ-bounded. - Noeloikeau F. Charlot, Daniel J. Gauthier:
Sensitivity of a Chaotic Logic Gate. - Steven Finch:
Second Best, Third Worst, Fourth in Line. - Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. - Balázs Keszegh:
A new discrete theory of pseudoconvexity. - Duolikun Danier, Fan Zhang, David Bull:
A Subjective Quality Study for Video Frame Interpolation. - Colin Lea, Zifang Huang, Dhruv Jain, Lauren Tooley, Zeinab Liaghat, Shrinath Thelapurath, Leah Findlater, Jeffrey P. Bigham:
Nonverbal Sound Detection for Disordered Speech. - Bogdan Alecu, Vadim V. Lozin, Daniel A. Quiroz, Roman Rabinovich, Igor Razgon, Viktor Zamaraev:
The treewidth and pathwidth of graph unions. - Qiang Wang, Susan Fernandes, Gareth O. S. Williams, Neil Finlayson, Ahsan R. Akram, Kevin Dhaliwal, James R. Hopgood, Marta Vallejo:
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images. - Farzam Toudeh-Fallah, Marco Pistoia, Yasushi Kawakura, Navid Moazzami, David H. Kramer, Robert I. Woodward, Greg Sysak, Benny John, Omar Amer, Antigoni Polychroniadou, Jeffrey Lyon, Suresh Shetty, Tulasi D. Movva, Sudhir Upadhyay, Monik Raj Behera, Joseph A. Dolphin, Paul Anthony Haigh, James F. Dynes, Andrew J. Shields:
Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment in Mission-Critical Environments. - Deep Ray, Harisankar Ramaswamy, Dhruv V. Patel, Assad A. Oberai:
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems. - Deacon Linkhorn:
The pseudofinite monadic second order theory of finite words. - Heinz-Peter Gumm, Mona Taheri:
Saturated Kripke Structures as Vietoris Coalgebras. - Serge Kernbach, Olga Kernbach, Igor Kuksin, Andreas Kernbach, Yury Nepomnyashchiy, Timo Dochow, Andrew Bobrov:
The Biosensor based on electrochemical dynamics of fermentation in yeast Saccharomyces Cerevisiae. - Vahid Khalkhali, Nabila Shawki, Vinit Shah, Meysam Golmohammadi, Iyad Obeid, Joseph Picone:
Low Latency Real-Time Seizure Detection Using Transfer Deep Learning. - Yi Ren, Ming Lei, Zhiying Huang, Shiliang Zhang, Qian Chen, Zhijie Yan, Zhou Zhao:
ProsoSpeech: Enhancing Prosody With Quantized Vector Pre-training in Text-to-Speech. - Wenwei Zhao, Pingli Ma, Chen Li, Xiaoning Bu, Shuojia Zou, Tao Jiang, Marcin Grzegorzek:
A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis. - Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim:
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. - Yi Dong, Zhiyong Chen:
Fixed-time Synchronization of Networked Uncertain Euler-Lagrange Systems. - Philipp Schmitz, Timm Faulwasser, Karl Worthmann:
Willems' fundamental lemma for linear descriptor systems and its use for data-driven output-feedback MPC. - Longshaokan Wang, Lingda Wang, Mina Georgieva, Paulo Machado, Abinaya Ulagappa, Safwan Ahmed, Yan Lu, Arjun Bakshi, Farhad Ghassemi:
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual Selection. - Alberto González-Sanz, Lucas de Lara, Louis Béthune, Jean-Michel Loubes:
GAN Estimation of Lipschitz Optimal Transport Maps. - Xin Liu, Kang Gong, Lei Ying:
Large-System Insensitivity of Zero-Waiting Load Balancing Algorithms. - Pamela Fleischmann, Lukas Haschke, Annika Huch, Annika Mayrock, Dirk Nowotka:
m-Nearly k-Universal Words - Investigating Simon Congruence. - Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. - (Withdrawn) On the Self Shuffle Language.
- Janne M. J. Huttunen, Dani Korpi, Mikko Honkala:
DeepTx: Deep Learning Beamforming with Channel Prediction. - Mark Kelly, Mark Fortune, Gilles Bourque, Stephen Dooley:
Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models. - Raúl Berganza Gómez, Corey O'Meara, Giorgio Cortiana, Christian B. Mendl, Juan Bernabé-Moreno:
Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Framework. - Tomoro Tanaka, Kohei Yatabe, Masahiro Yasuda, Yasuhiro Oikawa:
APPLADE: Adjustable Plug-and-play Audio Declipper Combining DNN with Sparse Optimization. - Bento Natura, Meike Neuwohner, Stefan Weltge:
The Pareto cover problem. - Lilach Barkat, Moti Freiman, Haim Azhari:
Image translation of Ultrasound to Pseudo Anatomical Display Using Artificial Intelligence. - Shaman Bhattacharyya, Somnath Bhattacharyya:
Holonomic control of a three-qubits system in an NV center using a near-term quantum computer. - Lei Wu:
Learning a Single Neuron for Non-monotonic Activation Functions. - Sören Schulze, Emily J. King:
Formulating Beurling LASSO for Source Separation via Proximal Gradient Iteration. - Srinivasan Arunachalam, Sergey Bravyi, Chinmay Nirkhe, Bryan O'Gorman:
The Parameterized Complexity of Quantum Verification. - Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò:
Modular multi-source prediction of drug side-effects with DruGNN. - Adam Gabrys, Goeric Huybrechts, Manuel Sam Ribeiro, Chung-Ming Chien, Julian Roth, Giulia Comini, Roberto Barra-Chicote, Bartek Perz, Jaime Lorenzo-Trueba:
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module. - Tom Vieijra, Laurens Vanderstraeten, Frank Verstraete:
Generative modeling with projected entangled-pair states. - Eric Bonnetier, Angèle Niclas, Laurent Seppecher, Grégory Vial:
The Helmholtz problem in slowly varying waveguides at locally resonant frequencies. - Heguang Lin, Mengze Li, Daniel L. Pimentel-Alarcón, Matthew Malloy:
Geometry of the Minimum Volume Confidence Sets. - Vladislavs Klevickis, Krisjanis Prusis, Jevgenijs Vihrovs:
Quantum speedups for treewidth. - Rob Rahm:
Sampling The Lowest Eigenfunction to Recover the Potential in a One-Dimensional Schrödinger Equation. - Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. - Abdul Karim Obeid, Peter Bruza, Catarina Moreira, Axel Bruns, Daniel Angus:
An Extension Of Combinatorial Contextuality For Cognitive Protocols. - Ying Shen, Huiyu Yang, Lin Lin:
Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model. - Erfan Abedi, Salman Beigi, Leila Taghavi:
Quantum Lazy Training. - Shahina Rahman, Valen E. Johnson, Suhasini Subba Rao:
Using the left Gram matrix to cluster high dimensional data. - Vikash Gupta, Mutlu Demirer, Robert W. Maxwell, Richard D. White, Barbaros Selnur Erdal:
A multi-reconstruction study of breast density estimation using Deep Learning. - Soo Min Kwon, Xin Li, Anand D. Sarwate:
Low-Rank Phase Retrieval with Structured Tensor Models. - Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning. - Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor Gabriel Leandro Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas S., Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. - Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. - Suchetan Dontha, Shi Jie Samuel Tan, Stephen Smith, Sangheon Choi, Matthew Coudron:
Approximating Output Probabilities of Shallow Quantum Circuits which are Geometrically-local in any Fixed Dimension. - Chiu-Yen Kao, Braxton Osting, Jackson C. Turner:
Flat tori with large Laplacian eigenvalues in dimensions up to eight. - Felix Leditzky, Debbie W. Leung, Vikesh Siddhu, Graeme Smith, John A. Smolin:
Generic nonadditivity of quantum capacity in simple channels. - Felix Leditzky, Debbie W. Leung, Vikesh Siddhu, Graeme Smith, John A. Smolin:
The platypus of the quantum channel zoo. - Ruichao Jiang, Javad Tavakoli, Yiqiang Zhao:
Laplacian operator on statistical manifold. - Jiafeng Chen:
Synthetic Control As Online Linear Regression. - Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual attention analysis of pathologists examining whole slide images of Prostate cancer. - Takuya Mieno, Shunsuke Inenaga, Takashi Horiyama:
RePair Grammars are the Smallest Grammars for Fibonacci Words. - Jin Sakuma, Tatsuya Komatsu, Robin Scheibler:
MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition. - Kento Nagatomo, Masahiro Yasuda, Kohei Yatabe, Shoichiro Saito, Yasuhiro Oikawa:
Wearable SELD dataset: Dataset for sound event localization and detection using wearable devices around head. - Tatsuya Komatsu, Shinji Watanabe, Koichi Miyazaki, Tomoki Hayashi:
Acoustic Event Detection with Classifier Chains. - Tatsuya Komatsu:
Non-Autoregressive ASR with Self-Conditioned Folded Encoders. - Shunhua Jiang, Bento Natura, Omri Weinstein:
A Faster Interior-Point Method for Sum-of-Squares Optimization. - Linjie Liu, Zhilong Xiao, Xiaojie Chen, Attila Szolnoki:
Early exclusion leads to cyclical cooperation in repeated group interactions. - Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye:
A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies. - Junghyun Koo, Seungryeol Paik, Kyogu Lee:
End-to-end Music Remastering System Using Self-supervised and Adversarial Training. - Chao-Han Huck Yang, Zeeshan Ahmed, Yile Gu, Joseph Szurley, Roger Ren, Linda Liu, Andreas Stolcke, Ivan Bulyko:
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition. - Imran Ul Haq:
An overview of deep learning in medical imaging. - Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, Haoyuan Chen, Wanli Liu, Yudong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorzek:
EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. - Mohammed Sbihi, Nicolas Couellan:
Robust SVM Optimization in Banach spaces. - Felicia Lucke, Felix Mann:
Using Edge Contractions and Vertex Deletions to Reduce the Independence Number and the Clique Number. - Arnaud Boutillon, Asma Salhi, Valérie Burdin, Bhushan Borotikar:
Anatomically Parameterized Statistical Shape Model: Explaining Morphometry through Statistical Learning. - Patricio Fuentes:
Error Correction for Reliable Quantum Computing. - Enric Moreu, Kevin McGuinness, Noel E. O'Connor:
Synthetic data for unsupervised polyp segmentation. - Huaqian Wu, Nicolas Souedet, Caroline Jan, Cédric Clouchoux, Thierry Delzescaux:
End-to-end Neuron Instance Segmentation based on Weakly Supervised Efficient UNet and Morphological Post-processing. - Eloi Moliner, Vesa Välimäki:
A Two-stage U-Net for high-fidelity denoising of historical recordings. - Corneel Casert, Isaac Tamblyn, Stephen Whitelam:
Learning stochastic dynamics and predicting emergent behavior using transformers. - Ian Waudby-Smith, Zhiwei Steven Wu, Aaditya Ramdas:
Locally private nonparametric confidence intervals and sequences. - Marcus Michelen, Will Perkins:
Strong spatial mixing for repulsive point processes. - Ozan Alp Topal, Gunes Karabulut-Kurt:
Physical Layer Authentication for LEO Satellite Constellations. - Jeff Calder, Mahmood Ettehad:
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth. - Cong Han, Emine Merve Kaya, Kyle Hoefer, Malcolm Slaney, Simon Carlile:
Multi-Channel Speech Denoising for Machine Ears. - Andrea Montanari, Basil Saeed:
Universality of empirical risk minimization. - Eleni Nisioti, Clément Moulin-Frier:
Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition. - Alexander Gresch, Lennart Bittel, Martin Kliesch:
Scalable approach to many-body localization via quantum data. - Chen Xu, Xiuyuan Cheng, Yao Xie:
Training neural networks using monotone variational inequality. - Thomas Goossens, Zheng Lyu, Jamyuen Ko, Gordon Wan, Joyce E. Farrell, Brian A. Wandell:
Ray-transfer functions for camera simulation of 3D scenes with hidden lens design. - Anastasia Kuznetsova, Anurag Kumar, Jennifer Drexler Fox, Francis M. Tyers:
Curriculum optimization for low-resource speech recognition. - Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas:
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications. - Yasaman Khorsandmanesh, Emil Björnson, Joakim Jaldén:
Quantisation-aware Precoding for MU-MIMO with Limited-capacity Fronthaul. - Iman Nodozi, Abhishek Halder:
A Distributed Algorithm for Measure-valued Optimization with Additive Objective. - Varun A. Kelkar, Mark A. Anastasio:
Prior image-based medical image reconstruction using a style-based generative adversarial network. - Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen:
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations. - Zeyd Boukhers, Azeddine Bouabdallah, Matthias Lohr, Jan Jürjens:
Ensemble and Multimodal Approach for Forecasting Cryptocurrency Price. - Rian Dolphin, Barry Smyth, Ruihai Dong:
Stock Embeddings: Learning Distributed Representations for Financial Assets. - Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval:
Private Quantiles Estimation in the Presence of Atoms. - Samuele Centorrino, Jean-Pierre Florens, Jean-Michel Loubes:
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables. - Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. - Tianning Xu, Ruoqing Zhu, Xiaofeng Shao:
On Variance Estimation of Random Forests. - Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe:
Microplankton life histories revealed by holographic microscopy and deep learning. - Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar:
Interpolation and Regularization for Causal Learning. - Jiawei Yang, Hanbo Chen, Jiangpeng Yan, Xiaoyu Chen, Jianhua Yao:
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning. - Chuchu Chen, Tonghe Dang, Jialin Hong, Tau Zhou:
Central limit theorem for full discretization of parabolic SPDE. - Disong Wang, Shan Yang, Dan Su, Xunying Liu, Dong Yu, Helen Meng:
VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion. - Disong Wang, Songxiang Liu, Xixin Wu, Hui Lu, Lifa Sun, Xunying Liu, Helen Meng:
Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation. - Ali Nouruzi, Atefeh Rezaei, Ata Khalili, Nader Mokari, Mohammad Reza Javan, Eduard A. Jorswieck, Halim Yanikomeroglu:
Toward a Smart Resource Allocation Policy via Artificial Intelligence in 6G Networks: Centralized or Decentralized? - Guillaume Olikier, Kyle A. Gallivan, Pierre-Antoine Absil:
Comparison of an Apocalypse-Free and an Apocalypse-Prone First-Order Low-Rank Optimization Algorithm. - Masahiro Yasuda, Yasunori Ohishi, Shoichiro Saito:
Echo-aware Adaptation of Sound Event Localization and Detection in Unknown Environments. - Masahiro Yasuda, Yasunori Ohishi, Shoichiro Saito, Noboru Harada:
Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion. - Augustin Chevallier, Frédéric Cazals, Paul Fearnhead:
Efficient computation of the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes. - Vrunda N. Sukhadia, Srinivasan Umesh:
Domain Adaptation of low-resource Target-Domain models using well-trained ASR Conformer Models. - Éric Fusy, Erkan Narmanli, Gilles Schaeffer:
Enumeration of corner polyhedra and 3-connected Schnyder labelings. - Andreas Groll, Carsten Wasserfuhr, Leonid Zeldin:
Churn modeling of life insurance policies via statistical and machine learning methods - Analysis of important features. - Humberto Reyes-González, Riccardo Torre:
Testing the boundaries: Normalizing Flows for higher dimensional data sets. - Pierre Aboulker, Guillaume Aubian, Raphael Steiner:
Heroes in orientations of chordal graphs. - Niel de Beaudrap, Aleks Kissinger, John van de Wetering:
Circuit Extraction for ZX-diagrams can be #P-hard. - Matías Altamirano, Felipe A. Tobar:
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures. - Özlem Tugfe Demir, Meysam Masoudi, Emil Björnson, Cicek Cavdar:
Cell-Free Massive MIMO in Virtualized CRAN: How to Minimize the Total Network Power? - Jörg Sander, Bob D. de Vos, Ivana Isgum:
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI. - Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds. - Giulio Ortali, Alessandro Corbetta, Gianluigi Rozza, Federico Toschi:
Towards a Numerical Proof of Turbulence Closure. - Toygun Basaklar, Yigit Tuncel, Ümit Y. Ogras:
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices. - Steven Heilman, Alex Tarter:
Dimension-Free Noninteractive Simulation from Gaussian Sources. - Majdi I. Radaideh, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau:
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. - Gurjeet Singh:
Machine Learning Models in Stock Market Prediction. - Laura A. Albert:
A mixed-integer programming model for identifying intuitive ambulance dispatching policies. - Marc Aurèle Gilles, Amit Singer:
A Molecular Prior Distribution for Bayesian Inference Based on Wilson Statistics. - Tacildo de Souza Araújo, Douglas Soares Gonçalves, Cristiano Torezzan:
A two-phase rank-based Soft-Impute algorithm for low-rank matrix completion. - Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey:
Gradient Estimation with Discrete Stein Operators. - Yehui Tang, Junchi Yan, Edwin R. Hancock:
From Quantum Graph Computing to Quantum Graph Learning: A Survey. - Gengxin Xu, Chuan-Xian Ren:
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss. - Alexander Johnson, Ruchao Fan, Robin Morris, Abeer Alwan:
LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects. - Alexander Johnson, Alejandra Martin, Marlen Quintero, Alison L. Bailey, Abeer Alwan:
Can Social Robots Effectively Elicit Curiosity in STEM Topics from K-1 Students During Oral Assessments? - Adam M. Boyce, Emilio Martínez-Pañeda, Aaron Wade, Ye Shui Zhang, Josh J. Bailey, Thomas M. M. Heenan, Dan J. L. Brett, Paul R. Shearing:
Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling. - Chang Sun, Ken Deng, Yitong Liu, Hongwen Yang:
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction. - Nanda K. Unnikrishnan, Keshab K. Parhi:
Multi-Channel FFT Architectures Designed via Folding and Interleaving. - Gokcan Tatli, Alper T. Erdogan:
Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability. - Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Truncated Diffusion Probabilistic Models. - Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou:
A Regularized Implicit Policy for Offline Reinforcement Learning. - Ruichen Jiang, Aryan Mokhtari:
Generalized Optimistic Methods for Convex-Concave Saddle Point Problems. - Bugra Can, Mert Gürbüzbalaban, Necdet Serhat Aybat:
A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm. - (Withdrawn) A Quantum Polynomial-Time Solution to The Dihedral Hidden Subgroup Problem.
- John T. Nardini, Charles W. J. Pugh, Helen M. Byrne:
Statistical and Topological Summaries Aid Disease Detection for Segmented Retinal Vascular Images. - Xianli Zeng, Edgar Dobriban, Guang Cheng:
Bayes-Optimal Classifiers under Group Fairness. - Iman Nodozi, Abhishek Halder:
Schrödinger Meets Kuramoto via Feynman-Kac: Minimum Effort Distribution Steering for Noisy Nonuniform Kuramoto Oscillators. - Baoliang Chen, Lingyu Zhu, Hanwei Zhu, Wenhan Yang, Fangbo Lu, Shiqi Wang:
The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement. - Chitra R. Karanam, Yasamin Mostofi:
A Foundation for Wireless Channel Prediction and Full Ray Makeup Estimation Using an Unmanned Vehicle. - Hongjia Chen, Fangling Pu, Rui Yang, Rui Tang, Xin Xu:
RDP-Net: Region Detail Preserving Network for Change Detection. - Van Dung Nguyen, Nguyen The Vinh:
A Tseng type stochastic forward-backward algorithm for monotone inclusions. - Shaheer U. Saeed, Wen Yan, Yunguan Fu, Francesco Giganti, Qianye Yang, Zachary M. C. Baum, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Mark Emberton, Dean C. Barratt, Yipeng Hu:
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation. - Jingwang Li, Housheng Su:
Gradient Tracking: A Unified Approach to Smooth Distributed Optimization. - Mingyuan Jiu, Nelly Pustelnik:
Alternative design of DeepPDNet in the context of image restoration. - Wessam M. Salama, Ahmed Shokry:
A Novel Framework for Brain Tumor Detection Based on Convolutional Variational Generative Models. - Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang:
Interacting Contour Stochastic Gradient Langevin Dynamics. - Matthew J. Vowels:
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables. - Rick K. Acosta-Vega, Encarnación Algaba, Joaquín Sánchez-Soriano:
On proportionality in multi-issue problems with crossed claims. - William Boyles:
Resolution to Sutner's Conjecture. - Chen Cheng, John C. Duchi, Rohith Kuditipudi:
Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression. - Lisa Reuter, Jordan Mansell, Carter Rhea, Andrea Kiesel:
Direct assessment of individual connotation and experience: An introduction to cognitive-affective mapping. - Antonio R. Linero:
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy. - Jun Liu, Haitao Zhao, Dongtang Ma, Kai Mei, Jibo Wei:
Theoretical Analysis of Deep Neural Networks in Physical Layer Communication. - Qiufan Lin, Dominique Fouchez, J. Pasquet, M. Treyer, R. Ait Ouahmed, Stéphane Arnouts, Olivier Ilbert:
Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods. - John Taylor, Ming Feng:
A Deep Learning Model for Forecasting Global Monthly Mean Sea Surface Temperature Anomalies. - Devika Kuttala, Venkata Ramana Murthy Oruganti, Dwarikanath Mahapatra, Ramanathan Subramanian:
Outlier-based Autism Detection using Longitudinal Structural MRI. - Meng Ge, Chenglin Xu, Longbiao Wang, Eng Siong Chng, Jianwu Dang, Haizhou Li:
L-SpEx: Localized Target Speaker Extraction. - Jingdong Li, Yuanyuan Zhu, Dawei Luo, Yun Liu, Guohui Cui, Zhaoxia Li:
The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO convolutional recurrent Network for Multi Channel Speech Enhancement and Speech Recognition. - Leonardo Cella, Karim Lounici, Massimiliano Pontil:
Multi-task Representation Learning with Stochastic Linear Bandits. - Anton Arnold, Sjoerd Geevers, Ilaria Perugia, Dmitry Ponomarev:
On the limiting amplitude principle for the wave equation with variable coefficients. - Hang Zhao, Chen Zhang, Belei Zhu, Zejun Ma, Kejun Zhang:
S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification. - Mohammad Bokaei, Saeed Razavikia, Arash Amini, Stefano Rini:
Two-snapshot DOA Estimation via Hankel-structured Matrix Completion. - Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images. - Mark Kelly, Harry Dunne, Gilles Bourque, Stephen Dooley:
Low-Dimensional High-Fidelity Kinetic Models for NOX Formation by a Compute Intensification Method. - Giuseppe Di Molfetta, Victor Deng:
Geodesic Quantum Walks. - Sascha Ranftl, Malte Rolf-Pissarczyk, Gloria Wolkerstorfer, Antonio Pepe, Jan Egger, Wolfgang von der Linden, Gerhard A. Holzapfel:
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate. - Yu-Chen Shen, Li Gao, Hao-Chung Cheng:
Strong Converse for Privacy Amplification against Quantum Side Information. - Mengzhe Geng, Xurong Xie, Zi Ye, Tianzi Wang, Guinan Li, Shujie Hu, Xunying Liu, Helen Meng:
Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition. - Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno S. Masiero, Aurelio Uncini, Danilo Comminiello:
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. - Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe:
Same Cause; Different Effects in the Brain. - Debasis Mishra, Kolagani Paramahamsa:
Selling to a principal and a budget-constrained agent. - Freya Behrens, Gabriel Arpino, Yaroslav Kivva, Lenka Zdeborová:
(Dis)assortative Partitions on Random Regular Graphs. - JayaChandra Raju, Subha Gayatri Kompella, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, Mohanasankar Sivaprakasam:
MIST GAN: Modality Imputation Using Style Transfer for MRI. - Tahsinur Rahman Talukdar, Mohammad Jaber Hossain, Tahmid H. Talukdar:
Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection. - Jack Y. Araz, Michael Spannowsky:
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data. - Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Accelerating Primal-dual Methods for Regularized Markov Decision Processes. - Renee Mirka, Devin Smedira, David P. Williamson:
Graph Coloring and Semidefinite Rank. - Mario Esparza:
Spanish and English Phoneme Recognition by Training on Simulated Classroom Audio Recordings of Collaborative Learning Environments. - Yujiao Hao, Boyu Wang, Rong Zheng:
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator. - Ankita Paul, Md Abu Saleh Tajin, Anup Das, William M. Mongan, Kapil R. Dandekar:
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants. - Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann:
Deep Iterative Phase Retrieval for Ptychography. - Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu:
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. - Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song:
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. - Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas:
VADOI: Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition. - Yingqian Wang, Longguang Wang, Gaochang Wu, Jun-Gang Yang, Wei An, Jingyi Yu, Yulan Guo:
Disentangling Light Fields for Super-Resolution and Disparity Estimation. - Alexander Terenin:
Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces. - Xu Cai, Chi Thanh Lam, Jonathan Scarlett:
Order-Optimal Error Bounds for Noisy Kernel-Based Bayesian Quadrature. - Alexander Immer, Tycho F. A. van der Ouderaa, Vincent Fortuin, Gunnar Rätsch, Mark van der Wilk:
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations. - T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra:
On Local Distributions in Graph Signal Processing. - Jungtaek Kim, Seungjin Choi:
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. - Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li:
Connecting Optimization and Generalization via Gradient Flow Path Length. - Xin Zhang, Minho Jin, Roger Cheng, Ruirui Li, Eunjung Han, Andreas Stolcke:
Contrastive-mixup learning for improved speaker verification. - Suvidha Tripathi, Satish Kumar Singh:
An Object Aware Hybrid U-Net for Breast Tumour Annotation. - Christoph Hirche, Cambyse Rouzé, Daniel Stilck França:
Quantum Differential Privacy: An Information Theory Perspective. - Simon Göppel, Jürgen Frikel, Markus Haltmeier:
Feature reconstruction from incomplete tomographic data without detour. - Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer:
CD-ROM: Complementary Deep-Reduced Order Model. - Syu-Siang Wang, Chi-Te Wang, Chih-Chung Lai, Yu Tsao, Shih-Hau Fang:
Continuous Speech for Improved Learning Pathological Voice Disorders. - Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus:
Stochastic Causal Programming for Bounding Treatment Effects. - Ujjwal Koley, Guy Vallet:
On the rate of convergence of a numerical scheme for fractional conservation laws with noise. - Kedeng Tong, Xin Jin, Chen Wang, Fan Jiang:
SADN: Learned Light Field Image Compression with Spatial-Angular Decorrelation. - Francisca Vasconcelos, Bobby He, Nalini M. Singh, Yee Whye Teh:
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography. - Jinjiang Guo, Qi Liu, Han Guo, Xi Lu:
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation. - Junqi Tang:
Data-Consistent Local Superresolution for Medical Imaging. - Christian Biefel, Martina Kuchlbauer, Frauke Liers, Lisa Waldmüller:
Robust static and dynamic maximum flows. - Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. - Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu:
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. - Mattia Corti, Alberto Zingaro, Luca Dedè, Alfio Maria Quarteroni:
Impact of Atrial Fibrillation on Left Atrium Haemodynamics: A Computational Fluid Dynamics Study. - Laurens Sluijterman, Eric Cator, Tom Heskes:
Confident Neural Network Regression with Bootstrapped Deep Ensembles. - Abolfazl Ramezanpour:
Quantum walk in a reinforced free-energy landscape: Quantum annealing with reinforcement. - Zhijun Zeng, Zhen Hou, Ting Li, Lei Deng, Jianguo Hou, Xinran Huang, Jun Li, Meirou Sun, Yunhan Wang, Qiyu Wu, Wenhao Zheng, Hua Jiang, Qi Wang:
A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients. - Aixiang Chen, Jinting Zhang, Zanbo Zhang, Zhihong Li:
MSTGD: A Memory Stochastic sTratified Gradient Descent Method with an Exponential Convergence Rate. - Mauro Faccin, Floriana Gargiulo, Laëtitia Atlani-Duault, Jeremy K. Ward:
Assessing the influence of French vaccine critics during the two first years of the COVID-19 pandemic. - Mark Turner, Thorsten Koch, Felipe Serrano, Michael Winkler:
Adaptive Cut Selection in Mixed-Integer Linear Programming. - Joran van Apeldoorn, Tijn de Vos:
A Framework for Distributed Quantum Queries in the CONGEST Model. - Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. - Gustavo Teodoro Döhler Beck, Ulme Wennberg, Zofia Malisz, Gustav Eje Henter:
Wavebender GAN: An architecture for phonetically meaningful speech manipulation. - Richard Preston:
Applying Grover's Algorithm to Hash Functions: A Software Perspective. - Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita:
An accelerated proximal gradient method for multiobjective optimization. - Hao-Chung Cheng, Li Gao:
Error Exponent and Strong Converse for Quantum Soft Covering. - Tor Lattimore:
Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini's Regret. - Behnoush Sanaei, Reza Faghihi, Hossein Arabi:
Does prior knowledge in the form of multiple low-dose PET images (at different dose levels) improve standard-dose PET prediction? - Fengshi Niu, Harsha Nori, Brian Quistorff, Rich Caruana, Donald Ngwe, Aadharsh Kannan:
Differentially Private Estimation of Heterogeneous Causal Effects. - Teague Tomesh, Pranav Gokhale, Victory Omole, Gokul Subramanian Ravi, Kaitlin N. Smith, Joshua Viszlai, Xin-Chuan Wu, Nikos Hardavellas, Margaret Martonosi, Frederic T. Chong:
SupermarQ: A Scalable Quantum Benchmark Suite. - Matthew M. Dunlop, Georg Stadler:
A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems. - Robert Salzmann, Nilanjana Datta:
Total insecurity of communication via strong converse for quantum privacy amplification. - Yuki Yasuda:
Roto-Translation Equivariant Super-Resolution of Two-Dimensional Flows Using Convolutional Neural Networks. - Sven Krippendorf, Michael Spannowsky:
A duality connecting neural network and cosmological dynamics. - Kaan Gökcesu, Hakan Gökcesu:
Nonconvex Extension of Generalized Huber Loss for Robust Learning and Pseudo-Mode Statistics. - Pradnya Khalate, Xin-Chuan Wu, Shavindra P. Premaratne, Justin Hogaboam, Adam Holmes, Albert T. Schmitz, Gian Giacomo Guerreschi, Xiang Zou, Anne Y. Matsuura:
An LLVM-based C++ Compiler Toolchain for Variational Hybrid Quantum-Classical Algorithms and Quantum Accelerators. - Dushyant Sahoo, Mathilde Antoniades, Cynthia H. Y. Fu, Christos Davatzikos:
Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study. - Tatiana Tatarenko, Maryam Kamgarpour:
On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games. - Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi:
Parallel MCMC Without Embarrassing Failures. - Jean-Marc Valin, Umut Isik, Paris Smaragdis, Arvindh Krishnaswamy:
Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet. - Orchisama Das, Jonathan S. Abel:
Modal Estimation on a Warped Frequency Axis for Linear System Modeling. - Chendong Zhao, Jianzong Wang, Xiaoyang Qu, Haoqian Wang, Jing Xiao:
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation. - Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Minseok Choi, Soyi Jung, Joongheon Kim:
Quantum Heterogeneous Distributed Deep Learning Architectures: Models, Discussions, and Applications. - Aaron K. Baughman, Kavitha Yogaraj, Raja Hebbar, Sudeep Ghosh, Rukhsan Ul Haq, Yoshika Chhabra:
Study of Feature Importance for Quantum Machine Learning Models. - Harshit S. Parmar, Brian Nutter, L. Rodney Long, Sameer K. Antani, Sunanda Mitra:
Functional Parcellation of fMRI data using multistage k-means clustering. - Andy Eskenazi, Landon Butler, Arnav P. Joshi, Megan Smirti Ryerson:
Democratizing Aviation Emissions Estimation: Development of an Open-Source, Data-Driven Methodology. - Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar:
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. - Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo:
A Bayesian Deep Learning Approach to Near-Term Climate Prediction. - Wuchen Li, Siting Liu, Stanley J. Osher:
Controlling conservation laws II: compressible Navier-Stokes equations. - Andrei A. Klishin, Danielle S. Bassett:
Exposure theory for learning complex networks with random walks. - Iasson Karafyllis, Pierdomenico Pepe, Antoine Chaillet, Yuan Wang:
Is Global Asymptotic Stability Necessarily Uniform for Time-Delay Systems? - Krishna Subramani, Jean-Marc Valin, Umut Isik, Paris Smaragdis, Arvindh Krishnaswamy:
End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation. - Jun Lu:
Exploring Classic Quantitative Strategies. - Hua Shen, Yuguang Yang, Guoli Sun, Ryan Langman, Eunjung Han, Jasha Droppo, Andreas Stolcke:
Improving fairness in speaker verification via Group-adapted Fusion Network. - Ping Zhan:
Sign representation of single-peaked preferences and Bruhat orders. - Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman:
Mixed-Block Neural Architecture Search for Medical Image Segmentation. - Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius:
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition. - Shuang Wu, Chi-Hua Wang, Yuantong Li, Guang Cheng:
Residual Bootstrap Exploration for Stochastic Linear Bandit. - Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso:
Augmentation based unsupervised domain adaptation. - Regine Hartwig, Daniel Ostler, Jean-Claude Rosenthal, Hubertus Feußner, Dirk Wilhelm, Dirk Wollherr:
MITI: SLAM Benchmark for Laparoscopic Surgery. - Lucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya:
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups. - Boris Ferdman, Alon Saguy, Onit Alalouf, Yoav Shechtman:
Diffractive optical system design by cascaded propagation. - Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Robust Geometric Metric Learning. - William Pettersson, John Sylvester:
Bounds on the Twin-Width of Product Graphs. - Joel Dyer, Patrick Cannon, Sebastian M. Schmon:
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation. - Yu-Chen Shen, Li Gao, Hao-Chung Cheng:
Optimal Second-Order Rates for Quantum Soft Covering and Privacy Amplification. - Barnaby Martin, Daniël Paulusma, Siani Smith, Erik Jan van Leeuwen:
Induced Disjoint Paths and Connected Subgraphs for H-Free Graphs. - Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai:
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence. - Fred Espen Benth, Nils Detering, Luca Galimberti:
Pricing options on flow forwards by neural networks in Hilbert space. - Jean-Luc Baril, Sergey Kirgizov, Armen Petrossian:
Dyck paths with catastrophes modulo the positions of a given pattern. - Nuri Mert Vural, Lu Yu, Krishnakumar Balasubramanian, Stanislav Volgushev, Murat A. Erdogdu:
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance. - Günther Koliander, Yousef El-Laham, Petar M. Djuric, Franz Hlawatsch:
Fusion of Probability Density Functions. - Carolina Benedetti, Kolja Knauer:
Lattice path matroids and quotients. - Maximilian Gorsky, Raphael Steiner, Sebastian Wiederrecht:
Matching Theory and Barnette's Conjecture. - Felipe Igea, Alice Cicirello:
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation. - Jack Umenberger, Max Simchowitz, Juan C. Perdomo, Kaiqing Zhang, Russ Tedrake:
Globally Convergent Policy Search over Dynamic Filters for Output Estimation. - Fabio Pino, Lorenzo Schena, Jean Rabault, Alexander Kuhnle, Miguel A. Mendez:
Comparative analysis of machine learning methods for active flow control. - Christoph Hirche, Felix Leditzky:
Bounding quantum capacities via partial orders and complementarity. - Daniel Taylor, Jonathan P. Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder:
Brain Structural Saliency Over The Ages. - Alejandro Güemes, Carlos Sanmiguel Vila, Stefano Discetti:
Super-resolution GANs of randomly-seeded fields. - Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban:
Flow-based sampling in the lattice Schwinger model at criticality. - Steve Abel, Juan Carlos Criado, Michael Spannowsky:
Completely Quantum Neural Networks. - Sayantan Auddy, Ramit Dey, Min-Kai Lin, Daniel Carrera, Jacob B. Simon:
Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks. - Yanglei Song, Meng zhou:
Truncated LinUCB for Stochastic Linear Bandits. - Raju Hazari, Parimal Pal Chaudhuri:
Analysis of Coronavirus Envelope Protein with Cellular Automata (CA) Model. - Bahattin Can Maral:
Single Image Super-Resolution Methods: A Survey. - Philipp Götz, Cagdas Tuna, Andreas Walther, Emanuël A. P. Habets:
Blind Reverberation Time Estimation in Dynamic Acoustic Conditions. - Sergey Dolgov, Dante Kalise, Luca Saluzzi:
Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control. - Satoshi Kondo, Satoshi Kasai:
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks. - Yue Xing, Qifan Song, Guang Cheng:
Benefit of Interpolation in Nearest Neighbor Algorithms. - Édouard Bonnet, O-joung Kwon, David R. Wood:
Reduced bandwidth: a qualitative strengthening of twin-width in minor-closed classes (and beyond). - Bin Dong:
A Note on Machine Learning Approach for Computational Imaging. - Zengfu Hou, Siyuan Cheng, Ting Hu:
A spectral-spatial fusion anomaly detection method for hyperspectral imagery. - Bernadett Stadler, Ronny Ramlau:
Performance of an iterative wavelet reconstructor for the Multi-conjugate Adaptive Optics RelaY of ESO's ELT. - Miloslav Torda, John Yannis Goulermas, Roland Púcek, Vitaliy Kurlin:
Entropic trust region for densest crystallographic symmetry group packings. - Vincent Grari, Arthur Charpentier, Sylvain Lamprier, Marcin Detyniecki:
A fair pricing model via adversarial learning. - Daniel Gratzer, Michael Shulman, Jonathan Sterling:
Strict universes for Grothendieck topoi. - Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Bowen Zhao:
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. - Constantin Ickstadt, Thorsten Theobald, Elias P. Tsigaridas:
Semidefinite games. - Hugo A. Akitaya, Maarten Löffler, Giovanni Viglietta:
Pushing Blocks by Sweeping Lines. - Nicolò Gozzi, Niccolò Comini, Nicola Perra:
The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 Pandemic in Colombia, Ecuador, and El Salvador. - Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten:
Data variation-aware medical image segmentation. - Yibo Wang, Wen Qian, Xuming Zhang:
A Transformer-based Network for Deformable Medical Image Registration. - Pedro Hack, Daniel A. Braun, Sebastian Gottwald:
Classification of preordered spaces in terms of monotones - Filling in the gaps. - Daniel Rudolf, Björn Sprungk:
Robust random walk-like Metropolis-Hastings algorithms for concentrating posteriors. - Faeze Gholamiankhah, Samaneh Mostafapour, Seyedjafar Shojaerazavi, Nouraddin Abdi Goushbolagh, Hossein Arabi:
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification. - Naoya Ozaki, Stefano Campagnola, Ryu Funase:
Tube Stochastic Optimal Control for Nonlinear Constrained Trajectory Optimization Problems. - Quan Wang, Yang Yu, Jason Pelecanos, Yiling Huang, Ignacio López-Moreno:
Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech. - Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ian McGraw:
Closing the Gap between Single-User and Multi-User VoiceFilter-Lite. - Hemlata Tak, Massimiliano Todisco, Xin Wang, Jee-weon Jung, Junichi Yamagishi, Nicholas W. D. Evans:
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation. - Tara V. Anand, Adèle H. Ribeiro, Jin Tian, Elias Bareinboim:
Effect Identification in Cluster Causal Diagrams. - Jizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Yibo Sun, Ying Li:
Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data. - Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini:
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images. - Matthew Ashman, Thang D. Bui, Cuong V. Nguyen, Efstratios Markou, Adrian Weller, Siddharth Swaroop, Richard E. Turner:
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning. - Julien Grand-Clément, Christian Kroer:
Solving optimization problems with Blackwell approachability. - Dan Levin, Luyao Zhang:
Bridging Level-K to Nash Equilibrium. - Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel:
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. - Maksim Velikanov, Roman Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky:
Embedded Ensembles: Infinite Width Limit and Operating Regimes. - Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe:
Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge. - Stéphanie M. C. Abo, José A. Carrillo, Anita T. Layton:
Can the clocks tick together despite the noise? Stochastic simulations and analysis. - Yunzheng Zhu, Ruchao Fan, Abeer Alwan:
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition. - Atharva Karwande, Pranesh Kulkarni, Tejas Kolhe, Akshay Joshi, Soham Kamble:
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network. - Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon:
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. - Feras A. Saad, Marco F. Cusumano-Towner, Vikash K. Mansinghka:
Estimators of Entropy and Information via Inference in Probabilistic Models. - Bokun Wang, Tianbao Yang:
Finite-Sum Compositional Stochastic Optimization: Theory and Applications. - Naroa Coretti Sánchez, Luis Alonso Pastor, Kent Larson:
Can autonomy make bicycle-sharing systems more sustainable? Environmental impact analysis of an emerging mobility technology. - Cunzhi Zhao, Xingpeng Li:
Microgrid Day-Ahead Scheduling Considering Neural Network based Battery Degradation Model. - Tycho F. A. van der Ouderaa, Mark van der Wilk:
Learning Invariant Weights in Neural Networks. - Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh:
On Learning and Testing of Counterfactual Fairness through Data Preprocessing. - Kevin Wu Han, Han Wu:
Ensemble Method for Estimating Individualized Treatment Effects. - Chun-Yan Zhao, Yan-Rong Fu, Jin-Hua Zhao:
A residual-based message passing algorithm for constraint satisfaction problems. - Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Maureen Stone, Georges El Fakhri, Jonghye Woo:
Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement. - Shiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett:
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. - Wai Ho Chak, Naoki Saito:
Monogenic Wavelet Scattering Network for Texture Image Classification. - Jonathan H. A. de Carvalho, Fernando M. de Paula Neto:
Parametrized constant-depth quantum neuron. - Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Faithful learning with sure data for lung nodule diagnosis. - Jakub Balabán, Petr Hlinený, Jan Jedelský:
Twin-width and Transductions of Proper k-Mixed-Thin Graphs. - Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub:
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data. - Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud:
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. - Martino Borello, Wolfgang Willems, Giovanni Zini:
On ideals in group algebras: an uncertainty principle and the Schur product. - Gino Gulamhussene, Anneke Meyer, Marko Rak, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen:
Predicting 4D Liver MRI for MR-guided Interventions. - Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. - Vladimir Yankovskiy:
Isometry groups of regular and context-free languages for the Levenshtein distance. - Mohamed Shawki Elamir, Heinrich Gotzig, Raoul Zoellner, Patrick Maeder:
A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors. - Pedro J. Freire, Bernhard Spinnler, Daniel Abode, Jaroslaw E. Prilepsky, Abdallah A. I. Ali, Nelson Costa, Wolfgang Schairer, Antonio Napoli, Andrew D. Ellis, Sergei K. Turitsyn:
Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems. - Marcos Faúndez-Zanuy, Enric Monte-Moreno:
State-of-the-art in speaker recognition. - Jakob D. Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe:
Benchmarking Generative Latent Variable Models for Speech. - Evgenii Vityaev, Anton Kolonin, Artem Molchanov:
Brain Principles Programming. - Xueqi Guo, Sule Tinaz, Nicha C. Dvornek:
Early Disease Stage Characterization in Parkinson's Disease from Resting-state fMRI Data Using a Long Short-term Memory Network. - Jan Petr, Julien Portier, Leo Versteegen:
A note on Cops and Robbers, independence number, domination number and diameter. - Tobias Fissler, Christian Lorentzen, Michael Mayer:
Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice. - Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba:
High-Dimensional Sparse Bayesian Learning without Covariance Matrices. - Mauro Faccin:
Dynamical systems on directed hyper-graphs. - Xiangnan Feng, Alex Rutherford:
The Dynamic Resilience of Urban Labour Networks. - Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti:
Venture capital investments through the lens of network and functional data analysis. - Yassine Yaakoubi, Roussos G. Dimitrakopoulos:
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes. - Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar:
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. - Christian Fusaro, Mirko Trisolini, Camilla Colombo:
Interface between the long-term propagation and the destructive re-entry phases exploiting the overshoot boundary. - Welverton R. Silva, Fábio Luiz Usberti, Rafael C. S. Schouery:
On the complexity and modeling of the electric vehicle sharing problem. - Gokul Subramanian Ravi, Pranav Gokhale, Yi Ding, William M. Kirby, Kaitlin N. Smith, Jonathan M. Baker, Peter J. Love, Henry Hoffmann, Kenneth R. Brown, Frederic T. Chong:
CAFQA: Clifford Ansatz For Quantum Accuracy. - Katy Craig, Karthik Elamvazhuthi, Matt Haberland, Olga Turanova:
A blob method method for inhomogeneous diffusion with applications to multi-agent control and sampling. - Bhargava B. C., Ankush Deshmukh, A. V. Narasimhadhan:
Modulation and signal class labelling using active learning and classification using machine learning. - Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. - Han Yu, Akane Sano:
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild. - Ravikiran Parameshwara, Soujanya Narayana, Murugappan Murugappan, Ramanathan Subramanian, Ibrahim Radwan, Roland Goecke:
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals. - Bujar Raufi, Luca Longo:
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload. - Harish Haresamudram, Irfan Essa, Thomas Plötz:
Assessing the State of Self-Supervised Human Activity Recognition using Wearables. - Simiao Ren, Wei Hu, Kyle Bradbury, Dylan Harrison-Atlas, Laura Malaguzzi Valeri, Brian Murray, Jordan M. Malof:
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis. - Guilherme Ferrari Fortino, J. C. Zamora, L. E. Tamayose, N. S. T. Hirata, V. Guimaraes:
Digital Signal Analysis based on Convolutional Neural Networks for Active Target Time Projection Chambers. - Mohammad Younus Bhat, Aamir Hamid Dar, Didar Urynbassarova, Altyn Urynbassarova:
Quadratic phase wave packet transform. - Hanshi Sun, Ao Wang, Ninghao Pu, Zhiqing Li, Junguang Huang, Hao Liu, Zhi Qi:
Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization. - Fereshteh Shahmiri, Steven Schwartz, Can F. Usanmaz:
A Therapeutic Stress Ball to Monitor Hand Dexterity and Electrodermal Activity. - Tao Xu, Wang Dang, Jiabao Wang, Yun Zhou:
DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition. - Yimu Wang, Kun Yu, Yan Wang, Hui Xue:
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition. - Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk:
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - Mario Alejandro García, Ana Lorena Rosset:
Deep Neural Network for Automatic Assessment of Dysphonia. - Matthieu Terris, Arwa Dabbech, Chao Tang, Yves Wiaux:
Image reconstruction algorithms in radio interferometry: from handcrafted to learned denoisers. - Tristram Bogart, Juan Andrés Valero:
Bounds on Determinantal Complexity of Two Types of Generalized Permanents. - Milan Holec, Ben Zhu, Ilon Joseph, Christopher J. Vogl, Ben S. Southworth, Alejandro Campos, Andris M. Dimits, Will E. Pazner:
Arbitrary Order Energy and Enstrophy Conserving Finite Element Methods for 2D Incompressible Fluid Dynamics and Drift-Reduced Magnetohydrodynamics. - Deniz Koyuncu, Bülent Yener:
Missing Value Knockoffs. - Takashi Furuya, Hiroyuki Kusumoto, Koichi Taniguchi, Naoya Kanno, Kazuma Suetake:
Variational Inference with Gaussian Mixture by Entropy Approximation. - Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Revisiting Over-Smoothness in Text to Speech. - Maurizio Grasselli, Nicola Parolini, Andrea Poiatti, Marco Verani:
Non-isothermal non-Newtonian fluids: the stationary case. - Minji Lee, Inyong Koo, Kangwook Ko, Changick Kim:
Multi-image Super-resolution via Quality Map Associated Temporal Attention Network. - Parfait Atchade-Adelomou:
Quantum Algorithms for solving Hard Constrained Optimisation Problems. - Sandeep Pandey, Philipp Teutsch, Patrick Mäder, Jörg Schumacher:
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection. - Jonathan Weinberger:
A Synthetic Perspective on (∞, 1)-Category Theory: Fibrational and Semantic Aspects. - Junren Chen, Cheng-Long Wang, Michael K. Ng, Di Wang:
High Dimensional Statistical Estimation under One-bit Quantization. - Sébastien Martin:
A Feasibility Study on Real-Time High Resolution Imaging of the Brain Using Electrical Impedance Tomography. - Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song:
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. - Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. - Jinglin Liu, Chengxi Li, Yi Ren, Zhiying Zhu, Zhou Zhao:
Learning the Beauty in Songs: Neural Singing Voice Beautifier. - Harishchandra Dubey, Vishak Gopal, Ross Cutler, Ashkan Aazami, Sergiy Matusevych, Sebastian Braun, Sefik Emre Eskimez, Manthan Thakker, Takuya Yoshioka, Hannes Gamper, Robert Aichner:
ICASSP 2022 Deep Noise Suppression Challenge. - Ross Cutler, Ando Saabas, Tanel Pärnamaa, Marju Purin, Hannes Gamper, Sebastian Braun, Karsten Sørensen, Robert Aichner:
ICASSP 2022 Acoustic Echo Cancellation Challenge. - Nathan Wang, Petteri Haverinen:
Feasibility of Material Decomposition-based Photon-counting CT Thermometry. - Baijun Xie, Gary Milam, Bo Ning, Jaepyeong Cha, Chung Hyuk Park:
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification. - Pierre Aboulker, Guillaume Aubian, Pierre Charbit:
Heroes in oriented complete multipartite graphs. - Yulian Kuryliak, Michael Emmerich, Dmytro Dosyn:
Efficient Stochastic Simulation of Network Topology Effects on the Peak Number of Infections in Epidemic Outbreaks. - Kevin Church, Elena Queirolo:
Computer-assisted proofs of Hopf bubbles and degenerate Hopf bifurcations. - Han Zhang, Lok Ming Lui:
Topology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component. - Tobias K. S. Ritschel, Asbjørn Thode Reenberg, Emilie B. Lindkvist, Christian Laugesen, Jannet Svensson, Ajenthen G. Ranjan, Kirsten Nørgaard, Bernd Dammann, John Bagterp Jørgensen:
A one-size-fits-all artificial pancreas for people with type 1 diabetes based on physiological insight and feedback control. - Jordi Castellví, Marc Noy, Clément Requilé:
Enumeration of chordal planar graphs and maps. - Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang:
Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images. - Mee Seong Im, Mikhail Khovanov:
Topological theories and automata. - (Withdrawn) Federated Online Sparse Decision Making.
- Sakira Hassan, Simo Särkkä:
Fourier-Hermite Dynamic Programming for Optimal Control. - Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Conditional Simulation Using Diffusion Schrödinger Bridges. - Lin Qiu, Lynn Lin, Vernon M. Chinchilli:
Variational Interpretable Learning from Multi-view Data. - Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy:
Evaluating High-Order Predictive Distributions in Deep Learning. - Dayang Wang, Fenglei Fan, Zhan Wu, Rui Liu, Fei Wang, Hengyong Yu:
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising. - Benjamin Midtvedt, Jesús Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin K. Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt, Giovanni Volpe:
Single-shot self-supervised particle tracking. - Abhi Lad, Adithya Narayan, Hari Shankar, Shefali Jain, Pooja Punjani Vyas, Divya Singh, Nivedita Hegde, Jagruthi Atada, Jens Thang, Saw Shier Nee, Arunkumar Govindarajan, Roopa PS, Muralidhar V. Pai, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla:
Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation. - Jiachen Li, Chixin Wang, Banban Huang, Zekun Zhou:
ConvNeXt-backbone HoVerNet for nuclei segmentation and classification. - (Withdrawn) Using Multi-scale SwinTransformer-HTC with Data augmentation in CoNIC Challenge.
- Canh Hao Nguyen:
Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer? - Zong-Kai Liu, Li-Hua Zhang, Bang Liu, Zheng-Yuan Zhang, Guang-Can Guo, Dong-Sheng Ding, Baosen Shi:
Deep learning enhanced Rydberg multifrequency microwave recognition. - Anthony Leverrier, Gilles Zémor:
Quantum Tanner codes. - Abdulmalik Alwarafy, Bekir Sait Ciftler, Mohamed M. Abdallah, Mounir Hamdi, Naofal Al-Dhahir:
Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets. - Tal El-Hay, Chen Yanover:
Estimating Model Performance on External Samples from Their Limited Statistical Characteristics. - Hüseyin Kemâl Çakmak, Luc Janecke, Veit Hagenmeyer:
Automated generation of large-scale distribution grid models based on open data and open source software using an optimization approach. - Wanying Ge, Massimiliano Todisco, Nicholas W. D. Evans:
Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations. - James Haoyu Bai, Joseph Meleshko, Samin Riasat, Jeffrey O. Shallit:
Quotients of Palindromic and Antipalindromic Numbers. - Gaspard Beugnot, Julien Mairal, Alessandro Rudi:
On the Benefits of Large Learning Rates for Kernel Methods. - Jake Fawkes, Robin J. Evans, Dino Sejdinovic:
Selection, Ignorability and Challenges With Causal Fairness. - Themistoklis Botsas, Lachlan Robert Mason, Omar K. Matar, Indranil Pan:
Rule-based Evolutionary Bayesian Learning. - Bingchao Zhao, Jiatai Lin, Changhong Liang, Zongjian Yi, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Chu Han, Zaiyi Liu:
RestainNet: a self-supervised digital re-stainer for stain normalization. - Nikita Kuzmin, Igor Fedorov, Alexey Sholokhov:
Magnitude-aware Probabilistic Speaker Embeddings. - (Withdrawn) Improved bounds for acyclic coloring parameters.
- Jakob Zeitler, Ricardo Silva:
The Causal Marginal Polytope for Bounding Treatment Effects. - Rafael Rodrigues, Susana Quijano-Roy, Robert-Yves Carlier, António M. G. Pinheiro:
Severity classification in cases of Collagen VI-related myopathy with Convolutional Neural Networks and handcrafted texture features. - Paola Bonizzoni, Matteo Costantini, Clelia De Felice, Alessia Petescia, Yuri Pirola, Marco Previtali, Raffaella Rizzi, Jens Stoye, Rocco Zaccagnino, Rosalba Zizza:
Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches. - Asbjørn Thode Reenberg, Tobias K. S. Ritschel, Bernd Dammann, John Bagterp Jørgensen:
High-performance Uncertainty Quantification in Large-scale Virtual Clinical Trials of Closed-loop Diabetes Treatment. - Giulio Caldarelli:
Formalizing Oracle Trust Models for blockchain-based business applications. An example from the supply chain sector. - Nhat Thien Pham, Faicel Chamroukhi:
Functional mixture-of-experts for classification. - Asbjørn Thode Reenberg, Tobias K. S. Ritschel, Emilie B. Lindkvist, Christian Laugesen, Jannet Svensson, Ajenthen G. Ranjan, Kirsten Nørgaard, John Bagterp Jørgensen:
Nonlinear Model Predictive Control and System Identification for a Dual-hormone Artificial Pancreas. - Moritz Böhland, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Katharina Löffler, Tim Scherr:
ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. - Andre F. Ribeiro:
A Spatio-Causal Growth Model Explains the Pareto Principle. - Sergey Primakov, Elizaveta Lavrova, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin:
Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis. - Xiao Zhou, Xiaohu Zhang, Paolo Santi, Carlo Ratti:
Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic. - Devsi Bantva, Daphne Der-Fen Liu:
Radio Number for the Cartesian Product of Two Trees. - Magnus Wiese, Phillip Murray:
Risk-Neutral Market Simulation. - Jiayu Zhang:
Classical Verification of Quantum Computations in Linear Time. - Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu:
SUNet: Swin Transformer UNet for Image Denoising. - Y. Kharkov, A. Ivanova, E. Mikhantiev, A. Kotelnikov:
Arline Benchmarks: Automated Benchmarking Platform for Quantum Compilers. - Erick Boniface, Weixun Deng, J. Maurice Rojas:
Trinomials and Deterministic Complexity Limits for Real Solving. - Boxiao Shen, Yongpeng Wu, Jianping An, Chengwen Xing, Lian Zhao, Wenjun Zhang:
Random Access with Massive MIMO-OTFS in LEO Satellite Communications. - Florian Hörsch, Zoltán Szigeti:
On the complexity of finding well-balanced orientations with upper bounds on the out-degrees. - Ben Craps, Marine De Clerck, Oleg Evnin, Philip Hacker, Maxim Pavlov:
Bounds on quantum evolution complexity via lattice cryptography. - Aryan Roy, Jim Pivarski, Chad Wells Freer:
An array-oriented Python interface for FastJet. - Stephen Z. D. Plachta, Markus Hiekkamäki, Abuzer Yakaryilmaz, Robert Fickler:
Quantum advantage using high-dimensional twisted photons as quantum finite automata. - Roland Bauerschmidt, Benoit Dagallier:
Log-Sobolev inequality for near critical Ising models. - Andre Vauvelle, Hamish Tomlinson, Aaron Sim, Spiros C. Denaxas:
Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies. - Eugene Kogan:
The kinks, the solitons and the shocks in series connected discrete Josephson transmission lines. - Ian Benson, Jim Darby, Neil MacDonald, Jesse Sigal:
Conceptual Mathematics via Literate Programming.
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