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ORCIDCoRR, January 2022
- Danielle C. Maddix, Nadim Saad, Yuyang Wang:
Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow. - Sathyanarayanan Chandramouli, Aseel Farhat, Ziad Musslimani:
Time-Dependent Duhamel Renormalization method with Multiple Conservation and Dissipation Laws. - Mohamed M. S. Nasser, El Mostafa Kalmoun, Vladimir Mityushev, Natalia Rylko:
Simulating local fields in carbon nanotube reinforced composites for infinite strip with voids. - Ola Alkhatib, Ayman Diyab Alahmar:
A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches. - Liang Zhang, Qiang Wu, Jianming Deng:
Knowledge intensive state design for traffic signal control. - Hailin Zhang, Defang Chen
, Can Wang:
Confidence-Aware Multi-Teacher Knowledge Distillation. - Guanyao Li, Shuhan Zhong, Letian Xiang, S.-H. Gary Chan, Ruiyuan Li, Chih-Chieh Hung, Wen-Chih Peng:
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting. - Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan:
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI. - Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao:
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification. - Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert:
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. - Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. - Yuhang Jia, Ying Cui, Wuyang Jiang:
Device Activity Detection for Massive Grant-Free Access Under Frequency-Selective Rayleigh Fading. - Hongcheng Guo, Xingyu Lin, Jian Yang, Yi Zhuang, Jiaqi Bai, Tieqiao Zheng, Bo Zhang, Zhoujun Li:
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection. - Tobias Hofmann, Andy Oertel:
Fast ultrametric matrix-vector multiplication. - Paul Syverson:
Privacy-Protecting COVID-19 Exposure Notification Based on Cluster Events. - Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Stochastic convex optimization for provably efficient apprenticeship learning. - Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad:
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. - Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. - Chenghao Yang, Hongyuan Mei, Jason Eisner:
Transformer Embeddings of Irregularly Spaced Events and Their Participants. - Toby Godwin, Georgios Rizos, Alice Baird, Najla D. Al Futaisi, Vincent Brisse, Björn W. Schuller:
Evaluating Deep Music Generation Methods Using Data Augmentation. - Yangjun Ruan, Yann Dubois, Chris J. Maddison:
Optimal Representations for Covariate Shift. - Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. - Xinke Deng, Junyi Geng, Timothy Bretl, Yu Xiang, Dieter Fox:
iCaps: Iterative Category-level Object Pose and Shape Estimation. - Bogdan Alexandru Stoica, Swarup Kumar Sahoo, James R. Larus, Vikram S. Adve:
Statistical Program Slicing: a Hybrid Slicing Technique for Analyzing Deployed Software. - Samaa Gazzaz, Vishal Chakraborty, Faisal Nawab:
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems. - Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Stealth Data Injection Attacks with Sparsity Constraints. - Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré:
BARACK: Partially Supervised Group Robustness With Guarantees. - Ronald E. Robertson, Jon Green, Damian Ruck, Katya Ognyanova, Christo Wilson, David Lazer:
Engagement Outweighs Exposure to Partisan and Unreliable News within Google Search. - Vivek Subramanian, Dhanasekar Sundararaman:
How do lexical semantics affect translation? An empirical study. - Xiaotong Chen, Seyed Mehdi Iranmanesh, Kuo-Chin Lien:
PatchTrack: Multiple Object Tracking Using Frame Patches. - Zahra Ghadiri, Milad Ranjbar, Fakhteh Ghanbarnejad, Sadegh Raeisi:
Automated Fake News Detection using cross-checking with reliable sources. - Alex Sheng, Derek He:
Distributed Evolution Strategies Using TPUs for Meta-Learning. - Maksim Aizenshtein, Niklas Smal, Morgan McGuire:
Wavelet Transparency. - Siddharth Chandrasekaran, Jeffrey Matthew Reginald, Wei Wang, Ting Zhu:
Computer Vision Based Parking Optimization System. - Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Mohamed Sayeh:
SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images. - Yexin Duan, Junhua Zou, Xingyu Zhou, Wu Zhang, Jin Zhang, Zhisong Pan:
Adversarial Attack via Dual-Stage Network Erosion. - Muhammad Aitsam:
Differential Privacy Made Easy. - Di Wu, Tongxin Zhang, Yuan Zhong, Fanghua Jiang, Junfeng Li:
Analytical Shaping Method for Low-Thrust Rendezvous Trajectory Using Cubic Spline Functions. - Peiliang Huang, Junwei Han, De Cheng, Dingwen Zhang:
Robust Region Feature Synthesizer for Zero-Shot Object Detection. - Pengfei Wang, Changxing Ding, Zhiyin Shao, Zhibin Hong, Shengli Zhang, Dacheng Tao:
Quality-aware Part Models for Occluded Person Re-identification. - Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. - Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee:
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. - Thanh-Dat Nguyen, Thanh Le-Cong, ThanhVu H. Nguyen, Xuan-Bach Dinh Le, Quyet-Thang Huynh:
Toward the Analysis of Graph Neural Networks. - Thanh Le-Cong, Xuan-Bach Dinh Le, Quyet-Thang Huynh, Phi-Le Nguyen:
Usability and Aesthetics: Better Together for Automated Repair of Web Pages. - Duy-Hoa Ngo, Madonna Kemp, Donna Truran, Bevan Koopman, Alejandro Metke-Jimenez:
Semantic Search for Large Scale Clinical Ontologies. - Xiaoyu Zhao, Jun Li, Qinghua Guo:
A Relaxed Energy Function Based Analog Neural Network Approach to Target Localization in Distributed MIMO Radar. - Nahian Ibn Hasan:
Bird Species Classification And Acoustic Features Selection Based on Distributed Neural Network with Two Stage Windowing of Short-Term Features. - Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Bin Liang, Xueqian Wang, Bo Yuan:
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning. - Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc Anh Le, Thanh-Hung Nguyen, Phi Le Nguyen:
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss. - Zi-Yi Dou, Nanyun Peng:
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization. - Dongkun Han, Hejun Huang:
Sum-of-Squares Program and Safe Learning On Maximizing the Region of Attraction of Partially Unknown Systems. - Jiho Song, Seong-Hwan Hyun, Jong-Ho Lee, Jeongsik Choi, Seong-Cheol Kim:
Joint Vehicle Tracking and RSU Selection for V2I Communications with Extended Kalman Filter. - Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. - Luca Schumann, Trinh Viet Doan, Tanya Shreedhar, Ricky K. P. Mok, Vaibhav Bajpai:
Impact of Evolving Protocols and COVID-19 on Internet Traffic Shares. - Jun Lu:
Matrix Decomposition and Applications. - Xingjian Xu, Minghua Chen:
Discovery of subdiffusion problem with noisy data via deep learning. - Yuyang Chen, Kaiming Bi, Chih-Hang Wu, David Ben-Arieh, Ashesh Sinha:
High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series. - Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou:
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. - Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Few-Shot Meta Learning. - Georgios Symeonidis, Evangelos Nerantzis, Apostolos Kazakis, George A. Papakostas:
MLOps - Definitions, Tools and Challenges. - Haoxu Wang, Yan Jia, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li:
Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words. - Jian-wei Liu, Xi-hao Ding, Runkun Lu, Xionglin Luo:
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity. - Jian-wei Liu, Hao-jie Xie, Runkun Lu, Xionglin Luo:
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. - Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan:
Adaptive Image Inpainting. - S. Sinha, K. G. Bakshi:
Zero-Sum Two Person Perfect Information Semi-Markov Games: A Reduction. - Mohammadhossein Ghahramani, Mengchu Zhou, Anna Mölter, Francesco Pilla:
IoT-based Route Recommendation for an Intelligent Waste Management System. - Sanjiva Prasad, R. Madhukar Yerraguntla, Subodh Sharma:
Secure Information Flow Typing in LUSTRE. - Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. - Shanjun Zhang, Mingzhen Li, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian:
FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity. - Radostin Cholakov, Todor Kolev:
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling. - Goldwyn Millar, Michel Kulhandjian, Ayse Alaca, Saban Alaca, Claude D'Amours, Halim Yanikomeroglu:
Low-Density Spreading Design Based on an Algebraic Scheme for NOMA Systems. - Farshad Noravesh, Kristiaan Kerstens:
Some connections between higher moments portfolio optimization methods. - Yecheng Shao, Yongbin Jin, Xianwei Liu, Weiyan He, Hongtao Wang, Wei Yang:
Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller. - Yunpu Zhao:
AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection. - Dani Kiyasseh, Rasheed El-Bouri:
Turath-150K: Image Database of Arab Heritage. - Ilaria Castellani, Mariangiola Dezani-Ciancaglini, Paola Giannini:
Event structure semantics for multiparty sessions. - Shunhua Jiang, Binghui Peng, Omri Weinstein:
Dynamic Least-Squares Regression. - Montassar Naghmouchi, Hella Kaffel, Maryline Laurent:
An automatized Identity and Access Management system for IoT combining Self-Sovereign Identity and smart contracts. - Enyan Dai, Wei Jin, Hui Liu, Suhang Wang:
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. - Davide Castelnovo, Fabio Gadducci, Marino Miculan:
A new criterion for M, N-adhesivity, with an application to hierarchical graphs. - Eason Li, Franc Brglez:
Asymptotic Experiments with Data Structures: Bipartite Graph Matchings and Covers. - Zhenduo Wang, Qingyao Ai:
Simulating and Modeling the Risk of Conversational Search. - Ziyang Tang, Yihao Feng, Qiang Liu:
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning. - Thuy T. Do, Du Nguyen, Anh Le, Anh Nguyen, Dong Nguyen, Nga Hoang, Uyen Le, Tuan Tran:
Understanding Public Opinion on Using Hydroxychloroquine for COVID-19 Treatment via Social Media. - Dominik Bauer, Timothy Patten, Markus Vincze:
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. - François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu:
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. - Martin Törngren, Haydn Thompson, Erik Herzog, Rafia Inam, James Gross, György Dán:
Industrial Edge-based Cyber-Physical Systems - Application Needs and Concerns for Realization. - Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang:
Transfer RL across Observation Feature Spaces via Model-Based Regularization. - Gregor Dumphart, Johannes Sager, Armin Wittneben:
The Channel Capacity of General Complex-Valued Load Modulation for Backscatter Communication. - Nicholas LaBerge, Kenneth Hunter Wapman, Allison C. Morgan, Sam Zhang, Daniel B. Larremore, Aaron Clauset:
Subfield prestige and gender inequality in computing. - Nicholas Dyson, Benedikt Ahrens, Jacopo Emmenegger:
The solutions to single-variable polynomials, implemented and verified in Lean. - Yipeng Li, Xiangmin Jiao:
ARPIST: Provably Accurate and Stable Numerical Integration over Spherical Triangles. - Oana Marin, Christopher J. Geoga, Michel Schanen:
On automatic differentiation for the Matérn covariance. - Sharp Chim Yui Lo:
Estimating Discretization Error with Preset Orders of Accuracy and Fractional Refinement Ratios. - Rayson Laroca, Everton V. Cardoso, Diego Rafael Lucio, Valter Estevam, David Menotti:
On the Cross-dataset Generalization in License Plate Recognition. - Anders Aaen Springborg, Martin Kaldahl Andersen, Kaare Holland Hattel, Michele Albano:
Towards a secure API client generator for IoT devices. - Raul Astudillo, Peter I. Frazier:
Thinking inside the box: A tutorial on grey-box Bayesian optimization. - Balsam Alkouz, Babar Shahzaad, Athman Bouguettaya:
Service-Based Drone Delivery. - Kazufumi Ito, Ying Liang, Jun Zou:
Least-Squares Method for Inverse Medium Problems. - Okezue Bell:
Applications of Gaussian Mutation for Self Adaptation in Evolutionary Genetic Algorithms. - Arun Raman, Keerthan Shagrithaya, Shalabh Bhatnagar:
Reinforcement Learning for Task Specifications with Action-Constraints. - Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: Learn from Small Data. - Luis Alarcón, Job Ledezma:
Develop of a Pneumatic Force Sensor Prototype. - Huan Gao, Yongqiang Wang:
Algorithm-Level Confidentiality for Average Consensus on Time-Varying Directed Graphs. - Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn:
Improving Out-of-Distribution Robustness via Selective Augmentation. - Prasang Gupta, Antoinette Young, Anand S. Rao:
Investigating Cargo Loss in Logistics Systems using Low-Cost Impact Sensors. - Mina Khan, Zeel Patel, Kathryn Wantlin, Elena L. Glassman, Pattie Maes:
Changing Computer-Usage Behaviours: What Users Want, Use, and Experience. - Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou:
Informed Multi-context Entity Alignment. - Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar:
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. - Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang:
Optimizing Machine Learning Inference Queries with Correlative Proxy Models. - Mikhail Moshkov:
Rough analysis of computation trees. - Michelle Kleckler, Adel M. Elmahdy, Soheil Mohajer:
Secure Determinant Codes for Distributed Storage Systems. - Aamir Miyajiwala, Arnav Ladkat, Samiksha Jagadale, Raviraj Joshi:
On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations. - Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap:
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network. - Kilian Wenker:
A Systematic Literature Review on Persuasive Technology at the Workplace. - Shaolun Ruan, Yong Wang, Qiang Guan:
Visilence: An Interactive Visualization Tool for Error Resilience Analysis. - Andrea Ebner, Markus Haltmeier:
Compressed Sensing of Indirect Data. - Han Cai, Moshe Schwartz:
A Bound on the Minimal Field Size of LRCs, and Cyclic MR Codes That Attain It. - Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di:
Detail-Preserving Transformer for Light Field Image Super-Resolution. - Hao Sun:
Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference. - Samuel Ackerman, Eitan Farchi, Orna Raz, Onn Shehory:
Experiment Based Crafting and Analyzing of Machine Learning Solutions. - João Pedro Rodrigues Mattos, Ricardo M. Marcacini:
Semi-Supervised Graph Attention Networks for Event Representation Learning. - Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Establishing Strong Baselines for TripClick Health Retrieval. - Yongchao Wang, Jing Bai:
Decoding Nonbinary LDPC Codes via Proximal-ADMM Approach (include convergence proofs). - Piotr Sowinski, Katarzyna Wasielewska-Michniewska, Maria Ganzha, Marcin Paprzycki:
Topical Classification of Food Safety Publications with a Knowledge Base. - João Morais, Kaushal Rathi, Bhuvaneshwar Mohan, Shantanu Rajesh:
Parkour Spot ID: Feature Matching in Satellite and Street view images using Deep Learning. - Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen:
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. - Yonghao Long, Jianfeng Cao, Anton Deguet, Russell H. Taylor, Qi Dou:
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario. - Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann:
Randomized Signature Layers for Signal Extraction in Time Series Data. - Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue:
Fast and High-Quality Image Denoising via Malleable Convolutions. - Christophe Bédard, Ingo Lütkebohle, Michel R. Dagenais:
ros2_tracing: Multipurpose Low-Overhead Framework for Real-Time Tracing of ROS 2. - Alireza Tofigh Rihani, Majid Ghandchi:
Increasing the Efficiency of Photovoltaic Systems by Using Maximum Power Point Tracking (MPPT). - Seth Pettie, Thatchaphol Saranurak, Longhui Yin:
Optimal Vertex Connectivity Oracles. - Sarah M. Pratt, Luca Weihs, Ali Farhadi:
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents. - Vladimir N. Temlyakov:
On universal sampling representation. - Abhishek Gupta, Sannidhi Shetty, Raunak Joshi, Ronald Melwin Laban:
Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis. - Barak Davidovich, Ben Nassi, Yuval Elovici:
VISAS - Detecting GPS spoofing attacks against drones by analyzing camera's video stream. - Narek Tumanyan, Omer Bar-Tal, Shai Bagon, Tali Dekel:
Splicing ViT Features for Semantic Appearance Transfer. - Lars Lien Ankile, Kjartan Krange:
The DONUT Approach to EnsembleCombination Forecasting. - Giacomo Paesani, Daniël Paulusma, Pawel Rzazewski:
Classifying Subset Feedback Vertex Set for H-Free Graphs. - Hanyuan Wang, Dima Damen, Majid Mirmehdi, Toby Perrett:
TVNet: Temporal Voting Network for Action Localization. - Shuyin Xia, Xinyu Bai, Guoyin Wang, Deyu Meng, Xinbo Gao, Zizhong Chen, Elisabeth Giem:
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation. - Ali Bou Nassif, Bassel Soudan, Mohammad Azzeh, Imtinan Basem Attilli, Omar AlMulla:
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review. - Didier Ndayikengurukiye, Max Mignotte:
Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint. - Guangming Zhu, Liang Zhang, Youliang Jiang, Yixuan Dang, Haoran Hou, Peiyi Shen, Mingtao Feng, Xia Zhao, Qiguang Miao, Syed Afaq Ali Shah, Mohammed Bennamoun:
Scene Graph Generation: A Comprehensive Survey. - Daniel Ahfock, William J. Astle, Sylvia Richardson:
On randomized sketching algorithms and the Tracy-Widom law. - Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. - Bejan Sadeghian:
Actor-Critic Network for Q&A in an Adversarial Environment. - Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu:
Exploring Motion and Appearance Information for Temporal Sentence Grounding. - Leonardo Queiroz, Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%. - Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, Danny Z. Chen, Honghao Gao, Jian Wu:
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation. - Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin:
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection. - Constantine J. Roros, Avinash C. Kak:
maskGRU: Tracking Small Objects in the Presence of Large Background Motions. - Ruiqi Wang, Weizheng Wang, Byung-Cheol Min:
Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation. - Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang:
Revisiting Open World Object Detection. - Deyu Kong, Xike Xie, Zhuoxu Zhang:
Clustering-based Partitioning for Large Web Graphs. - Ming Li:
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization. - Hisham A. Kholidy, Mohammad Ashiqur Rahman, Andrew Karam, Zahid Akhtar:
Secure Spectrum and Resource Sharing for 5G Networks using a Blockchain-based Decentralized Trusted Computing Platform. - Rakesh Kumar, Mehdi Alipour, David Black-Schaffer:
Freeway to Memory Level Parallelism in Slice-Out-of-Order Cores. - Kshitija Taywade, Brent Harrison, Judy Goldsmith:
Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand. - Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo:
Language as Queries for Referring Video Object Segmentation. - Zhaofeng Wu:
Learning with Latent Structures in Natural Language Processing: A Survey. - Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. - Oleg Kiselyov, Jeremy Yallop:
let (rec) insertion without Effects, Lights or Magic. - Junxiong Jia, Yanni Wu, Peijun Li, Deyu Meng:
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Centre Symmetric Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval. - Nathalie Revol:
Affine Iterations and Wrapping Effect: Various Approaches. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Cascaded Asymmetric Local Pattern: A Novel Descriptor for Unconstrained Facial Image Recognition and Retrieval. - Hao Guo, Jiyong Jin, Bin Liu:
Stochastic Weight Averaging Revisited. - Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
Vision Transformer with Deformable Attention. - Achiya Elyasaf, Eitan Farchi, Oded Margalit, Gera Weiss, Yeshayahu Weiss:
Combinatorial Sequence Testing Using Behavioral Programming and Generalized Coverage Criteria. - Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi:
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. - Zhaoyi Li, Hong-lin Liao:
Stability of variable-step BDF2 and BDF3 methods. - Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren:
Novelty-based Generalization Evaluation for Traffic Light Detection. - Christoph Koutschan:
Realizations of Rigid Graphs. 4-13 - Vesna Marinkovic, Tijana Sukilovic, Filip Maric:
On Automating Triangle Constructions in Absolute and Hyperbolic Geometry. 14-26 - Zhenbing Zeng, Jian Lu, Yaochen Xu, Yuzheng Wang:
Maximizing the Sum of the Distances between Four Points on the Unit Hemisphere. 27-40 - Tetsuo Ida, Hidekazu Takahashi:
A New Modeling of Classical Folds in Computational Origami. 41-53 - Jack Heimrath:
The Area Method in the Wolfram Language. 64-76 - Pascal Schreck, Nicolas Magaud, David Braun:
Mechanization of Incidence Projective Geometry in Higher Dimensions, a Combinatorial Approach. 77-90 - Predrag Janicic, Julien Narboux:
Automated Generation of Illustrations for Synthetic Geometry Proofs. 91-102 - Nicolas Magaud:
Spreads and Packings of PG(3, 2), Formally! 107-115 - Richard Schmoetten, Jake E. Palmer, Jacques D. Fleuriot:
Formalising Geometric Axioms for Minkowski Spacetime and Without-Loss-of-Generality Theorems. 116-128 - Philip H. Todd:
A Method for the Automated Discovery of Angle Theorems. 148-155 - Christopher W. Brown, Zoltán Kovács, Róbert Vajda:
Supporting Proving and Discovering Geometric Inequalities in GeoGebra by using Tarski. 156-166 - Archana Kumari, Stefan Schiffner, Sandra Schmitz:
SMART: a Technology Readiness Methodology in the Frame of the NIS Directive. - Yunhui Zeng, Zijun Liao, Yuanzhi Dai, Rong Wang, Xiu Li, Bo Yuan:
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism. - Antoine Amarilli, Louis Jachiet, Martin Muñoz, Cristian Riveros:
Efficient enumeration algorithms for annotated grammars. - Hamed Hellaoui, Ali Chelli, Miloud Bagaa, Tarik Taleb:
Efficient Steering Mechanism for Mobile Network-enabled UAVs. - Hao Yu, Tarik Taleb, Jiawei Zhang:
Deterministic Service Function Chaining over Beyond 5G Edge Fabric. - Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Rendi Chevi, Radityo Eko Prasojo, Alham Fikri Aji:
Which Student is Best? A Comprehensive Knowledge Distillation Exam for Task-Specific BERT Models. - Benjamin Hilprecht, Carsten Binnig:
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. - Dosti Kh. Abbas, Tarik A. Rashid, Karmand H. Abdallaand, Nebojsa Bacanin, Abeer Alsadoon:
Using Fitness Dependent Optimizer for Training Multi-layer Perceptron. - Kai Wang, Yu Liu, Quan Z. Sheng:
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Ant colonization processed algorithm for design of a toroidal shaped mobile 5G antenna. - Yongchao Dang, Chafika Benzaid, Bin Yang, Tarik Taleb:
Deep Learning for GPS Spoofing Detection in Cellular Enabled Unmanned Aerial Vehicle Systems. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Design of Differently shaped antenna by using Major Modifications in Design of copper annealed and FR4 junction. - Adrian Redder, Arunselvan Ramaswamy, Holger Karl:
Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. - Gesina Schwalbe, Christian Wirth, Ute Schmid:
Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Antenna parameterization for effectiveness in horn shaped antenna for 5G communication as future of Antennas. - Jonathan Prados-Garzon, Abdelquoddouss Laghrissi, Miloud Bagaa, Tarik Taleb:
A Queuing based Dynamic Auto Scaling Algorithm for the LTE EPC Control Plane. - Shah Nawaz, Jacopo Cavazza, Alessio Del Bue:
Semantically Grounded Visual Embeddings for Zero-Shot Learning. - Wolfgang Rampeltshammer, Arvid Q. L. Keemink, Menno Sytsma, Edwin van Asseldonk, Herman van der Kooij:
Evaluation and comparison of SEA torque controllers in a unified framework. - Amir Mojtahedi, Farid Sorouri, Alireza Najafi Souha, Aidin Molazadeh, Saeedeh Shafaei Mehr:
Feature Selection-based Intrusion Detection System Using Genetic Whale Optimization Algorithm and Sample-based Classification. - Václav Skala, Duc Huy Bui:
A New Algorithm for Pyramidal Clipping of Line Segments in E3. - Timo Häckel, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
Secure Time-Sensitive Software-Defined Networking in Vehicles. - Václav Skala, Duc Huy Bui:
Two New Algorithms for Line Clipping in E2 and Their Comparison. - Václav Skala:
Line Clipping in E3 with Expected Complexity O(1). - Ilja Behnke, Philipp Wiesner, Robert Danicki, Lauritz Thamsen:
A Priority-Aware Multiqueue NIC Design. - Aurélien Brun, Davide Antonio Cucci, Jan Skaloud:
LiDAR Point-to-point Correspondences for Rigorous Registration of Kinematic Scanning in Dynamic Networks. - Manan Jhaveri, Devanshu Ramaiya, Harveen Singh Chadha:
Toxicity Detection for Indic Multilingual Social Media Content. - Miquel Martí i Rabadán, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. - Hong-lin Liao, Yuanyuan Kang, Wenzhe Han:
Discrete gradient structures of BDF methods up to fifth-order for the phase field crystal model. - Sebastian Reich:
Frequentist perspective on robust parameter estimation using the ensemble Kalman filter. - Felipe A. Quezada, Cristóbal A. Navarro, Nancy Hitschfeld, Benjamin Bustos:
Squeeze: Efficient Compact Fractals for Tensor Core GPUs. - Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty:
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. - Natanael Arndt, Sebastian Zänker, Gezim Sejdiu, Sebastian Tramp:
Jekyll RDF: Template-Based Linked Data Publication with Minimized Effort and Maximum Scalability. - Zhaohua Zheng, Jianfang Li, Lingjie Zhu, Honghua Li, Frank Petzold, Ping Tan:
GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings. - Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer:
Neural network training under semidefinite constraints. - Yizhang Wang, Di Wang, You Zhou, Xiaofeng Zhang, Chai Quek:
VDPC: Variational Density Peak Clustering Algorithm. - Jinbao Zhu, Songze Li:
A Systematic Approach towards Efficient Private Matrix Multiplication. - Arnaud Delaunoy, Gilles Louppe:
SAE: Sequential Anchored Ensembles. - Shlomo Kashani, Amir Ivry:
Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI. - John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression. - Kasturi Das, Srinivasan Krishnaswamy, Somanath Majhi:
H2 Optimal Model Order Reduction over a Finite Time Interval. - Ling Tang, Yajie Yu, Yanjun Zhang, Hanyu Li:
Sketch-and-project methods for tensor linear systems. - Matteo Boffa, Zied Ben-Houidi, Jonatan Krolikowski, Dario Rossi:
Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure. - Mingfu Xue, Xin Wang, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu:
Compression-Resistant Backdoor Attack against Deep Neural Networks. - Somreeta Pramanik, Adlen Ksentini, Carla-Fabiana Chiasserini:
Characterizing the Computational and Memory Requirements of Virtual RANs. - Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar:
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges. - Christin Katharina Kreutz, Ralf Schenkel:
Scientific Paper Recommendation Systems: a Literature Review of recent Publications. - Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov:
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. - Stanislaw Adaszewski, Pascal Kuner, Ralf J. Jaeger:
Automatic Pharma News Categorization. - Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi:
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. - Federico Albanese, Esteban Feuerstein:
Improved Topic modeling in Twitter through Community Pooling. - Leszek Szczecinski, Iris-Ioana Roatis:
FIFA ranking: Evaluation and path forward. - Bruno Ohana, Jack Sullivan, Nicole Baker:
Validation and Transparency in AI systems for pharmacovigilance: a case study applied to the medical literature monitoring of adverse events. - Hao Peng, Hang Li, Lei Hou, Juanzi Li, Chao Qiao:
Multimodal Entity Tagging with Multimodal Knowledge Base. - Arnault Pachot, Adélaïde Albouy-Kissi, Benjamin Albouy-Kissi, Frédéric Chausse:
Decision support system for distributed manufacturing based on input-output analysis and economic complexity. - Honguk Woo, Hyunsung Lee, Sangwoo Cho:
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation. - Yuan-Yu Chang, Sheng-Tang Wong, Emmanuel Oluwatobi Salawu, Yu-Xuan Wang, Jui-Hung Hung, Lee-Wei Yang:
Full-privacy secured search engine empowered by efficient genome-mapping algorithms. - Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang:
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. - Adam Smelko, Sona Molnárová, Miroslav Kratochvíl, Abhishek Koladiya, Jan Musil, Martin Krulis, Jirí Vondrásek:
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM. - Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang:
Continuous Submodular Maximization: Boosting via Non-oblivious Function. - Shiyuan Sun, Fang Yang, Jian Song, Zhu Han:
Optimization on Multi-User Physical Layer Security of Intelligent Reflecting Surface-Aided VLC. - Amir Modares, Nasser Sadati, Hamidreza Modares:
Data Driven Safe Gain-Scheduling Control. - Denis Fortun, Étienne Baudrier, Fabian Zwettler, Markus Sauer, Sylvain Faisan:
Multiview point cloud registration with anisotropic and space-varying localization noise. - Nikhil Potu Surya Prakash:
A Computational Approach for Variational Integration of Attitude Dynamics on SO(3). - Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao:
Multi-view Data Classification with a Label-driven Auto-weighted Strategy. - Sara Malvar, Julio Romano Meneghini:
Machine learning approaches for localized lockdown during COVID-19: a case study analysis. - Claudia Schon, Ulrich Furbach, Marco Ragni:
Modeling Associative Reasoning Processes. - Bárbara Tavares, Cláudia Soares, Manuel Marques:
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems. - Vrishabh Patil, Yonatan Mintz:
A Mixed Integer Programming Approach to Training Dense Neural Networks. - Andrew Downie, Bahman Gharesifard, Stephen L. Smith:
Submodular Maximization with Limited Function Access. - Mohammad A. Moghaddam, Ty Paul Andrew Ferré, Xingyuan Chen, Kewei Chen, Mohammad Reza Ehsani:
Application of Machine Learning Methods in Inferring Surface Water Groundwater Exchanges using High Temporal Resolution Temperature Measurements. - Malin Sandström, Mathew Birdsall Abrams, Jan G. Bjaalie, Mona Hicks, David N. Kennedy, Arvind Kumar, Jean-Baptiste Poline, Prasun Roy, Paul H. E. Tiesinga, Thomas Wachtler, Wojtek Goscinski:
Recommendations for repositories and scientific gateways from a neuroscience perspective. - Davide Ginelli, Oliviero Riganelli, Daniela Micucci, Leonardo Mariani:
Exception-Driven Fault Localization for Automated Program Repair. - Sandro Preto, Eduardo Fermé, Marcelo Finger:
Coherence of probabilistic constraints on Nash equilibria. - Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation. - Robert J. Joyce, Edward Raff, Charles Nicholas:
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time. - Cong T. Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
MetaChain: A Novel Blockchain-based Framework for Metaverse Applications. - Sriramya Bhamidipati, Tara Yasmin Mina, Grace Xingxin Gao:
A Case Study Analysis for Designing a Lunar Navigation Satellite System with Time-Transfer from Earth-GPS. - Harrison Foley, Liam Fowl, Tom Goldstein, Gavin Taylor:
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning. - Phillip Rieger, Thien Duc Nguyen, Markus Miettinen, Ahmad-Reza Sadeghi:
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection. - Ruiqi He, Yash Raj Jain, Falk Lieder:
Have I done enough planning or should I plan more? - Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning into the eXtended DER-verse. - Marwan Omar, Soohyeon Choi, DaeHun Nyang, David Mohaisen:
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions. - Javier Hernandez-Ortega, Julian Fiérrez, Ignacio Serna, Aythami Morales:
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment. - Pooneh Safayenikoo, Arghavan Asad, Mahmood Fathy:
Energy-efficient Non Uniform Last Level Caches for Chip-multiprocessors Based on Compression. - Marc Demange, David Ellison, Bertrand Jouve:
Orienteering problem with time-windows and updating delay. - Franz J. Brandenburg:
On Optimal Beyond-Planar Graphs. - Siming Yan, Zhenpei Yang, Haoxiang Li, Li Guan, Hao Kang, Gang Hua, Qixing Huang:
Implicit Autoencoder for Point Cloud Self-supervised Representation Learning. - Thomas Fernique, Ilya Galanov:
Purely local growth of a quasicrystal. - Shunyu Yao, Ruizhe Zhong, Yichao Yan, Guangtao Zhai, Xiaokang Yang:
DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering. - Ilya Galanov:
The exact complexity of a Robinson tiling. - Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto García-Durán, Robert West:
Wikipedia Reader Navigation: When Synthetic Data Is Enough. - Naama Ben-David, Guy E. Blelloch, Yuanhao Wei:
Lock-Free Locks Revisited. - Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing:
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. - Quan Thoi Minh Nguyen:
00. - Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller:
Multivariate Time Series Regression with Graph Neural Networks. - David A. Noever:
Runway Extraction and Improved Mapping from Space Imagery. - Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu:
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data. - Alia Abbas:
AI & Racial Equity: Understanding Sentiment Analysis Artificial Intelligence, Data Security, and Systemic Theory in Criminal Justice Systems. - Dimitris Karakostas, Aggelos Kiayias, Thomas Zacharias:
Blockchain Nash Dynamics and the Pursuit of Compliance. - Nikhil Potu Surya Prakash, Tamara Perreault, Trevor Voth, Zejun Zhong:
Adaptive Model Predictive Control of Wheeled Mobile Robots. - Timothy Stevens, Joseph P. Near, Christian Skalka:
Secret Sharing Sharing For Highly Scalable Secure Aggregation. - Suhas S. Kowshik:
Improved bounds for the many-user MAC. - Niloofar Bahadori, Jonathan D. Ashdown, Francesco Restuccia:
ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning. - Mehdi Zaïdi:
Duality for the existential fragment of first-order logic on words with numerical predicates of a fixed arity. - Jacob Nelson-Slivon, Ahmed Hassan, Roberto Palmieri:
Technical Report: Bundling Linked Data Structures for Linearizable Range Queries. - Hanlin Mo, Hua Li, Guoying Zhao:
Gaussian-Hermite Moment Invariants of General Vector Functions to Rotation-Affine Transform. - Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Monitoring and Anomaly Detection Actor-Critic Based Controlled Sensing. - Amir Behrouzi-Far, Emina Soljanin:
Balanced Nonadaptive Redundancy Scheduling. - Rubén Aylwin, Carlos Jerez-Hanckes:
Finite-Element Domain Approximation for Maxwell Variational Problems on Curved Domains. - Vahid Keshavarzzadeh, Shandian Zhe, Robert M. Kirby, Akil Narayan:
GP-HMAT: Scalable, O(n log(n)) Gaussian Process Regression with Hierarchical Low-Rank Matrices. - John Patterson, Chris S. Avery, Tyler Grear, Donald J. Jacobs:
Biased Hypothesis Formation From Projection Pursuit. - Yibin Wang, Haifeng Wang, Zhaohua Peng:
Rice Diseases Detection and Classification Using Attention Based Neural Network and Bayesian Optimization. - Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman:
A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques. - Kamil Doleglo, Anna Paszynska, Maciej Paszynski, Leszek F. Demkowicz:
Deep neural networks for smooth approximation of physics with higher order and continuity B-spline base functions. - Thai T. Vu, Dinh Thai Hoang, Khoa Tran Phan, Diep N. Nguyen, Eryk Dutkiewicz:
Energy-based Proportional Fairness in Cooperative Edge Computing. - Lorenzo Jaime Yu Flores, Yiding Hao:
An Adversarial Benchmark for Fake News Detection Models. - Bingquan Ji, Xiaohan Zhu, Hong-lin Liao:
Energy stability of variable-step L1-type schemes for time-fractional Cahn-Hilliard model. - Nathan A. Chi, Peter Washington, Aaron Kline, Arman Husic, Cathy Hou, Chloe He, Kaitlyn Dunlap, Dennis P. Wall:
Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach. - Charles Dawson, Bethany Lowenkamp, Dylan Goff, Chuchu Fan:
Learning Safe, Generalizable Perception-based Hybrid Control with Certificates. - Kuniyuki Takahashi, Naoki Fukaya, Avinash Ummadisingu:
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping. - Yihua Ma, Zhifeng Yuan, Guanghui Yu, Shuqiang Xia, Liujun Hu:
Waveform Design Using Half-duplex Devices for 6G Joint Communications and Sensing. - Joos Heintz, Hvara Ocar, Luis Miguel Pardo, Andres Rojas Paredes, Enrique Carlos Segura:
An unfeasability view of neural network learning. - Bulla Rajesh, Abhishek Kumar Gupta, Ayush Raj, Mohammed Javed:
HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network. - José Alves Oliveira, Fabio Enrique Brochero Martínez:
Dynamics of polynomial maps over finite fields. - Yunzhi Lin, Chao Tang, Fu-Jen Chu, Ruinian Xu, Patricio A. Vela:
Primitive Shape Recognition for Object Grasping. - Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin:
Neural Piecewise-Constant Delay Differential Equations. - Tanmoy Chakraborty, Sarah Masud:
Nipping in the Bud: Detection, Diffusion and Mitigation of Hate Speech on Social Media. - Letian Peng, Zuchao Li, Hai Zhao:
Semantics-Preserved Distortion for Personal Privacy Protection. - Rajagopal A., Nirmala V., Andrew J, Arun Muthuraj Vedamanickam:
AI visualization in Nanoscale Microscopy. - Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang:
The PETSc Community Is the Infrastructure. - Md Lutfar Rahman, Thomas Watson:
Erdős-Selfridge Theorem for Nonmonotone CNFs. - Rajagopal A., Nirmala V., Arun Muthuraj Vedamanickam:
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety. - Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo:
Submix: Practical Private Prediction for Large-Scale Language Models. - Hyunjin Choo, Kijung Shin:
On the Persistence of Higher-Order Interactions in Real-World Hypergraphs. - Wei Gong, Felix Kwok, Zhiyu Tan:
Convergence analysis of the Schwarz alternating method for unconstrained elliptic optimal control problems. - Chengxi Li, Brent Harrison:
StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams. - Shengwen Ding, Chenhui Hu:
Survey on the Convergence of Machine Learning and Blockchain. - Andre Jesus, Claudio Zito, Claudio Tortorici, Eloy Roura, Giulia De Masi:
Underwater Object Classification and Detection: first results and open challenges. - Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang:
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. - Suyash Gupta, Sajjad Rahnama, Erik Linsenmayer, Faisal Nawab, Mohammad Sadoghi:
Reliable Transactions in Serverless-Edge Architecture. - Tonmoay Deb, Akib Sadmanee, Kishor Kumar Bhaumik, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
Variational Stacked Local Attention Networks for Diverse Video Captioning. - Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li:
MDFEND: Multi-domain Fake News Detection. - Bowen Xing, Ivor W. Tsang:
DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification. - Oussama Bekkouche, Miloud Bagaa, Tarik Taleb:
Toward a UTM-based Service Orchestration for UAVs in MEC-NFV Environment. - Neng Wan, Dapeng Li, Naira Hovakimyan:
Fundamental Limitations of Control and Filtering in Continuous-Time Systems: An Information-Theoretic Analysis. - Bosubabu Sambana, Priyanka Mishra:
A Survey on Brain-Computer Interaction. - Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Swalpa Kumar Roy, Xin Wu:
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification. - Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He:
Multi-Representation Adaptation Network for Cross-domain Image Classification. - Yongchun Zhu, Fuzhen Zhuang, Deqing Wang:
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources. - Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. - Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak:
Learning to Generate Novel Classes for Deep Metric Learning. - Mikhail Moshkov:
Time and space complexity of deterministic and nondeterministic decision trees. - Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao:
Detailed Facial Geometry Recovery from Multi-view Images by Learning an Implicit Function. - Wei Lin, Hua Jiang, Zhifang Yang:
Tie-line Security Regions in High Dimension for Renewable Accommodations. - Benting Wan, Shufen Zhou:
A integrating critic-waspas group decision making method under interval-valued q-rung orthogonal fuzzy enviroment. - Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux:
Weakly-supervised continual learning for class-incremental segmentation. - Liwen Hu, Lei Ma, Dawei Weng, Tiejun Huang:
A Robust Visual Sampling Model Inspired by Receptive Field. - Swati Bhardwaj, Madhu Raka:
Multi-dimensional Constacyclic Codes of Arbitrary Length over Finite Fields. - Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris:
Learning Operators with Coupled Attention. - Chenwu Zhang, Hancheng Lu, Zhuojia Gu:
Analysis and Optimization of Cache-Enabled mmWave HetNets with Integrated Access and Backhaul. - Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl:
McXai: Local model-agnostic explanation as two games. - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. - Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais:
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. - Ashirbad Pradhan, Jiayuan He, Ning Jiang:
Open Access Dataset for Electromyography based Multi-code Biometric Authentication. - Ali El-Merhi, Helena Odenstedt Hergés, Linda Block, Mikael Elam, Richard Vithal, Jaquette Liljencrantz, Miroslaw Staron:
Trusting Machine Learning Results from Medical Procedures in the Operating Room. - Liang Ma, Damien Chablat, Fouad Bennis, Wei Zhang:
A new simple dynamic muscle fatigue model and its validation. - Öznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth M. Daly, Diptikalyan Saha:
FROTE: Feedback Rule-Driven Oversampling for Editing Models. - Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk:
Towards Unsupervised Open World Semantic Segmentation. - Zhiwei Li, Lu Sun, Mineichi Kudo, Kego Kimura:
CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels. - Hui Liu, Bo Zhao, Yuefeng Peng, Weidong Li, Peng Liu:
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection. - Donghwa Shon, Byeongjoon Noh, Nahyang Byun:
Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing. - Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang:
Learning Quality-aware Representation for Multi-person Pose Regression. - Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi:
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks. - Yunbin Zhao, Songhao Zhu, Dongsheng Wang, Zhiwei Liang:
Short Range Correlation Transformer for Occluded Person Re-Identification. - Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks. - Mostafa Faraji, Alexander Seitz, Christoph Meier, Wolfgang A. Wall:
A Mortar Finite Element Formulation for Large Deformation Lubricated Contact Problems with Smooth Transition Between Mixed, Elasto-Hydrodynamic and Full Hydrodynamic Lubrication. - Sedar Olmez, Dan Birks, Alison J. Heppenstall:
Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study. - Fangcheng Liu, Chao Zhang, Hongyang Zhang:
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes. - Ángel Giménez, Miguel A. Murcia, José M. Amigó, Oscar Martínez Bonastre, José Valero:
New RED-type TCP-AQM algorithms based on beta distribution drop functions. - Andrew Lewis-Pye:
Quadratic worst-case message complexity for State Machine Replication in the partial synchrony model. - Yuan Zhang, Yuanqing Xia, Yufeng Zhan:
On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods. - He Ma, Shidong Zhou:
Noisy Sensor Scheduling in Wireless Networked Control Systems: Freshness or Precision. - Jingjing Yang, Haifeng Lu, Chengming Li, Xiping Hu, Bin Hu:
Data Augmentation for Depression Detection Using Skeleton-Based Gait Information. - Mohammad Eslami, Tara Ghasempouri, Samuel Pagliarini:
Reusing Verification Assertions as Security Checkers for Hardware Trojan Detection. - Kai Wu, Chao Wang, Junyuan Chen, Jing Liu:
What Knowledge can be Transferred Between Network Reconstruction and Community Detection? - Alex Berke, Ronan Doorley, Kent Larson, Esteban Moro:
Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy. - Yanhua Xu, Dominik Wojtczak:
Predicting Influenza A Viral Host Using PSSM and Word Embeddings. - Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Digital Twin Network: Opportunities and Challenges. - Chao Wang, Kai Wu, Jing Liu:
Evolutionary Multitasking AUC Optimization. - Ievgen Kabin, Zoya Dyka, Dan Kreiser, Peter Langendoerfer:
Unified Field Multiplier for ECC: Inherent Resistance against Horizontal SCA Attacks. - Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi:
Parity-based Cumulative Fairness-aware Boosting. - Ievgen Kabin, Alejandro Sosa, Zoya Dyka, Dan Klann, Peter Langendoerfer:
On the Influence of the FPGA Compiler Optimization Options on the Success of the Horizontal Attack. - Jan Vykopal, Valdemar Svábenský, Pavel Seda, Pavel Celeda:
Preventing Cheating in Hands-on Lab Assignments. - Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei:
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. - Ievgen Kabin, Zoya Dyka, Dan Klann, Nele Mentens, Lejla Batina, Peter Langendoerfer:
Breaking a fully Balanced ASIC Coprocessor Implementing Complete Addition Formulas on Weierstrass Elliptic Curves. - Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng:
Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. - Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. - R. Pinto Carvalho, A. M. Couto Carneiro, F. M. Andrade Pires, A. Popp:
An Efficient Contact Algorithm for Rigid/Deformable Interaction based on the Dual Mortar Method. - Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao:
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation. - Haemin Lee, Sean Soek-Chul Kwon, Soyi Jung, Joongheon Kim:
Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery. - Thomas Mueller Graf, Daniel Lemire:
Binary Fuse Filters: Fast and Smaller Than Xor Filters. - Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Towards Fair Recommendation in Two-Sided Platforms. - R. Kovtun, Sergiy Radchenko, Andrii Netreba, Oleksandr O. Sudakov, Roman Natarov, Zoya Dyka, Ievgen Kabin, Peter Langendörfer:
Exploiting EEG Signals for Eye Motion Tracking. - Kshitija Taywade, Brent Harrison, Adib Bagh:
Modelling Cournot Games as Multi-agent Multi-armed Bandits. - Matteo Gavazzoni, Nicola Ferro, Simona Perotto, Stefano Foletti:
Multi-physics inverse homogenization for the design of innovative cellular materials: application to thermo-mechanical problems. - Ruiyin Li, Mohamed Soliman, Peng Liang, Paris Avgeriou:
Symptoms of Architecture Erosion in Code Reviews: A Study of Two OpenStack Projects. - Adam Polevoy, Max Basescu, Luca Scheuer, Joseph L. Moore:
Post-Stall Navigation with Fixed-Wing UAVs using Onboard Vision. - Abdalsamad Keramatfar, Mohadeseh Rafiee, Hossein Amirkhani:
Graph Neural Networks: a bibliometrics overview. - B. Ananthanarayan, Souvik Bera, S. Friot, Tanay Pathak:
Olsson.wl : a Mathematica package for the computation of linear transformations of multivariable hypergeometric functions. - Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-level Graph Neural Network. - Ravi Peters, Balázs Dukai, Stelios Vitalis, Jordi van Liempt, Jantien E. Stoter:
Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands. - Viktor Linders:
On an eigenvalue property of Summation-By-Parts operators. - Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi:
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation. - Shiqi Zheng, Peng Shi, Huiyan Zhang:
Semi-global Periodic Event-triggered Output Regulation for Nonlinear Multi-agent Systems. - Yuanfeng Song, Raymond Chi-Wing Wong, Xuefang Zhao, Di Jiang:
Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question. - Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. - Wei Ding, Sansit Patnaik, Fabio Semperlotti:
Multiscale Nonlocal Elasticity: A Distributed Order Fractional Formulation. - Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato:
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. - Andrew R. Cohen, Paul M. B. Vitányi:
The cluster structure function. - Farshad Noravesh:
Sparse Non-Convex Optimization For Higher Moment Portfolio Management. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Exponentially Convergent Direct Adaptive Pole Placement Control of Plants with Unmatched Uncertainty under FE Condition. - Zhe Zhang, Shiyao Ma, Zhaohui Yang, Zehui Xiong, Jiawen Kang, Yi Wu, Kejia Zhang, Dusit Niyato:
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones. - Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. - Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens:
Discrete and continuous representations and processing in deep learning: Looking forward. - Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error. - Beate Grawemeyer, John Halloran, Matthew England, David Croft:
Feedback and Engagement on an Introductory Programming Module. - Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. - Piero Deidda, Mario Putti, Francesco Tudisco:
Nodal domain count for the generalized graph p-Laplacian. - Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions. - Guan Wang, Yusuke Kikuchi, Jinglin Yi, Qiong Zou, Rui Zhou, Xin Guo:
Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity. - Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan:
Multi-Stage Episodic Control for Strategic Exploration in Text Games. - Erdal Mutlu, Ajay Panyala, Karol Kowalski, Nicholas P. Bauman, Bo Peng, Jiri Brabec, Sriram Krishnamoorthy:
TAMM: Tensor Algebra for Many-body Methods. - Niall L. Williams, Aniket Bera, Dinesh Manocha:
ENI: Quantifying Environment Compatibility for Natural Walking in Virtual Reality. - Roberto La Scala, Sergio Polese, Sharwan K. Tiwari, Andrea Visconti:
An algebraic attack to the Bluetooth stream cipher E0. - Hamed Hellaoui, Miloud Bagaa, Ali Chelli, Tarik Taleb:
Joint Sub-carrier and Power Allocation for Efficient Communication of Cellular UAVs. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Local Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval. - Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty:
Local Directional Gradient Pattern: A Local Descriptor for Face Recognition. - Soumendu Chakraborty, Anand Singh Jalal, Charul Bhatnagar:
LSB Based Non Blind Predictive Edge Adaptive Image Steganography. - Brian S. Ryujin, Arturo Vargas, Ian Karlin, Shawn A. Dawson, Kenneth Weiss, Adam Bertsch, Michael Scott McKinley, Michael R. Collette, Simon D. Hammond, Kevin T. Pedretti, Robert N. Rieben:
Understanding Power and Energy Utilization in Large Scale Production Physics Simulation Codes. - Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Dominik Neumann, Pragneshkumar Patel, R. S. Vishwanath, James M. Balter, Yue Cao, Sasa Grbic, Dorin Comaniciu:
Self-supervised Learning from 100 Million Medical Images. - Dominik Kempa, Tomasz Kociumaka:
Dynamic Suffix Array with Polylogarithmic Queries and Updates. - Bradley McCoy, Eli Quist, Anna Schenfisch:
Catching Polygons. - Xin Wang, Ziwei Zhang, Wenwu Zhu:
Automated Graph Machine Learning: Approaches, Libraries and Directions. - Wenwu Zhu, Xin Wang, Pengtao Xie:
Self-directed Machine Learning. - Wele Gedara Chaminda Bandara, Vishal M. Patel:
A Transformer-Based Siamese Network for Change Detection. - Trung-Hieu Tran, Jan Berberich, Sven Simon:
3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution. - Qiankun Liu, Dongdong Chen, Qi Chu, Lu Yuan, Bin Liu, Lei Zhang, Nenghai Yu:
Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation. - Matthew J. Colbrook, Andrew Horning:
SpecSolve: Spectral methods for spectral measures. - Nicola Guglielmi, Mattia Manucci:
Contour Integral Methods for time treatment in Reduced Basis Methods. - Prithvi Akella, Wyatt Ubellacker, Aaron D. Ames:
Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification. - Subhadip Mitra:
OConsent - Open Consent Protocol for Privacy and Consent Management with Blockchain. - Marco Fabris, Daniel Zelazo:
Bearing-based Autonomous Communication Relay Positioning under Field-of-View Constraints. - Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber, Enzo Bustos, André Seidel Oliveira, Bruno Miguel Veloso, Fábio Levy Siqueira, Anna Helena Reali Costa:
ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling. - Hannes Bartz, Sven Puchinger:
Fast Decoding of Interleaved Linearized Reed-Solomon Codes and Variants. - Eya Ben Amar, Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Raúl Tempone:
Efficient Importance Sampling Algorithm Applied to the Performance Analysis of Wireless Communication Systems Estimation. - Xiaolong Huang, Alexandre F. Ramos, Yuefan Deng:
Optimal circulant graphs as low-latency network topologies. - Sabine Storandt, Johannes Zink:
Polyline Simplification under the Local Fréchet Distance has Subcubic Complexity in 2D. - George Panagopoulos, Michalis Vazirgiannis:
Exploratory Analysis of Academic Collaborations between French and US. - Hengbo Ma, Bike Zhang, Masayoshi Tomizuka, Koushil Sreenath:
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments. - Samuel Arseneault, David Vielfaure, Giovanni Beltrame:
RASS: Risk-Aware Swarm Storage. - Eryn Ma, Summer Hasama, Eshaan Lumba, Eleanor Birrell:
Prospects for Improving Password Selection. - Daniel Pfrommer, Nikolai Matni:
Linear Variational State Space Filtering. - Xingqin Lin:
An Overview of 5G Advanced Evolution in 3GPP Release 18. - Mamdouh Alenezi:
Software and Security Engineering in Digital Transformation. - Visak Kumar:
Learning Control Policies for Fall prevention and safety in bipedal locomotion. - Andrew W. E. McDonald, Ali Shokoufandeh:
Sparse Super-Regular Networks. - Luciana Ferrer, Diego Castán, Mitchell McLaren, Aaron Lawson:
A Hierarchical Model for Spoken Language Recognition. - Yuhao Zhu:
RTNN: Accelerating Neighbor Search Using Hardware Ray Tracing. - Won Kyung Do, Monroe Kennedy III:
DenseTact: Optical Tactile Sensor for Dense Shape Reconstruction. - Sven Gronauer, Matthias Kissel, Luca Sacchetto, Mathias Korte, Klaus Diepold:
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors. - Nuno Baeta, Pedro Quaresma:
Open Geometry Prover Community Project. 129-138 - Yan Pang, Chao Liu:
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification. - Yan Pang, Chao Liu:
Efficient-Dyn: Dynamic Graph Representation Learning via Event-based Temporal Sparse Attention Network. - Nisa Bostanci, Ataberk Olgun, Lois Orosa, Abdullah Giray Yaglikçi, Jeremie S. Kim, Hasan Hassan, Oguz Ergin, Onur Mutlu:
DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators. - Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Deep learning for location based beamforming with NLOS channels. - Mohamad Kazem Shirani Faradonbeh, Aditya Modi:
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems. - Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
End-to-End Autoencoder Communications with Optimized Interference Suppression. - Zhijin Qin, Xiaoming Tao, Jianhua Lu, Geoffrey Ye Li:
Semantic Communications: Principles and Challenges. - Ademola Okerinde, Sam Hoggatt, Divya Vani Lakkireddy, Nolan Brubaker, William Hsu, Lior Shamir, Brian Spiesman:
Self-Supervised Approach to Addressing Zero-Shot Learning Problem. - Hanseok Kim, Woo-Seok Choi:
Improving Spiking Neural Network Accuracy Using Time-based Neurons. - Nestor Sánchez, Tonatiuh Sánchez-Vizuet, Manuel E. Solano:
Afternote to Coupling at a distance: convergence analysis and a priori error estimates. - Hieu Le, Hans Walker, Dung N. Tran, Peter Chin:
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness. - Guangshen Ma, Weston A. Ross, Patrick J. Codd:
Robotic Laser Orientation Planning with a 3D Data-driven Method. - Hasham Ul Haq, Veysel Kocaman, David Talby:
Mining Adverse Drug Reactions from Unstructured Mediums at Scale. - Rami Akrem Addad, Diego Leonel Cadette Dutra, Miloud Bagaa, Tarik Taleb, Hannu Flinck, Mehdi Namane:
Benchmarking the ONOS Intent interfaces to ease 5G service management. - Jingwei Song, Mitesh Patel, Maani Ghaffari:
Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization. - Amin Eslami Abyane, Derui Zhu, Roberto Medeiros de Souza, Lei Ma, Hadi Hemmati:
Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness. - Xian Wei, Xihao Wang, Hai Lan, JiaMing Lei, Yanhui Huang, Hui Yu, Jian Yang:
Synthesizing Tensor Transformations for Visual Self-attention. - Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Towards Similarity-Aware Time-Series Classification. - Sihem Ouahouah, Jonathan Prados-Garzon, Tarik Taleb, Chafika Benzaid:
Energy and Delay aware Physical Collision Avoidance in Unmanned Aerial Vehicles. - Chris Rohlfs:
Problem-dependent attention and effort in neural networks with an application to image resolution. - UJu Gim, YeongHyeon Park:
Latent Vector Expansion using Autoencoder for Anomaly Detection. - Asei Inoue, Yusuke Kobayashi:
An Additive Approximation Scheme for the Nash Social Welfare Maximization with Identical Additive Valuations. - Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin:
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. - Chongjun Ouyang, Yuanwei Liu, Hongwen Yang:
On the Performance of Uplink ISAC Systems. - Peng Hang, Chao Huang, Zhongxu Hu, Chen Lv:
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach. - Yang Zhang, Yang Yang, Chenyun Xiong, Guodong Sun, Yanwen Guo:
Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation. - Peng Hang, Chao Huang, Zhongxu Hu, Chen Lv:
Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits. - Ke Li, Peili Mao, Tao Chen:
LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective. - Bingnan Zhou, Junfei Xie, Baoqian Wang:
Dynamic Coded Convolution with Privacy Awareness for Mobile Ad Hoc Computing. - Ching-Lueh Chang:
Deterministic metric 1-median selection with very few queries. - Masaaki Harada:
Construction of extremal Type II Z2k-codes. - Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica:
Balsa: Learning a Query Optimizer Without Expert Demonstrations. - Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia:
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. - Andy Shih, Stefano Ermon, Dorsa Sadigh:
Conditional Imitation Learning for Multi-Agent Games. - Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly:
Offsetting Unequal Competition through RL-assisted Incentive Schemes. - Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu:
ARCLIN: Automated API Mention Resolution for Unformatted Texts. - Matti Pietikäinen, Olli Silvén:
Challenges of Artificial Intelligence - From Machine Learning and Computer Vision to Emotional Intelligence. - Jon McCormack, Camilo Cruz Gambardella:
Complexity and Aesthetics in Generative and Evolutionary Art. - Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda:
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. - (Withdrawn) Control of a Soft Robotic Arm Using a Piecewise Universal Joint Model.
- Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers:
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control. - Sharvani Srivastava, Amisha Gangwar, Richa Mishra, Sudhakar Singh:
Sign Language Recognition System using TensorFlow Object Detection API. - Pierre Mézières, François Desrichard, David Vanderhaeghe, Mathias Paulin:
Harmonics Virtual Lights : fast projection of luminance field on spherical harmonics for efficient rendering. - Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng:
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers. - Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. - Mikhail Moshkov:
Decision trees for binary subword-closed languages. - Chongkeun Paik, Hyunwoo J. Kim:
Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones. - Yun Fan, Yuchang Zhang:
Self-dual 2-quasi-cyclic Codes and Dihedral Codes. - Rui Peng, Rongjie Wang, Zhenyu Wang, Yawen Lai, Ronggang Wang:
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss. - Shuaijun Chen, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang, Xuequan Lu:
Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering. - Xiaotian Wang, Housheng Su:
Transmission-Constrained Consensus of Multiagent Networks. - Akul Malhotra, Atanu K. Saha, Chunguang Wang, Sumeet Kumar Gupta:
ADRA: Extending Digital Computing-in-Memory with Asymmetric Dual-Row-Activation. - Daniela Thyssens, Jonas K. Falkner, Lars Schmidt-Thieme:
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size. - Shengyao Zhuang, Zhihao Qiao, Guido Zuccon:
Reinforcement Online Learning to Rank with Unbiased Reward Shaping. - Feiyu Yao, Zongkai Wu, Zhenyu Wei, Donglin Wang:
Few-shot Domain Adaptation for IMU Denoising. - B. V. S. Nagendra Reddy, Vitthal Manohar Khatik, Burkhard Corves, Anupam Saxena:
Compliant Constant Output / Input Force Mechanisms - Topology Optimization with Contact. - Mohamed Amine Hamadi, Khalide Jbilou, Ahmed Ratnani:
An efficient extended block Arnoldi algorithm for feedback stabilization of incompressible Navier-Stokes flow problems. - Catherine F. Higham, Desmond J. Higham, Francesco Tudisco:
Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer. - Ahmed Elkhashap, Dirk Abel:
Model Order Reduction of Advection-Dispersion-Reaction Equation with Time-Varying Coefficients, Application to Real-Time Water Quality Monitoring. - Rob Watson, Will Trojak:
On the Use of RBF Interpolation for Flux Reconstruction. - Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, Liguo Huang, Bin Luo:
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations. - Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform. - Lars Gottesbüren, Tobias Heuer, Peter Sanders:
Parallel Flow-Based Hypergraph Partitioning. - Hengjia Wei, Moshe Schwartz:
Perfect Codes Correcting a Single Burst of Limited-Magnitude Errors. - Dilek Küçük:
Monitoring Energy Trends through Automatic Information Extraction. - Bing Han, Zhongyang Xiao, Shuai Huang, Tao Zhang:
Multi-layer VI-GNSS Global Positioning Framework with Numerical Solution aided MAP Initialization. - Zhengqi Zhang, Zhidong Zhang, Zhi Zhou:
Identification of potential in diffusion equations from terminal observation: analysis and discrete approximation. - Giulia Zaino, Carmine Tommaso Recchiuto, Antonio Sgorbissa:
Culture-to-Culture Image Translation with Generative Adversarial Networks. - Pavel Seda, Jan Vykopal, Valdemar Svábenský, Pavel Celeda:
Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. - Peter Kunkel, Volker Mehrmann:
Local and global canonical forms for differential-algebraic equations with symmetries. - Giannis Giakoumakis, Eva Papadogiannaki, Giorgos Vasiliadis, Sotiris Ioannidis:
Scheduling of Multiple Network Packet Processing Applications using Pythia. - Eduardo Weber Wächter, Server Kasap, Sefki Kolozali, Xiaojun Zhai, Shoaib Ehsan, Klaus D. McDonald-Maier:
Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation. - Abdelmajid Ben Yahya, Nick Van Oosterwyck, Ferre Knaepkens, Simon Houwen, Stijn Herregodts, Jan Herregodts, Bart Vanwalleghem, Annie Cuyt, Stijn Derammelaere:
CAD Based Design Optimization of Four-bar Mechanisms: a coronaventilator case study. - Xingqun Qi, Muyi Sun, Qi Li, Caifeng Shan:
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning. - Nick Van Oosterwyck, Foeke Vanbecelaere, Ferre Knaepkens, Michael Monte, Kurt Stockman, Annie Cuyt, Stijn Derammelaere:
Energy Optimal Point-to-Point Motion Profile Optimization. - Jérémie Chalopin, Victor Chepoi, Ugo Giocanti:
Graphs with convex balls. - Jaemin Shin, Yuanchun Li, Yunxin Liu, Sung-Ju Lee:
Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients. - Jiaxi Gu, Samala Rathan:
Sixth order weighted essentially non-oscillatory schemes with Z-type nonlinear weighting procedure for nonlinear degenerate parabolic equations. - He Liu, Tao Wang, Yidong Li, Congyan Lang, Songhe Feng, Haibin Ling:
Deep Probabilistic Graph Matching. - Thomas L. Carroll:
Optimizing Memory in Reservoir Computers. - Kai-Cheng Yang, Emilio Ferrara, Filippo Menczer:
Botometer 101: Social bot practicum for computational social scientists. - Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Vassilis Athitsos, Mohammad Sabokrou:
All You Need In Sign Language Production. - Arne Wendt, Thorsten Schüppstuhl:
Proxying ROS communications - enabling containerized ROS deployments in distributed multi-host environments. - Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury:
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. - Haotian Yan, Chuang Zhang, Ming Wu:
Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention. - Beatrice Ghitti, Eleuterio F. Toro, Lucas O. Müller:
Nonlinear lumped-parameter models for blood flow simulations in networks of vessels. - Amira Guesmi, Khaled N. Khasawneh, Nael B. Abu-Ghazaleh, Ihsen Alouani:
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints. - Abdulla Ayyad, Mohamad Halwani, Dewald Swart, Rajkumar Muthusamy, Fahad Almaskari, Yahya H. Zweiri:
Neuromorphic Vision Based Control for the Precise Positioning of Robotic Drilling Systems. - Ningyuan Chen, Shuoguang Yang:
Bridging Adversarial and Nonstationary Multi-armed Bandit. - Xu Zhang, Jian Yang, Haoyang Huang, Shuming Ma, Dongdong Zhang, Jinlong Li, Furu Wei:
SMDT: Selective Memory-Augmented Neural Document Translation. - Si-Si Zhang, Jian-wei Liu, Xin Zuo:
Adaptive Online Incremental Learning for Evolving Data Streams. - Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang:
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. - Elias Tappeiner, Martin Welk, Rainer Schubert:
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation. - Nikola Milosevic, Wolfgang Thielemann:
Relationship extraction for knowledge graph creation from biomedical literature. - Lorenzo Veronese, Benjamin Farinier, Mauro Tempesta, Marco Squarcina, Matteo Maffei:
WebSpec: Towards Machine-Checked Analysis of Browser Security Mechanisms. - Susie Xi Rao, Johannes Rausch, Peter H. Egger, Ce Zhang:
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets. - James Brusseau:
From the Ground Truth Up: Doing AI Ethics from Practice to Principles. - Muhammad Ali Farooq, Waseem Shariff, Peter Corcoran:
Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems. - Vincent Mai, Kaustubh Mani, Liam Paull:
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation. - Borzoo Bonakdarpour, Sarai Sheinvald:
Finite-Word Hyperlanguages. - Sebastian L. Fuchs, Patrick M. Praegla, Christian J. Cyron, Wolfgang A. Wall, Christoph Meier:
A Versatile SPH Modeling Framework for Coupled Microfluid-Powder Dynamics in Additive Manufacturing: Binder Jetting, Material Jetting, Directed Energy Deposition and Powder Bed Fusion. - Ingvar M. Ziemann, Henrik Sandberg:
Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems. - Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto:
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. - Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang:
Dynamic GPU Energy Optimization for Machine Learning Training Workloads. - Lixin Wang, Fuzhou Peng, Xiang Chen, Shidong Zhou:
Optimal Update for Energy Harvesting Sensor with Reliable Backup Energy. - Daniel Diethei, Ashley Colley, Julian Wienert, Johannes Schöning:
Different Length, Different Needs: Qualitative Analysis of Threads in Online Health Communities. - Diptesh Kanojia, Malhar Kulkarni, Sayali Ghodekar, Eivind Kahrs, Pushpak Bhattacharyya:
Strategies of Effective Digitization of Commentaries and Sub-commentaries: Towards the Construction of Textual History. - Aamo Iorliam, Orgem Emmanuel, Yahaya Isah Shehu:
An Investigation of "Benford's" Law Divergence and Machine Learning Techniques for "Intra-Class" Separability of Fingerprint Images. - Swaraja Salaskar, Diptesh Kanojia, Malhar Kulkarni:
Some Strategies to Capture Karaka-Yogyata with Special Reference to apadana. - Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. - Saurabh Kumar, Nishant Sinha:
Probing TryOnGAN. - Avi Chawla:
Multi Document Reading Comprehension. - Zhaonan Dong, Alexandre Ern, Jean-Luc Guermond:
Local decay rates of best-approximation errors using vector-valued finite elements for fields with low regularity and integrable curl or divergence. - Samuil Stoychev, Hatice Gunes:
The Effect of Model Compression on Fairness in Facial Expression Recognition. - Marcin Aftowicz, Ievgen Kabin, Dan Klann, Yauhen Varabei, Zoya Dyka, Peter Langendoerfer:
Horizontal SCA Attacks against kP Algorithm Using K-Means and PCA. - Stav Ashur, Sariel Har-Peled:
Local Spanners Revisited. - Marcin Aftowicz, Ievgen Kabin, Zoya Dyka, Peter Langendoerfer:
Clustering versus Statistical Analysis for SCA: when Machine Learning is Better. - David Barina:
X3: Lossless Data Compressor. - Fabio Cuzzolin:
The intersection probability: betting with probability intervals. - Antonio Finozzi, Francesco Sanfedino, Daniel Alazard:
Sub-Structuring Modeling of Large Space Truss Structures for Structure/Control Optimization in Presence of Parametric Uncertainties. - Cem Okan Yaldiz, Yildiray Yildiz:
Modeling Human Driver Interactions Using an Infinite Policy Space Through Gaussian Processes. - Michael A. Bender, Martin Farach-Colton, William Kuszmaul:
What Does Dynamic Optimality Mean in External Memory? - John Alex, Keith B. Hall, Donald Metzler:
Atomized Search Length: Beyond User Models. - Kevin Patel, Diptesh Kanojia, Pushpak Bhattacharyya:
Semi-automatic WordNet Linking using Word Embeddings. - Hunmin Lee, Jaya Krishna Mandivarapu, Nahom Ogbazghi, Yingshu Li:
Real-time Interface Control with Motion Gesture Recognition based on Non-contact Capacitive Sensing. - Eitan Frachtenberg, Rhody D. Kaner:
Underrepresentation of women in computer systems research. - Yang Zhou, Jiuhong Xiao, Yue Zhou, Giuseppe Loianno:
Multi-Robot Collaborative Perception with Graph Neural Networks. - Bowen Shi, Wei-Ning Hsu, Abdelrahman Mohamed:
Robust Self-Supervised Audio-Visual Speech Recognition. - Tim von Hahn, Chris K. Mechefske:
Knowledge Informed Machine Learning using a Weibull-based Loss Function. - Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. - Dorian Desblancs:
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning. - Cheng Zhan, Licheng Zhang, Xin Zhao, Chang-Chun Lee, Shujiao Huang:
Neural Architecture Search for Inversion. - Matthias von Davier, Lillian Tyack, Lale Khorramdel:
Automated Scoring of Graphical Open-Ended Responses Using Artificial Neural Networks. - Nicolas Gontier, Siva Reddy, Christopher Pal:
Does entity abstraction help generative Transformers reason? - Claudio Fantinuoli, Giulia Marchesini, David Landan, Lukas Horak:
KUDO Interpreter Assist: Automated Real-time Support for Remote Interpretation. - Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza:
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network. - Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga:
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation. - Imen Bouabdallah, Hakima Mellah:
Handling Trust in A Cloud Based Multi Agent System. - Kamil Erdayandi, Amrit Paudel, Lucas C. Cordeiro, Mustafa A. Mustafa:
Privacy-Friendly Peer-to-Peer Energy Trading: A Game Theoretical Approach. - Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. - Benjamin Decardi-Nelson, Jinfeng Liu:
Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking. - Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi:
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. - Kavya Kopparapu, Edgar A. Duéñez-Guzmán, Jayd Matyas, Alexander Sasha Vezhnevets, John P. Agapiou, Kevin R. McKee, Richard Everett, Janusz Marecki, Joel Z. Leibo, Thore Graepel:
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria. - Diana Kim, Ahmed Elgammal, Marian Mazzone:
Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models. - Davis Arthur, Prasanna Date:
A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification. - Celina Hanouti, Hervé Le Borgne:
Learning Semantic Ambiguities for Zero-Shot Learning. - Itay Levinas, Yoram Louzoun:
Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine Learning. - Jianbang Liu, Song Bo, Benjamin Decardi-Nelson, Jinfeng Liu, Jingtao Hu, Tao Zou:
Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise. - Alexandre Boulch, Renaud Marlet:
POCO: Point Convolution for Surface Reconstruction. - Makan Zamanipour:
A Game Theoretical Analysis on the Gray-Wyner System and Generalised Common Information. - Deniz Gurevin, Chenglu Jin, Phuong Ha Nguyen, Omer Khan, Marten van Dijk:
Secure Remote Attestation with Strong Key Insulation Guarantees. - Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau:
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. - Zheng Xin Yong, Patrick D. Watson, Tiago Timponi Torrent, Oliver Czulo, Collin F. Baker:
Frame Shift Prediction. - Makan Zamanipour:
A Theoretically Novel Trade-off for Sparse Secret-key Generation. - Makan Zamanipour:
Secrecy Outage Probability: Revisited. - Makan Zamanipour:
Adversarial Robustness in Cognitive Radio Networks. - Makan Zamanipour:
Novel Information-theoretic Game-theoretical Insights to Broadcasting in Internet-of-UAVs. - Sariel Har-Peled, Eliot Wong Robson:
Sparsifying Disk Intersection Graphs for Reliable Connectivity. - Zoey Liu, Emily Prud'hommeaux:
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation. - Xinyu Fu, Valeria V. Krzhizhanovskaya, Alexey N. Yakovlev, Sergey V. Kovalchuk:
Modelling Hospital Strategies in City-Scale Ambulance Dispatching. - Sariel Har-Peled, Everett Yang:
Approximation Algorithms for Maximum Matchings in Geometric Intersection Graphs. - Giulio Rossolini, Federico Nesti, Gianluca D'Amico, Saasha Nair, Alessandro Biondi, Giorgio C. Buttazzo:
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving. - Mengda Xu, Sumitra Ganesh, Pranay Pasula:
Mixture of basis for interpretable continual learning with distribution shifts. - Yongho Kim, Yongho Choi:
FCNN: Five-point stencil CNN for solving reaction-diffusion equations. - Pieter Robberechts, Wannes Meert, Jesse Davis:
Elastic Product Quantization for Time Series. - Solomon Negussie Tesema, El-Bay Bourennane:
Multi-Grid Redundant Bounding Box Annotation for Accurate Object Detection. - Taras Rumezhak, Oles Dobosevych, Rostyslav Hryniv, Vladyslav Selotkin, Volodymyr Karpiv, Mykola Maksymenko:
Towards realistic symmetry-based completion of previously unseen point clouds. - Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs. - Zhe Shen, Takeshi Tsuchiya:
Gait Analysis for A Tilt-rotor: The Dynamic Invertible Gait. - Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
DeepMLS: Geometry-Aware Control Point Deformation. - Igor Halperin, Jiayu Liu, Xiao Zhang:
Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations. - Huanfei Zheng, Jonathon M. Smereka, Dariusz Mikluski, Yue Wang:
Bayesian Optimization Based Trustworthiness Model for Multi-robot Bounding Overwatch. - Xiangci Li, Jessica Ouyang:
Automatic Related Work Generation: A Meta Study. - Huanfei Zheng, Jonathon M. Smereka, Dariusz G. Mikulski, Stephanie Roth, Yue Wang:
Trust-based Symbolic Motion Planning for Multi-robot Bounding Overwatch. - Jaehoon Cho, Seungryong Kim, Kwanghoon Sohn:
Memory-guided Image De-raining Using Time-Lapse Data. - Haley Adams, Holly C. Gagnon, Sarah H. Creem-Regehr, Jeanine K. Stefanucci, Bobby Bodenheimer:
Stay in Touch! Shape and Shadow Influence Surface Contact in XR Displays. - Qilong Huang, Li Yang, Yaowen Qi:
Event-based EV Charging Scheduling in A Microgrid of Buildings. - Weili Wang, Chengchao Liang, Qianbin Chen, Lun Tang, Halim Yanikomeroglu:
Distributed Online Anomaly Detection for Virtualized Network Slicing Environment. - John Seon Keun Yi, Yoonwoo Kim, Sonia Chernova:
Incremental Object Grounding Using Scene Graphs. - Yueyang Liu, Adithya M. Devraj, Benjamin Van Roy, Kuang Xu:
Gaussian Imagination in Bandit Learning. - Thad A. Gleason, Eric L. Peters, John A. Evans:
A Divergence-Conforming Hybridized Discontinuous Galerkin Method for the Incompressible Magnetohydrodynamics Equations. - Dinh Dung, Van Kien Nguyen, Christoph Schwab, Jakob Zech:
Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs. - Changqing Ye, Eric T. Chung:
Numerical analysis of several FFT-based schemes for computational homogenization. - Zengyi Qin, Dawei Sun, Chuchu Fan:
SABLAS: Learning Safe Control for Black-box Dynamical Systems. - Zhaoyang Wang, Ping Lin:
A temporal multiscale method and its analysis for a system of fractional differential equations. - Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto:
Contrastive Neighborhood Alignment. - Mahmoud S. Fayed:
Network Generations and the Security Challenge in IoT Applications. - Hao Jiang, Calvin Murdock, Vamsi Krishna Ithapu:
Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization. - Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Weidong Cai:
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement. - Mrinmoy Datta, Trygve Johnsen:
Codes from symmetric polynomials. - Gustavo Silvera, Abhijat Biswas, Henny Admoni:
DReyeVR: Democratizing Virtual Reality Driving Simulation for Behavioural & Interaction Research. - Chavit Denninnart, Mohsen Amini Salehi:
SMSE: A Serverless Platform for Multimedia Cloud Systems. - Yuanpeng Li, Joel Hestness, Mohamed Elhoseiny, Liang Zhao, Kenneth Church:
Efficiently Disentangle Causal Representations. - Jaydip Sen, Sidra Mehtab, Rajdeep Sen, Abhishek Dutta, Pooja Kherwa, Saheel Ahmed, Pranay Berry, Sahil Khurana, Sonali Singh, David W. W. Cadotte, David W. Anderson, Kalum J. Ost, Racheal S. Akinbo, Oladunni A. Daramola, Bongs Lainjo:
Machine Learning: Algorithms, Models, and Applications. - Faheem Ullah, Shagun Dhingra, Xiaoyu Xia, Muhammad Ali Babar:
Evaluation of Distributed Data Processing Frameworks in Hybrid Clouds. - Mikhail Moshkov:
Decision trees for regular factorial languages. - Yang Long, Gui-Song Xia, Liangpei Zhang, Gong Cheng, Deren Li:
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling. - Ali Jadbabaie, Anuran Makur, Devavrat Shah:
Federated Optimization of Smooth Loss Functions. - György Orosz, Zsolt Szántó, Péter Berkecz, Gergo Szabó, Richárd Farkas:
HuSpaCy: an industrial-strength Hungarian natural language processing toolkit. - Rana Shahout, Roy Friedman, Ran Ben Basat:
SQUAD: Combining Sketching and Sampling Is Better than Either for Per-item Quantile Estimation. - Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang:
Balancing Generalization and Specialization in Zero-shot Learning. - Yatong Bai, Tanmay Gautam, Somayeh Sojoudi:
Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time Algorithms and Adversarial Training. - Li Zhao, Chunsheng Feng, Chen-Song Zhang, Shi Shu:
Parallel Multi-Stage Preconditioners with Adaptive Setup for the Black Oil Model. - Aditya Kumar Singh, B. Uma Shankar:
Multi-Label Classification on Remote-Sensing Images. - Faheem Ullah, Imaduddin Mohammed, Muhammad Ali Babar:
A Framework for Energy-aware Evaluation of Distributed Data Processing Platforms in Edge-Cloud Environment. - Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao:
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection. - Matan Ostrovsky, Clark W. Barrett, Guy Katz:
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks. - Lu Yang, Lingqiao Liu, Yunlong Wang, Peng Wang, Yanning Zhang:
Multi-Domain Joint Training for Person Re-Identification. - Yuanen Zhou, Zhenzhen Hu, Daqing Liu, Huixia Ben, Meng Wang:
Compact Bidirectional Transformer for Image Captioning. - Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes:
Jointly Efficient and Optimal Algorithms for Logistic Bandits. - Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo:
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? - Minghui Xu, Zongrui Zou, Ye Cheng, Qin Hu, Dongxiao Yu, Xiuzhen Cheng:
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning. - Nyaura Mwinyi Kibinda, Xiaohu Ge:
User-Centric Cooperative Transmissions-enabled Handover for Ultra-Dense Networks. - Jinchuan Tian, Jianwei Yu, Chao Weng, Yuexian Zou, Dong Yu:
Improving Mandarin End-to-End Speech Recognition with Word N-gram Language Model. - Yota Minami, Ken Kaneiwa:
Skip Vectors for RDF Data: Extraction Based on the Complexity of Feature Patterns. - Tung Minh Phung, Jan Cloos:
An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks. - Ruotong Wang, Yanqing Shen, Weiliang Zuo, Sanping Zhou, Nanning Zheng:
TransVPR: Transformer-based place recognition with multi-level attention aggregation. - Mehrdad Kiamari, Bhaskar Krishnamachari, Muhammad Naveed, Seokgu Yun:
Blizzard: a Distributed Consensus Protocol for Mobile Devices. - Philip J. Purnell:
A comparison of different methods of identifying publications related to the United Nations Sustainable Development Goals: Case Study of SDG 13: Climate Action. - Zoya Dyka, Dan Kreiser, Ievgen Kabin, Peter Langendoerfer:
Flexible FPGA ECDSA Design with a Field Multiplier Inherently Resistant against HCCA. - Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru, Charles Wachira, Isaiah Onando Mulang', Vibha Anand, Aisha Walcott-Bryant, Skyler Speakman:
Sparsity-based Feature Selection for Anomalous Subgroup Discovery. - Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Furu Wei:
Phrase-level Adversarial Example Generation for Neural Machine Translation. - Xiaofeng Yang, Fengmao Lv, Fayao Liu, Guosheng Lin:
Self-Training Vision Language BERTs with a Unified Conditional Model. - Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Katja Schladitz:
An unambiguous cloudiness index for nonwovens. - Wentu Song, Kui Cai, Tuan Thanh Nguyen:
List-decodable Codes for Single-deletion Single-substitution with List-size Two. - Ameya Dhamanaskar, Mariella Dimiccoli, Enric Corona, Albert Pumarola, Francesc Moreno-Noguer:
Enhancing Egocentric 3D Pose Estimation with Third Person Views. - Mahyar Tourchi Moghaddam, Henry Muccini, Julie Dugdale, Mikkel Baun Kjærgaard:
Designing Internet of Behaviors Systems. - Manuel Bogoya, Sven-Erik Ekström, Stefano Serra-Capizzano:
Fast Toeplitz eigenvalue computations, joining interpolation-extrapolation matrix-less algorithms and simple-loop theory. - Zhiwei Wang, Yaoyu Zhang, Yiguang Ju, Weinan E, Zhi-Qin John Xu, Tianhan Zhang:
A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics. - Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim:
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. - Maximilian Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus:
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. - Jiashu Lu, Yufeng Nie:
Convergence analysis of the Jacobi spectral collocation methods for weakly singular nonlocal diffusion equations with volume constraints. - V Arvind Rameshwar, Navin Kashyap:
On the Performance of Reed-Muller Codes Over (d, ∞)-RLL Input-Constrained BMS Channels. - Hugo Schnoering, Hugo Inzirillo:
Deep Fusion of Lead-lag Graphs: Application to Cryptocurrencies. - Daniel Lehmann:
Non-associative and projective linear logics. - Xuan-Huy Pham, Mazen Alamir, François Bonne:
Investigation of fast-NMPC and deep learning approach in fixed-point-based hierarchical control. - Xishuang Dong, Lijun Qian:
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. - Bohdan M. Pavlyshenko:
Forming Predictive Features of Tweets for Decision-Making Support. - Pierre Le Jeune, Anissa Mokraoui:
A Unified Framework for Attention-Based Few-Shot Object Detection. - Qiang Li, Miaowen Wen, Ertugrul Basar, George C. Alexandropoulos, Kyeong Jin Kim, H. Vincent Poor:
Cyclic-Prefixed Single-Carrier Transmission for RIS-Empowered Broadband Wireless Systems. - Kristóf Bérczi, Matthias Mnich, Roland Vincze:
Efficient Approximations for Many-Visits Multiple Traveling Salesman Problems. - He Liu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li:
GLAN: A Graph-based Linear Assignment Network. - Bohdan M. Pavlyshenko:
Sales Time Series Analytics Using Deep Q-Learning. - Abada Abderrahmane, Bin Yang, Tarik Taleb:
Traffic Flow Modeling for UAV-Enabled Wireless Networks. - Ilias Benkacem, Miloud Bagaa, Tarik Taleb, Quang Ngoc Nguyen, Toshitaka Tsuda, Takuro Sato:
Integrated ICN and CDN Slice as a Service. - Hajar Hantouti, Nabil Benamar, Miloud Bagaa, Tarik Taleb:
Symmetry-aware SFC Framework for 5G Networks. - Cleison Correia de Amorim, Cleber Zanchettin:
ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language. - Omar Khadir:
A simple coding-decoding algorithm for the Hamming code. - Richard J. Licata, Piyush M. Mehta:
Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application. - Etienne Meunier, Anaïs Badoual, Patrick Bouthemy:
EM-driven unsupervised learning for efficient motion segmentation. - Mujeen Sung, Minbyul Jeong, Yonghwa Choi, Donghyeon Kim, Jinhyuk Lee, Jaewoo Kang:
BERN2: an advanced neural biomedical named entity recognition and normalization tool. - Xingyu Zhou, Keke Ying, Zhen Gao, Yongpeng Wu, Zhenyu Xiao, Symeon Chatzinotas, Jinhong Yuan, Björn E. Ottersten:
Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-Things. - Yaochen Zhu, Jing Yi, Jiayi Xie, Zhenzhong Chen:
Deep Causal Reasoning for Recommendations. - Juan Cruz Viotti, Mital Kinderkhedia:
A Survey of JSON-compatible Binary Serialization Specifications. - Anusree Rajan, Pavankumar Tallapragada:
Analysis of Inter-Event Times in Linear Systems under Event-Triggered or Self-Triggered Control. - Mirajul Islam, Nushrat Jahan Ria, Jannatul Ferdous Ani, Abu Kaisar Mohammad Masum, Sheikh Abujar, Syed Akhter Hossain:
Deep Learning Based Classification System For Recognizing Local Spinach. - Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim:
Implementing simple spectral denoising for environmental audio recordings. - Poonam Parhar, Ryan Sawasaki, Alberto Todeschini, Colorado Reed, Hossein Vahabi, Nathan Nusaputra, Felipe Vergara:
HyperionSolarNet: Solar Panel Detection from Aerial Images. - Dillon J. Lohr, Oleg V. Komogortsev:
Eye Know You Too: A DenseNet Architecture for End-to-end Biometric Authentication via Eye Movements. - José Bonet, José Bonet:
ConTrip: Consensus Sentiment review Analysis and Platform ratings in a single score. - Md Mahadi Hasan Sany, Mumenunnessa Keya, Sharun Akter Khushbu, A. K. M. Shahariar Azad Rabby, Abu Kaisar Mohammad Masum:
An Opinion Mining of Text in COVID-19 Issues along with Comparative Study in ML, BERT & RNN. - Thomas E. Anderson, Adam Belay, Mosharaf Chowdhury, Asaf Cidon, Irene Zhang:
Treehouse: A Case For Carbon-Aware Datacenter Software. - Anne Driemel, Ivor van der Hoog, Eva Rotenberg:
On the Discrete Fréchet Distance in a Graph. - Arpit Khare, Amisha Gangwar, Sudhakar Singh, Shiv Prakash:
Sentiment Analysis and Sarcasm Detection of Indian General Election Tweets. - Kusuma Priya P., Pavan Reddy Manne, Abhinav Kumar:
Spectral and Energy Efficient User Pairing for RIS-assisted Uplink NOMA Systems with Imperfect Phase Compensation. - Aske Plaat:
Deep Reinforcement Learning. - Bilge Kaan Karamete, Louaï Adhami, Eli Glaser:
A fixed storage distributed graph database hybrid with at-scale OLAP expression and I/O support of a relational DB: Kinetica-Graph. - Siawpeng Er, Edward Liu, Minshuo Chen, Yan Li, Yuqi Liu, Tuo Zhao, Hua Wang:
Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network. - Lei Cheng, Ruslan Khalitov, Tong Yu, Zhirong Yang:
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks. - Philipp Grüning, Erhardt Barth:
Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks. - Oliver Fischer, Yasunori Toshimitsu, Amirhossein Kazemipour, Robert K. Katzschmann:
Dynamic Control of Soft Manipulators to Perform Real-World Tasks. - Peter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva:
Topological Representations of Local Explanations. - Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting. - Filippo Vannella, Alexandre Proutière, Yassir Jedra, Jaeseong Jeong:
Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach. - Alethea Power, Yuri Burda, Harri Edwards, Igor Babuschkin, Vedant Misra:
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets. - Ruslan Nikolaev, Binoy Ravindran:
wCQ: A Fast Wait-Free Queue with Bounded Memory Usage. - Biruk Asmare Muse, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol:
FIXME: Synchronize with Database An Empirical Study of Data Access Self-Admitted Technical Debt. - Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic:
Admissible Policy Teaching through Reward Design. - Mohsen Jafarzadeh, Stephen Brooks, Shimeng Yu, Balakrishnan Prabhakaran, Yonas Tadesse:
A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture. - Håkon Hukkelås, Morten Smebye, Rudolf Mester, Frank Lindseth:
Realistic Full-Body Anonymization with Surface-Guided GANs. - Md. Noor-A-Rahim, Fadhil Firyaguna, Jobish John, Mohammad Omar Khyam, Dirk Pesch, Eddie Armstrong, Holger Claussen, H. Vincent Poor:
Towards Industry 5.0: Intelligent Reflecting Surface (IRS) in Smart Manufacturing. - Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol:
On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems. - Huaiqian You, Yue Yu, Marta D'Elia, Tian Gao, Stewart Silling:
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network. - Adrien Meynard, Gayan Seneviratna, Elliot Doyle, Joyanne Becker, Hau-Tieng Wu, Jana Schaich Borg:
Predicting Trust Using Automated Assessment of Multivariate Interactional Synchrony. - Ildar Rakhmatulin, Sebastian Volkl:
PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals. - Aparna Elangovan, Yuan Li, Douglas E. V. Pires, Melissa J. Davis, Karin Verspoor:
Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT. - Xuan Luo, Zhen Han, Lingkang Yang, Lingling Zhang:
Consistent Style Transfer. - Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta:
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. - Tauheed Khan Mohd, Jackson Carvalho, Ahmad Y. Javaid:
Multi-modal data fusion of Voice and EMG data for Robotic Control. - Tanushree Roy, Ashley Knichel, Satadru Dey:
An Input-to-State Safety Approach to Anomaly-Resilient Parabolic PDEs: Application to Cyber-Physical Battery Modules. - Fabrizio d'Amore, Lorenzo Zarfati:
Source Code Anti-Plagiarism: a C# Implementation using the Routing Approach. - Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis, Asger Ullersted Rasmussen, Josef Tkadlec:
Fixation Maximization in the Positional Moran Process. - Hussam Al Daas, Pierre Jolivet, Tyrone Rees:
Efficient Algebraic Two-Level Schwarz Preconditioner For Sparse Matrices. - Ryan Handley, Bert Guerra, Rukkmini Goli, Douglas Zytko:
A Taxonomy of Social VR Design. - Seth Karten, Aravind Sivaramakrishnan, Edgar Granados, Troy McMahon, Kostas E. Bekris:
Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation. - David A. Broniatowski:
Applying Word Embeddings to Measure Valence in Information Operations Targeting Journalists in Brazil. - Maryam Hosseini, Fabio Miranda, Jianzhe Lin, Cláudio T. Silva:
CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials. - Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui:
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models. - Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter:
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks. - Jamie Hayes, Borja Balle, M. Pawan Kumar:
Learning to be adversarially robust and differentially private. - Sherlock A. Licorish, Helen E. Owen, Bastin Tony Roy Savarimuthu, Priyanka Patel:
Investigating Expectation Violations in Mobile Apps. - Felix Wimbauer, Shangzhe Wu, Christian Rupprecht:
De-rendering 3D Objects in the Wild. - Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang:
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping. - Ali Abdollahi, Jianwei Li, Xiaojun Li, Trevor Jones, Asif Habeebullah:
Voltage-Based State of Charge Correction at Charge-End. - Haiquan Lu, Yong Zeng:
Delay Alignment Modulation: Enabling Equalization-Free Single-Carrier Communication. - Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey. - Sachin Konan, Kevin J. Liang, Li Yin:
Extending One-Stage Detection with Open-World Proposals. - Tianhua Zhu:
From Textual Experiments to Experimental Texts: Expressive Repetition in "Artificial Intelligence Literature". - Shipeng Yan, Songyang Zhang, Xuming He:
Budget-aware Few-shot Learning via Graph Convolutional Network. - Quan Feng, Songcan Chen:
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task. - Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. - Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. - Nikolai Vogler, Songlin Li, Yujie Xu, Yujian Mi, Taylor Berg-Kirkpatrick:
An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization. - Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedic:
Distributed Nash Equilibrium Seeking over Time-Varying Directed Communication Networks. - Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu, Xiangnan He:
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. - Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee:
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection. - Mo Liu:
Decision problem of some bundled FOML fragments. - Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, Yvonne Kammerer, Ralph Ewerth:
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search. - Zhiyuan Chen, Soon Boon Lee, Shazia Paras Shaikh, Mirza Rayana Sanzana:
The Study of Peer Assessment Impact on Group Learning Activities. - Hampei Sasahara, Henrik Sandberg:
Asymptotic Security using Bayesian Defense Mechanisms with Application to Cyber Deception. - Rajashekhar V. S, Debasish Ghose:
Degrees of Freedom Analysis of Mechanisms using the New Zebra Crossing Method. - Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee:
GenLabel: Mixup Relabeling using Generative Models. - Yinjie Zhao, Xin Kang, Tieyan Li, Cheng-Kang Chu, Haiguang Wang:
Towards Trustworthy DeFi Oracles: Past, Present and Future. - Pengxiang Su, Zhenguang Liu, Shuang Wu, Lei Zhu, Yifang Yin, Xuanjing Shen:
Motion Prediction via Joint Dependency Modeling in Phase Space. - Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang:
Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining. - Shanthika Naik, Aryamaan Jain, Avinash Sharma, Krishnan Sundara Rajan:
Deep Generative Framework for Interactive 3D Terrain Authoring and Manipulation. - Jakub Grudzien Kuba, Christian Schröder de Witt, Jakob N. Foerster:
Mirror Learning: A Unifying Framework of Policy Optimisation. - Fanchao Zhong, Yonglai Xu, Haisen Zhao, Lin Lu:
As-Continuous-As-Possible Ceramics Printing for Shell Models. - Mayuresh Kunjir, Sanjay Chawla:
Offline Reinforcement Learning for Road Traffic Control. - Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern:
The Defeat of the Winograd Schema Challenge. - Ievgen Kabin, Zoya Dyka, Dan Kreiser, Peter Langendoerfer:
Methods for Increasing the Resistance of Cryptographic Designs against Horizontal DPA Attacks. - Markku Suomalainen, Basak Sakcak, Adhi Widagdo, Juho Kalliokoski, Katherine J. Mimnaugh, Alexis P. Chambers, Timo Ojala, Steven M. LaValle:
Unwinding Rotations Improves User Comfort with Immersive Telepresence Robots. - Alvise Sommariva, Marco Vianello:
InRS: implementing the indicator function of NURBS-shaped planar domains. - Astrid Orcesi, Romaric Audigier, Fritz Poka Toukam, Bertrand Luvison:
Detecting Human-to-Human-or-Object (H2O) Interactions with DIABOLO. - Mark Kiermayer, Christian Weiß:
Neural calibration of hidden inhomogeneous Markov chains - Information decompression in life insurance. - Karl Bringmann, Nofar Carmeli, Stefan Mengel:
Tight Fine-Grained Bounds for Direct Access on Join Queries. - Jingwen Zhang, Yuezhou Wu, Rong Pan:
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement. - Soraia M. Alarcão, André Santana, Carolina Maruta, Manuel J. Fonseca:
Developing Assistive Technology to Support Reminiscence Therapy: A User-Centered Study to Identify Caregivers' Needs. - Tiezheng Yu, Rita Frieske, Peng Xu, Samuel Cahyawijaya, Cheuk Tung Shadow Yiu, Holy Lovenia, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung:
Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset. - Pierre Browne, Aranildo Lima, Rossella Arcucci, César Quilodrán Casas:
Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations. - Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. - Yin Zhi Ng, Benjamin Choi, Robby T. Tan, Lionel Heng:
Continuous-time Radar-inertial Odometry for Automotive Radars. - Masahito Hayashi:
Bregman divergence based em algorithm and its application to classical and quantum rate distortion theory. - Paolo Pellizzoni, Andrea Pietracaprina, Geppino Pucci:
k-Center Clustering with Outliers in Sliding Windows. - Andrew R. Spielvogel, Abhimanyu S. Shah, Louis L. Whitcomb:
Online 3-Axis Magnetometer Hard-Iron and Soft-Iron Bias and Angular Velocity Sensor Bias Estimation Using Angular Velocity Sensors for Improved Dynamic Heading Accuracy. - Masahito Hayashi:
Analytical calculation formulas for capacities of classical and classical-quantum channels. - Pallavi Bagga, Nicola Paoletti, Kostas Stathis:
Deep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation. - Christian Ponte-Fernández, Jorge González-Domínguez, María J. Martín:
A SIMD algorithm for the detection of epistatic interactions of any order. - Florian Merchie, Damien Ernst:
Churn prediction in online gambling. - Omer Sabary, Daniella Bar-Lev, Yotam Gershon, Alexander Yucovich, Eitan Yaakobi:
On The Decoding Error Weight of One or Two Deletion Channels. - Michele Bennett, Karin Hayes, Ewa J. Kleczyk, Rajesh Mehta:
Similarities and Differences between Machine Learning and Traditional Advanced Statistical Modeling in Healthcare Analytics. - Massimiliano Luca, Bruno Lepri, Enrique Frías-Martínez, Andra Lutu:
Modeling International Mobility using Roaming Cell Phone Traces during COVID-19 Pandemic. - Ching-Chun Chang:
Bayesian Neural Networks for Reversible Steganography. - Anastasia Natsiou, Seán O'Leary:
A sinusoidal signal reconstruction method for the inversion of the mel-spectrogram. - Ann-Kathrin Dombrowski, Klaus-Robert Müller, Wolf-Christian Müller:
Automated Dissipation Control for Turbulence Simulation with Shell Models. - Alberto Del Pia:
Sparse PCA on fixed-rank matrices. - Ailisi Li, Jiaqing Liang, Yanghua Xiao:
Semantic-based Data Augmentation for Math Word Problems. - Anastasia Natsiou, Seán O'Leary:
Audio representations for deep learning in sound synthesis: A review. - Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang:
Video Summarization Based on Video-text Modelling. - Amanda Cardoso Duarte, Samuel Albanie, Xavier Giró-i-Nieto, Gül Varol:
Sign Language Video Retrieval with Free-Form Textual Queries. - Doan Duy Vo, Russell Butler:
A Review of Deep Learning Techniques for Markerless Human Motion on Synthetic Datasets. - Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong:
Repairing Adversarial Texts through Perturbation. - Navod Neranjan Thilakarathne, Rohan Samarasinghe, W. D. Madhuka Priyashan:
Evaluation of Cyber Attacks Targeting Internet Facing IoT : An Experimental Evaluation. - Qiuhao Lu, Thien Huu Nguyen, Dejing Dou:
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. - Dmitry Kosolobov:
The Efficiency of the ANS Entropy Encoding. - Sungrim Moon, Huan He, Hongfang Liu, Jungwei Fan:
RxWhyQA: a clinical question-answering dataset with the challenge of multi-answer questions. - Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu:
Learning Target-aware Representation for Visual Tracking via Informative Interactions. - Zhengfei Kuang, Kyle Olszewski, Menglei Chai, Zeng Huang, Panos Achlioptas, Sergey Tulyakov:
NeROIC: Neural Rendering of Objects from Online Image Collections. - Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu:
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. - Nandan Meda:
Improving Surrogate Gradient Learning in Spiking Neural Networks via Regularization and Normalization. - Amir Hussein, Shammur Absar Chowdhury, Ahmed Abdelali, Najim Dehak, Ahmed Ali:
Code-Switching Text Augmentation for Multilingual Speech Processing. - Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden:
On robust risk-based active-learning algorithms for enhanced decision support. - Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren:
In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations. - Ella Dagan, Ana Cárdenas Gasca, Ava Robinson, Anwar Noriega, Yu Jiang Tham, Rajan Vaish, Andrés Monroy-Hernández:
Project IRL: Playful Co-Located Interactions with Mobile Augmented Reality. - Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. - Karthik Viswanathan, Abbas Yazdinejad:
Security Considerations for Virtual Reality Systems. - Christian Pfeiffer, Simon Wengeler, Antonio Loquercio, Davide Scaramuzza:
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents. - Dmitry Ivanov, Mikhail Kiselev, Denis A. Larionov:
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations. - Mohamed-Amine Lahmeri, Mustafa A. Kishk, Mohamed-Slim Alouini:
Charging Techniques for UAV-assisted Data Collection: Is Laser Power Beaming the Answer? - Tiago Ferreira, Harrison Brewton, Loris D'Antoni, Alexandra Silva:
Prognosis: Closed-Box Analysis of Network Protocol Implementations. - Neelkamal Bhuyan, Sharayu Moharir:
Multi-Model Federated Learning. - Weiyun Jiang, Yukai Yang, Yogananda Isukapalli:
Elephant-Human Conflict Mitigation: An Autonomous UAV Approach. - Javed Iqbal, Rehan Hafiz, Mohsen Ali:
Combining Scale-Invariance and Uncertainty for Self-Supervised Domain Adaptation of Foggy Scenes Segmentation. - Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo:
Equalized Focal Loss for Dense Long-Tailed Object Detection. - Zhendong Ma:
Apples and Cars: a Comparison of Security. - Jens Markus Melenk, Stefan A. Sauter:
Wavenumber-explicit hp-FEM analysis for Maxwell's equations with impedance boundary conditions. - Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra:
Detecting Twenty-thousand Classes using Image-level Supervision. - Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Generalized Category Discovery. - Javier Romero, Dimitrios Tzionas, Michael J. Black:
Embodied Hands: Modeling and Capturing Hands and Bodies Together. - Tariku Adane Gelaw, Misgina Tsighe Hagos:
Posture Prediction for Healthy Sitting using a Smart Chair. - Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu:
Compressing Models with Few Samples: Mimicking then Replacing. - Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun:
Spatio-Temporal Graph Representation Learning for Fraudster Group Detection. - Zhiming Lin:
Neighbor2vec: an efficient and effective method for Graph Embedding. - Raviteja Chunduru, Doina Precup:
Attention Option-Critic. - Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. - Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie:
Data-Efficient Information Extraction from Form-Like Documents. - Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang:
Fair and efficient contribution valuation for vertical federated learning. - Muhan Hou, Zonghao Mu, Jing Li, Qizhi Yu, Jason Gu:
A Multi-Behavior Planning Framework for Robot Guide. - Ainaz Hajimoradlou, Mehran Kazemi:
Stay Positive: Knowledge Graph Embedding Without Negative Sampling. - Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz:
Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models. - Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný:
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory. - Pablo Moriano, Robert A. Bridges, Michael D. Iannacone:
Detecting CAN Masquerade Attacks with Signal Clustering Similarity. - Michael Shekelyan, Graham Cormode, Peter Triantafillou, Ali Mohammadi Shanghooshabad, Qingzhi Ma:
Weighted Random Sampling over Joins. - Md. Rayid Hasan Mojumder:
Tunable electronic properties of germanene and two-dimensional group-III phosphides heterobilayers. - Hajra Naeem, Manar H. Alalfi:
Predicting sensitive information leakage in IoT applications using flows-aware machine learning approach. - Yi Jiang, Jun Liu, Xiang-Sheng Wang:
A Direct Parallel-in-Time Quasi-Boundary Value Method for Inverse Space-Dependent Source Problems. - Tuan Dinh, Daewon Seo, Zhixu Du, Liang Shang, Kangwook Lee:
Improved Input Reprogramming for GAN Conditioning. - Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia:
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. - Omid Mohaddesi, Jacqueline A. Griffin, Özlem Ergun, David R. Kaeli, Stacy Marsella, Casper Harteveld:
To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages. - Abhijith Sharma, Chaitanya Jugade, Shreya Yawalkar, Vaishali Patne, Deepak Ingole, Dayaram N. Sonawane:
Embedded Model Predictive Control Using Robust Penalty Method. - Musa Atas, Ayhan Talay:
Development of Automatic Tree Counting Software from UAV Based Aerial Images With Machine Learning. - Eunice Jun, Audrey Seo, Jeffrey Heer, René Just:
Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships. - Ephrem A. Retta, Eiad Almekhlafi, Richard F. E. Sutcliffe, Mustafa Mhamed, Haider Ali, Jun Feng:
A New Amharic Speech Emotion Dataset and Classification Benchmark. - Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks. - Brian Tang, Dakota Sullivan, Bengisu Cagiltay, Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu:
CONFIDANT: A Privacy Controller for Social Robots. - Xin Jin, Hao Lou, Heng Huang, Xiaodong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li:
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment. - Justin T. Chiu, Yuntian Deng, Alexander M. Rush:
Low-Rank Constraints for Fast Inference in Structured Models. - Arec L. Jamgochian, Kunal Menda, Mykel J. Kochenderfer:
Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning. - Xinyi Yu, Weiqi He, Xuecheng Qian, Yang Yang, Linlin Ou:
Real-time Rail Recognition Based on 3D Point Clouds. - Lingran Xiao, Yanfei Wang, Shiying Li, Lingxi Chen, Shuaicheng Li:
Automatically layout and visualize the biological pathway map with spectral graph theory. - Chafika Benzaïd, Tarik Taleb:
AI for Beyond 5G Networks: A Cyber-Security Defense or Offense Enabler? - Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu:
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. - Aftab Hussain, Sai Durga Prasad Nanduri, Sneha Seenuvasavarathan:
Testing the Robustness of a BiLSTM-based Structural Story Classifier. - Marina Dubova:
Building Human-like Communicative Intelligence: A Grounded Perspective. - Afia Fairoose Abedin, Amirul Islam Al Mamun, Rownak Jahan Nowrin, Amitabha Chakrabarty, Moin Mostakim, Sudip Kumar Naskar:
A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot. - Abbas Raza Ali:
Cognitive Computing to Optimize IT Services. - Yasaswi Sri Chandra Gandhi Kilaru, Indrajit Ghosh:
Traffic event description based on Twitter data using Unsupervised Learning Methods for Indian road conditions. - Harichandana B. S. S, Sumit Kumar:
Adaptive Beam Search to Enhance On-device Abstractive Summarization. - Shane Storks, Qiaozi Gao, Aishwarya N. Reganti, Govind Thattai:
Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts. - Mostafa Rahmani:
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions. - Shan Xu, Chang Xu, Sarah McIntyre, Håkan Olausson, Gregory J. Gerling:
Subtle Contact Nuances in the Delivery of Human-to-Human Touch Distinguish Emotional Sentiment. - Filip Ivancic, Maxim Solovchuk:
Energy stable finite element scheme for simulating flow dynamics of droplets on non-homogeneous surfaces. - Yikang Gui, Ehsan Latif, Ramviyas Parasuraman:
Message Expiration-Based Distributed Multi-Robot Task Management. - Arec L. Jamgochian, Di Wu, Kunal Menda, Soyeon Jung, Mykel J. Kochenderfer:
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand. - Md. Manjurul Ahsan, Zahed Siddique:
Machine Learning-Based Disease Diagnosis: A Bibliometric Analysis. - Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks. - Canze Zhu, Qunying Liao:
Self-orthogonal generalized twisted Reed-Solomon codes. - Wei Ye, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh:
Modeling Human-AI Team Decision Making. - Kun Chen, Dachao Lin, Zhihua Zhang:
Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer. - Hongwen Yu, Hoang Duong Tuan, Eryk Dutkiewicz, H. Vincent Poor, Lajos Hanzo:
RIS-aided Zero-Forcing and Regularized Zero-Forcing Beamforming in Integrated Information and Energy Delivery. - Shitao Tang, Jiahui Zhang, Siyu Zhu, Ping Tan:
QuadTree Attention for Vision Transformers. - Zhixiong Zeng, Wenji Mao:
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval. - Mohammad Lari, Zahra Keshavarz Gandomani:
Effective capacity maximization of two-way full-duplex and half-duplex relays with finite block length packets transmission. - Qi Pang, Yuanyuan Yuan, Shuai Wang, Wenting Zheng:
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems. - Huseyin Afser:
A Baseline Statistical Method For Robust User-Assisted Multiple Segmentation. - Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun:
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction. - Yin-Yin He, Peizhen Zhang, Xiu-Shen Wei, Xiangyu Zhang, Jian Sun:
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance. - Akanksha Jaiswal, Arpan Chattopadhyay, Amokh Varma:
Age-of-information minimization via opportunistic sampling by an energy harvesting source. - Mhd Ghaith Olabi, Juan Gómez-Luna, Onur Mutlu, Wen-Mei W. Hwu, Izzat El Hajj:
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs. - Yu-Chien Lin, Ta-Sung Lee, Zhi Ding:
Deep Learning for Partial MIMO CSI Feedback by Exploiting Channel Temporal Correlation. - Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Chuan Lei:
Scaling Knowledge Graph Embedding Models. - Claudio Fantinuoli, Maddalena Montecchio:
Defining maximum acceptable latency of AI-enhanced CAI tools. - Soraia Figueiredo Paulo, Daniel Medeiros, Daniel S. Lopes, Joaquim Jorge:
Controlling camera movement in VR colonography. - Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen:
A Unified Review of Deep Learning for Automated Medical Coding. - Klaas Kelchtermans, Tinne Tuytelaars:
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues. - Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence. - Pisol Ruenin, Sarayut Techakaew, Patsakorn Towatrakool, Jakarin Chawachat:
A fall alert system with prior-fall activity identification. - Alessandro Mari, Arash Salarian:
A novel audio representation using space filling curves. - Joseph G. Wallwork, Matthew G. Knepley, Nicolas Barral, Matthew D. Piggott:
Parallel Metric-Based Mesh Adaptation in PETSc using ParMmg. - Lovedeep Singh:
Clustering Text Using Attention. - Linghao Chen, He Li, Wenhao Yang:
AnomMAN: Detect Anomaly on Multi-view Attributed Networks. - Wei Chen, Weiqing Wang, Hongzhi Yin, Lei Zhao, Xiaofang Zhou:
HFUL: A Hybrid Framework for User Account Linkage across Location-Aware Social Networks. - Aihuan Yao, Jiahao Qi, Ping Zhong:
Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification. - Nathanael L. Baisa, Bashir Al-Diri:
Mushrooms Detection, Localization and 3D Pose Estimation using RGB-D Sensor for Robotic-picking Applications. - Yanze Liu, Xuhui Chen, Yanhai Du, Rui Liu:
Smart Power Supply for UAV Agility Enhancement Using Deep Neural Networks. - Apostolos Galanopoulos, George Iosifidis, Theodoros Salonidis, Douglas J. Leith:
Selective Edge Computing for Mobile Analytics. - Shicheng Tan, Shu Zhao, Yanping Zhang:
Coherence-Based Distributed Document Representation Learning for Scientific Documents. - Peijun Bao, Yadong Mu:
Learning Sample Importance for Cross-Scenario Video Temporal Grounding. - Helei Qiu, Biao Hou, Bo Ren, Xiaohua Zhang:
Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition. - Gabriel Salomon, Rayson Laroca, David Menotti:
Image-based Automatic Dial Meter Reading in Unconstrained Scenarios. - Mirajul Islam, Jannatul Ferdous Ani, Abdur Rahman, Zakia Zaman:
Fake Hilsa Fish Detection Using Machine Vision. - Elham Cheshmikhani, Hamed Farbeh, Hossein Asadi:
A System-Level Framework for Analytical and Empirical Reliability Exploration of STT-MRAM Caches. - Mayukh Mukhopadhyay, Sangeeta Sahney:
Effect of Toxic Review Content on Overall Product Sentiment. - Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo:
Decoupling Makes Weakly Supervised Local Feature Better. - Jaewoo Song, Fangzhen Lin:
PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++. - Ievgen Kabin, Zoya Dyka, Dan Klann, Peter Langendoerfer:
Horizontal DPA Attacks against ECC: Impact of Implemented Field Multiplication Formula. - Ievgen Kabin, Zoya Dyka, Dan Klann, Peter Langendoerfer:
Horizontal Attacks against ECC: from Simulations to ASIC. - Xingyu Li, Zhe Qu, Shangqing Zhao, Bo Tang, Zhuo Lu, Yao Liu:
LoMar: A Local Defense Against Poisoning Attack on Federated Learning. - Tiago Gaspar Oliveira, Arlindo L. Oliveira:
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture. - Lev V. Utkin, Andrei V. Konstantinov:
Attention-based Random Forest and Contamination Model. - Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage:
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. - Davis Le, Sairam Tangirala, Tae Song Lee:
Identifying the differences between 3 dimensional shapes Using a Custom-built Smart Glove. - Daron Anderson, George Iosifidis, Douglas J. Leith:
Lazy Lagrangians with Predictions for Online Learning. - Govind Krishnan Gangadhar, Ashish Kulkarni:
Extraction of Product Specifications from the Web - Going Beyond Tables and Lists. - Zhongxiao Jia, Kailiang Zhang:
A FEAST SVDsolver for the computation of singular value decompositions of large matrices based on the Chebyshev-Jackson series expansion. - Jinzhi Huang, Zhongxiao Jia:
Two harmonic Jacobi-Davidson methods for computing a partial generalized singular value decomposition of a large matrix pair. - Soheil Behnezhad, Sanjeev Khanna:
New Trade-Offs for Fully Dynamic Matching via Hierarchical EDCS. - Bolin Li, Lijun Zhu:
An Improved Active Disturbance Rejection Control for Bode's Ideal Transfer Function. - Ashish Ranjan, Md. Shah Fahad, Akshay Deepak:
λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences. - Beixiong Zheng, Shaoe Lin, Rui Zhang:
Intelligent Reflecting Surface-Aided LEO Satellite Communication: Cooperative Passive Beamforming and Distributed Channel Estimation. - Adam Jozefiak, F. Bruce Shepherd, Noah Weninger:
A Knapsack Intersection Hierarchy Applied to All-or-Nothing Flow in Trees. - Xinrong Zhang, Zihou Ren, Xi Li, Shuqi Liu, Yunlong Deng, Yadi Xiao, Yuxing Han, Jiangtao Wen:
Phocus: Picking Valuable Research from a Sea of Citations. - Saleh Kalantari, Tong Bill Xu, Armin Mostafavi, Angella Lee, Ruth Barankevich, Walter R. Boot, Sara J. Czaja:
Using a Nature-based Virtual Reality Environment for Improving Mood States and Cognitive Engagement in Older Adults: A Mixed-method Feasibility Study. - Alexander Cao, Diego Klabjan, Yuan Luo:
Open-Set Recognition of Breast Cancer Treatments. - Yanfei Dong, Kai Niu, Jincheng Dai, Sen Wang, Yifei Yuan:
Joint Successive Cancellation List Decoding for the Double Polar codes. - Jiayu Pan, Ahmed M. Bedewy, Yin Sun, Ness B. Shroff:
Optimizing Sampling for Data Freshness: Unreliable Transmissions with Random Two-way Delay. - Sai Qian Zhang, Jieyu Lin, Qi Zhang:
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. - Haonan Chen, Bo Yuan Chang, Mohamed A. Naiel, Georges Younes, Steven Wardell, Stan Kleinikkink, John S. Zelek:
Causal Discovery from Sparse Time-Series Data Using Echo State Network. - Hefu Ye, Yongduan Song:
Prescribed-time Control for Linear Systems in Canonical Form Via Nonlinear Feedback. - Hefu Ye, Yongduan Song:
Backstepping Design Embedded With Time-Varying Command Filters. - Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang:
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model. - Bin Yang, Shuang Li, Jinglang Feng, Massimiliano Vasile:
Fast solver for J2-perturbed Lambert problem using deep neural network. - Hassan Mohammad:
A multivariate spectral hybridization of HS and PRP method for nonlinear systems of equations. - Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. - Linh Van Ma, Tran Trung Tin, Moongu Jeon:
Resolving Camera Position for a Practical Application of Gaze Estimation on Edge Devices. - Enes Altinisik, Husrev Taha Sencar:
Camera Model Identification Using Container and Encoding Characteristics of Video Files. - Issa Rice, David Manheim:
Arguments about Highly Reliable Agent Designs as a Useful Path to Artificial Intelligence Safety. - Sara Aldhaheri, Giulia De Masi, Èric Pairet, Paola Ardón:
Underwater Robot Manipulation: Advances, Challenges and Prospective Ventures. - Peichang Guo:
Global monotone convergence of Newton-like iteration for a nonlinear eigen-problem. - Yan Liu, Qingyong Hu, Yinjie Lei, Kai Xu, Jonathan Li, Yulan Guo:
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision. - Tao Niu, Yinglei Teng, Zhu Han, Panpan Zou:
An Adaptive Device-Edge Co-Inference Framework Based on Soft Actor-Critic. - Meng Liu, Minglei Yang, Huifang Li, Kun Zeng, Zhaoming Zhang, Xiancheng Cheng, Arumugam Nallanathan, Derrick Wing Kwan Ng, Guangjian Wang:
Performance Analysis and Power Allocation of Joint Communication and Sensing Towards Future Communication Networks. - Diptesh Kanojia, Kevin Patel, Pushpak Bhattacharyya:
Indian Language Wordnets and their Linkages with Princeton WordNet. - Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo:
Auto-Encoder based Co-Training Multi-View Representation Learning. - Mohammad Shifat-E.-Rabbi, Yan Zhuang, Shiying Li, Abu Hasnat Mohammad Rubaiyat, Xuwang Yin, Gustavo K. Rohde:
Invariance encoding in sliced-Wasserstein space for image classification with limited training data. - Haibo Liu, Qunying Liao:
A New Constructions of Minimal Binary Linear Codes. - Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos:
Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium. - Zhi Zhang, Jiahao Qi, Yueqiang Cheng, Shijie Jiang, Yiyang Lin, Yansong Gao, Surya Nepal, Yi Zou:
A Retrospective and Futurespective of Rowhammer Attacks and Defenses on DRAM. - Jash Dalvi, Sanket Bafna, Devansh Bagaria, Shyamal Virnodkar:
A Survey on Face Recognition Systems. - Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi:
Rethink Stealthy Backdoor Attacks in Natural Language Processing. - Ali Bou Nassif, Ismail Shahin, Ashraf Elnagar, Divya Velayudhan, Adi Alhudhaif, Kemal Polat:
Emotional Speaker Identification using a Novel Capsule Nets Model. - Kelvin L. T. Fung, Simon T. Perrault, Michael T. Gastner:
Effectiveness of Area-to-Value Legends and Grid Lines in Contiguous Area Cartograms. - Majid Mazouchi, Aquib Mustafa, Hamidreza Modares, Christos G. Panayiotou, Marios M. Polycarpou:
Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks. - Keren Censor-Hillel, Orr Fischer, François Le Gall, Dean Leitersdorf, Rotem Oshman:
Quantum Distributed Algorithms for Detection of Cliques. - Prerana Mukherjee, Vinay Kaushik, Ronak Gupta, Ritika Jha, Daneshwari Kankanwadi, Brejesh Lall:
MaskMTL: Attribute prediction in masked facial images with deep multitask learning. - Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton:
Privacy-aware Early Detection of COVID-19 through Adversarial Training. - Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Differentially Private Release of Event Logs for Process Mining. - Rui-Yang Ju, Ting-Yu Lin, Jia-Hao Jian, Jen-Shiun Chiang, Wei-Bin Yang:
ThreshNet: An Efficient DenseNet using Threshold Mechanism to Reduce Connections. - Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song:
Glance and Focus Networks for Dynamic Visual Recognition. - Simon Lupart, Benoît Favre, Vassilina Nikoulina, Salah Ait-Mokhtar:
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic. - Meng-Shiun Tsai, Pei-Ze Chiang, Yi-Hsuan Tsai, Wei-Chen Chiu:
Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement. - Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra:
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay. - Prashant Sharma, Hadeel Saadany, Leonardo Zilio, Diptesh Kanojia, Constantin Orasan:
An Ensemble Approach to Acronym Extraction using Transformers. - Satoshi Kamo, Yiqiang Sheng:
Meta-Generalization for Multiparty Privacy Learning to Identify Anomaly Multimedia Traffic in Graynet. - Maryam Daneshi, Reza Taghavi Fard, Zahra Sadat Zomorodian, Mohammad Tahsildoost:
Development of a hybrid machine-learning and optimization tool for performance-based solar shading design. - Abhishek Gupta, Himanshu Soni, Raunak Joshi, Ronald Melwin Laban:
Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication. - Sijie Li, Cheuk Ting Li:
Arithmetic Network Coding for Secret Sum Computation. - Yu Jiang, Christian Poellabauer:
Medication Error Detection Using Contextual Language Models. - Yiming Luo, Jialin Wang, Rongkai Shi, Hai-Ning Liang, Shan Luo:
In-Device Feedback in Immersive Head-Mounted Displays for Distance Perception During Teleoperation of Unmanned Ground Vehicles. - Zhenjun Dong, Yong Zeng:
Near-Field Spatial Correlation for Extremely Large-Scale Array Communications. - Elette Boyle, Itai Dinur, Niv Gilboa, Yuval Ishai, Nathan Keller, Ohad Klein:
Locality-Preserving Hashing for Shifts with Connections to Cryptography. - Federico Piazzon:
Computing optimal experimental designs on finite sets by log-determinant gradient flow. - Orhun Bugra Baran, Ramazan Gökberk Cinbis:
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples. - Thomas Grubl, Harjinder Singh Lallie:
Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations. - Juan Cruz Viotti, Mital Kinderkhedia:
A Benchmark of JSON-compatible Binary Serialization Specifications. - Richard Apaua, Harjinder Singh Lallie:
Measuring User Perceived Security of Mobile Banking Applications. - Lam Pham, Dat Ngo, Truong Van Hoang, Alexander Schindler, Ian McLoughlin:
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies. - Arut Prakash Kaleeswaran, Arne Nordmann, Thomas Vogel, Lars Grunske:
A systematic literature review on counterexample explanation. - Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou:
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics. - Subigya Nepal, Gonzalo J. Martínez, Shayan Mirjafari, Koustuv Saha, Vedant Das Swain, Xuhai Xu, Pino G. Audia, Munmun De Choudhury, Anind K. Dey, Aaron Striegel, Andrew T. Campbell:
A Survey of Passive Sensing in the Workplace. - Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Yingli Tian, Feng Liu, Xiaoming Liu, Arun Ross:
The State of Aerial Surveillance: A Survey. - Thomas Colcombet, Sam van Gool, Rémi Morvan:
First-order separation over countable ordinals. - Xiyang Hu, Yan Huang, Beibei Li, Tian Lu:
Uncovering the Source of Machine Bias. - Xin Miao, Jiayi Liu, Huayan Wang, Jun Fu:
ImageSubject: A Large-scale Dataset for Subject Detection. - Jiahong Chen, Jing Wang, Weipeng Lin, Kuangen Zhang, Clarence W. de Silva:
Preserving Domain Private Representation via Mutual Information Maximization. - Almagul Kondybayeva, Giovanna Di Marzo:
Voronoi diagrams for the distributed sensor network system data processing. - Austin Silveria:
Projection: A Mixed-Initiative Research Process. - Luca Aceto, Ian Cassar, Adrian Francalanza, Anna Ingólfsdóttir:
Bidirectional Runtime Enforcement of First-Order Branching-Time Properties. - Aditya Siddhant, Ankur Bapna, Orhan Firat, Yuan Cao, Mia Xu Chen, Isaac Caswell, Xavier Garcia:
Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning. - Rohitash Chandra, Venkatesh Kulkarni:
Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework. - Hua Zheng, Wei Xie, Keqi Wang, Zheng Li:
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control. - Seonguk Seo, Joon-Young Lee, Bohyung Han:
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation. - Peng Hang, Yiran Zhang, Chen Lv:
Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment. - Tian Dong, Song Li, Han Qiu, Jialiang Lu:
An Interpretable Federated Learning-based Network Intrusion Detection Framework. - Wenliang Du, Honghao Zeng:
The SEED Internet Emulator and Its Applications in Cybersecurity Education. - Nam Hoon Jo, Hyungbo Shim:
Data-driven Output-feedback Predictive Control: Unknown Plant's Order and Measurement Noise. - Dongjie Chen, Sen-ching Samson Cheung, Chen-Nee Chuah, Sally Ozonoff:
Differentially Private Generative Adversarial Networks with Model Inversion. - Yi Zheng:
Multi-Level Attention for Unsupervised Person Re-Identification. - Ashwin Jacob, Diptapriyo Majumdar, Venkatesh Raman:
Deletion to Scattered Graph Classes II - Improved FPT Algorithms for Deletion to Pairs of Graph Classes. - Chun Yang:
Supervised Contrastive Learning for Recommendation. - Arjun R. Akula, Song-Chun Zhu:
Effective Representation to Capture Collaboration Behaviors between Explainer and User. - Derek Weber, Lucia Falzon, Lewis Mitchell, Mehwish Nasim:
Promoting and countering misinformation during Australia's 2019-2020 bushfires: A case study of polarisation. - Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang:
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. - Minsoo Kim, Joonwoo Ahn, Jaeheung Park:
Continuous-Curvature Target Tree Algorithm for Path Planning in Complex Parking Environments. - Xiaohu You, Chuan Zhang, Bin Sheng, Yongming Huang, Chen Ji, Yifei Shen, Wenyue Zhou, Jian Liu:
Spatiotemporal 2-D Channel Coding for Very Low Latency Reliable MIMO Transmission. - Èric Pairet, Simone Spanò, Nikita Mankovskii, Paolo Pellegrino, Igor V. Zhilin, Jeremy Nicola, Francesco La Gala, Giulia De Masi:
Nukhada USV: a Robot for Autonomous Surveying and Support to Underwater Operations. - Zhenyuan Zhang:
FedDTG: Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks. - Jinnavat Sanalohit, Tatpong Katanyukul:
TFS Recognition: Investigating MPH]{Thai Finger Spelling Recognition: Investigating MediaPipe Hands Potentials. - Geeho Kim, Jinkyu Kim, Bohyung Han:
Communication-Efficient Federated Learning with Acceleration of Global Momentum. - Reihane Boghrati, Jonah Berger:
Quantifying Gender Bias in Consumer Culture. - Reihane Boghrati, Jonah Berger, Grant Packard:
Style, Content, and the Success of Ideas. - Ruofan Liang, Bingsheng He, Shengen Yan, Peng Sun:
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs. - Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao:
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond. - Tao Chen, Daguang Jiang, Ruirui Li:
Swin transformers make strong contextual encoders for VHR image road extraction. - Mohadese Movahednia, Hamid Karimi, Shahram Jadid:
A Cooperative Game Approach for Energy Management of Interconnected Microgrids. - Sanjana Gunna, Rohit Saluja, C. V. Jawahar:
Transfer Learning for Scene Text Recognition in Indian Languages. - Sanjana Gunna, Rohit Saluja, C. V. Jawahar:
Towards Boosting the Accuracy of Non-Latin Scene Text Recognition. - Guangdong Xue, Qin Chang, Jian Wang, Kai Zhang, Nikhil R. Pal:
An Adaptive Neuro-Fuzzy System with Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems. - Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui:
Writing Style Aware Document-level Event Extraction. - Yijie Mao, Onur Dizdar, Bruno Clerckx, Robert Schober, Petar Popovski, H. Vincent Poor:
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends. - Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian:
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification. - Guowei Cui, Xiaoping Chen:
Task planning and explanation with virtual actions. - Qinglin Yang, Yetong Zhao, Huawei Huang, Zibin Zheng:
Fusing Blockchain and AI with Metaverse: A Survey. - Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin:
Differentiable and Scalable Generative Adversarial Models for Data Imputation. - Di Wang, Jinhui Xu:
Differentially Private 𝓁1-norm Linear Regression with Heavy-tailed Data. - Yao Ge, P. C. Ching:
Energy Efficiency for Proactive Eavesdropping in Cooperative Cognitive Radio Networks. - M. Usman Maqbool Bhutta, Yuxiang Sun, Darwin Lau, Ming Liu:
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition. - Liwei Yuan, Hideaki Ishii:
Resilient Consensus with Multi-hop Communication. - Hung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Masaki Nakagawa:
Fully automatic scoring of handwritten descriptive answers in Japanese language tests. - Feiyang Xiao, Jian Guan, Qiaoxi Zhu, Haiyan Lan, Wenwu Wang:
Local Information Assisted Attention-free Decoder for Audio Captioning. - Gordon Hoi, Ammar Fathin Sabili, Frank Stephan:
An Exact Algorithm for finding Maximum Induced Matching in Subcubic Graphs. - Muhammad Sakib Khan Inan, Istiakur Rahman:
Integration of Explainable Artificial Intelligence to Identify Significant Landslide Causal Factors for Extreme Gradient Boosting based Landslide Susceptibility Mapping with Improved Feature Selection. - Martin W. Hess, Gianluigi Rozza:
Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations. - Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad:
Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses. - Monica Nonino, Francesco Ballarin, Gianluigi Rozza, Yvon Maday:
Projection based semi-implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid-Structure Interaction problems. - Xiaobin Fan, Xiaoping Wang, Kai Lu, Lei Xue, Jinjing Zhao:
Tree-based Search Graph for Approximate Nearest Neighbor Search. - Jungseob Lee, Midan Shim, Suhyune Son, Yujin Kim, Chanjun Park, Heuiseok Lim:
Empirical study on BlenderBot 2.0 Errors Analysis in terms of Model, Data and User-Centric Approach. - Sylvie Boldo, François Clément, Louise Leclerc:
A Coq Formalization of the Bochner integral. - Aleena Ajaz, Ayesha Salar, Tauseef Jamal, Asifullah Khan:
Small Object Detection using Deep Learning. - Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang:
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]. - Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley:
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing. - Mathieu Servillat, Catherine Boisson, Matthias Fuessling, Bruno Khelifi:
FAIR high level data for Cherenkov astronomy. - Huan Nguyen, Sondre Holm Fyhn, Paolo De Petris, Kostas Alexis:
Motion Primitives-based Navigation Planning using Deep Collision Prediction. - Tristan Braud, Lik-Hang Lee, Ahmad Yousef Alhilal, Carlos Bermejo Fernandez, Pan Hui:
DiOS - An Extended Reality Operating System for the Metaverse. - Pascal Gerber, Lisa Jöckel, Michael Kläs:
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models. - Andrea Sacchetti, Benjamin Bachmann, Kaspar Löffel, Urs-Martin Künzi, Beatrice Paoli:
Neural Networks to solve Partial Differential Equations: a Comparison with Finite Elements. - Héctor Cadavid, Vasilios Andrikopoulos, Paris Avgeriou, P. Chris Broekema:
System and Software architecting harmonization practices in ultra-large-scale Systems of Systems. - Tao Hou, Tao Wang, Zhuo Lu, Yao Liu, Yalin E. Sagduyu:
IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification. - Shanee Honig, Alon Bartal, Yisrael Parmet, Tal Oron-Gilad:
Using Online Customer Reviews to Classify, Predict, and Learn about Domestic Robot Failures. - Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu:
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study. - Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian:
GhostNets on Heterogeneous Devices via Cheap Operations. - Claudio Filipi Gonçalves dos Santos, João Paulo Papa:
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. - Ruo Ando, Yoshiyasu Takefuji:
An experiment of the complexity of sliding block puzzles by 2D heat flow in paramodulation. - Pasquale Claudio Africa, Roberto Piersanti, Marco Fedele, Luca Dedè, Alfio Quarteroni:
lifex - heart module: a high-performance simulator for the cardiac function. Package 1: Fiber generation. - Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen:
Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach. - Marco Coraggio, Saber Jafarpour, Francesco Bullo, Mario di Bernardo:
Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application. - Luqi Wang, Hao Xu, Yichen Zhang, Shaojie Shen:
Neither Fast Nor Slow: How to Fly Through Narrow Tunnels. - Fedor V. Fomin, Petr A. Golovach, William Lochet, Danil Sagunov, Kirill Simonov, Saket Saurabh:
Detours in Directed Graphs. - Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison Silva Santana, Mateus Roder, João Paulo Papa, Danilo Colombo:
Gait Recognition Based on Deep Learning: A Survey. - Davide Buffelli, Fabio Vandin:
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach. - Sajjad Kachuee, Mohammad Sharifkhani:
TiltedBERT: Resource Adjustable Version of BERT. - Emmanuel Etuh, Francis S. Bakpo, Eneh Agozie H:
Social Media Networks Attacks and their Preventive Mechanisms: A Review. - Christian Ponte-Fernández, Jorge González-Domínguez, María J. Martín:
Fiuncho: a program for any-order epistasis detection in CPU clusters. - Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Fei Huang, Guozhou Zheng, Huajun Chen:
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. - Jinqi Huang, Spyros Stathopoulos, Alexander Serb, Themis Prodromakis:
NeuroPack: An Algorithm-level Python-based Simulator for Memristor-empowered Neuro-inspired Computing. - Minjae Park:
Cross-view Self-Supervised Learning on Heterogeneous Graph Neural Network via Bootstrapping. - Zeyd Boukhers, Timo Hartmann, Jan Jürjens:
COIN: Counterfactual Image Generation for VQA Interpretation. - Martin Weyssow, Houari A. Sahraoui, Bang Liu:
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. - Shuyin Xia, Cheng Wang, Guoying Wang, Xinbo Gao, Elisabeth Giem, JianHang Yu:
GBRS: An Unified Model of Pawlak Rough Set and Neighborhood Rough Set. - Mohammad Hossein Khojaste, Nastaran Moradzadeh Farid, Ahmad Nickabadi:
GMFIM: A Generative Mask-guided Facial Image Manipulation Model for Privacy Preservation. - Thomas Gerald, Laure Soulier:
Continual Learning of Long Topic Sequences in Neural Information Retrieval. - Anders Sundnes Løvlie, Astrid Waagstein, Peter Hyldgård:
The Scientific Evidence Indicator for Popular Science News. - Brian M. Hopkinson, Suchendra M. Bhandarkar:
High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM. - Jun Izutsu, Kanako Komiya:
Morphological Analysis of Japanese Hiragana Sentences using the BI-LSTM CRF Model. - Miloud Bagaa, Tarik Taleb, Jorge Bernal Bernabé, Antonio F. Skarmeta:
QoS and Resource aware Security Orchestration System. - Bin Yang, Tarik Taleb, Zhenqiang Wu, Lisheng Ma:
Spectrum Sharing for Secrecy Performance Enhancement in D2D-enabled UAV Networks. - Oussama El Marai, Miloud Bagaa, Tarik Taleb:
Coalition Game-based Approach for Improving the QoE of DASH-based Streaming in Multi-servers Scheme. - Diego Paez-Granados, Hideki Kadone, Modar Hassan, Yang Chen, Kenji Suzuki:
Personal Mobility With Synchronous Trunk-Knee Passive Exoskeleton: Optimizing Human-Robot Energy Transfer. - Miriam Backens:
A full dichotomy for Holantc, inspired by quantum computation. - Daniel Alabi, Omri Ben-Eliezer, Anamay Chaturvedi:
Bounded Space Differentially Private Quantiles. - Frederico Dias Souza, João B. O. Souza Filho:
BERT for Sentiment Analysis: Pre-trained and Fine-Tuned Alternatives. - Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini:
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. - Mohamed Abomhara, Sule Yildirim Yayilgan, Livinus Obiora Nweke, Zoltán Székely:
A comparison of primary stakeholders'views on the deployment of biometric technologies in border management: Case study of SMart mobILity at the European land borders. - Mohamed Abomhara, Omar M. Zakaria, Othman O. Khalifa, A. A. Zaidan, B. B. Zaidan:
Enhancing Selective Encryption for H.264/AVC Using Advanced Encryption Standard. - Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. - Rami Ezzine, Moritz Wiese, Christian Deppe, Holger Boche:
A Rigorous Proof of the Capacity of MIMO Gauss-Markov Rayleigh Fading Channels. - Mohamed Abomhara, Sule Yildirim Yayilgan:
An Example of Privacy and Data Protection Best Practices for Biometrics Data Processing in Border Control: Lesson Learned from SMILE. - Mohamed Abomhara, Sule Yildirim Yayilgan, Anne Hilde Nymoen, Marina Shalaginova, Zoltán Székely, Ogerta Elezaj:
How to Do It Right: A Framework for Biometrics Supported Border Control. - María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz:
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? - Mohamed Abomhara, Sule Yildirim Yayilgan, Marina Shalaginova, Zoltán Székely:
Border Control and Use of Biometrics: Reasons Why the Right to Privacy Can Not Be Absolute. - Harald Ruess:
Systems Challenges for Trustworthy Embodied Systems. - Mehdi Abdelhamid, Faiçal Azouaou, Sofiane Batata:
A Survey of Plagiarism Detection Systems: Case of Use with English, French and Arabic Languages. - Johannes Schneider, Robin Richner, Micha Riser:
Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers. - Pierre Erbacher, Laure Soulier, Ludovic Denoyer:
State of the Art of User Simulation approaches for conversational information retrieval. - Sidney Evaldo Leal, Magali Sanches Duran, Carolina Evaristo Scarton, Nathan Siegle Hartmann, Sandra Maria Aluísio:
NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese. - Václav Skala, Alex Brusi:
Two Methods for Iso-Surface Extraction from Volumetric Data and Their Comparison. - Zecang Gu, Xiaoqi Sun, Yuan Sun, Fuquan Zhang:
Probabilistic spatial clustering based on the Self Discipline Learning (SDL) model of autonomous learning. - Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi:
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation. - Jag Mohan Singh, Raghavendra Ramachandra:
3D Face Morphing Attacks: Generation, Vulnerability and Detection. - Bruno Klaus de Aquino Afonso, Lilian Berton:
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier. - David Bermbach, Sergio Lucia, Vlado Handziski, Adam Wolisz:
Towards Grassroots Peering at the Edge. - Rahul Kumar Gupta, Sherif Fahmy, Mario Paolone:
Privacy-aware Distributed Day-ahead Dispatch of Multiple Distribution Grids hosting Stochastic Resources: A Multi-Grid Dispatch Framework. - Rodolfo B. S. Carvalho:
Protocolo de Revisão Sistemática da Literatura para Wireless Mesh Networks com mecanismos de incentivo financeiro. - Hiroyuki Kobayashi, Hitoshi Kiya:
Proxy System with JPEG Bitstream-Based File-Size Preserving Encryption for Cloud Photo Streams. - Joakim Algrøy:
Latency in Mesh Networks. - Peter Nightingale:
Savile Row Manual. - Roberto Casadei:
Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour Modelling. - Siyu Liu, Xunyuan Yin, Jinfeng Liu, Feng Ding:
Distributed simultaneous state and parameter estimation of nonlinear systems. - Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng:
Disentangled Graph Neural Networks for Session-based Recommendation. - Shaoyu Chen, Budmonde Duinkharjav, Xin Sun, Li-Yi Wei, Stefano Petrangeli, Jose Echevarria, Cláudio T. Silva, Qi Sun:
Instant Reality: Gaze-Contingent Perceptual Optimization for 3D Virtual Reality Streaming. - Shahrzad Kiani, Stark C. Draper:
Successive Approximation Coding for Distributed Matrix Multiplication. - Kevin Buchin, Bram Custers, Ivor van der Hoog, Maarten Löffler, Aleksandr Popov, Marcel Roeloffzen, Frank Staals:
Segment Visibility Counting Queries in Polygons. - Lawrence J. Smolinsky, Bernhard Klingenberg, Brian D. Marx:
Interpretation and inference for altmetric indicators arising from sparse data statistics. - Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez:
High-frequency limit of the inverse scattering problem: asymptotic convergence from inverse Helmholtz to inverse Liouville. - Jonathan Godin, Philippe Lamontagne:
Deletion-Compliance in the Absence of Privacy. - Kumar Saurav:
3-Competitive Policy for Minimizing Age of Information in Multi-Source M/G/1 Queuing Model. - Marcelo Fiore, Dmitrij Szamozvancev:
Formal Metatheory of Second-Order Abstract Syntax. - David Paulus, Ramian Fathi, Frank Fiedrich, Bartel A. Van de Walle, Tina Comes:
On the interplay of data and cognitive bias in crisis information management - An exploratory study on epidemic response. - Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev:
A study on cross-corpus speech emotion recognition and data augmentation. - Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu:
Black-Box Tuning for Language-Model-as-a-Service. - Daniel Ziembicki, Anna Wróblewska, Karolina Seweryn:
Polish Natural Language Inference and Factivity - an Expert-based Dataset and Benchmarks. - Qiwen Cui, Simon S. Du:
When is Offline Two-Player Zero-Sum Markov Game Solvable? - Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer:
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning. - Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy:
SCROLLS: Standardized CompaRison Over Long Language Sequences. - Shiva Maleki, Ali Mohades:
Implementation of polygon guarding algorithms for art gallery problems. - João G. Ribeiro, Cassandro Martinho, Alberto Sardinha, Francisco S. Melo:
Assisting Unknown Teammates in Unknown Tasks: Ad Hoc Teamwork under Partial Observability. - Furkan Gürsoy, Bertan Badur:
Investigating internal migration with network analysis and latent space representations: An application to Turkey. - Alexander Pan, Kush Bhatia, Jacob Steinhardt:
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models. - Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. - Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl:
Language-driven Semantic Segmentation. - Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel, Stuart I. Campbell, Andi M. Barbour, Daniel Olds:
Machine learning enabling high-throughput and remote operations at large-scale user facilities. - Harry Nguyen, Stone Yun, Hisham Mohammad:
Reproducing BowNet: Learning Representations by Predicting Bags of Visual Words. - Adel Ejjeh, Vikram S. Adve, Rob A. Rutenbar:
Studying the Potential of Automatic Optimizations in the Intel FPGA SDK for OpenCL. - Sajjad Nassirpour, Ilan Shomorony, Alireza Vahid:
Reassembly Codes for the Chop-and-Shuffle Channel. - Eva Breznik, Elisabeth Wetzer, Joakim Lindblad, Natasa Sladoje:
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. - Guilherme Vale, Filipe Figueiredo Correia, Eduardo Martins Guerra, Thatiane de Oliveira Rosa, Jonas Fritzsch, Justus Bogner:
Designing Microservice Systems Using Patterns: An Empirical Study on Quality Trade-Offs. - Arion Pons, Fehmi Cirak:
Multiaxis nose-pointing-and-shooting in a biomimetic morphing-wing aircraft. - Sebastian Stein, John H. Williamson:
Evaluating Bayesian Model Visualisations. - Evdoxia Taka, Sebastian Stein, John H. Williamson:
Does Interaction Help Users Better Understand the Structure of Probabilistic Models? - Duarte Oliveira, João Fidalgo, Joelma Choma, Eduardo Martins Guerra, Filipe F. Correia:
More Software Analytics Patterns: Broad-Spectrum Diagnostic and Embedded Improvements. - Michel Steuwer, Thomas Koehler, Bastian Köpcke, Federico Pizzuti:
RISE & Shine: Language-Oriented Compiler Design. - J. Zachary Gazak, Ian McQuaid, Ryan Swindle, Matthew Phelps, Justin Fletcher:
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery. - Zeinab Shokrzadeh, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar, Jamshid Bagherzadeh Mohasefi:
Resource recommender system performance improvement by exploring similar tags and detecting tags communities. - Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis:
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations. - Decky Aspandi, Sarah Doosdal, Victor Ülger, Lukas Gillich, Steffen Staab:
User Interaction Analysis through Contrasting Websites Experience. - Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky:
Multi-query Video Retrieval. - Esther Conrad, Laura Titolo, Dimitra Giannakopoulou, Thomas Pressburger, Aaron Dutle:
A Compositional Proof Framework for FRETish Requirements. - Nimo Beeren:
Designing a Visual Tool for Property Graph Schema Extraction and Refinement: An Expert Study. - Utkarshani Jaimini, Amit P. Sheth:
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning. - Seungmo Kim, Byung-Jun Kim:
On the Byzantine-Fault-Tolerant Consensus for Blockchain among Connected Vehicles. - Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. - Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko:
A Likelihood Ratio based Domain Adaptation Method for E2E Models. - Federico Celi, Fabio Pasqualetti:
Data-driven Meets Geometric Control: Zero Dynamics, Subspace Stabilization, and Malicious Attacks. - Felipe Lepe, Gonzalo Rivera, Jesús Vellojín:
A posteriori analysis for a mixed FEM discretization of the linear elasticity spectral problem. - Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. - Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister:
Towards Group Robustness in the presence of Partial Group Labels. - Joshua J. Engelsma, Steven A. Grosz, Anil K. Jain:
PrintsGAN: Synthetic Fingerprint Generator. - Sylvain Lugeon, Tiziano Piccardi, Robert West:
Language-Agnostic Website Embedding and Classification. - Roya Kabiri, Simin Karimi, Mihai Surdeanu:
Informal Persian Universal Dependency Treebank. - Donald Loveland, Jiayi Pan, Aaresh Farrokh Bhathena, Yiyang Lu:
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing. - Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi:
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery. - Danalie Azofeifa, Miguel Angel Moreles, Federico Angel Velazquez-Muñoz:
The Hybrid Discontinuous Galerkin method for elliptic problems and applications in vertical ocean-slice modeling. - Fanchao Meng, Mark G. Orr, Samarth Swarup:
Stratified Graph Spectra. - Edoardo Bacci, David Parker:
Verified Probabilistic Policies for Deep Reinforcement Learning. - John Wahlig:
Learning Logic Programs From Noisy Failures. - Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski:
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making. - Zhaohui Wang, Xiao Lin, Abhinav Mishra, Ram Sriharsha:
Online Changepoint Detection on a Budget. - Sourish Ganguly:
Robust Trajectory Tracking and Payload Delivery of a Quadrotor Under Multiple State Constraints. - Ye Jia, Michelle Tadmor Ramanovich, Quan Wang, Heiga Zen:
CVSS Corpus and Massively Multilingual Speech-to-Speech Translation. - Chao Liu, Tarik Tosun, Mark Yim:
A Low-Cost, Highly Customizable Solution for Position Estimation in Modular Robots. - Natraj Raman, Sameena Shah, Manuela Veloso:
Structure with Semantics: Exploiting Document Relations for Retrieval. - Alva Kosasih, Vincent Onasis, Wibowo Hardjawana, Vera Miloslavskaya, Victor Andrean, Jenq-Shiou Leu, Branka Vucetic:
Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems. - Kenneth Duru, Gunilla Kreiss:
The perfectly matched layer (PML) for hyperbolic wave propagation problems: A review. - Gaoxiong Zeng:
Congestion Control Mechanisms for Inter-Datacenter Networks. - Shin Sano, Seiji Yamada:
D-Graph: AI-Assisted Design Concept Exploration Graph. - Sneha Gathani, Shayan Monadjemi, Alvitta Ottley, Leilani Battle:
A Programmatic Approach to Applying Visualization Taxonomies to Interaction Logs. - Isabel Byrne, Natalie Dodson, Ryan Lynch, Eric Pabón, Fernando Piñero:
Improving the minimum distance bound of Trace Goppa codes. - Hanjie Chen, Yangfeng Ji:
Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs. - Nelvin Tan, Way Tan, Jonathan Scarlett:
Performance Bounds for Group Testing With Doubly-Regular Designs. - Shunli Wang, Dingkang Yang, Peng Zhai, Chixiao Chen, Lihua Zhang:
TSA-Net: Tube Self-Attention Network for Action Quality Assessment. - Ahmed Abdeljawad:
Deep Neural Network Approximation For Hölder Functions. - Péter Garamvölgyi, Yuxi Liu, Dong Zhou, Fan Long, Ming Wu:
Utilizing Parallelism in Smart Contracts on Decentralized Blockchains by Taming Application-Inherent Conflicts. - Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra:
Predictive Synthesis of API-Centric Code. - Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng:
Prior Knowledge Enhances Radiology Report Generation. - Naga Raju Gande, Harshita Madduri:
Higher order graded mesh scheme for time fractional differential equations. - Jinyu Lu, Guoqiang Liu, Yunwen Liu, Bing Sun, Chao Li, Li Liu:
Improved Neural Distinguishers with (Related-key) Differentials: Applications in SIMON and SIMECK. - Marc Bruyere, Christoff Visser, Daphné Tuncer:
Toward Evaluating the Complexity to Operate a Network. - Yongkang Wang, Dihua Zhai, Yufeng Zhan, Yuanqing Xia:
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack. - Kevin J. Doherty, David M. Rosen, John J. Leonard:
Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. - Lizhi Yang, Ruhang Ma, Avideh Zakhor:
Drone Object Detection Using RGB/IR Fusion. - Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr:
Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits. - Philipp Hohlfeld, Tobias Ostermeier, Dominik Brandl:
Classification of Beer Bottles using Object Detection and Transfer Learning. - Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou:
Efficient Non-Local Contrastive Attention for Image Super-Resolution. - Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. - Haopeng Hou:
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning. - Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu, Elham J. Barezi, Peng Xu, Cheuk Tung Shadow Yiu, Rita Frieske, Holy Lovenia, Genta Indra Winata, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung:
CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition. - Robi Bhattacharjee, Gaurav Mahajan:
Learning what to remember. - Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding:
MobileFaceSwap: A Lightweight Framework for Video Face Swapping. - Joel Jang, Sumin Shin, Yoonjeon Kim:
Music2Video: Automatic Generation of Music Video with fusion of audio and text. - Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu:
Ancestral instrument method for causal inference without a causal graph. - Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun:
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. - Vladimir Shenmaier:
Asymptotic Optimality of the Greedy Patching Heuristic for Max TSP in Doubling Metrics. - Giorgio Iavicoli, Claudio Zito:
Multi-Hypothesis Scan Matching through Clustering. - Tianlang He, Jiajie Tan, Weipeng Zhuo, Maximilian Printz, S.-H. Gary Chan:
Tackling Multipath and Biased Training Data for IMU-Assisted BLE Proximity Detection. - Swann Marx, Edouard Pauwels:
Path differentiability of ODE flows. - Neeldhara Misra, Saraswati Nanoti:
Eternal Vertex Cover on Bipartite and Co-Bipartite Graphs. - Rahma Dandan, Sylvie Desprès, Karima Sedki:
Acquisition and Representation of User Preferences Guided by an Ontology. - Yuting Yang, Pei Huang, Feifei Ma, Juan Cao, Meishan Zhang, Jian Zhang, Jintao Li:
Quantifying Robustness to Adversarial Word Substitutions. - Yufei Tao:
Parallel Acyclic Joins with Canonical Edge Covers. - Jesus Bujalance Martin, Fabien Moutarde:
Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks. - Marius Beul, Max Schwarz, Jan Quenzel, Malte Splietker, Simon Bultmann, Daniel Schleich, Andre Rochow, Dmytro Pavlichenko, Radu Alexandru Rosu, Patrick Lowin, Bruno Scheider, Michael Schreiber, Finn Süberkrüb, Sven Behnke:
Target Chase, Wall Building, and Fire Fighting: Autonomous UAVs of Team NimbRo at MBZIRC 2020. - Özlem Aktas, Berkay Coskuner, Ilker Soner:
Turkish Sentiment Analysis Using Machine Learning Methods: Application on Online Food Order Site Reviews. - Luca Strazzera, Valentina Gori, Giacomo Veneri:
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift. - Taja Kuzman, Peter Rupnik, Nikola Ljubesic:
The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild. - Yunqi Miao, Nianchang Huang, Xiao Ma, Qiang Zhang, Jungong Han:
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification. - Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. - Andreas Kurth, Björn Forsberg, Luca Benini:
HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing. - Burak Ozpoyraz, Ali Tugberk Dogukan, Yarkin Gevez, Ufuk Altun, Ertugrul Basar:
Deep Learning-Aided 6G Wireless Networks: A Comprehensive Survey of Revolutionary PHY Architectures. - Paul Irofti, Cristian Rusu, Andrei Patrascu:
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection. - Yuntao Ma, Farbod Farshidian, Takahiro Miki, Joonho Lee, Marco Hutter:
Combining Learning-based Locomotion Policy with Model-based Manipulation for Legged Mobile Manipulators. - Fahad Panolan, Hannane Yaghoubizade:
Partial Vertex Cover on Graphs of Bounded Degeneracy. - Claire Hilaire, Jean-Florent Raymond:
Long induced paths in minor-closed graph classes and beyond. - Prasad Vilas Chanekar, Nikhil Chopra:
Co-Design of Lipschitz Nonlinear Systems. - Victor Delvigne, Antoine Facchini, Hazem Wannous, Thierry Dutoit, Laurence Ris, Jean-Philippe Vandeborre:
A Saliency based Feature Fusion Model for EEG Emotion Estimation. - Yangming Zhou, Jin-Kao Hao, Zhen Li, Fred W. Glover:
Heuristic Search for Rank Aggregation with Application to Label Ranking. - Umberto Michelucci:
An Introduction to Autoencoders. - Victor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre:
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity. - Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz:
pymdp: A Python library for active inference in discrete state spaces. - Tim Hellemans, Grzegorz Kielanski, Benny Van Houdt:
Performance of Load Balancers with Bounded Maximum Queue Length in case of Non-Exponential Job Sizes. - Anders E. Kalør, Radoslaw Kotaba, Petar Popovski:
Common Message Acknowledgments: Massive ARQ Protocols for Wireless Access. - Noureddine Moussa, Zakaria Hamidi-Alaoui, Abdelbaki El Belrhiti El Alaoui:
EHRP : An effective hybrid routing protocol to compromise between energy consumption and delay in WSNs. - Robert I. McLachlan, Christian Offen:
Backward error analysis for conjugate symplectic methods. - (Withdrawn) Exponential Randomized Response: Boosting Utility in Differentially Private Selection.
- Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer:
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. - Matías Mattamala, Nived Chebrolu, Maurice F. Fallon:
An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions. - Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva, Yudhanjaya Wijeratne:
Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data. - Hongjie Zhang:
Feature Extraction Framework based on Contrastive Learning with Adaptive Positive and Negative Samples. - Hendrik Ranocha:
A Note on Numerical Fluxes Conserving Harten's Entropies for the Compressible Euler Equations. - Simon Reichhuber, Sven Tomforde:
Active Reinforcement Learning - A Roadmap Towards Curious Classifier Systems for Self-Adaptation. - Onur Günlü:
Function Computation Under Privacy, Secrecy, Distortion, and Communication Constraints. - Kamalakkannan Kamalavasan, István Z. Reguly, Suhaib A. Fahmy, Gihan R. Mudalige:
High Throughput Multidimensional Tridiagonal Systems Solvers on FPGAs. - Kasia S. Chmielinski, Sarah Newman, Matt Taylor, Josh Joseph, Kemi Thomas, Jessica Yurkofsky, Yue Chelsea Qiu:
The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence. - Qi Dai, Jian-wei Liu, Yang Liu:
Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data. - Wenbin Li, Kangzhi Wang, Tingting Fan:
A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data. - Ankur Sikarwar, Gabriel Kreiman:
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering. - Kun Zhou, Berrak Sisman, Rajib Rana, Björn W. Schuller, Haizhou Li:
Emotion Intensity and its Control for Emotional Voice Conversion. - Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. - Jiahao Zheng, Sen Zhang, Xiaoping Wang, Zhigang Zeng:
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis. - Patrick Sean Klein, Maximilian Schiffer:
Electric vehicle charge scheduling with flexible service operations. - Xihui Xie, Kiera Kean, Shuxian Xu:
A Doubly Adaptive Penalty Method for the Navier Stokes Equations. - Chengwei Liu, Sen Chen, Lingling Fan, Bihuan Chen, Yang Liu, Xin Peng:
Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem. - Ava Tan Bhowmik:
A Novel Home-Built Metrology to Analyze Oral Fluid Droplets and Quantify the Efficacy of Masks. - Ibrahim Afolabi, Jonathan Prados-Garzon, Miloud Bagaa, Tarik Taleb, Pablo Ameigeiras:
Dynamic Resource Provisioning of a Scalable E2E Network Slicing Orchestration System. - Oussama El Marai, Tarik Taleb:
Smooth and Low Latency Video Streaming for Autonomous Cars during Handover. - Tarik Taleb, Pantelis A. Frangoudis, Ilias Benkacem, Adlen Ksentini:
CDN Slicing over a Multi-Domain Edge Cloud. - Thaís C. da Costa Haveroth, Geovane A. Haveroth, Marco L. Bittencourt, José Luiz Boldrini:
A Damage Phase-Field Model for Fractional Viscoelastic Materials in Finite Strain. - Reed Milewicz, Miranda Mundt:
Building Bridges: Establishing a Dialogue Between Software Engineering Research and Computational Science. - Miranda Mundt, Reed Milewicz:
Working in Harmony: Towards Integrating RSEs into Multi-Disciplinary CSE Teams. - Hanrui Wang, Shuo Wang, Zhe Jin, Yandan Wang, Cunjian Chen, Massimo Tistarelli:
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition. - Hai Zhu, Bruno Brito, Javier Alonso-Mora:
Decentralized Probabilistic Multi-Robot Collision Avoidance Using Buffered Uncertainty-Aware Voronoi Cells. - Mauro Conti, Luca Pajola, Pier Paolo Tricomi:
Captcha Attack: Turning Captchas Against Humanity. - Grzegorz Gawron, Philip Stubbings:
Feature Space Hijacking Attacks against Differentially Private Split Learning. - Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li:
Pyramid Fusion Transformer for Semantic Segmentation. - Oliver Tomic, Alexandra Kuznetsova, Per Bruun Brockhoff, Thomas Graff, Tormod Næs:
ConsumerCheck: A Software for Analysis of Sensory and Consumer Data. - Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Tao Mei:
Optimization Planning for 3D ConvNets. - Zhaofan Qiu, Ting Yao, Yan Shu, Chong-Wah Ngo, Tao Mei:
Condensing a Sequence to One Informative Frame for Video Recognition. - Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xiao-Ping Zhang, Dong Wu, Tao Mei:
Boosting Video Representation Learning with Multi-Faceted Integration. - Yingwei Pan, Yue Chen, Qian Bao, Ning Zhang, Ting Yao, Jingen Liu, Tao Mei:
Smart Director: An Event-Driven Directing System for Live Broadcasting. - Yehao Li, Jiahao Fan, Yingwei Pan, Ting Yao, Weiyao Lin, Tao Mei:
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training. - Dong Li, Zhaofan Qiu, Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei:
Representing Videos as Discriminative Sub-graphs for Action Recognition. - Rui Li, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei:
Motion-Focused Contrastive Learning of Video Representations. - Alonso Rodríguez-Navarro, Ricardo Brito:
The extreme upper tail of Japan's citation distribution reveals its research success. - Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. - Xin Liu, Yuntao Wang, Sinan Xie, Xiaoyu Zhang, Zixian Ma, Daniel McDuff, Shwetak N. Patel:
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing. - Antoine Maiorca, Nathan Hubens, Sohaib Laraba, Thierry Dutoit:
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models. - Anastasios Andronidis, Cristian Cadar:
SnapFuzz: An Efficient Fuzzing Framework for Network Applications. - Antonio Albanese, Vincenzo Sciancalepore, Albert Banchs, Xavier Costa-Pérez:
LOKO: Localization-aware Roll-out Planning for Future Mobile Networks. - Andrea Leo, Giacomo Reatti, Stefano Arrigoni, Michael Khayyat, Federico Cheli:
Development and Virtual Testing of 5G Connected Adaptive Cruise Control. - Alex Kaltenbach, Sören Bartels:
Error estimates for total-variation regularized minimization problems with singular dual solutions. - Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic:
State Estimation in Electric Power Systems Leveraging Graph Neural Networks. - Serafeim Chatzopoulos, Thanasis Vergoulis, Dimitrios Skoutas, Theodore Dalamagas, Christos Tryfonopoulos, Panagiotis Karras:
ATRAPOS: Evaluating Metapath Query Workloads in Real Time. - Ying Chen, Hojung Kwon, Hazer Inaltekin, Maria Gorlatova:
VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations. - Elisabet Burjons, Janosch Fuchs, Henri Lotze:
The Slotted Online One-Sided Crossing Minimization Problem on 2-Regular Graphs. - Shoffan Saifullah, Andiko Putro Suryotomo:
Identification of chicken egg fertility using SVM classifier based on first-order statistical feature extraction. - Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken:
Differentially Describing Groups of Graphs. - Chenyang Qiu, Zhaoci Huang, Wenzhe Xu, Huijia Li:
VGAER: graph neural network reconstruction based community detection. - Zhiguo Ding:
NOMA Beamforming in SDMA Networks: Riding on Existing Beams or Forming New Ones? - Shady E. Ahmed, Omer San, Diana Alina Bistrian, Ionel Michael Navon:
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations. - Joydeb Kumar Sana, Mohammad Zoynul Abedin, M. Sohel Rahman, Mohammad Saifur Rahman:
Data transformation based optimized customer churn prediction model for the telecommunication industry. - Julian Viereck, Avadesh Meduri, Ludovic Righetti:
ValueNetQP: Learned one-step optimal control for legged locomotion. - Yu Zhang, Robert K. Katzschmann:
Creation of a Modular Soft Robotic Fish Testing Platform. - Gang Li, Gilles Baechler, Manuel Tragut, Yang Li:
Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale. - Lukas von Stumberg, Daniel Cremers:
DM-VIO: Delayed Marginalization Visual-Inertial Odometry. - Lew Gordeev, Edward Hermann Haeusler:
On proof theory in computational complexity: overview. - Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar:
In Defense of the Unitary Scalarization for Deep Multi-Task Learning. - Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges:
gDNA: Towards Generative Detailed Neural Avatars. - Alon Stern, Sarit Kraus, David Sarne:
A Negotiating Strategy for a Hybrid Goal Function in Multilateral Negotiation. - Chung-Yi Weng, Brian Curless, Pratul P. Srinivasan, Jonathan T. Barron, Ira Kemelmacher-Shlizerman:
HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video. - Borek Patzák, Vít Smilauer, Martin Horák, Stanislav Sulc, Eliska Dvoráková:
Multi-physics integration platform MuPIF: Application for composite material design. - José Espírito Santo, Delia Kesner, Loïc Peyrot:
A Faithful and Quantitative Notion of Distant Reduction for Generalized Applications (Long Version). - Giannis Alonistiotis, Antonis Antonopoulos, Nikolaos Melissinos, Aris Pagourtzis, Stavros Petsalakis, Manolis Vasilakis:
Approximating Subset Sum Ratio via Subset Sum Computations. - Kyle Deeds, Dan Suciu, Magda Balazinska, Walter Cai:
Degree Sequence Bound For Join Cardinality Estimation. - Matthew Korban, Xin Li:
A Survey on Applications of Digital Human Avatars toward Virtual Co-presence. - Alejandro Macario-Rojas, Ben Parslew, Andrew Weightman, Katharine L. Smith:
CLOVER Robot: A Minimally Actuated Jumping Robotic Platform for Space Exploration. - Chen Zeng, Grant Hecht, Prajit KrisshnaKumar, Raj K. Shah, Souma Chowdhury, Eleonora M. Botta:
Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System. - Andrey Zhmoginov, Mark Sandler, Max Vladymyrov:
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning. - Negar Sakhaei, Zeinab Maleki, Pouria Ramazi:
Equilibration Analysis and Control of Coordinating Decision-Making Populations. - Wei Kang, Liang Xu, Hong Zhou:
The Observability in Unobservable Systems. - Ondrej Maxian, Brennan Sprinkle, Charles S. Peskin, Aleksandar Donev:
The hydrodynamics of a twisting, bending, inextensible fiber in Stokes flow. - Alejandro Luque-Cerpa, Miguel Angel Gutiérrez-Naranjo, Miguel Cárdenas-Montes:
Dynamic Price of Parking Service based on Deep Learning. - Rahul Gupta, Fabrizio Sossan, Mario Paolone:
Model-less Robust Voltage Control in Active Distribution Networks using Sensitivity Coefficients Estimated from Measurements. - Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao:
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics. - Boubakr Nour, Soumaya Cherkaoui:
Matching-based Service Offloading for Compute-less Driven IoT Networks. - Weitian Tong, Yao Xu, Huili Zhang:
A PTAS for parallel two-stage flowshops under makespan constraint. - Devleena Das, Been Kim, Sonia Chernova:
Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems. - Waleed A. Yousef, Hisham E. Mohammed, Andrew A. Naguib, Rafat S. Eid, Sherif E. Emabrak, Ahmed F. Hamed, Yusuf M. Khalifa, Shrouk T. AbdElrheem, Eman A. Awad, Sara G. Gaafar, Alaa M. Mamdoh, Nada A. Shawky:
JSOL: JavaScript Open-source Library for Grammar of Graphics. - A. Adam Ding, Samuel S. Wu, Guanhong Miao, Shigang Chen:
Achieving Differential Privacy with Matrix Masking in Big Data. - Chong Tang, Wenda Li, Shelly Vishwakarma, Fangzhan Shi, Simon Julier, Kevin Chetty:
MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures. - Francisco J. Castellanos, Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza:
Region-based Layout Analysis of Music Score Images. - Rui Cheng, Zhaoyu Wang, Yifei Guo, Qianzhi Zhang:
Online Voltage Control for Unbalanced Distribution Networks Using Projected Newton Method. - Swagat Kumar, Hayden Sampson, Ardhendu Behera:
Benchmarking Deep Reinforcement Learning Algorithms for Vision-based Robotics. - Zhouhan Chen, Haohan Chen, Juliana Freire, Jonathan Nagler, Joshua A. Tucker:
Understanding how people consume low quality and extreme news using web traffic data. - Salar Mohtaj, Vera Schmitt, Sebastian Möller:
A Feature Extraction based Model for Hate Speech Identification. - Torsten Priebe, Sebastian Neumaier, Stefan Markus:
Finding Your Way Through the Jungle of Big Data Architectures. - Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton, Behnam Neyshabur, Hanie Sedghi:
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance. - Davide Callegaro, Francesco Restuccia, Marco Levorato:
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. - Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents. - Junaed Younus Khan, Gias Uddin:
Automatic Detection and Analysis of Technical Debts in Peer-Review Documentation of R Packages. - Michal Jaworski, Piotr Skowron:
Phragmén Rules for Degressive and Regressive Proportionality. - Osman Boyaci, Mohammad Rasoul Narimani, Katherine R. Davis, Erchin Serpedin:
Generating Connected, Simple, and Realistic Cyber Graphs for Smart Grids. - Dongfang Zhao:
Rache: Radix-additive caching for homomorphic encryption. - Elad Domanovitz, Tal Philosof, Anatoly Khina:
The Information Velocity of Packet-Erasure Links. - Muhammad Tariq, Faisal Naeem, H. Vincent Poor:
Toward Experience-Driven Traffic Management and Orchestration in Digital-Twin-Enabled 6G Networks. - Morteza Saberi:
The Human Factor in AI Safety. - Bhargav Gokalgandhi, Ivan Seskar:
Distributed Processing for Encoding and Decoding of Binary LDPC codes using MPI. - Sam Ganzfried:
Safe Equilibrium. - Nathan TeBlunthuis, Charles Kiene, Isabella Brown, Laura Alia Levi, Nicole McGinnis, Benjamin Mako Hill:
No Community Can Do Everything: Why People Participate in Similar Online Communities. - Ian K. Duncan, Michael T. Gastner:
Evaluation of the usability of web-based contiguous cartogram generation tools. - Dooyoung Kim, Jinwook Kim, Jae-eun Shin, Boram Yoon, Jeongmi Lee, Woontack Woo:
Effects of Virtual Room Size and Objects on Relative Translation Gain Thresholds in Redirected Walking. - Jordan Meadows, Zili Zhou, André Freitas:
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics. - Abdelrahman Younes:
Dynamical Audio-Visual Navigation: Catching Unheard Moving Sound Sources in Unmapped 3D Environments. - Yao Su, Yuhong Jiang, Yixin Zhu, Hangxin Liu:
Object Gathering with a Tethered Robot Duo. - Yan Ma, Tianxing Liu, Bingsheng Wei, Yi Liu, Kang Xu, Wei Li:
Evolutionary Action Selection for Gradient-based Policy Learning. - Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. - Steven J. Krieg, Christian W. Smith, Rusha Chatterjee, Nitesh V. Chawla:
Predicting Terrorist Attacks in the United States using Localized News Data. - Feng Zhu, Jingjing Zhang, Osvaldo Simeone, Xin Wang:
Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD. - Sanjith Gopalakrishnan, Sriram Sankaranarayanan:
Cooperative Security Against Interdependent Risks. - Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song:
Robust Contrastive Learning against Noisy Views. - Yinhua Liu, Wenzheng Zhao, Hongpeng Liu, Yinan Wang, Xiaowei Yue:
Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty. - Mrinal Verghese, Nikhil Das, Yuheng Zhi, Michael C. Yip:
Configuration Space Decomposition for Scalable Proxy Collision Checking in Robot Planning and Control. - Nodir Kodirov, Shane Bergsma, Syed M. Iqbal, Alan J. Hu, Ivan Beschastnikh, Margo I. Seltzer:
Gridiron: A Technique for Augmenting Cloud Workloads with Network Bandwidth Requirements. - Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park:
Neural Residual Flow Fields for Efficient Video Representations. - Andrew Singletary, Aiden Swann, Yuxiao Chen, Aaron D. Ames:
Onboard Safety Guarantees for Racing Drones: High-speed Geofencing with Control Barrier Functions. - Chenghao Feng, Wenqian Shen, Jianping An, Lajos Hanzo:
Weighted Sum Rate Maximization of the mmWave Cell-Free MIMO Downlink Relying on Hybrid Precoding. - Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang:
PromptBERT: Improving BERT Sentence Embeddings with Prompts. - Thai Duong, Nikolay Atanasov:
Physics-guided Learning-based Adaptive Control on the SE(3) Manifold. - Zhouzhen Xie, Yuying Song, Jingxuan Wu, Zecheng Li, Chunyi Song, Zhiwei Xu:
MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm. - Nan Wang, Dazhuan Xu:
Theoretical Limits of Joint Detection and Estimation for Radar Target. - Shuyin Xia, Xiaochuan Dai, Guoyin Wang, Xinbo Gao, Elisabeth Giem:
An Efficient and Adaptive Granular-ball Generation Method in Classification Problem. - Raz Segal, Chen Avin, Gabriel Scalosub:
Constrained In-network Computing with Low Congestion in Datacenter Networks. - Dominique Patrick Verdejo, Eunika Mercier-Laurent:
Video Intelligence as a component of a Global Security system. - Paul Francis, Sebastian Probst Eide, David Wagner, Felix Bauer, Cristian Berneanu, Edon Gashi:
Diffix Elm: Simple Diffix. - Y. C. Tay, Mostafa Rezazad, Hamid Sarbazi-Azad:
A simple model for citation curve. - Nicolas Bousquet, Takehiro Ito, Yusuke Kobayashi, Haruka Mizuta, Paul Ouvrard, Akira Suzuki, Kunihiro Wasa:
Reconfiguration of Spanning Trees with Degree Constraint or Diameter Constraint. - Arthur M. Jacobs, Annette Kinder:
Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature. - Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou:
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution. - Jakob L. Andersen, Rolf Fagerberg, Juraj Kolcák, Christophe V. F. P. Laurent, Daniel Merkle, Nikolai Nøjgaard:
Efficient Modular Graph Transformation Rule Application. - Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao:
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network. - Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu:
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution. - Raphaël Baena, Lucas Drumetz, Vincent Gripon:
Preventing Manifold Intrusion with Locality: Local Mixup. - Elham Cheshmikhani, Hamed Farbeh, Seyed Ghassem Miremadi, Hossein Asadi:
TA-LRW: A Replacement Policy for Error Rate Reduction in STT-MRAM Caches. - Nicolas Six, Nicolas Herbaut, Camille Salinesi:
Blockchain software patterns for the design of decentralized applications: A systematic literature review. - Ukcheol Shin, Kyunghyun Lee, Byeong-Uk Lee, In So Kweon:
Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion. - Jintao Lin, Haodong Duan, Kai Chen, Dahua Lin, Limin Wang:
OCSampler: Compressing Videos to One Clip with Single-step Sampling. - Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. - Ekrem Çetinkaya, Minh Nguyen, Christian Timmerer:
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks. - Peitian Zhang, Zheng Liu:
GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers. - Jong-Hyeok Park, Gihwan Oh, Sang-Won Lee:
Enlightening Flash Storage to Stream Writes by Objects. - Lourenço Beirão da Veiga, Franco Dassi, Gianmarco Manzini, Lorenzo Mascotto:
The Virtual Element Method for the 3D Resistive Magnetohydrodynamic model. - Francisco B. Valero, Marion Baranes, Elena V. Epure:
Topic Modeling on Podcast Short-Text Metadata. - Anthony Melaragno, William Casey:
Detecting Ransomware Execution in a Timely Manner. - Pavlo Mykytyn, Marcin Brzozowski, Zoya Dyka, Peter Langendoerfer:
Jamming Detection for IR-UWB Ranging Technology in Autonomous UAV Swarms. - Axel Barrau, Silvère Bonnabel:
The Geometry of Navigation Problems. - Scott Pezanowski, Alan M. MacEachren, Prasenjit Mitra:
Differentiating Geographic Movement Described in Text Documents. - Chenbo Shi, Mohsen Emadikhiav, Leonardo Lozano, David Bergman:
Careful! Training Relevance is Real. - Gaël Kermarrec, Philipp Morgenstern:
Multilevel T-spline Approximation for Scattered Observations with Application to Land Remote Sensing. - Felix Bach, Jochen Klar, Axel Loewe, Jorge Sánchez, Gunnar Seemann, Yung-Lin Huang, Robert Ulrich:
The openCARP CDE - Concept for and implementation of a sustainable collaborative development environment for research software. - David Anghelone, Cunjian Chen, Arun Ross, Antitza Dantcheva:
Beyond the Visible: A Survey on Cross-spectral Face Recognition. - Xiaoqi Wang, Yingjie Cheng, Yaning Yang, Fei Li, Shaoliang Peng:
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery. - Ian Mason, Sebastian Starke, Taku Komura:
Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases. - Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen:
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. - Erik Otovic, Marko Njirjak, Dario Jozinovic, Goran Mausa, Alberto Michelini, Ivan Stajduhar:
Intra-domain and cross-domain transfer learning for time series data - How transferable are the features? - Yingxue Fu:
Biaffine Discourse Dependency Parsing. - Feng Shu, Xichao Zhan, Wenlong Cai, Mengxing Huang, Qijuan Jie, Yifang Li, Baihua Shi, Jiangzhou Wang:
Machine-learning-aided Massive Hybrid Analog and Digital MIMO DOA Estimation for Future Wireless Networks. - Manuel Zahn, Armaghan Ahmad Khan:
Obstacle avoidance for blind people using a 3D camera and a haptic feedback sleeve. - Anton Björklund, Jarmo Mäkelä, Kai Puolamäki:
SLISEMAP: Explainable Dimensionality Reduction. - Arthur Câmara, Claudia Hauff:
Diagnosing BERT with Retrieval Heuristics. - Preston Putzel, Scott Lee:
Blackbox Post-Processing for Multiclass Fairness. - Gabriel de Albuquerque Gleizer, Manuel Mazo Jr.:
Chaos and order in event-triggered control. - Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. - Giulio Maria Bianco, Abraham Mejia-Aguilar, Gaetano Marrocco:
Numerical and Experimental Characterization of LoRa-based Helmet-to-UAV links on Flat Lands. - Thomas Wodtko, Markus Horn, Michael Buchholz, Klaus Dietmayer:
Globally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions. - Yen-Chi Lee, Jen-Ming Wu, Min-Hsiu Hsieh:
First Arrival Position in Molecular Communication Via Generator of Diffusion Semigroup. - Giovanni Sileno, L. Thomas van Binsbergen, Matteo Pascucci, Tom M. van Engers:
DPCL: a Language Template for Normative Specifications. - Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. - Masaru Miyashita, Norikazu Saito:
A finite element method to a periodic steady-state problem for an electromagnetic field system using the space-time finite element exterior calculus. - Jesús Aguilar Armijo, Ekrem Çetinkaya, Christian Timmerer, Hermann Hellwagner:
ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming. - Gabriele Fambri, Cesar Diaz-Londono, Andrea Mazza, Marco Badami, Robert Weiss:
Power-to-Gas in a gas and electricity distribution network: a sensitivity analysis of modeling approaches. - Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. - Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation. - Tarek Faycal, Claudio Zito:
Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees. - Mikhail Moshkov:
Exact learning and test theory. - Jakob L. Andersen, Rolf Fagerberg, Christoph Flamm, Walter Fontana, Juraj Kolcák, Christophe V. F. P. Laurent, Daniel Merkle, Nikolai Nøjgaard:
Characterizing Catalytic Mechanisms with Overlay Graphs. - Ming Zhou, Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr:
Majorization-type cluster robust bounds for block filters and eigensolvers. - Marie Farrell, Matt Luckcuck, Oisín Sheridan, Rosemary Monahan:
Towards Refactoring FRETish Requirements. - Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken:
Structure and position-aware graph neural network for airway labeling. - Joren Vrancken:
Theme Analysis of Political Facebook Ads in the 2021 Dutch General Election. - A. S. Shurup:
Numerical comparison of iterative and functional-analytical algorithms for inverse acoustic scattering. - Zhaolin Wang, Xidong Mu, Yuanwei Liu, Zhiguo Ding:
NOMA Inspired Integrated Sensing and Communication. - Merijn Floren, Koen Classens, Tom Oomen, Jean-Philippe Noël:
Data-driven feedback linearisation using model predictive control. - Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe:
Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning. - Santiago Andrés Azcoitia, Nikolaos Laoutaris:
A Survey of Data Marketplaces and Their Business Models. - Raghuram S:
Reduced Softmax Unit for Deep Neural Network Accelerators. - Shri Prakash Dwivedi:
Inexact Graph Matching Using Centrality Measures. - Sunder Ali Khowaja, Ik Hyun Lee, Kapal Dev, Muhammad Aslam Jarwar, Nawab Muhammad Faseeh Qureshi:
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data. - Omid Abbasi, Halim Yanikomeroglu:
Transmission Scheme, Detection and Power Allocation for Uplink User Cooperation with NOMA and RSMA. - Hoang Van Truong, Nguyen Thi Anh Sinh, Nguyen Quoc Cuong, Nguyen Xuan Phong:
Sound Dr - A database of Respiratory Sound and Baseline System for COVID-19 Detection. - Andrew Brown, Jaesung Huh, Joon Son Chung, Arsha Nagrani, Andrew Zisserman:
VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge. - Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes:
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set. - Katherine S. Schweidel, He Yin, Stanley W. Smith, Murat Arcak:
Safe-by-Design Planner-Tracker Synthesis. - Claire L. Mitchell, Gabriel J. Cler, Susan K. Fager, Paola Contessa, Serge H. Roy, Gianluca De Luca, Joshua C. Kline, Jennifer M. Vojtech:
Ability-based Methods for Personalized Keyboard Generation. - Dingmin Wang, Pan Hu, Przemyslaw Andrzej Walega, Bernardo Cuenca Grau:
MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators. - Aline Brito, André C. Hora, Marco Túlio Valente:
Towards a Catalog of Composite Refactorings. - Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton:
Deep Symbolic Regression for Recurrent Sequences. - Yidi Wang, Xiaobing Pei, Haoxi Zhan:
Fine-grained Graph Learning for Multi-view Subspace Clustering. - Ziwen Wan, Junjie Shen, Jalen Chuang, Xin Xia, Joshua Garcia, Jiaqi Ma, Qi Alfred Chen:
Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks. - Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran:
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning. - Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello:
SIMD Lossy Compression for Scientific Data. - Suprovat Ghoshal, Euiwoong Lee:
A Characterization of Approximability for Biased CSPs. - Lutz Bornmann, Robin Haunschild:
Empirical analysis of recent temporal dynamics of research fields: Annual publications in chemistry and related areas as an example. - Sai Saketh Rambhatla, Saksham Suri, Rama Chellappa, Abhinav Shrivastava:
Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach. - Hsiao-Yu Chen, Edgar Tretschk, Tuur Stuyck, Petr Kadlecek, Ladislav Kavan, Etienne Vouga, Christoph Lassner:
Virtual Elastic Objects. - M. L. Garsdal, V. Søgaard, S. M. Sørensen:
Generative time series models using Neural ODE in Variational Autoencoders. - Yitzhak Spielberg, Amos Azaria:
The Concept of Criticality in AI Safety. - Yitzhak Spielberg, Amos Azaria:
Revelation of Task Difficulty in AI-aided Education. - Olga A. Doronina, Zachary J. Grey, Andrew Glaws:
Grassmannian Shape Representations for Aerodynamic Applications. - Júlio César Alves, Geraldo Robson Mateus:
Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning. - Ahmed Elkhashap, Daniel Rüschen, Dirk Abel:
Real-Time Monitoring and Control of Water Networks. - Ioannis Caragiannis, Vasilis Gkatzelis, Alexandros Psomas, Daniel Schoepflin:
Beyond Cake Cutting: Allocating Homogeneous Divisible Goods. - Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang:
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. - Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning. - Qun Wang, Haijian Sun, Rose Qingyang Hu, Arupjyoti Bhuyan:
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges. - Weidong Luo:
Polynomial Turing Compressions for Some Graph Problems Parameterized by Modular-Width. - Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. - Ran Ziv, Ilan Gronau, Michael Fire:
CompanyName2Vec: Company Entity Matching Based on Job Ads. - Ehsan Mikaeili, Susanne Claus, Pierre Kerfriden:
A novel hierarchical multiresolution framework using CutFEM. - Gabriel Borrageiro, Nick Firoozye, Paolo Barucca:
The Recurrent Reinforcement Learning Crypto Agent. - Leyla Benhamida, Slimane Larabi:
Semantic Labeling of Human Action For Visually Impaired And Blind People Scene Interaction. - Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. - Sachin, Dhaval Patel:
Event-centric Query Suggestion for Online News. - Eric Michael Smith, Orion Hsu, Rebecca Qian, Stephen Roller, Y-Lan Boureau, Jason Weston:
Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents. - Jian-wei Liu, Yuan-fang Wang, Runkun Lu, Xionglin Luo:
Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss. - Shuai Chang:
Deep clustering with fusion autoencoder. - Mengxi Yang, Xuebin Zheng, Jie Yin, Junbin Gao:
Quasi-Framelets: Another Improvement to GraphNeural Networks. - Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu:
Local2Global: A distributed approach for scaling representation learning on graphs. - Mitra Alirezaei, Tolga Tasdizen:
Adversarially Robust Classification by Conditional Generative Model Inversion. - Noah Golowich, Ankur Moitra, Dhruv Rohatgi:
Planning in Observable POMDPs in Quasipolynomial Time. - Huaming Chen, Muhammad Ali Babar:
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges. - Rémi Abgrall, Fatemeh Nassajian Mojarrad:
Conservative scheme compatible with some other conservation laws: conservation of the local angular momentum. - Paul Schmitt, Nicholas Britten, Jihyun Jeong, Amelia Coffey, Kevin Clark, Shweta Sunil Kothawade, Elena Corina Grigore, Adam Khaw, Christopher Konopka, Linh Pham, Kim Ryan, Christopher Schmitt, Aryaman Pandya, Emilio Frazzoli:
nuReality: A VR environment for research of pedestrian and autonomous vehicle interactions. - Florian Juengermann, Maxime Laasri, Marius Merkle:
An Overview of Uncertainty Quantification Methods for Infinite Neural Networks. - Avah Banerjee:
An adjacency labeling scheme based on a tree-decomposition. - Alakananda Mitra, Sukrutha L. T. Vangipuram, Anand K. Bapatla, Venkata K. V. V. Bathalapalli, Saraju P. Mohanty, Elias Kougianos, Chittaranjan Ray:
Everything You wanted to Know about Smart Agriculture. - Tianya T. Zhang, Peter Jing Jin:
Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks. - Tianya Zhang, Peter Jing Jin:
Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity Background Subtraction. - Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri:
Privacy Amplification by Subsampling in Time Domain. - Aloukik Aditya, Liudu Zhou, Hrishika Vachhani, Dhivya Chandrasekaran, Vijay Mago:
Collision Detection: An Improved Deep Learning Approach Using SENet and ResNext. - Haris Aziz:
How to make the toss fair in cricket? - Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
On Sampling Collaborative Filtering Datasets. - Austen Z. Fan, Paraschos Koutris:
Certifiable Robustness for Nearest Neighbor Classifiers. - Sherrie Wang, François Waldner, David B. Lobell:
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision. - Bingshu Wang, Jiangbin Zheng, C. L. Philip Chen:
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19. - Viet Ha Hoang, Chen Hui Pang, Wee Chin Tan:
Optimal finite elements for ergodic stochastic two-scale elliptic equations. - Chunyuan Zhang, Chao Liu, Qi Song, Jie Zhao:
Recursive Least Squares Policy Control with Echo State Network. - Jiang Zhang, Lillian Clark, Matthew A. Clark, Konstantinos Psounis, Peter Kairouz:
Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation. - Weiling Chen, Benjamin Chua, Stefan Winkler:
AI Singapore Trusted Media Challenge Dataset. - Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. - Yifeng Chen, Wenqing Chu, Fangfang Wang, Ying Tai, Ran Yi, Zhenye Gan, Liang Yao, Chengjie Wang, Xi Li:
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation. - Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman:
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. - Reynaldo Gil Pons, Max Ward, Loïc Miller:
Finding (s, d)-Hypernetworks in F-Hypergraphs is NP-Hard. - Yunfeng Hou, Yunfeng Ji, Gang Wang, Ching-Yen Weng, Qingdu Li:
Online State Estimation for Supervisor Synthesis in Discrete Event Systems with Communication Delays and Losses. - Tejasvi Alladi, Vinay Chamola, Nishad Sahu, Vishnu Venkatesh, Adit Goyal, Mohsen Guizani:
A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks. - Min-Yih Hsu, David Gens, Michael Franz:
MCAD: Beyond Basic-Block Throughput Estimation Through Differential, Instruction-Level Tracing. - Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti:
Non-Stationary Representation Learning in Sequential Linear Bandits. - Shaoxiong Zhang, Yunhong Wang, Tianrui Chai, Annan Li, Anil K. Jain:
RealGait: Gait Recognition for Person Re-Identification. - Yuchong Yao, Xiaohui Wang, Yuanbang Ma, Han Fang, Jiaying Wei, Liyuan Chen, Ali Anaissi, Ali Braytee:
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks. - Jeena Kleenankandy, K. A. Abdul Nazeer:
Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies. - Tianzong Yu, Chunyuan Zhang, Yuan Wang, Meng Ma, Qi Song:
Recursive Least Squares for Training and Pruning Convolutional Neural Networks. - Tarek Faycal, Claudio Zito:
Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks. - Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer:
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). - Xuefeng Peng, Fei Chen, Hang Cheng, Meiqing Wang:
Convolutional dual graph Laplacian sparse coding. - Jiaqi Gao, Zhizhong Huang, Yiming Lei, James Z. Wang, Fei-Yue Wang, Junping Zhang:
S2FPR: Crowd Counting via Self-Supervised Coarse to Fine Feature Pyramid Ranking. - Jiazhen Hong, Wei Qian, Yudong Chen, Yuqian Zhang:
A Geometric Approach to k-means. - Chao Zhao, Daojian Zeng, Lu Xu, Jianhua Dai:
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning. - Ling Chen, Donghui Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang:
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting. - Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis:
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. - Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao:
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis. - Xingye Li, Ling Zhang, Zhigang Zhu:
SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data. - Changqing Ye, Eric T. Chung:
Constraint energy minimizing generalized multiscale finite element method for inhomogeneous boundary value problems with high contrast coefficients. - Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota:
Using Deep Learning to Generate Complete Log Statements. - David Rouquet, Valérie Bellynck, Christian Boitet, Vincent Berment:
Transforming UNL graphs in OWL representations. - Da Li, Ming Yi, Yukai He:
LP-BERT: Multi-task Pre-training Knowledge Graph BERT for Link Prediction. - Borja Balle, Giovanni Cherubin, Jamie Hayes:
Reconstructing Training Data with Informed Adversaries. - Roman Chapko, Leonidas Mindrinos:
On the numerical solution of a hyperbolic inverse boundary value problem in bounded domains. - Lu Han, Dachuan Xu, Yicheng Xu, Ping Yang:
Approximate the individually fair k-center with outliers. - Yuying Ge, Yixiao Ge, Xihui Liu, Dian Li, Ying Shan, Xiaohu Qie, Ping Luo:
BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions. - Yuying Ge, Yibing Song, Ruimao Zhang, Ping Luo:
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning. - Arash Ale Ebrahim, Mohammadreza Hazhirpasand, Oscar Nierstrasz, Mohammad Ghafari:
FuzzingDriver: the Missing Dictionary to Increase Code Coverage in Fuzzers. - Daniele Zonetti, Oriol Gomis-Bellmunt, Eduardo Prieto-Araujo, Marc Cheah-Mane:
Passivity-based design and analysis of phase-locked loops. - Emanuel Metzenthin, Christian Bartz, Christoph Meinel:
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning. - Xingbo Wang, Furui Cheng, Yong Wang, Ke Xu, Jiang Long, Hong Lu, Huamin Qu:
Interactive Data Analysis with Next-step Natural Language Query Recommendation. - Feitong Tan, Sean Ryan Fanello, Abhimitra Meka, Sergio Orts-Escolano, Danhang Tang, Rohit Pandey, Jonathan Taylor, Ping Tan, Yinda Zhang:
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting. - Feihong Yang, Yuan Shen:
A Minimax Framework for Two-Agent Scheduling with Inertial Constraints. - Philipp Haindl, Georg Buchgeher, Maqbool Khan, Bernhard Moser:
Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing. - Boliang Lin:
A Quadratic 0-1 Programming Approach for Word Sense Disambiguation. - Alexander Kalinin, Egor Shikov, Danila A. Vaganov, Anton Lysenko:
Ontological model identification based on data from heterogeneous sources. - Udesh Gunarathna, Renata Borovica-Gajic, Shanika Karunasekera, Egemen Tanin:
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning. - Seung Ho Park, Young-Su Moon, Nam Ik Cho:
Flexible Style Image Super-Resolution using Conditional Objective. - Matteo Savino:
An outline of multi objective optimization in databases with focus on flexible skyline queries. - Valter Uotila, Jiaheng Lu:
A Formal Category Theoretical Framework for Multi-model Data Transformations. - Jian Ma, Dima Damen:
Hand-Object Interaction Reasoning. - Luke Prananta, Bence Mark Halpern, Siyuan Feng, Odette Scharenborg:
The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition. - Laurent Mertens, Joost Vennekens:
Compressing Word Embeddings Using Syllables. - Jacco O. G. Krijnen, Manuel M. T. Chakravarty, Gabriele Keller, Wouter Swierstra:
Translation Certification for Smart Contracts. - Fabian Göttsch, Noboru Osawa, Takeo Ohseki, Kosuke Yamazaki, Giuseppe Caire:
Uplink-Downlink Duality and Precoding Strategies with Partial CSI in Cell-Free Wireless Networks. - Duo Li, Guimei Cao, Yunlu Xu, Zhanzhan Cheng, Yi Niu:
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners. - Ani Tevosyan, Lusine Khondkaryan, Hrant Khachatrian, Gohar Tadevosyan, Lilit Apresyan, Nelly Babayan, Helga Stopper, Zaven Navoyan:
Improving VAE based molecular representations for compound property prediction. - David Ziegler, Johannes Betz, Markus Lienkamp:
Unified Mobility Estimation Mode. - Guilherme Vieira, Jie Zhang:
Peer-to-Peer Energy Trading in a Microgrid Leveraged by Smart Contracts. - Haiyue Fang, Xiaogang Wang, Zheyuan Cai, Yahao Shi, Xun Sun, Shilin Wu, Bin Zhou:
Learning Semantic Abstraction of Shape via 3D Region of Interest. - Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu:
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. - Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. - Ulysse Côté Allard, Minh H. Pham, Alexandra K. Schultz, Tine Nordgreen, Jim Tørresen:
Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach. - Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser:
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles. - Anup Bhattacharya, Arijit Bishnu, Arijit Ghosh, Gopinath Mishra:
Faster Counting and Sampling Algorithms using Colorful Decision Oracle. - Huansheng Ning, Zhijie Guo, Raouf Hamzaoui, Rongyang Li, Fadi Farha, Lingfeng Mao:
Review of Serious Games for Medical Operation. - Huansheng Ning, Zhenyu Wang, Rongyang Li, Yudong Zhang, Lingfeng Mao:
A Review on Serious Games for Exercise Rehabilitation. - Jianzhu Huai, Yukai Lin, Yuan Zhuang, Charles K. Toth, Dong Chen:
Observability Analysis and Keyframe-Based Filtering for Visual Inertial Odometry with Full Self-Calibration. - Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Min Su Lee, Youngki Lee, Byoung-Tak Zhang:
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. - Reza Refaei Afshar, Yingqian Zhang, Joaquin Vanschoren, Uzay Kaymak:
Automated Reinforcement Learning: An Overview. - Rui Wang:
Evaluation of Four Black-box Adversarial Attacks and Some Query-efficient Improvement Analysis. - Franca Delmastro, Valerio Arnaboldi, Marco Conti:
People-centric computing and communications in Smart Cities. - Brice Minaud, Michael Reichle:
Dynamic Local Searchable Symmetric Encryption. - Dawei Dai, Xiaoyu Tang, Shuyin Xia, Yingge Liu, Guoyin Wang, Zizhong Chen:
Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval. - Eugen Füchsle, Hendrik Molter, Rolf Niedermeier, Malte Renken:
Temporal Connectivity: Coping with Foreseen and Unforeseen Delays. - Michele Mancusi, Nicola Zonca, Emanuele Rodolà, Silvia Zuffi:
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation. - Tong Gao, Shivang Singh, Raymond J. Mooney:
Towards Automated Error Analysis: Learning to Characterize Errors. - Zhimin Tang, Linkai Luo, Bike Xie, Yiyu Zhu, Rujie Zhao, Lvqing Bi, Chao Lu:
Automatic Sparse Connectivity Learning for Neural Networks. - Brecht Vandevoort, Bas Ketsman, Christoph Koch, Frank Neven:
Robustness against Read Committed for Transaction Templates with Functional Constraints. - Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo:
Self-semantic contour adaptation for cross modality brain tumor segmentation. - Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Timotei Ardelean, Victor Lempitsky:
Stereo Magnification with Multi-Layer Images. - Trung-Kien Tran, Anh Le-Tuan, Manh Nguyen Duc, Jicheng Yuan, Danh Le Phuoc:
Fantastic Data and How to Query Them. - Jarek Duda:
Context binning, model clustering and adaptivity for data compression of genetic data. - Yitzhak Spielberg, Amos Azaria:
Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning. - Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, George Meditskos, Stefanos Vrochidis:
LARD: Large-scale Artificial Disfluency Generation. - Joao Pinheiro, Jorge Poco:
ChartText: Linking Text with Charts in Documents. - Sai Prasanth Kadiyala, Wai Lok Woo:
Flood Prediction and Analysis on the Relevance of Features using Explainable Artificial Intelligence. - Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao:
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers. - Alexander Ngu:
Dimensional Complexity and Algorithmic Efficiency. - Marcely Zanon Boito, Fethi Bougares, Florentin Barbier, Souhir Gahbiche, Loïc Barrault, Mickael Rouvier, Yannick Estève:
Speech Resources in the Tamasheq Language. - Qingzhao Zhang, Shengtuo Hu, Jiachen Sun, Qi Alfred Chen, Z. Morley Mao:
On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles. - Mark Nicholas Finean, Luka Petrovic, Wolfgang Merkt, Ivan Markovic, Ioannis Havoutis:
Motion Planning in Dynamic Environments Using Context-Aware Human Trajectory Prediction. - Salvatore Citraro, Michael S. Vitevitch, Massimo Stella, Giulio Rossetti:
Feature-rich multiplex lexical networks reveal mental strategies of early language learning. - Junseok Kim, Seongwon Kim, Tarik Taleb, Sunghyun Choi:
RAPID: Contention Resolution-based Random Access using Context ID for IoT. - Tarik Taleb, Adlen Ksentini, Pantelis A. Frangoudis:
Follow-Me Cloud: When Cloud Services Follow Mobile Users. - Carsten Lange, Jian Lange:
Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy. - Haya Brama, Lihi Dery, Tal Grinshpoun:
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics. - Christina Giannoula, Ivan Fernandez, Juan Gómez-Luna, Nectarios Koziris, Georgios I. Goumas, Onur Mutlu:
SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems. - Mathieu Baudet, Alberto Sonnino, Michal Król:
Low-latency, Scalable, DeFi with Zef. - Evgeniya A. Bondar, David Casas, Mikhail V. Volkov:
Completely reachable automata: an interplay between automata, graphs, and trees. - Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering. - Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang:
CLIP-Event: Connecting Text and Images with Event Structures. - Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. - Yuyan Chen, Yanghua Xiao, Bang Liu:
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. - Giacomo Vinati:
Flexible Skyline: one query to rule them all. - Vrushabh Zinage, Efstathios Bakolas:
Neural Koopman Lyapunov Control. - Ehsan Latif, Ramviyas Parasuraman:
Online Indoor Localization Using DOA of Wireless Signals. - Matteo Antonio Scrugli, Bojan Blazica, Paolo Meloni:
An adaptable cognitive microcontroller node for fitness activity recognition. - Leah Epstein, Alexandra Lassota, Asaf Levin, Marten Maack, Lars Rohwedder:
Cardinality Constrained Scheduling in Online Models. - Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic:
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? - Carlos Rodríguez-Pardo, Elena Garces:
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps. - Yunfan Ye, Renjiao Yi, Zhiping Cai, Kai Xu:
STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization. - Andrey Kutuzov, Samia Touileb, Petter Mæhlum, Tita Ranveig Enstad, Alexandra Wittemann:
NorDiaChange: Diachronic Semantic Change Dataset for Norwegian. - Utku Evci, Max Vladymyrov, Thomas Unterthiner, Bart van Merriënboer, Fabian Pedregosa:
GradMax: Growing Neural Networks using Gradient Information. - Gaetano Geck, Jens Keppeler, Thomas Schwentick, Christopher Spinrath:
Rewriting with Acyclic Queries: Mind your Head. - K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. - Vladimir A. Garanzha, Liudmila N. Kudryavtseva, Lennard Kamenski:
Non-simplicial Delaunay meshing via approximation by radical partitions. - Joseph Bakarji, Kathleen P. Champion, J. Nathan Kutz, Steven L. Brunton:
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders. - Hamed Hassani, Adel Javanmard:
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression. - Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood:
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning. - João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling - ORSUM 2021. - Toby Shevlane:
Structured access to AI capabilities: an emerging paradigm for safe AI deployment. - Yi Shi, Yalin E. Sagduyu:
Jamming Attacks on Federated Learning in Wireless Networks. - Norman E. Trushaev:
The Combinatorics of Salva Veritate Principles. - Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. - Mitchell Plyler, Michael Green, Min Chi:
Making a (Counterfactual) Difference One Rationale at a Time. - Chenning Li, Xiuzhen Guo, Longfei Shangguan, Zhichao Cao, Kyle Jamieson:
CurvingLoRa to Boost LoRa Network Capacity via Concurrent Transmission. - Dibbendu Roy, Aravinda S. Rao, Tansu Alpcan, Goutam Das, Marimuthu Palaniswami:
Achieving AI-enabled Robust End-to-End Quality of Experience over Radio Access Networks. - Dibbendu Roy, Aravinda S. Rao, Tansu Alpcan, Akilan Wick, Goutam Das, Marimuthu Palaniswami:
Online Slice Reconfiguration for End-to-End QoE in 6G Applications. - Tse-Chun Chen, Stephen G. Penny, Timothy A. Smith, Jason A. Platt:
'Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form. - Danqing Shi, Weiwei Cui, Danqing Huang, Haidong Zhang, Nan Cao:
Reverse-Engineering Information Presentations: Recovering Hierarchical Grouping from Layouts of Visual Elements. - Alejandro Mera, Yi Hui Chen, Ruimin Sun, Engin Kirda, Long Lu:
D-Box: DMA-enabled Compartmentalization for Embedded Applications. - Denis Anuprienko:
First-order continuation method for steady-state variably saturated groundwater flow modeling. - Bilal Abu-Salih, Dana Al Qudah, Malak Al-Hassan, Seyed Mohssen Ghafari, Tomayess Issa, Ibrahim Aljarah, Amin Beheshti, Sulaiman Alqahtani:
An Intelligent System for Multi-topic Social Spam Detection in Microblogging. - Miles Martinez, John Pearson:
Reproducible, incremental representation learning with Rosetta VAE. - Daniel J. Tylavsky, Songyan Li, Di Shi:
The Padé matrix pencil method with spurious pole information assimilation. - Brian A. Powell:
How I learned to stop worrying and love the curse of dimensionality: an appraisal of cluster validation in high-dimensional spaces. - Alycia N. Carey, Xintao Wu:
The Fairness Field Guide: Perspectives from Social and Formal Sciences. - Ali Karimi, Ahmad Kalhor:
Learning Enhancement of CNNs via Separation Index Maximizing at the First Convolutional Layer. - Andrei A. Bulatov, Akbar Rafiey:
The Ideal Membership Problem and Abelian Groups. - Jian Gu, Pasquale Salza, Harald C. Gall:
Assemble Foundation Models for Automatic Code Summarization. - Mason del Rosario, Zhi Ding:
Learning-Based MIMO Channel Estimation under Spectrum Efficient Pilot Allocation and Feedback. - Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Towards a Data Privacy-Predictive Performance Trade-off. - Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda:
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. - Daniel Bauer, Tom Longley, Yueen Ma, Tony Wilson:
NLP in Human Rights Research - Extracting Knowledge Graphs About Police and Army Units and Their Commanders. - Alexandra Iacob, Bogdan Cautis, Silviu Maniu:
Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version). - Behzad Boroujerdian, Ying Jing, Amit Kumar, Lavanya Subramanian, Luke Yen, Vincent Lee, Vivek Venkatesan, Amit Jindal, Robert Shearer, Vijay Janapa Reddi:
FARSI: Facebook AR System Investigator for Agile Domain-Specific System-on-Chip Exploration. - Armen E. Allahverdyan, Andranik Khachatryan:
Optimal alphabet for single text compression. - Md Atiqul Islam, George C. Alexandropoulos, Besma Smida:
Integrated Sensing and Communication with Millimeter Wave Full Duplex Hybrid Beamforming. - Nikhil X. Bhattasali, Anthony M. Zador, Tatiana A. Engel:
Neural Circuit Architectural Priors for Embodied Control. - Johanna Devaney:
Beyond chord vocabularies: Exploiting pitch-relationships in a chord estimation metric. - Dawei Sun, Jingkai Chen, Sayan Mitra, Chuchu Fan:
Multi-agent Motion Planning from Signal Temporal Logic Specifications. - Robert Dohner, Suk Jai Seo:
The NP-completeness of Redundant Open-Locating-Dominating Set. - Denis Sushentsev, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, Timofey Bryksin:
DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation. - Jun Wu, Elizabeth A. Ainsworth, Sheng Wang, Kaiyu Guan, Jingrui He:
Adaptive Transfer Learning for Plant Phenotyping. - Yao Long, Daniel S. Kirschen:
Bi-level Volt/VAR Optimization in Distribution Networks with Smart PV Inverters. - Venkatesh Chebolu, Sadananda Behera, Goutam Das:
Robust QoT Assured Resource Allocation in Shared Backup Path Protection Based EONs. - Ryosuke Tsumura, Yoshihiko Koseki, Naotaka Nitta, Kiyoshi Yoshinaka:
Toward Fully Automated Robotic Platform for Remote Auscultation. - Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
A Survey of Pretrained Language Models Based Text Generation. - Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang:
Deep Leaning-Based Ultra-Fast Stair Detection. - Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim:
Boundary-aware Self-supervised Learning for Video Scene Segmentation. - Jaime Freire de Souza, João Baptista Dias Moreira, Keith Jared Roberts, Roussian di Ramos Alves Gaioso, Edson Satoshi Gomi, Emílio Carlos Nelli Silva, Hermes Senger:
simwave - A Finite Difference Simulator for Acoustic Waves Propagation. - Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Rongjie Lai, Hengyong Yu, Fei Wang:
Manifoldron: Direct Space Partition via Manifold Discovery. - Yaxiong Xie, Kyle Jamieson:
NG-Scope: Fine-Grained Telemetry for NextG Cellular Networks. - Roberto Vega, Russell Greiner:
Domain-shift adaptation via linear transformations. - Jialiang Han, Yun Ma, Yudong Han:
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning. - Lijun Yu, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann:
Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals. - Baole Ai, Zhou Qin, Wenting Shen, Yong Li:
Structure Enhanced Graph Neural Networks for Link Prediction. - Naman Bansal, Mousumi Akter, Shubhra Kanti Karmaker Santu:
Multi-Narrative Semantic Overlap Task: Evaluation and Benchmark. - Hanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao:
MMNet: Muscle motion-guided network for micro-expression recognition. - Feng Gao, Qing Ping, Govind Thattai, Aishwarya N. Reganti, Ying Nian Wu, Prem Natarajan:
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering. - Md. Faisal Mahbub Chowdhury, Gaetano Rossiello, Michael R. Glass, Nandana Mihindukulasooriya, Alfio Gliozzo:
Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation. - Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou:
Unsupervised Temporal Video Grounding with Deep Semantic Clustering. - Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki:
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization. - Parham Hadikhani, Daphne Teck Ching Lai, Wee-Hong Ong:
A Novel Skeleton-Based Human Activity Discovery Technique Using Particle Swarm Optimization with Gaussian Mutation. - Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant:
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. - Romi Gideoni, Shanee Honig, Tal Oron-Gilad:
Is it personal? The impact of personally relevant robotic failures (PeRFs) on humans' trust, likeability, and willingness to use the robot. - Upendra Bartwal, Subhasis Mukhopadhyay, Rohit Negi, Sandeep K. Shukla:
Security Orchestration, Automation, and Response Engine for Deployment of Behavioural Honeypots. - Michael Kaufmann:
The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text. - Chaojie Zhu, Yingli Ran, Zhao Zhang, Ding-Zhu Du:
Performance Guaranteed Evolutionary Algorithm for Minimum Connected Dominating Set. - Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh:
Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. - Abraham Israeli, Alexander Kremiansky, Oren Tsur:
This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign. - Mengyue Zha, Kani Chen, Tong Zhang:
IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction. - Hanqing Zhang, Haolin Song, Shaoyu Li, Ming Zhou, Dawei Song:
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models. - María Cabrera Calvo:
Uniformly accurate integrators for Klein-Gordon-Schrödinger systems from the classical to non-relativistic limit regime. - Huihuang Zhao, Yaonan Wang, Yuhua Li:
Saliency Constrained Arbitrary Image Style Transfer using SIFT and DCNN. - Brittany Reid, Markus Wagner, Marcelo d'Amorim, Christoph Treude:
Software Engineering User Study Recruitment on Prolific: An Experience Report. - Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. - Thomas Bellotti, Benjamin Graille, Marc Massot:
Finite Difference formulation of any lattice Boltzmann scheme. - Luca Grementieri, Francesco Finelli:
StAnD: A Dataset of Linear Static Analysis Problems. - Lisa Hug, Martin Potten, Georg Stockinger, Kurosch Thuro, Stefan Kollmannsberger:
A three-field phase-field model for mixed-mode fracture in rock based on experimental determination of the mode II fracture toughness. - Ranjan Satapathy, Shweta Pardeshi, Erik Cambria:
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. - Leo Ardon, Dario Morelli, Francesco Villani, David Wheatley:
Towards a Fairer Digital Marketing Model. - Zubair Khaliq, Sheikh Umar Farooq, Dawood Ashraf Khan:
Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect. - Florian Renkin, Philipp Schlehuber, Alexandre Duret-Lutz, Adrien Pommellet:
Improvements to ltlsynt. - Yong Shan, Jinchao Zhang, Zekang Li, Yang Feng, Jie Zhou:
Mental Health Assessment for the Chatbots. - Ali Samadzadeh, Ahmad Nickabadi:
SRVIO: Super Robust Visual Inertial Odometry for dynamic environments and challenging Loop-closure conditions. - Eugen Füchsle, Hendrik Molter, Rolf Niedermeier, Malte Renken:
Delay-Robust Routes in Temporal Graphs. - Leo Ardon:
Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP. - Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech:
De Rham compatible Deep Neural Networks. - Zubair Khaliq, Dawood Ashraf Khan, Asif Iqbal Baba, Shahbaz Ali, Sheikh Umar Farooq:
Model-Based Framework for exploiting sensors of IoT devices using a Botnet: A case study with Android. - Emily Muller, Xu Zheng, Jer Hayes:
Synthesising Electronic Health Records: Cystic Fibrosis Patient Group. - Vali Tawosi, Rebecca Moussa, Federica Sarro:
Deep Learning for Agile Effort Estimation Have We Solved the Problem Yet? - Loïc Bidoux, Philippe Gaborit, Mukul Kulkarni, Víctor Mateu:
Code-based Signatures from New Proofs of Knowledge for the Syndrome Decoding Problem. - Martin W. Hess, Andrea Lario, Gianmarco Mengaldo, Gianluigi Rozza:
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. - Li Wang, Yingcong Zhou, Zhiguo Fu:
The Implicit Regularization of Momentum Gradient Descent with Early Stopping. - Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. - Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on Crowdsensing Spectrum Sensors. - Yinyi Wei, Tong Mo, Yongtao Jiang, Weiping Li, Wen Zhao:
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer. - Antonella Galizia, Simone Cammarasana, Andrea Clematis, Giuseppe Patanè:
Evaluating Accuracy and Efficiency of HPC Solvers for Sparse Linear Systems with Applications to PDEs. - Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga, Aitor Urbieta:
Securing IIoT using Defence-in-Depth: Towards an End-to-End Secure Industry 4.0. - Pavlína Wurzel Gonçalves, Gül Çalikli, Alberto Bacchelli:
Interpersonal Conflicts During Code Review. - J. E. Ndamlabin Mboula, Vivient Corneille Kamla, M. H. Hilman, Clémentin Tayou Djamégni:
Energy-efficient workflow scheduling based on workflow structures under deadline and budget constraints in the cloud. - Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler:
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning. - Ziming Wang, Xin Yao:
An Efficient Multi-Indicator and Many-Objective Optimization Algorithm based on Two-Archive. - Sheela Ramanna, Danila Morozovskii, Sam Swanson, Jennifer Bruneau:
Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data. - Simon Burton:
A causal model of safety assurance for machine learning. - Simon Linke, Rolf Bader, Robert Mores:
Multiphonic modeling using Impulse Pattern Formulation (IPF). - Tarik Taleb, Abdelquoddouss Laghrissi, Djamel Eddine Bensalem:
Towards ML/AI-based Prediction of Mobile Service Usage in Next-Generation Networks. - Oussama Bekkouche, Konstantinos Samdanis, Miloud Bagaa, Tarik Taleb:
A Service-Based Architecture for enabling UAV enhanced Network Services. - Hajar Hantouti, Nabil Benamar, Tarik Taleb:
Service Function Chaining in 5G & Beyond Networks: Challenges and Open Research Issues. - Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. - Luke Kurlandski, Michael Bloodgood:
Impact of Stop Sets on Stopping Active Learning for Text Classification. - Maryam Sajde, Hamed Malek, Mehran Mohsenzadeh:
RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications. - Tomohiro Koana, Christian Komusiewicz, André Nichterlein, Frank Sommer:
Covering Many (or Few) Edges with k Vertices in Sparse Graphs. - Suvarna Saumya Chandrashekhar, Mashrin Srivastava, B. Jaganathan, Pankaj Shukla:
PageRank Algorithm using Eigenvector Centrality - New Approach. - Philip Tetlow, Dinesh Garg, Leigh Chase, Mark Mattingley-Scott, Nicholas Bronn, Kugendran Naidoo, Emil Reinert:
Towards a Semantic Information Theory (Introducing Quantum Corollas). - Bo Liu, Lihua Hu, Zhanyi Hu, Qiulei Dong:
HardBoost: Boosting Zero-Shot Learning with Hard Classes. - Jan Østergaard:
Stabilizing Error Correction Codes for Controlling LTI Systems over Erasure Channels. - Yuqi Wang, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang:
Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks. - Daniele Zonetti, Alexey A. Bobtsov, Romeo Ortega, Nikolay A. Nikolaev, Oriol Gomis-Bellmunt:
An Almost Globally Stable Adaptive Phase-Locked Loop for Synchronization of a Grid-Connected Voltage Source Converter. - Hao Zhu, Ke Sun, Piotr Koniusz:
Contrastive Laplacian Eigenmaps. - Taher Hekmatfar, Saman Haratizadeh, Parsa Razban, Sama Goliaei:
Attention-Based Recommendation On Graphs. - Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. - Aurelienne A. S. Jorge, Iuri da Silva Diniz, Vander L. S. Freitas, Izabelly C. Costa, Leonardo B. L. Santos:
Global-threshold and backbone high-resolution weather radar networks are significantly complementary in a watershed. - Youde Liu, Jian Guan, Qiaoxi Zhu, Wenwu Wang:
Anomalous Sound Detection using Spectral-Temporal Information Fusion. - Paul D. Ledger, William R. B. Lionheart:
Minimal Object Characterisations using Harmonic Generalised Polarizability Tensors and Symmetry Groups. - Yu Feng, Qing Xiao, Claus Brenner, Aaron Peche, Juntao Yang, Udo Feuerhake, Monika Sester:
Determination of building flood risk maps from LiDAR mobile mapping data. - Niklas Gräf, Till Heller, Sven O. Krumke:
On Reward-Penalty-Selection Games. - David Guttendorf, D. W. Wilson Hamilton, Anne Harris Heckman, Herman Herman, Felix Jonathan, Prasanna Kannappan, Nicholas Mireles, Luis E. Navarro-Serment, Jean Oh, Wei Pu, Rohan Saxena, Jeff Schneider, Matt Schnur, Carter Tiernan, Trenton Tabor:
UGV-UAV Object Geolocation in Unstructured Environments. - Cormac O'Malley, Marko Aunedi, Fei Teng, Goran Strbac:
Value of Fleet Vehicle Grid in Providing Transmission System Operator Services. - Ognyan Kounchev, Hermann Render, Tsvetomir Tsachev:
Error estimates for harmonic and biharmonic interpolation splines with annular geometry. - Luke Guerdan, Hatice Gunes:
Decentralized Robot Learning for Personalization and Privacy. - Muhammed Murat Özbek, Emre Koyuncu:
Reinforcement Learning based Air Combat Maneuver Generation. - Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price:
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. - Zhe Zeng, Sai Liu, Hao Cheng, Hailong Liu, Yang Li, Yu Feng, Felix Wilhelm Siebert:
GaVe: A Webcam-Based Gaze Vending Interface Using One-Point Calibration. - Enting Zhou, Yurong Liu, Hanjia Lyu, Jiebo Luo:
"Ban the Chinese spyware!": A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit. - Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi:
Compact Graph Structure Learning via Mutual Information Compression. - Qinkang Gong, Liangdao Wang, Hanjiang Lai, Yan Pan, Jian Yin:
ViT2Hash: Unsupervised Information-Preserving Hashing. - Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu Min Li, Felip Manyà:
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. - Xiaojia He, Christof Meile, Suchendra M. Bhandarkar:
Multimodal registration of FISH and nanoSIMS images using convolutional neural network models. - Fabian Fagerholm, Michael Felderer, Davide Fucci, Michael Unterkalmsteiner, Bogdan Marculescu, Markus Martini, Lars Göran Wallgren Tengberg, Robert Feldt, Bettina Lehtelä, Balázs Nagyváradi, Jehan Khattak:
Cognition in Software Engineering: A Taxonomy and Survey of a Half-Century of Research. - Simon N. B. Gunkel, Emmanouil Potetsianakis, Tessa E. Klunder, Alexander Toet, Sylvie Dijkstra-Soudarissanane:
Immersive Experiences and XR: A Game Engine or Multimedia Streaming Problem? - Mengzhe Geng, Shansong Liu, Jianwei Yu, Xurong Xie, Shoukang Hu, Zi Ye, Zengrui Jin, Xunying Liu, Helen Meng:
Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition. - Jan S. Hesthaven, Cecilia Pagliantini, Nicolò Ripamonti:
Adaptive symplectic model order reduction of parametric particle-based Vlasov-Poisson equation. - Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh:
Reinforcement Learning in Time-Varying Systems: an Empirical Study. - Mengzhe Geng, Xurong Xie, Shansong Liu, Jianwei Yu, Shoukang Hu, Xunying Liu, Helen Meng:
Investigation of Data Augmentation Techniques for Disordered Speech Recognition. - Shaleen Deep, Xiao Hu, Paraschos Koutris:
Ranked Enumeration of Join Queries with Projections. - Peng Wang, Xin Xie, Xiaohan Wang, Ningyu Zhang:
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings. - Srinath Srinivasa, Jayati Deshmukh:
AI and the Sense of Self. - Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Bingbing Liu:
HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation. - John Darges, Alen Alexanderian, Pierre-Alain Gremaud:
Extreme learning machines for variance-based global sensitivity analysis. - Perry Gibson, José Cano:
Reusing Auto-Schedules for Efficient DNN Compilation. - Michael Blondin, Filip Mazowiecki, Philip Offtermatt:
The complexity of soundness in workflow nets. - Jakub Náplava, Milan Straka, Jana Straková, Alexandr Rosen:
Czech Grammar Error Correction with a Large and Diverse Corpus. - Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He:
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. - Michael R. Behrens, Warren C. Ruder:
Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement Learning. - Vésteinn Snæbjarnarson, Haukur Barri Símonarson, Pétur Orri Ragnarsson, Svanhvít Lilja Ingólfsdóttir, Haukur Páll Jónsson, Vilhjálmur Þorsteinsson, Hafsteinn Einarsson:
A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models. - Chester Palen-Michel, June Kim, Constantine Lignos:
Multilingual Open Text 1.0: Public Domain News in 44 Languages. - Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker, Tonio Ball:
When less is more: Simplifying inputs aids neural network understanding. - Leonardo Ranaldi, Aria Nourbakhsh, Arianna Patrizi, Elena Sofia Ruzzetti, Dario Onorati, Francesca Fallucchi, Fabio Massimo Zanzotto:
The Dark Side of the Language: Pre-trained Transformers in the DarkNet. - Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli:
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next. - Thomas P. Wihler:
The Sassenfeld criterion revisited. - Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli:
Zero-Shot Machine Unlearning. - Salvatore D'Oro, Leonardo Bonati, Michele Polese, Tommaso Melodia:
OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN. - Andrew Baumgartner, Sevda Molani, Qi Wei, Jennifer Hadlock:
Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique. - Biplav Srivastava, Tarmo Koppel, Ronak Shah, Owen Bond, Sai Teja Paladi, Rohit Sharma, Austin Hetherington:
ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls. - Ryan Soklaski, Justin Goodwin, Olivia M. Brown, Michael Yee, Jason Matterer:
Tools and Practices for Responsible AI Engineering. - Grace E. Lee, Aixin Sun:
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance. - Achintha Ihalage, Yang Hao:
Formula graph self-attention network for representation-domain independent materials discovery. - Sujit Roy, Gnaneswara Rao Gorle, Vishal Gaur, Haider Raza, Shoaib Jameel:
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures. - Jaroslav Garvardt, Christian Komusiewicz, Frank Sommer:
The Parameterized Complexity of s-Club with Triangle and Seed Constraints. - Yucel Aydin, Gunes Karabulut-Kurt, Enver Ozdemir, Halim Yanikomeroglu:
Authentication and Handover Challenges and Methods for Drone Swarms. - Ramon Pires, Fábio C. de Souza, Guilherme Moraes Rosa, Roberto A. Lotufo, Rodrigo Frassetto Nogueira:
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents. - Lukás Folwarczný:
On Protocols for Monotone Feasible Interpolation. - Jeffrey Tao, Yiru Chen, Eugene Wu:
Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebook. - Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang:
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. - Mathieu Baudet, Alberto Sonnino, Mahimna Kelkar, George Danezis:
Zef: Low-latency, Scalable, Private Payments. - Moran Barenboim, Vadim Indelman:
Adaptive Information Belief Space Planning. - Simon Apers, Yuval Efron, Pawel Gawrychowski, Troy Lee, Sagnik Mukhopadhyay, Danupon Nanongkai:
Cut query algorithms with star contraction. - John Ridley, Huseyin Coskun, David Joseph Tan, Nassir Navab, Federico Tombari:
Transformers in Action: Weakly Supervised Action Segmentation. - Neil Giridharan, Lefteris Kokoris-Kogias, Alberto Sonnino, Alexander Spiegelman:
Bullshark: DAG BFT Protocols Made Practical. - Huiting Liu, Avinesh P. V. S., Siddharth Patwardhan, Peter Grasch, Sachin Agarwal:
Model Stability with Continuous Data Updates. - Xinye Chen, Stefan Güttel:
An efficient aggregation method for the symbolic representation of temporal data. - Aditya M. Medhi, Abhishek D. Patange, Sujit S. Pardeshi, R. Jegadeeshwaran, Mustafa Kuntoglu:
Overview of contemporary systems driven by open-design movement. - Sai Koneru, Danni Liu, Jan Niehues:
Cost-Effective Training in Low-Resource Neural Machine Translation. - Nishan Khatri, Agnibh Dasgupta, Yucong Shen, Xin Zhong, Frank Y. Shih:
Perspective Transformation Layer. - Zhen Chao, Sheng Gui, Benzhuo Lu, Dexuan Xie:
Efficient Generation of Membrane and Solvent Tetrahedral Meshes for Ion Channel Finite Element Calculation. - Thanh Hai Nguyen, Matthew Bundas, Tran Cao Son, Marcello Balduccini, Kathleen Campbell Garwood, Edward R. Griffor:
Specifying and Reasoning about CPS through the Lens of the NIST CPS Framework. - Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu:
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs. - Péter Bereczky, Xiaohong Chen, Dániel Horpácsi, Tamás Bálint Mizsei, Lucas Peña, Jan Tusil:
Mechanizing Matching Logic in Coq. 17-36 - Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto:
Parameter-free Online Test-time Adaptation. - Sergio Sainz-Palacios:
Deep Reinforcement Learning for Shared Autonomous Vehicles (SAV) Fleet Management. - Zhengnan Xie, Alice Saebom Kwak, Enfa George, Laura W. Dozal, Hoang Van, Moriba K. Jah, Roberto Furfaro, Peter Jansen:
Extracting Space Situational Awareness Events from News Text. - Kaihong Wang, Kumar Akash, Teruhisa Misu:
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow. - Mengyi Tang, Kumbit Hwang, Sung Ha Kang:
StemP: A fast and deterministic Stem-graph approach for RNA and protein folding prediction. - Raja Karmakar, Georges Kaddoum:
IBAC: An Intelligent Dynamic Bandwidth Channel Access Avoiding Outside Warning Range Problem. - Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Jianwei Yang, Xiyang Dai, Bin Xiao, Haoxuan You, Shih-Fu Chang, Lu Yuan:
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks. - Wenyan Pan, Zhili Zhou, Miaogen Ling, Xin Geng, Q. M. Jonathan Wu:
Learning Hierarchical Graph Representation for Image Manipulation Detection. - Sha Li, Peichen Yang, Rongyang Li, Fadi Farha, Jianguo Ding, Per Backlund, Huansheng Ning:
A Review on Serious Games for Phobia. - Justin Sanchez, Christopher Neff, Hamed Tabkhi:
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance. - Nathaniel Pritchard, Vivak Patel:
Residual Tracking and Stopping for Iterative Random Sketching. - Yunzhi Yao, Shaohan Huang, Ningyu Zhang, Li Dong, Furu Wei, Huajun Chen:
Kformer: Knowledge Injection in Transformer Feed-Forward Layers. - Yichao Lu:
Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. - Xiuzhen Zhang, Yao Zhang, Dengji Zhao:
Task Allocation on Networks with Execution Uncertainty. - Ce Ju, Cuntai Guan:
Deep Optimal Transport on SPD Manifolds for Domain Adaptation. - YeongHyeon Park:
Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model. - Romeo Ortega, Rafael Cisneros, Lei Wang, Arjan van der Schaft:
Indirect Adaptive Control of Nonlinearly Parameterized Nonlinear Dissipative Systems. - Abbas Khalili, Shahram Shahsavari, Mohammad Ali Amir Khojastepour, Elza Erkip:
Optimal Single-User Interactive Beam Alignment with Feedback Delay. - Zhihe Zhao, Xian Shuai, Yang Bai, Neiwen Ling, Nan Guan, Zhenyu Yan, Guoliang Xing:
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization. - Fei Liu, Mingen Li, Jingpei Lu, Entong Su, Michael C. Yip:
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics. - Rogério Rossi, Kechi Hirama:
Towards a Conceptual Approach of Analytical Engineering for Big Data. - Guanghui Lan, Yan Li, Tuo Zhao:
Block Policy Mirror Descent. - Zhiying Wu, Jieli Liu, Jiajing Wu, Zibin Zheng:
Transaction Tracking on Blockchain Trading Systems using Personalized PageRank. - Ersin Das, Richard M. Murray:
Robust Safe Control Synthesis with Disturbance Observer-Based Control Barrier Functions. - Haonan Wang, Ziwei Wu, Jingrui He:
Training Fair Deep Neural Networks by Balancing Influence. - Tianya T. Zhang, Ying Ye, Yu Kathy Zhang:
Big Data Application for Network Level Travel Time Prediction. - Alexandre Lopes, Roberto Souza, Hélio Pedrini:
A Survey on RGB-D Datasets. - (Withdrawn) Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection.
- Wei-Chang Yeh:
Self-Adaptive Binary-Addition-Tree Algorithm-Based Novel Monte Carlo Simulation for Binary-State Network Reliability Approximation. - Sebastian Wallkötter, Mohamed Chetouani, Ginevra Castellano:
A new approach to evaluating legibility: Comparing legibility frameworks using framework-independent robot motion trajectories. - Ziwei Wan, Zhen Gao, Christos Masouros, Derrick Wing Kwan Ng, Sheng Chen:
Integrated Sensing and Communication with mmWave Massive MIMO: A Compressed Sampling Perspective. - Yoshitomo Matsubara, Luca Soldaini, Eric Lind, Alessandro Moschitti:
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems. - Weiwei Song, Zhi Gao, Renwei Dian, Pedram Ghamisi, Yongjun Zhang, Jón Atli Benediktsson:
Asymmetric Hash Code Learning for Remote Sensing Image Retrieval. - Daniel Lundström, Alexander Huyen, Arya Mevada, Kyongsik Yun, Thomas Lu:
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations. - Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. - Hao Chen, Yifan Zao, Liqin Liu, Song Chen, Zhenwei Shi:
Semantic decoupled representation learning for remote sensing image change detection. - Yuting Yang, Wenqiang Lei, Juan Cao, Jintao Li, Tat-Seng Chua:
Prompt Learning for Few-Shot Dialogue State Tracking. - Tong Zhang, Haohan Weng, Ke Yi, C. L. Philip Chen:
OneDConv: Generalized Convolution For Transform-Invariant Representation. - Jibao Qiu, C. L. Philip Chen, Tong Zhang:
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition. - Tianyi Yang, Yuxiang Zhai, Dengji Zhao, Miao Li, Xinwei Song:
One-Sided Matching with Permission. - Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. - Daniel Kang, Nikos Aréchiga, Sudeep Pillai, Peter Bailis, Matei Zaharia:
Finding Label and Model Errors in Perception Data With Learned Observation Assertions. - Shin Sano, Seiji Yamada:
AI-Assisted Design Concept Exploration Through Character Space Construction. - Antonio Jimeno-Yepes:
Hyperplane bounds for neural feature mappings. - Lea M. Versbach, Viktor Linders, Robert Klöfkorn, Philipp Birken:
Theoretical and Practical Aspects of Space-Time DG-SEM Implementations. - Tianjiao Wang, Zengfu Wang, Bill Moran, Moshe Zukerman:
Submarine Cable Network Design for Regional Connectivity. - Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal:
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification. - Maoran Zhu, Yuanxin Wu:
ChevOpt: Continuous-time State Estimation by Chebyshev Polynomial Optimization. - Elisa Gorla, Alberto Ravagnani:
Generalized weights of codes over rings and invariants of monomial ideals. - Meng Xu, Youchen Wang, Bin Xu, Jun Zhang, Jian Ren, Stefan Poslad, Pengfei Xu:
A Critical Analysis of Image-based Camera Pose Estimation Techniques. - Matthew Deakin, Philip C. Taylor, Janusz Bialek, Wenlong Ming:
Design and Operation of Hybrid Multi-Terminal Soft Open Points using Feeder Selector Switches for Flexible Distribution System Interconnection. - Florian Ellsaesser, Guido Fioretti:
Deciding Not To Decide. - Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Xi Zhang:
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. - Menglin Wang, Jiachen Li, Baisheng Lai, Xiaojin Gong, Xian-Sheng Hua:
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification. - Muhammad Waseem, Peng Liang, Aakash Ahmad, Mojtaba Shahin, Arif Ali Khan, Gastón Márquez:
Decision Models for Selecting Patterns and Strategies in Microservices Systems and their Evaluation by Practitioners. - Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo:
Multi-View representation learning in Multi-Task Scene. - Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf:
Physical Derivatives: Computing policy gradients by physical forward-propagation. - Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang:
Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. - Faisal Nadeem, Yonghui Li, Branka Vucetic, Mahyar Shirvanimoghaddam:
HARQ Optimization for Real-Time Remote Estimation in Wireless Networked Control. - Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough:
UDC: Unified DNAS for Compressible TinyML Models. - Won Joon Yun, Soohyun Park, Joongheon Kim, Myungjae Shin, Soyi Jung, David A. Mohaisen, Jae-Hyun Kim:
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. - Florian Meier:
TWikiL - The Twitter Wikipedia Link Dataset. - Rogério Rossi:
Data Science in Perspective. - Gaurav Satyanath, Jajati Keshari Sahoo, Rajendra Kumar Roul:
Smart Parking Space Detection under Hazy conditions using Convolutional Neural Networks: A Novel Approach. - Eleni Vafeiadi Bila, Brijesh Dongol, Ori Lahav, Azalea Raad, John Wickerson:
View-Based Owicki-Gries Reasoning for Persistent x86-TSO (Extended Version). - Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang:
Deep Unified Representation for Heterogeneous Recommendation. - Dianwen Ng, Yunqi Chen, Biao Tian, Qiang Fu, Eng Siong Chng:
ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting. - Junguang Jiang, Yang Shu, Jianmin Wang, Mingsheng Long:
Transferability in Deep Learning: A Survey. - (Withdrawn) Prototype Guided Network for Anomaly Segmentation.
- Tobias Pfandzelter, David Bermbach:
QoS-Aware Resource Placement for LEO Satellite Edge Computing. - Tengfeng Lin, Zhixiong Jin, Seongjin Choi, Hwasoo Yeo:
A Framework for Pedestrian Sub-classification and Arrival Time Prediction at Signalized Intersection Using Preprocessed Lidar Data. - Ahmet Yavuz Uluslu:
Automatic Lexical Simplification for Turkish. - Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. - Hossein Golestani, Rathijit Sen, Vinson Young, Gagan Gupta:
Calipers: A Criticality-aware Framework for Modeling Processor Performance. - Xiyu Wang, Pengxin Guo, Yu Zhang:
Domain Adaptation via Bidirectional Cross-Attention Transformer. - Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
StolenEncoder: Stealing Pre-trained Encoders. - Pierre Segonne, Yevgen Zainchkovskyy, Søren Hauberg:
Robust uncertainty estimates with out-of-distribution pseudo-inputs training. - Andrew Zupon, Andrew Carnie, Michael Hammond, Mihai Surdeanu:
Automatic Correction of Syntactic Dependency Annotation Differences. - Ben Bogin, Shivanshu Gupta, Jonathan Berant:
Unobserved Local Structures Make Compositional Generalization Hard. - Samaa Elnagar, Victoria Y. Yoon, Manoj A. Thomas:
An Automatic Ontology Generation Framework with An Organizational Perspective. - Yunus Can Bilge, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis:
Towards Zero-shot Sign Language Recognition. - Hongguang Zhang, Hongdong Li, Piotr Koniusz:
Multi-level Second-order Few-shot Learning. - Anna Clarke, Per Olof Gutman:
Skydiving Technique Analysis from a Control Engineering Perspective: Developing a Tool for Aiding Motor Learning. - Yuan Wang, Chunyuan Zhang, Tianzong Yu, Meng Ma:
Recursive Least Squares Advantage Actor-Critic Algorithms. - Keith Moffat, Alexandra von Meier:
Using Voltage Phasor Control to Avoid Distribution Network Constraint Violations. - Irina Bigoulaeva, Viktor Hangya, Iryna Gurevych, Alexander Fraser:
Addressing the Challenges of Cross-Lingual Hate Speech Detection. - Hourieh Khalajzadeh, Mojtaba Shahin, Humphrey O. Obie, John C. Grundy:
How are Diverse End-user Human-centric Issues Discussed on GitHub? - Terry A. Loring, Fredy Vides:
Computing Truncated Joint Approximate Eigenbases for Model Order Reduction. - Rogério Rossi, Kechi Hirama:
Characterizing Big Data Management. - Degang Sun, Yue Cui, Siye Wang, Yanfang Zhang:
On eliminating blocking interference of RFID unauthorized reader detection system. - Yang Li, Bo Feng, Bin Wang, Shuchao Sun:
Joint Planning of Distributed Generations and Energy Storage in Active Distribution Networks: A Bi-Level Programming Approach. - Amin Mekacher, Antonis Papasavva:
"I can't keep it up anymore." The Voat.co dataset. - Jinho Choi, Seng W. Loke, Jihong Park:
A Unified View on Semantic Information and Communication: A Probabilistic Logic Approach. - Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov:
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. - Caitlin Lustig:
Algorithmic Authority: The Case of Bitcoin. - Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel:
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. - Samaa Elnagar, Manoj A. Thomas:
Explaining Cognitive Computing Through the Information Systems Lens. - Hanjia Lyu, Jiebo Luo:
Understanding Political Polarization on Social Platforms by Jointly Modeling Users, Connections and Multi-modal Post Contents in Heterogeneous Graphs. - Moïse Blanchard:
Universal Online Learning: an Optimistically Universal Learning Rule. - Shiyu Wang:
Global Regular Network for Writer Identification. - John M. Machacek:
Mechanical proving with Walnut for squares and cubes in partial words. - Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. - Monu Verma, Prafulla Saxena, Santosh Kumar Vipparthi, Girdhari Singh:
Cross-Centroid Ripple Pattern for Facial Expression Recognition. - Deepanshu Vasal, Randall Berry:
Master Equation for Discrete-Time Stackelberg Mean Field Games with single leader. - Arsal Imtiaz, Danish Khan, Hanjia Lyu, Jiebo Luo:
Taking sides: Public Opinion over the Israel-Palestine Conflict in 2021. - Qi An, Patryk Szewczyk, Michael N. Johnstone, James Jin Kang:
Enhancement of Healthcare Data Performance Metrics using Neural Network Machine Learning Algorithms. - Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers:
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. - Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu:
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. - Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao:
Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic Segmentation. - Xiaoyun Zhao, Ning Yang, Philip S. Yu:
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. - Kohei Hayashi, Kei Nakagawa:
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. - Samsil Arefin Mozumder, A. S. M. Sharifuzzaman Sagar:
IRHA: An Intelligent RSSI based Home automation System. - (Withdrawn) Cost Sharing for Connectivity with Budget.
- Fan Wang, Chaofan Zhang, Fulin Tang, Hongkui Jiang, Yihong Wu, Yong Liu:
Lightweight Object-level Topological Semantic Mapping and Long-term Global Localization based on Graph Matching. - Varun Ramamohan, Shobhit Singhal, Aditya Raj Gupta, Nomesh B. Bolia:
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters. - Hao Wang, Yangguang Li, Zhen Huang, Yong Dou, Lingpeng Kong, Jing Shao:
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples. - Wei Xu:
User-Centered Design (VIII): A New Framework of Intelligent Sociotechnical Systems and Research Prospects. - Zeyu Zhang, Thuy Vu, Alessandro Moschitti:
Double Retrieval and Ranking for Accurate Question Answering. - Zeyu Zhang, Thuy Vu, Alessandro Moschitti:
In Situ Answer Sentence Selection at Web-scale. - Joseph Schlessinger, Richard Bennet, Jacob Coakwell, Steven Thomas Smith, Edward K. Kao:
Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets Via Quotation Propagation. - Zipeng Ye, Mengfei Xia, Ran Yi, Juyong Zhang, Yu-Kun Lai, Xuwei Huang, Guo-Xin Zhang, Yong-Jin Liu:
Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels. - Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller:
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. - Javier Selva, Anders Skaarup Johansen, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund, Albert Clapés:
Video Transformers: A Survey. - Thaweesak Trongtirakul, Kamonnit Pusorn, Umpaporn Peerawanichkul:
Computer Simulation-Based Learning: Student Self-Efficacy During COVID-19 Outbreak. - Praneeth Kumar Vippathalla, Navin Kashyap:
The Secure Storage Capacity of a DNA Wiretap Channel Model. - Tariq Mahmood Khan:
Hardware Implementation of Multimodal Biometric using Fingerprint and Iris. - Guillaume Penent, Nicolas Privault:
Numerical evaluation of ODE solutions by Monte Carlo enumeration of Butcher series. - János Balogh, György Dósa, Leah Epstein, Lukasz Jez:
Lower bounds on the performance of online algorithms for relaxed packing problems. - Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An:
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. - Chuying Huang, Xu Wang:
Strong convergence rate of the Euler scheme for SDEs driven by additive rough fractional noises. - Chengchao Zhao, Nan Liu, Yuheng Ma, Jiwei Zhang:
Unconditionally optimal error estimate of a linearized variable-time-step BDF2 scheme for nonlinear parabolic equations. - Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. - Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara:
Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks. - Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson:
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. - Jiawen Deng, Jingyan Zhou, Hao Sun, Fei Mi, Minlie Huang:
COLD: A Benchmark for Chinese Offensive Language Detection. - MyungJoo Ham, Sangjung Woo, Jaeyun Jung, Wook Song, Gichan Jang, Yongjoo Ahn, Hyoungjoo Ahn:
Toward Among-Device AI from On-Device AI with Stream Pipelines. - Waleed Ahsan, Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan:
A Reliable Reinforcement Learning for Resource Allocation in Uplink NOMA-URLLC Networks. - Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction through Search over Statement Compositions. - Chen Wu, Bo Du, Liangpei Zhang:
Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection. - Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. - Pinhe Wang, Limin Shi, Bao Chen, Zhanyi Hu, Qiulei Dong, Jianzhong Qiao:
Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction. - Chen-Hsiu Huang, Ja-Ling Wu:
Image data hiding with multi-scale autoencoder network. - Thomas D. Pike, Robert Colter, Mark M. Bailey, Jackie Kazil, John Speed Meyers:
Social Networks as a Collective Intelligence: An Examination of the Python Ecosystem. - Di Zhao, Wei Chen, Li Qiu:
When Small Gain Meets Small Phase. - Aurora Ramírez, Robert Feldt, José Raúl Romero:
A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning. - Md Washik Al Azad, Reza Tourani, Abderrahmen Mtibaa, Spyridon Mastorakis:
Harpocrates: Anonymous Data Publication in Named Data Networking. - Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. - Thomas Frachon, Sara Zahedi:
A Cut Finite Element Method for two-phase flows with insoluble surfactants. - Yizheng Wang, Yinghua Liu:
PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my". - Yang Zhao, Hao Zhang:
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks. - Jeremy Kepner, Jonathan Bernays, Stephen Buckley, Kenjiro Cho, Cary Conrad, Leslie Daigle, Keeley Erhardt, Vijay Gadepally, Barry Greene, Michael Jones, Robert Knake, Bruce M. Maggs, Peter Michaleas, Chad R. Meiners, Andrew Morris, Alex Pentland, Sandeep Pisharody, Sarah Powazek, Andrew Prout, Philip Reiner, Koichi Suzuki, Kenji Takahashi, Tony Tauber, Leah Walker, Doug Stetson:
Zero Botnets: An Observe-Pursue-Counter Approach. - Liangru Sun, Felix Juefei-Xu, Yihao Huang, Qing Guo, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu:
ALA: Adversarial Lightness Attack via Naturalness-aware Regularizations. - Peng Kang, Kui Cai, Xuan He, Jinhong Yuan:
Memory Efficient Mutual Information-Maximizing Quantized Min-Sum Decoding for Rate-Compatible LDPC Codes. - Ofer Biran, Oshrit Feder, Yosef Moatti, Athanasios Kiourtis, Dimosthenis Kyriazis, George Manias, Argyro Mavrogiorgou, Nikitas M. Sgouros, Martim Taborda Barata, Isabella Oldani, María Angeles Sanguino, Pavlos Kranas:
PolicyCLOUD: A prototype of a Cloud Serverless Ecosystem for Policy Analytics. - Purbita Mitra, Rouprita Bhattacharjee, Twinkle Chatterjee, Soumalya De, Raja Karmakar, Arindam Ghosh, Tinku Adhikari:
Towards 6G Communications: Architecture, Challenges, and Future Directions. - Dudu Mimran, Ron Bitton, Yehonatan Kfir, Eitan Klevansky, Oleg Brodt, Heiko Lehmann, Yuval Elovici, Asaf Shabtai:
Evaluating the Security of Open Radio Access Networks. - Tao Zhang, Quanyan Zhu:
Bayesian Promised Persuasion: Dynamic Forward-Looking Multiagent Delegation with Informational Burning. - Baldomero Coll-Perales, M. Carmen Lucas-Estan, Takayuki Shimizu, Javier Gozálvez, Takamasa Higuchi, Sergei S. Avedisov, Onur Altintas, Miguel Sepulcre:
End-to-End V2X Latency Modeling and Analysis in 5G Networks. - M. Carmen Lucas-Estan, Baldomero Coll-Perales, Takayuki Shimizu, Javier Gozálvez, Takamasa Higuchi, Sergei S. Avedisov, Onur Altintas, Miguel Sepulcre:
An Analytical Latency Model and Evaluation of the Capacity of 5G NR to Support V2X Services using V2N2V Communications. - Yu Zhu, Santiago Segarra:
Hypergraph Cuts with Edge-Dependent Vertex Weights. - Jyothimon Chandran, Madhuviswanatham Vankadara:
An effective and efficient label initialization method based on similarity for community detection in networks. - Rayhaan Iqbal, Amir Behjat, Revant Adlakha, Jesse Callanan, Mostafa Nouh, Souma Chowdhury:
Efficient Training of Transfer Mapping in Physics-Infused Machine Learning Models of UAV Acoustic Field. - Ron Bitton, Dan Avraham, Eitan Klevansky, Dudu Mimran, Oleg Brodt, Heiko Lehmann, Yuval Elovici, Asaf Shabtai:
Adversarial Machine Learning Threat Analysis in Open Radio Access Networks. - Vinayak Gupta, Srikanta Bedathur:
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer. - Jeremy Kepner, Kenjiro Cho, Kimberly C. Claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
New Phenomena in Large-Scale Internet Traffic. - Pratool Bharti, Priyanjani Chandra, Michael E. Papka, David Koop:
An Edge Map based Ensemble Solution to Detect Water Level in Stream. - Hardik Sachdeva, Shivam Gupta, Anushka Misra, Khushbu Chauhan, Mayank Dave:
Improving Privacy and Security in Unmanned Aerial Vehicles Network using Blockchain. - Olena Palii, Matthias Schlottbom:
A phase-space discontinuous Galerkin approximation for the radiative transfer equation in slab geometry. - Dana Fisman, Joshua Grogin, Oded Margalit, Gera Weiss:
The Normalized Edit Distance with Uniform Operation Costs is a Metric. - Giorgio Franceschelli, Mirco Musolesi:
DeepCreativity: Measuring Creativity with Deep Learning Techniques. - Giorgia Dellaferrera, Toshitake Asabuki, Tomoki Fukai:
Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons. - Bo-Ying Su, Shang-Ling Hsu, Kuan-Yin Lai, Amarnath Gupta:
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model. - Lucas Böttcher, Thomas Asikis, Ioannis Fragkos:
Solving Inventory Management Problems with Inventory-dynamics-informed Neural Networks. - Roni Con, Amir Shpilka, Itzhak Tamo:
Explicit and Efficient Constructions of linear Codes Against Adversarial Insertions and Deletions. - Mark Burstein, Mohan Sridharan, David McDonald:
The Ninth Advances in Cognitive Systems (ACS) Conference. - Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel:
Towards Sample-efficient Overparameterized Meta-learning. - Jaime Pérez, Patricia Arroba, José Manuel Moya:
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks. - Mushuang Liu, Ilya V. Kolmanovsky, H. Eric Tseng, Suzhou Huang, Dimitar P. Filev, Anouck Girard:
Potential Game Based Decision-Making Frameworks for Autonomous Driving. - Christian Limberg, Andrew Melnik, Augustin Harter, Helge J. Ritter:
YOLO - You only look 10647 times. - Rafael Bouzaglo, Yosi Keller:
Synthesis and Reconstruction of Fingerprints using Generative Adversarial Networks. - Phillip Benjamin Ströbel, Simon Clematide, Martin Volk, Raphael Schwitter, Tobias Hodel, David Schoch:
Evaluation of HTR models without Ground Truth Material. - Kun Zhang, Haode Yan:
On the c-differential spectrum of power functions over finite fields. - Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J. Reed, Hossein Vahabi:
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data. - Muhammad Amir Shafiq, Zhiling Long, Haibin Di, Ghassan AlRegib:
A novel attention model for salient structure detection in seismic volumes. - Tariq Mahmood Khan, Donald G. Bailey, Yinan Kong:
A fast and accurate iris segmentation method using an LoG filter and its zero-crossings. - Hafiz Zeeshan Iqbal Khan, Surrayya Mobeen, Jahanzeb Rajput, Jamshed Riaz:
Nonlinear Control Allocation: A Learning Based Approach. - Jieli Liu, Weilin Zheng, Dingyuan Lu, Jiajing Wu, Zibin Zheng:
Understanding the Decentralization of DPoS: Perspectives From Data-Driven Analysis on EOSIO. - Wei Jia, Zhaojun Lu, Haichun Zhang, Zhenglin Liu, Jie Wang, Gang Qu:
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems. - Yujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi:
Proficiency Matters Quality Estimation in Grammatical Error Correction. - Liang Chen, Qibiao Peng, Jintang Li, Yang Liu, Jiawei Chen, Yong Li, Zibin Zheng:
Neighboring Backdoor Attacks on Graph Convolutional Network. - Nguyen Van Huynh, Nguyen Quang Hieu, Nam Hoai Chu, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz:
A Novel Covert Communication Method using Ambient Backscatter Communications. - Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger:
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. - Yushi Bai, Xin Lv, Juanzi Li, Lei Hou, Yincen Qu, Zelin Dai, Feiyu Xiong:
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning. - Arjun R. Akula, Song-Chun Zhu:
Discourse Analysis for Evaluating Coherence in Video Paragraph Captions. - Urmila Shrawankar:
Comparative Study of Acoustic Echo Cancellation Algorithms for Speech Recognition System in Noisy Environment. - Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo:
VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling. - Qingyu Qu, Xijun Li, Yunfan Zhou, Jia Zeng, Mingxuan Yuan, Jie Wang, Jinhu Lv, Kexin Liu, Kun Mao:
An Improved Reinforcement Learning Algorithm for Learning to Branch. - Yuqiao Wen, Guoqing Luo, Lili Mou:
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. - Sameer Aqib Hashmi, Mahdy Rahman Chowdhury:
Face Detection in Extreme Conditions: A Machine-learning Approach. - Changwook Jun, Jooyoung Choi, Myoseop Sim, Hyun Kim, Hansol Jang, Kyungkoo Min:
Korean-Specific Dataset for Table Question Answering. - Tianshu Shen, Jiaru Li, Mohamed Reda Bouadjenek, Zheda Mai, Scott Sanner:
Unintended Bias in Language Model-driven Conversational Recommendation. - Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Juanzi Li, Ling Feng:
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment. - Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury:
Efficient DNN Training with Knowledge-Guided Layer Freezing. - Alessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, Roshanak Mirzaee:
Generalizable Neuro-symbolic Systems for Commonsense Question Answering. - Yajuan Liu, Han Cai, Xiaohu Tang:
A New Cooperative Repair Scheme with k + 1 Helper Nodes for (n, k) Hadamard MSR codes with Small Sub-packetization. - Xiaoyu Sun, Xiao Chen, Kui Liu, Sheng Wen, Li Li, John C. Grundy:
Characterizing Sensor Leaks in Android Apps. - Xing Lin, Han Cai, Xiaohu Tang:
A Class of Minimum Storage Cooperative Regenerating Codes with Low Access Property. - Ling Chen, Miaomiao Dong:
Rethinking Activity Awareness: The Design, Evaluation & Implication of Integrating Activity Awareness into Mobile Messaging. - Zhenzhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng:
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees. - Yimin Huang, Xinyu Feng, Wanwan Wang, Hao He, Yukun Wang, Ming Yao:
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party. - Ayoob Salari, Mahyar Shirvanimoghaddam, Muhammad Basit Shahab, Reza Arablouei, Sarah Johnson:
Clustering-based Joint Channel Estimation and Signal Detection for NOMA. - Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han:
Contrastive Regularization for Semi-Supervised Learning. - Fatemeh Mohades Deilami, Hossein Sadr, Mojdeh Nazari:
Using Machine Learning Based Models for Personality Recognition. - Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu:
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. - Weijun Gao, Xuyang Lu, Chong Han, Zhi Chen:
WASABI: Widely-Spaced Array and Beamforming Design for Terahertz Range-Angle Secure Communications. - Zizhao Zhang, Yifei Zhao, Guangda Huzhang:
Exploit Customer Life-time Value with Memoryless Experiments. - Steven W. Gagniere, Yushan Han, Yizhou Chen, David A. B. Hyde, Alan Marquez-Razon, Joseph Teran, Ronald Fedkiw:
A Robust Grid-Based Meshing Algorithm for Embedding Self-Intersecting Surfaces. - Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu:
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning. - Tianyi Xie, Liucheng Liao, Cheng Bi, Benlai Tang, Xiang Yin, Jianfei Yang, Mingjie Wang, Jiali Yao, Yang Zhang, Zejun Ma:
Towards Realistic Visual Dubbing with Heterogeneous Sources. - Namhoon Cho, Hyo-Sang Shin:
Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient. - Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis:
Continual Transformers: Redundancy-Free Attention for Online Inference. - Olivier Augereau, Gabriel Brocheton, Pedro Paulo Do Prado Neto:
An Open Platform for Research about Cognitive Load in Virtual Reality. - Thomas F. Burns, Robert Tang:
Detecting danger in gridworlds using Gromov's Link Condition. - Nicolas Six, Nicolas Herbaut, Camille Salinesi:
Harmonica: A Framework for Semi-automated Design and Implementation of Blockchain Applications. - Shumpei Kubosawa, Takashi Onishi, Makoto Sakahara, Yoshimasa Tsuruoka:
Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning. - Li You, Xiaoyu Qiang, Ke-Xin Li, Christos G. Tsinos, Wenjin Wang, Xiqi Gao, Björn E. Ottersten:
Hybrid Analog/Digital Precoding for Downlink Massive MIMO LEO Satellite Communications. - Anik Jacobsen, Salar Mohtaj, Sebastian Möller:
MuLVE, A Multi-Language Vocabulary Evaluation Data Set. - Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan:
The CLEAR Benchmark: Continual LEArning on Real-World Imagery. - Marco Di Giovanni, Francesco Pierri, Christopher Torres-Lugo, Marco Brambilla:
VaccinEU: COVID-19 vaccine conversations on Twitter in French, German and Italian. - Jinrae Kim, Youdan Kim:
Parametrized Convex Universal Approximators for Decision-Making Problems. - Yuhan Wang, Youlong Wu:
Universal Coded Distributed Computing For MapReduce Frameworks. - Justyna Czestochowska, Kristina Gligoric, Maxime Peyrard, Yann Mentha, Michal Bien, Andrea Grütter, Anita Auer, Aris Xanthos, Robert West:
On the Context-Free Ambiguity of Emoji: A Data-Driven Study of 1, 289 Emojis. - Xu Chen, Yahong Han, Xiaohan Wang, Yifan Sun, Yi Yang:
Action Keypoint Network for Efficient Video Recognition. - Pengfei Liu, Kun Li, Helen Meng:
Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition. - Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola:
A survey study of success factors in data science projects. - Elena Luna, Juan C. SanMiguel, José M. Martínez, Pablo Carballeira:
Graph Neural Networks for Cross-Camera Data Association. - Yehia Abd Alrahman, Shaun Azzopardi, Nir Piterman:
R-CHECK: A Model Checker for Verifying Reconfigurable MAS. - Milad Vazan:
Joint Learning for Aspect and Polarity Classification in Persian Reviews Using Multi-Task Deep Learning. - Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco:
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. - Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning. - Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Landscape of Neural Architecture Search across sensors: how much do they differ ? - Umang Mathur, Andreas Pavlogiannis, Hünkar Can Tunç, Mahesh Viswanathan:
A Tree Clock Data Structure for Causal Orderings in Concurrent Executions. - Luca Baldesi, Francesco Restuccia, Tommaso Melodia:
ChARM: NextG Spectrum Sharing Through Data-Driven Real-Time O-RAN Dynamic Control. - Masahito Hayashi, Naqueeb Ahmad Warsi:
Commitment capacity of classical-quantum channels. - Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga, Aitor Urbieta:
End to End Secure Data Exchange in Value Chains with Dynamic Policy Updates. - Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer:
Fair Group-Shared Representations with Normalizing Flows. - Verena Biener, Travis Gesslein, Daniel Schneider, Felix Kawala, Alexander Otte, Per Ola Kristensson, Michel Pahud, Eyal Ofek, Cuauhtli Campos, Matjaz Kljun, Klen Copic Pucihar, Jens Grubert:
PoVRPoint: Authoring Presentations in Mobile Virtual Reality. - Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer:
Fair Interpretable Learning via Correction Vectors. - Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan:
ExpertNet: A Symbiosis of Classification and Clustering. - Hwanil Choi, Wonjoon Chang, Jaesik Choi:
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? - Moataz Mohammed, Mostafa M. Aref:
Chatbot System Architecture. - Georg Hahn, Muhammad Ali Siddiqi, Said Hamdioui, Wouter A. Serdijn, Christos Strydis:
Assessing the Security of the IEEE 802.15.6 Standard for Medical BANs. - Cristian Alb:
Probabilistic Alternatives to the Gower Distance: A Note on Deodata Predictors. - Zhitong Xiong, Sining Chen, Yilei Shi, Xiao Xiang Zhu:
Disentangled Latent Transformer for Interpretable Monocular Height Estimation. - Matthew Rogers, Kasper Rasmussen:
Silently Disabling ECUs and Enabling Blind Attacks on the CAN Bus. - Florian Schummer, Maximilian Hyba:
An Approach for System Analysis with MBSE and Graph Data Engineering. - Alberto Giammarino, Juan M. Gandarias, Pietro Balatti, Mattia Leonori, Marta Lorenzini, Arash Ajoudani:
SUPER-MAN: SUPERnumerary Robotic Bodies for Physical Assistance in HuMAN-Robot Conjoined Actions. - Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. - Carsten Kutzner, Christian Kniep, Austin Cherian, Ludvig Nordstrom, Helmut Grubmüller, Bert L. de Groot, Vytautas Gapsys:
GROMACS in the cloud: A global supercomputer to speed up alchemical drug design. - Zhouxia Wang, Jiawei Zhang, Runjian Chen, Wenping Wang, Ping Luo:
RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs. - Chen Lin, Zheyang Li, Bo Peng, Haoji Hu, Wenming Tan, Ye Ren, Shiliang Pu:
UWC: Unit-wise Calibration Towards Rapid Network Compression. - Nima Rafiee, Rahil Gholamipoorfard, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann:
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling. - Hyeon Jeon, Michaël J. Aupetit, Soohyun Lee, Hyung-Kwon Ko, Youngtaek Kim, Jinwook Seo:
Distortion-Aware Brushing for Interactive Cluster Analysis in Multidimensional Projections. - Chris Emmery, Ákos Kádár, Grzegorz Chrupala, Walter Daelemans:
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations. - Alex Bäuerle, Aybuke Gul Turker, Ken Burke, Osman Aka, Timo Ropinski, Christina Greer, Mani Varadarajan:
Visual Identification of Problematic Bias in Large Label Spaces. - Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis:
SwinUNet3D - A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers. - Jianhua Wang, Baofeng Wu, Zhuojun Liu:
Improved Degree Evaluation and Superpoly Recovery methods with Application to Trivium. - Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen:
Efficient Data-Plane Memory Scheduling for In-Network Aggregation. - Zhiyong Sun, Marcus Greiff, Anders Robertsson, Rolf Johansson, Brian D. O. Anderson:
Cooperative constrained motion coordination of networked heterogeneous vehicles. - Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Cameron Browne:
Spatial State-Action Features for General Games. - Sevim Cengiz, Mohammad Yaqub:
Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans. - Dan Halbersberg, Matan Halevi, Moshe Salhov:
Search and Score-Based Waterfall Auction Optimization. - Jonas Löhdefink, Tim Fingscheidt:
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space. - Libo Huang, Zhulin An, Xiang Zhi, Yongjun Xu:
Lifelong Generative Learning via Knowledge Reconstruction. - Giseop Kim, Seungsang Yun, Jeongyun Kim, Ayoung Kim:
SC-LiDAR-SLAM: a Front-end Agnostic Versatile LiDAR SLAM System. - Wayan Wicke, Rebecca C. Felsheim, Lukas Brand, Vahid Jamali, Helene M. Loos, Andrea Buettner, Robert Schober:
Pulse Shaping for MC via Particle Size. - Achintya Kumar Sarkar, Zheng-Hua Tan:
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification. - Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu:
Masked Faces with Faced Masks. - C. Ramya, Anamay Tengse:
On Finer Separations between Subclasses of Read-once Oblivious ABPs. - Shashank Shekhar, Adesh Bansode, Asif Salim:
A Comparative study of Hyper-Parameter Optimization Tools. - Selahattin Cansiz, Cem Kesim, Sevval Nur Bektas, Zeynep Kulali, Murat Hasanreisoglu, Cigdem Gunduz Demir:
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images. - Roshni Chakraborty, Ritwika Das, Joydeep Chandra:
SigGAN : Adversarial Model for Learning Signed Relationships in Networks. - Piero Fraternali, Federico Milani, Rocio Nahime Torres, Niccolò Zangrando:
Black-box error diagnosis in deep neural networks: a survey of tools. - Malte Breuer, Ulrike Meyer, Susanne Wetzel:
Privacy-Preserving Maximum Matching on General Graphs and its Application to Enable Privacy-Preserving Kidney Exchange. - Jaehoon Pyun, Younggeol Cho, Seon Gyeom Kim, Woohun Lee:
Point & Select: Designing an Interaction Technique for Inputting Surrounding Point of Interests in Driving Context. - Amaury Trujillo, Stefano Cresci:
Make Reddit Great Again: Assessing Community Effects of Moderation Interventions on r/The_Donald. - Jun Xiang, Gencer Sumbul, Nimisha Thekke Madam, Begüm Demir:
A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval. - Yi Lei, Shan Yang, Xinsheng Wang, Lei Xie:
MsEmoTTS: Multi-scale emotion transfer, prediction, and control for emotional speech synthesis. - Meadhbh O'Neill, Jeff Morgan, Kevin Burke:
Process Visualization of Manufacturing Execution System (MES) Data. - Ioannis Papantonis, Vaishak Belle:
Principled Diverse Counterfactuals in Multilinear Models. - Simon Schmitt, John Shawe-Taylor, Hado van Hasselt:
Chaining Value Functions for Off-Policy Learning. - Andreas Kabel, Keith B. Hall, Tom Ouyang, David Rybach, Daan van Esch, Françoise Beaufays:
Handling Compounding in Mobile Keyboard Input. - Edgar Covantes Osuna, Dirk Sudholt:
Runtime Analysis of Restricted Tournament Selection for Bimodal Optimisation. - Daojing Guo, Khaled Nakhleh, I-Hong Hou, Sastry Kompella, Clement Kam:
A Theory of Second-Order Wireless Network Optimization and Its Application on AoI. - Nicola Rizzo, Veli Mäkinen:
Linear Time Construction of Indexable Elastic Founder Graphs. - Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao:
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection. - Zoe Papakipos, Joanna Bitton:
AugLy: Data Augmentations for Robustness. - Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury, Firoj Alam:
ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination. - Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh:
RuMedBench: A Russian Medical Language Understanding Benchmark. - Ruilin Tong:
Growing Neural Network with Shared Parameter. - Zheng Sun, Yuanzhe Wei, Kailiang Wu:
On Energy Laws and Stability of Runge-Kutta Methods for Linear Seminegative Problems. - Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang:
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. - Villiam Bortolotti, Leonardo Brizi, Germana Landi, Anastasiia Nagmutdinova, Fabiana Zama:
MUPen2DTool: a Matlab Tool for 2D Nuclear Magnetic Resonance relaxation data inversion. - Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. - Jean-Michel Begon, Pierre Geurts:
Distillation from heterogeneous unlabeled collections. - Alexander Ruch, Yujia Zhang, Michael Macy:
Demographic Confounding Causes Extreme Instances of Lifestyle Politics on Facebook. - Quirin Aumann, Steffen W. R. Werner:
Structured model order reduction for vibro-acoustic problems using interpolation and balancing methods. - Xiaoqiang Kong, Subasish Das, Hongmin Zhou, Yunlong Zhang:
Patterns of near-crash events in a naturalistic driving dataset: applying rules mining. - Philipp Haindl, Reinhold Plösch:
Focus Areas, Themes, and Objectives of Non-Functional Requirements in DevOps: A Systematic Mapping Study. - Yasin Abbasi-Yadkori, András György, Nevena Lazic:
A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits. - Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski:
Logarithmic Continual Learning. - Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae:
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning. - Yasemin Karacora, Christina Chaccour, Aydin Sezgin, Walid Saad:
Reliable Beam Tracking with Dynamic Beamwidth Adaptation in Terahertz (THz) Communications. - Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat:
OntoRealSumm : Ontology based Real-Time Tweet Summarization. - Yury Elkin, Vitaliy Kurlin:
Paired compressed cover trees guarantee a near linear parametrized complexity for all k-nearest neighbors search in an arbitrary metric space. - Alexander Ruch, Ari Decter-Frain, Raghav Batra:
Millions of Co-purchases and Reviews Reveal the Spread of Polarization and Lifestyle Politics across Online Markets. - William Dempsey, Ian T. Foster, Scott Fraser, Carl Kesselman:
Sharing Begins at Home. - Mohamed Abuagreb, Ahmed Abuhussein, Saif alZahir:
Sizing of Energy Storage System for Virtual Inertia Emulation. - Philipp Haindl, Reinhold Plösch:
Tailoring Stakeholder Interests to Task-Oriented Functional Requirements. - Arpit Bahety, Rohit Saluja, Ravi Kiran Sarvadevabhatla, Anbumani Subramanian, C. V. Jawahar:
Automatic Quantification and Visualization of Street Trees. - Ushasi Chaudhuri, Ruchika Chavhan, Biplab Banerjee, Anjan Dutta, Zeynep Akata:
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR. - Salar Mohtaj, Fatemeh Tavakkoli, Habibollah Asghari:
PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing Data Collection. - Jasine Babu, K. Murali Krishnan, Veena Prabhakaran, J. Nandini Warrier:
Eternal vertex cover number of maximal outerplanar graphs. - Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. - Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang:
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. - Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro:
Proactive Query Expansion for Streaming Data Using External Source. - Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein:
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images. - Ioannis Caragiannis, Nikolaj I. Schwartzbach:
Adjudication with Rational Jurors. - Afra Mashhadi, Alex Kyllo, Reza M. Parizi:
Fairness in Federated Learning for Spatial-Temporal Applications. - Michael Banf, Gregor Steinhagen:
Who supervises the supervisor? Model monitoring in production using deep feature embeddings with applications to workpiece inspection. - Samuel C. Pinto, Shirantha Welikala, Sean B. Andersson, Julien M. Hendrickx, Christos G. Cassandras:
Minimax Multi-Agent Persistent Monitoring of a Network System. - Gustavo Kasper Facenda, Elad Domanovitz, Ashish Khisti, Wai-Tian Tan, John G. Apostolopoulos:
Error-correcting codes for low latency streaming over multiple link relay networks. - Maryam Khalid, Emily Willis:
A Brief Survey of Machine Learning Methods for Emotion Prediction using Physiological Data. - Mengshu Sun, Haoyu Ma, Guoliang Kang, Yifan Jiang, Tianlong Chen, Xiaolong Ma, Zhangyang Wang, Yanzhi Wang:
VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. - Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu:
Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss. - Kathrin Hanauer, Monika Henzinger, Stefan Schmid, Jonathan Trummer:
Fast and Heavy Disjoint Weighted Matchings for Demand-Aware Datacenter Topologies. - Stanley Bak, Hoang-Dung Tran:
Neural Network Compression of ACAS Xu is Unsafe: Closed-Loop Verification through Quantized State Backreachability. - Eung-Joo Lee, Damon M. Conover, Shuvra S. Bhattacharyya, Heesung Kwon, Jason Hill, Kenneth Evensen:
Validation of object detection in UAV-based images using synthetic data. - Björn Liljegren-Sailer:
Effective error estimation for model reduction with inhomogeneous initial conditions. - Santiago Badia, Eric Neiva, Francesc Verdugo:
Robust high-order unfitted finite elements by interpolation-based discrete extension. - Kirill Solovev, Nicolas Pröllochs:
Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity. - Shashwat Goel, Ameya Prabhu, Ponnurangam Kumaraguru:
Evaluating Inexact Unlearning Requires Revisiting Forgetting. - Julien Abadji, Pedro Javier Ortiz Suárez, Laurent Romary, Benoît Sagot:
Towards a Cleaner Document-Oriented Multilingual Crawled Corpus. - Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque:
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception. - Gang Chen, Peng Peng, Peihan Zhang, Wei Dong:
Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments. - Haozhe Sun, Wei-Wei Tu, Isabelle Guyon:
OmniPrint: A Configurable Printed Character Synthesizer. - Bálint Varga, Jairo Inga, Sören Hohmann:
Limited Information Shared Control, a Potential Game Approach. - Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef:
Data-Centric Machine Learning in the Legal Domain. - Tahar Allouche, Jérôme Lang, Florian Yger:
Multi-winner Approval Voting Goes Epistemic. - Leo Kozachkov, Patrick M. Wensing, Jean-Jacques E. Slotine:
Generalization in Supervised Learning Through Riemannian Contraction. - Guendalina Caldarini, Sardar F. Jaf, Kenneth McGarry:
A Literature Survey of Recent Advances in Chatbots. - Yiling Jia, Hongning Wang:
Learning Neural Ranking Models Online from Implicit User Feedback. - Hao Guo, Behrooz Makki, Magnus Åström, Mohamed-Slim Alouini, Tommy Svensson:
Dynamic Blockage Pre-Avoidance using Reconfigurable Intelligent Surfaces. - Bárbara C. e Souza, Filipi Nascimento Silva, Henrique Ferraz de Arruda, Luciano da F. Costa, Diego R. Amancio:
Accessibility and Trajectory-Based Text Characterization. - Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui:
TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation. - Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou:
Improved Approximation and Scalability for Fair Max-Min Diversification. - Mubark B. Jedh, Jian Kai Lee, Lotfi Ben Othmane:
Evaluation of the Architecture Alternatives for Real-time Intrusion Detection Systems for Connected Vehicles. - Hengcan Shi, Munawar Hayat, Jianfei Cai:
Unpaired Referring Expression Grounding via Bidirectional Cross-Modal Matching. - Xiuyi Fan, Francesca Toni:
Explainable Decision Making with Lean and Argumentative Explanations. - Hengcan Shi, Munawar Hayat, Yicheng Wu, Jianfei Cai:
ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues. - Jaiyoung Park, Michael Jaemin Kim, Wonkyung Jung, Jung Ho Ahn:
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference. - Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang:
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. - Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates:
Motion Inbetweening via Deep Δ-Interpolator. - Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi:
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. - Jiansong Li, Heping Wang:
Weighted 𝓁q approximation problems on the ball and on the sphere. - Ke Shang, Tianye Shu, Hisao Ishibuchi:
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. - Jiansong Li, Heping Wang:
Optimal randomized quadrature for weighted Sobolev and Besov classes with the Jacobi weight on the ball. - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer. - Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou:
Causal Analysis Framework for Recommendation. - Bo Feng, Geoffrey C. Fox:
GTrans: Spatiotemporal Autoregressive Transformer with Graph Embeddings for Nowcasting Extreme Events. - Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh:
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization. - Huaxi Jiang, Jie Zhu, Li Yang, Geng Liang, Chun Zuo:
DeepRelease: Language-agnostic Release Notes Generation from Pull Requests of Open-source Software. - Rafael M. O. Cruz, Woshington V. de Sousa, George D. C. Cavalcanti:
Selecting and combining complementary feature representations and classifiers for hate speech detection. - Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury:
Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech. - Rongsheng Zhang, Xiaoxi Mao, Le Li, Lin Jiang, Lin Chen, Zhiwei Hu, Yadong Xi, Changjie Fan, Minlie Huang:
Youling: an AI-Assisted Lyrics Creation System. - Fengli Xu, Lingfei Wu, James A. Evans:
Flat Teams Drive Scientific Innovation. - Austin Costley, Randall Christensen, Greg N. Droge, Robert C. Leishman:
Sensitivity of Single-Pulse Radar Detection to Aircraft Pose Uncertainties. - Baris Taner, Kamesh Subbarao:
Distributed H∞ Edge Weight Synthesis for Cooperative Systems. - Jiashu Pu, Guandan Chen, Yongzhu Chang, Xiaoxi Mao:
Dialog Intent Induction via Density-based Deep Clustering Ensemble. - Zhengyuan Yang, Jingen Liu, Jing Huang, Xiaodong He, Tao Mei, Chenliang Xu, Jiebo Luo:
Cross-modal Contrastive Distillation for Instructional Activity Anticipation. - Christopher J. MacLellan, Harshil Thakur:
Convolutional Cobweb: A Model of Incremental Learning from 2D Images. - Prashant Kodali, Akshala Bhatnagar, Naman Ahuja, Manish Shrivastava, Ponnurangam Kumaraguru:
HashSet - A Dataset For Hashtag Segmentation. - Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle:
Scalable Vega: Optimizing Declarative Visualization Languages. - Wentuo Fang, Zhiyong Chen, Mohsen Zamani:
Structural Consensus in Networks with Directed Topologies and Its Cryptographic Implementation. - Ying Wang, Yuexing Peng, Xinran Liu, Wei Li, George C. Alexandropoulos, Junchuan Yu, Daqing Ge, Wei Xiang:
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images. - Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu:
Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms. - Chongxin Zhong, Qidong Zhao, Xu Liu:
BinGo: Pinpointing Concurrency Bugs in Go via Binary Analysis. - Bálint Csanády, András Lukács:
Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration. - Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang:
Active Learning for Open-set Annotation. - Sungwon Park, Sundong Kim, Meeyoung Cha:
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. - Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot:
Online Time Series Anomaly Detection with State Space Gaussian Processes. - Arjun Parthasarathy, Bhaskar Krishnamachari:
DEFER: Distributed Edge Inference for Deep Neural Networks. - Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. - Hideo Bannai, Tomohiro I, Tomasz Kociumaka, Dominik Köppl, Simon J. Puglisi:
Computing Longest (Common) Lyndon Subsequences. - Snehal Ishwar Khandve, Vedangi Wagh, Apurva Wani, Isha Joshi, Raviraj Joshi:
Hierarchical Neural Network Approaches for Long Document Classification. - Azarakhsh Keipour, Maryam Bandari, Stefan Schaal:
Deformable One-Dimensional Object Detection for Routing and Manipulation. - Nanfei Jiang, Xu Zhao, Chaoyang Zhao, Yongqi An, Ming Tang, Jinqiao Wang:
Pruning-aware Sparse Regularization for Network Pruning. - Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui:
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. - Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang:
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. - Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework. - Shuai Niu, Yunya Song, Qing Yin, Yike Guo, Xian Yang:
Label-dependent and event-guided interpretable disease risk prediction using EHRs. - Kai Lehniger, Marcin J. Aftowicz, Peter Langendörfer, Zoya Dyka:
Challenges of Return-Oriented-Programming on the Xtensa Hardware Architecture. - Akira Taniguchi, Hiroaki Murakami, Ryo Ozaki, Tadahiro Taniguchi:
Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues. - Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation. - Mina Lee, Percy Liang, Qian Yang:
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities. - Wolfgang Fuhl, Daniel Weber, Enkelejda Kasneci:
Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze. - Pascal Azérad, Marien-Lorenzo Hanot:
Numerical solution of the div-curl problem by finite element exterior calculus. - Susobhan Bandopadhyay, Sasthi C. Ghosh, Subhasis Koley:
Improved Bounds on the Span of L(1, 2)-edge Labeling of Some Infinite Regular Grids. - Kitty Li, Ninh Pham:
An Efficient Hashing-based Ensemble Method for Collaborative Outlier Detection. - Mike Wu, Will McTighe, Kaili Wang, István András Seres, Nick Bax, Manuel Puebla, Mariano Mendez, Federico Carrone, Tomás De Mattey, Herman O. Demaestri, Mariano Nicolini, Pedro Fontana:
Tutela: An Open-Source Tool for Assessing User-Privacy on Ethereum and Tornado Cash. - Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng:
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. - Peihu Duan, Lidong He, Lingying Huang, Guanrong Chen, Ling Shi:
Sensor Scheduling Design for Complex Networks under a Distributed State Estimation Framework. - Chong Chen, Fei Sun, Min Zhang, Bolin Ding:
Recommendation Unlearning. - Xiaojun Mao, Liuhua Peng, Zhonglei Wang:
Nonparametric Feature Selection by Random Forests and Deep Neural Networks. - Yuwen Li, Zhengguo Li, Chaobing Zheng, Shiqian Wu:
Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus. - Haidong Wang, Zhiyong Li, Yaping Li, Ke Nai, Ming Wen:
STURE: Spatial-Temporal Mutual Representation Learning for Robust Data Association in Online Multi-Object Tracking. - Mojtaba Shahidi Zandi, Roozbeh Rajabi:
Deep Learning Based Framework for Iranian License Plate Detection and Recognition. - Thomas Place, Marc Zeitoun:
Characterizing level one in group-based concatenation hierarchies. - Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. - Derek Xu:
Ray Based Distributed Autonomous Vehicle Research Platform. - Ziyuan Gao, Sanjay Jain, Zeyong Li, Ammar Fathin Sabili, Frank Stephan:
A Computation Model with Automatic Functions and Relations as Primitive Operations. - Khaled Youssef, Kevin Shao, Seulgi Moon, Louis-S. Bouchard:
XAI Model for Accurate and Interpretable Landslide Susceptibility. - Zhiheng Jiang, Hoai Nguyen Huynh:
Unveiling music genre structure through common-interest communities. - Rohitash Chandra, Yash Vardhan Sharma:
Surrogate-assisted distributed swarm optimisation for computationally expensive models. - Yuting Xiao, Jiale Xu, Shenghua Gao:
TaylorImNet for Fast 3D Shape Reconstruction Based on Implicit Surface Function. - Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao:
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing. - Xiaoying Zhang, Baolin Peng, Jianfeng Gao, Helen Meng:
Toward Self-Learning End-to-End Dialog Systems. - Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota:
Using Pre-Trained Models to Boost Code Review Automation. - Kaustav Goswami, Hemanta Kumar Mondal, Shirshendu Das, Dip Sankar Banerjee:
VAR-DRAM: Variation-Aware Framework for Efficient Dynamic Random Access Memory Design. - Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao:
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training. - Patrik Christen:
Modelling and Implementing Open-Ended Evolutionary Systems. - Michele Missikoff:
A Knowledge-driven Business Process Analysis Canvas. - Rasmus Larsen, Mikkel Nørgaard Schmidt:
Programmatic Policy Extraction by Iterative Local Search. - Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota:
Using Reinforcement Learning for Load Testing of Video Games. - Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri:
Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity. - Attila Nagy, Patrick Nanys, Balázs Frey Konrád, Bence Bial, Judit Ács:
Syntax-based data augmentation for Hungarian-English machine translation. - Yangming Zhou, Xiaze Zhang, Na Geng, Zhibin Jiang, Mengchu Zhou:
Frequent Itemset-driven Search for Finding Minimum Node Separators in Complex Networks. - Azzam Alhussain, Mingjie Lin:
Hardware-Efficient Deconvolution-Based GAN for Edge Computing. - Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao:
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks. - Chen Wang, Qin Hu, Dongxiao Yu, Xiuzhen Cheng:
Online Learning for Failure-aware Edge Backup of Service Function Chains with the Minimum Latency. - Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. - Ke Hu, Yi Qi, Jianqiang Huang, Jia Cheng, Jun Lei:
Continual Learning for CTR Prediction: A Hybrid Approach. - Sai Hemanth Kasaraneni:
Autoencoding Video Latents for Adversarial Video Generation. - Yutong Dai, Brian L. Price, He Zhang, Chunhua Shen:
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation. - Florian Lehmann, Daniel Buschek:
Examining Autocompletion as a Basic Concept for Interaction with Generative AI. - Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith:
The Parameterized Complexity of Welfare Guarantees in Schelling Segregation. - Wu Zhang:
Improve Sentence Alignment by Divide-and-conquer. - Hanwei Xu, Yujun Chen, Yulun Du, Nan Shao, Yanggang Wang, Haiyu Li, Zhilin Yang:
ZeroPrompt: Scaling Prompt-Based Pretraining to 1, 000 Tasks Improves Zero-Shot Generalization. - Ashwin Agrawal, Martin Fischer, Vishal Singh:
Digital Twin: From Concept to Practice. - Huansheng Ning, Zhangfeng Pi, Wenxi Wang, Fadi Farha, Shunkun Yang:
A Review on Serious Games for Disaster Relief. - Huansheng Ning, Hang Wang, Wenxi Wang, Xiaozhen Ye, Jianguo Ding, Per Backlund:
A Review on Serious Games in E-learning. - Miguel Sicart, Irina Shklovski, Mirabelle Jones:
Can Machine Learning be Moral? - Ramses Sala:
Computational Rational Engineering and Development: Synergies and Opportunities. - Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles:
A Synthetic Prediction Market for Estimating Confidence in Published Work. - Priyanga Dilini Talagala, Thiyanga S. Talagala:
COVID-19 and Online Learning Tools. - Xiaoyang Shi, Hang Xiao, Weifeng Liu, Xi Chen, Klaus S. Lackner, Vitalik Buterin, Thomas F. Stocker:
Confronting the Carbon-footprint Challenge of Blockchain. - Maximilian Schäfer, Kun Zhao, Markus Bühren, Anton Kummert:
Context-Aware Scene Prediction Network (CASPNet). - Jun Jiang, Yuhong Liu:
Secure IoT Routing: Selective Forwarding Attacks and Trust-based Defenses in RPL Network. - Joshua Shunk:
Neuron-Specific Dropout: A Deterministic Regularization Technique to Prevent Neural Networks from Overfitting & Reduce Dependence on Large Training Samples. - Pasquale Nardone, Giorgio Sonnino:
Simple algorithm for GCD of polynomials. - Sujanya Suresh, Savitha Ramasamy, Ponnuthurai N. Suganthan, Cheryl Sze Yin Wong:
Incremental Knowledge Tracing from Multiple Schools. - Luca Chiaraviglio, Chiara Lodovisi, Daniele Franci, Enrico Grillo, Settimio Pavoncello, Tommaso Aureli, Nicola Blefari-Melazzi, Mohamed-Slim Alouini:
What is the Impact of 5G Towers on the Exposure over Children, Teenagers and Sensitive Buildings? - Emanuel Ben Baruch, Matan Karklinsky, Yossi Biton, Avi Ben-Cohen, Hussam Lawen, Nadav Zamir:
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing. - Salwa Saafi, Olga G. Vikhrova, Gábor Fodor, Jiri Hosek, Sergey Andreev:
AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking. - Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal:
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems. - Ghodai Abdelrahman, Qing Wang, Bernardo Pereira Nunes:
Knowledge Tracing: A Survey. - Arun Sharma, Majid Farhadloo, Yan Li, Aditya Kulkarni, Jayant Gupta, Shashi Shekhar:
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. - Gokhan Altintas:
Finding Shortest Path on a Terrain Surface by Using Finite Element Method. - Shaghayegh Zamani Ashtiani, Mujeeb R. Malik, Hessam Babaee:
Scalable In Situ Compression of Transient Simulation Data Using Time-Dependent Bases. - Julius Schöning, Adrian Riechmann, Hans-Jürgen Pfisterer:
AI for Closed-Loop Control Systems - New Opportunities for Modeling, Designing, and Tuning Control Systems. - Weiming Hu, Guido Cervone, Matteo Turilli, André Merzky, Shantenu Jha:
A Scalable Solution for Running Ensemble Simulations for Photovoltaic Energy. - (Withdrawn) There is a Singularity in the Loss Landscape.
- Florian Cafiero, Jeremy K. Ward:
Reinforcement of vaccine mandates and public attitudes towards vaccines: What can we learn from google search activity ? - Manuel J. Gomez, Mario Calderón, Victor Sánchez, Félix J. García Clemente, José A. Ruipérez-Valiente:
Large Scale Analysis of Open MOOC Reviews to Support Learners' Course Selection. - Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos, Antonio Artés-Rodríguez:
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. - Helena Dudycz, Marcin Hernes, Zdzislaw Kes, Eunika Mercier-Laurent, Bartlomiej Nita, Krzysztof Nowosielski, Piotr Oleksyk, Mieczyslaw L. Owoc, Rafal Palak, Maciej Pondel, Krystian Wojtkiewicz:
A conceptual framework of Intelligent Management Control System for Higher Education. - Nick Pope, Geoffrey Goodell:
Identification for Accountability vs Privacy. - Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang:
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. - Donald Shenaj, Francesco Barbato, Umberto Michieli, Pietro Zanuttigh:
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation. - Amitay Eldar, Ido Amos, Yoel Shkolnisky:
ASOCEM: Automatic Segmentation Of Contaminations in cryo-EM. - Jun Otsuka, Hayato Saigo:
On the Equivalence of Causal Models: A Category-Theoretic Approach. - Noga H. Rotman, Yaniv Ben-Itzhak, Aran Bergman, Israel Cidon, Igor Golikov, Alex Markuze, Eyal Zohar:
CloudCast: Characterizing Public Clouds Connectivity. - Andreas B. Ofner, Achilles Kefalas, Stefan Posch, Bernhard C. Geiger:
Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach. - Alessio Carpegna, Alessandro Savino, Stefano Di Carlo:
FPGA-optimized Hardware acceleration for Spiking Neural Networks. - Xiaozhen Liu, Jing Zhou, Nuo Huang, Wenyi Zhang:
Improved Receivers for Optical Wireless OFDM: An Information Theoretic Perspective. - Mredulraj S. Pandianchery, Gopalakrishnan E. A, V. Sowmya, Vinayakumar Ravi, Soman K. P:
Explainable AI Framework for COVID-19 Prediction in Different Provinces of India. - Md. Manjurul Ahsan, Zahed Siddique:
Industry 4.0 in Health care: A systematic review. - Fan Meng, Tao Song, Danya Xu:
TCR-GAN: Predicting tropical cyclone passive microwave rainfall using infrared imagery via generative adversarial networks. - Jonas Cremerius, Mathias Weske:
Supporting Domain Data Selection in Data-Enhanced Process Models. - Valentyna Kovalenko, Maiia V. Marienko, Alisa Sukhikh:
Use of augmented and virtual reality tools in a general secondary education institution in the context of blended learning. - Mengyue Zha:
Time Series Generation with Masked Autoencoder. - Stanislav Fort:
Adversarial vulnerability of powerful near out-of-distribution detection. - Anabik Pal, Zhiyun Xue, Sameer K. Antani:
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets. - Tao Huang, Jiachen Wang, Xiao Chen:
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning. - Perfect Y. Gidisu, Michiel E. Hochstenbach:
A hybrid DEIM and leverage scores based method for CUR index selection. - Pei Fu, Thomas Frachon, Gunilla Kreiss, Sara Zahedi:
High order discontinuous cut finite element methods for linear hyperbolic conservation laws with an interface. - Kunhao Yuan, Gerald Schaefer, Yu-Kun Lai, Yifan Wang, Xiyao Liu, Lin Guan, Hui Fang:
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation. - Tannista Banerjee, Ayan Paul, Vishak Srikanth, Inga Strümke:
Socioeconomic disparities and COVID-19: the causal connections. - Wei Cheng, Xiangrong Zhu, Wei Hu:
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph. - Savvas D. Apostolidis, Pavlos Ch. Kapoutsis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos:
Cooperative Multi-UAV Coverage Mission Planning Platform for Remote Sensing Applications. - Marcus Weber, Konstantin Fackeldey:
The Mathematics of Comparing Objects. - Gongjin Lan, Ting Liu, Xu Wang, Xueli Pan, Zhisheng Huang:
A Semantic Web Technology Index. - Xiaoying Dai, Stefano de Gironcoli, Bin Yang, Aihui Zhou:
Mathematical Analysis and Numerical Approximations of Density Functional Theory Models for Metallic Systems. - Alessandro Bazzi, Stefania Bartoletti, Alberto Zanella, Vincent Martinez:
Analysis of IEEE 802.11p Preamble Insertion in Sidelink C-V2X Signals to Improve Co-Channel Coexistence. - Kathrin Blagec, Jakob Kraiger, Wolfgang Frühwirt, Matthias Samwald:
Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals. - Christoph Lehrenfeld, Paul Stocker:
Embedded Trefftz discontinuous Galerkin methods. - Mattia Lecci, Federico Chiariotti, Matteo Drago, Andrea Zanella, Michele Zorzi:
Temporal Characterization of XR Traffic with Application to Predictive Network Slicing. - Tianyu Fang, Yijie Mao, Shanpu Shen, Zhencai Zhu, Bruno Clerckx:
Fully Connected Reconfigurable Intelligent Surface Aided Rate-Splitting Multiple Access for Multi-User Multi-Antenna Transmission. - Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. - Hyun-Suk Lee:
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy. - Xingyu Zhou:
Differentially Private Reinforcement Learning with Linear Function Approximation. - Anjali Nair, Qin Li, Weiran Sun:
Second-order diffusion limit for the phonon transport equation-asymptotics and numerics. - Sourav Mondal, Marco Ruffini:
A Min-Max Fair Resource Allocation Framework for Optical x-haul and DU/CU in Multi-tenant O-RANs. - Jan Glaubitz, Anne Gelb, Guohui Song:
Generalized sparse Bayesian learning and application to image reconstruction. - Phung Lai, NhatHai Phan, Abdallah Khreishah, Issa Khalil, Xintao Wu:
Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning. - Marco Tranzatto, Frank Mascarich, Lukas Bernreiter, Carolina Godinho, Marco Camurri, Shehryar Khattak, Tung Dang, Victor Reijgwart, Johannes Loeje, David Wisth, Samuel Zimmermann, Huan Nguyen, Marius Fehr, Lukas Solanka, Russell Buchanan, Marko Bjelonic, Nikhil Khedekar, Mathieu Valceschini, Fabian Jenelten, Mihir Dharmadhikari, Timon Homberger, Paolo De Petris, Lorenz Wellhausen, Mihir Kulkarni, Takahiro Miki, Satchel Hirsch, Markus Montenegro, Christos Papachristos, Fabian Tresoldi, Jan Carius, Giorgio Valsecchi, Joonho Lee, Konrad Meyer, Xiangyu Wu, Juan I. Nieto, Andy Smith, Marco Hutter, Roland Siegwart, Mark W. Mueller, Maurice F. Fallon, Kostas Alexis:
CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge. - Minh-Quan Dao, Elwan Héry, Vincent Frémont:
Attention-based Proposals Refinement for 3D Object Detection. - Rui Luo, Vikram Krishnamurthy:
Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks. - Xian Wang, Diego Monteiro, Lik-Hang Lee, Pan Hui, Hai-Ning Liang:
VibroWeight: Simulating Weight and Center of Gravity Changes of Objects in Virtual Reality for Enhanced Realism. - Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan:
Inducing Structure in Reward Learning by Learning Features. - Wenjie Du, David Côté, Chris Barber, Yan Liu:
Forecasting Loss of Signal in Optical Networks with Machine Learning. - Jafar Norolahi, Paeiz Azmi:
A Machine Learning Based Algorithm for Joint Improvement of Power Control, link adaptation, and Capacity in Beyond 5G Communication systems. - Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta:
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. - Tao Chen:
Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction? - Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
Inferring Commonsense Explanations as Prompts for Future Event Generation. - Bin Guo, Emil Sekerinski:
Simplified Algorithms for Order-Based Core Maintenance. - Jordi Planas, Daniel Firebanks-Quevedo, Galina Naydenova, Ramansh Sharma, Cristina Taylor, Kathleen Buckingham, Rong Fang:
Beyond modeling: NLP Pipeline for efficient environmental policy analysis. - Xiaofeng Liu, Fangxu Xing, Thibault Marin, Georges El Fakhri, Jonghye Woo:
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures. - Mehmet Efruz Karabulut, K. Vijay-Shanker:
Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Task. - Rumi Melih Pelen:
Three Weight Ternary Linear Codes from Non-Weakly Regular Bent Functions. - Carsten Wiecher, Philipp Tendyra, Carsten Wolff:
Scenario-based Requirements Engineering for Complex Smart City Projects. - Satya Prakash Nayak, Daniel Neider, Rajarshi Roy, Martin Zimmermann:
Robust Computation Tree Logic. - Violetta Weger, Niklas Gassner, Joachim Rosenthal:
A Survey on Code-Based Cryptography. - Ajay Soni, Pratik Padamwar, Krishna Reddy Konda:
Contextual road lane and symbol generation for autonomous driving. - Hafiz Zeeshan Iqbal Khan, Jahanzeb Rajput, Jamshed Riaz:
Reconfigurable Control of a Class of Multicopters. - Mohsen Raoufi, Heiko Hamann, Pawel Romanczuk:
Speed-vs-Accuracy Tradeoff in Collective Estimation: An Adaptive Exploration-Exploitation Case. - Yan Zhao, Lingjun Zhao, Zhong Liu, Dewen Hu, Gangyao Kuang, Li Liu:
Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery. - Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. - Feihu Jin, Jinliang Lu, Jiajun Zhang, Chengqing Zong:
Instance-aware Prompt Learning for Language Understanding and Generation. - Cole Hawkins, Alec Koppel, Zheng Zhang:
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy. - Alexandros Haliassos, Rodrigo Mira, Stavros Petridis, Maja Pantic:
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection. - Giovanni De Toni, Bruno Lepri, Andrea Passerini:
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. - Matteo Castiglioni, Alessandro Nuara, Giulia Romano, Giorgio Spadaro, Francesco Trovò, Nicola Gatti:
Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty. - Matteo Zallio, Takumi Ohashi:
The Evolution of Assistive Technology: A Literature Review of Technology Developments and Applications. - Kaan Gökcesu, Hakan Gökcesu:
Low Regret Binary Sampling Method for Efficient Global Optimization of Univariate Functions. - Julian D. Cortes:
What is the mission of innovation? - Tarik Taleb, Ibrahim Afolabi, Miloud Bagaa:
Orchestrating 5G Network Slices to Support Industrial Internet and to Shape Next-Generation Smart Factories. - Mariem Maiouak, Tarik Taleb:
Dynamic maps for automated driving and UAVs geofencing. - Ibrahim Afolabi, Tarik Taleb, Pantelis A. Frangoudis, Miloud Bagaa, Adlen Ksentini:
Network Slicing-Based Customization of 5G Mobile Services. - Aggelos Kiayias, Philip Lazos:
SoK: Blockchain Governance. - Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction. - Gabriele Pozzato, Denise Rizzo, Simona Onori:
Sensitivity analysis of a mean-value exergy-based internal combustion engine model. - Robert E. Tarjan, Uri Zwick:
Finding Strong Components Using Depth-First Search. - Dennis Aumiller, Michael Gertz:
Klexikon: A German Dataset for Joint Summarization and Simplification. - Umang Aggarwal, Adrian Popescu, Céline Hudelot:
Optimizing Active Learning for Low Annotation Budgets. - Hao Li, Cor-Paul Bezemer:
Studying Popular Open Source Machine Learning Libraries and Their Cross-Ecosystem Bindings. - Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens:
GANmouflage: 3D Object Nondetection with Texture Fields. - Keith Burghardt, Kristina Lerman:
Emergent Instabilities in Algorithmic Feedback Loops. - Sitan Chen, Jerry Li, Yuanzhi Li, Raghu Meka:
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs. - Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch:
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents. - Joao P. A. Dantas, Andre N. Costa, Marcos R. O. A. Máximo, Takashi Yoneyama:
Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem. - (Withdrawn) Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks.
- Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time. - Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang:
Human-Level Control through Directly-Trained Deep Spiking Q-Networks. - David:
Using Particle Swarm Optimization as Pathfinding Strategy in a Space with Obstacles. - Satoshi Kamo, Yiqiang Sheng:
Layerwise Geo-Distributed Computing between Cloud and IoT. - Satoshi Kamo, Yiqiang Sheng:
Wide Area Network Intelligence with Application to Multimedia Service. - Bruno Mazorra, Victor Adan, Vanesa Daza:
Do not rug on me: Zero-dimensional Scam Detection. - Wanqi Xue, Bo An, Chai Kiat Yeo:
NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. - Diogo Faustino, Nuno Gonçalves, Manuel Portela, António Rito Silva:
Stepwise Migration of a Monolith to a Microservices Architecture: Performance and Migration Effort Evaluation. - Jagtap Kalyani Devendra, Kundan Kandhway:
Optimal Lockdown to Manage an Epidemic. - Arthur N. Montanari, Chao Duan, Luis Antonio Aguirre, Adilson E. Motter:
Functional observability and target state estimation in large-scale networks. - Andrea Downing, Eric Perakslis:
Health Advertising on Facebook: Privacy & Policy Considerations. - Nicolas Perez:
Exploring Kervolutional Neural Networks. - Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes, Andriy V. Miranskyy:
EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates. - Siddharth Bhat, Tobias Grosser:
Lambda the Ultimate SSA: Optimizing Functional Programs in SSA. - Alexander Thaller, Zoltán Kovács:
Online Generation of Proofs Without Words. 103-105 - Wolfgang Windsteiger:
Automated Theorem Proving in the Classroom. 54-63 - Clemens Dubslaff, Kallistos Weis, Christel Baier, Sven Apel:
Causality in Configurable Software Systems. - Hang Jiang, Yining Hua, Doug Beeferman, Deb Roy:
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis. - Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data. - Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv:
Conservative Distributional Reinforcement Learning with Safety Constraints. - Debarnab Mitra, Lev Tauz, Lara Dolecek:
Polar Coded Merkle Tree: Improved Detection of Data Availability Attacks in Blockchain Systems. - Thomas Zacharias, Ashutosh Taklikar, Raja Giryes:
Extending the Vocabulary of Fictional Languages using Neural Networks. - Akbar Rafiey, Yuichi Yoshida:
Sparsification of Decomposable Submodular Functions. - Ariel Rosenfeld, Ehud Shapiro, Nimrod Talmon:
Proportional Ranking in Primary Elections: A Case Study. - Sayak Ray Chowdhury, Patrick Saux, Odalric-Ambrym Maillard, Aditya Gopalan:
Bregman Deviations of Generic Exponential Families. - Xinan Chen, Anh Phong Tran, Rena Elkin, Helene Benveniste, Allen R. Tannenbaum:
Visualizing fluid flows via regularized optimal mass transport with applications to neuroscience. - Jernej Hribar, Ivana Dusparic:
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network. - Qiao Gu, Brian Okorn, David Held:
OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation. - Stella Biderman, Kieran Bicheno, Leo Gao:
Datasheet for the Pile. - Qianlin Liang, Walid A. Hanafy, Ahmed Ali-Eldin, Prashant J. Shenoy:
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds. - Morris Stallmann, Anna Wilbik:
Towards Federated Clustering: A Federated Fuzzy c-Means Algorithm (FFCM). - Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu:
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis. - Navpreet Kaur, Jason Hughes, Juntao Chen:
VaxEquity: A Data-Driven Risk Assessment and Optimization Framework for Equitable Vaccine Distribution. - Siyuan Shan, Vishal Baskaran, Haidong Yi, Jolene Ranek, Natalie Stanley, Junier Oliva:
Interpretable Single-Cell Set Classification with Kernel Mean Embeddings. - Salem Aljanah, Ning Zhang, Siok Wah Tay:
A Multi-factor Multi-level and Interaction based (M2I) Authentication Framework for Internet of Things (IoT) Applications. - Daria Sushnikova, Leslie Greengard, Michael O'Neil, Manas Rachh:
FMM-LU: A fast direct solver for multiscale boundary integral equations in three dimensions. - Harsh Sharma, Mayuresh Patil, Craig A. Woolsey:
Hermite-based, One-step, Variational and Galerkin Time Integrators for Mechanical Systems. - Kirtus G. Leyba, Joshua J. Daymude, Jean-Gabriel Young, M. E. J. Newman, Jennifer Rexford, Stephanie Forrest:
Cutting Through the Noise to Infer Autonomous System Topology. - Siu Wun Cheung, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh:
Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition. - Sean Deyo, Veit Elser:
Learning grammar with a divide-and-concur neural network. - Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal:
Learning Tensor Representations for Meta-Learning. - John Kuszmaul:
Bamboo Trimming Revisited: Simple Algorithms Can Do Well Too. - Finlay Macklon, Markos Viggiato, Cor-Paul Bezemer, Natalia Romanova, Chris Buzon, Dale Paas:
A Taxonomy of HTML5 Canvas Bugs. - Minzhao Lyu, Hassan Habibi Gharakheili, Craig Russell, Vijay Sivaraman:
Analyzing Enterprise DNS Traffic to Classify Assets and Track Cyber-Health. - M. Andrecut:
Sandbox Sample Classification Using Behavioral Indicators of Compromise. - Zoltán Kovács, Tomás Recio, M. Pilar Vélez:
GeoGebra Discovery in Context. 141-147 - Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue:
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization. - Liang Ding, Keqin Peng, Dacheng Tao:
Improving Neural Machine Translation by Denoising Training. - Yue Ruan, Han-Hung Lee, Ke Zhang, Angel X. Chang:
TriCoLo: Trimodal Contrastive Loss for Fine-grained Text to Shape Retrieval. - Yu Feng, Nathan Goulding-Hotta, Asif Khan, Hans Reyserhove, Yuhao Zhu:
Real-Time Gaze Tracking with Event-Driven Eye Segmentation. - Yao Yao, Zhuolun Wang, Peng Luo, Hanyu Yin, Ziqi Liu, Jiaqi Zhang, Nengjing Guo, Qingfeng Guan:
RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference. - Shubin Fu, Eric T. Chung, Lina Zhao:
Generalized multiscale finite element method for highly heterogeneous compressible flow. - Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang:
Prospective Learning: Back to the Future. - Robert E. Kent:
FOLE Equivalence. - Archisman Ghosh, Jose Maria Bermudo Mera, Angshuman Karmakar, Debayan Das, Santosh Ghosh, Ingrid Verbauwhede, Shreyas Sen:
A 334uW 0.158mm2 Saber Learning with Rounding based Post-Quantum Crypto Accelerator. - Sara Farazi, Davood Rafiei:
Tracking Where Events Take Place: Reverse Spatial Term Queries on Streaming Data. - Omid Abbasi, Halim Yanikomeroglu:
UxNB-Enabled Cell-Free Massive MIMO with HAPS-Assisted Sub-THz Backhauling. - Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu:
Unveiling Project-Specific Bias in Neural Code Models. - Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian:
Online Deep Learning based on Auto-Encoder. - Zinan Xiong, Chenxi Wang, Ying Li, Yan Luo, Yu Cao:
Swin-Pose: Swin Transformer Based Human Pose Estimation. - Han Zhang, Hao Zhou, Melike Erol-Kantarci:
Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN). - Lingzhi Zhao, Ying Cui, Sheng Yang, Shlomo Shamai:
An Optimization Framework for General Rate Splitting for General Multicast. - Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home. - Ni Ding:
Kantorovich Mechanism for Pufferfish Privacy. - Xudong Pan, Mi Zhang, Yifan Yan:
UTAF: A Universal Approach to Task-Agnostic Model Fingerprinting. - Chingis Oinar, Binh Minh Le, Simon S. Woo:
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition. - Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo:
Overview frequency principle/spectral bias in deep learning. - Xi Li, Yan Luo, Minfu Feng:
An efficient Chorin-Temam projection proper orthogonal decomposition based reduced-order model for nonstationary Stokes equations. - Yinghui He, Yunlong Cai, Hao Mao, Guanding Yu:
RIS-Assisted Communication Radar Coexistence: Joint Beamforming Design and Analysis. - Francesco Malandrino, Carla-Fabiana Chiasserini:
Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost. - Stella Biderman, Edward Raff:
Neural Language Models are Effective Plagiarists. - Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. - Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel:
Poseur: Direct Human Pose Regression with Transformers. - Samuel Judson, Joan Feigenbaum:
On Heuristic Models, Assumptions, and Parameters. - Nan Sun, Chang-Tsun Li, Hin Chan, Ba Dung Le, Md Zahidul Islam, Leo Yu Zhang, Md. Rafiqul Islam, Warren Armstrong:
Defining Security Requirements with the Common Criteria: Applications, Adoptions, and Challenges. - Siddharth Barman, Anand Krishna, Y. Narahari, Soumyarup Sadhukhan:
Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations. - Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin:
Cross-Language Binary-Source Code Matching with Intermediate Representations. - Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-zeid:
Online Distributed Coordinated Precoding for Virtualized MIMO Networks with Delayed CSI. - Haoran Bai, Jinshan Pan:
Self-Supervised Deep Blind Video Super-Resolution. - Yueyi Jiang, Yunfan Jiang, Liu Leqi, Piotr Winkielman:
Many Ways to be Lonely: Fine-grained Characterization of Loneliness and its Potential Changes in COVID-19. - Hadi Hosseini, Andrew Searns, Erel Segal-Halevi:
Ordinal Maximin Share Approximation for Chores. - Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Yuxuan Zhang, Xiang Wan, Shiming Ge:
WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking. - Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu:
Variable Augmented Network for Invertible MR Coil Compression. - Yu Wang, Xinsheng Wang, Pengcheng Zhu, Jie Wu, Hanzhao Li, Heyang Xue, Yongmao Zhang, Lei Xie, Mengxiao Bi:
Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis. - Mohammad Mousavi, Meng Wu:
ISO and DSO Coordination: A Parametric Programming Approach. - (Withdrawn) Interpreting Arabic Transformer Models.
- Rafael Ferreira da Silva, Kyle Chard, Henri Casanova, Dan Laney, Dong H. Ahn, Shantenu Jha, William E. Allcock, Gregory Bauer, Dmitry Duplyakin, Bjoern Enders, Todd M. Heer, Eric Lancon, Sergiu Sanielevici, Kevin Sayers:
Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows. - Doyeon Kim, Woonghyun Ka, Pyunghwan Ahn, Donggyu Joo, Sewhan Chun, Junmo Kim:
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth. - Nikolaos I. Miridakis, Zheng Shi, Theodoros A. Tsiftsis, Guanghua Yang:
Extreme Age of Information for Wireless-Powered Communication Systems. - Dabiao Ma, Zhiba Su, Yitong Zhang, Meng Li, Feng Ye:
MHTTS: Fast multi-head text-to-speech for spontaneous speech with imperfect transcription. - Yanzhen Ren, Ting Liu, Liming Zhai, Lina Wang:
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks. - Emil Zagar:
Arc length preserving approximation of circular arcs by Pythagorean-hodograph curves of degree seven. - Veronika Arefieva, Roman Egger:
TourBERT: A pretrained language model for the tourism industry. - Linhao Qu, Shaolei Liu, Manning Wang, Shiman Li, Siqi Yin, Qin Qiao, Zhijian Song:
TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning. - Seth Karten, Siddharth Agrawal, Mycal Tucker, Dana Hughes, Michael Lewis, Julie Shah, Katia P. Sycara:
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication. - Christian Lienen, Marco Platzner:
ReconROS Executor: Event-Driven Programming of FPGA-accelerated ROS 2 Applications. - John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi:
Using Self-Supervised Pretext Tasks for Active Learning. - Yang Su, Damith C. Ranasinghe:
Leaving Your Things Unattended is No Joke! Memory Bus Snooping and Open Debug Interface Exploits. - Jiawei Duan, Qingqing Ye, Haibo Hu:
Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. - Roshni Chakraborty, Maitry Bhavsar, Sourav Kumar Dandapat, Joydeep Chandra:
Detecting Stance in Tweets : A Signed Network based Approach. - Alain Franc:
Tensor Ranks for the Pedestrian for Dimension Reduction and Disentangling Interactions. - Albert Benveniste, Jean-Baptiste Raclet:
Mixed Nondeterministic-Probabilistic Automata: Blending graphical probabilistic models with nondeterminism. - Yuanzhan Li, Yuqi Liu, Yujie Lu, Siyu Zhang, Shen Cai, Yanting Zhang:
High-fidelity 3D Model Compression based on Key Spheres. - Qiuyun Zou, Hongwen Yang:
A Concise Tutorial on Approximate Message Passing. - Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini:
Development of Fake News Model using Machine Learning through Natural Language Processing. - Zuo-Wei Yeh, Chia-Hua Hsu, Alexander James White, Chen-Fu Yeh, Wen-Chieh Wu, Cheng-Te Wang, Chung-Chuan Lo, Kea-Tiong Tang:
POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons. - Steve Ahlswede, Thekke Madam Nimisha, Christian Schulz, Birgit Kleinschmit, Begüm Demir:
Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods. - Utsav Banerjee, Anantha P. Chandrakasan:
A Low-Power BLS12-381 Pairing Crypto-Processor for Internet-of-Things Security Applications. - Francesco Sgherzi, Alberto Parravicini, Marco Domenico Santambrogio:
A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems. - Álvaro López-Raventós, Boris Bellalta:
Multi-link Operation in IEEE 802.11be WLANs. - Gianira N. Alfarano, Alberto Ravagnani, Emina Soljanin:
Dual-Code Bounds on Multiple Concurrent (Local) Data Recovery. - Max van Haren, Maurice Poot, Dragan Kostic, Robin van Es, Jim Portegies, Tom Oomen:
Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder. - Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. - Yuting Zhan, Alex Kyllo, Afra Mashhadi, Hamed Haddadi:
Privacy-Aware Human Mobility Prediction via Adversarial Networks. - Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer:
CM3: A Causal Masked Multimodal Model of the Internet. - Domenico Cotroneo, Luigi De Simone, Roberto Natella:
ThorFI: A Novel Approach for Network Fault Injection as a Service. - Sara Ceschia, Luca Di Gaspero, Andrea Schaerf:
Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results. - Chong Jin Ong, Ilayda Canyakmaz:
Consensus of Network of Homogeneous Agents with General Linear Dynamics. - Wojciech Kusa, Allan Hanbury, Petr Knoth:
Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study. - Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann:
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. - Alfonso Semeraro, Salvatore Vilella, Giancarlo Ruffo, Massimo Stella:
Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns. - Cailian Yang, Xianghao Liao, Yuhao Wang, Minghui Zhang, Qiegen Liu:
Virtual Coil Augmentation Technology for MRI via Deep Learning. - Sara Björk, Jonas Nordhaug Myhre, Thomas Haugland Johansen:
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders. - W. Wilfred Godfrey:
Effect of intervention policies in an agent based spatial epidemic model of Gwalior. - Roy Fairstein, Reshef Meir, Dan Vilenchik, Kobi Gal:
Welfare vs. Representation in Participatory Budgeting. - Christian Bayer, Peter K. Friz, Nikolas Tapia:
Stability of Deep Neural Networks via discrete rough paths. - Le Yang, Fu-Chun Zheng, Shi Jin:
Spatio-Temporal Analysis of SINR Meta Distribution for mmWave Heterogeneous Networks Under Geo/G/1 Queues. - Toon De Pessemier, Sander Vanhove, Luc Martens:
Batch versus Sequential Active Learning for Recommender Systems. - Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger:
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation. - Oliver R. A. Dunbar, Charles M. Elliott, Lisa Maria Kreusser:
Models for information propagation on graphs. - Elisa Gorla, Cristina Landolina:
Quasi optimal anticodes: structure and invariants. - Zhongyuan Guo, Hong Zheng, Changhui You, Tianyu Wang, Chang Liu:
DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery identification of anti-counterfeiting QR code. - Antonio Albanese, Guillermo Encinas-Lago, Vincenzo Sciancalepore, Xavier Costa-Pérez, Dinh-Thuy Phan-Huy, Stéphane Ros:
RIS-Aware Indoor Network Planning: The Rennes Railway Station Case. - Xinjie Dai, Jialin Hong, Derui Sheng, Tau Zhou:
Strong error analysis of Euler methods for overdamped generalized Langevin equations with fractional noise: Nonlinear case. - Abhishek Sharma, Yash Shah, Yash Agrawal, Prateek Jain:
Real-time Recognition of Yoga Poses using computer Vision for Smart Health Care. - Dawei Li, Di Liu, Yangkun Ren, Ziyi Wang, Yu Sun, Zhenyu Guan, Qianhong Wu, Jianwei Liu:
CyberRadar: A PUF-based Detecting and Mapping Framework for Physical Devices. - Shigang Li, Torsten Hoefler:
Near-Optimal Sparse Allreduce for Distributed Deep Learning. - Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer:
repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR Experiments. - Avadesh Meduri, Paarth Shah, Julian Viereck, Majid Khadiv, Ioannis Havoutis, Ludovic Righetti:
BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning. - Werner van der Veen:
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks. - Feng Wei, Zhenbo Chen, Zhenghong Hao, Fengxin Yang, Hua Wei, Bing Han, Sheng Guo:
Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents. - (Withdrawn) FRA-LSTM: A Vessel Trajectory Prediction Method Based on Fusion of the Forward and Reverse Sub-Network.
- Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu:
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo. - Rushabh Musthyala, Rudrajit Kargupta, Hritish Jain, Dipanjan Chakraborty:
ReGNL: Rapid Prediction of GDP during Disruptive Events using Nightlights. - Reto Gubelmann, Siegfried Handschuh:
Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns. - Naresh Modina, Rachid El Azouzi, Francesco De Pellegrini, Daniel Sadoc Menasché, Rosa Figueiredo:
Joint Traffic Offloading and Aging Control in 5G IoT Networks. - Oron Nir, Gal Rapoport, Ariel Shamir:
CAST: Character labeling in Animation using Self-supervision by Tracking. - Timo Breuer, Norbert Fuhr, Philipp Schaer:
Validating Simulations of User Query Variants. - Matthieu Rosenfeld:
It is undecidable whether the growth rate of a given bilinear system is 1. - Shien Zhu, Luan H. K. Duong, Hui Chen, Di Liu, Weichen Liu:
FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks. - Aleksei Tyrylgin, Maria V. Vasilyeva, Anatoly A. Alikhanov, Dongwoo Sheen:
A computational macroscale model for the time fractional poroelasticity problem in fractured and heterogeneous media. - Philipp Rosenthal, Oliver Niggemann:
Problem examination for AI methods in product design. - Martin Szomszor, Euan A. Adie:
Overton - A bibliometric database of policy document citations. - Muhammad Muneeb Saad, Ruairi O'Reilly, Mubashir Husain Rehmani:
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis. - Zhenshuo Chen, Eoin Brophy, Tomás Ward:
Malware Classification Using Static Disassembly and Machine Learning. - Miles Frantz:
Enhancing CryptoGuards Deployability for Continuous Software Security Scanning. - Marsela Polic, Marko Car, Jelena Tabak, Matko Orsag:
Robotic Irrigation Water Management: Estimating Soil Moisture Content by Feel and Appearance. - Darren Cobian:
Comprehensive Efficiency Analysis of Machine Learning Algorithms for Developing Hardware-Based Cybersecurity Countermeasures. - Hyewon Seo, Kaifeng Zou, Frederic Cordier:
DSNet: Dynamic Skin Deformation Prediction by Recurrent Neural Network. - Christian Reul, Stefan Tomasek, Florian Langhanki, Uwe Springmann:
Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning. - Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart:
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. - Mauricio Jacobo-Romero, André Freitas:
Microeconomic Foundations of Decentralised Organisations. - Arian Askari, Suzan Verberne, Gabriella Pasi:
Expert Finding in Legal Community Question Answering. - Christoph Kilian Theil, Dirk Hovy, Heiner Stuckenschmidt:
Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts. - Jessie Galasso, Michalis Famelis, Houari A. Sahraoui:
Code Sophistication: From Code Recommendation to Logic Recommendation. - Chao Qi, Jianqin Yin:
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds. - Wiebke Toussaint, Akhil Mathur, Fahim Kawsar, Aaron Yi Ding:
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows. - Yuguang Yue, Yuanpu Xie, Huasen Wu, Haofeng Jia, Shaodan Zhai, Wenzhe Shi, Jonathan J. Hunt:
Learning to Rank For Push Notifications Using Pairwise Expected Regret. - Wolfgang Fuhl:
GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection. - Kirill V. Andreev, Pavel S. Rybin, Alexey A. Frolov:
Coded Compressed Sensing with List Recoverable Codes for the Unsourced Random Access. - Khwima Mckinley Mkamanga, Simon Thorne:
Exploring Spreadsheet Use and Practices in a Technologically Constrained Setting. - Susanne K. Suter, Georg Ralph Spinner, Bianca Hoelz, Sofia Rey, Sujeanthraa Thanabalasingam, Jens Eckstein, Sven Hirsch:
Visualization and Analysis of Wearable Health Data From COVID-19 Patients. - Stephen McAleer, Kevin Wang, John B. Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, Roy Fox:
Anytime PSRO for Two-Player Zero-Sum Games. - Irene Viola, Shishir Subramanyam, Jie Li, Pablo César:
On the impact of VR assessment on the Quality of Experience of Highly Realistic Digital Humans. - Zhexin Li, Tong Yang, Peisong Wang, Jian Cheng:
Q-ViT: Fully Differentiable Quantization for Vision Transformer. - Arthi Padmanabhan, Neil Agarwal, Anand P. Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali:
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge. - Abhishek Balasubramaniam, Sudeep Pasricha:
Object Detection in Autonomous Vehicles: Status and Open Challenges. - Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang:
Debiased Graph Neural Networks with Agnostic Label Selection Bias. - Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy:
Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces. - Tarik Taleb, Ibrahim Afolabi, Konstantinos Samdanis, Faqir Zarrar Yousaf:
On Multi-domain Network Slicing Orchestration Architecture & Federated Resource Control. - Tarik Taleb, Djamel Eddine Bensalem, Abdelquoddouss Laghrissi:
Smart Service-Oriented Clustering for Dynamic Slice Configuration. - Hamed Hellaoui, Ali Chelli, Miloud Bagaa, Tarik Taleb:
Efficient Steering Mechanism for Mobile Network-enabled UAVs. - Rami Akrem Addad, Diego Leonel Cadette Dutra, Miloud Bagaa, Tarik Taleb, Hannu Flinck:
Towards studying Service Function Chain Migration Patterns in 5G Networks and beyond. - Federico Malato, Joona Jehkonen, Ville Hautamäki:
Improving Behavioural Cloning with Human-Driven Dynamic Dataset Augmentation. - Jun Yuan, Brian Barr, Kyle Overton, Enrico Bertini:
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets. - Jochen L. Leidner:
Data-to-Value: An Evaluation-First Methodology for Natural Language Projects. - Chen Ling, Krishna P. Gummadi, Savvas Zannettou:
"Learn the Facts About COVID-19": Analyzing the Use of Warning Labels on TikTok Videos. - Neelesh Kr. Sharma, Mayank Tiwari, Atul Thakur, Anindya K. Ganguli:
Ergonomics Integrated Design Methodology using Parameter Optimization, Computer-Aided Design, and Digital Human Modelling: A Case Study of a Cleaning Equipment. - Arup Mondal, Yash More, Prashanthi Ramachandran, Priyam Panda, Harpreet Virk, Debayan Gupta:
Scotch: An Efficient Secure Computation Framework for Secure Aggregation. - Panagiotis Meletis:
Towards holistic scene understanding: Semantic segmentation and beyond. - Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
The Query Complexity of Certification. - Ahmad Yousef Alhilal, Tristan Braud, Bo Han, Pan Hui:
Nebula: Reliable Low-latency Video Transmission for Mobile Cloud Gaming. - Tiantian Gong, Ryan Henry, Alex Psomas, Aniket Kate:
Relax the Non-Collusion Assumption for Multi-Server PIR. - James E. Smith:
Temporal Computer Organization. - Stefan Banholzer, Luca Mechelli, Stefan Volkwein:
A trust region reduced basis Pascoletti-Serafini algorithm for multi-objective PDE-constrained parameter optimization. - Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. - Philipp Zabka, Klaus-Tycho Foerster, Stefan Schmid, Christian Decker:
A Centrality Analysis of the Lightning Network. - Hossein Khaleghy, Iman Izadi:
Detection of Correlated Alarms Using Graph Embedding. - Tom Bewley, Jonathan Lawry, Arthur Richards:
Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction. - Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz:
Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results. - Mahsa Pourbafrani, Wil M. P. van der Aalst:
Interactive Process Improvement using Simulation of Enriched Process Trees. - Sajid Ghuffar, Tobias Bolch, Ewelina Rupnik, Atanu Bhattacharya:
A pipeline for automated processing of Corona KH-4 (1962-1972) stereo imagery. - Mohammad Ghaderibaneh, Caitao Zhan, Himanshu Gupta:
DeepAlloc: CNN-Based Approach to Efficient Spectrum Allocation in Shared Spectrum Systems. - Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner:
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. - Sabah Suhail, Saif Ur Rehman Malik, Raja Jurdak, Raimundas Matulevicius:
Towards Situational Aware Cyber-Physical Systems: A Security-Enhancing Use Case of Blockchain-based Digital Twins. - Apostolos F. Psaros, Xuhui Meng, Zongren Zou, Ling Guo, George Em Karniadakis:
Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons. - Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal, Mohit Jain, Xiaolong Wang:
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation. - Liam Schoneveld, Alice Othmani:
Towards a General Deep Feature Extractor for Facial Expression Recognition. - Siyao Zhou, Sadaf Salehkalaibar, Jingjing Qian, Jun Chen, Wuxian Shi, Yiqun Ge, Wen Tong:
On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources. - Xian Liu, Yinghao Xu, Qianyi Wu, Hang Zhou, Wayne Wu, Bolei Zhou:
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation. - Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar:
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. - Tahina Ralitera, Agnes Lanusse, Önder Gürcan:
On Using Blockchains for Beyond Visual Line of Sight (BVLOS) Drones Operation: An Architectural Study. - Lingzhi Zhao, Ying Cui, Sheng Yang, Shlomo Shamai, Yunbo Han, Yunfei Zhang:
Rate Splitting for General Multicast. - Yingni Wang, Kehong Yuan:
Cognitive Explainers of Graph Neural Networks Based on Medical Concepts. - Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens:
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. - Farhad Pakdaman, Mohammad Ali Adelimanesh, Mahmoud Reza Hashemi:
BLINC: Lightweight Bimodal Learning for Low-Complexity VVC Intra Coding. - Zhengwei Bai, Peng Hao, Wei ShangGuan, Baigen Cai, Matthew J. Barth:
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections. - Ömür Arslan, Aron Tiemessen:
Adaptive Bézier Degree Reduction and Splitting for Computationally Efficient Motion Planning. - J. A. Montañez-Barrera, Juan Manuel Barroso-Maldonado, A. F. Bedoya-Santacruz, Adrian Mota-Babiloni:
Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels. - Debangshu Banerjee, Kavita Wagh:
Critic Algorithms using Cooperative Networks. - Jacob King, Alexandra Kwon, Hengjie Yang, William E. Ryan, Richard D. Wesel:
CRC-Aided List Decoding of Convolutional and Polar Codes for Short Messages in 5G. - Victor Yodaiken:
How ISO C became unusable for operating systems development. - Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang:
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. - Melanie Bernhardt, Charles Jones, Ben Glocker:
Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias. - Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen:
Decoupling the Depth and Scope of Graph Neural Networks. - Andrew R. Willis, Kevin M. Brink, Kathleen M. Dipple:
ROS georegistration: Aerial Multi-spectral Image Simulator for the Robot Operating System. - Abdul Jalal, Ravi Kant, Arjun Kumar, V. Kumar:
Pipe Climbing Robot. - Natalia Queiroz de Oliveira, Vânia Jesus de Araújo Soares Borges, Henrique Fernandes Rodrigues, Maria Luiza Machado Campos, Giseli Rabello Lopes:
A Practical Approach of Actions for FAIRification Workflows. - Kusha Sridhar, Carlos Busso:
Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech. - Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
PDE-Based Optimal Strategy for Unconstrained Online Learning. - Yichen Lu, Kai Cheng, Yue Zhang, Xinqiang Chen, Yajie Zou:
Analysis of lane-change conflict between cars and trucks at merging section using UAV video data. - Krishnaraj Rao N. S, Avinash N. J, Rama Moorthy H, Karthik K, Sudesh Rao, Santosh S:
An Automated Robotic Arm: A Machine Learning Approach. - Oxana Shamilyan, Ievgen Kabin, Zoya Dyka, Michael Kuba, Peter Langendoerfer:
Octopuses: biological facts and technical solutions. - Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult:
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. - Carol Neidle, Augustine Opoku, Dimitris N. Metaxas:
ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP). - Ehsan Qasemi, Lee Kezar, Jay Pujara, Pedro A. Szekely:
Evaluating Machine Common Sense via Cloze Testing. - Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li:
CPTAM: Constituency Parse Tree Aggregation Method. - Lee Kezar, Pei Zhou:
The Role of Facial Expressions and Emotion in ASL. - Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan:
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. - Muhammad Fahad, Daniel R. Fuhrmann:
Sensing Method for Two-Target Detection in Time-Constrained Vector Poisson Channel. - Drew Penney, Bin Li, Jaroslaw Sydir, Charlie Tai, Eoin Walsh, Thomas Long, Stefan Lee, Lizhong Chen:
PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications. - Eric Sadit Tellez, Guillermo Ruiz:
Similarity search on neighbor's graphs with automatic Pareto optimal performance and minimum expected quality setups based on hyperparameter optimization. - Bennet Yee, Dawn Song, Patrick McCorry, Chris Buckland:
Shades of Finality and Layer 2 Scaling. - Abbas Raza Ali, Pitipong J. Lin:
Demand-Driven Asset Reutilization Analytics. - Keyi Wu, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas:
Derivative-informed projected neural network for large-scale Bayesian optimal experimental design. - Jiawei Qin, Takuru Shimoyama, Yusuke Sugano:
Learning-by-Novel-View-Synthesis for Full-Face Appearance-based 3D Gaze Estimation. - Andrew S. Morgan, Kaiyu Hang, Bowen Wen, Kostas E. Bekris, Aaron M. Dollar:
Complex In-Hand Manipulation via Compliance-Enabled Finger Gaiting and Multi-Modal Planning. - Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Diogo C. Luvizon, Christian Theobalt:
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision. - Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Joaquim Casal, Miguel González-Mendoza, Luis Eduardo Falcón-Morales:
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods. - Mohamed S. Kraiem, Fernando Sánchez Hernández, María N. Moreno García:
Selecting the suitable resampling strategy for imbalanced data classification regarding dataset properties. - Yongquan Yang:
One-Step Abductive Multi-Target Learning with Diverse Noisy Label Samples. - Shawn W. M. Li:
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks. - Mahmood Alzubaidi, Marco Agus, Khalid Alyafei, Khaled A. Al-Thelaya, Uzair Shah, Alaa A. Abd-Alrazaq, Mohammed Anbar, Zafar Iqbal, Mowafa S. Househ:
Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images. - Hamoud Alhazmi, Ahmed Imran, Mohammad Abu Alsheikh:
How Do Socio-Demographic Patterns Define Digital Privacy Divide? - Haojie Huang, Ziyi Yang, Robert Platt:
GASCN: Graph Attention Shape Completion Network. - Yeming Gu, Hui Shu, Rongkuan Ma, Lin Yan, Lei Zhu:
spotFuzzer: Static Instrument and Fuzzing Windows COTs. - Steven Roberts, Adrian Sandu:
Eliminating Order Reduction on Linear, Time-Dependent ODEs with GARK Methods. - Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee:
Cost-Effective Algorithms for Average-Case Interactive Graph Search. - Ertem Nusret Tas, David Tse, Fisher Yu, Sreeram Kannan:
Babylon: Reusing Bitcoin Mining to Enhance Proof-of-Stake Security. - Viet Hoang Pham, Hyo-Sung Ahn:
Distributed Stochastic Model Predictive Control for an Urban Traffic Network. - Chun-Yi Wei, Yung Kai Wang:
A Low-Complexity Location-Based Hybrid Multiple Access and Relay Selection in V2X Multicast Communications. - Yayong Li, Jie Yin, Ling Chen:
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels. - Chenxu Jiang, Chenglong Fu, Zhenyu Zhao, Xiaojiang Du, Yuede Ji:
Effective Anomaly Detection in Smart Home by Integrating Event Time Intervals. - Xiaoxuan Yu, Yan Xu, Qiang Du:
Numerical simulation of singularity propagation modeled by linear convection equations with spatially heterogeneous nonlocal interactions. - Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki:
Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning. - Zarrin Tasnim Sworna, Chadni Islam, Muhammad Ali Babar:
APIRO: A Framework for Automated Security Tools API Recommendation. - Abdullah Al Hussain, Md. Akhtaruzzaman Emon, Toufiq Ahmed Tanna, Rasel Iqbal Emon, Md Mehedi Hassan Onik:
A Systematic Literature Review of Blockchain Technology Adoption in Bangladesh. - Qiang Liu, Yuru Zhang, Haoxin Wang:
EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing. - Crewe Bailey:
Adaptability of Improved NEAT in Variable Environments. - João P. Moutinho, Bruno C. Coutinho, Lorenzo Buffoni:
Network-based link prediction of scientific concepts - a Science4Cast competition entry. - Michael Cho, Afra Mashhadi:
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities. - Rong Liang, Yujie Lu, Zhen Huang, Tiehua Zhang, Yuze Liu:
AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree. - Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. - Enyu Yu, Duanbing Chen, Yan Fu, Yuanyuan Xu:
Identifying critical nodes in complex networks by graph representation learning. - Cheng-En Wu, Farley Lai, Yu Hen Hu, Asim Kadav:
Self-supervised Video Representation Learning with Cascade Positive Retrieval. - Sruthi Ramadurai, Heejin Jeong:
Effect of Human Involvement on Work Performance and Fluency in Human-Robot Collaboration for Recycling. - Takamitsu Shioi, Takashi Kambayashi, Suguru Arakawa, Ryoji Kurosawa, Satoshi Hikida, Haruo Yokota:
Serializable HTAP with Abort-/Wait-free Snapshot Read. - Md. Nadim, Manishankar Mondal, Chanchal K. Roy, Kevin A. Schneider:
Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates. - Bhanu Prakash Reddy Guda, Mashrin Srivastava, Deep Karkhanis:
Sentiment Analysis: Predicting Yelp Scores. - Suhas Kotha, Anirudh Koul, Siddha Ganju, Meher Kasam:
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning. - Weihuang Xu, Guohao Yu, Yiming Cui, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish Rajurkar, Diane Rowland, Roser Matamala, Julie D. Jastrow, Thomas E. Juenger, Felix B. Fritschi:
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study. - Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
FreSCo: Mining Frequent Patterns in Simplicial Complexes. - Katherine Hoffmann Pham, Miguel A. Luengo-Oroz:
Predictive modeling of movements of refugees and internally displaced people: Towards a computational framework. - Abolfazl Zolfaghari:
Comparative Study on Reliability Estimation Using Monte Carlo Simulation with Application to Cylindrical Pressure Vessel. - Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang:
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning. - Fatemeh Mohammadi Shakiba, Milad Shojaee, S. Mohsen Azizi, Mengchu Zhou:
Transfer Learning for Fault Diagnosis of Transmission Lines. - Shivangi Agarwal, Sanjit K. Kaul, Saket Anand, P. B. Sujit:
Learning Estimates At The Edge Using Intermittent And Aged Measurement Updates. - Su Zheng, Zhen Li, Yao Lu, Jingbo Gao, Jide Zhang, Lingli Wang:
HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks. - Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. - Devansh Bisla, Jing Wang, Anna Choromanska:
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape. - Yuxiang Liang, Shun Zhang:
Several Coercivity Proofs of First-Order System Least-Squares Methods for Second-Order Elliptic PDEs. - Zengfu Hou, Wei Li:
A Joint Morphological Profiles and Patch Tensor Change Detection for Hyperspectral Imagery. - Jingye Wang, Ruoyi Du, Dongliang Chang, Zhanyu Ma:
Domain Generalization via Frequency-based Feature Disentanglement and Interaction. - Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini:
Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey. - Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi:
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. - Olga G. Vikhrova, Sara Pizzi, Alessio Terzani, Lian Araujo, Antonino Orsino, Giuseppe Araniti:
Multi-SIM support in 5G Evolution: Challenges and Opportunities. - Ervin Dervishaj, Paolo Cremonesi:
GAN-based Matrix Factorization for Recommender Systems. - Nicholas Adrian, Van-Thach Do, Quang-Cuong Pham:
DFBVS: Deep Feature-Based Visual Servo. - Gongyang Li, Zhi Liu, Zhen Bai, Weisi Lin, Haibin Ling:
Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation. - Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv:
TerViT: An Efficient Ternary Vision Transformer. - Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata:
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. - Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu, Xueshuang Xiang:
Adversarial Jamming for a More Effective Constellation Attack. - Yihang Li, Shuichiro Shimizu, Weiqi Gu, Chenhui Chu, Sadao Kurohashi:
VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation. - Lucas Gren, Paul Ralph:
What Makes Effective Leadership in Agile Software Development Teams? - Peng Zhu, Shenglan Xie, Xiaoshen Wang:
A stabilizer-free C0 weak Galerkin method for the biharmonic equations. - Zarrin Tasnim Sworna, Zahra Mousavi, Muhammad Ali Babar:
NLP Methods in Host-based Intrusion Detection Systems: A Systematic Review and Future Directions. - Evgeny Bobrov, Boris Chinyaev, Viktor Kuznetsov, Dmitrii Minenkov, Daniil Yudakov:
Power Allocation Algorithms for Massive MIMO Systems with Multi-Antenna Users. - Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi:
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine Translation. - Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions. - Martin Waltz, Ostap Okhrin:
Two-Sample Testing in Reinforcement Learning. - Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. - Xuan Xie, Fuyuan Zhang:
DeepGalaxy: Testing Neural Network Verifiers via Two-Dimensional Input Space Exploration. - Manjot Bedi, Tanisha Pandey, Sumit Bhatia, Tanmoy Chakraborty:
Why Did You Not Compare With That? Identifying Papers for Use as Baselines. - Nitin Saini, Elia Bonetto, Eric Price, Aamir Ahmad, Michael J. Black:
AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation. - Iuliia Ganskaia, Stanislav Abaimov:
Before and After: Machine learning for perioperative patient care. - Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti:
What can we learn from misclassified ImageNet images? - Thomas Hütter, Nikolaus Augsten, Christoph M. Kirsch, Michael J. Carey, Chen Li:
JEDI: These aren't the JSON documents you're looking for... (Extended Version*). - Matthew Rahtz, Vikrant Varma, Ramana Kumar, Zachary Kenton, Shane Legg, Jan Leike:
Safe Deep RL in 3D Environments using Human Feedback. - Morgane Goibert, Stéphan Clémençon, Ekhine Irurozki, Pavlo Mozharovskyi:
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications. - Junchen Zhao:
Safety-Aware Multi-Agent Apprenticeship Learning. - Lilith Mattei, Alessandro Facchini, Alessandro Antonucci:
Belief Revision in Sentential Decision Diagrams. - Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner:
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. - Zehong Cao, Jie Yun:
Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving. - Takahiro Miki, Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter:
Learning robust perceptive locomotion for quadrupedal robots in the wild. - Shin-ichi Minato, Mutsunori Banbara, Takashi Horiyama, Jun Kawahara, Ichigaku Takigawa, Yutaro Yamaguchi:
Interval-Memoized Backtracking on ZDDs for Fast Enumeration of All Lower Cost Solutions. - Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Survey on Privacy-Preserving Techniques for Data Publishing. - Slimane Larabi:
A Computational Model for Machine Thinking. - Jingzhou Yang, Lei He:
Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training. - Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing. - Zi-Long Liu, Chi-Man Pun:
Reversible Data Hiding in Encrypted Images by Lossless Pixel Conversion. - Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless C. Fowlkes:
GeoFill: Reference-Based Image Inpainting of Scenes with Complex Geometry. - Teng Li, Siwei Yin, Runze Yu, Yebo Feng, Lei Jiao, Yulong Shen, Jianfeng Ma:
CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases. - Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara:
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges. - Trang C. Mai, Hien Quoc Ngo, Le-Nam Tran:
Energy Efficiency Maximization in Large-Scale Cell-Free Massive MIMO: A Projected Gradient Approach. - Garima Gupta, Lovekesh Vig, Gautam Shroff:
DRTCI: Learning Disentangled Representations for Temporal Causal Inference. - Pablo R. Palafox, Nikolaos Sarafianos, Tony Tung, Angela Dai:
SPAMs: Structured Implicit Parametric Models. - Daniela Mihai, Jonathon S. Hare:
Physically Embodied Deep Image Optimisation. - Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. - Simon R. Davies, Richard Macfarlane, William J. Buchanan:
NapierOne: A modern mixed file data set alternative to Govdocs1. - Fabian Altekrüger, Johannes Hertrich:
WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution. - Tiansong Zhou, Tao Yu, Ruizhi Shao, Kun Li:
HDhuman: High-quality Human Performance Capture with Sparse Views. - Anna Clarke, Per Olof Gutman:
An Automatic Control System with Human-in-the-Loop for Training Skydiving Maneuvers: Proof-of-Concept Experiment. - Amir-Reza Asadi:
Cognitive Ledger Project: Towards Building Personal Digital Twins Through Cognitive Blockchain. - Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. - Nazareno Bruschi, Germain Haugou, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi:
GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors. - Nagib Sabbag Filho, Rogério Rossi:
Chatbot Based Solution for Supporting Software Incident Management Process. - Tong Zhang, Dongsheng Chen, Na Li, Shiyao Zhang, Rui Wang:
Secure Rate-Splitting for the MIMO Broadcast Channel with Imperfect CSIT and a Jammer. - Aleksandr Perevalov, Xi Yan, Liubov Kovriguina, Longquan Jiang, Andreas Both, Ricardo Usbeck:
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis. - Hao Chen, Takuya Kiyokawa, Weiwei Wan, Kensuke Harada:
Category-Association Based Similarity Matching for Novel Object Pick-and-Place Task. - Raina Raj, Vidyottama Jain:
Optimization of Traffic Control in MMAP[k]/PH[k]/S Catastrophic Queueing Model with PH Retrial Times and Preemptive Repeat Policy. - Jianxi Luo:
Data-Driven Innovation: What Is It. - Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab:
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations. - Jialin Hong, Baohui Hou, Qiang Li, Liying Sun:
Three kinds of novel multi-symplectic methods for stochastic Hamiltonian partial differential equations. - Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He:
Learning-based Hybrid Local Search for the Hard-label Textual Attack. - Junyan Yang, Yang Jiang, Shuoyao Wang:
Enhancement or Super-Resolution: Learning-based Adaptive Video Streaming with Client-Side Video Processing. - Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio, Juri Di Rocco, Phuong T. Nguyen:
Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs. - Charalampos Orfanidis, Paul Pop, Xenofon Fafoutis:
Active Connectivity Fundamentals for TSCH Networks of Mobile Robots. - Prerna Mishra, Urmila Shrawankar:
Comparative Study of Cloud and Non-Cloud Gaming Platform: Apercu. - Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. - Mingye Xu, Zhipeng Zhou, Hongbin Xu, Yali Wang, Yu Qiao:
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning. - Yutong Wu, Han Qiu, Tianwei Zhang, Jiwei Li, Meikang Qiu:
Watermarking Pre-trained Encoders in Contrastive Learning. - Mikhail Moshkov:
Exact learning for infinite families of concepts. - Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. - Michael Laufer, Erick Fredj:
High Performance Parallel I/O and In-Situ Analysis in the WRF Model with ADIOS2. - Charles Averill:
A Brief Analysis of the Apollo Guidance Computer. - David Banh:
Sample Summary with Generative Encoding. - Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li:
Temporal Knowledge Graph Completion: A Survey. - Ferhat Yarkin, Justin P. Coon:
Simple Gray Coding and LLR Calculation for MDS Modulation Systems. - Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le:
LaMDA: Language Models for Dialog Applications. - Daniele Bartoli, Giovanni Zini, Ferdinando Zullo:
Non-minimum tensor rank Gabidulin codes. - Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen:
"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint. - Hilla Shinitzky, Yuval Shahar, Dan Avraham, Yizhak Vaisman, Yakir Tsizer, Yaniv Leedon:
Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation. - Zachary Hamida, Blanche Laurent, James-A. Goulet:
OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges. - Paolo Santini, Giulia Rafaiani, Massimo Battaglioni, Franco Chiaraluce, Marco Baldi:
Optimization of a Reed-Solomon code-based protocol against blockchain data availability attacks. - Sonali Parbhoo, Shalmali Joshi, Finale Doshi-Velez:
Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making. - Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid:
End-to-end Generative Pretraining for Multimodal Video Captioning. - Kaveh Hassani:
Cross-Domain Few-Shot Graph Classification. - (Withdrawn) Real-time Rendering for Integral Imaging Light Field Displays Based on a Voxel-Pixel Lookup Table.
- Michael Robinson, Letitia W. Li, Cory Anderson, Steve Huntsman:
Statistical detection of format dialects using the weighted Dowker complex. - Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja, Paolo Bellavista:
Towards Energy Efficient Distributed Federated Learning for 6G Networks. - Simon J. Gay, Diogo Poças, Vasco T. Vasconcelos:
The Different Shades of Infinite Session Types. - Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, Ibrahim Said Ahmad, Idris Abdulmumin, Bello Shehu Bello, Monojit Choudhury, Chris Chinenye Emezue, Saheed Abdullahi Salahudeen, Aremu Anuoluwapo, Alípio Jeorge, Pavel Brazdil:
NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis. - Alexander New, Megan M. Baker, Eric Q. Nguyen, Gautam K. Vallabha:
Lifelong Learning Metrics. - Méghane Decroocq, Carole Frindel, Makoto Ohta, Guillaume Lavoué:
Modeling and hexahedral meshing of arterial networks from centerlines. - Saul Santos, Monica Ekal, Rodrigo M. M. Ventura:
Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a prior in Deep Learning. - Aritra Chakravorty, William S. Cleveland, Patrick J. Wolfe:
Scalable k-d trees for distributed data. - Lars Vögtlin, Paul Maergner, Rolf Ingold:
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis. - Ian T. Foster, Carl Kesselman:
CUF-Links: Continuous and Ubiquitous FAIRness Linkages for reproducible research. - Minghuan Liu, Menghui Zhu, Weinan Zhang:
Goal-Conditioned Reinforcement Learning: Problems and Solutions. - Chenyu Sun, Hangwei Qian, Chunyan Miao:
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks. - Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Minimax Demographic Group Fairness in Federated Learning. - Amirmohammad Farzaneh, Justin P. Coon:
An Information Theory Approach to Network Evolution Models. - Moiz Rauf, Sebastian Padó, Michael Pradel:
Meta Learning for Code Summarization. - Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie:
Adaptive neighborhood Metric learning. - Anna Filighera, Sebastian Ochs, Tim Steuer, Thomas Tregel:
Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs. - Matej Hoffmann, Matthew R. Longo:
Body Models in Humans and Robots. - Taekyung Kim, Hojin Lee, Seongil Hong, Wonsuk Lee:
TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics. - Sisi Miao, Lukas Rapp, Laurent Schmalen:
Error-and-erasure Decoding of Product and Staircase Codes with Simplified Extrinsic Message Passing. - Md. Rafiul Biswas, Hazrat Ali, Raian Ali, Zubair Shah:
Influences of social media usage on public attitudes and behavior towards COVID-19 vaccine in the Arab world. - Xue Li, Alan Bundy, Eugene Philalithis:
Signature Entrenchment and Conceptual Changes in Automated Theory Repair. - Wolfgang Fuhl:
HPCGen: Hierarchical K-Means Clustering and Level Based Principal Components for Scan Path Genaration. - Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac:
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees. - Peter M. A. van Ooijen, Erfan Darzidehkalani, Andre Dekker:
AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline. - Keun Sup Shim, Brian Greskamp, Brian Towles, Bruce Edwards, J. P. Grossman, David E. Shaw:
The Specialized High-Performance Network on Anton 3. - Rotem Tzaban, Ron Mokady, Rinon Gal, Amit H. Bermano, Daniel Cohen-Or:
Stitch it in Time: GAN-Based Facial Editing of Real Videos. - Melih Bastopcu, S. Rasoul Etesami, Tamer Basar:
The Role of Gossiping for Information Dissemination over Networked Agents. - Lloyd Montgomery, Clara Marie Lüders, Walid Maalej:
An Alternative Issue Tracking Dataset of Public Jira Repositories. - Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten:
Revisiting Weakly Supervised Pre-Training of Visual Perception Models. - Arnav Kapoor, Dipanwita Guhathakurta, Mehul Mathur, Rupanshu Yadav, Manish Gupta, Ponnurangam Kumaraguru:
TweetBoost: Influence of Social Media on NFT Valuation. - Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra:
Omnivore: A Single Model for Many Visual Modalities. - Ruslan Nikolaev, Hassan Nadeem, Cathlyn Stone, Binoy Ravindran:
Adelie: Continuous Address Space Layout Re-randomization for Linux Drivers. - Zhangxing Bian, Allan Jabri, Alexei A. Efros, Andrew Owens:
Learning Pixel Trajectories with Multiscale Contrastive Random Walks. - Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. - Felipe González-Pizarro, Savvas Zannettou:
Understanding and Detecting Hateful Content using Contrastive Learning. - Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi:
Unicorn: Reasoning about Configurable System Performance through the lens of Causality. - Miao-Jung Yvonne Ou, Petr Plechác, Jiangming Xie:
On the time-domain full waveform inversion for time-dissipative and dispersive poroelastic media. - Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi:
Scalable Sampling for Nonsymmetric Determinantal Point Processes. - Felix Kastner, Andreas Rößler:
An Analysis of Approximation Algorithms for Iterated Stochastic Integrals and a Julia and MATLAB Simulation Toolbox. - Xiangnan Yin, Liming Chen:
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction. - Erasmo Artur, Rosane Minghim:
A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health Records. - Russell Impagliazzo, Rex Lei, Toniann Pitassi, Jessica Sorrell:
Reproducibility in Learning. - Fernando Contreras, Juan Galvis:
Finite difference and finite element methods for partial differential equations on fractals. - Gabriele Tiboni, Karol Arndt, Ville Kyrki:
DROPO: Sim-to-Real Transfer with Offline Domain Randomization. - Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs:
A Guide to Particle Advection Performance. - Laura Wartschinski, Yannic Noller, Thomas Vogel, Timo Kehrer, Lars Grunske:
VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python. - Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel, Tijmen Blankevoort, Chirag Patel, Abhijit Khobare:
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET). - Yuan Tian, Minghao Han, Chetan S. Kulkarni, Olga Fink:
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning. - Lucie Pansart, Hadrien Cambazard, Nicolas Catusse:
Dealing with elementary paths in the Kidney Exchange Problem. - Ephrem A. Retta, Richard F. E. Sutcliffe, Eiad Almekhlafi, Yosef K. Enku, Eyob Alemu, Tigist D. Gemechu, Michael Abebe Berwo, Mustafa Mhamed, Jun Feng:
Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark. - Yuan Yang, Deepayan Sanyal, Joel Michelson, James Ainooson, Maithilee Kunda:
Automatic Item Generation of Figural Analogy Problems: A Review and Outlook. - Austin Van Loon, Salvatore Giorgi, Robb Willer, Johannes C. Eichstaedt:
Regional Negative Bias in Word Embeddings Predicts Racial Animus-but only via Name Frequency. - Ellen Arteca, Alexi Turcotte:
npm-filter: Automating the mining of dynamic information from npm packages. - Concetta Laurita:
An error estimate for the Gauss-Jacobi-Lobatto quadrature rule. - Nan Wu, Jiwon Lee, Yuan Xie, Cong Hao:
Hybrid Graph Models for Logic Optimization via Spatio-Temporal Information. - Habib Larian, Ali Larian, Mahdi Sharifi, Homa Movahednejad:
Towards Web of Things Middleware: A Systematic Review. - Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler:
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. - Ana Aleksandric, Mercy Jesuloluwa Obasanya, Sarah Melcher, Shirin Nilizadeh, Gabriela Mustata Wilson:
Your Tweets Matter: How Social Media Sentiments Associate with COVID-19 Vaccination Rates in the US. - Ioannis Agadakos, Manuel Egele, William K. Robertson:
Polytope: Practical Memory Access Control for C++ Applications. - Paul Gavrikov, Janis Keuper:
An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters. - Muhammad Suleman Saleem, Jelena V. Misic, Vojislav B. Misic:
Android Malware Detection using Feature Ranking of Permissions. - Upinder Kaur, Haozhe Zhou, Xiaxin Shen, Byung-Cheol Min, Richard M. Voyles:
RoboMal: Malware Detection for Robot Network Systems. - Suraj Nair, Eugene Yang, Dawn J. Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard:
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models. - Huiyun Xia, Yijie Mao, Bruno Clerckx, Xiaokang Zhou, Shuai Han, Cheng Li:
Weighted Sum-Rate Maximization for Rate-Splitting Multiple Access Based Secure Communication. - Jeffrey A. Nichols, Kevin D. Spakes, Cory L. Watson, Robert A. Bridges:
Assembling a Cyber Range to Evaluate Artificial Intelligence / Machine Learning (AI/ML) Security Tools. - Zhen Xiang, David J. Miller, George Kesidis:
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios. - Stefan Abi-Karam, Yuqi He, Rishov Sarkar, Lakshmi Sathidevi, Zihang Qiao, Cong Hao:
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration. - Andrew Stolman, Caleb C. Levy, C. Seshadhri, Aneesh Sharma:
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling. - Sachin Konan, Esmaeil Seraj, Matthew C. Gombolay:
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming. - Isha Garg, Manish Nagaraj, Kaushik Roy:
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data. - Athar Sefid, C. Lee Giles:
SciBERTSUM: Extractive Summarization for Scientific Documents. - Irina Mustata, Martin Pergel:
What Makes the Recognition Problem Hard for Classes Related to Segment and String graphs? - Reiner Czerwinski:
Incomplete sets in P for logspace-reduction. - Ying Sun, Marie Maros, Gesualdo Scutari, Guang Cheng:
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. - Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. - Shangrong Yu, Yuxin Chen, Hejun Wu:
LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion. - Wei Wu, Fuhui Zhou, Baoyun Wang, Qihui Wu, Chao Dong, Rose Qingyang Hu:
Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potentials, Promising Technologies, and Challenges. - Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai:
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. - Neophytos Charalambides, Hessam Mahdavifar, Mert Pilanci, Alfred O. Hero III:
Orthonormal Sketches for Secure Coded Regression}. - Zhejing Hu, Yan Liu, Gong Chen, Yongxu Liu:
Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer. - Yotam Elor, Hadar Averbuch-Elor:
To SMOTE, or not to SMOTE? - Shizhe Diao, Xuechun Li, Yong Lin, Zhichao Huang, Tong Zhang:
Black-box Prompt Learning for Pre-trained Language Models. - Jason J. Choi, Ayush Agrawal, Koushil Sreenath, Claire J. Tomlin, Somil Bansal:
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots. - Xiaofan Zhang, Zongwei Zhou, Deming Chen, Yu Emma Wang:
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models. - Guangxuan Xu, Qingyuan Hu:
Can Model Compression Improve NLP Fairness. - Ankan Shaw, Sanjit Bhowmick, Satya Bagchi:
Classification and count of binary linear complementary dual group codes. - Öykü Deniz Köse, Yanning Shen:
Fair Node Representation Learning via Adaptive Data Augmentation. - Xiaoqi Li, Haoyuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek:
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review. - Amir Afaq, Zeeshan Ahmed, Noman Haider, Muhammad Imran:
Blockchain-based Collaborated Federated Learning for Improved Security, Privacy and Reliability. - Jan Cao:
The Collector, the Glitcher, and the Denkbilder: Towards a Critical Aesthetic Theory of Video Games. - Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger:
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. - Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd:
Identifying Adversarial Attacks on Text Classifiers. - Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng:
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization. - Hao Chen, Junzhi Zhang, Chen Lv:
RHONN Modelling-enabled Nonlinear Predictive Control for Lateral Dynamics Stabilization of An In-wheel Motor Driven Vehicle. - Naveen Nair, Karthik S. Gurumoorthy, Dinesh Mandalapu:
Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages. - Jou-An Chen, Hsin-Hsuan Sung, Nathan R. Tallent, Kevin J. Barker, Xipeng Shen, Ang Li:
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. - Bhargav Kumar Kakumani, Suman Kumar Tumuluri:
A convergent numerical scheme to a parabolic equation with a nonlocal boundary condition. - Rushit Dave, Naeem Seliya, Laura Pryor, Mounika Vanamala, Evelyn R. Sowells Boone, Jacob Mallet:
Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. - Rushit Dave, Naeem Seliya, Mounika Vanamala, Wei Tee:
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. - Weidong Wang, Yujian Kang, Dian Li:
An empirical study on Java method name suggestion: are we there yet? - Boqian Shen, Beatrice Riviere:
A Sequential Discontinuous Galerkin Method for Two-Phase Flow in Deformable Porous Media. - K. V. Jobin, Ajoy Mondal, C. V. Jawahar:
Classroom Slide Narration System. - Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren:
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data. - Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva, Yuriy Nazarov, Alexander Panchenko, Natalia V. Loukachevitch:
Taxonomy Enrichment with Text and Graph Vector Representations. - Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks:
Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain Specific Hardware Acceleration. - Sheikh Salman Hassan, DoHyeon Kim, Yan Kyaw Tun, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong:
Seamless and Energy Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks. - Aarón López-García, Rafael Benítez:
Reputation analysis of news sources in Twitter: Particular case of Spanish presidential election in 2019. - Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani:
Deep Q-learning: a robust control approach. - Anisha Banerjee, Antonia Wachter-Zeh, Eitan Yaakobi:
Insertion and Deletion Correction in Polymer-based Data Storage. - Can Wang, Sheng Jin, Yingda Guan, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang:
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization. - Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. - Haolin Liu, Xinyuan Lian, Dengji Zhao:
Diffusion Multi-unit Auctions with Diminishing Marginal Utility Buyers. - Hua Ma, Yinshan Li, Yansong Gao, Alsharif Abuadbba, Zhi Zhang, Anmin Fu, Hyoungshick Kim, Said F. Al-Sarawi, Surya Nepal, Derek Abbott:
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World. - Frank Schöpfer, Dirk A. Lorenz, Lionel Tondji, Maximilian Winkler:
Extended Randomized Kaczmarz Method for Sparse Least Squares and Impulsive Noise Problems. - Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Reproducing Personalised Session Search over the AOL Query Log. - Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Thomas Olsson, Séverine Sentilles, Efi Papatheocharous:
A Systematic Literature Review of Empirical Research on Quality Requirements. - Christian Homeyer, Oliver Lange, Christoph Schnörr:
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments. - Guangwu Qian, Zhen-Qun Yang, Xu-Lu Zhang, Yaowei Wang, Qing Li, Xiao-Yong Wei:
Conceptor Learning for Class Activation Mapping. - Kateryna Marynets, Dona Pantova:
Approximation approach to the fractional BVP with the Dirichlet type boundary conditions. - P. P. M. Jansweijer, N. A. D. Boukadida, Kalle Hanhijärvi, Anders E. Wallin, B. Eglin, E. Laier English:
First electrical White Rabbit absolute calibration inter-comparison. - Lubomír Bañas, Christian Vieth:
Robust a posteriori estimates for the stochastic Cahn-Hilliard equation. - Ewoenam Kwaku Tokpo, Toon Calders:
Text Style Transfer for Bias Mitigation using Masked Language Modeling. - Kazuhiro Kurita, Kunihiro Wasa:
An Approximation Algorithm for K-best Enumeration of Minimal Connected Edge Dominating Sets with Cardinality Constraints. - Sasinee Pruekprasert, Jérémy Dubut, Toru Takisaka, Clovis Eberhart, Ahmet Cetinkaya:
Moment Propagation Through Carleman Linearization with Application to Probabilistic Safety Analysis. - Dave Murray-Rust, Luis Soares, Katya Gorkovenko, John Rooksby:
Exploring the acceptability of digital contact tracing for UK students. - Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Alfio Di Mauro, Luca Benini, Davide Rossi:
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode. - Huifeng Yao, Xiaowei Hu, Xiaomeng Li:
Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation. - Ylva Ljungberg Rydin, Martin Almquist:
Approximating moving point sources in hyperbolic partial differential equations. - Mads Lindskou, Torben Tvedebrink, Poul Svante Eriksen, Søren Højsgaard, Niels Morling:
Unity Smoothing for Handling Inconsistent Evidence in Bayesian Networks and Unity Propagation for Faster Inference. - Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri:
On the adaptation of recurrent neural networks for system identification. - Moshe Levy, Guy Amit, Yuval Elovici, Yisroel Mirsky:
The Security of Deep Learning Defences for Medical Imaging. - Yue Song, Nicu Sebe, Wei Wang:
Fast Differentiable Matrix Square Root. - Jun-Hao Chen, Yun-Cheng Tsai:
Dynamic Deep Convolutional Candlestick Learner. - Tianyi Tang, Junyi Li, Wayne Xin Zhao:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. - Alireza Koochali, Peter Schichtel, Andreas Dengel, Sheraz Ahmed:
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability. - Zhangyong Tang, Tianyang Xu, Hui Li, Xiao-Jun Wu, Xuefeng Zhu, Josef Kittler:
Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking. - Jad Doughman, Wael Khreich:
Gender Bias in Text: Labeled Datasets and Lexicons. - Hyeongji Kim, Pekka Parviainen, Ketil Malde:
Distance-Ratio-Based Formulation for Metric Learning. - Hedda R. Schmidtke, Sara Coelho:
Scales and Hedges in a Logic with Analogous Semantics. - Jusop Choi, Wonseok Choi, William Aiken, Hyoungshick Kim, Jun Ho Huh, Taesoo Kim, Yongdae Kim, Ross J. Anderson:
Attack of the Clones: Measuring the Maintainability, Originality and Security of Bitcoin 'Forks' in the Wild. - Rogério Rossi, Kechi Hirama:
Strategic Issues on Implementing a Software Process Improvement Program. - Anjana Ambika Mahesh, B. Sundar Rajan:
Minrank of Embedded Index Coding Problems and its Relation to Connectedness of a Bipartite Graph. - Kishaan Jeeveswaran, Senthilkumar Kathiresan, Arnav Varma, Omar Magdy, Bahram Zonooz, Elahe Arani:
A Comprehensive Study of Vision Transformers on Dense Prediction Tasks. - Jan Sawicki, Michal Burdukiewicz:
VisQualdex - the comprehensive guide to good data visualization. - Zach Smith, Hugo Jonker, Sjouke Mauw, Hyunwoo Lee:
Modelling Agent-Skipping Attacks in Message Forwarding Protocols. - Vinsen Marselino Andreas, Genta Indra Winata, Ayu Purwarianti:
A Comparative Study on Language Models for Task-Oriented Dialogue Systems. - Abdulrahman Alruban, Hind Alobaidi, Nathan L. Clarke, Fudong Li:
Physical Activity Recognition by Utilising Smartphone Sensor Signals. - Diab W. Abueidda, Seid Koric, Rashid K. Abu Al-Rub, Corey M. Parrott, Kai A. James, Nahil A. Sobh:
A deep learning energy method for hyperelasticity and viscoelasticity. - Martin Westerkamp, Maximilian Diez:
Verilay: A Verifiable Proof of Stake Chain Relay. - Zhou Yang, Jieke Shi, Junda He, David Lo:
Natural Attack for Pre-trained Models of Code. - Martin Westerkamp, Axel Küpper:
SmartSync: Cross-Blockchain Smart Contract Interaction and Synchronization. - Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation. - Aryeh Kontorovich, Menachem Sadigurschi, Uri Stemmer:
Adaptive Data Analysis with Correlated Observations. - Sakdipat Ontoum, Jonathan H. Chan:
Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning. - Hajar Hasannejadasl, Cheryl Roumen, Yolba Smit, Andre Dekker, Rianne Fijten:
Health literacy in e-oncology care: challenges and strategies. - Nandor Verba, Pablo R. Baldivieso Monasterios, Siyuan Dong, Andrei-Constantin Braitor, George C. Konstantopoulos, Elena I. Gaura, Euan A. Morris, Alison Halford, Colin Stephen:
Cyber-physical components of an autonomous and scalable SLES. - Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang:
Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation? - Alexander Dallmann, Johannes Kohlmann, Daniel Zoller, Andreas Hotho:
Sequential Item Recommendation in the MOBA Game Dota 2. - Haidong Xie, Jia Tan, Xiaoying Zhang, Nan Ji, Haihua Liao, Zuguo Yu, Xueshuang Xiang, Naijin Liu:
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples. - Robert Müller, Aldo Pacchiano:
Meta Learning MDPs with Linear Transition Models. - Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. - Isabel Wagner:
Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996-2021. - Leif Azzopardi, Mohammad Aliannejadi, Evangelos Kanoulas:
Towards Building Economic Models of Conversational Search. - Shahab Boumi, Adan Vela:
Impacts of Students Academic Performance Trajectories on Final Academic Success. - Jan Cychnerski, Tomasz Dziubich, Adam Brzeski:
ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification. - Benjamin Aram Berendsohn, Simona Boyadzhiyska, László Kozma:
Fixed-point cycles and EFX allocations. - Hashmat Shadab Malik, Ikboljon Sobirov, Abdelrahman Mohamed:
Object Detection in Aerial Images: What Improves the Accuracy? - Christel Baier, Florian Funke, Jakob Piribauer, Robin Ziemek:
On probability-raising causality in Markov decision processes. - Kaitlin Gili, Marta Mauri, Alejandro Perdomo-Ortiz:
Evaluating Generalization in Classical and Quantum Generative Models. - Alexander Bork, Joost-Pieter Katoen, Tim Quatmann:
Under-Approximating Expected Total Rewards in POMDPs. - Hadi Hosseini, Fatima Umar, Rohit Vaish:
Two for One & One for All: Two-Sided Manipulation in Matching Markets. - Gian Marti, Christoph Studer:
Mitigating Smart Jammers in MU-MIMO via Joint Channel Estimation and Data Detection. - Zhuowei Li, Zihao Liu, Zhiqiang Hu, Qing Xia, Ruiqin Xiong, Shaoting Zhang, Dimitris N. Metaxas, Tingting Jiang:
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. - Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi:
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. - Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
FedComm: Federated Learning as a Medium for Covert Communication. - Debasis Dwibedy, Rakesh Mohanty:
A Note on Hardness of Multiprocessor Scheduling with Scheduling Solution Space Tree. - Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev:
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. - Théo Frottier, Bertrand Georgeot, Olivier Giraud:
Harmonic structures of Beethoven quartets: a complex network approach. - Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Deconfounding to Explanation Evaluation in Graph Neural Networks. - Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski:
Conversational Information Seeking. - Junchen Zhao, Yurun Song, Junlin Wang, Ian G. Harris:
GAP-Gen: Guided Automatic Python Code Generation. - Xu Huang:
Incoherent coherences. - Yongjie Guan, Xueyu Hou, Nan Wu, Bo Han, Tao Han:
Realtime 3D Object Detection for Headsets. - Dimitrios C. Gklezakos, Rajesh P. N. Rao:
Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies. - Haizi Yu, Igor Mineyev, Lav R. Varshney, James A. Evans:
Learning from One and Only One Shot. - Laura Martinez-Sanchez, Daniele Borio, Raphaël d'Andrimont, Marijn Van der Velde:
Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation. - Matej Troják, David Safránek, Lubos Brim:
Biochemical Space Language in Relation to Multiset Rewriting Systems. - Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica:
Representing Long-Range Context for Graph Neural Networks with Global Attention. - Alberto Delmas Lascorz, Mostafa Mahmoud, Andreas Moshovos:
APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference. - Christian Rathgeb, Daniel Fischer, Pawel Drozdowski, Christoph Busch:
Reliable Detection of Doppelgängers based on Deep Face Representations. - Wesley A. Suttle, Alec Koppel, Ji Liu:
Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search. - Christian A. Scholbeck, Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl, Christian Heumann:
Marginal Effects for Non-Linear Prediction Functions. - Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann:
Point-NeRF: Point-based Neural Radiance Fields. - Karthik Dinakar, Henry Lieberman:
Lensing Machines: Representing Perspective in Latent Variable Models. - Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. - Vivek Parekh, Dominik Flore, Sebastian Schöps:
Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines. - Patrick S. Flannery, Giri Venkataramanan:
A Grid Fault Tolerant Doubly Fed Induction Generator Wind Turbine via Series Connected Grid Side Converter. - Sravya Kondrakunta, Venkatsampath Raja Gogineni, Michael T. Cox, Demetris Coleman, Xiaobao Tan, Tony X. Lin, Mengxue Hou, Fumin Zhang, Frank McQuarrie, Catherine R. Edwards:
The Rational Selection of Goal Operations and the Integration ofSearch Strategies with Goal-Driven Autonomy. - Pichao Wang, Fan Wang, Hao Li:
Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer. - Young-Ho Kim, Jarrod Collins, Zhongyu Li, Ponraj Chinnadurai, Ankur Kapoor, C. Huie Lin, Tommaso Mansi:
Automated Catheter Tip Repositioning for Intra-cardiac Echocardiography. - Max Wolff, Stuart Wolff:
Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers. - Till Tantau:
On the Satisfaction Probability of k-CNF Formulas. - Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust:
Environment Generation for Zero-Shot Compositional Reinforcement Learning. - (Withdrawn) Approximating the discrete and continuous median line segments in d dimensions.
- Shashank Shekhar, Avinash Patel, Mrinal Haloi, Asif Salim:
An Ensemble Model for Face Liveness Detection. - Jeffrey Zhao, Raghav Gupta, Yuan Cao, Dian Yu, Mingqiu Wang, Harrison Lee, Abhinav Rastogi, Izhak Shafran, Yonghui Wu:
Description-Driven Task-Oriented Dialog Modeling. - Dheeraj Baby, Yu-Xiang Wang:
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond. - Hossein Kalantar-Neyestanaki, Madjid Soltani:
Uncertainty-Cognizant Model Predictive Control for Energy Management of Residential Buildings with PVT and Thermal Energy Storage. - Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel:
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics. - Zachary M. Miksis, Yong-Tao Zhang:
Sparse grid implementation of a fixed-point fast sweeping WENO scheme for Eikonal equations. - Farjana Siddiqua, Xihui Xie:
Numerical Analysis of A MODIFIED SMAGORINSKY MODEL. - Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna:
Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity. - Zhaoxin Luo, Michael Zhu:
Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing. - Ido Ben-Shaul, Shai Dekel:
Nearest Class-Center Simplification through Intermediate Layers. - Junjie Wang, Feng Gao, Junyu Dong, Qian Du:
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification. - Tesshu Hanaka, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Kazuhiro Kurita, Yota Otachi:
A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems. - Zhangyong Tang, Tianyang Xu, Xiao-Jun Wu:
Temporal Aggregation for Adaptive RGBT Tracking. - Zhuoran Zeng, Ernest Davis:
Physical Reasoning in an Open World. - Prarthana Bhattacharyya, Chenge Li, Xiaonan Zhao, István Fehérvári, Jason Sun:
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime. - Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Jingkuan Song, Yaochu Jin:
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis. - Junjie Wang, Feng Gao, Junyu Dong, Shan Zhang, Qian Du:
Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network. - Siyan Li, Yue Xiao, Yuhang Zhang, Lei Chu, Robert C. Qiu:
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images. - Zhiyuan You, Kai Yang, Wenhan Luo, Xin Lu, Lei Cui, Xinyi Le:
Iterative Correlation-based Feature Refinement for Few-shot Counting. - Li Chu, Rui Wang, Xiao-Jun Wu:
Collaborative Representation for SPD Matrices with Application to Image-Set Classification. - Huang Huang, Michael Danielczuk, Chung Min Kim, Letian Fu, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg:
Mechanical Search on Shelves using a Novel "Bluction" Tool. - Hongjia Wu, Ozgu Alay, Anna Brunström, Giuseppe Caso, Simone Ferlin:
FALCON: Fast and Accurate Multipath Scheduling using Offline and Online Learning. - Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao:
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. - Xuemei Tang, Jun Wang, Qi Su:
Chinese Word Segmentation with Heterogeneous Graph Neural Network. - Teng Guo, Jingjin Yu:
Sub-1.5 Time-Optimal Multi-Robot Path Planning on Grids in Polynomial Time. - Han Hu, Xinrong Liang, Yulin Ding, Qisen Shang, Bo Xu, Xuming Ge, Min Chen, Ruofei Zhong, Qing Zhu:
Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Façade Modeling. - Moein Khazraee, Alex Forencich, George Papen, Alex C. Snoeren, Aaron Schulman:
Shire: Making FPGA-accelerated Middlebox Development More Pleasant. - Yi Hou, Chengyang Li, Fan Yang, Cong Ma, Liping Zhu, Yuan Li, Huizhu Jia, Xiaodong Xie:
BBA-net: A bi-branch attention network for crowd counting. - Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO: Contrastive Label Disambiguation for Partial Label Learning. - Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, Christos V. Verikoukis:
Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. - Ishrak Jahan Ratul, Ummay Habiba Wani, Mirza Muntasir Nishat, Abdullah Al-Monsur, Abrar Mohammad Ar-Rafi, Fahim Faisal, Mohammad Ridwan Kabir:
Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-squared Test and Hyper-parameter Optimization: A Retrospective Analysis. - Dmitry V. Gribanov, Dmitry S. Malyshev:
Faster ILP Algorithms for Problems with Sparse Matrices and Their Applications to Multipacking and Multicover Problems in Graphs and Hypergraphs. - Farhad Rezazadeh, Hatim Chergui, Luis Blanco, Luis Alonso, Christos V. Verikoukis:
A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. - Yi Hou, Chengyang Li, Yuheng Lu, Liping Zhu, Yuan Li, Huizhu Jia, Xiaodong Xie:
Enhancing and Dissecting Crowd Counting By Synthetic Data. - Shiwen He, Shaowen Xiong, Zhenyu An, Wei Zhang, Yongming Huang, Yaoxue Zhang:
An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks. - Keqi Wang, Ziteng Cui, Ge Wu, Yin Zhuang, Yuhua Qian:
Linear Array Network for Low-light Image Enhancement. - Farooq Aslam, Muhammad Farooq Haydar:
Nonlinear H∞ Filtering on the Special Orthogonal Group SO(3) using Vector Directions. - Yan Zhang, Jiayi Zhang, Marco Di Renzo, Huahua Xiao, Bo Ai:
Reconfigurable Intelligent Surfaces with Outdated Channel State Information: Centralized vs. Distributed Deployments. - Leonardo Horn Iwaya, Muhammad Ali Babar, Awais Rashid, Chamila Wijayarathna:
On the Privacy of Mental Health Apps: An Empirical Investigation and its Implications for Apps Development. - Ayelet Lotem, Sarah Azouvi, Patrick McCorry, Aviv Zohar:
Sliding Window Challenge Process for Congestion Detection. - Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Leaf: Multiple-Choice Question Generation. - Stephan Druskat, Oliver Bertuch, Guido Juckeland, Oliver Knodel, Tobias Schlauch:
Software publications with rich metadata: state of the art, automated workflows and HERMES concept. - Martino Manzolini:
Comparison of 6 different approaches to outclass Top-k queries and Skyline queries. - Xiangyu Song, Jianxin Li, Qi Lei, Wei Zhao, Yunliang Chen, Ajmal Mian:
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing. - Mantang Guo, Jing Jin, Hui Liu, Junhui Hou, Huanqiang Zeng, Jiwen Lu:
Content-aware Warping for View Synthesis. - Teng Foong Lam, Hermann Blum, Roland Siegwart, Abel Gawel:
SL Sensor: An Open-Source, ROS-Based, Real-Time Structured Light Sensor for High Accuracy Construction Robotic Applications. - Haritha K, Vineeth Bala Sukumaran, Chandramani Singh:
Slotted ALOHA and CSMA Protocols for FMCW Radar Networks. - Liyue Zhang, Qing Wang, Haozhi Wang, Peng Chen, Hua Chen, Wei Liu, Zhiqiang Wu:
Manifold Optimization Based Multi-user Rate Maximization Aided by Intelligent Reflecting Surface. - Daniel Rho, Jinhyeok Park, Jong Hwan Ko:
NAS-VAD: Neural Architecture Search for Voice Activity Detection. - Dmitry A. Zaitsev:
Strong Sleptsov Net is Turing-Complete. - Zhipeng Wang, Stefanos Chaliasos, Kaihua Qin, Liyi Zhou, Lifeng Gao, Pascal Berrang, Ben Livshits, Arthur Gervais:
On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy. - Nicolas Dumas, Valentin Derangère, Laurent Arnould, Sylvain Ladoire, Louis-Oscar Morel, Nathan Vinçon:
Inter-Semantic Domain Adversarial in Histopathological Images. - Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo Kaski:
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification. - Martijn Gösgens, Anton Zhiyanov, Alexey Tikhonov, Liudmila Prokhorenkova:
Good Classification Measures and How to Find Them. - Jie Gao, Pin Sym Foong, Yifan Yang, Weilin Jiang, Yijie Chen, Xiayin Ying, Simon T. Perrault:
From 996 to 007: Challenges of Working from Home During the Epidemic in China. - Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying:
Differentially Private SGDA for Minimax Problems. - Jingwen Zhang, Yuezhou Wu, Rong Pan:
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint. - Xi Zheng, Rui Ma, Rui Gao, Qi Hao:
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination Systems. - Ghulam Mujtaba, Adeel Malik, Eun-Seok Ryu:
LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN. - Haritha K, Chandramani Singh:
Scheduling Policies for Stability and Optimal Server Running Cost in Cloud Computing Platforms. - Marco Virgolin, Saverio Fracaros:
On the Robustness of Counterfactual Explanations to Adverse Perturbations. - Sabah Al-Fedaghi, Bader BehBehani:
Software Engineering Meets Network Engineering: Conceptual Model for Events Monitoring and Logging. - Anas Osman, Morteza Alijani:
Energy-Efficient Techniques for UAVs in Communication-based Applications. - Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung Gu Kang:
Multi-Agent Reinforcement Learning for Distributed Joint Communication and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile Edge Computing Network. - Arka Ghosh, Piotr Hofman, Slawomir Lasota:
Solvability of orbit-finite systems of linear equations. - J. Rafid Siddiqui:
Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network. - Andrei D. Polyanin, Inna K. Shingareva:
The similarity index of scientific publications with equations and formulas, identification of self-plagiarism, and testing of the iThenticate system. - Rongen Dong, Feng Shu, Riqing Chen, Yongpeng Wu, Cunhua Pan, Jiangzhou Wang:
Beamforming and Power Allocation for Double-RIS-aided Two-way Directional Modulation Network. - Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao:
Online Attentive Kernel-Based Temporal Difference Learning. - Gaojie Jin, Xinping Yi, Xiaowei Huang:
Neuronal Correlation: a Central Concept in Neural Network. - Anze Pirnat, Blaz Bertalanic, Gregor Cerar, Mihael Mohorcic, Marko Meza, Carolina Fortuna:
Towards Sustainable Deep Learning for Wireless Fingerprinting Localization. - Ziyang Lu, Mustafa Cenk Gursoy:
Dynamic Channel Access via Meta-Reinforcement Learning. - Jinkai Zheng, Tom H. Luan, Longxiang Gao, Yao Zhang, Yuan Wu:
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles. - Ghulam Mujtaba, Jaehyuk Choi, Eun-Seok Ryu:
LTC-GIF: Attracting More Clicks on Feature-length Sports Videos. - Paris V. Giampouras, Benjamin D. Haeffele, René Vidal:
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. - Steve Huntsman:
Physical geometry of channel degradation. - Xinrui Li, Haiquan Lu, Yong Zeng, Shi Jin, Rui Zhang:
Near-Field Modelling and Performance Analysis of Modular Extremely Large-Scale Array Communications. - Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis:
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. - Matteo Mio, Ralph Sarkis, Valeria Vignudelli:
Beyond Nonexpansive Operations in Quantitative Algebraic Reasoning. - Susith Hemathilaka, Achala Aponso:
A Comprehensive Study on Occlusion Invariant Face Recognition under Face Mask Occlusion. - Sepideh Fahimifar, Ali Ghorbi, Marcel Ausloos:
Are We Standing on Unreliable Shoulders? The Effect of Retracted Papers Citations on Previous and Subsequent Published Papers: A Study of the Web of Science Database. - H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof:
Excitation allocation for generic identifiability of linear dynamic networks with fixed modules. - Armin Eftekhari, Luis Vargas, Konstantinos Zygalakis:
The Forward-Backward Envelope for Sampling with the Overdamped Langevin Algorithm. - (Withdrawn) HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting.
- H. M. Nasir, Khadija Al Hasani:
Analysis of a new type of fractional linear multistep method of order two with improved stability. - Brennan Gebotys, Alexander Wong, David A. Clausi:
Bag of Tricks for Natural Policy Gradient Reinforcement Learning. - Zhe Lin, Xiaojun Wan:
Visual Information Guided Zero-Shot Paraphrase Generation. - Saurabh Goswami, A. N. Rajagopalan:
Robust Unpaired Single Image Super-Resolution of Faces. - Madhu R. Kamble, Jose Patino, Maria A. Zuluaga, Massimiliano Todisco:
Exploring auditory acoustic features for the diagnosis of the Covid-19. - Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu:
Neural Network based Interactive Lane Changing Planner in Dense Traffic with Safety Guarantee. - Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Li-Ping Liu:
Predicting Physics in Mesh-reduced Space with Temporal Attention. - Julia R. Cordero, Thomas R. Groechel, Maja J. Mataric:
What and How Are We Reporting in HRI? A Review and Recommendations for Reporting Recruitment, Compensation, and Gender. - Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. - Zhiting Hu, Li Erran Li:
A Causal Lens for Controllable Text Generation. - Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos:
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes. - K. K. Krishnan Namboodiri, B. Sundar Rajan:
An Improved Lower Bound for Multi-Access Coded Caching. - Sahraoui Dhelim, Liming Chen, Huansheng Ning, Chris D. Nugent:
Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review. - Paul Festor, Ali Shafti, Alex Harston, Mickey Li, Pavel Orlov, A. Aldo Faisal:
MIDAS: Deep learning human action intention prediction from natural eye movement patterns. - Yotam Gafni, Moshe Tennenholtz:
Long-term Data Sharing under Exclusivity Attacks. - Ying Wang, Chiuman Ho, Wenju Xu, Ziwei Xuan, Xudong Liu, Guo-Jun Qi:
Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation. - Xiangguo Liu, Chao Huang, Yixuan Wang, Bowen Zheng, Qi Zhu:
Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner. - Maliha Arif, Calvin Yong, Abhijit Mahalanobis:
Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs. - Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
glassoformer: a query-sparse transformer for post-fault power grid voltage prediction. - Gonçalo Raposo, Rui Ribeiro, Bruno Martins, Luísa Coheur:
Question rewriting? Assessing its importance for conversational question answering. - Vinícius da Silva, Tiago Novello, Guilherme G. Schardong, Luiz Schirmer, Hélio Lopes, Luiz Velho:
MIP-plicits: Level of Detail Factorization of Neural Implicits Sphere Tracing. - Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. - Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Julia Stoyanovich:
External Stability Auditing to Test the Validity of Personality Prediction in AI Hiring. - Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia:
Generative Adversarial Network Applications in Creating a Meta-Universe. - Soheyla Amirian, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia:
An Integrated Approach for Video Captioning and Applications. - Bi-Yuan Liu, Huai-Xin Chen, Zhixi Wang:
LSNet: Extremely Light-Weight Siamese Network For Change Detection in Remote Sensing Image. - Mehwish Nasim, Derek Weber, Tobin South, Jonathan Tuke, Nigel G. Bean, Lucia Falzon, Lewis Mitchell:
Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere. - Minh Tran, Mohammad Soleymani:
A Pre-trained Audio-Visual Transformer for Emotion Recognition. - Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Mixed X-Ray Image Separation for Artworks with Concealed Designs. - Jianfeng Dong, Yabing Wang, Xianke Chen, Xiaoye Qu, Xirong Li, Yuan He, Xun Wang:
Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval. - Xiaoli Liu, Di Guo, Jianqin Yin:
ASCNet: Action Semantic Consistent Learning of Arbitrary Progress Levels for Early Action Prediction. - Yulin Yang, Patrick Geneva, Xingxing Zuo, Guoquan Huang:
Online Self-Calibration for Visual-Inertial Navigation Systems: Models, Analysis and Degeneracy. - Tareq Tayeh, Sulaiman A. Aburakhia, Ryan Myers, Abdallah Shami:
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series. - Xin Wang, Serdar Kadioglu:
Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets. - Xidong Wang:
Prescribed Performance Adaptive Fixed-Time Attitude Tracking Control of a 3-DOF Helicopter with Small Overshoot. - Jiasi Weng, Jian Weng, Gui Tang, Anjia Yang, Ming Li, Jia-Nan Liu:
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing. - Miryeong Kwon, Donghyun Gouk, Sangwon Lee, Myoungsoo Jung:
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs. - Minjie Cheng, Hongteng Xu:
Revisiting Pooling through the Lens of Optimal Transport. - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Gradients for Semi-Supervised Continual Learning. - Zhongfang Zhuang:
Deep Learning on Attributed Sequences. - Ming Dai, Jinglin Huang, Jiedong Zhuang, Wenbo Lan, Yongheng Cai, Enhui Zheng:
Vision-Based UAV Localization System in Denial Environments. - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui:
One-Shot Learning on Attributed Sequences. - Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr:
Deeply Explain CNN via Hierarchical Decomposition. - Ming Dai, Jianhong Hu, Jiedong Zhuang, Enhui Zheng:
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization. - (Withdrawn) Visual Object Tracking on Multi-modal RGB-D Videos: A Review.
- I-Hsi Kao, Ya-Zhu Yian, Jian-an Su, Yi-Horng Lai, Jau-Woei Perng, Tung-Li Hsieh, Yi-Shueh Tsai, Min-Shiu Hsieh:
Design of Sensor Fusion Driver Assistance System for Active Pedestrian Safety. - Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang:
Weight Expansion: A New Perspective on Dropout and Generalization. - Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun:
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. - Jeongmin Lee, Minji Lee, Dongjun Lee:
Large-Dimensional Multibody Dynamics Simulation Using Contact Nodalization and Diagonalization. - Kai Lv:
FN-Net: Remove the Outliers by Filtering the Noise. - Andrea Burattin:
Online Soft Conformance Checking: Any Perspective Can Indicate Deviations. - Kui Ren, Yunan Yang, Björn Engquist:
A Generalized Weighted Optimization Method for Computational Learning and Inversion. - Abbas Raza Ali:
A Large and Diverse Arabic Corpus for Language Modeling. - Sandeep Kumar Patel, Avtar Singh:
Task Scheduling in Cloud Computing Using Hybrid Meta-heuristic: A Review. - Adam Dziedzic, Muhammad Ahmad Kaleem, Yu Shen Lu, Nicolas Papernot:
Increasing the Cost of Model Extraction with Calibrated Proof of Work. - Peiyuan Sun, Long Huo, Siyuan Liang, Xin Chen:
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network. - He-Feng Yin, Xiao-Jun Wu, Xiaoning Song:
Face recognition via compact second order image gradient orientations. - Tiago Novello, Vinícius da Silva, Hélio Lopes, Guilherme G. Schardong, Luiz Schirmer, Luiz Velho:
Differential Geometry in Neural Implicits. - Yusuke Izawa, Hidehiko Masuhara, Carl Friedrich Bolz-Tereick:
Two-level Just-in-Time Compilation with One Interpreter and One Engine. - Xiangyu Zhao:
Wavelet-Attention CNN for Image Classification. - Rishiraj Adhikary, Dhruvi Lodhavia, Chris Francis, Rohit Patil, Tanmay Srivastava, Prerna Khanna, Nipun Batra, Joe Breda, Jacob Peplinski, Shwetak N. Patel:
SpiroMask: Measuring Lung Function Using Consumer-Grade Masks. - Raghav Jain, Vaibhav Mavi, Anubhav Jangra, Sriparna Saha:
WIDAR - Weighted Input Document Augmented ROUGE. - Pablo Dorta-González, María-Isabel Dorta-González:
Contribution of the Open Access modality to the impact of hybrid journals controlling by field and time effects. - Amith Manoharan, Rajnikanth Sharma, P. B. Sujit:
Multi-AAV Cooperative Path Planning using Nonlinear Model Predictive Control with Localization Constraints. - Damien Garreau:
How to scale hyperparameters for quickshift image segmentation. - Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. - Zhangyong Tang, Tianyang Xu, Xiao-Jun Wu:
A Survey for Deep RGBT Tracking. - Alexander Kozachinskiy:
State Complexity of Chromatic Memory in Infinite-Duration Games. - Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian:
1000x Faster Camera and Machine Vision with Ordinary Devices. - John E. Laird:
An Analysis and Comparison of ACT-R and Soar. - Qiang Meng, Xinqian Gu, Xiaqing Xu, Feng Zhou:
Basket-based Softmax. - Hojjat Salehinejad, Shahrokh Valaee:
LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels. - Anish Lahiri, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar:
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data. - Chengchao Zhao, Ruoyu Yang, Yana Di, Jiwei Zhang:
Sharp error estimate of variable time-step IMEX BDF2 scheme for parabolic integro-differential equations with initial singularity arising in finance. - Veneta Haralampieva, Ozan Caglayan, Lucia Specia:
Supervised Visual Attention for Simultaneous Multimodal Machine Translation. - Zheren Wang, Kevin Cruse, Yuxing Fei, Ann Chia, Yan Zeng, Haoyan Huo, Tanjin He, Bowen Deng, Olga Kononova, Gerbrand Ceder:
ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols. - Adar Zeitak, Adam Morrison:
Cuckoo Trie: Exploiting Memory-Level Parallelism for Efficient DRAM Indexing. - Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Hiroki Kanezashi, Toyotaro Suzumura, Isaiah Onando Mulang':
Investigating Expressiveness of Transformer in Spectral Domain for Graphs. - Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino:
On the throughput of the common target area for robotic swarm strategies - extended version. - Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino:
Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area. - Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick D. McDaniel:
Building a Privacy-Preserving Smart Camera System. - Anugya Srivastava, Shriya Jain, Mugdha Thigle:
Out of Distribution Detection on ImageNet-O. - Lin Yang, Yu-Zhen Janice Chen, Mohammad Hassan Hajiesmaili, John C. S. Lui, Don Towsley:
Distributed Bandits with Heterogeneous Agents. - Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech:
Survey and Systematization of 3D Object Detection Models and Methods. - Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Transformer-based SAR Image Despeckling. - Bastien Confais, Suayb S. Arslan, Benoît Parrein:
SToN: A New Fundamental Trade-off for Distributed Data Storage Systems. - Sadeq Bani Melhem, Hina Tabassum:
User Pairing and Outage Analysis in Multi-Carrier NOMA-THz Networks. - Jacob Morra, Mark Daley:
Imposing Connectome-Derived Topology on an Echo State Network. - Ruibo Tu, Kun Zhang, Hedvig Kjellström, Cheng Zhang:
Optimal transport for causal discovery. - Zhi Deng, Yang Liu, Hao Pan, Wassim Jabi, Juyong Zhang, Bailin Deng:
Sketch2PQ: Freeform Planar Quadrilateral Mesh Design via a Single Sketch. - Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. - Shagufta Mehnaz, Sayanton V. Dibbo, Ehsanul Kabir, Ninghui Li, Elisa Bertino:
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models. - Isaac Slavitt:
Prioritizing municipal lead mitigation projects as a relaxed knapsack optimization: a method and case study. - Jie Mei, Jingxi Yu, Suzanne Romain, Craig S. Rose, Kelsey Magrane, Graeme LeeSon, Jenq-Neng Hwang:
Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image. - Darren Abramson, Ali Emami:
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring. - Mauricio A. Londoño, Francisco J. Rodríguez-Cortés:
Application of an RBF-FD solver for the Helmholtz equation to full-waveform inversion. - Andrés Villa, Kumail Alhamoud, Juan León Alcázar, Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem:
vCLIMB: A Novel Video Class Incremental Learning Benchmark. - Ahsan Waqas, Khoa D. Nguyen, Gottfried Lechner, Terence Chan:
Iterative Joint Parameters Estimation and Decoding in a Distributed Receiver for Satellite Applications and Relevant Cramer-Rao Bounds. - Dhurgham Hassan Mahlool, Mohammed Hamzah Abed:
A Comprehensive Survey on Federated Learning: Concept and Applications. - Hussein K. Alzubaidy, Dhiah Al-Shammary, Mohammed Hamzah Abed:
A Survey on Patients Privacy Protection with Stganography and Visual Encryption. - Dmitrijs Kass, Ekta Vats:
AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder Networks. - Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei:
Partition-Based Active Learning for Graph Neural Networks. - Houda Lamqaddam, Inez De Prekel, Koenraad Brosens, Katrien Verbert:
Perceptual Effects of Hierarchy in Art Historical Social Networks. - Zhijian Li, Jack Xin, Guofa Zhou:
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics. - Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer:
MISeval: a Metric Library for Medical Image Segmentation Evaluation. - Tianxiao Zhang, Ajay Sharda, Bo Luo, Guanghui Wang:
Dynamic Label Assignment for Object Detection by Combining Predicted and Anchor IoUs. - Wanyu Lin, Baochun Li, Cong Wang:
Towards Private Learning on Decentralized Graphs with Local Differential Privacy. - Aaron Nicolson, Jason Dowling, Bevan Koopman:
Improving Chest X-Ray Report Generation by Leveraging Warm-Starting. - Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Yingbin Zheng, Xin Li, Tianlong Ma, Liang He:
Cross-Domain Document Layout Analysis via Unsupervised Document Style Guide. - Yi Geng:
Map-Assisted Material Identification at 100 GHz and Above Using Radio Access Technology. - Ye Zhang, Chuchu Chen:
Stochastic asymptotical regularization for linear inverse problems. - Takashi Goda, Pierre L'Ecuyer:
Construction-free median quasi-Monte Carlo rules for function spaces with unspecified smoothness and general weights. - Min Qiu, Xiaowei Wu, Jinhong Yuan, Alexandre Graell i Amat:
Generalized Spatially-Coupled Parallel Concatenated Codes With Partial Repetition. - Min Qiu, Jinhong Yuan:
Sub-Block Rearranged Staircase Codes. - Yuling Jiao, Yang Wang, Yunfei Yang:
Approximation bounds for norm constrained neural networks with applications to regression and GANs. - Yin Dai, Yifan Gao, Fayu Liu, Jun Fu:
Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis. - Jiongzhi Zheng, Yawei Hong, Wenchang Xu, Wentao Li, Yongfu Chen:
An Effective Iterated Two-stage Heuristic Algorithm for the Multiple Traveling Salesmen Problem. - Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
Post-processing of Differentially Private Data: A Fairness Perspective. - Xue Jiang, Xiulian Peng, Chengyu Zheng, Huaying Xue, Yuan Zhang, Yan Lu:
End-to-End Neural Audio Coding for Real-Time Communications. - Omri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu:
Active Learning Polynomial Threshold Functions. - Kumar Vijay Mishra, Arpan Chattopadhyay, Siddharth Sankar Acharjee, Athina P. Petropulu:
OptM3Sec: Optimizing Multicast IRS-Aided Multiantenna DFRC Secrecy Channel with Multiple Eavesdroppers. - Chen Wu, Sencun Zhu, Prasenjit Mitra:
Federated Unlearning with Knowledge Distillation. - Imoleayo Abel, Drew Steeves, Miroslav Krstic:
Prescribed-Time Safety Design for a Chain of Integrators. - Ankit Kulshrestha, Vishwas Lele:
Cobol2Vec: Learning Representations of Cobol code. - Kunchang Li, Yali Wang, Junhao Zhang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unifying Convolution and Self-attention for Visual Recognition. - Xiaobo Guo, Yaojia Sun, Soroush Vosoughi:
Emotion-based Modeling of Mental Disorders on Social Media. - Dan Qiao, Zhaoxia Peng, Guoguang Wen, Tingwen Huang:
Novel Nussbaum-Type Function based Safe Adaptive Distributed Consensus Control with Arbitrary Unknown Control Direction. - Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd:
Design of Fieldable Cross-Layer Optimized Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials. - Xu Liu, Shuang Li, Ming Xin:
Mars Entry Trajectory Planning with Range Discretization and Successive Convexification. - Yan Li, Tuo Zhao, Guanghui Lan:
Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity. - Anh Khoa Lanh Luu, Van Tu Duong, Huy Hung Nguyen, Sang Bong Kim, Tan Tien Nguyen:
Hybrid Adaptive Control for Series Elastic Actuator of Humanoid Robot. - Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima:
Probability Distribution on Rooted Trees. - Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Kentaro Oguchi, Matthew J. Barth:
Cyber Mobility Mirror for Enabling Cooperative Driving Automation: A Co-Simulation Platform. - Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki:
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. - Xiaochun An, Frank K. Soong, Lei Xie:
Disentangling Style and Speaker Attributes for TTS Style Transfer. - Weidong Wang, Dian Li, Yujian Kang:
A Two-phase Recommendation Framework for Consistent Java Method Names. - Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri:
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT. - Wiebke Toussaint, Aaron Yi Ding:
Bias in Automated Speaker Recognition. - Yong Huang, Xiang Li, Wei Wang, Tao Jiang, Qian Zhang:
Forgery Attack Detection in Surveillance Video Streams Using Wi-Fi Channel State Information. - André Greiner-Petter, Howard S. Cohl, Abdou Youssef, Moritz Schubotz, Avi Trost, Rajen Dey, Akiko Aizawa, Bela Gipp:
Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems. - Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, Zhongzhou Zhao, Hongjun Dai:
Dual Preference Distribution Learning for Item Recommendation. - Md. Rashid Al Asif, Khondokar Fida Hasan, Md. Zahidul Islam, Rahamatullah Khondoker:
STRIDE-based Cyber Security Threat Modeling for IoT-enabled Precision Agriculture Systems. - Kei Matsushima, Yuki Noguchi, Takayuki Yamada:
A coupled-mode theory for two-dimensional exterior Helmholtz problems based on the Neumann and Dirichlet normal mode expansion. - Ruoguang Li, Zhiqiang Xiao, Yong Zeng:
Beamforming Towards Seamless Sensing Coverage for Cellular Integrated Sensing and Communication. - Yifan Zhu, Alexander Smith, Kris Hauser:
Automated Heart and Lung Auscultation in Robotic Physical Examinations. - Aman Rangapur, Tarun Kanakam, Ajith Jubilson:
DDoSDet: An approach to Detect DDoS attacks using Neural Networks. - Varvara Guljajeva:
Synthetic Books. - Simon Vandevelde, Joost Vennekens:
Problife: a Probabilistic Game of Life. - Yulin Chen, Zelai Yao, Haixiao Chi, Dov M. Gabbay, Bo Yuan, Bruno Bentzen, Beishui Liao:
BTPK-based learning: An Interpretable Method for Named Entity Recognition. - Mehak Fatima, Aimal Rextin, Mehwish Nasim, Osman Yusuf:
Digital Information Seeking and Sharing Behavior During the First Wave of the COVID-19 Pandemic. - Zhi Ji, Xinrong Guan, Jia Tu, Qingqing Wu, Wendong Yang:
Robust Trajectory and Communication Design in IRS-Assisted UAV Communication under Malicious Jamming. - Georgios Tzounas, Ioannis Dassios, Federico Milano:
Small-Signal Stability Analysis of Numerical Integration Methods. - Wenzhi Fang, Ziyi Yu, Yuning Jiang, Yuanming Shi, Colin N. Jones, Yong Zhou:
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning. - Kei Matsushima, Hiroshi Isakari, Toru Takahashi, Toshiro Matsumoto:
A topology optimization of open acoustic waveguides based on a scattering matrix method. - Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee:
PaRT: Parallel Learning Towards Robust and Transparent AI. - Sajjad Hesamipour, Mohammad Ali Balafar, Saeed Mousazadeh:
Detecting Communities in Complex Networks using an Adaptive Genetic Algorithm and node similarity-based encoding. - Thang X. Vu, Nicola Maturo, Symeon Chatzinotas, Joel Grotz, Tom Christophory, Björn E. Ottersten:
Dynamic Bandwidth Allocation and Edge Caching Optimization for Nonlinear Content Delivery through Flexible Multibeam Satellites. - Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma:
Backdoor Defense with Machine Unlearning. - Tonghe Wang, Songpu Ai, Zhihong Tian, Brij B. Gupta, Chun Shan:
A Blockchain-Based Distributed Computational Resource Trading System for Industrial Internet of Things Considering Multiple Preferences. - Xianyi Zeng, Giovanni Stabile, Efthymios N. Karatzas, Guglielmo Scovazzi, Gianluigi Rozza:
Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method. - Zhigang Tu, Zhisheng Huang, Yujin Chen, Di Kang, Linchao Bao, Bisheng Yang, Junsong Yuan:
Consistent 3D Hand Reconstruction in Video via self-supervised Learning. - Alexandros Gazis, Eleftheria Katsiri:
Crowd tracking and monitoring middleware via Map-Reduce. - Cristian Santini, Genet Asefa Gesese, Silvio Peroni, Aldo Gangemi, Harald Sack, Mehwish Alam:
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals. - Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann:
Scalable Safe Exploration for Global Optimization of Dynamical Systems. - Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Hui Wen Loh, Prabal Datta Barua, U. Rajendra Acharya:
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection. - Peter So, Jonas Wittmann, Patrick Ruhkamp, Andriy Sarabakha, Sami Haddadin:
Towards Remote Robotic Competitions: An Internet-Connected Task Board and Dashboard. - Rohan Tangri, Danilo P. Mandic, Anthony G. Constantinides:
Pearl: Parallel Evolutionary and Reinforcement Learning Library. - Ze-Yu Liu, Jianwei Liu, Xin Zuo, Ming-fei Hu:
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection. - Martin Kiss, Jan Kohút, Karel Benes, Michal Hradis:
Importance of Textlines in Historical Document Classification. - Kilian Schulze-Forster, Clement S. J. Doire, Gaël Richard, Roland Badeau:
Unsupervised Audio Source Separation Using Differentiable Parametric Source Models. - Angelique Loesch, Romaric Audigier:
Describe me if you can! Characterized Instance-level Human Parsing. - Maria Tsfasman, Avinash Saravanan, Dekel Viner, Daan Goslinga, Sarah de Wolf, Chirag Raman, Catholijn M. Jonker, Catharine Oertel:
Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction. - Vivek Parekh, Dominik Flore, Sebastian Schöps:
Performance analysis of Electrical Machines based on Electromagnetic System Characterization using Deep Learning. - Angelique Loesch, Jaonary Rabarisoa, Romaric Audigier:
End-to-end Person Search Sequentially Trained on Aggregated Dataset. - Maurice Laveaux, Wieger Wesselink, Tim A. C. Willemse:
On-The-Fly Solving for Symbolic Parity Games. - Tianyu Ren, Alexander Imani Cowen-Rivers, Haitham Bou-Ammar, Jan Peters:
Learning Geometric Constraints in Task and Motion Planning. - Patrick Ebel, Yajin Xu, Michael Schmitt, Xiaoxiang Zhu:
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal. - Francesco Belardinelli, Wojtek Jamroga, Vadim Malvone, Munyque Mittelmann, Aniello Murano, Laurent Perrussel:
Reasoning about Human-Friendly Strategies in Repeated Keyword Auctions. - Jia Xu, Humza Naseer, Sean B. Maynard, Justin Filippou:
Leveraging Data and Analytics for Digital Business Transformation through DataOps: An Information Processing Perspective. - Jiakang Zheng, Jiayi Zhang, Bo Ai:
Team-Optimal MMSE Combining for Cell-Free Massive MIMO Systems. - Jiakang Zheng, Jiayi Zhang, Enyu Shi, Jing Jiang, Bo Ai:
Uplink Performance of High-Mobility Cell-Free Massive MIMO-OFDM Systems. - Ievgen Kabin, Zoya Dyka, Dan Klann, Jan Schäffner, Peter Langendoerfer:
On the Complexity of Attacking Elliptic Curve Based Authentication Chips. - Raphaela Heil, Ekta Vats, Anders Hast:
Paired Image to Image Translation for Strikethrough Removal From Handwritten Words. - Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen:
Hierarchical Reinforcement Learning with Adversarially Guided Subgoals. - Tiago Novello, Vinícius da Silva, Hélio Lopes, Guilherme G. Schardong, Luiz Schirmer, Luiz Velho:
Neural Implicit Surfaces in Higher Dimension. - Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. - Arjun R. Akula:
Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding. - Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha:
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. - Francesco Bonaldi, Jérôme Droniou, Roland Masson:
Numerical analysis of a mixed-dimensional poromechanical model with frictionless contact at matrix-fracture interfaces. - Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu:
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. - Vilém Zouhar, Marius Mosbach, Debanjali Biswas, Dietrich Klakow:
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access. - Jiahao Chen, Dingji Li, Zeyu Mi, Yuxuan Liu, Binyu Zang, Haibing Guan, Haibo Chen:
DuVisor: a User-level Hypervisor Through Delegated Virtualization. - Andrei Cristian Nica, Khimya Khetarpal, Doina Precup:
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning. - Alessandro Benfenati, Alessio Marta:
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations. - (Withdrawn) Real-time computer-generated light field displays by pre-storing the invariable voxel-pixel mapping.
- Shantanu Shahane, Erman Guleryuz, Diab W. Abueidda, Allen Lee, Joe Liu, Xin Yu, Raymond Chiu, Seid Koric, Narayana R. Aluru, Placid M. Ferreira:
Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly. - Ramakrishna Vaikuntapu, Vineet Sahula, Lava Bhargava:
Variability aware Golden Reference Free methodology for Hardware Trojan Detection Using Robust Delay Analysis. - Yu Wang, Wujun Xie, Haochang Chen, David Day-Uei Li:
Low hardware consumption, resolution-configurable Gray code oscillator time-to-digital converters implemented in 16nm, 20nm and 28nm FPGAs. - Christopher Sun:
Analyzing Multispectral Satellite Imagery of South American Wildfires Using CNNs and Unsupervised Learning. - Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov:
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. - Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia:
A Review of Deep Transfer Learning and Recent Advancements. - Qi Liu, Dani Yogatama, Phil Blunsom:
Relational Memory Augmented Language Models. - Xie Xie, Chen He, Xiao-Ya Li, Z. Jane Wang:
Robust Joint Design for Intelligent Reflecting Surfaces Assisted Cell-Free Networks. - Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen:
Learning Sparse and Continuous Graph Structures for Multivariate Time Series Forecasting. - Bo Li, Qiulin Wang, Jiquan Pei, Yu Yang, Xiangyang Ji:
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN. - Jiehua Chen, Martin Nöllenburg, Sofia Simola, Anaïs Villedieu, Markus Wallinger:
Multidimensional Manhattan Preferences. - Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. - Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal:
Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources. - Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. - Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh:
Graph Neural Diffusion Networks for Semi-supervised Learning. - Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon:
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. - Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini:
Feature transforms for image data augmentation. - Valerio Paolicelli, Antonio Tavera, Carlo Masone, Gabriele Moreno Berton, Barbara Caputo:
Learning Semantics for Visual Place Recognition through Multi-Scale Attention. - Marta Kwiatkowska, Gethin Norman, David Parker, Gabriel Santos:
Correlated Equilibria and Fairness in Concurrent Stochastic Games. - Marthe Fogstad Dynge, Ugur Halden, Gro Klæboe, Umit Cali:
LCOE-based Pricing for DLT-enabled Local Energy Trading Platforms. - Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang:
Towards Collaborative Question Answering: A Preliminary Study. - Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi:
Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. - Hao-Chiang Shao, Hsing-Lei Ping, Kuo-Shiuan Chen, Weng-Tai Su, Chia-Wen Lin, Shao-Yun Fang, Pin-Yian Tsai, Yan-Hsiu Liu:
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning. - Jeffrey Galkowski, Euan A. Spence:
The Helmholtz boundary element method does not suffer from the pollution effect. - Binjie Zhang, Yixiao Ge, Yantao Shen, Yu Li, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan:
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval. - Akshansh Mishra, Raheem Al-Sabur, Ahmad K. Jassim:
Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process. - Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti:
Public Signaling in Bayesian Ad Auctions. - Sergio Rozada, Antonio G. Marques:
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning. - Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Susu M. Zughaier, Serkan Kiranyaz, M. Sohel Rahman:
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis. - Charul Paliwal, Pravesh Biyani:
Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing. - Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang:
Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks. - Sergey Ivanov:
Reinforcement Learning Textbook. - Hugo Jacob, Marcin Pilipczuk:
Bounding twin-width for bounded-treewidth graphs, planar graphs, and bipartite graphs. - Bilge Celik, Prabhant Singh, Joaquin Vanschoren:
Online AutoML: An adaptive AutoML framework for online learning. - Ayse Ünsal, Melek Önen:
Adversarial Classification under Gaussian Mechanism: Calibrating the Attack to Sensitivity. - Alberto Llera, Mick Brammer, Bethany Oakley, Julian Tillmann, M. Zabihi, T. Mei, Tony Charman, Christine Ecker, Flavio Dell'Acqua, Tobias Banaschewski, C. Moessnang, Simon Baron-Cohen, R. Holt, S. Durston, D. Murphy, Eva Loth, Jan K. Buitelaar, D. L. Floris, Christian F. Beckmann:
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project. - Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Deep Reinforcement Learning with Spiking Q-learning. - Siavash Ahrar, Manasi Raje, Irene C. Lee, Elliot E. Hui:
Pneumatic Computers for Embedded Control of Microfluidics. - Una Pale, Tomás Teijeiro, David Atienza:
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. - Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang:
Multi-Graph Fusion Networks for Urban Region Embedding. - Haichao Zhang, Wei Xu, Haonan Yu:
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning. - Martin Bromberger, Irina Dragoste, Rasha Faqeh, Christof Fetzer, Larry González, Markus Krötzsch, Maximilian Marx, Harish K. Murali, Christoph Weidenbach:
A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic. - Aoyu Wu, Dazhen Deng, Furui Cheng, Yingcai Wu, Shixia Liu, Huamin Qu:
In Defence of Visual Analytics Systems: Replies to Critics. - Siddhartha Datta, Nigel Shadbolt:
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models. - Davide Evangelista, Elena Morotti, Elena Loli Piccolomini:
RISING a new framework for few-view tomographic image reconstruction with deep learning. - Abdelkrim Abdelli:
Time distance based computation of the state space of preemptive real time systems. - Yao Shu, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low:
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search. - Jarne Van Mulders, Guus Leenders, Gilles Callebaut, Lieven De Strycker, Liesbet Van der Perre:
Aerial Energy Provisioning for Massive Energy-Constrained IoT by UAVs. - Lama Alqazlan, Rob Procter, Michael Castelle:
Using Computational Grounded Theory to Understand Tutors' Experiences in the Gig Economy. - Asher Trockman, J. Zico Kolter:
Patches Are All You Need? - Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier:
IMO3: Interactive Multi-Objective Off-Policy Optimization. - Mingzhe Chen, Xi Xiao, Bin Zhang, Xinyu Liu, Runiu Lu:
Neural Architecture Searching for Facial Attributes-based Depression Recognition. - Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause:
Constrained Policy Optimization via Bayesian World Models. - Rasmus Steffensen, Agnes Steinert, Ewoud Jan Jacob Smeur:
Non-Linear Dynamic Inversion with Actuator Dynamics: an Incremental Control Perspective. - Jae Oh Woo:
Analytic Mutual Information in Bayesian Neural Networks. - Arion Pons:
Pseudospectral continuation for aeroelastic stability analysis. - Rajai Nasser, Stefan Tiegel:
Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise. - Lee Prangnell, Victor Sanchez:
Spectral-PQ: A Novel Spectral Sensitivity-Orientated Perceptual Compression Technique for RGB 4: 4: 4 Video Data. - Thorsten Wißmann:
Supported Sets - A New Foundation For Nominal Sets And Automata. - Eda Oktay, Erin C. Carson:
Mixed Precision GMRES-based Iterative Refinement with Recycling. - Georgios Paraskevopoulos, Efthymios Georgiou, Alexandros Potamianos:
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis. - Kaveh Hassani, Amir Hosein Khas Ahmadi:
Learning Graph Augmentations to Learn Graph Representations. - David Austin, Malena I. Español, Mirjeta Pasha:
The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods. - Ayoub Ben-Ameur, Andrea Araldo, Tijani Chahed:
Cache Allocation in Multi-Tenant Edge Computing via online Reinforcement Learning. - Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro, Fernando Pérez-Cruz:
Deep Reinforcement Learning for Random Access in Machine-Type Communication. - Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. - Liangliang Xu, Aiwen Jiang, Daoming Lyu, Bo Liu:
TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence. - Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme:
Learning to Act with Affordance-Aware Multimodal Neural SLAM. - Jagdeep Singh Bhatia, Holly Jackson, Yunsheng Tian, Jie Xu, Wojciech Matusik:
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots. - Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. - Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor:
On Evaluation Metrics for Graph Generative Models. - Geunseob Oh, Huei Peng:
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving. - Zev Battad, Mei Si:
A System for Image Understanding using Sensemaking and Narrative. - Kaiqi Zhao, Animesh Jain, Ming Zhao:
Iterative Activation-based Structured Pruning. - Zhengrong Xue, Ziao Guo, Yiwei Guo:
BiasedWalk: Learning Global-aware Node Embeddings via Biased Sampling. - Chunnan Wang, Hongzhi Wang, Xiangyu Shi:
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy. - Jurijs Nazarovs, Cristian Lumezanu, Qianying Ren, Yuncong Chen, Takehiko Mizoguchi, Dongjin Song, Haifeng Chen:
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series. - Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang:
Learning Contextual Bandits Through Perturbed Rewards. - Ninareh Mehrabi, Cyprien de Lichy, John McKay, Cynthia He, William Campbell:
Towards Multi-Objective Statistically Fair Federated Learning. - Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab:
Box Embeddings for the Description Logic EL++. - Luca Bortolussi, Giuseppe Maria Gallo, Jan Kretínský, Laura Nenzi:
Learning Model Checking and the Kernel Trick for Signal Temporal Logic on Stochastic Processes. - Zheng Li, Rajiv Ranjan:
Just Enough, Just in Time, Just for "Me": Fundamental Principles for Engineering IoT-native Software Systems. - Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos:
Learning Optimal Fair Classification Trees. - Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices. - Ramakrishna Kakarala, Jun Wei:
What is the cost of adding a constraint in linear least squares? - Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento:
Community-based anomaly detection using spectral graph filtering. - Adrian Ebert, Peter Kritzer, Friedrich Pillichshammer:
Tractability of approximation in the weighted Korobov space in the worst-case setting. - Aakash Tyagi, Addison Crump, Ahmad-Reza Sadeghi, Garrett Persyn, Jeyavijayan Rajendran, Patrick Jauernig, Rahul Kande:
TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities. - Egbert Castro, Abhinav Godavarthi, Julian A. Rubinfien, Kevin B. Givechian, Dhananjay Bhaskar, Smita Krishnaswamy:
Guided Generative Protein Design using Regularized Transformers. - Tatiana Castro Vélez, Raffi Khatchadourian, Mehdi Bagherzadeh, Anita Raja:
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study. - Hassan Anifowose, Wei Yan, Manish K. Dixit:
BIM LOD + Virtual Reality - Using Game Engine for Visualization in Architectural & Construction Education. - Utkarsh Gupta, Hessam Mahdavifar:
A New Algebraic Approach for String Reconstruction from Substring Compositions. - Tomer Laor, Naif Mehanna, Antonin Durey, Vitaly Dyadyuk, Pierre Laperdrix, Clémentine Maurice, Yossi Oren, Romain Rouvoy, Walter Rudametkin, Yuval Yarom:
DRAWNAPART: A Device Identification Technique based on Remote GPU Fingerprinting. - Pedro Valdeira, Cláudia Soares, João Xavier:
Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features. - Yahan Ke, Ruyi Qu, Xiaoxia Lu:
Classification Of Fake News Headline Based On Neural Networks. - Zilong Zhao, Jiyue Huang, Stefanie Roos, Lydia Y. Chen:
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. - Corinne Stucker, Bingxin Ke, Yuanwen Yue, Shengyu Huang, Iro Armeni, Konrad Schindler:
ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields. - Mikolaj Bojanczyk, Bartek Klin, Julian Salamanca:
Monadic Monadic Second Order Logic. - Ruyi Qu, Shukai Huang, Jiexuan Zhou, Chenxi Fan, Zhiyuan Yan:
The Vehicle Trajectory Prediction Based on ResNet and EfficientNet Model. - Zachary Eberhart, Collin McMillan:
Generating Clarifying Questions for Query Refinement in Source Code Search. - Jihong Zhu, Michael Gienger, Jens Kober:
Learning Task-Parameterized Skills from Few Demonstrations. - Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil D. Dutt, Amir M. Rahmani:
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. - Aleksandr Shkoruta, Bumsoo Park, Sandipan Mishra:
An empirical model for feedforward control of laser powder bed fusion. - Weihong Zhang, Shengqi Feng:
Combined parameterization of material distribution and surface mesh for stiffener layout optimization of complex surfaces. - Ali Bereyhi, Bruno Loureiro, Florent Krzakala, Ralf R. Müller, Hermann Schulz-Baldes:
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning. - Suchuan Dong, Jielin Yang:
Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks. - Piyush Gupta, Vaibhav Srivastava:
Structural Properties of Optimal Fidelity Selection Policies for Human-in-the-loop Queues. - Dawn J. Lawrie, James Mayfield, Douglas W. Oard, Eugene Yang:
HC4: A New Suite of Test Collections for Ad Hoc CLIR. - Cash Costello, Eugene Yang, Dawn J. Lawrie, James Mayfield:
Patapasco: A Python Framework for Cross-Language Information Retrieval Experiments. - Timofey Atnashev, Veronika Ganeeva, Roman Kazakov, Daria Matyash, Michael Sonkin, Ekaterina Voloshina, Oleg Serikov, Ekaterina Artemova:
Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito". - Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer:
Neural Manifold Clustering and Embedding. - Ye Gao, Brian R. Baucom, Karen Rose, Kristina Gordon, Hongning Wang, John A. Stankovic:
The Enforced Transfer: A Novel Domain Adaptation Algorithm. - Hao Ma, Yang Sun, Mario Chiarelli:
Heat Conduction Plate Layout Optimization using Physics-driven Convolutional Neural Networks. - Charl Maree, Christian W. Omlin:
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization. - Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, Johannes Heidecke, Pranav Shyam, Boris Power, Tyna Eloundou Nekoul, Girish Sastry, Gretchen Krueger, David Schnurr, Felipe Petroski Such, Kenny Hsu, Madeleine Thompson, Tabarak Khan, Toki Sherbakov, Joanne Jang, Peter Welinder, Lilian Weng:
Text and Code Embeddings by Contrastive Pre-Training. - Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis Melissourgos:
Constant Inapproximability for PPA. - Noah Abou El Wafa, André Platzer:
First-Order Game Logic and Modal Mu-Calculus. - Reza Maalek, Shahrokh Maalek:
Automatic Recognition and Digital Documentation of Cultural Heritage Hemispherical Domes using Images. - Lei Lan, Danny M. Kaufman, Minchen Li, Chenfanfu Jiang, Yin Yang:
Affine Body Dynamics: Fast, Stable & Intersection-free Simulation of Stiff Materials. - Santhosh Kumar Ramakrishnan, Devendra Singh Chaplot, Ziad Al-Halah, Jitendra Malik, Kristen Grauman:
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. - Arian Ahmadi, Omid Semiari, Mehdi Bennis, Mérouane Debbah:
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks. - Dongrui Liu, Chuanchuan Chen, Changqing Xu, Robert C. Qiu, Lei Chu:
Self-supervised Point Cloud Registration with Deep Versatile Descriptors. - Bilge Acun, Benjamin Lee, Kiwan Maeng, Manoj Chakkaravarthy, Udit Gupta, David Brooks, Carole-Jean Wu:
A Holistic Approach for Designing Carbon Aware Datacenters. - Steve Huntsman:
Diversity Enhancement via Magnitude. - Likun Sui, Zihuai Lin, Pei Xiao, H. Vincent Poor, Branka Vucetic:
Performance Analysis of Multiple-Antenna Ambient Backscatter Systems at Finite Blocklengths. - (Withdrawn) Are Commercial Face Detection Models as Biased as Academic Models?
- Yuxuan Wang, Jinyao Xie, Jiongzhi Zheng, Kun He:
An Efficient Algorithm for the Partitioning Min-Max Weighted Matching Problem. - Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. - Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice:
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. - Zayd Hammoudeh, Daniel Lowd:
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation. - Arman Sharififar, Parastoo Sadeghi, Neda Aboutorab:
On the Optimality of Linear Index Coding over the Fields with Characteristic Three. - Mansooreh Montazerin, Soheil Zabihi, Elahe Rahimian, Arash Mohammadi, Farnoosh Naderkhani:
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals. - Sean Hon, Stefano Serra-Capizzano:
A sine transform based preconditioned MINRES method for all-at-once systems from evolutionary partial differential equations. - Angelina McMillan-Major, Zaid Alyafeai, Stella Biderman, Kimbo Chen, Francesco De Toni, Gérard Dupont, Hady Elsahar, Chris Emezue, Alham Fikri Aji, Suzana Ilic, Nurulaqilla Khamis, Colin Leong, Maraim Masoud, Aitor Soroa, Pedro Javier Ortiz Suárez, Zeerak Talat, Daniel van Strien, Yacine Jernite:
Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources. - Daokun Zhang, Jie Yin, Philip S. Yu:
Link Prediction with Contextualized Self-Supervision. - Yihuan Mao, Chao Wang, Bin Wang, Chongjie Zhang:
MOORe: Model-based Offline-to-Online Reinforcement Learning. - Thuong Nguyen:
Adaptive Central-Upwind Scheme on Triangular Grids for the Shallow Water Model with variable density. - Simon Niklaus, Ping Hu, Jiawen Chen:
Splatting-based Synthesis for Video Frame Interpolation. - Jianwei Xu, Ran Zhao, Yizhou Yu, Qingwei Zhang, Xianzhang Bian, Jun Wang, Zhizheng Ge, Dahong Qian:
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit. - Blake Wulfe, Ashwin Balakrishna, Logan Ellis, Jean Mercat, Rowan McAllister, Adrien Gaidon:
Dynamics-Aware Comparison of Learned Reward Functions. - Dorsa Fathollahi, Marco Mondelli:
Polar Coded Computing: The Role of the Scaling Exponent. - Xiangyu He, Jian Cheng:
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond. - Andrew Sosanya, Sam Greydanus:
Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately. - Quan-Lin Li, Yan-Xia Chang, Chi Zhang:
Tree Representation, Growth Rate of Blockchain and Reward Allocation in Ethereum with Multiple Mining Pools. - Mamdouh Alenezi:
Investigating Software Testability and Test cases Effectiveness. - Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. - Geet Sethi, Bilge Acun, Niket Agarwal, Christos Kozyrakis, Caroline Trippel, Carole-Jean Wu:
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation. - Pavel B. Dubovski, Jeffrey A. Slepoi:
Substitution Method for Fractional Differential Equations. - Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, H. Vincent Poor, Lingyang Song:
Towards Ubiquitous Sensing and Localization With Reconfigurable Intelligent Surfaces. - Md Ferdous Wahid, Md. Fahim Shahriar, Md. Shohanur Islam Sobuj:
A Classical Approach to Handcrafted Feature Extraction Techniques for Bangla Handwritten Digit Recognition. - Ziao Wang, Ning Zhang, Weina Wang, Lele Wang:
On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment. - Quan Nguyen Minh, Bang Le Van, Can Nguyen, Anh Le, Viet Dung Nguyen:
ARPD: Anchor-free Rotation-aware People Detection using Topview Fisheye Camera. - Huizi Wu, Shiyi Wang, Hui Fang:
LP-UIT: A Multimodal Framework for Link Prediction in Social Networks. - Binwei Wu, Shuo Wang, Jiasen Wang, Weiqian Tan, Yunjie Liu:
Flexible Design on Deterministic IP Networking for Mixed Traffic Transmission. - Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. - Weiqian Tan, Binwei Wu, Shuo Wang, Tao Huang:
Large-scale Deterministic Transmission among IEEE 802.1Qbv Time-Sensitive Networks. - Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang:
Two heads are better than one: Enhancing medical representations by pre-training over structured and unstructured electronic health records. - Zhe Lin, Zike Yuan, Jieru Zhao, Wei Zhang, Hui Wang, Yonghong Tian:
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs. - Ibrahim Suat Evren, Praneeth Vepakomma, Ramesh Raskar:
The Privacy-Welfare Trade-off: Effects of Differential Privacy on Influence & Welfare in Social Choice. - Janosch Rieger:
Generalized Gearhart-Koshy acceleration for the Kaczmarz method. - V. J. Dowling, Valeriy A. Slipko, Yuriy V. Pershin:
Analytic and SPICE modeling of stochastic ReRAM circuits. - Yongxu Jin, Yushan Han, Zhenglin Geng, Joseph Teran, Ronald Fedkiw:
Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks. - Kyohei Shimozato, Michihiro Shintani, Takashi Sato:
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression. - Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar:
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. - Chen Cai, Yusu Wang:
Convergence of Invariant Graph Networks. - Haohan Guo, Zhiping Zhou, Fanbo Meng, Kai Liu:
Improving Adversarial Waveform Generation based Singing Voice Conversion with Harmonic Signals. - Md. Nadim, Debajyoti Mondal, Chanchal K. Roy:
Leveraging Structural Properties of Source Code Graphs for Just-In-Time Bug Prediction. - Soumitri Chattopadhyay, Siladittya Manna, Saumik Bhattacharya, Umapada Pal:
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification. - Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong:
Almost Optimal Variance-Constrained Best Arm Identification. - Ziheng Chen, Xiao-Jun Wu, Tianyang Xu, Rui Wang, Zhiwu Huang, Josef Kittler:
MSNet: A Deep Multi-scale Submanifold Network for Visual Classification. - Dongyu Rao, Xiao-Jun Wu, Tianyang Xu:
TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network. - Satoko Ito, Ruck Thawonmas, Pujana Paliyawan:
Toward a Minecraft Mod for Early Detection of Alzheimer's Disease in Young Adults. - Hongyu Song, Jincheng Yu, Jiantao Qiu, Zhixiao Sun, Kuijun Lang, Qing Luo, Yuan Shen, Yu Wang:
Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment. - Dongyu Rao, Xiao-Jun Wu, Tianyang Xu, Guo-Yang Chen:
Unsupervised Image Fusion Method based on Feature Mutual Mapping. - Jiang Zhang:
Neural Information Squeezer for Causal Emergence. - Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Data-driven Mutation Analysis for Cyber-Physical Systems. - Xin Jin, Ruoyu Feng, Simeng Sun, Runsen Feng, Tianyu He, Zhibo Chen:
Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks. - Kazuya Horibe, Yuanxiang Fan, Yutaka Nakamura, Hiroshi Ishiguro:
Investigating the impact of free energy based behavior on human in human-agent interaction. - Grigory Korolev, Aleksey Kureev, Evgeny M. Khorov, Andrey I. Lyakhov:
Enabling Synchronous Uplink NOMA in Wi-Fi Networks. - Sangmin Woo, Jinyoung Park, Inyong Koo, Sumin Lee, Minki Jeong, Changick Kim:
Explore and Match: End-to-End Video Grounding with Transformer. - Chih Wei Ling, Yanxiao Liu, Cheuk Ting Li:
Weighted Parity-Check Codes for Channels with State and Asymmetric Channels. - Zhi Wu, Dongheng Zhang, Chunyang Xie, Cong Yu, Jinbo Chen, Yang Hu, Yan Chen:
RFMask: A Simple Baseline for Human Silhouette Segmentation with Radio Signals. - Vittorio Fabris:
Flexible skylines, regret minimization and skyline ranking: a comparison to know how to select the right approach. - Rahul Goel, Modar Sulaiman, Kimia Noorbakhsh, Mahdi Sharifi, Rajesh Sharma, Pooyan Jamshidi, Kallol Roy:
Pre-Trained Language Transformers are Universal Image Classifiers. - Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen:
Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model. - Sumrit Gupta, Ushasi Chaudhuri, Biplab Banerjee:
Zero-Shot Sketch Based Image Retrieval using Graph Transformer. - Alessandro Carfì, Fulvio Mastrogiovanni:
Gesture-based Human-Machine Interaction: Taxonomy, Problem Definition, and Analysis. - Neha Baranwal, Sharatkumar Chilaka:
Improved Mispronunciation detection system using a hybrid CTC-ATT based approach for L2 English speakers. - Giacomo Ortali, Ioannis G. Tollis:
Computing Weak Dominance Drawings with Minimum Number of Fips. - Ibrahim Almuslimani:
A fully adaptive explicit stabilized integrator for advection-diffusion-reaction problems. - Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu:
Universal Generative Modeling for Calibration-free Parallel Mr Imaging. - Chunren Tang, Dingyu Xue, Dongyue Chen:
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification. - Parosh Aziz Abdulla, Mohamed Faouzi Atig, Raj Aryan Agarwal, Adwait Godbole, S. Krishna:
Probabilistic Total Store Ordering. - Federico Fatone, Stefania Fresca, Andrea Manzoni:
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models. - Jaime Pons Garrido:
Poisson's CDF applied to Flexible Skylines. - Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà:
Explanatory Learning: Beyond Empiricism in Neural Networks. - Etienne Brangbour, Pierrick Bruneau, Thomas Tamisier, Stéphane Marchand-Maillet:
Cold Start Active Learning Strategies in the Context of Imbalanced Classification. - Jörg Liesen, Mohamed M. S. Nasser, Olivier Sète:
Computing the logarithmic capacity of compact sets having (infinitely) many components with the Charge Simulation Method. - Claudio De Persis, Monica Rotulo, Pietro Tesi:
Learning Controllers from Data via Approximate Nonlinearity Cancellation. - Ya-nan Han, Jianwei Liu, Bing-biao Xiao, Xin-Tan Wang, Xionglin Luo:
Bilevel Online Deep Learning in Non-stationary Environment. - Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xionglin Luo:
GMM Discriminant Analysis with Noisy Label for Each Class. - Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor:
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. - Xiaoyu Wang, Mikael Johansson:
On Uniform Boundedness Properties of SGD and its Momentum Variants. - Ruochen Tai, Liyong Lin, Rong Su:
Identification of System Vulnerability under a Smart Sensor Attack via Attack Model Reduction. - Prabhat Kumar:
HoneyTop90: A 90-line MATLAB code for topology optimization using honeycomb tessellation. - Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Diversity in the Music Listening Experience: Insights from Focus Group Interviews. - Adeel Malik, Berksan Serbetci, Petros Elia:
Coded Caching in Networks with Heterogeneous User Activity. - Mohamed Ali Souibgui, Sanket Biswas, Sana Khamekhem Jemni, Yousri Kessentini, Alicia Fornés, Josep Lladós, Umapada Pal:
DocEnTr: An End-to-End Document Image Enhancement Transformer. - Jian Feng, Haoyuan Pan, Tse-Tin Chan, Jiaxin Liang:
Timely Status Update: Should ARQ be Used in Two-Hop Networks? - Patrick Rüdiger, Felix Claus, Viktor Leonhardt, Hans Hagen, Jan C. Aurich, Christoph Garth:
PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control. - Ziyang Lu, Yiwei Zhang:
t-Deletion-1-Insertion-Burst Correcting Codes. - Maël Jullien, Marco Valentino, André Freitas:
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language. - Mohan Sridharan, Tiago Mota:
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics. - Udi Boker, Karoliina Lehtinen, Salomon Sickert:
On the Translation of Automata to Linear Temporal Logic. - Yunpeng Ma, Andreas Kassler, Bestoun S. Ahmed, Pavel Krakhmalev, Andreas Thore, Arash Toyser, Hans Lindback:
Using Deep Reinforcement Learning for Zero Defect Smart Forging. - Rocsildes Canoy, Victor Bucarey, Yves Molenbruch, Maxime Mulamba, Jayanta Mandi, Tias Guns:
Probability estimation and structured output prediction for learning preferences in last mile delivery. - Pranav Jeevan, Amit Sethi:
Convolutional Xformers for Vision. - Yilong Wang, Zhenyu Li, Daofu Gong, Haoyu Lu, Fenlin Liu:
Image Fragile Watermarking Algorithm Based on Deneighborhood Mapping. - Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He:
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis. - Guy Andre Boy:
Aerospace Human System Integration Evolution over the Last 40 Years. - Jin Huang, Jantien E. Stoter, Ravi Peters, Liangliang Nan:
City3D: Large-scale Urban Reconstruction from Airborne Point Clouds. - David Monniaux, Sylvain Boulmé:
The Trusted Computing Base of the CompCert Verified Compiler. - Maria López-Sánchez, Alejandro Villena-Rodríguez, Gerardo Gómez, Francisco Javier Martin-Vega, M. Carmen Aguayo-Torres:
Latency Fairness Optimization on Wireless Networks through Deep Reinforcement Learning. - Jee-weon Jung, Hemlata Tak, Hye-jin Shim, Hee-Soo Heo, Bong-Jin Lee, Soo-Whan Chung, Hong-Goo Kang, Ha-Jin Yu, Nicholas W. D. Evans, Tomi Kinnunen:
SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan. - Abdoulaye Koroko, Ani Anciaux-Sedrakian, Ibtihel Ben Gharbia, Valérie Garès, Mounir Haddou, Quang-Huy Tran:
Efficient Approximations of the Fisher Matrix in Neural Networks using Kronecker Product Singular Value Decomposition. - Zhixuan Yang, Marco Paviotti, Nicolas Wu, Birthe van den Berg, Tom Schrijvers:
Structured Handling of Scoped Effects: Extended Version. - Juan Julián Merelo, Pedro A. Castillo, Antonio Miguel Mora, Francisco Barranco, Noorhan Abbas, Alberto Guillén, Olia E. Tsivitanidou:
Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective. - Tailin Niu, Kangquan Li, Longjiang Qu, Chao Li:
Characterizations and constructions of n-to-1 mappings over finite fields. - Gianluca Ceruti, Christian Lubich, Dominik Sulz:
Rank-adaptive time integration of tree tensor networks. - Sebastian Bordt, Michèle Finck, Eric Raidl, Ulrike von Luxburg:
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts. - David M. Cerna:
A Special Case of Schematic Syntactic Unification. - Jia Cui, Jiang Pan, Shunjiang Wang, Martin Onyeka Okoye, Junyou Yang, Yang Li, Hao Wang:
Improved normal-boundary intersection algorithm: a method for energy optimization strategy in smart buildings. - Mathias Niemann Tygesen, Francisco C. Pereira, Filipe Rodrigues:
Unboxing the graph: Neural Relational Inference for Mobility Prediction. - André Teófilo Beck:
Optimal design of redundant structural systems: fundamentals. - Zhaohao Wang, Huifang Yue:
Comparison research on binary relations based on transitive degrees and cluster degrees. - Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann:
Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem. - Hamza Bodor, Thai V. Hoang, Zonghua Zhang:
Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection. - Xingguang Yan, Liqiang Lin, Niloy J. Mitra, Dani Lischinski, Danny Cohen-Or, Hui Huang:
ShapeFormer: Transformer-based Shape Completion via Sparse Representation. - Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou:
ML4CO-KIDA: Knowledge Inheritance in Data Aggregation. - Michael Beukman, Steven James, Christopher W. Cleghorn:
Towards Objective Metrics for Procedurally Generated Video Game Levels. - Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer:
Tracking and Planning with Spatial World Models. - Sixian Wang, Ke Yang, Jincheng Dai, Kai Niu:
Distributed Image Transmission using Deep Joint Source-Channel Coding. - Seema Sangari, Eric Dallal:
Correcting for Reporting Delays in Cyber Incidents. - Vipin Kumar Kukkala, Sooryaa Vignesh Thiruloga, Sudeep Pasricha:
Roadmap for Cybersecurity in Autonomous Vehicles. - Renan Gross:
Noise sensitivity from fractional query algorithms and the axis-aligned Laplacian. - Stefan Vamosi, Michael Platzer, Thomas Reutterer:
AI-based Re-identification of Behavioral Clickstream Data. - Kaiwen Tan, Weixian Huang, Xiaofeng Liu, Jinlong Hu, Shoubin Dong:
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction. - Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda:
Neural Architecture Search for Spiking Neural Networks. - Essam A. Rashed, Sachiko Kodera, Akimasa Hirata:
COVID-19 Status Forecasting Using New Viral variants and Vaccination Effectiveness Models. - Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci:
Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks. - Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck:
Neural network-based, structure-preserving entropy closures for the Boltzmann moment system. - Daniel Davila, Joseph VanPelt, Alexander Lynch, Adam Romlein, Peter W. Webley, Matthew S. Brown:
ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI. - Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg:
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. - Johan Mazel, Matthieu Saudrais, Antoine Hervieu:
ML-based tunnel detection and tunneled application classification. - Shahbaz Khan, Milla Kortelainen, Manuel Cáceres, Lucia Williams, Alexandru I. Tomescu:
Safety and Completeness in Flow Decompositions for RNA Assembly. - Philipp Diercks, Karen Veroy, Annika Robens-Radermacher, Jörg F. Unger:
Multiscale modeling of linear elastic heterogeneous structures based on a localized model order reduction approach. - Shijia Guo, Kenny Q. Zhu:
Modeling Multi-level Context for Informational Bias Detection by Contrastive Learning and Sentential Graph Network. - Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti:
Public Information Representation for Adversarial Team Games. - Renjie Gu, Chaoyue Niu, Yikai Yan, Fan Wu, Shaojie Tang, Rongfeng Jia, Chengfei Lyu, Guihai Chen:
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems. - Neel Karia, Faraaz Mallick, Palash Dey:
How Hard is Safe Bribery? - Ali Ismail, Mariette Awad:
BLDNet: A Semi-supervised Change Detection Building Damage Framework using Graph Convolutional Networks and Urban Domain Knowledge. - Doganay Sirintuna, Alberto Giammarino, Arash Ajoudani:
Human-Robot Collaborative Carrying of Objects with Unknown Deformation Characteristics. - Bojan Jerbic, Marko Svaco, Filip Suligoj, Bojan Sekoranja, Josip Vidakovic, Marija Turkovic, Mihaela Lekic, Borjan Pavlek, Bruno Bolfan, Davor Bruketa, Dina Borosic, Barbara Busic:
Interspecies Collaboration in the Design of Visual Identity: A Case Study. - Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara:
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition. - Ali Ismail, Mariette Awad:
Towards Cross-Disaster Building Damage Assessment with Graph Convolutional Networks. - Wei Guo, Jing-Mei Qiu:
A conservative low rank tensor method for the Vlasov dynamics. - Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun Thapa, Pan Li:
Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties. - Tomás Pippia, Valentin Preda, Samir Bennani, Tamás Keviczky:
Reconfiguration of a satellite constellation in circular formation orbit with decentralized model predictive control. - Eric Lanfer, Thomas Hänel, Roland van Rijswijk-Deij, Nils Aschenbruck:
Improving Proximity Estimation for Contact Tracing using a Multi-channel Approach. - Nicolas Tempelmeier, Elena Demidova:
Attention-Based Vandalism Detection in OpenStreetMap. - Naqib Zarin, Dirk van Bokkem, Justin Segond, Stefanie Roos:
A Sybil-Resistant and Decentralized Market Place. - Ira Globus-Harris, Michael Kearns, Aaron Roth:
Beyond the Frontier: Fairness Without Accuracy Loss. - Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand:
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. - Sven Koehler, Lalith Sharan, Julian Kuhm, Arman Ghanaat, Jelizaveta Gordejeva, Nike K. Simon, Niko M. Grell, Florian André, Sandy Engelhardt:
Comparison of Evaluation Metrics for Landmark Detection in CMR Images. - Marjorie McShane, Ivan Leon:
Language Generation for Broad-Coverage, Explainable Cognitive Systems. - Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona:
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. - Luis F. Abanto-Leon, Matthias Hollick, Bruno Clerckx, Gek Hong Sim:
Sequential Parametric Optimization for Rate-Splitting Precoding in Non-Orthogonal Unicast and Multicast Transmissions. - Amal AlQahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, Mona T. Diab:
A Quantitative and Qualitative Analysis of Schizophrenia Language. - Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer:
Main Product Detection with Graph Networks for Fashion. - A. R. Balasubramanian, Lucie Guillou, Chana Weil-Kennedy:
Parameterized Analysis of Reconfigurable Broadcast Networks (Long Version). - Sheng Zhong, Nima Fazeli, Dmitry Berenson:
Soft Tracking Using Contacts for Cluttered Objects to Perform Blind Object Retrieval. - Harald Rueß, Simon Burton:
Safe AI - How is this Possible? - Dmitriy Serdyuk, Otavio Braga, Olivier Siohan:
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition. - Joydev Halder, Suman Kumar Tumuluri:
A numerical scheme for a diffusion equation with nonlocal nonlinear boundary condition. - David A. Vargas, Robert D. Falgout, Stefanie Günther, Jacob B. Schroder:
Toward Parallel in Time for Chaotic Dynamical Systems. - Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, Jia Zou:
Serving Deep Learning Models with Deduplication from Relational Databases. - Giacomo Maletto, Luca Roversi:
Certifying algorithms and relevant properties of Reversible Primitive Permutations with Lean. - Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim:
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning. - Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. - Daniel Kigli, Ariel Shamir, Shai Avidan:
How Low Can We Go? Pixel Annotation for Semantic Segmentation. - Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki:
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. - Dan R. Ghica, George Kaye, David Sprunger:
Full abstraction for digital circuits. - Lyle Regenwetter, Colin Weaver, Faez Ahmed:
FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames. - Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Conditional entropy minimization principle for learning domain invariant representation features. - Alexander S. Nesterov, Dmitry Umerenkov:
Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality. - Ravi Kant, Gaurav Saha, Arjun Kumar:
In-Pipe Robot. - Albrecht Kurze, Andreas Bischof:
Wicked Implications for Human Interaction with IoT Sensor Data. - Yongqi Tian, Xueyuan Gong, Jialin Tang, Binghua Su, Xiaoxiang Liu, Xinyuan Zhang:
GIU-GANs: Global Information Utilization for Generative Adversarial Networks. - Jean-Marc Robert, Pascal Véron:
Faster multiplication over F2[X] using AVX512 instruction set and VPCLMULQDQ instruction. - Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith:
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. - Stein K. F. Stoter, Thi-Hoa Nguyen, René R. Hiemstra, Dominik Schillinger:
Variationally consistent mass scaling for explicit time-integration schemes of lower- and higher-order finite element methods. - Yawen Wang, Daniel Crankshaw, Neeraja J. Yadwadkar, Daniel S. Berger, Christos Kozyrakis, Ricardo Bianchini:
SOL: Safe On-Node Learning in Cloud Platforms. - Georgios Piliouras, Fang-Yi Yu:
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos. - Albrecht Kurze:
Scented Dice: New interaction qualities for ideating connected devices. - Jana Wagemaker, Nate Foster, Tobias Kappé, Dexter Kozen, Jurriaan Rot, Alexandra Silva:
Concurrent NetKAT: Modeling and analyzing stateful, concurrent networks. - Alireza Famili, Angelos Stavrou, Haining Wang, Jung-Min Jerry Park:
PILOT: High-Precision Indoor Localization for Autonomous Drones. - Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. - Albrecht Kurze, Arne Berger:
Playing The Ethics Card: Ethical Aspects In Design Tools For Inspiration And Education. - Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich:
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization. - Abdelwahab Boualouache, Thomas Engel:
A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks. - Tarik Dzanic, Freddie D. Witherden:
Positivity-Preserving Entropy-Based Adaptive Filtering for Discontinuous Spectral Element Methods. - Subhash Lakshminarayana, Juan Ospina, Charalambos Konstantinou:
Load-Altering Attacks under COVID-19 Low-Inertia Conditions. - Hossein Rastgoftar:
Real-Time Deployment of a Large-Scale Multi-Quadcopter System (MQS). - Christof Beierle, Claude Carlet:
Gold Functions Are Not 0-Extendable in Dimension n>5. - Asma Abdulsalam, Areej Alhothali:
Suicidal Ideation Detection on Social Media: A Review of Machine Learning Methods. - João Araújo, Choiwah Chow, Mikolás Janota:
Boosting Isomorphic Model Filtering with Invariants. - Moustafa Gharamti, Maciej Jarema, Samuel Kirwin-Jones:
DFORMPY: A Python Library for visualising and zooming on differential forms. - Francisco Andrades, Ricardo Ñanculef:
A Method to Predict Semantic Relations on Artificial Intelligence Papers. - Kaiqi Zhao, Animesh Jain, Ming Zhao:
Adaptive Activation-based Structured Pruning. - Fangyuan Zhu:
A Review of Deep Learning Based Image Super-resolution Techniques. - Zhengrong Xue:
Blind Image Deblurring: a Review. - Thomas Y. Chen:
Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery. - Thomas Y. Chen:
MonarchNet: Differentiating Monarch Butterflies from Butterflies Species with Similar Phenotypes. - Gustavo Assis da Silva, Eduardo Lenz Cardoso, André Teófilo Beck:
Comparison of robust, reliability-based and non-probabilistic topology optimization under uncertain loads and stress constraints. - Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam:
Explainability in Music Recommender Systems. - Gourav Takhar, Ramesh Karri, Christian Pilato, Subhajit Roy:
HOLL: Program Synthesis for Higher OrderLogic Locking. - Yinghui Ye, Liqin Shi, Xiaoli Chu, Guangyue Lu, Sumei Sun:
Impacts of Hardware Impairments on Mutualistic Cooperative Ambient Backscatter Communications. - Mariel A. Werner, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan:
Online Active Learning with Dynamic Marginal Gain Thresholding. - Fathima Rushda Balabaskaran, Annabel Jones-Gammon, Rebecca How, Jennifer Cole:
Online discussion forums for monitoring the need for targeted psychological health support: an observational case study of r/COVID19_support. - Taylor Olson, Kenneth D. Forbus:
Learning Norms via Natural Language Teachings. - Yuri Gil Dantas, Vivek Nigam:
Automating Safety and Security Co-Design through Semantically-Rich Architectural Patterns. - Elizabath Peter, K. K. Krishnan Namboodiri, B. Sundar Rajan:
Shared Cache Coded Caching Schemes with known User-to-Cache Association Profile using Placement Delivery Arrays. - Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork:
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. - K. K. Krishnan Namboodiri, Elizabath Peter, B. Sundar Rajan:
Extended Placement Delivery Arrays for Multi-Antenna Coded Caching Scheme. - Jingyan Zhou, Xiaohan Feng, King Keung Wu, Helen Meng:
Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding. - Huy Tu, Tim Menzies:
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning. - Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
The Unexplored Terrain of Compiler Warnings. - Richard Archibald, Feng Bao:
A Kernel Learning Method for Backward SDE Filter. - Javier Tirado, Javier Civera:
Jacobian Computation for Cumulative B-splines on SE(3) and Application to Continuous-Time Object Tracking. - Martin Georgiev, Simon Eberz, Henry Turner, Giulio Lovisotto, Ivan Martinovic:
Common Evaluation Pitfalls in Touch-Based Authentication Systems. - Xiang Deng, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Huan Sun:
DOM-LM: Learning Generalizable Representations for HTML Documents. - Jun Qi, Javier Tejedor:
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition. - Zhenyu Zhao, Yan He, Miao Chen:
Inform Product Change through Experimentation with Data-Driven Behavioral Segmentation. - Samira Zad, Joshuan Jimenez, Mark A. Finlayson:
The ABBE Corpus: Animate Beings Being Emotional. - Isobel E. Seabrook, Paolo Barucca, Fabio Caccioli:
Structural importance and evolution: an application to financial transaction networks. - Hozan K. Hamarashid, Soran A. M. Saeed, Tarik A. Rashid:
A comprehensive review and evaluation on text predictive and entertainment systems. - Alen Arslanagic, Pavle Subotic, Jorge A. Pérez:
Scalable Typestate Analysis using Bit-Vector Machines. - Eleni Stai, Evangelia Kokolaki, Lesia Mitridati, Petros Tatoulis, Ioannis Stavrakakis, Gabriela Hug:
Game-Theoretic Energy Source Allocation Mechanism in Smart-Grids. - Komal Dhull, Steven Jecmen, Pravesh Kothari, Nihar B. Shah:
The Price of Strategyproofing Peer Assessment. - Nick Mertin, K. Ritsuka, Karen Rudie:
A Framework for the High-Level Specification and Verification of Synchronous Digital Logic Systems. - Isabel M. Rayas Fernández, Christopher E. Denniston, David A. Caron, Gaurav S. Sukhatme:
Adaptive Sampling to Estimate Quantiles for Guiding Physical Sampling. - Lesia Mitridati, Emma Romei, Gabriela Hug, Ferdinando Fioretto:
Differentially-Private Heat and Electricity Markets Coordination. - Bo Fu, Tribhi Kathuria, Denise M. Rizzo, Matthew P. Castanier, X. Jessie Yang, Maani Ghaffari, Kira Barton:
Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty. - Yuan Gao, Chengzhi Yuan, Yan Gu:
Invariant Filtering for Legged Humanoid Locomotion on Dynamic Rigid Surfaces. - Brett W. Larsen, Tamara G. Kolda:
Sketching Matrix Least Squares via Leverage Scores Estimates. - Kanghun Cho, Imbunm Kim, Raehyun Kim, Dongwoo Sheen:
Algebraic Multiscale Method for two-dimensional elliptic problems. - Matthew L. Malloy, Lance Hartung, Steve Wangen, Suman Banerjee:
Network-Side Digital Contact Tracing on a Large University Campus. - Toan-Van Nguyen, Thien Huynh-The, Van-Dinh Nguyen, Daniel Benevides da Costa, Rose Qingyang Hu, Beongku An:
An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks. - Margaret Burnett, Martin Erwig, Abrar Fallatah, Christopher Bogart, Anita Sarma:
Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction. - Kanghun Cho, Roktaek Lim, Dongwoo Sheen:
Algebraic Multiscale Method for one-dimensional elliptic problems. - Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato:
Coded Caching with Heterogeneous User Profiles. - Han Liu, Yubo Fan, Can Cui, Dingjie Su, Andrew McNeil, Benoit M. Dawant:
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion. - Dimitrios Sinodinos, Narges Armanfard:
Attentive Task Interaction Network for Multi-Task Learning. - José G. M. Esgario, Renato A. Krohling:
Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data. - Kanghun Cho, Dongwoo Sheen:
Simple quadrature rules for a nonparametric nonconforming quadrilateral element. - Peixi Xiong, Quanzeng You, Pei Yu, Zicheng Liu, Ying Wu:
SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering. - Dilara Keküllüoglu, Walid Magdy, Kami Vaniea:
From an Authentication Question to a Public Social Event: Characterizing Birthday Sharing on Twitter. - Peixi Xiong, Yilin Shen, Hongxia Jin:
MGA-VQA: Multi-Granularity Alignment for Visual Question Answering. - Jaeryun Yim, Dongwoo Sheen:
P1-Nonconforming Quadrilateral Finite Element Space with Periodic Boundary Conditions: Part I. Fundamental results on dimensions, bases, solvers, and error analysis. - Sergio González Andrade, Paul E. Méndez Silva:
A Discontinuous Galerkin and Semismooth Newton Approach for the Numerical Solution of the Nonhomogeneous Bingham Flow. - Jaeryun Yim, Dongwoo Sheen, Imbo Sim:
P1-Nonconforming Quadrilateral Finite Element Space with Periodic Boundary Conditions: Part II. Application to the Nonconforming Heterogeneous Multiscale Method. - Benedikt Ahrens, Paige Randall North, Niels van der Weide:
Semantics for two-dimensional type theory. - Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix:
Do Neural Networks for Segmentation Understand Insideness? - Adrian Leo Hagström, Rustam Stanikzai, Josef Bigün, Fernando Alonso-Fernandez:
Writer Recognition Using Off-line Handwritten Single Block Characters. - Nathaniel Dennler, Changxiao Ruan, Jessica Hadiwijoyo, Brenna Chen, Stefanos Nikolaidis, Maja J. Mataric:
Using Design Metaphors to Understand User Expectations of Socially Interactive Robot Embodiments. - Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Virtual Adversarial Training for Semi-supervised Breast Mass Classification. - Caleb Malchik, Joan Feigenbaum:
From Data Leverage to Data Co-Ops: An Institutional Model for User Control over Information Access. - Aida Rahmattalabi, Alice Xiang:
Promises and Challenges of Causality for Ethical Machine Learning. - Robert A. Baston, Yuji Nakatsukasa:
Stochastic diagonal estimation: probabilistic bounds and an improved algorithm. - M. M. Rashid, Rupal Roy, Md. Manjurul Ahsan, Zahed Siddique:
Design and Development of an Autonomous Surface Vehicle for Water Quality Monitoring. - Alireza Famili, Angelos Stavrou, Haining Wang, Jung-Min Park:
OPTILOD: Optimal Beacon Placement for High-Accuracy Indoor Localization of Drones. - Hongqiang Du, Lei Xie, Haizhou Li:
Noise-robust voice conversion with domain adversarial training. - Carlos Aliaga, Christophe Hery, Mengqi (Mandy) Xia:
Estimation of Spectral Biophysical Skin Properties from Captured RGB Albedo. - Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Björn Stenger, Ming-Hsuan Yang, Hongdong Li:
Deep Image Deblurring: A Survey. - Hanqiu Deng, Xingyu Li:
Anomaly Detection via Reverse Distillation from One-Class Embedding. - Hoijoon Jung, Younhyun Jung, Michael J. Fulham, Jinman Kim:
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization. - Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin:
Learning to Recommend Method Names with Global Context. - Xin Sun, Tao Ge, Shuming Ma, Jingjing Li, Furu Wei, Houfeng Wang:
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model. - Léia Sousa de Sousa, André Costa Drummond:
Metropolitan Optical Networks: A Survey on New Architectures and Future Trends. - Aksheshkumar Ajaykumar Shah, Hemanth Venkateswara:
Sparsity Regularization For Cold-Start Recommendation. - Shyam Venkatasubramanian, Chayut Wongkamthong, Mohammadreza Soltani, Bosung Kang, Sandeep Gogineni, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh:
Toward Data-Driven STAP Radar. - Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi:
Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning. - Lu Dong, Zhiqiang Guo, Chao-Hong Tan, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling:
Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models. - Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park, Sung-Jea Ko, Yong-Goo Shin:
Image Generation with Self Pixel-wise Normalization. - Yun-Hao Cao, Hao Yu, Jianxin Wu:
Training Vision Transformers with Only 2040 Images. - Chengcheng Ma, Xingjia Pan, Qixiang Ye, Fan Tang, Yunhang Shen, Ke Yan, Changsheng Xu:
Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection. - Zhancheng Zhang, Yuanhao Gao, Mengyu Xiong, Xiaoqing Luo, Xiaojun Wu:
A Joint Convolution Auto-encoder Network for Infrared and Visible Image Fusion. - Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. - Xiaoqing Luo, Yuting Jiang, Anqi Wang, Zhancheng Zhang, Xiaojun Wu:
Infrared and visible image fusion based on Multi-State Contextual Hidden Markov Model. - Zihao Sheng, Lin Liu, Shibei Xue, Dezong Zhao, Min Jiang, Dewei Li:
A Cooperation-Aware Lane Change Method for Autonomous Vehicles. - Xiaobin Xiong, Yuxiao Chen, Aaron D. Ames:
Robust Disturbance Rejection for Robotic Bipedal Walking: System-Level-Synthesis with Step-to-step Dynamics Approximation. - Junfa Lin, Siyuan Chen, Jiahai Wang:
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation. - Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch:
Phishing Attacks Detection - A Machine Learning-Based Approach. - Wangbo Yu, Jinhao Du, Ruixin Liu, Yixuan Li, Yuesheng Zhu:
Interactive Image Inpainting Using Semantic Guidance. - Jun Muramatsu:
On the Achievability of Interference Channel Coding. - Daniel Beaglehole:
An Efficient Approximation Algorithm for the Colonel Blotto Game. - Houpu Yao, Jiazhou Wang, Peng Dai, Liefeng Bo, Yanqing Chen:
An Efficient and Robust System for Vertically Federated Random Forest. - Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters. - Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi:
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. - Xuefeng Shen, Khoa Tran, Melvin Leok:
High-order symplectic Lie group methods on SO(n) using the polar decomposition. - Yongchan Kwon, Antonio Ginart, James Zou:
Competition over data: how does data purchase affect users? - Kenneth Michael Stewart, Emre Neftci:
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent. - Jian Li, Bin Zhang, Yabiao Wang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Jilin Li, Xiaoming Huang, Yili Xia:
ASFD: Automatic and Scalable Face Detector. - Cong Geng, Huizi Wu, Hui Fang:
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation. - Mostafa Goodarzi, Qifeng Li:
Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method. - Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani:
Variational Model Inversion Attacks. - Sinan Tan, Mengmeng Ge, Di Guo, Huaping Liu, Fuchun Sun:
Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation. - Zhao Yang, Wei Xi, Rui Wang, Rui Jiang, Jizhong Zhao:
Dual-Decoder Transformer For end-to-end Mandarin Chinese Speech Recognition with Pinyin and Character. - Sinan Tan, Hui Xue, Qiyu Ren, Huaping Liu, Jing Bai:
An Automated Question-Answering Framework Based on Evolution Algorithm. - Guangting Wang, Yucheng Zhao, Chuanxin Tang, Chong Luo, Wenjun Zeng:
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism. - Hon Tik Tse, Ho-fung Leung:
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning. - Anastasiia Tkalich, Nils Brede Moe, Rasmus Ulfsnes:
Making Internal Software Startups Work: How to Innovate Like a Venture Builder? - Philipp Körner, Michael Leuschel, João Barbosa, Vítor Santos Costa, Verónica Dahl, Manuel V. Hermenegildo, José F. Morales, Jan Wielemaker, Daniel Diaz, Salvador Abreu, Giovanni Ciatto:
50 Years of Prolog and Beyond. - Xin T. Tong, Matthias Morzfeld:
Localization in Ensemble Kalman inversion. - Md. Shirajum Munir, Seong-Bae Park, Choong Seon Hong:
An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery. - Sergio Amat, David Levin, Juan Ruiz-Álvarez, Dionisio F. Yáñez:
Global and explicit approximation of piecewise smooth 2D functions from cell-average data. - James C. A. Main, Mickael Randour:
Different strokes in randomised strategies: Revisiting Kuhn's theorem under finite-memory assumptions. - Yang Xu, Haibin Kan, Guangyue Han:
Fourier-Reflexive Partitions and Group of Linear Isometries with Respect to Weighted Poset Metric. - Haifan Yin, David Gesbert:
A Partial Channel Reciprocity-based Codebook for Wideband FDD Massive MIMO. - Zhiyu Chong, Xinzhu Ma, Hong Zhang, Yuxin Yue, Haojie Li, Zhihui Wang, Wanli Ouyang:
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection. - Reuben Binns:
Tracking on the Web, Mobile and the Internet-of-Things. - Alexander Barabanov, Denis Dergunov, Denis Makrushin, Aleksey Teplov:
Automatic detection of access control vulnerabilities via API specification processing. - Per Austrin, Kilian Risse:
Perfect Matching in Random Graphs is as Hard as Tseitin. - Arushi Goel, Yunlong Jiao, Jordan Massiah:
PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels. - John Chiang:
Privacy-Preserving Logistic Regression Training with a Faster Gradient Variant. - Hadi Sehat, Elena Pagnin, Daniel E. Lucani:
Bifrost: Secure, Scalable and Efficient File Sharing System Using Dual Deduplication. - Gregor Gantner, Rob P. Stevenson:
A well-posed First Order System Least Squares formulation of the instationary Stokes equations. - Lukas Burger, Lalith Sharan, Samantha Fischer, Julian Brand, Maximillian Hehl, Gabriele Romano, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt:
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements. - Juana Valeria Hurtado, Valentina Mejia:
Feminist Perspective on Robot Learning Processes. - Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina M.-C. Höhne:
Visualizing the diversity of representations learned by Bayesian neural networks. - Xingwen Peng, Xingchen Li, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao:
A deep learning method based on patchwise training for reconstructing temperature field. - Steffen Urban, Thomas Lindemeier, David Dobbelstein, Matthias Haenel:
On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad Generations. - Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan:
CodeRetriever: Unimodal and Bimodal Contrastive Learning. - Martin W. Hess, Annalisa Quaini, Gianluigi Rozza:
A Data-Driven Surrogate Modeling Approach for Time-Dependent Incompressible Navier-Stokes Equations with Dynamic Mode Decomposition and Manifold Interpolation. - Jiaqi Kang, Su Yang, Weishan Zhang:
TransPPG: Two-stream Transformer for Remote Heart Rate Estimate. - Facundo Molina, Marcelo d'Amorim, Nazareno Aguirre:
Fuzzing Class Specifications. - Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada:
S2NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Neural Networks. - Per Erik Solberg, Pablo Ortiz:
The Norwegian Parliamentary Speech Corpus. - Steffen Puhlmann, Jason Harris, Oliver Brock:
RBO Hand 3 - A Platform for Soft Dexterous Manipulation. - Daniel Cornel, Zsolt Horváth, Jürgen Waser:
An Attempt of Adaptive Heightfield Rendering with Complex Interpolants Using Ray Casting. - Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You:
One Student Knows All Experts Know: From Sparse to Dense. - Shinnosuke Takamichi, Wataru Nakata, Naoko Tanji, Hiroshi Saruwatari:
J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis. - Daxin Nie, Jing Sun, Weihua Deng:
Numerical Approximation for Stochastic Nonlinear Fractional Diffusion Equation Driven by Rough Noise. - Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo:
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. - (Withdrawn) Boomerang Spectra of Two Classes of Power Functions via Their Differential Spectra.
- Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay:
Improving robustness and calibration in ensembles with diversity regularization. - Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongeun Choi:
Behavior Tree-Based Asynchronous Task Planning for Multiple Mobile Robots using a Data Distribution Service. - Shuang Li, Xuming Hu, Li Lin, Lijie Wen:
Pair-Level Supervised Contrastive Learning for Natural Language Inference. - Fangfang Liu, Wanjie Tong, Zhengfen Sun, Caili Guo:
Task-Oriented Semantic Communication Systems Based on Extended Rate-Distortion Theory. - Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hoffman:
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control. - Binbin Liu, Jinlai Zhang, Lyujie Chen, Jihong Zhu:
Boosting 3D Adversarial Attacks with Attacking On Frequency. - Yiangos Georgiou, Melinos Averkiou, Tom Kelly, Evangelos Kalogerakis:
Projective Urban Texturing. - Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian:
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. - Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. - Kaiqi Zhao, Yitao Chen, Ming Zhao:
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer. - Hongruixuan Chen, Edoardo Nemni, Sofia Vallecorsa, Xi Li, Chen Wu, Lars Bromley:
Dual-Tasks Siamese Transformer Framework for Building Damage Assessment. - Diogo Marques, Rafael Campos, Sergio Santander-Jiménez, Zakhar Matveev, Leonel Sousa, Aleksandar Ilic:
Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study. - Yunus Inan, Mert Kayaalp, Emre Telatar, Ali H. Sayed:
Social Learning under Randomized Collaborations. - Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian:
Learning to Compose Diversified Prompts for Image Emotion Classification. - Pengpeng Shi, Zhi Zeng, Tianshou Liang:
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network. - Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu:
How Robust are Discriminatively Trained Zero-Shot Learning Models? - Tan Khang Le, Siu Cheung Hui:
Machine Learning for Food Review and Recommendation. - Xiaoxiao Xu, Chen Yang, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, Jingping Shao:
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework. - Venktesh V, Mukesh K. Mohania, Vikram Goyal:
Topic Aware Contextualized Embeddings for High Quality Phrase Extraction. - Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu:
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams. - Alexander Quevedo, Abraham Sánchez, Raul Nancláres, Diana P. Montoya, Juan Pacho, Jorge Martínez, Eduardo Ulises Moya-Sánchez:
Jalisco's multiclass land cover analysis and classification using a novel lightweight convnet with real-world multispectral and relief data. - Federico Bianchi, Vincenzo Cutrona, Dirk Hovy:
Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data. - Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani:
Learning To Recognize Procedural Activities with Distant Supervision. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu:
Moment Generating Function of Age of Information in Multi-Source M/G/1/1 Queueing Systems. - Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Michal Misiurewicz, Georgios Piliouras:
Unpredictable dynamics in congestion games: memory loss can prevent chaos. - Svyatoslav Gryaznov, Pavel Pudlák, Navid Talebanfard:
Linear Branching Programs and Directional Affine Extractors. - Zeeshan Lakhani, Ankush Das, Henry DeYoung, Andreia Mordido, Frank Pfenning:
Polarized Subtyping. - Bing Gao:
The Newton method for affine phase retrieval. - Hitoshi Kiya, AprilPyone MaungMaung, Yuma Kinoshita, Shoko Imaizumi, Sayaka Shiota:
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications. - Yoann Lemesle, Masataka Sawayama, Guillermo Valle Pérez, Maxime Adolphe, Hélène Sauzéon, Pierre-Yves Oudeyer:
Evaluating language-biased image classification based on semantic representations. - Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen:
Recency Dropout for Recurrent Recommender Systems. - G. K. den Nijs, J. Edivaldo, B. D. L. Chatel, Jeroen F. Uleman, Marcel G. M. Olde Rikkert, Heiman Wertheim, Rick Quax:
A global sharing mechanism of resources: modeling a crucial step in the fight against pandemics. - Bonan Ni, Pingzhong Tang:
Characterization of Incentive Compatibility of an Ex-Ante Constrained Player. - Mark Colley, Sebastian Pickl, Frank Uhlig, Enrico Rukzio:
Exploring the Social Context of Collaborative Driving. - Christin Katharina Kreutz, Krisztian Balog, Ralf Schenkel:
Diverse Reviewer Suggestion for Extending Conference Program Committees. - Giacomo Verardo, Daniel Barreira, Marco Chiesa, Dejan Kostic:
Fast Server Learning Rate Tuning for Coded Federated Dropout. - Pritam Choudhury, Harley Eades III, Stephanie Weirich:
A Dependent Dependency Calculus (Extended Version). - Christian Pehle, Sebastian Billaudelle, Benjamin Cramer, Jakob Kaiser, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Aron Leibfried, Eric Müller, Johannes Schemmel:
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity. - Grigory Malinovsky, Konstantin Mishchenko, Peter Richtárik:
Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization. - Anousheh Gholami, Kunal Rao, Wang-Pin Hsiung, Oliver Po, Murugan Sankaradas, Srimat Chakradhar:
ROMA: Resource Orchestration for Microservices-based 5G Applications. - Gaëtan Frusque, Olga Fink:
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms. - Wafa Labidi, Rami Ezzine, Christian Deppe, Holger Boche:
Common Randomness Generation from Gaussian Sources. - Manuel Portela, Carlos Castillo, Songül Tolan, Marzieh Karimi-Haghighi, Antonio Andrés-Pueyo:
A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment. - Jan Dreier, Jakub Gajarský, Sandra Kiefer, Michal Pilipczuk, Szymon Torunczyk:
Treelike decompositions for transductions of sparse graphs. - David Meredith:
Understanding and Compressing Music with Maximal Transformable Patterns. - Ellen M. Voorhees, Ian Soboroff, Jimmy Lin:
Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models? - Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez:
Momentum Capsule Networks. - Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-Attention Neural Bag-of-Features. - Svitlana Vakulenko, Johannes Kiesel, Maik Fröbe:
SCAI-QReCC Shared Task on Conversational Question Answering. - Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-attention fusion for audiovisual emotion recognition with incomplete data. - Qizhen Lan, Qing Tian:
Adaptive Instance Distillation for Object Detection in Autonomous Driving. - Konstantin Ditschuneit, Johannes S. Otterbach:
Auto-Compressing Subset Pruning for Semantic Image Segmentation. - Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter:
Combining optimal path search with task-dependent learning in a neural network. - Carey Shenkman, Dhanaraj Thakur, Emma Llansó:
Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis. - Richard Swartzbaugh, Amil Khanzada, Praveen Govindan, Mert Pilanci, Ayomide Owoyemi, Les Atlas, Hugo Estrada, Richard Nall, Michael Lotito, Rich Falcone, J. Jennifer Ranjani:
Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML). - Alexander Kott, Paul Théron:
Doers, not Watchers: Intelligent Autonomous Agents are a Path to Cyber Resilience. - Julia Lieb, Simran Tinani:
A Number Theoretic Approach to Cycles in LDPC Codes. - Jinjie Zhang, Yixuan Zhou, Rayan Saab:
Post-training Quantization for Neural Networks with Provable Guarantees. - Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. - Jan Drchal, Herbert Ullrich, Martin Rýpar, Hana Vincourová, Václav Moravec:
CsFEVER and CTKFacts: Czech Datasets for Fact Verification. - Stephanie Elisabeth Galaitsi, Benjamin D. Trump, Jeffrey M. Keisler, Igor Linkov, Alexander Kott:
Cybertrust: From Explainable to Actionable and Interpretable AI (AI2). - M. A. El-Dosuky, Gamal H. Eladl:
Using Hybrid Scheduling Algorithms for Solving Blockchain Allocation on Cloud. - Yamei Tu, Olga Li, Junpeng Wang, Han-Wei Shen, Przemek Powalko, Irina Tomescu-Dubrow, Kazimierz M. Slomczynski, Spyros Blanas, J. Craig Jenkins:
SQRQuerier: A Visual Querying Framework for Cross-national Survey Data Recycling. - Giuseppe Bruno De Luca, Eva Silverstein:
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization. - Xiao Xu, Marta D'Elia, Christian Glusa, John T. Foster:
Machine-learning of nonlocal kernels for anomalous subsurface transport from breakthrough curves. - Alexandre K. Ligo, Alexander Kott, Igor Linkov:
Autonomous Cyber Defense Introduces Risk: Can We Manage the Risk? - Yue Bi, Michèle A. Wigger, Philippe Ciblat, Yue Wu:
DoF of a Cooperative X-Channel with an Application to Distributed Computing. - Daniella Bar-Lev, Sagi Marcovich, Eitan Yaakobi, Yonatan Yehezkeally:
Adversarial Torn-paper Codes. - Alexander Kott, Maureen S. Golan, Benjamin D. Trump, Igor Linkov:
Cyber Resilience: by Design or by Intervention? - Alon Albalak, Sharon Levy, William Yang Wang:
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains. - Sergey A. Matveev, Stanislav S. Budzinskiy:
Sketching for low-rank nonnegative matrix approximation: a numerical study. - Ion Stagkos Efstathiadis, Guilherme Paulino-Passos, Francesca Toni:
Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit. - Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt:
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs. - Silas Richelson, Sourya Roy:
Analyzing Ta-Shma's Code via the Expander Mixing Lemma. - Hojjat Abdollahi, Mohammad H. Mahoor, Rohola Zandie, Jarid Siewierski, Sara H. Qualls:
Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study. - Tu Anh Dinh, Danni Liu, Jan Niehues:
Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques. - Wei Zhao, Michael Strube, Steffen Eger:
DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence. - Kastriot Kadriu:
Rapid solution for searching similar audio items. - Arthur Câmara, David Maxwell, Claudia Hauff:
Searching, Learning, and Subtopic Ordering: A Simulation-based Analysis. - Mariam Kiran, Buse Melis Özyildirim:
Hyperparameter Tuning for Deep Reinforcement Learning Applications. - Zhenan Fan, Huang Fang, Michael P. Friedlander:
A dual approach for federated learning. - Ashar Ali, Upal Mahbub, Gökçe Dane, Gerhard Reitmayr:
DIREG3D: DIrectly REGress 3D Hands from Multiple Cameras. - Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu:
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. - Arjun R. Akula, Song-Chun Zhu:
Attention cannot be an Explanation. - Sonja Kraiczy, Edith Elkind:
Explaining Preferences by Multiple Patterns in Voters' Behavior. - Eldon Schoop, Ben Wedin, Andrei Kapishnikov, Tolga Bolukbasi, Michael Terry:
IMACS: Image Model Attribution Comparison Summaries. - Peter Washington, Onur Cezmi Mutlu, Aaron Kline, Kelley M. Paskov, Nate Tyler Stockham, Brianna Sierra Chrisman, Nick Deveaux, Mourya Surhabi, Nick Haber, Dennis P. Wall:
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images. - Michael N. Sinner, Vlaho Petrovic, Lucy Y. Pao:
Implementation of Advanced Wind Turbine Controllers for Scaled Turbine Testing in a Wind Tunnel. - Andrei Stefan Nedelcu, Fabian Steiner, Gerhard Kramer:
Low-Resolution Precoding for Multi-Antenna Downlink Channels and OFDM. - Ruinan Jin, Yu Xing, Xingkang He:
On the Convergence of mSGD and AdaGrad for Stochastic Optimization. - Richard Nock, Mathieu Guillame-Bert:
Generative Trees: Adversarial and Copycat. - Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson:
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. - Piotr Zelasko, Siyuan Feng, Laureano Moro-Velázquez, Ali Abavisani, Saurabhchand Bhati, Odette Scharenborg, Mark Hasegawa-Johnson, Najim Dehak:
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition. - Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh:
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections. - Bazaru Priyatham Sai Chand:
Serverless Architecture for Bulk Email Management. - Sheng-Chun Kao, Xiaoyu Huang, Tushar Krishna:
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators. - Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna:
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. - Alejandro Díaz-Caro, Gilles Dowek:
Linear lambda-calculus is linear. - Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos:
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. - Franklin Mingzhe Li, Cheng Lu, Zhicong Lu, Patrick Carrington, Khai N. Truong:
An Exploration of Captioning Practices and Challenges of Individual Content Creators on YouTube for People with Hearing Impairments. - Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani:
Synchromesh: Reliable code generation from pre-trained language models. - Fernando Alonso-Fernandez, Josef Bigün:
Continuous Examination by Automatic Quiz Assessment Using Spiral Codes and Image Processing. - Salar Jafarlou, Jocelyn Lai, Zahra Mousavi, Sina Labbaf, Ramesh C. Jain, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani:
Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020. - Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. - Muhammad Umar Janjua, Saeed-Ul Hassan:
Assessment of Sustainable Funding Impact by Exploiting Research Performance Indicators and Semantic Techniques. - Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova:
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. - Christopher Tran, Elena Zheleva:
Heterogeneous Peer Effects in the Linear Threshold Model. - Afaf Taïk, Hajar Moudoud, Soumaya Cherkaoui:
Data-Quality Based Scheduling for Federated Edge Learning. - Afaf Taïk, Soumaya Cherkaoui:
Electrical Load Forecasting Using Edge Computing and Federated Learning. - Xinhang Li, Yong Zhang, Chunxiao Xing:
Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment. - Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-Symbolic Entropy Regularization. - Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin:
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. - Polina Guseva, Anastasia Drozdova, Natalia Denisenko, Daria Sapozhnikova, Ivan Pyaternev, Anna Scherbakova, Andrey Ustuzhanin:
Semantic Code Classification for Automated Machine Learning. - Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen:
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression. - Guoxiang Grayson Tong, David Kamensky, John A. Evans:
Skeleton-stabilized divergence-conforming B-spline discretizations for highly advective incompressible flow problems. - Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. - Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola:
Controlling Directions Orthogonal to a Classifier. - Roozbeh Yousefzadeh, Xuenan Cao:
To what extent should we trust AI models when they extrapolate? - Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui:
Clustered Vehicular Federated Learning: Process and Optimization. - Jessica Yao, Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya:
Wireless IoT Energy Sharing Platform. - Jiaohao Weng, Chao Zhang, Xi Yang, Haoran Xie:
Hierarchical Visual Interface for Lecture Video Retrieval and Summarization. - Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. - Zoubeir Mlika, Soumaya Cherkaoui:
Network slicing for vehicular communications: a multi-agent deep reinforcement learning approach. - Hamed Aslani, Davod Khojasteh Salkuyeh:
A block triangular preconditioner for a class of three-by-three block saddle point problems. - Zhengyu Huang, Haoran Xie, Tsukasa Fukusato:
Interactive 3D Character Modeling from 2D Orthogonal Drawings with Annotations. - Xusheng Du, Yi He, Xi Yang, Chia-Ming Chang, Haoran Xie:
Sketch-based 3D Shape Modeling from Sparse Point Clouds. - Ziruo Yi, Ting Xiao, Kaz-Onyeakazi Ijeoma, Ratnam Cheran, Yuvraj Baweja, Phillip Nelson:
Stock2Vec: An Embedding to Improve Predictive Models for Companies. - Lin Li, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang:
SoK: An Overview of PPG's Application in Authentication. - Qingkai Lu, Yifan Zhu, Liangjun Zhang:
Excavation Reinforcement Learning Using Geometric Representation. - Neha Deshpande, Nicholas Farris, Vidhur Kumar:
Highly Generalizable Models for Multilingual Hate Speech Detection. - Zoubeir Mlika, Soumaya Cherkaoui:
Network Slicing with MEC and Deep Reinforcement Learning for the Internet of Vehicles. - Jie Shao, Wei Yao, Peng Wan, Lei Luo, Jiaxin Lyu, Wuming Zhang:
Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context. - Jianping Cai, Ximeng Liu, Jiayin Li, Shuangyue Zhang:
Generation Matrix: An Embeddable Matrix Representation for Hierarchical Trees. - Zhe Wang, Jiayi Zhang, Hien Quoc Ngo, Bo Ai, Mérouane Debbah:
Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO. - Shun Zhang, Tao Zhang, Stan Z. Li, Shenghui Cheng:
Geo-indistinguishable Mechanisms for Spatial Crowdsourcing via Multi-Objective Evolutionary Optimization. - Enyu Shi, Jiayi Zhang, Shuaifei Chen, Jiakang Zheng, Yan Zhang, Derrick Wing Kwan Ng, Bo Ai:
Wireless Energy Transfer in RIS-Aided Cell-Free Massive MIMO Systems: Opportunities and Challenges. - Rahul Gopinath, Philipp Görz, Alex Groce:
Mutation Analysis: Answering the Fuzzing Challenge. - Zhengyang Li, Yijia Tang, Jing Chen, Hao Wu:
The Quadratic Wasserstein Metric With Squaring Scaling For Seismic Velocity Inversion. - Hong Xuan, Robert Pless:
Dissecting the impact of different loss functions with gradient surgery. - Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah:
Calibration with Privacy in Peer Review. - Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi:
Towards a Secure and Reliable Federated Learning using Blockchain. - Bin Li, Yunlong Fan, Yikemaiti Sataer, Zhiqiang Gao:
A Higher-Order Semantic Dependency Parser. - Chen Wu, Ming Yan:
Learning Deep Semantic Model for Code Search using CodeSearchNet Corpus. - Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki:
Transformer Module Networks for Systematic Generalization in Visual Question Answering. - Fahad Rahman Amik, Ahnaf Ismat Tasin, Silvia Ahmed, Mirza M. Lutfe Elahi, Nabeel Mohammed:
Dynamic Rectification Knowledge Distillation. - Haidong Li, Anzhi Sheng, Yijie Peng, Long Wang:
Efficient Distributed Learning in Stochastic Non-cooperative Games without Information Exchange. - Xu T. Liu, Jesun Firoz, Sinan Aksoy, Ilya Amburg, Andrew Lumsdaine, Cliff A. Joslyn, Assefaw H. Gebremedhin, Brenda Praggastis:
High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis. - Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo:
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? - Geng Liu, Saumil Patel, Ramesh Balakrishnan, Taehun Lee:
IMEXLBM 1.0: A Proxy Application based on the Lattice Boltzmann Method for solving Computational Fluid Dynamic problems on GPUs. - Emily Koo, Heather Bowling, Kenneth Ashworth, David J. Heeger, Stefano Pacifico:
Epistemic AI platform accelerates innovation by connecting biomedical knowledge. - Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen:
Ontology-enhanced Prompt-tuning for Few-shot Learning. - Keigo Takeuchi:
On the Convergence of Orthogonal/Vector AMP: Long-Memory Message-Passing Strategy. - Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi:
Towards a Scalable and Trustworthy Blockchain: IoT Use Case. - Jianyu Xu, Yu-Xiang Wang:
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise. - Dimitrios Sikeridis, Michael Devetsikiotis:
Smart City Defense Game: Strategic Resource Management during Socio-Cyber-Physical Attacks. - Yingchao Pan, Ouhan Huang, Qinghao Ye, Zhongjin Li, Wenjiang Wang, Guodun Li, Yuxing Chen:
Exploring Global Diversity and Local Context for Video Summarization. - Poushali Pal, Devabalaji K. R, S. Priyadarshini:
Design of Battery management system for Residential applications. - Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. - Seung Park, Cheol-Hwan Yoo, Yong-Goo Shin:
Effective Shortcut Technique for GAN. - Chaithya G. R., Philippe Ciuciu:
Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks. - Carlos Mougan, José M. Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab:
Fairness implications of encoding protected categorical attributes. - Jack Cai, Amirali Amirsoleimani, Roman Genov:
HYPERLOCK: In-Memory Hyperdimensional Encryption in Memristor Crossbar Array. - Yihe Wang, Yitong Li, Yasheng Wang, Fei Mi, Pingyi Zhou, Xin Wang, Jin Liu, Qun Liu, Xin Jiang:
Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation. - Hajar Moudoud, Lyes Khoukhi, Soumaya Cherkaoui:
Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT. - Ting-Chun Lin, Min-Hsiu Hsieh:
c3-Locally Testable Codes from Lossless Expanders. - Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi:
An IoT Blockchain Architecture Using Oracles and Smart Contracts: the Use-Case of a Food Supply Chain. - Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal:
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Sanskrit Dependency Parsing. - Daniel Genkin, William Kosasih, Fangfei Liu, Anna Trikalinou, Thomas Unterluggauer, Yuval Yarom:
CacheFX: A Framework for Evaluating Cache Security. - Dvir Ginzburg, Dan Raviv:
Deep Confidence Guided Distance for 3D Partial Shape Registration. - Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao:
Achieving Personalized Federated Learning with Sparse Local Models. - Yen-Chi Lee, Min-Hsiu Hsieh:
Capacity of First Arrival Position Channel in Diffusion-Based Molecular Communication. - Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi:
An Overview of Blockchain and 5G Networks. - Feng Yang, Yichao Cao, Qifan Xue, Shuai Jin, Xuanpeng Li, Weigong Zhang:
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification. - Jivnesh Sandhan, Ayush Daksh, Om Adideva Paranjay, Laxmidhar Behera, Pawan Goyal:
Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages. - Chunyong Yang, Pengfei Liu, Yanli Chen, Hongbin Wang, Min Liu:
The MSXF TTS System for ICASSP 2022 ADD Challenge. - Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng:
Generalised Image Outpainting with U-Transformer. - Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek:
Online Planning in POMDPs with Self-Improving Simulators. - Jasmin Zalonis, Frederik Armknecht, Björn Grohmann, Manuel Koch:
Report: State of the Art Solutions for Privacy Preserving Machine Learning in the Medical Context. - Saikat Dutta, Arulkumar Subramaniam, Anurag Mittal:
Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions. - Syed Asad Alam, David Gregg, Giulio Gambardella, Michael Preußer, Michaela Blott:
On the RTL Implementation of FINN Matrix Vector Compute Unit. - Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang:
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence. - Debashis Mukherjee:
Reduction of Two-Dimensional Data for Speeding Up Convex Hull Computation. - Masahiro Nomura, Isao Ono:
Fast Moving Natural Evolution Strategy for High-Dimensional Problems. - Kota Sugihara, Ken Hayami, Zeyu Liao:
GMRES using pseudo-inverse for range symmetric singular systems. - Hendrik Schippers, Cedrik Schüler, Benjamin Sliwa, Christian Wietfeld:
System Modeling and Performance Evaluation of Predictive QoS for Future Tele-Operated Driving. - Ferhat Erata, Arda Goknil, Eren Yildiz, Kasim Sinan Yildirim, Ruzica Piskac, Jakub Szefer, Gökçin Sezgin:
ETAP: Energy-aware Timing Analysis of Intermittent Programs. - Sanket Biswas, Ayan Banerjee, Josep Lladós, Umapada Pal:
DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer. - Dominik Müller, Iñaki Soto Rey, Frank Kramer:
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks. - Raphael Koster, Jan Balaguer, Andrea Tacchetti, Ari Weinstein, Tina Zhu, Oliver P. Hauser, Duncan Williams, Lucy Campbell-Gillingham, Phoebe Thacker, Matthew M. Botvinick, Christopher Summerfield:
Human-centered mechanism design with Democratic AI. - Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
Yes-Yes-Yes: Donation-based Peer Reviewing Data Collection for ACL Rolling Review and Beyond. - Aleksandra Rashkovska, Mitja Jancic, Matjaz Depolli, Janko Kosmac, Gregor Kosec:
Uncertainty Assessment of Dynamic Thermal Line Rating for Operational Use at Transmission System Operators. - Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima:
A Generalization of the Stratonovich's Value of Information and Application to Privacy-Utility Trade-off. - David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. - Hans-Martin Heyn, Padmini Subbiah, Jennifer Linder, Eric Knauss, Olof Eriksson:
Setting AI in context: A case study on defining the context and operational design domain for automated driving. - Anshul Jindal, Mohak Chadha, Shajulin Benedict, Michael Gerndt:
Estimating the Capacities of Function-as-a-Service Functions. - Yuren Cong, Michael Ying Yang, Bodo Rosenhahn:
RelTR: Relation Transformer for Scene Graph Generation. - Ting Yang, Kai Wan, Minquan Cheng, Giuseppe Caire:
Multiple-antenna Placement Delivery Array for Cache-aided MISO Systems. - Jinyang Jiang, Jiaqiao Hu, Yijie Peng:
Quantile-Based Policy Optimization for Reinforcement Learning. - Kevin Batz, Ira Fesefeldt, Marvin Jansen, Joost-Pieter Katoen, Florian Keßler, Christoph Matheja, Thomas Noll:
Foundations for Entailment Checking in Quantitative Separation Logic (extended version). - Mingming Zhang, Kai Wan, Minquan Cheng, Giuseppe Caire:
Coded Caching for Two-Dimensional Multi-Access Networks. - Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen:
Reasoning Like Program Executors. - Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal, Ankush Mittal:
Eye-focused Detection of Bell's Palsy in Videos. - Kanishak Vaidya, B. Sundar Rajan:
Multi-Access Cache-Aided Multi-User Private Information Retrieval. - Jorrit Voigt, Thomas Bock, Uwe Hilpert, Ralf Hellmann, Michael Möckel:
Edge effects in radial porosity profiles from CT measurements and melt pool signal intensities for laser powder bed fusion. - Prateek Kate, Vadlamani Ravi, Akhilesh Gangwar:
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance. - Ohad Shamir:
The Implicit Bias of Benign Overfitting. - Thomas Takacs, Deepesh Toshniwal:
Almost-C1 splines: Biquadratic splines on unstructured quadrilateral meshes and their application to fourth order problems. - Shohei Nakazawa, Yoshiki Sato, Sho Tsugawa, Kenji Nakagawa, Kohei Watabe:
GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features. - Javier Marina-Miranda, V. Javier Traver:
Head and eye egocentric gesture recognition for human-robot interaction using eyewear cameras. - Marie Dominique Schmidt, Tobias Glasmachers, Ioannis Iossifidis:
From Motion to Muscle. - Aditya Bhatt, Adrian Sieler, Steffen Puhlmann, Oliver Brock:
Surprisingly Robust In-Hand Manipulation: An Empirical Study. - Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge:
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding. - Jianpeng Liao, Qian Tao, Jun Yan:
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification. - Kang Gao, Duy Minh Doc, Sheng Chu, Gang Wu, H. Alicia Kim, Carol A. Featherston:
Robust topology optimization of structures under uncertain propagation of imprecise stochastic-based uncertain field. - Guoyu Li, Kang Yang:
Study on the Data Processing of the IOT Sensor Network Based on Hadoop Cloud Platform and TWLGA Scheduling Algorithm. - Gereltsetseg Altangerel, Máté Tejfel:
Survey on some optimization possibilities for data plane applications. - Benjamin Biggs, Ian McInerney, Eric C. Kerrigan, George A. Constantinides:
High-level Synthesis using the Julia Language. - Yang Zhao, Han Gao, Peng Guo, Zihao Sun:
ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation. - Martin Grohe, Peter Lindner, Christoph Standke:
Probabilistic Query Evaluation with Bag Semantics. - Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das:
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. - Qilong Zhang, Xiaodan Li, Yuefeng Chen, Jingkuan Song, Lianli Gao, Yuan He, Hui Xue:
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains. - Daniel Dinsdale, Joe Gallagher:
Transfer Portal: Accurately Forecasting the Impact of a Player Transfer in Soccer. - Metodi P. Yankov, Francesco Da Ros, Søren Forchhammer, Lars Gruner-Nielsen:
Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels. - Ali Gholami, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
Coded Caching with Private Demands and Caches. - Yixuan Sun, Zhehao Zhu:
An improved judgement algorithm of point in-out convex polygons. - Koteswar Rao Jerripothula, Prerana Mukherjee:
ASOC: Adaptive Self-aware Object Co-localization. - Philip Bille, Inge Li Gørtz, Tord Stordalen:
Predecessor on the Ultra-Wide Word RAM. - Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu:
Human Interpretation of Saliency-based Explanation Over Text. - Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. - Karim Elsayed, Amr Rizk:
On the Impact of Network Delays on Time-to-Live Caching. - Xingda Wei, Fangming Lu, Rong Chen, Haibo Chen:
KRCORE: a microsecond-scale RDMA control plane for elastic computing. - Robert Beinert, Michael Quellmalz:
Total variation-based phase retrieval for diffraction tomography. - Qibin Zhou, Dongdong Bai, Junge Zhang, Fuqing Duan, Kaiqi Huang:
DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games. - Qing Wang, Hongji Shu, Jia Zhu:
GUDN A novel guide network for extreme multi-label text classification. - Ming Ding, Rasmus Kyng, Peng Zhang:
Two-Commodity Flow is Equivalent to Linear Programming under Nearly-Linear Time Reductions. - Suraj Suman, Cedomir Stefanovic, Strahinja Dosen, Petar Popovski:
Analysis and Optimization of the Latency Budget in Wireless Systems with Mobile Edge Computing. - Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMod: Fair Link Prediction and Recommendation via Graph Modification. - Emmanuel Senft, Satoru Satake, Takayuki Kanda:
Would You Mind Me if I Pass by You? Socially-Appropriate Behaviour for an Omni-based Social Robot in Narrow Environment. - Mario Szegedy, Jingjin Yu:
Budgeted Steiner Networks: Three Terminals with Equal Path Weights. - Kareem Amin, Jennifer Gillenwater, Matthew Joseph, Alex Kulesza, Sergei Vassilvitskii:
Plume: Differential Privacy at Scale. - Anoosheh Heidarzadeh, Alex Sprintson:
The Role of Reusable and Single-Use Side Information in Private Information Retrieval. - Pouria Mehrabi:
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method. - Hamidreza Bakhshzad Mahmoodi, Mohammad Javad Salehi, Antti Tölli:
Asymmetric Coded Caching for Multi-Antenna Location-Dependent Content Delivery. - David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci:
Domain-Invariant Representation Learning from EEG with Private Encoders. - Vasco D. Silva, Anna Carolina Finamore, Rui Henriques:
On the Role of Multi-Objective Optimization to the Transit Network Design Problem. - Chih-Chiang Huang, Hedongliang Liu, Lukas Holzbaur, Sven Puchinger, Antonia Wachter-Zeh:
List Decoding of 2-Interleaved Binary Alternant Codes. - Denis Kuperberg:
Positive First-order Logic on Words and Graphs. - Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir:
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study. - Rogério Rossi, Pollyana Notargiacomo Mustaro:
eQETIC: A Maturity Model for Online Education. - Nelly Elsayed, Zag ElSayed, Anthony S. Maida:
LiteLSTM Architecture for Deep Recurrent Neural Networks. - Manh Nguyen Duc, Anh Le-Tuan, Manfred Hauswirth, David Bowden, Danh Le Phuoc:
SemRob: Towards Semantic Stream Reasoning for Robotic Operating Systems. - Tanwir Ahmad, Dragos Truscan, Juri Vain, Ivan Porres:
Early Detection of Network Attacks Using Deep Learning. - Monica Vitali:
Towards Greener Applications: Enabling Sustainable Cloud Native Applications Design. - Chenyang Lei, Yazhou Xing, Hao Ouyang, Qifeng Chen:
Deep Video Prior for Video Consistency and Propagation. - Soma Niloy Ghosh, Vineet Sahula, Lava Bhargava:
Reuse-Aware Cache Partitioning Framework for Data-Sharing Multicore Systems. - Andrea Grigorescu, Holger Boche, Rafael F. Schaefer, H. Vincent Poor:
Capacity of Finite State Channels with Feedback: Algorithmic and Optimization Theoretic Properties. - Petar Bevanda, Max Beier, Shahab Heshmati-Alamdari, Stefan Sosnowski, Sandra Hirche:
Towards Data-driven LQR with KoopmanizingFlows. - Thomas Guyet, Wenbin Zhang, Albert Bifet:
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence. - Shurui Li, Puneet Gupta:
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors. - Jinhyun Park:
Representation learnt by SGD and Adaptive learning rules - Conditions that Vary Sparsity and Selectivity in Neural Network. - An-Dan Nguyen, Duc-Thinh Pham, Nimrod Lilith, Sameer Alam:
Model Generalization in Arrival Runway Occupancy Time Prediction by Feature Equivalences. - Itay Levinas, Roy Scherz, Yoram Louzoun:
BFS based distributed algorithm for parallel local directed sub-graph enumeration. - Emirhan Gürpinar:
Symmetries in Linear Programming for Information Inequalities. - Sourya Dey, Walt Woods:
LAGOON: An Analysis Tool for Open Source Communities. - Beong-woo Kwak, Youngwook Kim, Yu Jin Kim, Seung-won Hwang, Jinyoung Yeo:
TrustAL: Trustworthy Active Learning using Knowledge Distillation. - Parand Akbari, Francis Ogoke, Ning-Yu Kao, Kazem Meidani, Chun-Yu Yeh, William Lee, Amir Barati Farimani:
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning. - Xihaier Luo, Ahsan Kareem, Liting Yu, Shinjae Yoo:
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing. - Wei-Yao Wang, Wen-Chih Peng:
Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification. - Giorgia Dellaferrera, Gabriel Kreiman:
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass. - Tianru Zhang, Salman Toor, Andreas Hellander:
Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning. - Yasutada Oohama, Bagus Santoso:
Strong Converse Theorem for Source Encryption under Side-Channel Attacks. - Xin Du, Bénédicte Legastelois, Bhargavi Ganesh, Ajitha Rajan, Hana Chockler, Vaishak Belle, Stuart Anderson, Subramanian Ramamoorthy:
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities. - John Pougué-Biyong, Akshay Gupta, Aria Haghighi, Ahmed El-Kishky:
Learning Stance Embeddings from Signed Social Graphs. - Carlos Mougan, Dan Saattrup Nielsen:
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap. - Sudarshan Adiga, Ravi Tandon:
Unsupervised Change Detection using DRE-CUSUM. - Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. - Georg Maierhofer, Daan Huybrechs:
An analysis of least-squares oversampled collocation methods for compactly perturbed boundary integral equations in two dimensions. - Nicolas Boullé, Patrick E. Farrell, Marie E. Rognes:
Optimal control of Hopf bifurcations. - Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun:
Generative Adversarial Exploration for Reinforcement Learning. - Dmitri A. Rachkovskij, Denis Kleyko:
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences. - Tianshuo Cong, Xinlei He, Yang Zhang:
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. - Daqi Liu, Miroslaw Bober, Josef Kittler:
Constrained Structure Learning for Scene Graph Generation. - Joseph Early, Christine Evers, Sarvapali D. Ramchurn:
Model Agnostic Interpretability for Multiple Instance Learning. - Melissa Hall, Laurens van der Maaten, Laura Gustafson, Aaron Adcock:
A Systematic Study of Bias Amplification. - Md Momen Bhuiyan, Carlos Augusto Bautista Isaza, Tanushree Mitra, Sang Won Lee:
OtherTube: Facilitating Content Discovery and Reflection by Exchanging YouTube Recommendations with Strangers. - Hengjie Yang, Recep Can Yavas, Victoria Kostina, Richard D. Wesel:
Variable-Length Stop-Feedback Codes With Finite Optimal Decoding Times for BI-AWGN Channels. - Will Leeson, Matthew B. Dwyer:
Algorithm Selection for Software Verification using Graph Attention Networks. - Hao Chen, Jiacheng Tang, Abhishek Gupta:
Change Detection of Markov Kernels with Unknown Post Change Kernel using Maximum Mean Discrepancy. - Yuri Cossich Lavinas, Claus Aranha, Gabriela Ochoa:
Search Trajectories Networks of Multiobjective Evolutionary Algorithms. - Zhiyuan Yao, Zihan Ding, Thomas H. Clausen:
Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. - Noam Razin, Asaf Maman, Nadav Cohen:
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. - Laurent Bulteau, Konrad K. Dabrowski, Noleen Köhler, Sebastian Ordyniak, Daniël Paulusma:
An Algorithmic Framework for Locally Constrained Homomorphisms. - Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, Edoardo Maria Ponti, Ivan Vulic:
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages. - David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi:
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. - Hong Yang, Travis Desell:
Robust Augmentation for Multivariate Time Series Classification. - Addison Wood, Jory Schossau, Nick Sabaj, Richard Liu, Mark Reimers:
A neural net architecture based on principles of neural plasticity and development evolves to effectively catch prey in a simulated environment. - Somnuk Phon-Amnuaisuk:
Exploring Graph Representation of Chorales. - Dewei Hu, Yuankai K. Tao, Ipek Oguz:
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model. - Stefan Hristozov, Moritz Wettermann, Manuel Huber:
A TOCTOU Attack on DICE Attestation. - Matthew Setzler, Scott Howland, Lauren A. Phillips:
Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding. - Ahmet Furkan Hacan, Bilal Kabas, Samet Oguten:
Design Optimization of a Three-Phase Transformer Using Finite Element Analysis. - Abraham Israeli, Oren Tsur:
Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab. - Ramnath Kumar, Tristan Deleu, Yoshua Bengio:
The Effect of Diversity in Meta-Learning. - Athur Michon, Fayçal Ait Aoudia, K. Pavan Srinath:
Convolutional Self-Attention-Based Multi-User MIMO Demapper. - Matthias Fitzi, Xuechao Wang, Sreeram Kannan, Aggelos Kiayias, Nikos Leonardos, Pramod Viswanath, Gerui Wang:
Minotaur: Multi-Resource Blockchain Consensus. - Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. - Ramnath Kumar, Tristan Deleu, Yoshua Bengio:
Rethinking Learning Dynamics in RL using Adversarial Networks. - Sebastian Monka, Lavdim Halilaj, Achim Rettinger:
A Survey on Visual Transfer Learning using Knowledge Graphs. - Shamiul Alam, Md. Shafayat Hossain, Ahmedullah Aziz:
A Privacy-Protecting Framework of Autonomous Contact Tracing for SARS-CoV-2 and Beyond. - Boning Li, Gunjan Verma, Santiago Segarra:
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks. - Xizhe Wang, Ning Zhang, Jia Wang, Jing Ni, Xinzi Sun, John Zhang, Zitao Liu, Yu Cao, Benyuan Liu:
A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment. - Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding:
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning. - Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, David Vega-Guzmán, Catia Trubiani, Mario Linares-Vásquez, Gabriele Bavota:
Taxonomy of Security Weaknesses in Java and Kotlin Android Apps. - Rassa Ghavami Modegh, Ahmad Salimi, Hamid R. Rabiee:
LAP: An Attention-Based Module for Faithful Interpretation and Knowledge Injection in Convolutional Neural Networks. - Hichan Agueny:
Porting OpenACC to OpenMP on heterogeneous systems. - Li Yang, Abdallah Shami:
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles. - Benjamin Dees, Susama Agarwala, Corey Lowman:
Eigenvalues of Autoencoders in Training and at Initialization. - Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek:
Consolidated learning - a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV. - Yimin Lin, Jesse Chan, Ignacio Tomas:
A positivity preserving strategy for entropy stable discontinuous Galerkin discretizations of the compressible Euler and Navier-Stokes equations. - Marcel Binz, Eric Schulz:
Exploration With a Finite Brain. - Michal Piovarci, Michael Foshey, Jie Xu, Timothy Erps, Vahid Babaei, Piotr Didyk, Szymon Rusinkiewicz, Wojciech Matusik, Bernd Bickel:
Closed-Loop Control of Direct Ink Writing via Reinforcement Learning. - Hao Li, Filipe Roseiro Côgo, Cor-Paul Bezemer:
An Empirical Study of Yanked Releases in the Rust Package Registry. - Alexander Wich, Holger Schultheis, Michael Beetz:
Empirical Estimates on Hand Manipulation are Recoverable: A Step Towards Individualized and Explainable Robotic Support in Everyday Activities. - Daniel B. Arnold, Sy-Toan Ngo, Ciaran M. Roberts, Yize Chen, Anna Scaglione, Sean Peisert:
Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation. - Ayoub Ghriss, Bo Yang, Viktor Rozgic, Elizabeth Shriberg, Chao Wang:
Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition. - Amine Abouaomar, Abdellatif Kobbane, Soumaya Cherkaoui:
Matching-Game for User-Fog Assignment. - Shuangjun Liu, Sarah Ostadabbas:
Pressure Eye: In-bed Contact Pressure Estimation via Contact-less Imaging. - Amine Abouaomar, Soumaya Cherkaoui, Abdellatif Kobbane, Oussama Abderrahmane Dambri:
A Resources Representation For Resource Allocation In Fog Computing Networks. - Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika, Abdellatif Kobbane:
Mean-Field Game and Reinforcement Learning MEC Resource Provisioning for SFC. - Amine Abouaomar, Zoubeir Mlika, Abderrahime Filali, Soumaya Cherkaoui, Abdellatif Kobbane:
A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks. - Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika, Abdellatif Kobbane:
Resource Provisioning in Edge Computing for Latency Sensitive Applications. - Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo:
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences. - Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong:
MSCCL: Microsoft Collective Communication Library. - Haoming Zhang, Xiao-Jun Wu, Tianyang Xu, Donglin Zhang:
Discriminative Supervised Subspace Learning for Cross-modal Retrieval. - Qi Zhao, Huanhao Li, Zhipeng Yu, Chi Man Woo, Tianting Zhong, Shengfu Cheng, Yuanjin Zheng, Honglin Liu, Jie Tian, Puxiang Lai:
Speckle-based optical cryptosystem and its application for human face recognition via deep learning. - Matija Sipek, D. Muharemagic, Branko Mihaljevic, Aleksander Radovan:
Enhancing Performance of Cloud-based Software Applications with GraalVM and Quarkus. - C. V. Vletter, H. L. Burger, Hani Alers, N. Sourlos, Zaid Al-Ars:
Towards an Automatic Diagnosis of Peripheral and Central Palsy Using Machine Learning on Facial Features. - Heting Liu, Zhichao Li, Cheng Tan, Rongqiu Yang, Guohong Cao, Zherui Liu, Chuanxiong Guo:
Prediction of GPU Failures Under Deep Learning Workloads. - Sarper Aydin, Sina Arefizadeh, Ceyhun Eksin:
Decentralized Fictitious Play Converges Near a Nash Equilibrium in Near-Potential Games. - Yunfei Ge, Quanyan Zhu:
Accountability and Insurance in IoT Supply Chain. - William Franz Lamberti:
Using Shape Metrics to Describe 2D Data Points. - Mehmet Fatih Ozkan, Yao Ma:
Distributed Stochastic Model Predictive Control for Human-Leading Heavy-Duty Truck Platoon. - Piyush Kumar Sharma, Devashish Gosain, Claudia Díaz:
On the Anonymity of Peer-To-Peer Network Anonymity Schemes Used by Cryptocurrencies. - Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller:
The Challenges of Exploration for Offline Reinforcement Learning. - Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank J. Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi:
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients. - Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. - Payam Karisani:
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers. - Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth:
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey. - Natalie Maus, Haydn T. Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner:
Local Latent Space Bayesian Optimization over Structured Inputs. - Grégoire Sergeant-Perthuis:
Regionalized optimization. - Sharon Lynn Chu, Brittany M. Garcia, Neha Rani:
Research on Wearable Technologies for Learning: A Systematic Review. - Tianming Feng, Xuemai Gu, Ben Liang:
Random Caching Design for Multi-User Multi-Antenna HetNets with Interference Nulling. - A. Feder Cooper, Gili Vidan:
Making the Unaccountable Internet: The Changing Meaning of Accounting in the Design of the Early Internet. - Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng:
Boosting Entity Mention Detection for Targetted Twitter Streams with Global Contextual Embeddings. - Remi A. Chou, Jörg Kliewer:
Function Computation Without Secure Links: Information and Leakage Rates. - Kang Liu, Zaichen Zhang, Jian Dang, Liang Wu, Bingcheng Zhu, Lei Wang, Chuan Zhang:
A New High Energy Efficiency Scheme Based on Two-Dimension Resource Blocks in Wireless Communication Systems. - Jane A. Yu, Alon Y. Halevy:
The CARE Dataset for Affective Response Detection. - Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang:
Identifying Emergent Leadership in OSS Projects Based on Communication Styles. - Xu-Lu Zhang, Zhen-Qun Yang, Hao Tian, Qing Li, Xiaoyong Wei:
Indicative Image Retrieval: Turning Blackbox Learning into Grey. - Remi A. Chou:
Private Classical Communication over Quantum Multiple-Access Channels. - Susama Agarwala, Benjamin Dees, Corey Lowman:
Geometric instability of out of distribution data across autoencoder architecture. - Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed H. Chi, Quoc Le, Denny Zhou:
Chain of Thought Prompting Elicits Reasoning in Large Language Models. - Gurupraanesh Raman, Gururaghav Raman, Jimmy Chih-Hsien Peng:
Coupled power generators require stability buffers in addition to inertia. - Jason Kamran Eshraghian, Wei D. Lu:
The fine line between dead neurons and sparsity in binarized spiking neural networks. - Xijing Liu, Kevin Lam, Balsam Alkouz, Babar Shahzaad, Athman Bouguettaya:
Constraint-based Formation of Drone Swarms. - Jiangnan Cheng, Sandeep Chinchali, Ao Tang:
Task-Aware Network Coding Over Butterfly Network. - Jiatai Huang, Yan Dai, Longbo Huang:
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. - Xiaoshuai Zhang, Rui Chen, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su:
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation. - Sergio Salinas, Nancy Hitschfeld, Alejandro Ortiz-Bernardin, Hang Si:
POLYLLA: Polygonal meshing algorithm based on terminal-edge regions. - Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao:
Constrained Variational Policy Optimization for Safe Reinforcement Learning. - Hua Chen, Zejun Hong, Shunpeng Yang, Patrick M. Wensing, Wei Zhang:
Quadruped Capturability and Push Recovery via a Switched-Systems Characterization of Dynamic Balance. - Meghal Gupta, Rachel Yun Zhang:
Positive Rate Binary Interactive Error Correcting Codes Resilient to >1/2 Adversarial Erasures. - Yan Shuo Tan, Chandan Singh, Keyan Nasseri, Abhineet Agarwal, Bin Yu:
Fast Interpretable Greedy-Tree Sums (FIGS). - Shiyu Wang, Xiaojie Guo, Liang Zhao:
Deep Generative Model for Periodic Graphs. - Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding:
A Secure and Efficient Federated Learning Framework for NLP. - Anisha Banerjee, Andreas Lenz, Antonia Wachter-Zeh:
Sequential Decoding of Convolutional Codes for Synchronization Errors. - Shiwen Zhao, Charles Crissman, Guillermo R. Sapiro:
Consistent Collaborative Filtering via Tensor Decomposition. - Wei Xue, Xiaojiang Peng:
Stereo Matching with Cost Volume based Sparse Disparity Propagation. - James Wang, Cheng-Lin Yang:
With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization. - Paul Zhang, Dmitriy Smirnov, Justin Solomon:
Wassersplines for Stylized Neural Animation. - Bruno Hexsel, Heethesh Vhavle, Yi Chen:
DICP: Doppler Iterative Closest Point Algorithm. - Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. - Jiawang Nie, Li Wang, Zequn Zheng:
Higher Order Correlation Analysis for Multi-View Learning. - Kyeong-Joong Jeong, Yong-Min Shin:
Time-Series Anomaly Detection with Implicit Neural Representation. - Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni, Baosen Zhang:
Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models. - Changwei Xu, Jianfei Yang, Haoran Tang, Han Zou, Cheng Lu, Tianshuo Zhang:
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation. - Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari:
Dynamic Temporal Reconciliation by Reinforcement learning. - Yuhao Ding, Javad Lavaei:
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. - Jinyoung Shin, Jae Yong Lee, Hyung Ju Hwang:
Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations. - Thien Le, Stefanie Jegelka:
Training invariances and the low-rank phenomenon: beyond linear networks. - Rui Wang, Robin Walters, Rose Yu:
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics. - Yu Tian, Zhangkai Ni, Baoliang Chen, Shiqi Wang, Hanli Wang, Sam Kwong:
Generalized Visual Quality Assessment of GAN-Generated Face Images. - Ce Yang, Weihao Gao, Di Wu, Chong Wang:
Learning to Simulate Unseen Physical Systems with Graph Neural Networks. - Fatemeh Sheikh Shoaei, Alireza Nahvy, Zainalabedin Navabi:
Testable Array Multipliers for a Better Utilization of C-Testability and Bijectivity. - Chongkai Gao, Yizhou Jiang, Feng Chen:
Transfering Hierarchical Structure with Dual Meta Imitation Learning. - Chen Li, Kevin Lewis:
The need for and feasibility of alternative ground robots to traverse sandy and rocky extraterrestrial terrain. - Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Eugene Belilovsky, Irina Rish:
Gradient Masked Averaging for Federated Learning. - Naoki Sato, Hideaki Iiduka:
Using Constant Learning Rate of Two Time-Scale Update Rule for Training Generative Adversarial Networks. - Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro:
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. - Yutong Wang, Guillaume Sartoretti:
FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems. - He Sun, Mingkun Li, Chun-Guang Li:
Hybrid Contrastive Learning with Cluster Ensemble for Unsupervised Person Re-identification. - Shuang Wu, Zhenguang Liu, Shijian Lu, Li Cheng:
Dual Learning Music Composition and Dance Choreography. - Zeyu Lu, Xingyu Gao, Haoyong Yu:
GTac: A Biomimetic Tactile Sensor with Skin-like Heterogeneous Force Feedback for Robots. - Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez:
Provably Improving Expert Predictions with Conformal Prediction. - Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan:
Unfolding a blurred image. - Fayssal Bendaoud, Marwen Abdennebi, Fedoua Didi:
A MADM method for network selection in heterogeneous wireless networks. - Markus Bause, Uwe Köcher, Florin A. Radu:
Convergence of a continuous Galerkin method for mixed hyperbolic-parabolic systems. - Jane Pauline Ramirez, Cesare Stefanini, Giulia De Masi, Donato Romano:
Design of magnetic coupling-based anti-biofouling mechanism for underwater optical sensors. - Refael Kohen, Or Sheffet:
Transfer Learning In Differential Privacy's Hybrid-Model. - Fayssal Bendaoud, Marwen Abdennebi, Fedoua Didi:
Network Selection schemes in Heterogeneous Wireless Networks. - Rodrigo Sato Martín de Almagro:
High-order integrators for Lagrangian systems on homogeneous spaces via nonholonomic mechanics. - Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. - Marcin Lewicki, Tomasz Kajdanowicz, Piotr Bródka, Janusz Sobecki:
Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales. - Furkan Eris, Marcia S. Louis, Kubra Eris, José L. Abellán, Ajay Joshi:
Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy. - Wolfgang Mauerer, Stefanie Scherzinger:
1-2-3 Reproducibility for Quantum Software Experiments. - Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Extended Persistent Homology on Graphs. - Davide Canali:
A survey on flexible/restricted skyline and their applicability. - Jungnam Park, Sehee Min, Phil Sik Chang, Jaedong Lee, Moon Seok Park, Jehee Lee:
Generative GaitNet. - Cedric Richter, Heike Wehrheim:
TSSB-3M: Mining single statement bugs at massive scale. - Ali Caglayan, Nevrez Imamoglu, Oguzhan Guclu, Ali Osman Serhatoglu, Weimin Wang, Ahmet Burak Can, Ryosuke Nakamura:
RGB-D SLAM Using Attention Guided Frame Association. - Matthew Middlehurst, Anthony J. Bagnall:
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier. - Christopher Jelich, Wenchang Zhao, Haibo Chen, Steffen Marburg:
Fast multipole boundary element method for the acoustic analysis of finite periodic structures. - M. Shamanth, Russel Mathias, Vijayalakshmi MN:
Detection of fake faces in videos. - Bartlomiej Polaczyk, Jacek Cyranka:
Improved Overparametrization Bounds for Global Convergence of Stochastic Gradient Descent for Shallow Neural Networks. - Patricia Diaz de Alba, Luisa Fermo, Federica Pes, Giuseppe Rodriguez:
Regularized minimal-norm solution of an overdetermined system of first kind integral equations. - Md. Zaved Iqubal Ahmed, Nidul Sinha, Souvik Phadikar:
Automated Feature Extraction on AsMap for Emotion Classification using EEG. - Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Pérez-Cruz, Antonietta Mira:
Learning Summary Statistics for Bayesian Inference with Autoencoders. - Yves Meinard, Alexis Tsoukiàs:
What is Legitimate Decision Support? - Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li:
You Only Cut Once: Boosting Data Augmentation with a Single Cut. - Takashi Mori, Masahito Ueda:
Interplay between depth of neural networks and locality of target functions. - Ziyu Wang, Wenhao Jiang, Yiming Zhu, Li Yuan, Yibing Song, Wei Liu:
DynaMixer: A Vision MLP Architecture with Dynamic Mixing. - Robert Nichols, Christian Rathgeb, Pawel Drozdowski, Christoph Busch:
Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations. - Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang:
Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves. - Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. - Max Bolderman, Mircea Lazar, Hans Butler:
On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization. - Chi Liu, Zongyuan Ge, Mingguang He, Xiaotong Han:
Label uncertainty-guided multi-stream model for disease screening. - Shauli Ravfogel, Michael Twiton, Yoav Goldberg, Ryan Cotterell:
Linear Adversarial Concept Erasure. - Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang:
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. - Lifa Zhu, Haining Guan, Changwei Lin, Renmin Han:
Neighborhood-aware Geometric Encoding Network for Point Cloud Registration. - Tao Yu, Zhizheng Zhang, Cuiling Lan, Zhibo Chen, Yan Lu:
Mask-based Latent Reconstruction for Reinforcement Learning. - Ivo Vatavuk, Marsela Polic, Ivan Hrabar, Frano Petric, Matko Orsag, Stjepan Bogdan:
Autonomous, Mobile Manipulation in a Wall-building Scenario: Team LARICS at MBZIRC 2020. - Zizhang Wu, Jason Wang, Tianhao Xu, Fan Wang:
Detecting Owner-member Relationship with Graph Convolution Network in Fisheye Camera System. - Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Brian Kingsbury, George Saon:
Improving End-to-End Models for Set Prediction in Spoken Language Understanding. - Raoul Schönhof, Artem Werner, Jannes Elstner, Boldizsar Zopcsak, Ramez Awad, Marco F. Huber:
Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods. - Pan He, Yuxi Chen, Yan Wang, Yanru Zhang:
Protum: A New Method For Prompt Tuning Based on "[MASK]". - Vladimir A. Garanzha, Igor E. Kaporin, Liudmila N. Kudryavtseva, François Protais, David Desobry, Dmitry Sokolov:
Practical lowest distortion mapping. - Dobrik Georgiev, Marc Brockschmidt, Miltiadis Allamanis:
HEAT: Hyperedge Attention Networks. - Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang:
Rethinking Attention-Model Explainability through Faithfulness Violation Test. - Machel Reid, Yutaro Yamada, Shixiang Shane Gu:
Can Wikipedia Help Offline Reinforcement Learning? - Camille Gontier, Jakob Jordan, Mihai A. Petrovici:
DELAUNAY: a dataset of abstract art for psychophysical and machine learning research. - Huayuan Sun:
Adaptive Optimizer for Automated Hyperparameter Optimization Problem. - Niklas Höpner, Ilaria Tiddi, Herke van Hoof:
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods. - Zaid Abdullah, Anastasios K. Papazafeiropoulos, Steven Kisseleff, Symeon Chatzinotas, Björn E. Ottersten:
Impact of Phase-Noise and Spatial Correlation on Double-RIS-Assisted Multiuser MISO Networks. - Yanhong Fei, Yingjie Liu, Xian Wei, Mingsong Chen:
O-ViT: Orthogonal Vision Transformer. - Chnoor M. Rahman, Tarik A. Rashid, Aram Mahmood Ahmed, Seyedali Mirjalili:
Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems. - Amit Dhurandhar, Karthikeyan Ramamurthy, Kartik Ahuja, Vijay Arya:
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. - Felix Mohr, Jan N. van Rijn:
Learning Curves for Decision Making in Supervised Machine Learning - A Survey. - Hao Jia, Zhe Sun, Feng Duan, Yu Zhang, Cesar F. Caiafa, Jordi Solé-Casals:
Improving Pre-movement Pattern Detection with Filter Bank Selection. - Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Jianhua Tao, Yu Ting Yeung, Liqun Deng:
Reducing language context confusion for end-to-end code-switching automatic speech recognition. - Hao Jia, Zhe Sun, Feng Duan, Yu Zhang, Cesar F. Caiafa, Jordi Solé-Casals:
Towards Multi-class Pre-movement Classification. - Benjamin Doerr, Amirhossein Rajabi:
Stagnation Detection meets Fast Mutation. - Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami:
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology. - Adam Malkowski, Jakub Grzechocinski, Pawel Wawrzynski:
Graph autoencoder with constant dimensional latent space. - Maximilian Neidhardt, Stefan Gerlach, Robin Mieling, Max-Heinrich Laves, Thorben Weiß, Martin Gromniak, Antonia Fitzek, Dustin Möbius, Inga Kniep, Alexandra Ron, Julia Schädler, Axel Heinemann, Klaus Püschel, Benjamin Ondruschka, Alexander Schlaefer:
Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses. - Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction. - Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. - Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli:
Generative Coarse-Graining of Molecular Conformations. - Ipek Ozkaya, Zachary Kurtz, Robert L. Nord, Raghvinder S. Sangwan, Satish Mahadevan Srinivasan:
Detecting Discussions of Technical Debt. - Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda:
Compositionality-Aware Graph2Seq Learning. - Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting:
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. - Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj:
Cause-Effect Preservation and Classification using Neurochaos Learning. - Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti:
Signaling in Posted Price Auctions. - Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg:
A tomographic workflow to enable deep learning for X-ray based foreign object detection. - Jing Chen, Madhavan Manivannan, Mustafa Abduljabbar, Miquel Pericàs:
ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes. - Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell:
Adversarial Concept Erasure in Kernel Space. - Ruida Zhou, Chao Tian, Tie Liu:
Stochastic Chaining and Strengthened Information-Theoretic Generalization Bounds. - Jiayin Li, Chi-Wang Shu, Jianxian Qiu:
Moment-based multi-resolution HWENO scheme for hyperbolic conservation laws. - Ananya Appan, Anirudh Chandramouli, Ashish Choudhury:
Perfectly-Secure Synchronous MPC with Asynchronous Fallback Guarantees. - Leyang Zhang, Zhi-Qin John Xu, Tao Luo, Yaoyu Zhang:
Limitation of characterizing implicit regularization by data-independent functions. - Rachel Ann Arredondo, Ofri Dar, Kylon Chiang, Arielle Blonder, Lining Yao:
Blue Ceramics: Co-designing Morphing Ceramics for Seagrass Meadow Restoration. - Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum:
From data to functa: Your data point is a function and you should treat it like one. - Vineel Pratap, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Star Temporal Classification: Sequence Classification with Partially Labeled Data. - Siddhartha Datta, Nigel Shadbolt:
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire. - Thomas W. Mitchel, Noam Aigerman, Vladimir G. Kim, Michael Kazhdan:
Möbius Convolutions for Spherical CNNs. - Mihaela Gaman, Lida Ghadamiyan, Radu Tudor Ionescu, Marius Popescu:
Self-paced learning to improve text row detection in historical documents with missing lables. - Silvia Severini, Ayyoob Imani, Philipp Dufter, Hinrich Schütze:
Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages. - Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Neural Optimal Transport. - S. Rasoul Etesami:
Learning Stationary Nash Equilibrium Policies in n-Player Stochastic Games with Independent Chains via Dual Mirror Descent. - Emad Ibrahim, Rickard Nilsson, Jaap van de Beek:
Differential Polarization Shift Keying Through Reconfigurable Intelligent Surfaces. - Ziyad Benomar, Chaima Ghribi, Elie Cali, Alexander Hinsen, Benedikt Jahnel:
Agent-based modeling and simulation for malware spreading in D2D networks. - Mingyu Cai, Erfan Aasi, Calin Belta, Cristian-Ioan Vasile:
Overcoming Exploration: Deep Reinforcement Learning in Complex Environments from Temporal Logic Specifications. - Chen Wang, Ziyang Lu, Zhaojun Lan, Gennian Ge, Yiwei Zhang:
Coding schemes for locally balanced constraints. - Avik Pal, Alan Edelman, Christopher Rackauckas:
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs). - Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
Large Scale Generation of Labeled Type Data for Python. - Yixuan Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu:
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. - Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev:
Wasserstein Iterative Networks for Barycenter Estimation. - Chaima Ghribi, Elie Cali, Christian Hirsch, Benedikt Jahnel:
Agent-based simulations for coverage extensions in 5G networks and beyond. - Frederik Benzing:
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization. - Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda:
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. - Haixin Sun, Minh-Quan Dao, Vincent Frémont:
3D-FlowNet: Event-based optical flow estimation with 3D representation. - Kimberley Parsons Trommler, Matthias Hafner, Wolfgang Kellerer, Peter Merz, Sigurd Schuster, Josef Urban, Uwe Baeder, Bertram Gunzelmann, Andreas Kornbichler:
Six Questions about 6G. - Aman Verma, Vibhav Prakash Singh:
HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification. - Maximilian Boeker, Aleksandra Urman:
An Empirical Investigation of Personalization Factors on TikTok. - Maike Herkenrath, Till Fluschnik, Francesco Grothe, Leon Kellerhals:
Placing Green Bridges Optimally, with Habitats Inducing Cycles. - Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano:
Efficiency of Ad Auctions with Price Displaying. - Jean-Baptiste Bouvier, Melkior Ornik:
Quantitative Resilience of Linear Systems. - Karthik Sivarama Krishnan, Koushik Sivarama Krishnan:
Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset. - Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. - Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
Understanding Why Generalized Reweighting Does Not Improve Over ERM. - Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, Z. Morley Mao:
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions. - Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind:
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation. - Stanislav Morozov, Nikolai L. Zamarashkin, Eugene Tyrtyshnikov:
On the algorithm of best approximation by low rank matrices in the Chebyshev norm. - Robin Fritsch, Roger Wattenhofer:
The Price of Majority Support. - Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Lee M. Gunderson, Andrés Muñoz Medina, Umar Syed:
Statistical anonymity: Quantifying reidentification risks without reidentifying users. - Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas:
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. - Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski:
Generative Cooperative Networks for Natural Language Generation. - Meric Yucel, Serdar Bagis, Ahmet Sertbas, Mehmet Sarikaya, Burak Berk Üstündag:
Bioinspired Cortex-based Fast Codebook Generation. - Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt:
Summarizing Differences between Text Distributions with Natural Language. - Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul:
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein. - Sundara Rajan Srinivasavaradhan, Pavlos Nikolopoulos, Christina Fragouli, Suhas N. Diggavi:
Improving Group Testing via Gradient Descent. - Zhusheng Wang, Sennur Ulukus:
Communication Cost of Two-Database Symmetric Private Information Retrieval: A Conditional Disclosure of Multiple Secrets Perspective. - Alexey Kurakin, Steve Chien, Shuang Song, Roxana Geambasu, Andreas Terzis, Abhradeep Thakurta:
Toward Training at ImageNet Scale with Differential Privacy. - Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang:
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR. - Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel:
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. - Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina, Mónica Ribero:
A Joint Exponential Mechanism For Differentially Private Top-k. - Alex Sabol, Kyongsik Yun, Muhammad Adil, Changrak Choi, Ramtin Madani:
Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning. - Jonas Kusch, Benjamin Whewell, Ryan G. McClarren, Martin Frank:
A low-rank power iteration scheme for neutron transport criticality problems. - Ziwei Zhu, Changxi Zheng:
VarRCWA: An Adaptive High-Order Rigorous Coupled Wave Analysis Method. - Luis Ángel Larios Cárdenas, Frédéric Gibou:
Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set Method. - Di Wang, Qi Wang:
Accelerated numerical algorithms for steady states of Gross-Pitaevskii equations coupled with microwaves. - Guy Andre Boy:
Socioergonomics: A few clarifications on the Technology-Organizations-People Tryptic. - Jemal Rogava, Mikheil Tsiklauri, Zurab Vashakidze:
On Stability and Convergence of Three-layer Semi-discrete Scheme for an Abstract Analogue of the Ball Integro-differential Equation. - Ting Hu:
DiriNet: A network to estimate the spatial and spectral degradation functions. - Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. - Yu-Hong Cai, Xiao-Jun Wu, Zhe Chen:
Low-rank features based double transformation matrices learning for image classification. - Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Automatic Audio Captioning using Attention weighted Event based Embeddings. - Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. - Andrew C. Cullen, Tansu Alpcan, Alexander C. Kalloniatis:
Adversarial Decisions on Complex Dynamical Systems using Game Theory. - Jie Zhang, Lei Zhang, Gang Li, Chao Wu:
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. - Haowei He, Jingzhao Zhang, Yanan Wang, Shaobo Huang, Chen Wang, Yang Zhang, Dongxu Guo, Guannan He, Minggao Ouyang:
Detecting Electric Vehicle Battery Failure via Dynamic-VAE. - Rasmus Berg Palm, Miguel González Duque, Shyam Sudhakaran, Sebastian Risi:
Variational Neural Cellular Automata. - Samuel Epstein:
On the Kolmogorov Complexity of Binary Classifiers. - Herbert L. Roitblat:
Probably Reasonable Search in eDiscovery. - Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun:
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. - Mikolaj Malkinski, Jacek Mandziuk:
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices. - Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten:
Bounding Training Data Reconstruction in Private (Deep) Learning. - Ananya Dua, Pham Hung Minh, Sajid Fahmid, Shikhar Gupta, Sophia Zheng, Vanessa Moyo, Yanran Elisa Xue:
Developing a Machine-Learning Algorithm to Diagnose Age-Related Macular Degeneration. - Weimin Zhou, Miguel P. Eckstein:
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise. - Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier:
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. - Marco Pasetto, Zhaoxiang Shen, Marta D'Elia, Xiaochuan Tian, Nathaniel Trask, David Kamensky:
Efficient optimization-based quadrature for variational discretization of nonlocal problems. - Matej Lieskovský:
Better Algorithms for Online Bin Stretching via Computer Search. - Mitch Terrell, Yixuan Wang, Matt Dorow, Soumya Agrawal, Bhaargav Sriraman, Zach Leidall, Abhishek Chandra, Jon B. Weissman:
Constellation: An Edge-Based Semantic Runtime System for Internet of Things Applications. - Zoubeir Mlika, Soumaya Cherkaoui:
Competitive Algorithms and Reinforcement Learning for NOMA in IoT Networks. - Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal:
Planning and Learning with Adaptive Lookahead. - Adam Yala, Victor Quach, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Muriel Médard, Tommi S. Jaakkola, Regina Barzilay:
Syfer: Neural Obfuscation for Private Data Release. - Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou:
Schema-Free Dependency Parsing via Sequence Generation. - Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe:
Networked Restless Multi-Armed Bandits for Mobile Interventions. - Ulrich Rückert, Srinivas Sunkara, Abhinav Rastogi, Sushant Prakash, Pranav Khaitan:
A Unified Approach to Entity-Centric Context Tracking in Social Conversations. - Ryan R. Strauss, Junier B. Oliva:
Any Variational Autoencoder Can Do Arbitrary Conditioning. - Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen:
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. - Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu:
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. - Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri:
Electra: Conditional Generative Model based Predicate-Aware Query Approximation. - Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. - Ruofan Liang, Hongyi Sun, Nandita Vijaykumar:
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture. - Isabeau Prémont-Schwarz, Jaroslav Vitku, Jan Feyereisl:
A Simple Guard for Learned Optimizers. - Haonan Yu, Wei Xu, Haichao Zhang:
Towards Safe Reinforcement Learning with a Safety Editor Policy. - Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman:
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. - Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. - Yuhang Yao, Carlee Joe-Wong:
FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks. - Haonan Yu, Haichao Zhang, Wei Xu:
Do You Need the Entropy Reward (in Practice)? - Keane Lucas, Ross E. Allen:
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. - Brent Griffin:
Task-Focused Few-Shot Object Detection for Robot Manipulation. - Prajjwal Bhargava, Vincent Ng:
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey. - Naftaly H. Minsky:
Discriminating Defense Against DDoS Attacks; a Novel Approach. - Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi:
Certifying Model Accuracy under Distribution Shifts. - William Merrill, Nikolaos Tsilivis:
Extracting Finite Automata from RNNs Using State Merging. - Erik D. Demaine, Kritkorn Karntikoon:
Unfolding Orthotubes with a Dual Hamiltonian Path. - Daniel Gibney, Sharma V. Thankachan, Srinivas Aluru:
The Complexity of Approximate Pattern Matching on De Bruijn Graphs. - Hui Huang, Jinniao Qiu, Konstantin Riedl:
On the Global Convergence of Particle Swarm Optimization Methods. - Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan A. Plummer, Kate Saenko:
Explaining Reinforcement Learning Policies through Counterfactual Trajectories. - Deborah S. Katz, Christopher Steven Timperley, Claire Le Goues:
Using Dynamic Binary Instrumentation to Detect Failures in Robotics Software. - Jacob Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. - Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin:
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. - Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas:
Symbolic-Numeric Integration of Univariate Expressions based on Sparse Regression. - Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He:
ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise. - Fred Wiffen, Woon Hau Chin, Angela Doufexi:
Distributed Dimension Reduction for Distributed Massive MIMO C-RAN with Finite Fronthaul Capacity. - Jiakun Liu, Shuo Shao, Wenyi Zhang, H. Vincent Poor:
An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation. - Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand:
Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures. - Feng Li, Xuyang Yuan, Lina Wang, Huan Yang, Dongxiao Yu, Weifeng Lv, Xiuzhen Cheng:
Collaborative Learning in General Graphs with Limited Memorization: Learnability, Complexity and Reliability. - Angelina Brilliantova, Hadi Hosseini:
Fair Stable Matching Meets Correlated Preferences. - Ngoc Bui, Duy Nguyen, Viet Anh Nguyen:
Counterfactual Plans under Distributional Ambiguity. - Haizhou Du, Ryan Yang, Yijian Chen, Qiao Xiang, Andre Wibisono, Wei Huang:
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions. - Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng:
A Context-Integrated Transformer-Based Neural Network for Auction Design. - Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor:
Random Orthogonalization for Federated Learning in Massive MIMO Systems. - Ahmad Mozaffer Karim:
A new Sparse Auto-encoder based Framework using Grey Wolf Optimizer for Data Classification Problem. - Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman:
Investigating Why Contrastive Learning Benefits Robustness Against Label Noise. - Alexander Gribov, Khalid Duri:
Reconstruction of Power Lines from Point Clouds. - Ibraheem Muhammad Moosa, Mahmud Elahi Akhter, Ashfia Binte Habib:
Does Transliteration Help Multilingual Language Modeling? - Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Summarization with Customized Granularities. - Yunfang Fu, Qiuqi Ruan, Ziyan Luo, Gaoyun An, Yi Jin, Jun Wan:
2D+3D facial expression recognition via embedded tensor manifold regularization. - Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao:
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Amaç Herdagdelen, Lada A. Adamic, Bogdan State:
The Geography of Facebook Groups in the United States. - Kosuke Akita, Yuto Miyatake, Daisuke Furihata:
Composing a surrogate observation operator for sequential data assimilation. - Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen:
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications. - Yuheng Lei, Jianyu Chen, Shengbo Eben Li, Sifa Zheng:
Zeroth-Order Actor-Critic. - Shoule Wu, Ziqiang Shi:
ItôWave: Itô Stochastic Differential Equation Is All You Need For Wave Generation. - Hao Liu, Huaping Liu:
Continual Learning with Recursive Gradient Optimization. - Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures. - Jie Li, Ling Han, Cong Zhang, Qiyue Li, Zhi Liu:
Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback. - Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang:
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. - Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. - Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang:
Rethinking Adjacent Dependency in Session-based Recommendations. - Xiao Huo, Dongyang Jin, Saiping Zhang, Fuzheng Yang:
Light field Rectification based on relative pose estimation. - Jiaan Wang, Beiqi Zou, Zhixu Li, Jianfeng Qu, Pengpeng Zhao, An Liu, Lei Zhao:
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks. - Sinan Wang, Yibo Wang, Xian Zhan, Ying Wang, Yepang Liu, Xiapu Luo, Shing-Chi Cheung:
Aper: Evolution-Aware Runtime Permission Misuse Detection for Android Apps. - Yue Song, Nicu Sebe, Wei Wang:
Fast Differentiable Matrix Square Root and Inverse Square Root. - Dexter I. Mercurio, Alexander A. Hernandez:
An Open Data and Geo-based Information Systems. - Yizheng Huang, Nana Hou, Nancy F. Chen:
Progressive Continual Learning for Spoken Keyword Spotting. - Cheol Jeong, Chang-Jae Chun, Won-Yong Shin, Il-Min Kim:
Transport Capacity Optimization for Resource Allocation in Tera-IoT Networks. - Xiang Chen, Xiaojun Wan:
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis. - Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian:
The KFIoU Loss for Rotated Object Detection. - Sungmin Cha, Soonwon Hong, Moontae Lee, Taesup Moon:
Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning. - Mathieu Dubied, Mike Yan Michelis, Andrew Spielberg, Robert K. Katzschmann:
Sim-to-Real for Projective Dynamics on Soft Robots via Differentiability: Meshing, Damping, and Actuation. - Daniel Perez, Lewis Gudgeon:
Dissimilar Redundancy in DeFi. - Guangji Chen, Qingqing Wu, Chong He, Wen Chen, Jie Tang, Shi Jin:
Active IRS Aided Multiple Access for Energy-Constrained IoT Systems. - Ziyi Chen, Hua Hua, Yuxiang Zhang, Ming Li, Pengyuan Zhang:
The HCCL-DKU system for fake audio generation task of the 2022 ICASSP ADD Challenge. - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Le Processus Powered Dirichlet-Hawkes comme A Priori Flexible pour Clustering Temporel de Textes. - Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. - Yinfeng Sun, Dapeng Xia, Zichun Gao, Zhenhao Wang, Guoqing Li, Weihua Lu, Xueguang Wu, Yang Li:
Probabilistic Power Flow Calculation of AC/DC Hybrid System Based on Cumulant Method. - Keehang Kwon, Hyung-Joon Kwon:
Logical Pseudocode: Connecting Algorithms with Proofs. - Jinbo Xing, Wenbo Hu, Tien-Tsin Wong:
Scale-arbitrary Invertible Image Downscaling. - John Chiang:
A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference). - Xiaoyang Li, Fan Liu, Ziqin Zhou, Guangxu Zhu, Shuai Wang, Kaibin Huang, Yi Gong:
Integrated Sensing and Over-the-Air Computation: Dual-Functional MIMO Beamforming Design. - Ziqin Zhou, Xiaoyang Li, Changsheng You, Kaibin Huang, Yi Gong:
Joint Sensing and Communication Rates Control for Energy Efficient Mobile Crowd Sensing. - Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. - Yanrong Zhang, Jie Shen:
A generalized SAV approach with relaxation for dissipative systems. - Christopher Blöcker, Juan Carlos Nieves, Martin Rosvall:
Map Equation Centrality: A Community-Aware Centrality Score Based on the Map Equation. - Jiangjun Peng, Yao Wang, Hongying Zhang, Jianjun Wang, Deyu Meng:
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. - Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo:
Robust Imitation Learning from Corrupted Demonstrations. - Zejun Li, Zhihao Fan, Huaixiao Tou, Zhongyu Wei:
MVP: Multi-Stage Vision-Language Pre-Training via Multi-Level Semantic Alignment. - Qizheng Sun, Caili Guo, Yang Yang, Jiujiu Chen, Xijun Xue:
Semantic-assisted image compression. - Chuan-Yung Tsai, Graham W. Taylor:
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software. - Elahe Arani, Fahad Sarfraz, Bahram Zonooz:
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System. - I-Hsi Kao, Jian-an Su, Jau-Woei Perng:
Design of Outdoor Autonomous Moble Robot. - Fei Gao, Peng Geng, Jiaqi Guo, Yuan Liu, Dingfeng Guo, Yabo Su, Jie Zhou, Xiao Wei, Jin Li, Xu Liu:
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving. - (Withdrawn) On Non-Cooperative Perfect Information Semi-Markov Games.
- Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Fabián E. Bustamante, Ben Livshits:
BatteryLab: A Collaborative Platform for Power Monitoring. - Muhammad Asim Khan, Lan Hong, Sajjad Ahmed:
Hand Gesture Recognition of Dumb Person Using one Against All Neural Network. - Shaiban Ahmed, David Le, Taeyoon Son, Tobiloba Adejumo, Xincheng Yao:
ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence Tomography. - Joseph Gesnouin, Steve Pechberti, Bogdan Stanciulescu, Fabien Moutarde:
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors. - Simiao Ren, Yang Deng, Willie J. Padilla, Jordan M. Malof:
Hyperparameter-free deep active learning for regression problems via query synthesis. - Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing:
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels. - Pedro P. Ladeira, Leandro M. de Lima, Renato A. Krohling:
A visualization tool for data analysis on higher education dropout: a case study at UFES. - Zifan Wang, Michael F. Hyland, Younghun Bahk, Navjyoth J. S. Sarma:
On Optimizing Shared-ride Mobility Services with Walking Legs. - Loïc Pauletto, Massih-Reza Amini, Nicolas Winckler:
Self Semi Supervised Neural Architecture Search for Semantic Segmentation. - Vahid R. Asadi, Marco L. Carmosino, MohammadMahdi Jahanara, Akbar Rafiey, Bahar Salamatian:
Private Boosted Decision Trees via Smooth Re-Weighting. - Sina Khanagha:
Transfer Learning for Estimation of Pendubot Angular Position Using Deep Neural Networks. - Delia Garijo, Alberto Márquez, Rafael Robles:
New results on the robust coloring problem. - Hossein Abedsoltan, Zeinab Zoghi, Amir H. Mohammadi:
Prediction of terephthalic acid (TPA) yield in aqueous hydrolysis of polyethylene terephthalate (PET). - Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob N. Foerster:
Learning to Coordinate with Humans using Action Features. - Asil Koç, Mike Wang, Tho Le-Ngoc:
Deep Learning based Multi-User Power Allocation and Hybrid Precoding in Massive MIMO Systems. - Asil Koç, Ahmed Masmoudi, Tho Le-Ngoc:
Full-Duplex Non-Coherent Communications for Massive MIMO Systems with Analog Beamforming. - Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg:
Fair ranking: a critical review, challenges, and future directions. - Venera Khoromskaia, Boris N. Khoromskij:
Reduced Higher Order SVD: ubiquitous rank-reduction method in tensor-based scientific computing. - Mustafa Mhamed, Richard F. E. Sutcliffe, Xia Sun, Jun Feng, Eiad Almekhlafi, Ephrem A. Retta:
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets. - Conor O'Brien, Arvind Thiagarajan, Sourav Das, Rafael Barreto, Chetan Verma, Tim Hsu, James Neufeld, Jonathan J. Hunt:
Challenges and approaches to privacy preserving post-click conversion prediction. - Minghao Yan, Nicholas Meisburger, Tharun Medini, Anshumali Shrivastava:
Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity. - Reza Namazi, Elahe Ghalebi, Sinead Williamson, Hamidreza Mahyar:
SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework. - Marco Rasetto, Qingzhou Wan, Himanshu Akolkar, Bertram E. Shi, Feng Xiong, Ryad Benosman:
The Challenges Ahead for Bio-inspired Neuromorphic Event Processors: How Memristors Dynamic Properties Could Revolutionize Machine Learning. - Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon:
Rewiring with Positional Encodings for Graph Neural Networks. - Liam Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojtek Czaja, Micah Goldblum, Tom Goldstein:
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. - Xiaoyi Zhu, Asil Koç, Robert Morawski, Tho Le-Ngoc:
A Deep Learning and Geospatial Data-Based Channel Estimation Technique for Hybrid Massive MIMO Systems. - Ryan McKenna, Brett Mullins, Daniel Sheldon, Gerome Miklau:
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data. - Alasdair Paren, Leonard Berrada, Rudra P. K. Poudel, M. Pawan Kumar:
A Stochastic Bundle Method for Interpolating Networks. - Yuandong Tian:
Deep Contrastive Learning is Provably (almost) Principal Component Analysis. - Baris Serim, Michiel M. A. Spapé, Giulio Jacucci:
Revisiting Embodiment for Brain-Computer Interfaces. - Temirlan Kurbanov, Marek Cuchý, Jirí Vokrínek:
Fast One-to-Many Multicriteria Shortest Path Search. - Sejoon Oh, Srijan Kumar:
Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations. - Meiqing Li, Hao Sheng:
Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches. - Morteza Taiebat, Elham Amini, Ming Xu:
Sharing Behavior in Ride-hailing Trips: A Machine Learning Inference Approach. - Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. - Chenghao Huang, Weilong Chen, Yuxi Chen, Shunji Yang, Yanru Zhang:
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning. - Shuai Wang, Ruihua Han, Yuncong Hong, Qi Hao, Miaowen Wen, Leila Musavian, Shahid Mumtaz, Derrick Wing Kwan Ng:
Robotic Wireless Energy Transfer in Dynamic Environments: System Design and Experimental Validation. - Nyle Siddiqui, Rushit Dave, Tyler Bauer, Thomas Reither, Dylan Black, Mitchell Hanson:
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation. - Hongbing Zhang, Xinyi Liu, Hongtao Fan, Yajing Li, Yinlin Ye:
Tensor Recovery Based on Tensor Equivalent Minimax-Concave Penalty. - Sepehr Assadi, Vihan Shah:
An Asymptotically Optimal Algorithm for Maximum Matching in Dynamic Streams. - Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning. - Zicheng Ye, Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma:
The Complete SC-invariant Affine Automorphisms of Polar Codes. - Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal:
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration. - Xing Xu, Rongpeng Li, Zhifeng Zhao, Honggang Zhang:
Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning. - Tiancheng Qin, S. Rasoul Etesami, César A. Uribe:
Faster Convergence of Local SGD for Over-Parameterized Models. - Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma:
VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training. - Ziyin Liu, Hanlin Zhang, Xiangming Meng, Yuting Lu, Eric P. Xing, Masahito Ueda:
Stochastic Neural Networks with Infinite Width are Deterministic. - Bicheng Guo, Shibo He, Tao Chen, Jiming Chen, Peng Ye:
Neural Architecture Ranker. - Ziaur Rahman, Xun Yi, Ibrahim Khalil:
Blockchain based AI-enabled Industry 4.0 CPS Protection against Advanced Persistent Threat. - Xianye Ben, Yi Ren, Junping Zhang, Su-Jing Wang, Kidiyo Kpalma, Weixiao Meng, Yong-Jin Liu:
Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. - Wenda Chu, Linyi Li, Bo Li:
TPC: Transformation-Specific Smoothing for Point Cloud Models. - Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou:
No-Regret Learning in Time-Varying Zero-Sum Games. - Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. - Yexiong Lin, Yu Yao, Yuxuan Du, Jun Yu, Bo Han, Mingming Gong, Tongliang Liu:
Do We Need to Penalize Variance of Losses for Learning with Label Noise? - Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin:
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. - Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang:
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. - Francisco Pernice, Ray Li, Mary Wootters:
Efficient Near-Optimal Codes for General Repeat Channels. - Nadav Timor, Gal Vardi, Ohad Shamir:
Implicit Regularization Towards Rank Minimization in ReLU Networks. - Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang:
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. - Yong Guo, David Stutz, Bernt Schiele:
Improving Corruption and Adversarial Robustness by Enhancing Weak Subnets. - Haris Moazam Sheikh, Philip S. Marcus:
Bayesian Optimization For Multi-Objective Mixed-Variable Problems. - Chuanyu Luo, Xiaohan Li, Nuo Cheng, Han Li, Shengguang Lei, Pu Li:
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds. - Jannik Zürn, Wolfram Burgard:
Self-Supervised Moving Vehicle Detection from Audio-Visual Cues. - Penghui Yao, Yitong Yin, Xinyuan Zhang:
Polynomial-Time Approximation of Zero-Free Partition Functions. - Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, Shihua Yuan:
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments. - Liqun Qi, David M. Alexander, Zhongming Chen, Chen Ling, Ziyan Luo:
Low Rank Approximation of Dual Complex Matrices. - Misato Horiuchi, Yuya Sasaki, Chuan Xiao, Makoto Onizuka:
Similarity Search on Computational Notebooks. - Wonpyo Park, Woonggi Chang, Donggeon Lee, Juntae Kim:
Graph Self-Attention for learning graph representation with Transformer. - (Withdrawn) Solving Routing Problems via Important Cuts.
- Boyi Jiang, Yang Hong, Hujun Bao, Juyong Zhang:
SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video. - Hossein Hassani:
Part of Speech Tagging (POST) of a Low-resource Language using another Language (Developing a POS-Tagged Lexicon for Kurdish (Sorani) using a Tagged Persian (Farsi) Corpus). - Carles Roger Riera Molina, Camilo Rey, Thiago Serra, Eloi Puertas, Oriol Pujol:
Training Thinner and Deeper Neural Networks: Jumpstart Regularization. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Co-Regularized Adversarial Learning for Multi-Domain Text Classification. - Scott Pezanowski, Prasenjit Mitra:
Recognition of Implicit Geographic Movement in Text. - Nayara Fonseca, Veronica Guidetti:
Similarity and Generalization: From Noise to Corruption. - Garvit Chhabra, J. H. Gagan, J. R. Harish Kumar:
Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images. - Minglun Han, Linhao Dong, Zhenlin Liang, Meng Cai, Shiyu Zhou, Zejun Ma, Bo Xu:
Improving End-to-End Contextual Speech Recognition with Fine-grained Contextual Knowledge Selection. - Vijeth Aradhya, Seth Gilbert, Aquinas Hobor:
OverChain: Building a robust overlay with a blockchain. - Soumitri Chattopadhyay, Aritra Marik, Rishav Pramanik:
A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques. - Tony T. Lee, Bojun Lu, Hanli Chu:
A DFS Algorithm for Maximum Matchings in General Graphs. - Ryan McCloy, Yifeng Li, Jie Bao, Maria Skyllas-Kazacos:
Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework. - André Correia, Luís A. Alexandre:
Contrastive Learning from Demonstrations. - Lai Wei, Ryan McCloy, Jie Bao:
Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks. - Andrei Aksjonov, Ville Kyrki:
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms. - Michaël Aupetit, Ahmed Ali:
ClassSPLOM - A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data. - Eric Qu, Dongmian Zou:
Hyperbolic Neural Networks for Molecular Generation. - Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji:
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. - Harshit Singh Chhabra, Koteswar Rao Jerripothula:
Comprehensive Saliency Fusion for Object Co-segmentation. - Peter Bishop, Andrey Povyakalo:
Optimising the reliability that can be claimed for a software-based system based on failure-free tests of its components. - Fang Sun:
Over-smoothing Effect of Graph Convolutional Networks. - Jingwen Li, Leander Girrbach:
Word Segmentation and Morphological Parsing for Sanskrit. - (Withdrawn) Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning.
- Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Avi Mendelson:
On Recoverability of Graph Neural Network Representations. - Guilong Li, Yixian Chen, Qionghua Liao, Zhaocheng He:
Potential Destination Prediction Based on Knowledge Graph Under Low Predictability Data Condition. - Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià:
Deep Non-Crossing Quantiles through the Partial Derivative. - Hyunjun Kim, JeongGil Ko:
Fast Monte-Carlo Approximation of the Attention Mechanism. - Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber:
Augmented Business Process Management Systems: A Research Manifesto. - Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato:
Fast Relative Entropy Coding with A* coding. - Jens Oliver Gutsfeld, Markus Müller-Olm, Christoph Ohrem:
Deciding Asynchronous Hyperproperties for Recursive Programs. - Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang:
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals. - Wei Ren, Junlin Xiong:
Lyapunov Conditions for Input-to-State Stability of Hybrid Systems with Memory. - Chih-Chiang Chang, Shun-Po Chuang, Hung-yi Lee:
Anticipation-free Training for Simultaneous Translation. - Kanstantsin Pashkovich, Xinyue Xie:
A Two-Step Approach to Optimal Dynamic Pricing in Multi-Demand Combinatorial Markets. - Qianghui Xiao:
General 2-path Problem. - Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua:
Discovering Invariant Rationales for Graph Neural Networks. - Robert Krauthgamer, Shay Sapir:
Comparison of Matrix Norm Sparsification. - Yafei Wu, Jian Shi, Peicheng Wang, Dongrui Zeng, Cong Sun:
DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection. - Nicholas Pecka, Lotfi Ben Othmane, Altaz Valani:
Making Secure Software Insecure without Changing Its Code: The Possibilities and Impacts of Attacks on the DevOps Pipeline. - Romaric Duvignau, Michel Raynal, Elad Michael Schiller:
Self-stabilizing Byzantine-tolerant Broadcast. - Pál András Papp, Roger Wattenhofer:
A Theoretical Comparison of Graph Neural Network Extensions. - Michael T. Cox, Zahiduddin Mohammad, Sravya Kondrakunta, Ventaksamapth Raja Gogineni, Dustin Dannenhauer, Othalia Larue:
Computational Metacognition. - Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski:
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. - Deepak Gupta, Kush Attal, Dina Demner-Fushman:
A Dataset for Medical Instructional Video Classification and Question Answering. - Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Mohamed Chetouani, Francisco C. Santos:
Learning Collective Action under Risk Diversity. - Jens Helge Reelfs, Oliver Hohlfeld, Niklas Henckell:
Differences in Social Media Usage Exist Between Western and Middle-East Countries. - Ruizhi Cheng, Nan Wu, Songqing Chen, Bo Han:
Will Metaverse be NextG Internet? Vision, Hype, and Reality. - Angelos Toytziaridis, Paolo Falcone, Jonas Sjöberg:
Road User Position Prediction in Urban Environments via Locally Weighted Learning. - Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt:
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers. - Usama Masood, Hasan Farooq, Ali Imran, Adnan A. Abu-Dayya:
Interpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networks. - Matin Macktoobian, Zhan Shu, Qing Zhao:
OpTopNET: A Learning Optimal Topology Synthesizer for Ad-hoc Robot Networks. - Shubham Chandel, Colin B. Clement, Guillermo Serrato, Neel Sundaresan:
Training and Evaluating a Jupyter Notebook Data Science Assistant. - Krushi Patel, Andres M. Bur, Fengjun Li, Guanghui Wang:
Aggregating Global Features into Local Vision Transformer. - Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet:
COIN++: Data Agnostic Neural Compression. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Modularity-based Backbone Extraction in Weighted Complex Networks. - Fenghuan He:
A Topological Centrality Measure for Directed Networks. - Tomojit Ghosh, Michael Kirby:
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection. - Kyle Mahowald, Evgeniia Diachek, Edward Gibson, Evelina Fedorenko, Richard Futrell:
Grammatical cues are largely, but not completely, redundant with word meanings in natural language. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Investigating Centrality Measures in Social Networks with Community Structure. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
How Correlated are Community-aware and Classical Centrality Measures in Complex Networks? - Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao:
Provable Domain Generalization via Invariant-Feature Subspace Recovery. - Petra Berenbrink, Martin Hoefer, Dominik Kaaser, Pascal Lenzner, Malin Rau, Daniel Schmand:
Asynchronous Opinion Dynamics in Social Networks. - Ekin Akyürek, Jacob Andreas:
Compositionality as Lexical Symmetry. - Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer:
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. - Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. - Arya Prakash Padhi, Souvik Chakraborty, Anupam Chakrabarti, Rajib Chowdhury:
Efficient hybrid topology optimization using GPU and homogenization based multigrid approach. - Mycal Tucker, William Kuhl, Khizer Shahid, Seth Karten, Katia P. Sycara, Julie Shah:
Probe-Based Interventions for Modifying Agent Behavior. - Julian von Schleinitz, Thomas Schwarzhuber, Lukas Wörle, Michael Graf, Arno Eichberger, Wolfgang Trutschnig, Andreas Schröder:
Race Driver Evaluation at a Driving Simulator using a physical Model and a Machine Learning Approach. - Ke-Xin Li, Jiaheng Wang, Xiqi Gao, Christos G. Tsinos, Björn E. Ottersten:
Uplink Transmit Design for Massive MIMO LEO Satellite Communications. - Taraneh Ghandi, Hamidreza Pourreza, Hamidreza Mahyar:
Deep Learning Approaches on Image Captioning: A Review. - Dennis M. Volpano:
Network Programming via Computable Products. - Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang:
Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems. - Amin Ghiasi, Hamid Kazemi, Steven Reich, Chen Zhu, Micah Goldblum, Tom Goldstein:
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations. - Martin F. Schubert, Alfred K. C. Cheung, Ian A. D. Williamson, Aleksandra Spyra, David H. Alexander:
Inverse design of photonic devices with strict foundry fabrication constraints. - Faranak Khosravi, Mehdi Tarhani, Shivani Kurle, Mehdi Shadaram:
Implementation of an Elastic Reconfigurable Optical Add/Drop Multiplexer based on Subcarriers for Application in Optical Multichannel Networks. - Jung-Hun Kim, Milan Vojnovic, Se-Young Yun:
Rotting infinitely many-armed bandits. - Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. - Jian Wen, Xuebo Zhang, Hui Liu, Haoyue Liu, Jing Yuan, Yongchun Fang:
G2VD Planner: An Efficient Motion Planning Approach With Grid-based Generalized Voronoi Diagrams. - Siqi Miao, Miaoyuan Liu, Pan Li:
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism. - Pedro Soto, Ilia Ilmer, Haibin Guan, Jun Li:
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent. - Mahyar Shirvanimoghaddam, Yifeng Gao, Aradhika Guha, Ayoob Salari:
Federated Learning with Erroneous Communication Links. - Lise-Marie Imbert-Gérard, Guillaume Sylvand:
Three types of quasi-Trefftz functions for the 3D convected Helmholtz equation: construction and theoretical approximation properties. - Guanyu Cui, Zhewei Wei:
GSN: A Universal Graph Neural Network Inspired by Spring Network. - Yong Shang, Fei Wang, Jingbo Sun:
Deep Petrov-Galerkin Method for Solving Partial Differential Equations. - Jayanta Dey, Ashwin De Silva, Will LeVine, Jong M. Shin, Haoyin Xu, Ali Geisa, Tiffany Chu, Leyla Isik, Joshua T. Vogelstein:
Out-of-distribution Detection Using Kernel Density Polytopes. - Shun Watanabe:
On Sub-optimality of Random Binning for Distributed Hypothesis Testing. - Zhen Peng, Minjia Zhang, Kai Li, Ruoming Jin, Bin Ren:
Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism. - Grant Dasher, Ines Envid, Brad Calder:
Architectures for Protecting Cloud Data Planes. - Zeke Xie, Qian-Yuan Tang, Yunfeng Cai, Mingming Sun, Ping Li:
On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science. - Bradley J. Nelson, Yuan Luo:
Topology-Preserving Dimensionality Reduction via Interleaving Optimization. - Yixin Zhuang:
Filtering In Implicit Neural Networks. - Jithin Kallukalam Sojan, K. Haribabu:
Monitoring Jitter in Software Defined Networks. - Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem:
On the Robustness of Quality Measures for GANs. - Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. - Jiayan Guo, Shangyang Li, Yue Zhao, Yan Zhang:
Learning Robust Representation through Graph Adversarial Contrastive Learning. - Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. - Shashi Ranjan, Pranav Jha, Abhay Karandikar, Prasanna Chaporkar:
A Flexible IAB Architecture for Beyond 5G Network. - Nishanth Rao, Suresh Sundaram:
Integrated Decision Control Approach for Cooperative Safety-Critical Payload Transport in a Cluttered Environment. - Sicheng Zhou, Rui Zhang, Anne H. Blaes, Chetan Shenoy, György J. Simon:
Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients. - Guosheng Fu:
A high-order velocity-based discontinuous Galerkin scheme for the shallow water equations: local conservation, entropy stability, well-balanced property, and positivity preservation. - Yuliang He, Duo Lu, Kaisong Huang, Tianzheng Wang:
Evaluating Persistent Memory Range Indexes: Part Two. - Pini Zilber, Boaz Nadler:
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm. - David Monniaux:
The complexity gap in the static analysis of cache accesses grows if procedure calls are added. - Maria Korosteleva, Sung-Hee Lee:
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments. - Angelina Mooseder, Momin M. Malik, Hemank Lamba, Earth Erowid, Sylvia Thyssen, Jürgen Pfeffer:
Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. - Lucas Brynte, Georg Bökman, Axel Flinth, Fredrik Kahl:
Rigidity Preserving Image Transformations and Equivariance in Perspective. - Zahra Soleimanitaleb, Mohammad Ali Keyvanrad:
Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics. - Avital Friedland, Jonathan Zeltser, Omer Levy:
Are Mutually Intelligible Languages Easier to Translate? - Ivana Balazevic:
Learning Representations of Entities and Relations. - Kavyashree U, K. N. Deeksha, Suma Ballal, Vitina Mary Dsouza, Rama Moorthy H:
An Overview of Various Biometric Approaches: ECG One of its Trait. - Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. - Riccardo Angelo Giro, Giancarlo Bernasconi, Giuseppe Giunta, Simone Cesari:
Jet noise characterization for advanced pipeline leak detection. - Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction. - Christian Rathgeb, Robert Nichols, Mathias Ibsen, Pawel Drozdowski, Christoph Busch:
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions. - Tianyue Chu, Álvaro García-Recuero, Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris:
Securing Federated Sensitive Topic Classification against Poisoning Attacks. - Beatrice Acciaio, Anastasis Kratsios, Gudmund Pammer:
Metric Hypertransformers are Universal Adapted Maps. - Elias Frantar, Dan Alistarh:
SPDY: Accurate Pruning with Speedup Guarantees. - Lorenzo Balzotti, Paolo Giulio Franciosa:
Max Flow Vitality of Edges and Vertices in Undirected Planar Graphs. - Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek:
Adversarial Masking for Self-Supervised Learning. - Maged AbdelAty, Sandra Scott-Hayward, Roberto Doriguzzi Corin, Domenico Siracusa:
GADoT: GAN-based Adversarial Training for Robust DDoS Attack Detection. - Christof Naumzik, Stefan Feuerriegel:
Detecting False Rumors from Retweet Dynamics on Social Media. - Federico Adolfi, Todd Wareham, Iris van Rooij:
Computational Complexity of Segmentation. - Harshdeep Singh, Kapish Chand Meena:
Multi-twisted Reed-Solomon codes with small dimensional hull. - Hans L. Bodlaender, Carla Groenland, Hugo Jacob:
XNLP-completeness for Parameterized Problems on Graphs with a Linear Structure. - Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang:
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. - Prathamesh Kalamkar, Aman Tiwari, Astha Agarwal, Saurabh Karn, Smita Gupta, Vivek Raghavan, Ashutosh Modi:
Corpus for Automatic Structuring of Legal Documents. - Masahiro Kato, Masaaki Imaizumi, Kentaro Minami:
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics. - Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Deletion Robust Submodular Maximization over Matroids. - Xiaomin Zhang, Xucheng Zhang, Po-Ling Loh, Yingyu Liang:
On the identifiability of mixtures of ranking models. - Maël Dumas, Anthony Perez, Mathis Rocton, Ioan Todinca:
Polynomial kernels for edge modification problems towards block and strictly chordal graphs. - Jiaying Guo, Long Cheng, Shen Wang:
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning. - Maarten Grachten, Carlos Cancino Chacón, Thassilo Gadermaier:
partitura: A Python Package for Handling Symbolic Musical Data. - Marco Cesati:
A new idea for RSA backdoors. - Shany Shumeli, Petros Drineas, Haim Avron:
Low-Rank Updates of Matrix Square Roots. - Augusto Peres, Eduardo Dias, Luís Sarmento, Hugo Penedones:
Equivariant neural networks for recovery of Hadamard matrices. - Anja Rey, Lisa Rey:
FEN-Hedonic Games with Distance-Based Preferences. - Luis Gerhorst, Benedict Herzog, Stefan Reif, Wolfgang Schröder-Preikschat, Timo Hönig:
AnyCall: Fast and Flexible System-Call Aggregation. - Alexandre Anahory Simões, Sebastián J. Ferraro, Juan Carlos Marrero, David Martín de Diego:
Nonholonomic Newmark method. - Mingfu Xue, Shifeng Ni, Yinghao Wu, Yushu Zhang, Jian Wang, Weiqiang Liu:
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks. - Xiaorong Wang, Xiaodi Zhang:
Decoupled, linear, unconditionally energy stable and charge-conservative finite element method for a inductionless magnetohydrodynamic phase-field model. - Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation. - Sander Beckers:
Causal Explanations and XAI. - Tal Lancewicki, Aviv Rosenberg, Yishay Mansour:
Cooperative Online Learning in Stochastic and Adversarial MDPs. - Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg:
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. - Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta:
Leela Zero Score: a Study of a Score-based AlphaGo Zero. - Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia:
Few-Shot Backdoor Attacks on Visual Object Tracking. - Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Learning on Arbitrary Graph Topologies via Predictive Coding. - Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis:
Learning Super-Features for Image Retrieval. - Daniel Gerth:
A note on numerical singular values of compositions with non-compact operators. - AmirHosein Sadeghimanesh, Matthew England:
Resultant Tools for Parametric Polynomial Systems with Application to Population Models. - Saeed Hadadan, Matthias Zwicker:
Differentiable Neural Radiosity. - (Withdrawn) Compactness Score: A Fast Filter Method for Unsupervised Feature Selection.
- Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets:
Memory-Efficient Backpropagation through Large Linear Layers. - Yi Rong, Reza Rawassizadeh:
ODSearch: A Fast and Resource Efficient On-device Information Retrieval for Mobile and Wearable Devices. - Alexandre L. M. Levada:
The Curvature Effect in Gaussian Random Fields. - Tom Hess, Ron Visbord, Sivan Sabato:
Fast Distributed k-Means with a Small Number of Rounds. - André Teófilo Beck, Lucas da Rosa Ribeiro, Marcos A. Valdebenito, Hector A. Jensen:
Risk-based Design of Regular Plane Frames Subject to Damage by Abnormal Events: a Conceptual Study. - Florian Auer, Johann Frei, Dominik Müller, Frank Kramer:
Perspective on Code Submission and Automated Evaluation Platforms for University Teaching. - A. M. A. Alsnayyan, Leo C. Kempel, B. Shanker:
A Complete Helmholtz Decomposition on Multiply Connected Subdivision Surfaces and Its Application to Integral Equations. - David Piorkowski, John T. Richards, Michael Hind:
Evaluating a Methodology for Increasing AI Transparency: A Case Study. - Leslie Ching Ow Tiong, HeeJeong Jasmine Lee, Kai Li Lim:
Online Assessment Misconduct Detection using Internet Protocol and Behavioural Classification. - Mnacho Echenim, Nicolas Peltier:
A Proof Procedure For Separation Logic With Inductive Definitions and Theory Reasoning. - Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head:
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study. - Ádám Kovács, Kinga Gémes, Eszter Iklódi, Gábor Recski:
POTATO: exPlainable infOrmation exTrAcTion framewOrk. - Rogério Rossi, Pollyana Notargiarcomo:
EXSeQETIC: Expert System to Support the Implementation of eQETIC Model. - Tanusree Sharma, Kyrie Zhixuan Zhou, Yun Huang, Yang Wang:
"It's A Blessing and A Curse": Unpacking Creators' Practices with Non-Fungible Tokens (NFTs) and Their Communities. - Hérve Moulinec:
A simple and fast algorithm for computing discrete Voronoi, Johnson-Mehl or Laguerre diagrams of points. - Jing Yue, Jian Li, Wen Zhang:
CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems. - Rohan Sawhney, Dario Seyb, Wojciech Jarosz, Keenan Crane:
Grid-Free Monte Carlo for PDEs with Spatially Varying Coefficients. - Lukas Stankevicius, Mantas Lukosevicius, Jurgita Kapociute-Dzikiene, Monika Briediene, Tomas Krilavicius:
Correcting diacritics and typos with ByT5 transformer model. - Konstantin Merker, Tilman Klaeger, Lukas Oehm:
A holistic approach for rapid development of IIoT systems. - Rituraj Kaushik, Karol Arndt, Ville Kyrki:
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation. - Elena Celledoni, Andrea Leone, Davide Murari, Brynjulf Owren:
Learning Hamiltonians of constrained mechanical systems. - Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio:
Trajectory Balance: Improved Credit Assignment in GFlowNets. - Hans van Haren:
A note on the use of equidistant contours for presenting scientific data. - Mary Scott, Graham Cormode, Carsten Maple:
Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy. - Ihsan Chaoubi, Camille Besse, Hélène Cossette, Marie-Pier Côté:
Micro-level Reserving for General Insurance Claims using a Long Short-Term Memory Network. - Thomas Y. Chen:
PreDefense: Defending Underserved AI Students and Researchers from Predatory Conferences. - Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder. - Niklas Gard, Anna Hilsmann, Peter Eisert:
Combining Local and Global Pose Estimation for Precise Tracking of Similar Objects. - Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann:
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs. - Maged Shoman, Ana Tsui Moreno:
Exploring Preferences for Transportation Modes in the City of Munich after the Recent Incorporation of Ride-Hailing Companies. - Jade Freeman, Michael Rawson:
Top-K Ranking Deep Contextual Bandits for Information Selection Systems. - Aljosha Köcher, Alexander Hayward, Alexander Fay:
Model-Based Engineering of CPPS Functions and Code Generation for Skills. - Tristan Gomez, Thomas Fréour, Harold Mouchère:
Metrics for saliency map evaluation of deep learning explanation methods. - Chryssis Georgiou, Nicolas Nicolaou, Andria Trigeorgi:
Fragmented ARES: Dynamic Storage for Large Objects. - Laura Bishop, Carlos Cancino Chacón, Werner Goebl:
Beyond synchronization: Body gestures and gaze direction in duo performance. - Maryam Nezami, Georg Männel, Hossam Seddik Abbas, Georg Schildbach:
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving. - Van Sy Mai, Richard J. La, Tao Zhang, Abdella Battou:
End-to-End Quality-of-Service Assurance with Autonomous Systems: 5G/6G Case Study. - Kimberly Glasgow, Jonathan Kopecky, John Gersh, Adam Crego:
Won't you see my neighbor?: User predictions, mental models, and similarity-based explanations of AI classifiers. - Alberto Abelló, James Cheney:
Eris: Measuring discord among multidimensional data sources. - Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss, Kenneth N. Reid, Yuan Yuan, Wolfgang Banzhaf:
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework. - Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou:
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. - Maxim Koroteev, Kirill Aistov:
On scale-invariant properties in natural images and their simulations. - Benjamin Longxiang Wang, Sebastian Schelter:
Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items. - Yvonne Alama Bronsard:
Error analysis of a class of semi-discrete schemes for solving the Gross-Pitaevskii equation at low regularity. - Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin:
Hyper-Class Representation of Data. - Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi:
BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression. - Yuming Shen, Jiaguo Yu, Haofeng Zhang, Philip H. S. Torr, Menghan Wang:
Learning to Hash Naturally Sorts. - Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell:
Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents. - Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? - Daniel Weber, Maximilian Schenke, Oliver Wallscheid:
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control. - Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris:
The Metric Distortion of Multiwinner Voting. - Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation. - Stefan Höppner, Yves Haas, Matthias Tichy, Katharina Juhnke:
Advantages and Disadvantages of (Dedicated) Model Transformation Languages A Qualitative Interview Study. - Brandon Paulsen, Chao Wang:
LinSyn: Synthesizing Tight Linear Bounds for Arbitrary Neural Network Activation Functions. - Bing Yao, Fei Ma:
Graph Set-colorings And Hypergraphs In Topological Coding. - Hassam Sheikh, Kizza Frisbee, Mariano Phielipp:
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning. - Nathan Hughes, Yun Chang, Luca Carlone:
Hydra: A Real-time Spatial Perception Engine for 3D Scene Graph Construction and Optimization. - Nils Koster, Oliver Grothe, Achim Rettinger:
Signing the Supermask: Keep, Hide, Invert. - Jad Salem, Deven R. Desai, Swati Gupta:
Don't let Ricci v. DeStefano Hold You Back: A Bias-Aware Legal Solution to the Hiring Paradox. - Michael Shekelyan, Grigorios Loukides:
Differentially Private Top-k Selection via Canonical Lipschitz Mechanism. - O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim:
Neural Network Training with Asymmetric Crosspoint Elements. - Philip Greengard, Jeremy G. Hoskins, Nicholas F. Marshall, Amit Singer:
On a linearization of quadratic Wasserstein distance. - Boxin Zhao, Boxiang Lyu, Mladen Kolar:
L-SVRG and L-Katyusha with Adaptive Sampling. - Davide Mambelli, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, Francesco Locatello:
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks. - Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Mathilde Mougeot:
Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: an application to rubber calendering process. - Tomasz M. Tyranowski:
Data-driven structure-preserving model reduction for stochastic Hamiltonian systems. - (Withdrawn) MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection.
- Liyi Li, Yiyun Liu, Deena L. Postol, Leonidas Lampropoulos, David Van Horn, Michael Hicks:
A Formal Model of Checked C. - Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He:
Neural Collaborative Filtering Bandits via Meta Learning. - Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter:
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. - Alex Berke, Dan Calacci:
Privacy Limitations Of Interest-based Advertising On The Web: A Post-mortem Empirical Analysis Of Google's FLoC. - Angela Meyer:
Vibration Fault Diagnosis in Wind Turbines based on Automated Feature Learning. - Olga Majewska, Evgeniia Razumovskaia, Edoardo Maria Ponti, Ivan Vulic, Anna Korhonen:
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation. - Weichen Huang:
Extreme precipitation forecasting using attention augmented convolutions. - Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin:
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings. - Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio:
Towards Scaling Difference Target Propagation by Learning Backprop Targets. - Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan, James Buchanan, Lynton C. Appel:
GParareal: A time-parallel ODE solver using Gaussian process emulation. - Ziwei Ji, Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp:
Agnostic Learnability of Halfspaces via Logistic Loss. - Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto:
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning. - Armen Kostanyan, Arevik Harmandayan:
Fuzzy Segmentations of a String. - Anuj Pasricha, Yi-Shiuan Tung, Bradley Hayes, Alessandro Roncone:
PokeRRT: Poking as a Skill and Failure Recovery Tactic for Planar Non-Prehensile Manipulation. - Wei Zhao, Steffen Eger:
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations. - Yuval Alaluf, Or Patashnik, Zongze Wu, Asif Zamir, Eli Shechtman, Dani Lischinski, Daniel Cohen-Or:
Third Time's the Charm? Image and Video Editing with StyleGAN3. - Manjushree B. Aithal, Xiaohua Li:
Boundary Defense Against Black-box Adversarial Attacks. - Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske:
Warmth and competence in human-agent cooperation. - Taira Watanabe, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu:
Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging. - Moo K. Chung, Shih-Gu Huang, Ian C. Carroll, Vince D. Calhoun, H. Hill Goldsmith:
Dynamic Persistent Homology for Brain Networks via Wasserstein Graph Clustering. - Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. - Bharat Adsul, Milind A. Sohoni, K. V. Subrahmanyam:
Geometric Complexity Theory - Lie Algebraic Methods for Projective Limits of Stable Points. - Yao Li, Ming Yan:
On the improved conditions for some primal-dual algorithms. - Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan:
Adaptive Single Image Deblurring. - Moi Hoon Yap, Connah Kendrick, Neil D. Reeves, Manu Goyal, Joseph M. Pappachan, Bill Cassidy:
Development of Diabetic Foot Ulcer Datasets: An Overview. - Maitreya Suin, A. N. Rajagopalan:
Dynamic Scene Video Deblurring using Non-Local Attention. - Alexander Prolubnikov:
On the representativeness of approximate solutions of discrete optimization problems with interval cost function. - Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan:
Image Restoration using Feature-guidance. - Jayden L. Macklin-Cordes, Erich R. Round:
Challenges of sampling and how phylogenetic comparative methods help: With a case study of the Pama-Nyungan laminal contrast. - Michel Kulhandjian, Gunes Karabulut-Kurt, Hovannes Kulhandjian, Halim Yanikomeroglu, Claude D'Amours:
NOMA Computation Over Multi-Access Channels for Multimodal Sensing. - Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. - Hesamoddin Hosseini, Reza Monsefi, Shabnam Shadroo:
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review. - Juntao Duan, Ionel Popescu, Heinrich Matzinger:
Recover the spectrum of covariance matrix: a non-asymptotic iterative method. - Warren B. Powell, Saeed Ghadimi:
The Parametric Cost Function Approximation: A new approach for multistage stochastic programming. - Jizhou Li, Bin Chen, Guibin Zan, Guannan Qian, Piero Pianetta, Yijin Liu:
Subspace modeling for fast and high-sensitivity X-ray chemical imaging. - Wendong Gan, Bolong Wen, Ying Yan, Haitao Chen, Zhichao Wang, Hongqiang Du, Lei Xie, Kaixuan Guo, Hai Li:
IQDUBBING: Prosody modeling based on discrete self-supervised speech representation for expressive voice conversion. - Raika Karimi, Arash Mohammadi, Amir Asif, Habib Benali:
DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis. - Shizhou Xu, Thomas Strohmer:
Fair Data Representation for Machine Learning at the Pareto Frontier. - Zefan Yang, Di Lin, Yi Wang:
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation. - Noga Alon:
Implicit representation of sparse hereditary families. - Igor Konnov:
Primal-Dual Method for Optimization Problems with Changing Constraints. - Junfei Shi, Haiyan Jin:
Riemannian Nearest-Regularized Subspace Classification for Polarimetric SAR images. - Juan Arias de Reyna:
High Precision Computation of Riemann's Zeta Function by the Riemann-Siegel Formula, II. - Abbas Kabalan, Francesco Ferrante, Giacomo Casadei, Andrea Cristofaro, Christophe Prieur:
Leader-Follower Synchronization of a Network of Boundary-Controlled Parabolic Equations With In-Domain Coupling. - Javad T. Firouzjaee, Pouriya Khaliliyan:
LSTM Architecture for Oil Stocks Prices Prediction. - Pau Ferrer-Cid, José M. Barceló-Ordinas, Jorge García-Vidal:
Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms. - Linchuan Wei, Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz:
On the convex hull of convex quadratic optimization problems with indicators. - Vladimir Filipovic, Dragan Matic, Aleksandar Kartelj:
Solving the signed Roman domination and signed total Roman domination problems with exact and heuristic methods. - Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang:
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. - Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam:
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules. - Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey A. Niezgoda, Zeyun Yu:
FUSeg: The Foot Ulcer Segmentation Challenge. - Simone Dussi, Chris H. Rycroft:
Less can be more: Insights on the role of electrode microstructure in redox flow batteries from 2D direct numerical simulations. - Qiyuan Liang, Florian Cassayre, Haley Owsianko, Majed El Helou, Sabine Süsstrunk:
Image Denoising with Control over Deep Network Hallucination. - Ohr Kadrawi, Vadim E. Levit, Ron Yosef, Matan Mizrachi:
A Linear Algorithm for Computing Independence Polynomials of Trees. - Saeel S. Pai, Abhijeet Banthiya:
Transfer-learning-based Surrogate Model for Thermal Conductivity of Nanofluids. - Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston H. Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev:
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. - Zhuo Deng, Yuanhao Cai, Lu Chen, Zheng Gong, Qiqi Bao, Xue Yao, Dong Fang, Shaochong Zhang, Lan Ma:
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark. - Wolfgang Mack, Julian Wechsler, Emanuël A. P. Habets:
Signal-Aware Direction-of-Arrival Estimation Using Attention Mechanisms. - Zoltán Kovács, Róbert Vajda:
Parametric Root Finding for Supporting Proving and Discovering Geometric Inequalities in GeoGebra. 167-172 - Matthias Niggli:
'Moving On' - Investigating Inventors' Ethnic Origins Using Supervised Learning. - Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock:
Relating Blindsight and AI: A Review. - Lorin Sweeney, Ana Matran-Fernandez, Sebastian Halder, Alba Garcia Seco de Herrera, Alan F. Smeaton, Graham Healy:
Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability. - Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Learning shared neural manifolds from multi-subject FMRI data. - Tengchan Zeng, Omid Semiari, Walid Saad, Mehdi Bennis:
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM). - Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang:
Uncertainty Detection in EEG Neural Decoding Models. - Shujie Wang, Gongshu Wang, Guangying Pei:
An EEG-based approach for Parkinson's disease diagnosis using Capsule network. - Xingyu Li, Min Cen, Jinfeng Xu, Hong Zhang, Xu Steven Xu:
Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model. - Elisabeth R. M. Heremans, Huy Phan, Amir Hossein Ansari, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten De Vos:
Feature matching as improved transfer learning technique for wearable EEG. - Ajinkya K. Mulay, Sean Lane, Erin Hennes:
PowerGraph: Using neural networks and principal components to multivariate statistical power trade-offs. - Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré:
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe. - Michele Buzzicotti, Fabio Bonaccorso, Luca Biferale:
Inferring Turbulent Parameters via Machine Learning. - Zihuan Qiu, Zhichuan Wang, Miaomiao Zhang, Ziyong Xu, Jie Fan, Linfeng Xu:
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation. - Keith Powell, Andrew L. Yingst, Talha Faizur Rahman, Vuk Marojevic:
Handover Experiments with UAVs: Software Radio Tools and Experimental Research Platform. - Sergey Kirgizov:
Q-bonacci words and numbers. - Puhan Zhang, Sheng Zhang, Gia-Wei Chern:
Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems. - Aaron J. Havens, Darioush Keivan, Peter Seiler, Geir E. Dullerud, Bin Hu:
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control. - Eduardo Reck Miranda, Satvik Venkatesh, José David Martín-Guerrero, Carlos Hernani-Morales, Lucas Lamata, Enrique Solano:
An approach to interfacing the brain with quantum computers: practical steps and caveats. - Varun Mannam, Jacob Brandt, Cody J. Smith, Scott S. Howard:
Low dosage 3D volume fluorescence microscopy imaging using compressive sensing. - Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Deriving discriminative classifiers from generative models. - Michael McCreesh, Jorge Cortés:
Selective Inhibition and Recruitment of Linear-Threshold Thalamocortical Networks. - Eric Samperton:
Topological quantum computation is hyperbolic. - Luca Nenna, Brendan Pass:
Transport type metrics on the space of probability measures involving singular base measures. - Yibin Wang, Abdur Rahman, William Neil Duggar, P. Russell Roberts, Toms V. Thomas, Linkan Bian, Haifeng Wang:
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images. - Erlang Surya, Lutz Warnke:
On the concentration of the chromatic number of random graphs. - Shriya V. Nagpal, Gokul G. Nair, Francesca Parise, C. Lindsay Anderson:
Designing for Robustness in Electric Grids via a General Effective Resistance Measure. - Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille:
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data. - Sruthi Krishna, Suganthi S. S, Shivsubramani Krishnamoorthy, Arnav Bhavsar:
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection. - Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou:
MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution. - Jiayu Shang, Yanni Sun:
CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model. - Tianshuo Xu, Peng Mi, Xiawu Zheng, Lijiang Li, Fei Chao, Guannan Jiang, Wei Zhang, Yiyi Zhou, Rongrong Ji:
What Hinders Perceptual Quality of PSNR-oriented Methods? - Wen Wang, Shihao Wu, Ziwei Zhu, Ling Zhou, Peter X.-K. Song:
Supervised Homogeneity Fusion: a Combinatorial Approach. - Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich:
Gaussian Process Regression in the Flat Limit. - Roberto Ammendola, Andrea Biagioni, Ottorino Frezza, Alessandro Lonardo, Francesca Lo Cicero, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Davide Rossetti, Francesco Simula, Laura Tosoratto, Piero Vicini:
Architectural improvements and technological enhancements for the APEnet+ interconnect system. - Michael Zieve:
A note on the paper arXiv: 2112.14547. - Benjamin Balzer, Johannes Schneider:
Mechanism Design with Informational Punishment. - Qihang Lin, Yangyang Xu:
Inexact accelerated proximal gradient method with line search and reduced complexity for affine-constrained and bilinear saddle-point structured convex problems. - Yi Ma, Yongqi Zhai, Ronggang Wang:
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression. - Ludwig Winkler, Klaus-Robert Müller, Huziel E. Sauceda:
Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks. - Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles:
Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification. - Su Yang, Sanaul Hoque, Farzin Deravi:
Adaptive Template Enhancement for Improved Person Recognition using Small Datasets. - Tong Dou, Guofeng Zhang, Wei Cui:
Efficient Quantum Feature Extraction for CNN-based Learning. - Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger Roth, Daguang Xu:
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. - Roman Natarov, Oleksandr O. Sudakov, Zoya Dyka, Ievgen Kabin, Oleksandr Maksymyuk, Olena Iegorova, Oleg Krishtal, Peter Langendörfer:
Resilience Aspects in Distributed Wireless Electroencephalographic Sampling. - Robert P. Dalka, Justyna P. Zwolak:
Restoring the structure: A modular analysis of ego-driven organizational networks. - Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G. Mohammad, Sultan Hassan, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver H. E. Philcox, Benjamin D. Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze W. K. Wong, William R. Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P. Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N. Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin D. Wandelt, Rachel S. Somerville, Greg L. Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Mark Vogelsberger:
The CAMELS project: public data release. - Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro, J. Colin Hill, David N. Spergel, Miles D. Cranmer, Nicholas Battaglia, Daniel Anglés-Alcázar, Lars Hernquist, Shirley Ho:
Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter. - Antonio F. Peralta, János Kertész, Gerardo Iñiguez:
Opinion dynamics in social networks: From models to data. - Diogo Ferreira Pacheco, Marcos A. C. Oliveira, Zexun Chen, Hugo Barbosa, Brooke Foucault Welles, Gourab Ghoshal, Ronaldo Menezes:
Predictability states in human mobility. - Venkatesh Jatla, Marios S. Pattichis, Charles N. Arge:
Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification. - Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu:
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training. - Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao:
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. - Siqi Li, Kuang Gong, Ramsey D. Badawi, Edward J. Kim, Jinyi Qi, Guobao Wang:
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction. - Jon Braatz, Pranav Rajpurkar, Stephanie Zhang, Andrew Y. Ng, Jeanne Shen:
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia. - Gongxin Yao, Yiwei Chen, Yong Liu, Xiaomin Hu, Yu Pan:
Robust photon-efficient imaging using a pixel-wise residual shrinkage network. - Yuqing Liu, Qi Jia, Xin Fan, Shanshe Wang, Siwei Ma, Wen Gao:
Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution. - Pedro Izquierdo Lehmann, Rodrigo F. Cádiz, Carlos A. Sing-Long:
Maximizing the Psycho-Acoustic Sweet Spot. - Qipeng Wang, Liang Liu, Shuowen Zhang, Francis C. M. Lau:
Exploiting Temporal Side Information in Massive IoT Connectivity. - Qi Zheng, Zhengzhong Tu, Pavan C. Madhusudana, Xiaoyang Zeng, Alan C. Bovik, Yibo Fan:
FAVER: Blind Quality Prediction of Variable Frame Rate Videos. - Lucas Coeuret:
Local limit theorem for complex valued sequences. - Abdullah Waqas, Hasan Mahmood, Nasir Saeed:
Interference Aware Cooperative Routing for Edge Computing-enabled 5G Networks. - Dhananjaya Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri, Paavo Alku:
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks. - Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra:
Inverse Extended Kalman Filter. - Fabian Brand, Kristian Fischer, Alexander Kopte, André Kaup:
Learning True Rate-Distortion-Optimization for End-To-End Image Compression. - Mohammad Mohammadi, Jarvin Mutatiina, Teymoor Saifollahi, Kerstin Bunte:
Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques. - Yang-Hui He, Juan Manuel Pérez Ipiña:
Machine-Learning the Classification of Spacetimes. - Hanbaek Lyu:
Convergence and Complexity of Stochastic Block Majorization-Minimization. - Esin Darici, Nicholas Rasmussen, J. Jennifer Ranjani, Jaclyn Xiao, Gunvant Chaudhari, Akanksha Rajput, Praveen Govindan, Minami Yamaura, Laura Gomezjurado, Amil Khanzada, Mert Pilanci:
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough. - Alexander Voigt:
Comparison of methods for the calculation of the real dilogarithm regarding instruction-level parallelism. - Andrew Davison:
Asymptotics of 𝓁2 Regularized Network Embeddings. - Adel M. Elmahdy, Junhyung Ahn, Changho Suh, Soheil Mohajer:
Matrix Completion with Hierarchical Graph Side Information. - Vishal Katariya:
Limits on Parameter Estimation of Quantum Channels. - Robert Bamler:
Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective. - Adam Doliwa, Artur Siemaszko:
Integrability and geometry of the Wynn recurrence. - Zidu Liu, Pei-Xin Shen, Weikang Li, Lu-Ming Duan, Dong-Ling Deng:
Quantum Capsule Networks. - Mikhail Khovanov, Maithreya Sitaraman, Daniel Tubbenhauer:
Monoidal categories, representation gap and cryptography. - Mehdi Soleimanifar, John Wright:
Testing matrix product states. - Mehdi SadeghiBakhi, Hamidreza Pourreza, Hamidreza Mahyar:
Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images. - Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling. - Xu Wang, Huan Zhao, Weiwei Tu, Hao Li, Yu Sun, Xiaochen Bo:
Graph Neural Networks for Double-Strand DNA Breaks Prediction. - Geoffrey C. Fox, John B. Rundle, Andrea Donnellan, Bo Feng:
Earthquake Nowcasting with Deep Learning. - Sergey Alyaev, Ahmed H. Elsheikh:
Direct multi-modal inversion of geophysical logs using deep learning. - Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. - Atul Singh Arora, Alexandru Gheorghiu, Uttam Singh:
Oracle separations of hybrid quantum-classical circuits. - Naoya Ozaki, Takayuki Yamamoto, Ferran Gonzalez-Franquesa, Roger Gutierrez-Ramon, Nishanth Pushparaj, Takuya Chikazawa, Diogene Alessandro Dei Tos, Onur Çelik, Nicola Marmo, Yasuhiro Kawakatsu, Tomoko Arai, Kazutaka Nishiyama, Takeshi Takashima:
Mission Design of DESTINY+: Toward Active Asteroid (3200) Phaethon and Multiple Small Bodies. - Alain Durmus, Éric Moulines:
On the geometric convergence for MALA under verifiable conditions. - Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification. - Tomás Dlask, Tomás Werner, Simon de Givry:
Super-Reparametrizations of Weighted CSPs: Properties and Optimization Perspective. - Bohdan M. Pavlyshenko:
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics. - Ezequiel Smucler, Andrea Rotnitzky:
A note on efficient minimum cost adjustment sets in causal graphical models. - Corneliu T. C. Arsene:
Data science to investigate temperature profiles of large networks of food refrigeration systems. - Bengier Ulgen Kilic, Dane Taylor:
Simplicial cascades are orchestrated by the multidimensional geometry of neuronal complexes. - Lucas Pahl:
Strategic form games and an Index Theory for Extensive form games. - Maria Refinetti, Sebastian Goldt:
The dynamics of representation learning in shallow, non-linear autoencoders. - Igor Razgon:
The splitting power of branching programs of bounded repetition and CNFs of bounded width. - Bowen Shi, Wei-Ning Hsu, Kushal Lakhotia, Abdelrahman Mohamed:
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction. - Xavier Allamigeon, Stéphane Gaubert, Nicolas Vandame:
No self-concordant barrier interior point method is strongly polynomial. - Di Shao, Xuequan Lu, Xiao Liu:
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning. - Abdurrahman Elmaghbub, Bechir Hamdaoui:
Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case. - Aline Sindel, Bettina Hohberger, Sebastian Fassihi Dehcordi, Christian Y. Mardin, Robert Lämmer, Andreas K. Maier, Vincent Christlein:
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration. - Edward J. Oughton, William H. Lehr:
Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies. - Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray Patterson:
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences. - Edwin K. P. Chong:
Well-Conditioned Linear Minimum Mean Square Error Estimation. - Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. - Dongwei Zhao, Mehdi Jafari, Audun Botterud, Apurba Sakti:
Strategic Storage Investment in Electricity Markets. - Aras Asaad, Dashti Ali, Taban Majeed, Rasber Rashid:
Persistent Homology for Breast Tumor Classification using Mammogram Scans. - Shuang Li, Qiuwei Li:
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations. - Kohei Miyaguchi:
A Theoretical Framework of Almost Hyperparameter-free Hyperparameter Selection Methods for Offline Policy Evaluation. - Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu:
A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction. - Santosh Kumar Radha, Casey Jao:
Generalized quantum similarity learning. - Canqi Yao, Shibo Chen, Mauro Salazar, Zaiyue Yang:
Electric Vehicle Routing Problem with Spatio-temporal Varying Electricity Price and Incentive-aware Customers. - Killian Wood, Emiliano Dall'Anese:
Stochastic Saddle Point Problems with Decision-Dependent Distributions. - Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Peng Gao, Zenghui Zhang, Tatsuya Harada:
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images. - Ginga Yoshizawa:
Bayesian Online Change Point Detection for Baseline Shifts. - Debvrat Varshney, Claudio Persello, Prasun Kumar Gupta, Bhaskar Ramachandra Nikam:
Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images. - Francesco Caravelli, Fabio L. Traversa, Michele Bonnin, Fabrizio Bonani:
Projective Embedding of Dynamical Systems: uniform mean field equations. - Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Yu:
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation. - Jean-François Coulombel:
The Green's function of the Lax-Wendroff and Beam-Warming schemes. - Yiyang Li:
Investigation of the Relationship Between Localization Accuracy and Sensor Array. - Zhiyu He, Saverio Bolognani, Jianping He, Florian Dörfler, Xinping Guan:
Model-Free Nonlinear Feedback Optimization. - Edoardo Daniele Cannas, Nicolò Bonettini, Sara Mandelli, Paolo Bestagini, Stefano Tubaro:
Amplitude SAR Imagery Splicing Localization. - Jian Jin, Xingxing Zhang, Lili Meng, Weisi Lin, Jie Liang, Huaxiang Zhang, Yao Zhao:
Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding. - Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah:
Effect of Prior-based Losses on Segmentation Performance: A Benchmark. - Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in Noisy Importance Sampling. - Erdinc Akyildirim, Matteo Gambara, Josef Teichmann, Syang Zhou:
Applications of Signature Methods to Market Anomaly Detection. - Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Negative Evidence Matters in Interpretable Histology Image Classification. - Yiwei Chen, Gongxin Yao, Yong Liu, Yu Pan:
Deep Domain Adversarial Adaptation for Photon-efficient Imaging Based on Spatiotemporal Inception Network. - Hiromi Tanaka:
TOWER-Complete Problems in Contraction-Free Substructural Logics. - Mouad Morabit, Guy Desaulniers, Andrea Lodi:
Machine-learning-based arc selection for constrained shortest path problems in column generation. - William E. Carson IV, Austin Talbot, David E. Carlson:
AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models. - Mehreen Sirshar, Taimur Hassan, Muhammad Usman Akram, Shoab Ahmed Khan:
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs. - Vibhor Gautam, Vikalp Shishodia:
The E-Intelligence System. - Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly:
Explainable deep learning for insights in El Nino and river flows. - Byounghyo Lee, Dongyeon Kim, Seungjae Lee, Chun Chen, Byoungho Lee:
High-contrast, speckle-free, true 3D holography via binary CGH optimization. - Leonhard Helminger, Roberto Azevedo, Abdelaziz Djelouah, Markus Gross, Christopher Schroers:
Microdosing: Knowledge Distillation for GAN based Compression. - Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging. - Eu Wern Teh, Graham W. Taylor:
Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images. - Jianfeng Zhao, Dengwang Li, Shuo Li:
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI. - Heng Yu, Di Fan, Weihu Song:
GPU-Net: Lightweight U-Net with more diverse features. - Slawomir Mackowiak, Marek Domanski, Slawomir Rózek, Dominik Cywinski, Jakub Szkielda:
Video Coding for Machines: Partial transmission of SIFT features. - Konstantin T. Matchev, Katia Matcheva, Alexander Roman:
Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra. - Yuyang Chen, Kaiming Bi, Chih-Hang J. Wu, David Ben-Arieh, Ashesh Sinha:
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System. - Philip B. Stark:
ALPHA: Audit that Learns from Previously Hand-Audited Ballots. - Chung-Ching Lin, Chase Puglisi, Veljko Boljanovic, Han Yan, Erfan Ghaderi, Jayce Jeron Gaddis, Qiuyan Xu, Sreeni Poolakkal, Danijela Cabric, Subhanshu Gupta:
Multi-Mode Spatial Signal Processor with Rainbow-like Fast Beam Training and Wideband Communications using True-Time-Delay Arrays. - Bohdan M. Pavlyshenko:
Bitcoin Price Predictive Modeling Using Expert Correction. - Nauman Dawalatabad, Tushar Vatsal, Ashutosh Gupta, Sungsoo Kim, Shatrughan Singh, Dhananjaya Gowda, Chanwoo Kim:
Two-Pass End-to-End ASR Model Compression. - Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Hairong Zheng, Yusong Lin, Shanshan Wang:
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading. - Félix Lirio-Loli, William Dextre-Martínez:
Bibliometric analysis of the scientific production found in Scopus and Web of Science about business administration. - Shuyue Guan, Murray H. Loew:
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. - Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. - Zümray Dokur, Tamer Ölmez:
Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network. - Arthur Stéphanovitch, Ugo Tanielian, Benoît Cadre, Nicolas Klutchnikoff, Gérard Biau:
Optimal 1-Wasserstein Distance for WGANs. - Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Qi Qi, Kunqian Li, Haiyong Zheng, Xiang Gao, Guojia Hou, Kun Sun:
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception. - Xinrui Zhan, Liheng Bian, Chunli Zhu, Jun Zhang:
Weighted Encoding Optimization for Dynamic Single-pixel Imaging and Sensing. - Bile Peng, Jan-Aike Termöhlen, Cong Sun, Danping He, Ke Guan, Tim Fingscheidt, Eduard A. Jorswieck:
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network. - Claire Donnat, Axel Levy, Frédéric Poitevin, Nina Miolane:
Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy. - Jiahe Wang, Boran Han:
Defocus Deblur Microscopy via feature interactive coarse-to-fine network. - Yuval Filmus, Nathan Lindzey:
Simple Algebraic Proofs of Uniqueness for Erdős-Ko-Rado Theorems. - Michal Benes, Miroslav Kolár, Daniel Sevcovic:
Qualitative and numerical aspects of a motion of a family of interacting curves in space. - Qianghui Xiao:
Solution to Morgan Problem. - Qiang Zou, Qiqiang Zheng, Zhihong Tang, Shuming Gao:
Variational design for a structural family of CAD models. - Mononito Goswami, Benedikt Boecking, Artur Dubrawski:
Weak Supervision for Affordable Modeling of Electrocardiogram Data. - Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere, Andrew Wang:
Robust classification with flexible discriminant analysis in heterogeneous data. - Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MAXIM: Multi-Axis MLP for Image Processing. - Congpei An, Hao-Ning Wu, Xiaoming Yuan:
Enhanced total variation minimization for stable image reconstruction. - Nikolaos-Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis:
Learning class prototypes from Synthetic InSAR with Vision Transformers. - Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Kensaku Mori:
Lung infection and normal region segmentation from CT volumes of COVID-19 cases. - Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty. - Wei Tan, Emilio Martínez-Pañeda:
Phase field fracture predictions of microscopic bridging behaviour of composite materials. - Kristóf Bérczi, Lydia Mirabel Mendoza Cadena, Kitti Varga:
Inverse optimization problems with multiple weight functions. - Badriah Al Juaid, Marcel Jackson, James Koussas, Tomasz Kowalski:
Qualitative representations of chromatic algebras. - Giulia De Pasquale, Francesco Bullo, Maria Elena Valcher:
Ergodicity Coefficients are Induced Matrix Seminorms. - Mohak Goyal, Animesh Kumar:
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform. - Michael J. Morais, Jonathan W. Pillow:
Loss-calibrated expectation propagation for approximate Bayesian decision-making. - Sanchari Dhar, Lior Shamir:
Systematic biases when using deep neural networks for annotating large catalogs of astronomical images. - Lanqing Guo, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen:
Enhancing Low-Light Images in Real World via Cross-Image Disentanglement. - Hao Xie, Linfeng Zhang, Lei Wang:
m* of two-dimensional electron gas: a neural canonical transformation study. - Mohadese Movahednia, Amin Kargarian:
Flood-aware Optimal Power Flow for Proactive Day-ahead Transmission Substation Hardening. - Lihu Xu, Fang Yao, Qiuran Yao, Huiming Zhang:
Non-Asymptotic Guarantees for Robust Statistical Learning under (1+ε)-th Moment Assumption. - Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. - Yuyang Wu, Wei Gao:
End-to-end lossless compression of high precision depth maps guided by pseudo-residual. - Shashwat Bhattacharya, Mahendra K. Verma, Arnab Bhattacharya:
Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models. - Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. - Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad:
Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds. - Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang Yang:
Swin Transformer for Fast MRI. - Dan Crisan, Alexander Lobbe, Salvador Ortiz-Latorre:
An application of the splitting-up method for the computation of a neural network representation for the solution for the filtering equations. - Matthias Schaufelberger, Reinald Peter Kühle, Andreas Wachter, Frederic Weichel, Niclas Hagen, Friedemann Ringwald, Urs Eisenmann, Jürgen Hoffmann, Michael Engel, Christian Freudlsperger, Werner Nahm:
A statistical shape model for radiation-free assessment and classification of craniosynostosis. - Diederik Aerts, Lester Beltran:
A Planck Radiation and Quantization Scheme for Human Cognition and Language. - Jing Du, Shiliang Pu, Qinbo Dong, Chao Jin, Xin Qi, Dian Gu, Ru Wu, Hongwei Zhou:
Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection. - Daniel Wulff, Jannis Hagenah, Floris Ernst:
Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound. - Xin Wang, Junichi Yamagishi:
A Practical Guide to Logical Access Voice Presentation Attack Detection. - Anastassia Vybornova, Tiago Cunha, Astrid Gühnemann, Michael Szell:
Automated Detection of Missing Links in Developed Bicycle Networks. - Oren Fivel, Moshe Klein, Oded Maimon:
Decision Trees with Soft Numbers. - Anton A. Kutsenko:
Source waves in the uniform discrete plane with linear and point defects. - Stefan Schrod, Andreas Schäfer, Stefan Solbrig, Robert Lohmayer, Wolfram Gronwald, Peter J. Oefner, Tim Beißbarth, Rainer Spang, Helena U. Zacharias, Michael Altenbuchinger:
BITES: Balanced Individual Treatment Effect for Survival data. - William Boyles:
Most Clicks Problem in Lights Out. - Wenzheng Tao, Riddhish Bhalodia, Shireen Y. Elhabian:
Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model. - Michele Amoretti:
Private Set Intersection with Delegated Blind Quantum Computing. - Martin Slawski, Bodhisattva Sen:
Permuted and Unlinked Monotone Regression in Rd: an approach based on mixture modeling and optimal transport. - Tianhan Zhang, Yuxiao Yi, Yifan Xu, Zhi X. Chen, Yaoyu Zhang, Weinan E, Zhi-Qin John Xu:
A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics. - Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer:
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. - Peter Dawood, Martin Blaimer, Felix Breuer, Paul R. Burd, István Homolya, Peter M. Jakob, Johannes Oberberger:
Iterative RAKI with Complex-Valued Convolution for Improved Image Reconstruction with Limited Scan-Specific Training Samples. - Runshi Geng:
Geometric Rank and Linear Determinantal Varieties. - Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg:
A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow. - Ken C. L. Wong, Mehdi Moradi:
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. - Szymon Talaga, Andrzej Nowak:
Measuring structural complementarity and similarity in networks. - Yoav Alon, Huiyu Zhou:
Neuroplastic graph attention networks for nuclei segmentation in histopathology images. - Marco Maronese, Claudio Destri, Enrico Prati:
Quantum activation functions for quantum neural networks. - Peter Harremoës:
Rate Distortion Theory for Descriptive Statistics. - Lauren Partin, Daniele E. Schiavazzi, Carlos A. Sing-Long:
An analysis of reconstruction noise from undersampled 4D flow MRI. - Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. - Gordon H. Y. Li, Ryoto Sekine, Rajveer Nehra, Robert M. Gray, Luís Ledezma, Qiushi Guo, Alireza Marandi:
All-optical ultrafast ReLU function for energy-efficient nanophotonic deep learning. - Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading. - Markus Meuwly:
Atomistic Simulations for Reactions and Spectroscopy in the Era of Machine Learning - Quo Vadis? - Shoutong Wang, Jinglin Liu, Yi Ren, Zhen Wang, Changliang Xu, Zhou Zhao:
MR-SVS: Singing Voice Synthesis with Multi-Reference Encoder. - Peter Frankl, Andrey Kupavskii:
Perfect matchings in down-sets. - Hiroshi Sato, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Naoyuki Kamo, Takafumi Moriya:
Learning to Enhance or Not: Neural Network-Based Switching of Enhanced and Observed Signals for Overlapping Speech Recognition. - Alain Islas, Andrés Rodróguez Fernández, Covadonga Betegón, Emilio Martínez-Pañeda, Adrián Pandal:
CFD simulations of turbulent dust dispersion in the 20 L vessel using OpenFOAM. - Shoukang Hu, Xurong Xie, Mingyu Cui, Jiajun Deng, Shansong Liu, Jianwei Yu, Mengzhe Geng, Xunying Liu, Helen Meng:
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks. - Eoin Hurley, Felix Joos, Richard Lang:
Sufficient conditions for perfect mixed tilings. - Nicolas Keriven:
Entropic Optimal Transport in Random Graphs. - Guillaume Olikier, Kyle A. Gallivan, Pierre-Antoine Absil:
An apocalypse-free first-order low-rank optimization algorithm. - Francisco Mota:
Fourier Series and Transforms via Convolution. - Guillaume Olikier, Pierre-Antoine Absil:
On the continuity of the tangent cone to the determinantal variety. - Céline Comte, Jan-Pieter L. Dorsman:
Performance Evaluation of Stochastic Bipartite Matching Models. - J. Kaczmar-Michalska, N. R. Hajizadeh, A. J. Rzepiela, S. F. Nørrelykke:
Image quality measurements and denoising using Fourier Ring Correlations. - Baptiste Goujaud, Céline Moucer, François Glineur, Julien M. Hendrickx, Adrien B. Taylor, Aymeric Dieuleveut:
PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. - Ya-Lin Huang, Chia-Ying Hsieh, Jian-Xue Huang, Chun-Shu Wei:
ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation. - Mervyn O'Luing, Steven D. Prestwich, S. Armagan Tarim:
A hybrid estimation of distribution algorithm for joint stratification and sample allocation. - Iñigo Martinez, Urtzi Otamendi, Igor G. Olaizola, Roger Solsona, Mikel Maiza, Elisabeth Viles, Arturo Fernández, Ignacio Arzua:
A novel method for error analysis in radiation thermometry with application to industrial furnaces. - Yola Jones, Fani Deligianni, Jeff Dalton:
Improving ECG Classification Interpretability using Saliency Maps. - Damodar Dahal:
Application of Common Spatial Patterns in Gravitational Waves Detection. - Alessandra Cipriani, Christian Hirsch, Martina Vittorietti:
Topology-based goodness-of-fit tests for sliced spatial data. - David Peral García, Juan Cruz-Benito, Francisco José García-Peñalvo:
Systematic Literature Review: Quantum Machine Learning and its applications. - Raju Shrestha, Daniel Romero, Sundeep Prabhakar Chepuri:
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs. - Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge:
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. - Ulrich Bauer, Maximilian Schmahl:
Efficient Computation of Image Persistence. - Erik Brynjolfsson:
The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence. - Rasmus Jensen, Alexandros Iosifidis:
Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review. - Almabrok Essa, Hari Kotte:
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals. - Chenru Duan, Daniel B. K. Chu, Aditya Nandy, Heather J. Kulik:
Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy. - Taylor Brysiewicz, Michael Burr:
Sparse trace tests. - Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Kumar Vijay Mishra, Aditya K. Jagannatham:
Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs. - Da He, Jiasheng Zhou, Xiaoyu Shang, Jiajia Luo, Sung-Liang Chen:
De-Noising of Photoacoustic Microscopy Images by Deep Learning. - Brian Axelrod, Shivam Garg, Yanjun Han, Vatsal Sharan, Gregory Valiant:
On the Statistical Complexity of Sample Amplification. - Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang:
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. - Yelu Gao, Huang Huang, Lian Zhang:
Predicting Alzheimer's Disease Using 3DMgNet. - Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. - Sauman Das:
Optimizing Prediction of MGMT Promoter Methylation from MRI Scans using Adversarial Learning. - K. Mahesh Krishna:
The (abc, pqr)-problem for Approximate Schauder Frames for Banach Spaces. - Masahiro Kato, Kaito Ariu, Masaaki Imaizumi, Masatoshi Uehara, Masahiro Nomura, Chao Qin:
Optimal Fixed-Budget Best Arm Identification using the Augmented Inverse Probability Weighting Estimator in Two-Armed Gaussian Bandits with Unknown Variances. - Bhargav Gokalgandhi, Prasanthi Maddala, Ivan Seskar:
Implementation of FGPA based Channel Sounder for Large scale antenna systems using RFNoC on USRP Platform. - Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori:
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation. - Thomas Grandits, Simone Pezzuto, Gernot Plank:
Smoothness and continuity of cost functionals for ECG mismatch computation. - Qi Wang, Anastasios Kakkavas, Xitao Gong, Richard A. Stirling-Gallacher:
Towards Integrated Sensing and Communications for 6G. - Leonid Pastur:
Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural Networks: Orthogonal Case. - Masaaki Imaizumi, Johannes Schmidt-Hieber:
On generalization bounds for deep networks based on loss surface implicit regularization. - Alfredo Jaramillo, Vinícius Pessoa Mapelli, Luben Cabezas-Gómez:
Pseudopotential Lattice Boltzmann Method for boiling heat transfer: a mesh refinement procedure. - Yuan Chiang, Ting-Wai Chiu, Shu-Wei Chang:
ImageMech: From image to particle spring network for mechanical characterization. - Muhammad Asad, Lucas Fidon, Tom Vercauteren:
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation. - Michel Rigo, Manon Stipulanti, Markus A. Whiteland:
Binomial Complexities and Parikh-Collinear Morphisms. - Mahdi Ghorbani, Samarjeet Prasad, Jeffery B. Klauda, Bernard R. Brooks:
GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules. - Jacob F. Wycoff, Sam Dillavou, Menachem Stern, Andrea J. Liu, Douglas J. Durian:
Learning Without a Global Clock: Asynchronous Learning in a Physics-Driven Learning Network. - Sabrina Zhu:
Early Diagnosis of Parkinsons Disease by Analyzing Magnetic Resonance Imaging Brain Scans and Patient Characteristics. - Damian R. Sowinski, Jonathan Carroll-Nellenback, Jeremy M. DeSilva, Adam Frank, Gourab Ghoshal, Marcelo Gleiser, Hari Seldon:
Consensus between Epistemic Agents is Difficult. - Jacob A. Zavatone-Veth, Cengiz Pehlevan:
On neural network kernels and the storage capacity problem. - Horacio Corral, Javier Melchor, Balam Sotelo, Jorge Vera:
Detection of brain tumors using machine learning algorithms. - Ryan Hausen, Brant Robertson:
Partial-Attribution Instance Segmentation for Astronomical Source Detection and Deblending. - Benjamin Bowman, Guido Montúfar:
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks. - Dirk Helbing, Matjaz Perc:
Nanowars can cause epidemic resurgence and fail to promote cooperation. - Lucas Benigni, Sandrine Péché:
Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks. - Kaifeng Pang, Zuhayr Asad, Shilin Zhao, Yuankai Huo:
MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images. - Guangyu Wu, Anders Lindquist:
A Non-Classical Parameterization for Density Estimation Using Sample Moments. - Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning:
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer. - Hongzhen Tian, Reuven Zev Cohen, Chuck Zhang, Yajun Mei:
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation. - Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang:
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. - Ke Ye, Shenglong Hu:
When geometry meets optimization theory: partially orthogonal tensors. - Yunus Emre Erdogan, Ali Narin:
Comparison of Classification Algorithms for COVID19 Detection using Cough Acoustic Signals. - Masahiro Oda, Kiyohito Tanaka, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori:
Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation. - Dirk A. Lorenz, Felix Schneppe:
Chambolle-Pock's Primal-Dual Method with Mismatched Adjoint. - Ayush Arunachalam, S. Novia Berriel, Parag Banerjee, Kanad Basu:
Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling. - Arnab Sarker, Ali Jadbabaie, Devavrat Shah:
Unifying Epidemic Models with Mixtures. - Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou:
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. - Pedro M. N. Sequeira, João P. Hespanha, A. Pedro Aguiar:
Decomposition of admissible functions in weighted coupled cell networks. - Mattia Cenedese, Joar Axås, Bastian Bäuerlein, Kerstin Avila, George Haller:
Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds. - Marc Goerigk, Mohammad Khosravi:
Benchmarking Problems for Robust Discrete Optimization. - Randal Douc, Alain Durmus, Aurélien Enfroy, Jimmy Olsson:
Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm. - Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller:
Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond. - Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka:
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease. - Yixin Wang, Anthony Degleris, Alex H. Williams, Scott W. Linderman:
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models. - Md. Ashad Alam, Hui Shen, Hong-Wen Deng:
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery. - Edwin Bedolla:
Using Computational Intelligence for solving the Ornstein-Zernike equation. - Guillaume Staerman, Eric Adjakossa, Pavlo Mozharovskyi, Vera Hofer, Jayant Sen Gupta, Stéphan Clémençon:
Functional Anomaly Detection: a Benchmark Study. - Honghe Jin:
Hyperparameter Importance for Machine Learning Algorithms. - Rahul Singh:
Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions. - Pablo M. Sanchez-Alarcon, Yago Ascasibar Sequeiros:
Fully Adaptive Bayesian Algorithm for Data Analysis, FABADA. - Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock:
Decompositional Quantum Graph Neural Network. - René Carmona, Gökçe Dayanikli:
Mean Field Model for an Advertising Competition in a Duopoly. - Hee Rhang Yoon, Robert Ghrist, Chad Giusti:
Persistent Extension and Analogous Bars: Data-Induced Relations Between Persistence Barcodes. - Konstantinos F. Xylogiannopoulos:
Multiple Genome Analytics Framework: The Case of All SARS-CoV-2 Complete Variants. - Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk:
Sharp estimates on random hyperplane tessellations. - Émiland Garrabé, Giovanni Russo:
Probabilistic design of optimal sequential decision-making algorithms in learning and control. - Mingtian Zhang, James Townsend, Ning Kang, David Barber:
Parallel Neural Local Lossless Compression. - Dmitri Maslov, Ben Zindorf:
Depth optimization of CZ, CNOT, and Clifford circuits. - Bryn Noel Ubald, Pranay Seshadri, Andrew B. Duncan:
Density Estimation from Schlieren Images through Machine Learning. - Jeremy R. Ash, Laura Lancaster, Chris Gotwalt:
A Method for Controlling Extrapolation when Visualizing and Optimizing the Prediction Profiles of Statistical and Machine Learning Models. - Alexander N. Sietsema:
An Empirical Study of Least Squares Ratings for USA Ultimate Frisbee. - Johannes O. Royset:
Consistent Approximations in Composite Optimization. - Zhi Ji, Wendong Yang, Xinrong Guan, Xiao Zhao, Guoxin Li, Qingqing Wu:
Trajectory and Transmit Power Optimization for IRS-Assisted UAV Communication under Malicious Jamming. - Martin Molina-Fructuoso, Ryan W. Murray:
Eikonal depth: an optimal control approach to statistical depths. - Yan Sun, Faming Liang:
A Kernel-Expanded Stochastic Neural Network. - Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Gen Iinuma, Kazunari Misawa, Shigeru Nawano, Kensaku Mori:
Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes. - Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly:
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones? - Zhaorong Zhang, Juanjuan Xu, Xun Li:
Distributed Q-Learning for Stochastic LQ Control with Unknown Uncertainty. - Kai-Ni Wang, Xin Yang, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guang-Quan Zhou, Xiahai Zhuang, Dong Ni:
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images. - Christopher Beattie, Volker Mehrmann, Hongguo Xu:
Port-Hamiltonian Realizations of Linear Time Invariant Systems. - Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Saddam Hussain Khan, Asifullah Khan:
A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI. - Marvin Fritz, Tobias Köppl, J. Tinsley Oden, Andreas Wagner, Barbara I. Wohlmuth, Chengyue Wu:
A 1D-0D-3D coupled model for simulating blood flow and transport processes in breast tissue. - Florian Boyer, Yusuke Shinohara, Takaaki Ishii, Hirofumi Inaguma, Shinji Watanabe:
A Study of Transducer based End-to-End ASR with ESPnet: Architecture, Auxiliary Loss and Decoding Strategies. - Jan Nordström:
A new energy stable formulation of the compressible Euler equations. - Sebastian Lotter, Maximilian Schäfer, Robert Schober:
Molecular Noise In Synaptic Communication. - Pietro Hiram Guzzi, Luisa Di Paola, Alessandro Giuliani, Pierangelo Veltri:
Design and Development of PCN-Miner: A tool for the Analysis of Protein Contact Networks. - Zafeirios Fountas, Alexey Zakharov:
Bayesian sense of time in biological and artificial brains. - Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis:
SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems. - Milán Mosonyi, Fumio Hiai:
Test-measured Rényi divergences. - Benedikt Feldotto, Cristian Soare, Alois C. Knoll, Piyanee Sriya, Sarah Astill, Marc de Kamps, Samit Chakrabarty:
Evaluating Muscle Synergies with EMG Data and Physics Simulation in the Neurorobotics Platform. - Cheik Traoré, Saverio Salzo, Silvia Villa:
Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization. - Tao Yu, Shijie Tana, Rodrigo Caiado de Lamare, Yi Yu:
Study of Frequency domain exponential functional link network filters. - Hang Yang, Zekun Niu, Haochen Zhao, Shilin Xiao, Weisheng Hu, Lilin Yi:
Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme. - Irem Portakal, Bernd Sturmfels:
Geometry of Dependency Equilibria. - Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Fayçal Ait Aoudia, Jakob Hoydis:
Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier. - Ashutosh Marwah, Frédéric Dupuis:
Uniform continuity bound for sandwiched Rényi conditional entropy. - Benjamin Remy, François Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback:
Probabilistic Mass Mapping with Neural Score Estimation. - Maximilian Kertel, Markus Pauly:
Estimating Gaussian Copulas with Missing Data. - Jaydip Sen, Ashwin Kumar R. S, Geetha Joseph, Kaushik Muthukrishnan, Koushik Tulasi, Praveen Varukolu:
Precise Stock Price Prediction for Robust Portfolio Design from Selected Sectors of the Indian Stock Market. - Yulin Liu, Yuxuan Lu, Kartik Nayak, Fan Zhang, Luyao Zhang, Yinhong Zhao:
Empirical Analysis of EIP-1559: Transaction Fees, Waiting Time, and Consensus Security. - John Kalkhof, Camila González, Anirban Mukhopadhyay:
Disentanglement enables cross-domain Hippocampus Segmentation. - Nan Miles Xi, Dalong Patrick Huang:
Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit Ventricular Wedge Assay. - Davood Karimi, Ali Gholipour:
Diffusion Tensor Estimation with Transformer Neural Networks. - Oleg I. Berngardt, Oleg A. Kusonsky, Alexey I. Poddelsky, Alexey V. Oinats:
Wrapped Classifier with Dummy Teacher for training physics-based classifier at unlabeled radar data. - Shuai Ma, Xiaoteng Ma, Li Xia:
A unified algorithm framework for mean-variance optimization in discounted Markov decision processes. - Lishun Wang, Zongliang Wu, Yong Zhong, Xin Yuan:
Spectral Compressive Imaging Reconstruction Using Convolution and Spectral Contextual Transformer. - Jun Zhu, Nils Maris Lockmann, Marie Kristin Czwalinna, Holger Schlarb:
Mixed Diagnostics for Longitudinal Properties of Electron Bunches in a Free-Electron Laser. - Yang Zhong, Hongyu Yu, Xingao Gong, Hongjun Xiang:
Edge-based Tensor prediction via graph neural networks. - Saida Mussakhojayeva, Yerbolat Khassanov, Huseyin Atakan Varol:
KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topics. - Jiqing Wu, Nanda Horeweg, Marco de Bruyn, Remi A. Nout, Ina M. Jürgenliemk-Schulz, Ludy C. H. W. Lutgens, Jan J. Jobsen, Elzbieta M. van der Steen-Banasik, Hans W. Nijman, Vincent T. H. B. M. Smit, Tjalling Bosse, Carien L. Creutzberg, Viktor H. Koelzer:
Automated causal inference in application to randomized controlled clinical trials. - Emmanouil Lardas, Evangelos Protopapas, Dimitrios M. Thilikos, Dimitris Zoros:
On Strict Brambles. - Siming Zheng, Xiaoyu Yang, Xin Yuan:
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing. - Daoyi Dong, Ian R. Petersen:
Quantum estimation, control and learning: opportunities and challenges. - Shansong Liu, Mengzhe Geng, Shoukang Hu, Xurong Xie, Mingyu Cui, Jianwei Yu, Xunying Liu, Helen Meng:
Recent Progress in the CUHK Dysarthric Speech Recognition System. - Hala Neji, Mohamed Ben Halima, Javier Nogueras-Iso, Tarek M. Hamdani, Abdulrahman M. Qahtani, Omar Almutiry, Habib Dhahri, Adel M. Alimi:
SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text Images. - Tan Wan, L. Jeff Hong:
Large-Scale Inventory Optimization: A Recurrent-Neural-Networks-Inspired Simulation Approach. - Samuel Ewing, G. Stacey Staples:
Zeon and Idem-Clifford Formulations of Hypergraph Problems. - George Jeffreys, Siu-Cheong Lau:
Noncommutative Geometry of Computational Models and Uniformization for Framed Quiver Varieties. - Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le:
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data. - Mohsen Asgari, Seyed Hossein Khasteh:
Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets. - Andreas Blass, Yuri Gurevich, Alexander Volberg:
Wigner's quasidistribution and Dirac's kets. - Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. - Abhinav Sagar:
ViTBIS: Vision Transformer for Biomedical Image Segmentation. - Daniel Ferguson, François G. Meyer:
Theoretical analysis and computation of the sample Frechet mean for sets of large graphs based on spectral information. - Meng Zhao, Pedro Anjos, John S. Lowengrub, Wenjun Ying, Shuwang Li:
Numerical study on viscous fingering using electric fields in a Hele-Shaw cell. - Malik A. Manan, Tariq Mahmood Khan, Ahsan Saadat, Muhammad Arsalan, Syed Saud Naqvi:
A Residual Encoder-Decoder Network for Segmentation of Retinal Image-Based Exudates in Diabetic Retinopathy Screening. - Agus Gunawan, Sultan Rizky Hikmawan Madjid:
CISRNet: Compressed Image Super-Resolution Network. - Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarette, Ibrahim Almakky, Mohammad Yaqub:
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches? - Nemo Semret:
Dynamics of Bitcoin mining. - Yunus Emre Erdogan, Ali Narin:
Comparison of COVID-19 Prediction Performances of Normalization Methods on Cough Acoustics Sounds. - Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub:
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? - Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra:
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent. - Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz:
Robust Scatterer Number Density Segmentation of Ultrasound Images. - Tomislav Ivek, Domagoj Vlah:
Reconstruction of Incomplete Wildfire Data using Deep Generative Models. - Xiaohong Chen, Zhengling Qi:
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation. - Wrik Mallik, Neil Farvolden, Jasmin Jelovica, Rajeev K. Jaiman:
Deep convolutional neural network for shape optimization using level-set approach. - Xijun Li, Qingyu Qu, Fangzhou Zhu, Jia Zeng, Mingxuan Yuan, Kun Mao, Jie Wang:
Learning to Reformulate for Linear Programming. - Ibrahim Yildirim, Ertugrul Basar:
Channel Modeling in RIS-Empowered Wireless Communications. - Karthik K, Sowmya Kamath Shevgoor:
Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms. - Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub:
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? - Florian Thamm, Felix Denzinger, Leonhard Rist, Celia Martín Vicario, Florian Kordon, Andreas K. Maier:
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. - Le Hong Trang, Thi Le Nguyen, Thanh An Phan:
Finding Approximately Convex Ropes in the Plane. - Sharu Theresa Jose, Osvaldo Simeone:
Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis. - Oliver Tan:
Skip Letters for Short Supersequence of All Permutations. - Dominik J. Schindler, Jonathan Clarke, Mauricio Barahona:
Multiscale mobility patterns and the restriction of human mobility under lockdown. - Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller:
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. - Yiwen Li, Yunguan Fu, Qianye Yang, Zhe Min, Wen Yan, Henkjan J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning. - Fatma Altunbulak Aksu, Ipek Tuvay:
A characterization of abelian group codes in terms of their parameters. - Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron, Simon Martiel, Cyril Allouche:
Reducing the Depth of Linear Reversible Quantum Circuits. - Felix Finster, Robert H. Jonsson, Niki Kilbertus:
Numerical Analysis of the Causal Action Principle in Low Dimensions. - Jie Song, Huawei Yi, Wenqian Xu, Xiaohui Li, Bo Li, Yuanyuan Liu:
Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN. - Jendrik Voss, Robert J. Martin, Oliver Sander, Siddhant Kumar, Dennis M. Kochmann, Patrizio Neff:
Numerical approaches for investigating quasiconvexity in the context of Morrey's conjecture. - Nikos Papanikolaou, Giacomo Vaccario, Erik Hormann, Renaud Lambiotte, Frank Schweitzer:
Consensus from group interactions: An adaptive voter model on hypergraphs. - Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron, Simon Martiel, Cyril Allouche:
Decoding techniques applied to the compilation of CNOT circuits for NISQ architectures. - Tim Whittaker, William E. East, Stephen R. Green, Luis Lehner, Huan Yang:
Using machine learning to parametrize postmerger signals from binary neutron stars. - Michail Spitieris, Ingelin Steinsland:
Bayesian Calibration of imperfect computer models using Physics-informed priors. - Joel David Hamkins, Davide Leonessi:
Infinite Hex is a draw. - Santiago Mazuelas, Mauricio Romero, Peter Grünwald:
Minimax risk classifiers with 0-1 loss. - Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron, Simon Martiel, Cyril Allouche:
Gaussian Elimination versus Greedy Methods for the Synthesis of Linear Reversible Circuits. - Remy Kusters, Yusik Kim, Marine Collery, Christian de Sainte Marie, Shubham Gupta:
Differentiable Rule Induction with Learned Relational Features. - Clodomir J. Santana Jr., Federico Botta, Hugo Barbosa, Filippo Privitera, Ronaldo Menezes, Riccardo Di Clemente:
Changes in the time-space dimension of human mobility during the COVID-19 pandemic. - Tyler Helmuth, Ryan L. Mann:
Efficient Algorithms for Approximating Quantum Partition Functions at Low Temperature. - Florian Stober, Armin Weiß:
The Power Word Problem in Graph Products. - Kunal Gupta, Brendan Colvert, Francisco Contijoch:
Neural Computed Tomography. - Volker Mehrmann, Benjamin Unger:
Control of port-Hamiltonian differential-algebraic systems and applications. - Mathieu Chambefort, Raphaël Butez, Emilie Chautru, Stéphan Clémençon:
Improving the quality control of seismic data through active learning. - Sergio Sánchez Ramírez, Javier Conejero, Francesc Lordan, Anna Queralt, Toni Cortes, Rosa M. Badia, Artur García-Sáez:
RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation. - Indu Kant Deo, Rajeev Jaiman:
Learning Wave Propagation with Attention-Based Convolutional Recurrent Autoencoder Net. - Pierre Mathonet, Michel Rigo, Manon Stipulanti, Naïm Zénaïdi:
On digital sequences associated with Pascal's triangle. - Ali Nejat, Laura Solitare, Edward Pettitt, Hamed Mohsenian Rad:
Equitable Community Resilience: The Case of Winter Storm Uri in Texas. - Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri:
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR. - Xin Li, Jian Li, Zhihong Jeff Xia, Nikolaos Georgakarakos:
Machine learning prediction for mean motion resonance behaviour - The planar case. - Zhen Gao, Minghui Wu, Chun Hu, Feifei Gao, Guanghui Wen, Dezhi Zheng, Jun Zhang:
Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI. - Yongji Wang, Ching-Yao Lai, Javier Gómez-Serrano, Tristan Buckmaster:
Self-similar blow-up profile for the Boussinesq equations via a physics-informed neural network. - Giacomo Ascione, Salvatore Cuomo:
A sojourn-based approach to semi-Markov Reinforcement Learning. - Adam Doliwa, Artur Siemaszko:
Hermite-Padé approximation and integrability. - Michael Gref, Nike Matthiesen, Christoph Schmidt, Sven Behnke, Joachim Köhler:
Human and Automatic Speech Recognition Performance on German Oral History Interviews. - Stefano Della Fiore, Alessandro Gnutti, Sven C. Polak:
The maximum cardinality of trifferent codes with lengths 5 and 6. - Khaled Ben Amara, Maria Isabel Berenguer, Aref Jeribi:
Approximation of the fixed point of the product of two operators in Banach algebras with applications to some functional equations. - Kristoffer Andersson, Adam Andersson, Cornelis W. Oosterlee:
Convergence of a robust deep FBSDE method for stochastic control. - Michael Gref, Nike Matthiesen, Sreenivasa Hikkal Venugopala, Shalaka Satheesh, Aswinkumar Vijayananth, Duc Bach Ha, Sven Behnke, Joachim Köhler:
A Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis. - Mathias Louboutin, Felix J. Herrmann:
Enabling wave-based inversion on GPUs with randomized trace estimation. - Animikh Roy, Andor Kesselman:
A Novel Approach to Topological Graph Theory with R-K Diagrams and Gravitational Wave Analysis. - Yaping Zhao, Siming Zheng, Xin Yuan:
Deep Equilibrium Models for Video Snapshot Compressive Imaging. - Dan Reznik:
The Wrought Iron Beauty of Poncelet Loci. - Sabrina Schönfeld, Alican Ozkan, Laura Scarabosio, Marissa Nichole Rylander, Christina Kuttler:
Environmental stress level to model tumor cell growth and survival. - George Barmpalias, Lu Liu:
Aspects of Muchnik's paradox in restricted betting. - Antoni Buades, Onofre Martorell, Marco Sánchez-Beeckman:
Joint denoising and HDR for RAW video sequences. - Ningyuan Huang, Soledad Villar:
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants. - Wesley H. Holliday:
Compatibility and accessibility: lattice representation for semantics of non-classical and modal logics. - Bertrand Teguia Tabuguia:
Explicit formulas for concatenations of arithmetic progressions. - Sergey N. Pozdnyakov, Michele Ceriotti:
Incompleteness of graph convolutional neural networks for points clouds in three dimensions. - Richmond Opoku-Sarkodie, Ferenc A. Bartha, Mónika Polner, Gergely Röst:
Dynamics of an SIRWS model with waning of immunity and varying immune boosting period. - Krzysztof Rusek, Mathias Drton:
Fine-grained network traffic prediction from coarse data. - Anina Gruica, Alberto Ravagnani, John Sheekey, Ferdinando Zullo:
Rank-Metric Codes, Semifields, and the Average Critical Problem. - Taoli Cheng, Aaron C. Courville:
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging. - Mustafa Doger, Sennur Ulukus:
Dynamical Dorfman Testing with Quarantine. - Kaihua Xi, Zhen Wang, Aijie Cheng, Hai-Xiang Lin, Jan H. van Schuppen, Chenghui Zhang:
Synchronization of Complex Network Systems with Stochastic Disturbances. - Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub:
Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images? - Alireza Rezazadeh, Yasamin Jafarian, Ali Kord:
Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Features. - Swathi Prabhu, Keerthana Prasad, Antonio Robles-Kelly, Xuequan Lu:
AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review. - Bekzhan Kerimkulov, James-Michael Leahy, David Siska, Lukasz Szpruch:
Convergence of policy gradient for entropy regularized MDPs with neural network approximation in the mean-field regime. - Arda Genc, Libor Kovarik, Hamish L. Fraser:
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials. - Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna:
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. - Gautam Rajendrakumar Gare, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti:
Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound. - Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti:
The Role of Pleura and Adipose in Lung Ultrasound AI. - Shancong Mou, Jianjun Shi:
Compressed Smooth Sparse Decomposition. - Kiran Koshy Thekumparampil, Niao He, Sewoong Oh:
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. - Lin Xiao:
On the Convergence Rates of Policy Gradient Methods. - Francesco La Rosa, Maxence Wynen, Omar Al-Louzi, Erin S. Beck, Till Huelnhagen, Pietro Maggi, Jean-Philippe Thiran, Tobias Kober, Russell T. Shinohara, Pascal Sati, Daniel S. Reich, Cristina Granziera, Martina Absinta, Meritxell Bach Cuadra:
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. - Aemilius A. W. van Vondelen, Alexandros Iliopoulos, Sachin Tejwant Navalkar, Daan C. van der Hoek, Jan-Willem van Wingerden:
Damping Identification of an Operational Offshore Wind Turbine using Enhanced Kalman filter-based Subspace Identification. - Toni Karvonen, Fehmi Cirak, Mark Girolami:
Error analysis for a statistical finite element method. - Ian B. Wood, Rion Brattig Correia, Wendy R. Miller, Luis M. Rocha:
Small Cohort of Epilepsy Patients Showed Increased Activity on Facebook before Sudden Unexpected Death. - Mareike Thies, Fabian Wagner, Mingxuan Gu, Lukas Folle, Lina Felsner, Andreas K. Maier:
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations. - Quentin Deschamps, Carl Feghali, Frantisek Kardos, Clément Legrand-Duchesne, Théo Pierron:
Strengthening a theorem of Meyniel. - Agostino Martinelli:
Nonlinear Unknown Input Observability and Unknown Input Reconstruction: The General Analytical Solution. - Jingwang Li, Housheng Su:
Implicit Tracking-based Distributed Constraint-coupled Optimization. - Martin Balko, Marian Poljak:
On off-diagonal ordered Ramsey numbers of nested matchings. - Le Thi Khanh Hien, Dimitri Papadimitriou:
Multiblock ADMM for nonsmooth nonconvex optimization with nonlinear coupling constraints. - Peide Li, Seyyid Emre Sofuoglu, Tapabrata Maiti, Selin Aviyente:
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data. - Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright:
On the Complexity of a Practical Primal-Dual Coordinate Method. - Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling:
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I. - Célestin Coquidé, José Lages, Leonardo Ermann, Dima L. Shepelyansky:
COVID-19 impact on the international trade. - Akshay Thakur, Souvik Chakraborty:
Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification. - Martin Ekerå:
On the success probability of quantum order finding. - Mason A. Porter:
A Non-Expert's Introduction to Data Ethics for Mathematicians. - Mohammad Mahdi Azari, Sourabh Solanki, Symeon Chatzinotas, Mehdi Bennis:
THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs. - Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa:
Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health. - Tatiana Konstantinova, Lutz Wiegart, Maksim S. Rakitin, Anthony M. DeGennaro, Andi M. Barbour:
Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution. - Jianfei Li, Han Feng, Xiaosheng Zhuang:
Convolutional Neural Networks for Spherical Signal Processing via Spherical Haar Tight Framelets. - Hamza Amrani, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition. - Christoph Reisinger, Jonathan Tam:
Markov decision processes with observation costs. - Yifeng Xiong, Soon Xin Ng, Lajos Hanzo:
The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion. - Cooper Jacobus, Minjun Choi, Ralph Kube:
Machine-Learning enabled analysis of ELM filament dynamics in KSTAR. - Jessica Di Cocco, Bernardo Monechi:
Corrigendum and addendum to: How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning. - Harshvardhan Uppaluru, Hossein Rastgoftar:
Drones Practicing Mechanics. - Mojtaba Sahraee-Ardakan, Melikasadat Emami, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions. - Raimondas Galvelis, Alejandro Varela-Rial, Stefan Doerr, Roberto Fino, Peter K. Eastman, Thomas E. Markland, John D. Chodera, Gianni De Fabritiis:
NNP/MM: Fast molecular dynamics simulations with machine learning potentials and molecular mechanics. - Carlos Lozano, Jorge Ponsin:
Analytic Adjoint Solutions for the 2D Incompressible Euler Equations Using the Green's Function Approach. - Carlos Lozano, Jorge Ponsin:
Singularity and Mesh Divergence of Inviscid Adjoint Solutions at Solid Walls. - Konstantinos Tatsis, Vasilis K. Dertimanis, Eleni N. Chatzi:
Sequential Bayesian Inference for Uncertain Nonlinear Dynamic Systems: A Tutorial. - Loke Durocher, Panagiotis Karras, Andreas Pavlogiannis, Josef Tkadlec:
Invasion Dynamics in the Biased Voter Process. - Carmina Fjellström:
Long Short-Term Memory Neural Network for Financial Time Series. - Yubo Zhuang, Xiaohui Chen, Yun Yang:
Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clustering. - Khalid El-Awady:
Applicability of Large Corporate Credit Models to Small Business Risk Assessment. - Stefanos Bennett, Mihai Cucuringu, Gesine Reinert:
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market. - Giorgos Chasapis, Salil Singh, Tomasz Tkocz:
Entropies of sums of independent gamma random variables. - Alberto Racca, Luca Magri:
Statistical prediction of extreme events from small datasets. - Wen Shang, Vasilis Friderikos:
The Energy-Delay Pareto Front in Cache-enabled Integrated Access and Backhaul mmWave HetNets. - Lin Lin:
Lecture Notes on Quantum Algorithms for Scientific Computation. - Yue Sheng, Alnur Ali:
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization. - Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi:
Predictive Inference with Weak Supervision. - Subhroshekhar Ghosh, Soumendu Sundar Mukherjee:
Learning with latent group sparsity via heat flow dynamics on networks. - Prathik R. Kaundinya, Kamal Choudhary, Surya R. Kalidindi:
Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN). - Rajat Arora, Pratik Kakkar, Biswadip Dey, Amit Chakraborty:
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity. - Liuhua Zhang:
Improving Specificity in Mammography Using Cross-correlation between Wavelet and Fourier Transform. - Xiangyang Zhu, Kede Ma, Wufeng Xue:
Steerable Pyramid Transform Enables Robust Left Ventricle Quantification. - Qing Lyu, Christopher T. Whitlow, Ge Wang:
SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis. - Qiyang Han:
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions. - Cody Karcher, Robert Haimes:
A Method of Sequential Log-Convex Programming for Engineering Design. - Rosa Alcazar, Maria Alvarez, Rachel Arnold, Mentewab Ayalew, Lyle G. Best, Michael C. Campbell, Kamal Chowdhury, Katherine E. L. Cox, Christina Daulton, Youping Deng, Carla Easter, Karla Fuller, Shazia Tabassum Hakim, Ava M. Hoffman, Natalie Kucher, Andrew Lee, Joslynn Lee, Jeffrey T. Leek, Robert Meller, Loyda B. Méndez, Miguel P. Méndez-González, Stephen Mosher, Michele Nishiguchi, Siddharth Pratap, Tiffany Rolle, Sourav Roy, Rachel Saidi, Michael C. Schatz, Shurjo Sen, James Sniezek, Edu Suarez Martinez, Frederick Tan, Jennifer Vessio, Karriem Watson, Wendy Westbroek, Joseph Wilcox, Xianfa Xie:
Diversifying the Genomic Data Science Research Community. - Mallory Dolorfino, Cordelia Horch, Kelly Jabbusch, Ryan Martinez:
On Good Infinite Families of Toric Codes or the Lack Thereof. - Qiyu Hu, Shuhan Shi, Yunlong Cai, Guanding Yu:
DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning. - Óscar Pimentel, Pablo A. Estévez, Francisco Förster:
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves. - Junya Ikemoto, Toshimitsu Ushio:
Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation. - He Sun, Katherine L. Bouman, Paul Tiede, Jason J. Wang, Sarah Blunt, Dimitri Mawet:
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction. - Peixi Liu, Guangxu Zhu, Wei Jiang, Wu Luo, Jie Xu, Shuguang Cui:
Vertical Federated Edge Learning with Distributed Integrated Sensing and Communication. - Wenlong Mou, Koulik Khamaru, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan:
Optimal variance-reduced stochastic approximation in Banach spaces. - Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon:
Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators. - Koulik Khamaru, Eric Xia, Martin J. Wainwright, Michael I. Jordan:
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning. - Hewei Tang, Pengcheng Fu, Honggeun Jo, Su Jiang, Christopher S. Sherman, François P. Hamon, Nicholas A. Azzolina, Joseph P. Morris:
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR. - (Withdrawn) SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation.
- Adrien Richard:
Nilpotent dynamics on signed interaction graphs and weak converses of Thomas' rules. - Adrien Richard:
Positive and negative cycles in Boolean networks. - Suryanarayana Maddu, Quentin Vagne, Ivo F. Sbalzarini:
Learning deterministic hydrodynamic equations from stochastic active particle dynamics. - Ivana Nikoloska, Osvaldo Simeone:
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization. - Xiaoyu Ma, Sylvain Sardy, Nick Hengartner, Nikolai Bobenko, Yen Ting Lin:
A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks. - Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao:
A Comprehensive Study of Bug Fixes in Quantum Programs. - Mads Sloth Vinding, Torben Ellegaard Lund:
Clipped DeepControl: deep neural network two-dimensional pulse design with an amplitude constraint layer. - Poulami Somanya Ganguly, Felix Lucka, Holger Kohr, Erik Franken, Hermen Jan Hupkes, Kees Joost Batenburg:
SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography. - Jonas Wacker, Motonobu Kanagawa, Maurizio Filippone:
Improved Random Features for Dot Product Kernels. - Shuwen Yang, Tianyu Wen, Ziyao Li, Guojie Song:
Equivalent Distance Geometry Error for Molecular Conformation Comparison. - Vishwanatha M. Rao, Zihan Wan, David J. Ma, Pin-Yu Lee, Ye Tian, Andrew F. Laine, Jia Guo:
Improving Across-Dataset Brain Tissue Segmentation Using Transformer. - Jalal Mirakhorli:
Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI. - Marcin Brianski, James Davies, Bartosz Walczak:
Separating polynomial χ-boundedness from χ-boundedness. - Marouan Mizmizi, Reza Aghazadeh Ayoubi, Dario Tagliaferri, Kai Dong, Gian Guido Gentili, Umberto Spagnolini:
Conformal Metasurfaces: a Novel Solution for Vehicular Communications. - Jacopo Lenti, Giancarlo Ruffo:
Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate. - Nicholas LaRacuente, Kaitlin N. Smith, Poolad Imany, Kevin L. Silverman, Frederic T. Chong:
Short-Range Microwave Networks to Scale Superconducting Quantum Computation. - Cyril Koch, Taha Arbaoui, Yassine Ouazene, Farouk Yalaoui, Humbert De Brunier, Nicolas Jaunet, Antoine De Wulf:
A Matheuristic Approach for Solving a Simultaneous Lot Sizing and Scheduling Problem with Client Prioritization in Tire Industry. - Batuhan Arasli, Sennur Ulukus:
Dynamic Infection Spread Model Based Group Testing. - Michele Caselle, Elia Cellini, Alessandro Nada, Marco Panero:
Stochastic normalizing flows as non-equilibrium transformations. - Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul:
On the in vivo recognition of kidney stones using machine learning. - Dheeraj Peddireddy, Vipul Bansal, Zubin Jacob, Vaneet Aggarwal:
Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning. - Ryan K. Tan, Yang Liu, Lei Xie:
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective. - Moïse Blanchard, Romain Cosson, Steve Hanneke:
Universal Online Learning with Unbounded Losses: Memory Is All You Need. - Qiu-Shi Zhu, Jie Zhang, Zi-qiang Zhang, Ming-Hui Wu, Xin Fang, Li-Rong Dai:
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition. - Mohammed Rashid, Jeffrey A. Nanzer:
Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering. - Frederik Wenkel, Yimeng Min, Matthew J. Hirn, Michael Perlmutter, Guy Wolf:
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. - Xing-Yu Chen, Qiu-Shi Zhu, Jie Zhang, Li-Rong Dai:
Supervised and Self-supervised Pretraining Based COVID-19 Detection Using Acoustic Breathing/Cough/Speech Signals. - Yunhao Gao, Feng Gao, Junyu Dong, Heng-Chao Li:
SAR Image Change Detection Based on Multiscale Capsule Network. - Saiping Zhang, Luis Herranz, Marta Mrak, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang:
DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video. - Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas:
Modality Bank: Learn multi-modality images across data centers without sharing medical data. - Muni Sreenivas Pydi, Varun S. Jog:
The Many Faces of Adversarial Risk. - Deniz Mengu, Aydogan Ozcan:
Diffractive all-optical computing for quantitative phase imaging. - Christoph Lüders, Thomas Sturm, Ovidiu Radulescu:
ODEbase: A Repository of ODE Systems for Systems Biology. - Zhongyuan Lyu, Dong Xia:
Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures. - Dimitrios Panagopoulos:
Topological data analysis and clustering. - Shuo Sun, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An:
DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding. - Yiling Dong, Gregory Z. Gutin, Yuefang Sun:
Strong subgraph 2-arc-connectivity of Cartesian product of digraphs. - Attila Juhos:
CNN-based regularisation for CT image reconstructions. - Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Data-Centric Machine Learning in Quantum Information Science. - Yuanyuan Peng, Pengpeng Luan, Hongbin Tu, Xiong Li, Ping Zhou:
Pulmonary Fissure Segmentation in CT Images Based on ODoS Filter and Shape Features. - Chao Pan, Ryan Gabrys, Xujun Liu, Charles J. Colbourn, Olgica Milenkovic:
Balanced and Swap-Robust Trades for Dynamical Distributed Storage. - Qiaoling Ye, Arash A. Amini, Qing Zhou:
Distributed Learning of Generalized Linear Causal Networks. - Lin Zhou, Yun Wei, Alfred O. Hero III:
Asymptotics for Outlier Hypothesis Testing. - Sonain Jamil, Md. Jalil Piran, MuhibUr Rahman:
Learning-Driven Lossy Image Compression; A Comprehensive Survey. - Andrea Musso, Dirk Helbing:
How networks shape diversity for better or worse. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. - Claudio Esperança, Ronaldo Garcia, Dan Reznik:
Poncelet Spatio-Temporal Surfaces and Tangles. - Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele, Bhavesh Garg, Amit Sethi:
Perceptual cGAN for MRI Super-resolution. - Yifeng Xiong, Soon Xin Ng, Gui-Lu Long, Lajos Hanzo:
Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms. - Jesper Nederlof, Michal Pilipczuk, Karol Wegrzycki:
Bounding generalized coloring numbers of planar graphs using coin models. - Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka:
POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection. - Martin Avanzini, Georg Moser, Romain Péchoux, Simon Perdrix, Vladimir Zamdzhiev:
Quantum Expectation Transformers for Cost Analysis. - Jan Hubicka, Jaroslav Nesetril, Pablo Oviedo, Oriol Serra:
On the Homomorphism Order of Oriented Paths and Trees. - Pengfei Guo, Yiqun Mei, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer. - Devin C. Jean, Suk Jai Seo:
Fault-tolerant Locating-Dominating Sets on the Infinite King Grid. - Jiahao Huang, Yinzhe Wu, Huanjun Wu, Guang Yang:
Fast MRI Reconstruction: How Powerful Transformers Are? - Oliver Knill:
Analytic torsion for graphs. - Zhi-Ping Liu, Min-Gang Zhou, Wen-Bo Liu, Chen-Long Li, Jie Gu, Hua-Lei Yin, Zeng-Bing Chen:
Automated machine learning for secure key rate in discrete-modulated continuous-variable quantum key distribution. - Xurong Xie, Rukiye Ruzi, Xunying Liu, Lan Wang:
Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition. - Rem Hida, Masaki Hamada, Chie Kamada, Emiru Tsunoo, Toshiyuki Sekiya, Toshiyuki Kumakura:
Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end. - Xurong Xie, Xiang Sui, Xunying Liu, Lan Wang:
Investigation of Deep Neural Network Acoustic Modelling Approaches for Low Resource Accented Mandarin Speech Recognition. - Shivanshu Tripathi, Anoop Jain, Abhisek K. Behera:
A Partially Distributed Fixed-Time Economic Dispatch Algorithm with Kron's Modeled Power Transmission Losses. - Monisankha Pal, Aditya Raikar, Ashish Panda, Sunil Kumar Kopparapu:
Synthetic speech detection using meta-learning with prototypical loss. - Shaunette T. Ferguson, Teruyoshi Kobayashi:
Identifying the temporal dynamics of densification and sparsification in human contact networks. - A. Madhavaraj, Ramakrishnan Angarai Ganesan:
Data and knowledge-driven approaches for multilingual training to improve the performance of speech recognition systems of Indian languages. - Harald Schmid:
Computation of the eigenvalues for the angular and Coulomb spheroidal wave equation. - Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos:
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization. - Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun:
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. - Jingzu Yee, Akinori Yamanaka, Yoshiyuki Tagawa:
Image features of a splashing drop on a solid surface extracted using a feedforward neural network. - Kun Gao, Xuezao Ren, Lei Zhou, Junfang Zhu:
Automatic detection of multilevel communities in complex networks with a scalable community fitness function. - Dora V. Bulgakova, Anna E. Frid, Jérémy Scanvic:
Prefix palindromic length of the Sierpinski word. - Felix Meissen, Georgios Kaissis, Daniel Rueckert:
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. - Takuya Yoshioka, Xiaofei Wang, Dongmei Wang:
PickNet: Real-Time Channel Selection for Ad Hoc Microphone Arrays. - Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao:
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control. - Feng Ren, Xiao Ding, Min Zheng, Mikhail Korzinkin, Xin Cai, Wei Zhu, Alexey Mantsyzov, Alex Aliper, Vladimir Aladinskiy, Zhongying Cao, Shanshan Kong, Xi Long, Bonnie Hei Man Liu, Yingtao Liu, Vladimir Naumov, Anastasia Shneyderman, Ivan V. Ozerov, Ju Wang, Frank W. Pun, Alán Aspuru-Guzik, Michael Levitt, Alex Zhavoronkov:
AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small Molecule Inhibitor. - Hao Peng, An Liu, Jingcheng Huang, Jikai Liu, Lin Lu:
DH-Net: Deformed Microstructure Homogenization via 3D Convolutional Neural Networks. - Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv:
Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps. - Amr Zeedan, Tamer Khattab:
A Critical Review of Baseband Architectures for CubeSats Communication Systems. - Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác:
Linear Laws of Markov Chains with an Application for Anomaly Detection in Bitcoin Prices. - Valentino Vito:
A note on increasing paths in countable hypergraphs. - Vanio Markov, Charlee Stefanski, Abhijit Rao, Constantin Gonciulea:
A Generalized Quantum Inner Product and Applications to Financial Engineering. - Xiuheng Wang, Jie Chen, Cédric Richard:
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion. - Nilgün Sengöz, Tuncay Yigit, Özlem Özmen, Ali Hakan Isik:
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network. - Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in Medical Imaging: A Survey. - Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoder. - Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate, Kia Dashtipour, Yu Tsao, Xugang Lu, Ahsan Adeel, Amir Hussain:
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement. - Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L. F. Abbott:
Input correlations impede suppression of chaos and learning in balanced rate networks. - Jose Agudelo, Brooke Dippold, Ian Klein, Alex Kokot, Eric Geiger, Irina A. Kogan:
Euclidean and Affine Curve Reconstruction. - Dianxin Luan, John Thompson:
Low Complexity Channel estimation with Neural Network Solutions. - Michael Günther, Andreas Brendel, Walter Kellermann:
Microphone Utility Estimation in Acoustic Sensor Networks using Single-Channel Signal Features. - Aditya Saxena, Shamsheer Pal Singh:
A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks. - Ruyi Qu, Yi Yang, Yuwei Wang:
COVID-19 Detection Using CT Image Based On YOLOv5 Network. - Liang Lu, Jinyu Li, Yifan Gong:
Endpoint Detection for Streaming End-to-End Multi-talker ASR. - Oscar López, Daniel M. Dunlavy, Richard B. Lehoucq:
Zero-Truncated Poisson Regression for Zero-Inflated Multiway Count Data. - Yankai Lin, Iman Shames, Dragan Nesic:
Online Convex Optimization Using Coordinate Descent Algorithms. - Alexander Thebelt, Johannes Wiebe, Jan Kronqvist, Calvin Tsay, Ruth Misener:
Maximizing information from chemical engineering data sets: Applications to machine learning. - Ziang Chen, Jianfeng Lu, Yulong Lu, Shengxuan Zhou:
A Regularity Theory for Static Schrödinger Equations on Rd in Spectral Barron Spaces. - Keqi Deng, Zehui Yang, Shinji Watanabe, Yosuke Higuchi, Gaofeng Cheng, Pengyuan Zhang:
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models. - Ethan Grooby, Chiranjibi Sitaula, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad:
Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds. - Rutvij Wamanse, Tushuli Patil:
Analysis of various climate change parameters in India using machine learning. - Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti:
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection. - Emiru Tsunoo, Chaitanya Narisetty, Michael Hentschel, Yosuke Kashiwagi, Shinji Watanabe:
Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR. - Lintao Ye, Ming Chi, Zhi-Wei Liu, Vijay Gupta:
Online Actuator Selection and Controller Design for Linear Quadratic Regulation over a Finite Horizon. - Thomas Häner, Mathias Soeken:
The multiplicative complexity of interval checking. - Wenyong Huang, Zhenhe Zhang, Yu Ting Yeung, Xin Jiang, Qun Liu:
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training. - Spyridon Pougkakiotis, Jacek Gondzio:
A semismooth Newton-proximal method of multipliers for 𝓁1-regularized convex quadratic programming. - Tharaj Thaj, Emanuele Viterbo:
Unitary-Precoded Single-Carrier Waveforms for High Mobility: Detection and Channel Estimation. - Rosa Arboretti Giancristofaro, Riccardo Ceccato, Luca Pegoraro, Luigi Salmaso:
Design choice and machine learning model performances. - Chao Zhang, Bo Li, Zhiyun Lu, Tara N. Sainath, Shuo-Yiin Chang:
Improving the fusion of acoustic and text representations in RNN-T. - Tomás Fürst, Anna Minarovicová, Frantiska Sandroni, Jakub Dostal:
How to be an extremist. - Chaoyang Zhang, Shaojie Chang, Ti Bai, Xi Chen:
S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement. - Luis F. Abanto-Leon, Arash Asadi, Gek Hong Sim, Andres Garcia-Saavedra, Matthias Hollick:
RadiOrchestra: Proactive Management of Millimeter-wave Self-backhauled Small Cells via Joint Optimization of Beamforming, User Association, Rate Selection, and Admission Control. - Anastasia Papavasiliou, Theodore Papamarkou, Yang Zhao:
The Inverse Problem for Controlled Differential Equations. - Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro:
Mutual information neural estimation for unsupervised multi-modal registration of brain images. - Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly:
Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images. - Ge Chen, Hongcai Zhang, Hongxun Hui, Yonghua Song:
Chance-constrained regulation capacity offering for HVAC systems under non-Gaussian uncertainties with mixture-model-based convexification. - Ge Chen, Hongcai Zhang, Yonghua Song:
Chance-constrained DC Optimal Power Flow with Non-Gaussian Distributed Uncertainties. - Fabian Wagner, Mareike Thies, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Mayank Patwari, Stefan B. Ploner, Oliver Aust, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography. - Michael Levin:
Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds. - Johanna Rock, Wolfgang Roth, Máté Tóth, Paul Meissner, Franz Pernkopf:
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation. - Artem Gorodetskii, Ivan Ozhiganov:
Zero-Shot Long-Form Voice Cloning with Dynamic Convolution Attention. - Víctor Navarro-Fernández, André Schlichting:
Error estimates for a finite volume scheme for advection-diffusion equations with rough coefficients. - Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada:
Plaque segmentation via masking of the artery wall. - Alexandre Moly, Thomas Costecalde, Félix Martel, Christelle Larzabal, Serpil Karakas, Alexandre Verney, Guillaume Charvet, Stéphan Chabardès, Alim-Louis Benabid, Tetiana Aksenova:
An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic. - Atsushi Nitanda, Denny Wu, Taiji Suzuki:
Convex Analysis of the Mean Field Langevin Dynamics. - Igor G. Vladimirov, Ian R. Petersen:
State-space computation of quadratic-exponential functional rates for linear quantum stochastic systems. - Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst:
Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. - Nuno C. Martins, Jair Certorio, Richard J. La:
Epidemic Population Games And Evolutionary Dynamics. - Akshay Mete, Rahul Singh, P. R. Kumar:
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems. - Charlie Kirkwood, Theo Economou, Henry Odbert, Nicolas Pugeault:
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data. - Ming Gao, Wai Ming Tai, Bryon Aragam:
Optimal estimation of Gaussian DAG models. - Ashish Arya, Ludmila Botelho, Fabiola Cañete, Dhruvi Kapadia, Özlem Salehi:
Music Composition Using Quantum Annealing. - Renato Portugal:
Basic Quantum Algorithms. - Natalia G. Berloff:
Complex matter field universal models with optimal scaling for solving combinatorial optimization problems. - Christopher Rieser, Peter Filzmoser:
Extending compositional data analysis from a graph signal processing perspective. - Zexin Cai, Ming Li:
Invertible Voice Conversion. - Minling Feng, Kunpeng Wu, Shaofeng Lu:
A fast-solved model for energy-efficient train control based on convex optimization. - Sangyun Lee, Sewoong Ahn, Kwangjin Yoon:
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution. - Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. - Tianyu Wang:
Towards Sharp Stochastic Zeroth Order Hessian Estimators over Riemannian Manifolds. - Chenda Li, Lei Yang, Weiqin Wang, Yanmin Qian:
SkiM: Skipping Memory LSTM for Low-Latency Real-Time Continuous Speech Separation. - Uwe Sunde, Dainis Zegners, Anthony Strittmatter:
Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence. - Xu Zhang, Lianwu Chen, Xiguang Zheng, Xinlei Ren, Chen Zhang, Liang Guo, Bing Yu:
A two-step backward compatible fullband speech enhancement system. - Alexander Koplenig, Sascha Wolfer:
Both the validity of the cultural tightness index and the association with creativity and order are spurious - a comment on Jackson et al. - Yi Guo, Xuejiao Han, Xinyang Zhou, Gabriela Hug:
Incorporate Day-ahead Robustness and Real-time Incentives for Electricity Market Design. - Emanuel A. Lazar, Jiayin Lu, Chris H. Rycroft:
Voronoi cell analysis: The shapes of particle systems. - Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning. - Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub:
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification. - Jakeoung Koo, Abderrahim Halimi, Steve McLaughlin:
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems. - Jaroslaw Adam Miszczak:
Constructing games on networks for controlling the inequalities in the capital distribution. - Hoai Nguyen Huynh, Muhamad Azfar Bin Ramli:
Urban Landscape from the Structure of Road Network: A Complexity Perspective. - Srinivas Desamsetti, Hari Prasad Dasari, Sabique Langodan, Yesubabu Viswanadhapalli, Raju Attada, Thang M. Luong, Omar M. Knio, Edriss S. Titi, Ibrahim Hoteit:
Enhanced Simulation of the Indian Summer Monsoon Rainfall Using Regional Climate Modeling and Continuous Data Assimilation. - Nael Alsaleh, Bilal Farooq:
The Impact of COVID-19 Pandemic on Ridesourcing Services Differed Between Small Towns and Large Cities. - Georg Hille, Shubham Agrawal, Christian Wybranski, Maciej Pech, Alexey Surov, Sylvia Saalfeld:
Joint Liver and Hepatic Lesion Segmentation using a Hybrid CNN with Transformer Layers. - Pierre-Alexandre Mattei, Jes Frellsen:
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives. - Jue Jiang, Harini Veeraraghavan:
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs. - Han Liu, Kathryn L. Holloway, Dario J. Englot, Benoit M. Dawant:
A Multi-rater Comparative Study of Automatic Target Localization Methods for Epilepsy Deep Brain Stimulation Procedures. - Shiqi Huang, Jianan Li, Yuze Xiao, Ning Shen, Tingfa Xu:
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation. - Uzi Pereg, Johannes Rosenberger, Christian Deppe:
Identification Over Quantum Broadcast Channels. - Lan V. Truong:
Generalization Error Bounds on Deep Learning with Markov Datasets. - Sarah Arpin, Mingjie Chen, Kristin E. Lauter, Renate Scheidler, Katherine E. Stange, Ha T. N. Tran:
Orienteering with one endomorphism. - Christopher Warner, Kiersten Ruda, Friedrich T. Sommer:
A probabilistic latent variable model for detecting structure in binary data. - Pranshu Chaturvedi, Asad Khan, Minyang Tian, Eliu A. Huerta, Huihuo Zheng:
Inference-optimized AI and high performance computing for gravitational wave detection at scale. - Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Jiazhang Lian, Qiang Zhang, Huajun Chen:
OntoProtein: Protein Pretraining With Gene Ontology Embedding. - Shahriar Talebi, Mehran Mesbahi:
Policy Optimization over Submanifolds for Constrained Feedback Synthesis. - Bastian Boll, Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Self-Certifying Classification by Linearized Deep Assignment. - Minoru Kusaba, Chang Liu, Ryo Yoshida:
Crystal structure prediction with machine learning-based element substitution. - Yanxi Chen, H. Vincent Poor:
Learning Mixtures of Linear Dynamical Systems. - Olusola Tolulope Odeyomi, Gergely V. Záruba:
Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture. - Ryan Zhang, Jiadai Zhu, Stephen Yang, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. Plataniotis:
HistoKT: Cross Knowledge Transfer in Computational Pathology. - Ruxin Xu, Huiru Wang:
Multi-view learning with privileged weighted twin support vector machine. - Alvaro Joaquín Gaona, Pedro David Arini:
Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features. - Quynh The Nguyen, Bobak Toussi Kiani, Seth Lloyd:
Quantum algorithm for dense kernel matrices using hierarchical splitting. - Luzhe Huang, Xilin Yang, Tairan Liu, Aydogan Ozcan:
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network. - Adrian Redder, Arunselvan Ramaswamy, Holger Karl:
Distributed gradient-based optimization in the presence of dependent aperiodic communication. - Shuang Feng, Li-Yong Shen:
Rational Solutions of First Order Algebraic Ordinary Differential Equations. - Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello:
Phase Retrieval for Radar Waveform Design. - Dionne Takudzwa Chasi, Mkhuseli Ngxande:
Multi-Frame Quality Enhancement On Compressed Video Using Quantised Data of Deep Belief Networks. - Huan Li, Zhouchen Lin:
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε-7/4) Complexity. - Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset. - Adrien Leleu, J.-B. Delisle, Rosemary A. Mardling, S. Udry, G. Chatel, Y. Alibert, Patrick Eggenberger:
Alleviating the Transit Timing Variations bias in transit surveys. II. RIVERS: Twin resonant Earth-sized planets around Kepler-1972 recovered from Kepler's false positive. - Hung Truong, Thomas Engels, Henja Wehmann, Dmitry Kolomenskiy, Fritz-Olaf Lehmann, Kai Schneider:
An experimental data-driven mass-spring model of flexible Calliphora wings. - Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, Shashanka Ubaru:
Efficient Quantum Computation of the Fermionic Boundary Operator. - Bhavin Choksi, Milad Mozafari, Rufin VanRullen, Leila Reddy:
Multimodal neural networks better explain multivoxel patterns in the hippocampus. - Giuliano Taffoni, Ugo Becciani, Annalisa Bonafede, Etienne Bonnassieux, Gianfranco Brunetti, Marisa Brienza, Claudio Gheller, Stefano Alberto Russo, Fabio Vitello:
A distributed computing infrastructure for LOFAR Italian community. - Pierre Aboulker, Guillaume Aubian, Chien-Chung Huang:
Vizing's and Shannon's Theorems for defective edge colouring. - Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry:
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition. - Yufei Liu, Rao Ma, Haihua Xu, Yi He, Zejun Ma, Weibin Zhang:
Internal language model estimation through explicit context vector learning for attention-based encoder-decoder ASR. - Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling:
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. - Hédy Attouch, Jalal Fadili:
From the Ravine method to the Nesterov method and vice versa: a dynamical system perspective. - Taouba Jouini:
Grid-friendly Matching Control of Synchronous Machines by DC/AC Converters in Bulk Power Networks. - Simon J. Ward, Tengfei Cao, Xiang Zhou, Catie Chang, Sharon M. Weiss:
Capture Agent Free Biosensing using Porous Silicon Arrays and Machine Learning. - Steve Huntsman:
Parallel black-box optimization of expensive high-dimensional multimodal functions via magnitude. - Yuteng Zhu, Graham D. Finlayson:
Matched Illumination. - Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus:
Simplicial Convolutional Filters. - François Ollivier, Brahim Sadik:
A simple and constructive proof to a generalization of Lüroth's theorem. - Fernando Martín Rodríguez, Fernando Isasi de Vicente:
PRNU Based Source Camera Identification for Webcam and Smartphone Videos. - Jorge Medina, Roberto Rojas-Cessa, Vatcharapan Umpaichitra:
Reducing COVID-19 Cases and Deaths by Applying Blockchain in Vaccination Rollout Management. - James E. Yoder, Todd E. Humphreys:
Low-Cost Inertial Aiding for Deep-Urban Tightly-Coupled Multi-Antenna Precise GNSS. - Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song:
Denoising Diffusion Restoration Models. - Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. - Shane Walsh, Alex Frost, William Anderson, Toby Digney, Benjamin Dix-Matthews, David R. Gozzard, Charles T. Gravestock, Lewis Howard, Skevos F. E. Karpathakis, Ayden McCann, Sascha W. Schediwy:
The Western Australian Optical Ground Station. - William Franz Lamberti:
Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features. - Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Calibrating Histopathology Image Classifiers using Label Smoothing. - Mohamed Tarek, Yijiang Huang:
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization. - Oliver M. Cliff, Joseph T. Lizier, Naotsugu Tsuchiya, Ben D. Fulcher:
Unifying Pairwise Interactions in Complex Dynamics. - François G. Meyer:
Sharp Threshold for the Frechet Mean (or Median) of Inhomogeneous Erdos-Renyi Random Graphs. - Seenivasan Lalithkumar, Sai Mitheran, Mobarakol Islam, Hongliang Ren:
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding. - Songxiang Liu, Dan Su, Dong Yu:
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs. - Théo Ryffel, Francis R. Bach, David Pointcheval:
Differential Privacy Guarantees for Stochastic Gradient Langevin Dynamics. - Håkan Carlsson, Isaac Skog, Gustaf Hendeby, Joakim Jaldén:
Inertial Navigation Using an Inertial Sensor Array. - Dun Wang, Kaixuan Guo, Yanying Zhu, Jia Sun, Aliona Dreglea, Jiao Yu:
Computer-aided Recognition and Assessment of a Porous Bioelastomer on Ultrasound Images for Regenerative Medicine Applications. - Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan:
Deep Networks for Image and Video Super-Resolution. - Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan:
Image Superresolution using Scale-Recurrent Dense Network. - Federico Castelletti, Alessandro Mascaro:
BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs. - Florian Mouret, Alexandre Hippert-Ferrer, Frédéric Pascal, Jean-Yves Tourneret:
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. - Kishan Gupta, Srikanth Korse, Bernd Edler, Guillaume Fuchs:
A DNN Based Post-Filter to Enhance the Quality of Coded Speech in MDCT Domain. - Piotr Klukowski, Roland Riek, Peter Güntert:
Leveraging deep learning for fully automated NMR protein structure determination. - Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou, Marco Di Renzo:
Outage performance analysis of RIS-assisted UAV wireless systems under disorientation and misalignment. - Edric Tam, David B. Dunson:
Multiscale Graph Comparison via the Embedded Laplacian Distance. - Ayush Bharti, Louis Filstroff, Samuel Kaski:
Approximate Bayesian Computation with Domain Expert in the Loop. - Julián Tachella, Dongdong Chen, Mike E. Davies:
Sampling Theorems for Learning from Incomplete Measurements. - Nolann Lainé, Guillaume Zahnd, Hervé Liebgott, Maciej Orkisz:
Carotid artery wall segmentation in ultrasound image sequences using a deep convolutional neural network. - Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy:
Measure Estimation in the Barycentric Coding Model. - Sean Deyo:
Solving a percolation inverse problem with a divide-and-concur algorithm. - M. Alamgir Hossain, Sam Pimentel, John M. Stockie:
Simulating surface height and terminus position for marine outlet glaciers using a level set method with data assimilation. - Dimuthu Wannipurage, Indrajit Deb, Eroma Abeysinghe, Sudhakar Pamidighantam, Suresh Marru, Marlon E. Pierce, Aaron T. Frank:
Experiences with managing data parallel computational workflows for High-throughput Fragment Molecular Orbital (FMO) Calculations. - Laurine Bénéteau, Jérémie Chalopin, Victor Chepoi, Yann Vaxès:
Graphs with Gp-connected medians. - Maria Chiara Fiorentino, Francesca Pia Villani, Mariachiara Di Cosmo, Emanuele Frontoni, Sara Moccia:
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis. - Nadezhda I. Aleksandrova:
The propagation of transient waves in two-dimensional square lattices. - Taylan Kabbani, Fatih Enes Usta:
Predicting The Stock Trend Using News Sentiment Analysis and Technical Indicators in Spark. - Ivan Letteri, Giuseppe Della Penna, Giovanni De Gasperis, Abeer Dyoub:
A Stock Trading System for a Medium Volatile Asset using Multi Layer Perceptron. - Effat Ara Easmin Lucky, Md Mahadi Hasan Sany, Mumenunnessa Keya, Md. Moshiur Rahaman, Umme Habiba Happy, Sharun Akter Khushbu, Md. Arid Hasan:
Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19. - Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen:
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction. - Vikraman Arvind, Ilia Ponomarenko, Grigory Ryabov:
Isomorphism testing of k-spanning tournaments is Fixed Parameter Tractable. - Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto:
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. - Simindokht Jahangard, Mahdi Bonyani, Abbas Khosravi:
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation. - Nathan C. Frey, Vijay Gadepally, Bharath Ramsundar:
FastFlows: Flow-Based Models for Molecular Graph Generation. - Noah Shutty, Christopher Chamberland:
Finding fault-tolerant Clifford circuits using SMT solvers. - Yue Wan, Benben Liao, Chang-Yu Hsieh, Shengyu Zhang:
Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer. - Thomas Yu, Tom Hilbert, Gian Franco Piredda, Arun Joseph, Gabriele Bonanno, Salim Zenkhri, Patrick Omoumi, Meritxell Bach Cuadra, Erick Jorge Canales-Rodríguez, Tobias Kober, Jean-Philippe Thiran:
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI. - Priya Batra, M. Harshant Ram, T. S. Mahesh:
Recommender System Expedited Quantum Control Optimization. - Huy Phan, Thi Ngoc Tho Nguyen, Philipp Koch, Alfred Mertins:
Polyphonic audio event detection: multi-label or multi-class multi-task classification problem? - Mohammad Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar:
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. - Devsi Bantva, Samir Vaidya, Sanming Zhou:
Radio labelling of two-branch trees. - Elvin Isufi, Maosheng Yang:
Convolutional Filtering in Simplicial Complexes. - Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss. - Mitre Costa Dourado, Luciano N. Grippo, Martín D. Safe:
On the generalized Helly property of hypergraphs, cliques, and bicliques. - Zhan Gao, Elvin Isufi:
Learning Stochastic Graph Neural Networks with Constrained Variance. - Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. - Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Error Rates for Kernel Classification under Source and Capacity Conditions. - Bing-Jia Chen, Ronald Y. Chang:
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization. - Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos:
Identification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning. - Jake S. Rhodes, Adele Cutler, Kevin R. Moon:
Geometry- and Accuracy-Preserving Random Forest Proximities. - Alexandre Cortiella, Kwang-Chun Park, Alireza Doostan:
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study. - Ganzhao Yuan:
Coordinate Descent Methods for Fractional Minimization. - Changwoo J. Lee, Huiyan Sang:
Why the Rich Get Richer? On the Balancedness of Random Partition Models. - Iurii S. Nagornov:
Approximate Bayesian Computation Based on Maxima Weighted Isolation Kernel Mapping. - Tianrui Wang, Weibin Zhu, Yingying Gao, Junlan Feng, Shilei Zhang:
HGCN: harmonic gated compensation network for speech enhancement. - Saeed Ranjbar Alvar, Ivan V. Bajic:
Practical Noise Simulation for RGB Images. - Tony Stillfjord, Måns Williamson:
SRKCD: a stabilized Runge-Kutta method for stochastic optimization. - Jiangyun Li, Wenxuan Wang, Chen Chen, Tianxiang Zhang, Sen Zha, Hong Yu, Jing Wang:
TransBTSV2: Wider Instead of Deeper Transformer for Medical Image Segmentation. - David I. Spivak:
Polynomial functors and Shannon entropy. 331-343 - Yulin Liu, Luyao Zhang:
Cryptocurrency Valuation: An Explainable AI Approach. - Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov:
ClearingPayments in Dynamic Financial Networks. - Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco:
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. - Oswin So, Kyle Stachowicz, Evangelos A. Theodorou:
Multimodal Maximum Entropy Dynamic Games. - Mathieu Roget, Hachem Kadri, Giuseppe Di Molfetta:
Spatial search with multiple marked vertices is optimal for almost all queries and its quantum advantage is not always guaranteed. - Sophie MacDonald:
The road problem and homomorphisms of directed graphs. - Vedika Saravanan, Samah Mohamed Saeed:
Pauli Error Propagation-Based Gate Reschedulingfor Quantum Circuit Error Mitigation. - Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. - Jacqueline Wentz, Alireza Doostan:
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs. - Mehrdad Pournaderi, Yu Xiang:
Communication-Efficient Distributed Multiple Testing for Large-Scale Inference. - Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi, Lorenzo Rosasco:
Nyström Kernel Mean Embeddings. - Srikanth Korse, Nicola Pia, Kishan Gupta, Guillaume Fuchs:
PostGAN: A GAN-Based Post-Processor to Enhance the Quality of Coded Speech. - Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi:
Bayesian Optimization for Distributionally Robust Chance-constrained Problem. - Cheng Fang, Yubin Lu, Ting Gao, Jinqiao Duan:
An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable Lévy noise. - Alexander G. de G. Matthews, Michael Arbel, Danilo J. Rezende, Arnaud Doucet:
Continual Repeated Annealed Flow Transport Monte Carlo. - Shailesh Garg, Harshit Gupta, Souvik Chakraborty:
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems. - Janek Ebbers, Romain Serizel, Reinhold Haeb-Umbach:
Threshold Independent Evaluation of Sound Event Detection Scores. - Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl:
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection. - Jiayue Xu:
A hybrid deep learning approach for purchasing strategy of carbon emission rights - Based on Shanghai pilot market. - Zhenyu Wang, John H. L. Hansen:
Impact of Naturalistic Field Acoustic Environments on Forensic Text-independent Speaker Verification System. - Quanlong Wang, Richie Yeung:
Differentiating and Integrating ZX Diagrams. - Samuel Hurault, Arthur Leclaire, Nicolas Papadakis:
Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization. - Giovanni Luca Torrisi, Michele Garetto, Emilio Leonardi:
Bootstrap percolation on the stochastic block model. - Iasson Karafyllis, Filippos Vokos, Miroslav Krstic:
Output-Feedback Control of Viscous Liquid-Tank System and its Numerical Approximation. - Xuan Kien Phung:
On asynchronous non-uniform cellular automata and sofic groups. - Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan:
A Regret Minimization Approach to Multi-Agent Contro. - Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma:
Directed Weight Neural Networks for Protein Structure Representation Learning. - Marina S. Apanovich, Alexander P. Lyapin, Konstantin V. Shadrin:
Solving the Cauchy problem for a three-dimensional difference equation in a parallelepiped. - Ke Yue, Nicholas Schwarz, Jonathan Z. Tischler:
Accelerating Laue Depth Reconstruction Algorithm with CUDA. - Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos, Ioannis G. Kevrekidis, Constantinos I. Siettos:
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach. - Sanjukta Krishnagopal:
The collective vs individual nature of mountaineering: a network and simplicial approach. - Stéphane Gaïffas, Ibrahim Merad:
Robust supervised learning with coordinate gradient descent. - Antonio Jiménez-Pastor, Joshua Paul Jacob, Gleb Pogudin:
Exact linear reduction for rational dynamical systems. - Corentin Briat, Mustafa Khammash:
On the Innocuousness of Deterministic p-type Antithetic Integral Controllers Arising in Integral Rein Control. - Rafael R. S. Guimaraes:
Deep Learning Macroeconomics. - Bruno Loureiro, Cédric Gerbelot, Maria Refinetti, Gabriele Sicuro, Florent Krzakala:
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension. - Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev:
Spectral image clustering on dual-energy CT scans using functional regression mixtures. - Mathieu Dagréou, Pierre Ablin, Samuel Vaiter, Thomas Moreau:
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms. - Clemens Heuberger, Daniel Krenn, Gabriel F. Lipnik:
A Note on the Relation between Recognisable Series and Regular Sequences, and their Minimal Linear Representations. - Lior Eldar, Sean Hallgren:
An efficient quantum algorithm for lattice problems achieving subexponential approximation factor. - (Withdrawn) Optimally compressing VC classes.
- Jens Eisert, Mark M. Wilde:
A smallest computable entanglement monotone. - Alexandru Gheorghiu, Tony Metger, Alexander Poremba:
Quantum cryptography with classical communication: parallel remote state preparation for copy-protection, verification, and more. - Mohammad Hatami, Markus Leinonen, Zheng Chen, Nikolaos Pappas, Marian Codreanu:
On-Demand AoI Minimization in Resource-Constrained Cache-Enabled IoT Networks with Energy Harvesting Sensors. - Ross Hyman, T. Nicolaus Tideman:
A New Perspective on Impartial and Unbiased Apportionment. - Raisa Fabiha, Jonathan Lundquist, Sudip Majumder, Erdem Topsakal, Anjan Barman, Supriyo Bandyopadhyay:
Spin Wave Electromagnetic Nano-Antenna Enabled by Tripartite Phonon-Magnon-Photon Coupling. - Ludovico Lami, Daniel Goldwater, Gerardo Adesso:
A Post-Quantum Associative Memory. - Ankit Shrivastava, Jingxiao Liu, Kaushik Dayal, Hae Young Noh:
Predicting Peak Stresses In Microstructured Materials Using Convolutional Encoder-Decoder Learning.
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