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ORCIDCoRR, February 2020
- Jakkepalli Pavan Kumar, P. Venkata Subba Reddy:
Algorithmic Aspects of Some Variants of Domination in Graphs. - Abdellatif Zaidi, Inaki Estella Aguerri, Shlomo Shamai:
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views. - Thomas Seiller:
Probabilistic Complexity Classes through Semantics. - Tankut Can, Kamesh Krishnamurthy, David J. Schwab:
Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs. - Marcos Eduardo Valle, Rodolfo Anibal Lobo:
Hypercomplex-Valued Recurrent Correlation Neural Networks. - Mohammad Tahan, Tingshu Hu:
Multiple string LED driver with flexible and high performance PWM dimming control. - Björn Engquist, Yunan Yang:
Optimal Transport Based Seismic Inversion: Beyond Cycle Skipping. - Parker Riley, Daniel Gildea:
Unsupervised Bilingual Lexicon Induction Across Writing Systems. - James Usevitch, Dimitra Panagou:
Resilient Finite Time Consensus: A Discontinuous Systems Perspective. - Abhishek Kumar, Ben Poole:
On Implicit Regularization in β-VAEs. - Timothy M. Herr, Therese A. Nelson, Justin B. Starren:
Design Principles and Clinician Preferences for Pharmacogenomic Clinical Decision Support Alerts. - Timothy M. Herr, Therese A. Nelson, Luke V. Rasmussen, Yinan Zheng, Nicola Lancki, Justin B. Starren:
Design Principles Developed through User-Centered and Socio-Technical Methods Improve Clinician Satisfaction, Speed, and Confidence in Pharmacogenomic Clinical Decision Support. - Claude Carlet, Kwang Ho Kim, Sihem Mesnager:
A direct proof of APN-ness of the Kasami functions. - João E. Batista, Sara Silva:
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. - Noah Golowich, Sarath Pattathil, Constantinos Daskalakis, Asuman E. Ozdaglar:
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems. - Xing Chu, Na Huang, Zhiyong Sun:
Event triggering control for dynamical systems with designable minimum inter-event time. - Santiago Gonzalez, Risto Miikkulainen:
Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. - Guillaume Sagnol, Daniel Schmidt genannt Waldschmidt:
Stochastic Extensible Bin Packing. - Vítor Albiero, Krishnapriya K. S, Kushal Vangara, Kai Zhang, Michael C. King, Kevin W. Bowyer:
Analysis of Gender Inequality In Face Recognition Accuracy. - Alexandra Koulouri
, Ville Rimpiläinen:
Simultaneous Skull Conductivity and Focal Source Imaging from EEG Recordings with the help of Bayesian Uncertainty Modelling. - Ryan Smith, Daniel Palin, Philokypros P. Ioulianou, Vassilios G. Vassilakis, Siamak F. Shahandashti:
Battery draining attacks against edge computing nodes in IoT networks. - Cole Franks, Ankur Moitra:
Rigorous Guarantees for Tyler's M-estimator via quantum expansion. - Sami Khairy, Prasanna Balaprakash, Lin X. Cai, Yu Cheng:
Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA. - Victor P. DeCaria, Michael Schneier:
An embedded variable step IMEX scheme for the incompressible Navier-Stokes equations. - Tim Mitchell:
Convergence rate analysis and improved iterations for numerical radius computation. - Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Regret Minimization in Partially Observable Linear Quadratic Control. - Seokki Lee, Bertram Ludäscher, Boris Glavic:
Approximate Summaries for Why and Why-not Provenance (Extended Version). - Li Xiao, Xiang-Gen Xia, Yu-Ping Wang:
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). - Scott A. Carter, Daniel Avrahami, Nami Tokunaga:
Using Inaudible Audio to Improve Indoor-Localization- and Proximity-Aware Intelligent Applications. - Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng:
Hybrid Graph Neural Networks for Crowd Counting. - Xinyue Hu, Haoji Hu, Saurabh Verma, Zhi-Li Zhang:
Physics-Guided Deep Neural Networks for PowerFlow Analysis. - Madhav Kumar, Dean Eckles, Sinan Aral:
Scalable bundling via dense product embeddings. - Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun:
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation. - Andrea Bonito, Ricardo H. Nochetto, Dimitrios Ntogkas:
Discontinuous Galerkin Approach to Large Bending Deformation of a Bilayer Plate with Isometry Constraint. - Andreas Grammenos, Aravindh Raman, Timm Böttger, Zafar Gilani, Gareth Tyson:
Dissecting the Workload of a Major Adult Video Portal. - Jeremy E. Kozdon, Brittany A. Erickson, Lucas C. Wilcox:
Hybridized Summation-By-Parts Finite Difference Methods. - Xingzhe He, Helen Lu Cao, Bo Zhu:
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing. - Qianming Xue, Wei Zhang, Hongyuan Zha:
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. - Aparna Khare, Shiva Sundaram, Minhua Wu:
Multi-channel Acoustic Modeling using Mixed Bitrate OPUS Compression. - Tatsuya Takemura, Naoto Yanai, Toru Fujiwara:
Model Extraction Attacks against Recurrent Neural Networks. - Mark Giesbrecht, Hui Huang, George Labahn, Eugene V. Zima:
Efficient q-Integer Linear Decomposition of Multivariate Polynomials. - Sanna Wager, Aparna Khare, Minhua Wu, Ken'ichi Kumatani, Shiva Sundaram:
Fully Learnable Front-End for Multi-Channel Acoustic Modeling using Semi-Supervised Learning. - Md. Khaja Mohiddin, V. B. S. Srilatha Indira Dutt:
An optimum energy consumption hybrid algorithm for xln strategic design in wsns. - Zhengzhe Liu, Xiaojuan Qi, Jiaya Jia, Philip H. S. Torr:
Global Texture Enhancement for Fake Face Detection in the Wild. - Lijun Yu, Peng Chen, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann:
Training-free Monocular 3D Event Detection System for Traffic Surveillance. - Yigit Alparslan, Mannika Kshettry, Louis Kratz:
Towards Evaluating Gaussian Blurring in Perceptual Hashing as a Facial Image Filter. - Abdullah Al-Mamun, Dongfang Zhao:
SciChain: Trustworthy Scientific Data Provenance. - Xiwei Liu:
Adaptive Finite Time Stability of Delayed Systems With Applications to Network Synchronization. - Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda:
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning. - Waqas Ahmed, Sheikh Muhammad Hizam, Ilham Sentosa, Habiba Akter, Eiad Yafi, Jawad Ali:
Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study. - Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. - Daniel Obmann, Johannes Schwab, Markus Haltmeier:
Deep synthesis regularization of inverse problems. - Mateen Ulhaq, Ivan V. Bajic:
Shared Mobile-Cloud Inference for Collaborative Intelligence. - Suyash Gupta, Sajjad Rahnama, Jelle Hellings, Mohammad Sadoghi:
ResilientDB: Global Scale Resilient Blockchain Fabric. - Xinyao Li, Changyun Wen, Ying Zou:
Adaptive Backstepping Control for Fractional-Order Nonlinear Systems with External Disturbance and Uncertain Parameters Using Smooth Control. - Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Cheng Niu, Jie Zhou:
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog. - Wei Hao Khoong:
Solving the Joint Order Batching and Picker Routing Problem for Large Instances. - Yuhang Jia, Chencheng Ye, Ying Cui:
Analysis and Optimization of an Intelligent Reflecting Surface-assisted System with Interference. - Chenggang Yan, Biao Gong, Yuxuan Wei, Yue Gao:
Deep Multi-View Enhancement Hashing for Image Retrieval. - Gayatri Venugopal-Wairagade, Jatinderkumar R. Saini, Dhanya Pramod:
Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma List. - Quan Hoang Lam, Quang-Duy Le, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning. - Bin Wen, Jie Luo, Xianglong Liu, Lei Huang:
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. - Pierre Wolinski, Guillaume Charpiat, Yann Ollivier:
Interpreting a Penalty as the Influence of a Bayesian Prior. - Zifei Zhang, Kai Qiao, Lingyun Jiang, Linyuan Wang, Bin Yan:
AdvJND: Generating Adversarial Examples with Just Noticeable Difference. - Yu-Ping Ruan, Zhen-Hua Ling, Jia-Chen Gu, Quan Liu:
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking. - Hui-Chu Xiao, Wan-Lei Zhao, Jie Lin, Chong-Wah Ngo:
Deeply Activated Salient Region for Instance Search. - Ulrich Berger, Hideki Tsuiki:
Intuitionistic Fixed Point Logic. - Jinxu Liu, Wei Gao, Zhanyi Hu:
Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM. - Zhenghang Wu, Yidong Cui:
Large Hole Image Inpainting With Compress-Decompression Network. - Xu Li, Xixin Wu, Xunying Liu, Helen Meng:
Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speech. - Shuo Zhang, Edgar Meij, Krisztian Balog, Ridho Reinanda:
Novel Entity Discovery from Web Tables. - Shuo Zhang, Krisztian Balog:
Web Table Extraction, Retrieval and Augmentation: A Survey. - Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. - Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen:
Learning to Detect Malicious Clients for Robust Federated Learning. - Yu-Siang Huang, Yi-Hsuan Yang:
Pop Music Transformer: Generating Music with Rhythm and Harmony. - Mohamed Akrout, Robert Steinbauer:
Machine Ethics: The Creation of a Virtuous Machine. - Sérgio Esteves, João Nuno de Oliveira e Silva, Luís Veiga:
Palpatine: Mining Frequent Sequences for Data Prefetching in NoSQL Distributed Key-Value Stores. - Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. - Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore:
State Estimation - The Role of Reduced Models. - Sodiq Adewole, Erfaneh Gharavi, Benjamin Shpringer, Martin Bolger, Vaibhav Sharma, Sung Ming Yang, Donald E. Brown:
Dialogue-based simulation for cultural awareness training. - Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi:
Bayesian Networks in Healthcare: Distribution by Medical Condition. - Xinsheng Wang, Shanmin Pang, Jihua Zhu:
Domain segmentation and adjustment for generalized zero-shot learning. - Qiuyu Zhu, Vincent Y. F. Tan:
Thompson Sampling Algorithms for Mean-Variance Bandits. - Qing Cheng:
The generalized scalar auxiliary variable approach (G-SAV) for gradient flows. - Eliya Nachmani, Lior Wolf:
Molecule Property Prediction and Classification with Graph Hypernetworks. - Piotr Janus, Tomasz Kryjak, Marek Gorgon:
Foreground object segmentation in RGB-D data implemented on GPU. - Alexander Schindler:
Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis. - Kevin Vermeulen, Burim Ljuma, Vamsi Addanki, Matthieu Gouel, Olivier Fourmaux, Timur Friedman, Reza Rejaie:
Alias Resolution Based on ICMP Rate Limiting. - Karthik Abinav Sankararaman, Aleksandrs Slivkins:
Advances in Bandits with Knapsacks. - Pushpak Jagtap, Abdalla Swikir, Majid Zamani:
Compositional Construction of Control Barrier Functions for Interconnected Control Systems. - Scott Payne, Edgar Fuller, Cun-Quan Zhang:
Edge-cuts Optimized for Average Weight: a new alternative to Ford and Fulkerson. - Mahesh Kumar Krishna Reddy, Mohammad Asiful Hossain, Mrigank Rochan, Yang Wang:
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. - David Heckerman:
A Tutorial on Learning With Bayesian Networks. - Guy Bresler, Dheeraj Nagaraj:
A Corrective View of Neural Networks: Representation, Memorization and Learning. - Yuan Yi, Wei Xie, Zhi Zhou, Keqi Wang:
Data-Driven Stochastic Optimization for Power Grids Scheduling under High Wind Penetration. - Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman:
Variational Item Response Theory: Fast, Accurate, and Expressive. - Andrew J. Christlieb, William Sands, Hyoseon Yang:
A Kernel-Based Explicit Unconditionally Stable Scheme for Hamilton-Jacobi Equations on Nonuniform Meshes. - Gergely Neu, Julia Olkhovskaya:
Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits. - Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp:
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. - Ramy Amer, Walid Saad, Boris Galkin, Nicola Marchetti:
Performance Analysis of Mobile Cellular-Connected Drones under Practical Antenna Configurations. - Aidin Ferdowsi, Walid Saad:
Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets. - Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang:
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. - Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Citation Text Generation. - Jingdong Li, Hui Zhang, Xueliang Zhang, Changliang Li:
Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks. - Eduardo Camps, Hiram H. López, Gretchen L. Matthews, Eliseo Sarmiento:
Polar decreasing monomial-Cartesian codes. - Song-Hai Zhang, Shao-Kui Zhang, Wei-Yu Xie, Cheng-Yang Luo, Hongbo Fu:
Fast 3D Indoor Scene Synthesis with Discrete and Exact Layout Pattern Extraction. - Jeongyeol Kwon, Constantine Caramanis:
EM Algorithm is Sample-Optimal for Learning Mixtures of Well-Separated Gaussians. - Yulan Gao, Chao Yong, Zehui Xiong, Jun Zhao, Yue Xiao, Dusit Niyato:
Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks. - Arun C. S. Kumar, Disha Ahuja, Ashwath Aithal:
3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface. - Niels Joubert, Tyler G. R. Reid, Fergus Noble:
Developments in Modern GNSS and Its Impact on Autonomous Vehicle Architectures. - Sungho Shin, Yoonho Boo, Wonyong Sung:
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks. - Marian Kleineberg, Matthias Fey, Frank Weichert:
Adversarial Generation of Continuous Implicit Shape Representations. - Xingwen Zhang, Feng Qi, Zhigang Hua, Shuang Yang:
Solving Billion-Scale Knapsack Problems. - Esam Alkaldy, Ali H. Majeed, Mohd Shamian Zainal, Danial Md. Nor:
Optimum multiplexer design in quantum-dot cellular automata. - Joonatan Mänttäri, Sofia Broomé, John Folkesson, Hedvig Kjellström:
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks. - Weiwei Xu, Michael K. Ng:
Singular Vectors From Singular Values. - Rupam Patir, Shubham Singhal, C. Anantaram, Vikram Goyal:
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation. - (Withdrawn) Autocorrelation of a class of quaternary sequences of period 2pm.
- Xiaoyi Qin, Ming Li, Hui Bu, Rohan Kumar Das, Wei Rao, Shrikanth Narayanan, Haizhou Li:
The FFSVC 2020 Evaluation Plan. - Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition and Applications. - Jan Richter, Bestoun S. Ahmed, Miroslav Bures, Cleber R. Rosa Junior:
Avocado: Open-Source Flexible Constrained Interaction Testing for Practical Application. - Biao Yang, Guocheng Yan, Pin Wang, Ching-Yao Chan, Xiaofeng Liu, Yang Chen:
A Novel Graph based Trajectory Predictor with Pseudo Oracle. - Davide Boscaini, Fabio Poiesi:
3D Shape Segmentation with Geometric Deep Learning. - He Chen, Qian Wang, Zheng Dong, Ning Zhang:
Multiuser Scheduling for Minimizing Age of Information in Uplink MIMO Systems. - Bestoun S. Ahmed, Angelo Gargantini, Miroslav Bures:
An Automated Testing Framework For Smart TV apps Based on Model Separation. - Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
Combating False Negatives in Adversarial Imitation Learning. - Kiran Tomlinson, Austin R. Benson:
Choice Set Optimization Under Discrete Choice Models of Group Decisions. - Ibrahim Abdelaziz, Veronika Thost, Maxwell Crouse, Achille Fokoue:
An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic. - Qinghui Zhang, Cu Cui:
Condensed Generalized Finite Element Method (CGFEM). - Eduardo C. Garrido-Merchán, Cristina Puente, Alejandro Sobrino, José A. Olivas:
Uncertainty Weighted Causal Graphs. - Ekim Yurtsever, Linda Capito, Keith A. Redmill, Ümit Özgüner:
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving. - Maciej Korczynski, Yevheniya Nosyk, Qasim Lone, Marcin Skwarek, Baptiste Jonglez, Andrzej Duda:
Don't Forget to Lock the Front Door! Inferring the Deployment of Source Address Validation of Inbound Traffic. - Bangalore Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez:
Deep Reinforcement Learning for Autonomous Driving: A Survey. - Chau Luu, Peter Bell, Steve Renals:
DropClass and DropAdapt: Dropping classes for deep speaker representation learning. - Safi Faizullah, Muhammad Asad Khan, Ali Alzahrani, Imdadullah Khan:
Permissioned Blockchain-Based Security for SDN in IoT Cloud Networks. - Ashutosh Bhatia, R. C. Hansdah:
A Classification Framework for TDMA Scheduling techniques in WSNs. - Xingxing Zou, Zhizhong Li, Ke Bai, Dahua Lin, Waikeung Wong:
Regularizing Reasons for Outfit Evaluation with Gradient Penalty. - Asad Ullah, Sarwan Ali, Imdadullah Khan, Muhammad Asad Khan, Safiullah Faizullah:
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal. - Andrea Adriani, Davide Bianchi, Stefano Serra-Capizzano:
Asymptotic spectra of large (grid) graphs with a uniform local structure. - Rolf Jagerman, Ilya Markov, Maarten de Rijke:
Safe Exploration for Optimizing Contextual Bandits. - Min Yee Teh, Shizhen Zhao, Keren Bergman:
METTEOR: Robust Multi-Traffic Topology Engineering for Commercial Data Center Networks. - Konstantinos Drossos, Stylianos Ioannis Mimilakis, Shayan Gharib, Yanxiong Li, Tuomas Virtanen:
Sound Event Detection with Depthwise Separable and Dilated Convolutions. - Alptekin Orbay, Lale Akarun:
Neural Sign Language Translation by Learning Tokenization. - Håkon Hoel, Gaukhar Shaimerdenova, Raúl Tempone:
Multilevel Ensemble Kalman Filtering with local-level Kalman gains. - Benedict Guzman, Isabel Metzger, Yindalon Aphinyanaphongs, Himanshu Grover:
Assessment of Amazon Comprehend Medical: Medication Information Extraction. - Sahib Singh Dhanjal, Maani Ghaffari Jadidi, Ryan M. Eustice:
DeepLocNet: Deep Observation Classification and Ranging Bias Regression for Radio Positioning Systems. - Peizhong Ju, Xiaojun Lin, Jia Liu:
Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree. - Andrew Wagenmaker, Kevin G. Jamieson:
Active Learning for Identification of Linear Dynamical Systems. - Karl Kurzer, Marcus Fechner, J. Marius Zöllner:
Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search. - Zoltán Kmetty, Renáta Németh:
Which is your favorite music genre? A validity comparison of Facebook data and survey data. - Heinz-Joachim Rack, Róbert Vajda:
An explicit univariate and radical parametrization of the septic proper Zolotarev polynomials in power form. - Jihoon Suh, Takashi Tanaka:
SARSA(0) Reinforcement Learning over Fully Homomorphic Encryption. - Eduardo C. Garrido-Merchán, Martín Molina:
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes. - Sara Mohammad Taheri, Omkar Terse, Eralp Dogu, Magy Seif El-Nasr, Olga Vitek:
Investigating usability of MSstatsQC software. - Mi-Song Dupuy:
Variational projector-augmented wave method: a full-potential approach for electronic structure calculations in solid-state physics. - Xiaoxiao Li, João Saúde:
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification. - Andrea Tagliabue, Stephanie Schneider, Marco Pavone, Ali-akbar Agha-mohammadi:
Shapeshifter: A Multi-Agent, Multi-Modal Robotic Platform for Exploration of Titan. - Gerrit Welper:
A Relaxation Argument for Optimization in Neural Networks and Non-Convex Compressed Sensing. - Siqi Pan, James S. Welsh, Rodrigo A. González, Cristian R. Rojas:
Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems. - Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee:
Towards Brain-Computer Interfaces for Drone Swarm Control. - Chengwei Chen, Wang Yuan, Yuan Xie, Yanyun Qu, Yiqing Tao, Haichuan Song, Lizhuang Ma:
Novelty Detection via Non-Adversarial Generative Network. - Luis Guerra, Bohan Zhuang, Ian D. Reid, Tom Drummond:
Automatic Pruning for Quantized Neural Networks. - Zhi Zhang, Yueqiang Cheng, Yinqian Zhang, Surya Nepal:
GhostKnight: Breaching Data Integrity via Speculative Execution. - Shuvodeep De, Rakesh K. Kapania:
Algorithms for 2D Mesh Decomposition in Distributed Design Optimization. - Yang Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble:
Robust saliency maps with decoy-enhanced saliency score. - Jayden L. Macklin-Cordes, Claire Bowern, Erich R. Round:
Phylogenetic signal in phonotactics. - Yuan Tian, Mark Draelos, Gao Tang, Ruobing Qian, Anthony N. Kuo, Joseph A. Izatt, Kris Hauser:
Toward Autonomous Robotic Micro-Suturing using Optical Coherence Tomography Calibration and Path Planning. - Shihui Feng, Alec Kirkley:
Mixing Patterns in Interdisciplinary Collaboration Networks: Assessing Interdisciplinarity Through Multiple Lenses. - Flavio L. Duarte, Rodrigo C. de Lamare:
Study of Cloud-Aided Multi-Way Multiple-Antenna Relaying with Best-User Link Selection and Joint ML Detection. - Jing Zhang, Zhe Chen, Dacheng Tao:
Towards High Performance Human Keypoint Detection. - Haoling Zhang, Chao-Han Huck Yang, Hector Zenil, Narsis Aftab Kiani, Yue Shen, Jesper N. Tegnér:
Evolving Neural Networks through a Reverse Encoding Tree. - Albert Kim, Atalay Mert Ileri, Sam Madden:
Optimizing Query Predicates with Disjunctions for Column Stores. - Takenori Yoshimura, Tomoki Hayashi, Kazuya Takeda, Shinji Watanabe:
End-to-End Automatic Speech Recognition Integrated With CTC-Based Voice Activity Detection. - Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. - Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian:
Widening and Squeezing: Towards Accurate and Efficient QNNs. - Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals. - Amol Kelkar, Rohan Relan, Vaishali Bhardwaj, Saurabh Vaichal, Peter Relan:
Bertrand-DR: Improving Text-to-SQL using a Discriminative Re-ranker. - Mark Sellke, Aleksandrs Slivkins:
Sample Complexity of Incentivized Exploration. - Saeid Sahraei, Salman Avestimehr:
InfoCommit: Information-Theoretic Polynomial Commitment and Verification. - Bin Li, Song Gao, Yunlei Liang, Yuhao Kang, Timothy Prestby, Yuqi Gao, Runmou Xiao:
Estimation of Regional Economic Development Indicator from Transportation Network Analytics. - Wei Yin, Xinlong Wang, Chunhua Shen, Yifan Liu, Zhi Tian, Songcen Xu, Changming Sun, Dou Renyin:
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data. - Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. - Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger:
Revisiting Meta-Learning as Supervised Learning. - Siqi Yang, Lin Wu, Arnold Wiliem, Brian C. Lovell:
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation. - (Withdrawn) Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases.
- Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-based Prior Distribution of Joint-Diagonalization Process. - Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang:
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation. - Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir:
Proving the Lottery Ticket Hypothesis: Pruning is All You Need. - Masaki Suyama, Kosuke Sato:
Property of Innovation Under Different Group Size in an Open-ended Fitness Landscape: Demonstration Through Evolutionary Logical Circuits. - Zihang Zhang, Jianping Gu:
Facial Affect Recognition in the Wild Using Multi-Task Learning Convolutional Network. - Aysun Gurur Önalan, Elif Dilek Salik, Sinem Coleri Ergen:
Relay Selection, Scheduling and Power Control in Wireless Powered Cooperative Communication Networks. - Sheng Xin Zhang, Wing Shing Chan, Kit-Sang Tang, Shao Yong Zheng:
Adaptive strategy in differential evolution via explicit exploitation and exploration controls. - Vivek B. S., R. Venkatesh Babu:
Regularizers for Single-step Adversarial Training. - Zoran Tomljanovic, Matthias Voigt:
Semi-active H∞ damping optimization by adaptive interpolation. - Kazuhiko Sakaguchi:
Validating Mathematical Structures. - Magomed Yu. Malsagov, Emil M. Khayrov, Maria M. Pushkareva, Iakov M. Karandashev:
Exponential discretization of weights of neural network connections in pre-trained neural networks. - Caroline Lasser, Christian Lubich:
Computing quantum dynamics in the semiclassical regime. - Massimo Equi, Veli Mäkinen, Alexandru I. Tomescu:
Conditional Indexing Lower Bounds Through Self-Reducibility. - Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts:
Effective Diversity in Population-Based Reinforcement Learning. - Dustin Lehmann, Daniel Laidig, Raphael Deimel, Thomas Seel:
Magnetometer-free inertial motion tracking of arbitrary joints with range of motion constraints. - Tomohiro Koana, Vincent Froese, Rolf Niedermeier:
Parameterized Algorithms for Matrix Completion With Radius Constraints. - Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context. - Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl:
Dynamic Parameter Allocation in Parameter Servers. - Marine Le Morvan, Nicolas Prost, Julie Josse, Erwan Scornet, Gaël Varoquaux:
Linear predictor on linearly-generated data with missing values: non consistency and solutions. - Michael Meindl, Fabio Molinari, Jörg Raisch, Thomas Seel:
Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation. - Anmol Gupta, Sharayu Moharir, Neeraja Sahasrabudhe:
Influencing Opinion Dynamics in Networks with Limited Interaction. - Keehang Kwon, Dae-Seong Kang:
Agent-Based Proof Design via Lemma Flow Diagram. - Sascha Wirges, Shuxiao Ding, Christoph Stiller:
Single-Stage Object Detection from Top-View Grid Maps on Custom Sensor Setups. - Devraj Mandal, Soma Biswas:
A Novel Incremental Cross-Modal Hashing Approach. - Yahao Chen, Witold Respondek:
Geometric analysis of differential-algebraic equations via linear control theory. - Yongzhong Song:
On preconditioned AOR method for solving linear systems. - Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi:
FAE: A Fairness-Aware Ensemble Framework. - Poulami Somanya Ganguly, Felix Lucka, Hermen Jan Hupkes, Kees Joost Batenburg:
Atomic Super-Resolution Tomography. - Jakkepalli Pavan Kumar, P. Venkata Subba Reddy, S. Arumugam:
Algorithmic Complexity of Secure Connected Domination in Graphs. - Xinze Zhang, Kun He, Yukun Bao:
Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting. - Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Modeling the Background for Incremental Learning in Semantic Segmentation. - Valentin D. Richard:
Introduction of Quantification in Frame Semantics. - Evgeny Dolotov, Nikolai Yu. Zolotykh:
Evolutionary algorithms for constructing an ensemble of decision trees. - Valentin D. Richard:
Traduction des Grammaires Catégorielles de Lambek dans les Grammaires Catégorielles Abstraites. - Aaron van Geffen:
Reducing Noise from Competing Neighbours: Word Retrieval with Lateral Inhibition in Multilink. - Junhan Zhao, Xiang Liu, Chen Guo, Zhenyu Cheryl Qian, Yingjie Victor Chen:
Phoenixmap: An Abstract Approach to Visualize 2D Spatial Distributions. - Luke Melas-Kyriazi, George Han, Celine Liang:
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings. - Alexander V. Smirnov, Tatiana Levashova, Alexey A. Karpov, Irina S. Kipyatkova, Andrey Ronzhin, Andrew Krizhanovsky, Nataly Krizhanovsky:
Analysis of the quotation corpus of the Russian Wiktionary. - Jianfeng Deng, Lianglun Cheng, Zhuowei Wang:
Self-attention-based BiGRU and capsule network for named entity recognition. - Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee:
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction. - Gopi Ramena, Divija Nagaraju, Sukumar Moharana, Debi Prasanna Mohanty, Naresh Purre:
An Efficient Architecture for Predicting the Case of Characters using Sequence Models. - Jibang Wu, Renqin Cai, Hongning Wang:
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
The role of geographic proximity in knowledge diffusion, measured by citations to scientific literature. - Xin Lian, Kshitij Jain, Jakub Truszkowski, Pascal Poupart, Yaoliang Yu:
Unsupervised Multilingual Alignment using Wasserstein Barycenter. - Shoubin Li, Wenzao Cui, Yujiang Liu, Xuran Ming, Jun Hu, Yuanzhe Hu, Qing Wang:
PEL-BERT: A Joint Model for Protocol Entity Linking. - Zihao Wang, Yong Zhang, Hao Wu:
Structural-Aware Sentence Similarity with Recursive Optimal Transport. - Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White:
Conversations with Documents. An Exploration of Document-Centered Assistance. - Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. - Yue Weng, Sai Sumanth Miryala, Chandra Khatri, Runze Wang, Huaixiu Zheng, Piero Molino, Mahdi Namazifar, Alexandros Papangelis, Hugh Williams, Franziska Bell, Gökhan Tür:
Joint Contextual Modeling for ASR Correction and Language Understanding. - Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur, Senthil Mani, Shreya Khare:
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions. - Massimiliano Morrelli, Giacomo Pansini, Massimiliano Polito, Arturo Vitale:
Similarità per la ricerca del dominio di una frase. - Son T. Luu, Hung P. Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection. - Dou Goodman, Zhonghou Lv, Minghua Wang:
FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications. - Ahmed El-Kishky, Francisco Guzmán:
Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance. - Mayank Agarwal, Jorge J. Barroso, Tathagata Chakraborti, Eli M. Dow, Kshitij P. Fadnis, Borja Godoy, Kartik Talamadupula:
CLAI: A Platform for AI Skills on the Command Line. - Xishuang Dong, Uboho Victor, Lijun Qian:
Two-path Deep Semi-supervised Learning for Timely Fake News Detection. - Ruhallah Ahmadian, Mehdi Ghatee:
Driver Identification by Neural Network on Extracted Statistical Features from Smartphone Data. - Vaishali Pal, Fabien Guillot, Jean-Michel Renders, Laurent Besacier:
Modeling ASR Ambiguity for Dialogue State Tracking Using Word Confusion Networks. - Fabio Pacheco, Igor Wiese, Bruno Cartaxo, Igor Steinmacher, Gustavo Pinto:
Analyzing the evolution and diversity of SBES Program Committee. - Shuang Zheng, Tao Han, Yuna Jiang, Xiaohu Ge:
Smart Contract-based Secure Spectrum Sharing in Multi-Operators Wireless Communication Networks. - Ahmed Alqaraawi, Martin Schuessler, Philipp Weiß, Enrico Costanza, Nadia Berthouze:
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study. - Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon:
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. - Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis:
Finding large balanced subgraphs in signed networks. - Nathan Wasser, Dominic Steinhöfel:
Treating for-Loops as First-Class Citizens in Proofs. - Michael Gastpar, Erixhen Sula:
Common Information Components Analysis. - Fei Wei, Michael Langberg, Michelle Effros:
Towards an Operational Definition of Group Network Codes. - Craig Innes, Subramanian Ramamoorthy:
Elaborating on Learned Demonstrations with Temporal Logic Specifications. - Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri:
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. - Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik, Christian Sauer:
Efficient Fault Injection based on Dynamic HDL Slicing Technique. - Nick Fischer, Christian Ikenmeyer:
The Computational Complexity of Plethysm Coefficients. - Elaine Y. L. Tsiang:
Oral Billiards. - Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. - Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting:
CryptoSPN: Privacy-preserving Sum-Product Network Inference. - Madhusanka Manimel Wadu, Sumudu Samarakoon, Mehdi Bennis:
Federated Learning under Channel Uncertainty: Joint Client Scheduling and Resource Allocation. - Akash Kumar, Arnav Bhavasar:
Syn2Real: Forgery Classification via Unsupervised Domain Adaptation. - Piotr Gawlowicz, Elnaz Alizadeh Jarchlo, Anatolij Zubow:
Practical MIMO for Visible Light Communication. - Jan Drchal, Jan Faigl, Petr Vána:
WiSM: Windowing Surrogate Model for Evaluation of Curvature-Constrained Tours with Dubins vehicle. - Kathrin Hanauer, Monika Henzinger, Christian Schulz:
Faster Fully Dynamic Transitive Closure in Practice. - Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth:
Learning Extremal Representations with Deep Archetypal Analysis. - Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim:
Private Summation in the Multi-Message Shuffle Model. - Markus Lange-Hegermann:
Linearly Constrained Gaussian Processes with Boundary Conditions. - Andrea Rossi, Donatella Firmani, Antonio Matinata, Paolo Merialdo, Denilson Barbosa:
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis. - Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi:
The Heuristic Dynamic Programming Approach in Boost Converters. - Zhiwei Chen, Yi Zhong, Xiaohu Ge, Yi Ma:
An Actor-Critic-Based UAV-BSs Deployment Method for Dynamic Environments. - Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser:
Learning Contextualized Document Representations for Healthcare Answer Retrieval. - Yongjie Yang:
On the Complexity of Destructive Bribery in Approval-Based Multi-winner Voting. - Enyan Dai, Yiwei Sun, Suhang Wang:
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. - Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang:
Improving Generalizability of Fake News Detection Methods using Propensity Score Matching. - Hai Zhang, Xiao Guo, Xiangyu Chang:
Randomized Spectral Clustering in Large-Scale Stochastic Block Models. - Liudmila Prokhorenkova, Alexey Tikhonov, Nelly Litvak:
When Less is More: Systematic Analysis of Cascade-based Community Detection. - Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. - Songyang Zhang, Tolga Aktas, Jiebo Luo:
Mi YouTube es Su YouTube? Analyzing the Cultures using YouTube Thumbnails of Popular Videos. - Bogumil Kaminski, Pawel Pralat, François Théberge:
Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community Structure. - Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. - Fangqi Li, Chong Di, Wenwen Xia:
On the Submodularity of Diffusion Models: Equivalent Conditions and Applications. - Samantha Ajovalasit, Veronica Dorgali, Angelo Mazza, Alberto d'Onofrio, Piero Manfredi:
Evidence of distrust and disorientation towards immunization on online social media after contrasting political communication on vaccines. Results from an analysis of Twitter data in Italy. - Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen:
A Dynamic and Cooperative Tracking System for Crowdfunding. - Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun:
Structure-Feature based Graph Self-adaptive Pooling. - Alex D. Stivala, H. Colin Gallagher, David A. Rolls, Peng Wang, Garry L. Robins:
Using Sampled Network Data With The Autologistic Actor Attribute Model. - Nir Rosenfeld, Aron Szanto, David C. Parkes:
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone. - Zhaoya Gong, Tengteng Cai, Jean-Claude Thill, Scott A. Hale, Mark Graham:
Measuring relative opinion from location-based social media: A case study of the 2016 U.S. presidential election. - Christoph Stöckl, Wolfgang Maass:
Classifying Images with Few Spikes per Neuron. - Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman:
CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device. - Hazem M. Fahmy, Mojtaba Bagherzadeh, Fabrizio Pastore, Lionel C. Briand:
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning. - Kalliopi Basioti, George V. Moustakides:
Designing GANs: A Likelihood Ratio Approach. - Harshad Deshmukh, Bruhathi Sundarmurthy, Jignesh M. Patel:
To pipeline or not to pipeline, that is the question. - Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. - Steven Roberts, Arash Sarshar, Adrian Sandu:
Parallel implicit-explicit general linear methods. - Amaury Depierre, Emmanuel Dellandréa, Liming Chen:
Optimizing Correlated Graspability Score and Grasp Regression for Better Grasp Prediction. - Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes. - Alexander M. Rush:
Torch-Struct: Deep Structured Prediction Library. - Martin Brossard, Axel Barrau, Silvère Bonnabel:
A Code for Unscented Kalman Filtering on Manifolds (UKF-M). - Simon Hubmer, Ronny Ramlau:
A Frame Decomposition of the Atmospheric Tomography Operator. - Decky Aspandi, Adria Mallol-Ragolta, Björn W. Schuller, Xavier Binefa:
Adversarial-based neural networks for affect estimations in the wild. - Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer:
Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis. - Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet:
Effect of top-down connections in Hierarchical Sparse Coding. - Paul Wood, Hossein Pourmeidani, Ronald F. DeMara:
Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks. - Francesco Ragusa, Antonino Furnari, Sebastiano Battiato, Giovanni Signorello, Giovanni Maria Farinella:
EGO-CH: Dataset and Fundamental Tasks for Visitors BehavioralUnderstanding using Egocentric Vision. - Karsten Eckhoff, Manon Kok, Sergio Lucia, Thomas Seel:
Sparse Magnetometer-free Inertial Motion Tracking - A Condition for Observability in Double Hinge Joint Systems. - Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. - Luca Chiaraviglio, Cristian Di Paolo, Giuseppe Bianchi, Nicola Blefari-Melazzi:
Is It Safe Living in the Vicinity of Cellular Towers? Analysis of Long-Term Human EMF Exposure at Population Scale. - Mathieu Gonzalez, Amine Kacete, Albert Murienne, Éric Marchand:
YOLOff: You Only Learn Offsets for robust 6DoF object pose estimation. - Qingqing Zheng, Yuanzhe Xi, Yousef Saad:
A power Schur complement Low-Rank correction preconditioner for general sparse linear systems. - Alejandro Acien, Aythami Morales, Julian Fiérrez, Rubén Vera-Rodríguez, Ivan Bartolome:
Be-CAPTCHA: Detecting Human Behavior in Smartphone Interaction using Multiple Inbuilt Sensors. - Mehdi Jafari, Audun Botterud, Apurba Sakti:
Evaluation of Energy- and Capacity-Market Revenues from Lithium-ion Battery Systems for Offshore Wind Using Advanced Battery Models. - Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry, Nicolas Kourtellis:
Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites. - David R. Glowacki, Mark D. Wonnacott, Rachel Freire, Becca Rose Glowacki, Ella M. Gale, James E. Pike, Tiu de Haan, Mike Chatziapostolou, Oussama Metatla:
Isness: Using Multi-Person VR to Design Peak Mystical-Type Experiences Comparable to Psychedelics. - Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan:
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections. - Michael J. Breza, Laksh Bhatia, Ivana Tomic, Anqi Fu, Waqas Ikram, Valentinos Kongezos, Julie A. McCann:
The Separator, a Two-Phase Oil and Water Gravity CPS Separator Testbed. - Luis A. Guardiola, Ana Meca, Justo Puerto:
Quid Pro Quo allocations in Production-Inventory games. - Limeng Dong, Hui-Ming Wang:
Secure MIMO Transmission via Intelligent Reflecting Surface. - Soham Dan, Han Bao, Masashi Sugiyama:
Learning from Noisy Similar and Dissimilar Data. - Eric Mazumdar, Lillian J. Ratliff:
Local Nash Equilibria are Isolated, Strict Local Nash Equilibria in 'Almost All' Zero-Sum Continuous Games. - Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
A Differentiable Color Filter for Generating Unrestricted Adversarial Images. - P. Jonathon Phillips, Mark A. Przybocki:
Four Principles of Explainable AI as Applied to Biometrics and Facial Forensic Algorithms. - Simen Theie Havenstrøm, Camilla Sterud, Adil Rasheed, Omer San:
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. - Christian Krupitzer, Sebastian Müller, Veronika Lesch, Marwin Züfle, Janick Edinger, Alexander Lemken, Dominik Schäfer, Samuel Kounev, Christian Becker:
A Survey on Human Machine Interaction in Industry 4.0. - Mohammad Hadi Goldani, Saeedeh Momtazi, Reza Safabakhsh:
Detecting Fake News with Capsule Neural Networks. - Layhon Roberto Rodrigues dos Santos, Taufik Abrão:
Heuristic Chaotic Hurricane-aided Efficient Power Assignment for Elastic Optical Networks. - Jeremy Cohen, Daniel S. Katz, Michelle Barker, Neil P. Chue Hong, Robert Haines, Caroline Jay:
The Four Pillars of Research Software Engineering. - Thanuja D. Ambegoda, Matthew Cook:
Efficient 2D neuron boundary segmentation with local topological constraints. - Zhigang Lu, Hong Shen:
Differentially Private k-Means Clustering with Guaranteed Convergence. - Hanan Shabana, Mikhail V. Volkov:
Optimal synchronization of partial deterministic finite automata. - Taylor Lundy, Hu Fu:
Limitations of Incentive Compatibility on Discrete Type Spaces. - Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin:
Data Market Platforms: Trading Data Assets to Solve Data Problems [Vision Paper]. - Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H. S. Torr, Nicu Sebe:
Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation. - Chirag Agarwal, Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian, Dan Schonfeld:
Deep-URL: A Model-Aware Approach To Blind Deconvolution Based On Deep Unfolded Richardson-Lucy Network. - Albert Zhan, Stas Tiomkin, Pieter Abbeel:
Preventing Imitation Learning with Adversarial Policy Ensembles. - Chase P. Dowling, Baosen Zhang:
Transfer Learning for HVAC System Fault Detection. - Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios:
Fake News Detection by means of Uncertainty Weighted Causal Graphs. - Jakob Bossek, Katrin Casel, Pascal Kerschke, Frank Neumann:
The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics. - Karam Abdulahhad:
Concept Embedding for Information Retrieval. - Chen Wang, Chetan Mishra, Virgilio A. Centeno:
Low Voltage Ride Through (LVRT) Constrained Transient Stability Assessment Using Lyapunov Functions Family Method. - Adarsh Patil:
TLB and Pagewalk Performance in Multicore Architectures with Large Die-Stacked DRAM Cache. - Alexey V. Smirnov, Michael V. Klibanov, Loc H. Nguyen:
Convexification for a 1D Hyperbolic Coefficient Inverse Problem with Single Measurement Data. - Huabin Wang, Rui Cheng, Jian Zhou, Liang Tao, Hon Keung Kwan:
Multistage Model for Robust Face Alignment Using Deep Neural Networks. - Sunshine Chong, Andrés Abeliuk:
Quantifying the Effects of Recommendation Systems. - Mordechai Guri, Dima Bykhovsky, Yuval Elovici:
BRIGHTNESS: Leaking Sensitive Data from Air-Gapped Workstations via Screen Brightness. - Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati:
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators. - Babatunde Ojetunde, Naoki Shibata, Juntao Gao:
Secure Payment System Utilizing MANET for Disaster Areas. - Young Eun Lee, Minji Lee:
Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals. - Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang:
Object Instance Mining for Weakly Supervised Object Detection. - Thommen George Karimpanal:
Neuro-evolutionary Frameworks for Generalized Learning Agents. - Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh:
Accelerating Quantum Approximate Optimization Algorithm using Machine Learning. - Mario Alvarez-Picallo, Jean-Simon Pacaud Lemay:
Cartesian Difference Categories: Extended Report. - Upol Ehsan, Mark O. Riedl:
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach. - Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau:
On the interaction between supervision and self-play in emergent communication. - Yaoting Wang, Yongzhen Ke, Kai Wang, Cuijiao Zhang, Fan Qin:
Aesthetic Quality Assessment for Group photograph. - Ju Liu, Ingrid S. Lan, Oguz Z. Tikenogullari, Alison L. Marsden:
A note on the accuracy of the generalized-α scheme for the incompressible Navier-Stokes equations. - Mark Bun, Marco Leandro Carmosino, Jessica Sorrell:
Efficient, Noise-Tolerant, and Private Learning via Boosting. - Anqi Huang, Yingyu Li, Yong Xiao, Xiaohu Ge, Sumei Sun, Han-Chieh Chao:
Distributed Resource Allocation for Network Slicing of Bandwidth and Computational Resource. - Huai-Shui Tong, Xiao-Jun Wu, Hui Li:
Improved dual channel pulse coupled neural network and its application to multi-focus image fusion. - Xianpeng Ji, Yu Ding, Lincheng Li, Yu Chen, Changjie Fan:
Multi-label Relation Modeling in Facial Action Units Detection. - Karol Rydzewski, Jerzy Konorski:
A reactive algorithm for deducing nodal forwarding behavior in a multihop ad-hoc wireless network in the presence of errors. - Xue-Lei Lin, Michael K. Ng:
An all-at-once preconditioner for evolutionary partial differential equations. - Keri Mallari, Kori Inkpen, Paul Johns, Sarah Tan, Divya Ramesh, Ece Kamar:
Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism. - Jun Li, Fuxin Li, Sinisa Todorovic:
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform. - Hyeong-Jin Kim, Min-Ho Lee, Minji Lee:
A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task. - Seo-Hyun Lee, Minji Lee, Seong-Whan Lee:
Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface. - Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny:
Improving Efficiency in Large-Scale Decentralized Distributed Training. - Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim:
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. - Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block. - Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. - Mahdi Biparva, John K. Tsotsos:
Selective Segmentation Networks Using Top-Down Attention. - Jenifer Kalafatovich, Minji Lee:
Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals. - Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, Lei Li:
Variational Template Machine for Data-to-Text Generation. - Sareh Nabi, Houssam Nassif, Joseph Hong, Hamed Mamani, Guido Imbens:
Decoupling Learning Rates Using Empirical Bayes Priors. - Shikha Dubey, Abhijeet Boragule, Moongu Jeon:
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos. - Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao:
On Positive-Unlabeled Classification in GAN. - Ruian Duan, Omar Alrawi, Ranjita Pai Kasturi, Ryan Elder, Brendan Saltaformaggio, Wenke Lee:
Measuring and Preventing Supply Chain Attacks on Package Managers. - Suthee Ruangwises, Toshiya Itoh:
Physical Zero-Knowledge Proof for Numberlink. - Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu:
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. - Hidetaka Kamigaito, Manabu Okumura:
Syntactically Look-Ahead Attention Network for Sentence Compression. - Hanhan Li, Pin Wang:
Adversarially Robust Frame Sampling with Bounded Irregularities. - Md Jahidul Islam, Peigen Luo, Junaed Sattar:
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception. - Mehmet Aytimur, Ali Cakmak:
Using Positional Sequence Patterns to Estimate the Selectivity of SQL LIKE Queries. - Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. - (Withdrawn) Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI).
- Alexander Sheshkus, A. Chirvonaya, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
Vanishing Point Detection with Direct and Transposed Fast Hough Transform inside the neural network. - Tong Liu, Zhaowei Chen, Yi Yang, Zehao Wu, Haowei Li:
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer. - Nathan Schaar, Vincent Froese, Rolf Niedermeier:
Faster Binary Mean Computation Under Dynamic Time Warping. - Matthias Kunik, Hailiang Liu, Gerald Warnecke:
Radially symmetric solutions of the ultra-relativistic Euler equations. - Kalun Ho, Janis Keuper, Margret Keuper:
Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. - Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang:
Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation. - Etienne Boursier, Vianney Perchet:
Selfish Robustness and Equilibria in Multi-Player Bandits. - Jens Pagel, Christoph Matheja, Florian Zuleger:
Complete Entailment Checking for Separation Logic with Inductive Definitions. - Hefei Ling, Yangyang Qin, Li Zhang, Yuxuan Shi, Ping Li:
Selective Convolutional Network: An Efficient Object Detector with Ignoring Background. - Kareem Darwish, Ahmed Abdelali, Hamdy Mubarak, Mohamed Eldesouki:
Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model. - Tom Roussel, Punarjay Chakravarty, Gaurav Pandey, Tinne Tuytelaars, Luc Van Eycken:
Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps. - Karl-Heinz Zimmermann, Merve Nur Cakir:
On Stochastic Automata over Monoids. - Eduard Eiben, Daniel Lokshtanov:
Removing Connected Obstacles in the Plane is FPT. - Özlem Tugfe Demir, Emil Björnson:
Large-Scale Fading Precoding for Maximizing the Product of SINRs. - Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
ALPINE: Active Link Prediction using Network Embedding. - Mauricio Fernández, Felix Fritzen:
On the generation of periodic discrete structures with identical two-point correlation. - Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy:
Learning robotic ultrasound scanning using probabilistic temporal ranking. - Vasileios Tsoutsouras, Max Vigdorchik, Phillip Stanley-Marbell:
Synthesizing Compact Hardware for Accelerating Inference from Physical Signals in Sensors. - Lina Alsahan, Noureddine Lasla, Mohamed M. Abdallah:
Local Bitcoin Network Simulator for Performance Evaluation using Lightweight Virtualization. - Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. - Koos van der Linden, Natalia Romero, Mathijs Michiel de Weerdt:
Benchmarking Flexible Electric Loads Scheduling Algorithms under Market Price Uncertainty. - Qi Xuan, Yalu Shan, Jinhuan Wang, Zhongyuan Ruan, Guanrong Chen:
Adversarial Attacks to Scale-Free Networks: Testing the Robustness of Physical Criteria. - Angelo Fanelli, Dimitris Fotakis:
Local Aggregation in Preference Games. - Diego Álvarez, Pedro González-Rodríguez, Manuel Kindelan:
A local radial basis function method for the Laplace-Beltrami operator. - Ömer Sahin Tas, Christoph Stiller:
Tackling Existence Probabilities of Objects with Motion Planning for Automated Urban Driving. - Zhiyuan Jiang, Zixu Cao, Siyu Fu, Fei Peng, Shan Cao, Shunqing Zhang, Shugong Xu:
Revealing Much While Saying Less: Predictive Wireless for Status Update. - Blerta Lindqvist, Rauf Izmailov:
Minimax Defense against Gradient-based Adversarial Attacks. - Luca Ganassali, Laurent Massoulié:
From tree matching to sparse graph alignment. - Yu Zhou, Xinying Yang, Taolue Chen, Zhiqiu Huang, Xiaoxing Ma, Harald C. Gall:
Boosting API Recommendation with Implicit Feedback. - Hamza M. Ruzayqat, Ajay Jasra:
Unbiased Estimation of the Solution to Zakai's Equation. - Frank Uhlig:
Coalescing Eigenvalues and Crossing Eigencurves of 1-Parameter Matrix Flows. - Sebastian Baltes, Christoph Treude:
Code Duplication on Stack Overflow. - Wenyang Hu, Xiaocong Cai, Jun Hou, Shuai Yi, Zhiping Lin:
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition. - Haji Akhundov, Erik van der Sluis, Said Hamdioui, Mottaqiallah Taouil:
Public-Key Based Authentication Architecture for IoT Devices Using PUF. - Mario A. Gutierrez-Mondragon, Dario Garcia-Gasulla, Sergio Álvarez-Napagao, Jaume Brossa-Ordoñez, Rafael Gimenez-Esteban:
Obstruction level detection of sewer videos using convolutional neural networks. - Federico Olimpieri:
Intersection Type Distributors. - Malin Eiband, Sarah Theres Völkel, Daniel Buschek, Sophia Cook, Heinrich Hussmann:
A Method and Analysis to Elicit User-reported Problems in Intelligent Everyday Applications. - Pietro Hiram Guzzi, Emanuel Salerno, Giuseppe Tradigo, Pierangelo Veltri:
Extracting Dense and Connected Subgraphs in Dual Networks by Network Alignment. - Nora Lüthen, Stefano Marelli, Bruno Sudret:
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark. - Marcin Pilipczuk, Manuel Sorge:
A Double Exponential Lower Bound for the Distinct Vectors Problem. - Dmitry V. Gribanov:
Properties of Δ-modular simplicies and "close" polyhedrons. O(Δ · polylog(Δ))-algorithm for knapsack, proximity and sparsity. - Changhan Wang, Juan Miguel Pino, Anne Wu, Jiatao Gu:
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus. - Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee:
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. - Bo Wang, Wen Zhong Zhang, Wei Cai:
Fast Multipole Method for 3-D Linearized Poisson-Boltzmann Equation in Layered Media. - Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal:
Exploring Structural Inductive Biases in Emergent Communication. - Feng Wei, Uyen Trang Nguyen:
Twitter Bot Detection Using Bidirectional Long Short-term Memory Neural Networks and Word Embeddings. - Erixhen Sula, Michael Gastpar:
The Gaussian lossy Gray-Wyner network. - Yi-Shuai Niu, Yu You, Wenxu Xu, Wentao Ding, Junpeng Hu:
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model. - Xiao Ma, Ao Zhou, Shan Zhang, Shangguang Wang:
Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing. - Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, Pranav Khaitan:
Schema-Guided Dialogue State Tracking Task at DSTC8. - Radoslaw Patelski, Dariusz Pazderski:
Tracking control for a cascade perturbed control system using the active disturbance rejection paradigm. - Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby:
Compositional Languages Emerge in a Neural Iterated Learning Model. - Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner:
Bootstrapping a DQN Replay Memory with Synthetic Experiences. - Cyril Grunspan, Gabriel Lehéricy, Ricardo Pérez-Marco:
Ant Routing scalability for the Lightning Network. - Marc Jayson Baucas, Petros Spachos:
A Scalable IoT-Fog Framework for Urban Sound Sensing. - Bogdan Bugaev, Anton Kryshchenko, Roman Belov:
Combining 3D Model Contour Energy and Keypoints for Object Tracking. - Per-Gunnar Martinsson, Joel A. Tropp:
Randomized Numerical Linear Algebra: Foundations & Algorithms. - Minghan Chen, Fangyan Dai, Bingjie Yan, Jieren Cheng, Longjuan Wang:
Encryption Algorithm for TCP Session Hijacking. - Marta D'Elia, Qiang Du, Christian Glusa, Max D. Gunzburger, Xiaochuan Tian, Zhi Zhou:
Numerical methods for nonlocal and fractional models. - Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok:
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. - Daniel Bruder, Xun Fu, R. Brent Gillespie, C. David Remy, Ram Vasudevan:
Koopman-based Control of a Soft Continuum Manipulator Under Variable Loading Conditions. - Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich:
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers. - Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta:
Iterative Data Programming for Expanding Text Classification Corpora. - Arlene Casey, Mike Bennett, Richard Tobin, Claire Grover, Iona Walker, Lukas Engelmann, Beatrice Alex:
Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952). - Maxim A. Olshanskii, Leo G. Rebholz:
Longer time accuracy for incompressible Navier-Stokes simulations with the EMAC formulation. - Manuel Arana-Jiménez, Maria Isabel Berenguer, Domingo Gámez, A. I. Garralda Guillem, Manuel Ruiz Galán:
A perturbed collage theorem and its application to inverse interval integral problems. - Justin Hu, Ariana Bruno, Brian Ritchken, Brendon Jackson, Mateo Espinosa, Aditya Shah, Christina Delimitrou:
HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms. - Anmol Biswas, Green Rosh K. S, Sachin Deepak Lomte:
Spatially Variant Laplacian Pyramids for Multi-Frame Exposure Fusion. - Vincent Pacelli, Anirudha Majumdar:
Learning Task-Driven Control Policies via Information Bottlenecks. - Davide Bianchi, Alessandro Buccini:
Generalized Structure Preserving Preconditioners for Frame-Based Image Deblurring. - Alireza Rezazadeh:
A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach. - Jimmy Lin:
A Prototype of Serverless Lucene. - Maheen Rashid, Hedvig Kjellström, Yong Jae Lee:
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. - Aleksandar Ichkov, Daniel Sialkowski, Petri Mähönen, Ljiljana Simic:
Multi-User Provisioning in Millimeter-Wave Urban Cellular Networks. - Alexander Mehler, Rüdiger Gleim, Regina Gaitsch, Wahed Hemati, Tolga Uslu:
From Topic Networks to Distributed Cognitive Maps: Zipfian Topic Universes in the Area of Volunteered Geographic Information. - Julian Danner, Martin Kreuzer:
A fault attack on the Niederreiter cryptosystem using binary irreducible Goppa codes. - Peng Sun, Rui Hou, Jerome P. Lynch:
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront. - Jesus Perez-Martin, Benjamin Bustos, Magdalena Saldaña:
Semantic Search of Memes on Twitter. - Chi Han, Jiayuan Mao, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu:
Visual Concept-Metaconcept Learning. - Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups. - Ivana Tomic, Laksh Bhatia, Michael J. Breza, Julie A. McCann:
The Limits of LoRaWAN in Event-Triggered Wireless Networked Control Systems. - Milan Lopuhaä-Zwakenberg:
The Privacy Funnel from the viewpoint of Local Differential Privacy. - Trinh Van Chien, Emil Björnson, Erik G. Larsson:
Joint Power Allocation and Load Balancing Optimization for Energy-Efficient Cell-Free Massive MIMO Networks. - Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta:
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. - Soumik Ghosh, John Watrous:
Complexity limitations on one-turn quantum refereed games. - Robert X. D. Hawkins, Noah D. Goodman, Adele E. Goldberg, Thomas L. Griffiths:
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks. - Yuan Liu, Marcelo A. Elizondo, Suman Debnath, Jingfan Sun, Ahmad Tbaileh, Yuri V. Makarov, Qiuhua Huang, Mallikarjuna R. Vallem, Harold Kirkham, Nader A. Samaan:
Hybrid EMT-TS Simulation Strategies to Study High Bandwidth MMC-Based HVdc Systems. - Benjamin Harsha, Robert Morton, Jeremiah Blocki, John A. Springer, Melissa Dark:
Bicycle Attacks Considered Harmful: Quantifying the Damage of Widespread Password Length Leakage. - Naman Agarwal, Pranjal Awasthi, Satyen Kale:
A Deep Conditioning Treatment of Neural Networks. - Md Umar Hashmi, Arpan Mukhopadhyay, Ana Busic, Jocelyne Elias:
Storage Optimal Control under Net Metering Policies. - Shun Cao, Irandokht Parviziomran, Haeyong Yang, Seungbae Park, Daehan Won:
Prediction of Component Shifts in Pick and Place Process of Surface Mount Technology Using Support Vector Regression. - Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha:
Deep Differentiable Grasp Planner for High-DOF Grippers. - Bruhathi Sundarmurthy, Harshad Deshmukh, Paris Koutris, Jeffrey F. Naughton:
Providing Insights for Queries affected by Failures and Stragglers. - Shrey Desai, Geoffrey Goh, Arun Babu, Ahmed Aly:
Lightweight Convolutional Representations for On-Device Natural Language Processing. - Francisco J. Gutierrez, Yazmín Magallanes, Laura S. Gaytán-Lugo, Claudia López, Cleidson R. B. de Souza:
Academic viewpoints and concerns on CSCW education and training in Latin America. - Manfred Buchacher, Manuel Kauers, Gleb Pogudin:
Separating Variables in Bivariate Polynomial Ideals. - Rodolfo Reyes-Báez, Arjan van der Schaft, Bayu Jayawardhana, Le Pan:
A family of virtual contraction based controllers for tracking of flexible-joints port-Hamiltonian robots: theory and experiments. - Christian Meske, Enrico Bunde:
Using Explainable Artificial Intelligence to Increase Trust in Computer Vision. - Moulik Choraria, Arpan Chattopadhyay, Urbashi Mitra, Erik G. Ström:
Optimal deception attack on networked vehicular cyber physical systems. - Trevor J. Larsen, Gustavo Malkomes, Dennis L. Barbour:
Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection. - René Brandborg Sørensen, Jimmy Jessen Nielsen, Petar Popovski:
Machine Learning Methods for Monitoring of Quasi-Periodic Traffic in Massive IoT Networks. - Suzan Bayhan, Setareh Maghsudi, Anatolij Zubow:
EdgeDASH: Exploiting Network-Assisted Adaptive Video Streaming for Edge Caching. - Miklas S. Kristoffersen, Sven Ewan Shepstone, Zheng-Hua Tan:
Context-Aware Recommendations for Televisions Using Deep Embeddings with Relaxed N-Pairs Loss Objective. - Tianju Sui, Yilin Mo, Damián Marelli, Ximing Sun, Minyue Fu:
The Vulnerability of Cyber-Physical System under Stealthy Attacks. - Iacopo Colonnelli, Barbara Cantalupo, Ivan Merelli, Marco Aldinucci:
StreamFlow: cross-breeding cloud with HPC. - Anne L. Washington, Rachel Kuo:
Whose Side are Ethics Codes On? Power, Responsibility and the Social Good. - Rohit Venkata Sai Dulam, Meghana Murthy, Jiebo Luo:
Seeing through the smoke : a world-wide comparative study of e-cigarette flavors, brands and markets using data from Reddit and Twitter. - Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Training Does Not Need Warmup. - Muhammad Hassan, Benjamin Stamm:
A Linear Scaling in Accuracy Numerical Method for Computing the Electrostatic Forces in the N-Body Dielectric Spheres Problem. - Nian Guo, Victoria Kostina:
Optimal Causal Rate-Constrained Sampling for a Class of Continuous Markov Processes. - Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau:
A workload-adaptive mechanism for linear queries under local differential privacy. - Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca:
ML4H Abstract Track 2019. - David D. Fan, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Deep Learning Tubes for Tube MPC. - Patrick D. Holmes, Shreyas Kousik, Bohao Zhang, Daphna Raz, Corina Barbalata, Matthew Johnson-Roberson, Ram Vasudevan:
Reachable Sets for Safe, Real-Time Manipulator Trajectory Design. - Byungsoo Jeon, Namyong Park, Seojin Bang:
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning. - Brendon Lutnick, Wen Dong, Zohar Nussinov, Pinaki Sarder:
Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology. - Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Exploratory Machine Learning with Unknown Unknowns. - Chengwei Chen, Pan Chen, Haichuan Song, Yiqing Tao, Yuan Xie, Shouhong Ding, Lizhuang Ma:
Anomaly Detection by Latent Regularized Dual Adversarial Networks. - Byungseok Roh, Han-Cheol Cho, Myung-Ho Ju, Soon Hyung Pyo:
Accelerating Object Detection by Erasing Background Activations. - David Eppstein, Daniel Frishberg, Elham Havvaei:
Simplifying Activity-on-Edge Graphs. - Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. - Ji Liu, Abdullah-Al Kafi, Xipeng Shen, Huiyang Zhou:
MKPipe: A Compiler Framework for Optimizing Multi-Kernel Workloads in OpenCL for FPGA. - Jonggi Hong, Kyungjun Lee, June Xu, Hernisa Kacorri:
Crowdsourcing the Perception of Machine Teaching. - Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang:
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. - Yunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney:
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach. - Ziyue Zhang, Richard Y. D. Xu, Shuai Jiang, Yang Li, Congzhentao Huang, Chen Deng:
Illumination adaptive person reid based on teacher-student model and adversarial training. - Zijian Lei, Liang Lan:
Improved Subsampled Randomized Hadamard Transform for Linear SVM. - Ziwei Wan, Zhen Gao, Mohamed-Slim Alouini:
Broadband Channel Estimation for Intelligent Reflecting Surface Aided mmWave Massive MIMO Systems. - Chanyeol Yoo, Samuel Lensgraf, Robert Fitch, Lee M. Clemon, Ramgopal R. Mettu:
Toward Optimal FDM Toolpath Planning with Monte Carlo Tree Search. - Wataru Ohata, Jun Tani:
Investigation of Multimodal and Agential Interactions in Human-Robot Imitation, based on frameworks of Predictive Coding and Active Inference. - Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui:
Structural Deep Clustering Network. - Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati:
'Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees. - Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval. - Jon-Lark Kim, Young-Hun Kim, Nari Lee:
Embedding linear codes into self-orthogonal codes and their optimal minimum distances. - Tao Zhuo, Mohan S. Kankanhalli:
Solving Raven's Progressive Matrices with Neural Networks. - Hongyu Li, Dan Meng, Xiaolin Li:
Knowledge Federation: Hierarchy and Unification. - Zhi Chen, Yijie Bei, Cynthia Rudin:
Concept Whitening for Interpretable Image Recognition. - Akshay Bhardwaj, Daniel Slavin, John Walsh, James S. Freudenberg, R. Brent Gillespie:
Rack Force Estimation for Driving on Uneven Roads. - Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein:
MadDroid: Characterising and Detecting Devious Ad Content for Android Apps. - Dan Wang, Xinrui Cui, Z. Jane Wang:
CHAIN: Concept-harmonized Hierarchical Inference Interpretation of Deep Convolutional Neural Networks. - Krishna D. N, Ankita Patil, M. S. P. Raj, Sai Prasad H. S, Prabhu Aashish Garapati:
Identification of Indian Languages using Ghost-VLAD pooling. - Maximilian Gerwien, Rick Voßwinkel, Hendrik Richter:
Convergence analysis of particle swarm optimization using stochastic Lyapunov functions and quantifier elimination. - Nguyen Hieu Thao, Oleg Soloviev, Michel Verhaegen:
Convex combination of alternating projection and Douglas-Rachford operators for phase retrieval. - Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King:
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. - Stefan Güttel, Daniel Kressner, Kathryn Lund:
Limited-memory polynomial methods for large-scale matrix functions. - David Vilares, Michalina Strzyz, Anders Søgaard, Carlos Gómez-Rodríguez:
Parsing as Pretraining. - Nasrin Razmi, Mehdi Mahdavi, Mohammadali Mohammadi, Petar Popovski:
Analysis of D2D Communication with RF Energy Harvesting and Interference Management. - Nicolas Turpault, Romain Serizel, Emmanuel Vincent:
Limitations of weak labels for embedding and tagging. - Xiaofu Wu, Suofei Zhang, Quan Zhou, Zhen Yang, Chunming Zhao, Longin Jan Latecki:
Entropy Minimization vs. Diversity Maximization for Domain Adaptation. - Josu Doncel, Mohamad Assaad:
Age of Information in a Decentralized Network of Parallel Queues with Routing and Packets Losses. - Matteo Bogo, Jacopo Soldani, Davide Neri, Antonio Brogi:
Component-aware Orchestration of Cloud-based Enterprise Applications, from TOSCA to Docker and Kubernetes. - Maria Albareda-Sambola, Marta Baldomero-Naranjo, Luisa I. Martínez-Merino, Diego Ponce, Miguel A. Pozo, Justo Puerto, Victoria Rebillas-Loredo:
Proceedings of the X International Workshop on Locational Analysis and Related Problems. - Daniel Laumer, Nico Lang, Natalie van Doorn, Oisin Mac Aodha, Pietro Perona, Jan Dirk Wegner:
Geocoding of trees from street addresses and street-level images. - Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye:
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. - Samia Aslam, Hamza Sami Ullah:
A Comprehensive Review of Smart Cities Components, Applications, and Technologies Based on Internet of Things. - Qi Yang, Aleksandr Farseev, Andrey Filchenkov:
I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance. - Longfei Yin, Bruno Clerckx:
Rate-Splitting Multiple Access for Multibeam Satellite Communications. - Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros:
Demystifying content-blockers: A large scale study of actual performance gains. - Atreyee Kundu:
Scheduling networked control systems under jamming attacks. - Pengcheng Zhang, Wennan Cao, Henry Muccini:
Quality Assurance Technologies of Big Data Applications: A Systematic Literature Review. - Mingchen Li, Zili Zhou, Yanna Wang:
Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction. - Jiakuo Zuo, Yuanwei Liu, Zhijin Qin, Naofal Al-Dhahir:
Resource Allocation in Intelligent Reflecting Surface Assisted NOMA Systems. - Russ Harmer, Eugenia Oshurko:
Knowledge representation and update in hierarchies of graphs. - Mihail Bogojeski, Simeon Sauer, Franziska Horn, Klaus-Robert Müller:
Forecasting Industrial Aging Processes with Machine Learning Methods. - Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak:
Feature-map-level Online Adversarial Knowledge Distillation. - Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas:
Evaluating approval-based multiwinner voting in terms of robustness to noise. - Amir Aly:
Human Posture Recognition and Gesture Imitation with a Humanoid Robot. - Joël Chaskalovic:
A probabilistic approach for exact solutions of determinist PDE's as well as their finite element approximations. - Mariano Ceccato, Davide Corradini, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Paolo Tonella:
A Framework for In-Vivo Testing of Mobile Applications. - Lei Chen, Mohammad Farajollahi, Mahdi Ghamkhari, Wei Zhao, Songling Huang, Hamed Mohsenian Rad:
Topology Identification in Distribution Networks using Harmonic Synchrophasor Measurements. - Ruoshi Wen, Kai Yuan, Qiang Wang, Shuai Heng, Zhibin Li:
Force-guided High-precision Grasping Control of Fragile and Deformable Objects using sEMG-based Force Prediction. - Jyoti Pareek, Hardik Joshi J., Krunal Chauhan, Rushikesh Patel:
Experiments with Different Indexing Techniques for Text Retrieval tasks on Gujarati Language using Bag of Words Approach. - Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or:
Proximity Preserving Binary Code using Signed Graph-Cut. - Sudhir R. Ghorpade, Prasant Singh:
Pure Resolutions, Linear Codes, and Betti Numbers. - Zhiyi Huang, Qiankun Zhang:
Online Primal Dual Meets Online Matching with Stochastic Rewards: Configuration LP to the Rescue. - Jan Eliás, Miroslav Vorechovský:
Fracture in random heterogeneous media: I. Discrete mesoscale simulations of load capacity and active zone. - Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. - David Mickisch, Felix Assion, Florens Greßner, Wiebke Günther, Mariele Motta:
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study. - Alessandro Bosso, Andrea Tilli, Christian Conficoni:
A Robust Sensorless Controller-Observer Strategy for PMSMs with Unknown Resistance and Mechanical Model. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Discontinuous Constituent Parsing with Pointer Networks. - Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele:
Analyzing the Dependency of ConvNets on Spatial Information. - Derk Frerichs, Christian Merdon:
Divergence-preserving reconstructions on polygons and a really pressure-robust virtual element method for the Stokes problem. - Annika Wolff, Antti Knutas, Paula Savolainen:
What prevents Finnish women from applying to software engineering roles? A preliminary analysis of survey data. - Uwe Meyer, Björn Pfarr:
Patterns for Name Analysis and Type Analysis with JastAdd. - Elad Kravi, Benny Kimelfeld, Yaron Kanza, Roi Reichart:
Automatic Location Type Classification From Social-Media Posts. - Alberto Garoffolo, Dmytro Kaidalov, Roman Oliynykov:
Zendoo: a zk-SNARK Verifiable Cross-Chain Transfer Protocol Enabling Decoupled and Decentralized Sidechains. - Jonathan Bauch, Boaz Nadler, Pini Zilber:
Rank 2r iterative least squares: efficient recovery of ill-conditioned low rank matrices from few entries. - Biao Yang, Guocheng Yan, Pin Wang, Ching-Yao Chan, Xiaofeng Liu, Yang Chen:
TPPO: A Novel Trajectory Predictor with Pseudo Oracle. - Fei Li:
Weight distributions of six families of 3-weight binary linear codes. - Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. - Ruixue Zhang, Wei Yang, Luyun Lin, Zhengkai Tu, Yuqing Xie, Zihang Fu, Yuhao Xie, Luchen Tan, Kun Xiong, Jimmy Lin:
Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents. - Ziang Xiao, Michelle X. Zhou, Wenxi Chen, Huahai Yang, Chang Yan Chi:
If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills. - Xiaodong Jia, Michael W. Mislove:
Completing Simple Valuations in K-categories. - Oscar Cornejo, Daniela Briola, Daniela Micucci, Leonardo Mariani:
CBR: Controlled Burst Recording. - George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat:
ε-shotgun: ε-greedy Batch Bayesian Optimisation. - Henri De Plaen, Michaël Fanuel, Johan A. K. Suykens:
Wasserstein Exponential Kernels. - Ilja Kuzborskij, Nicolò Cesa-Bianchi:
Locally-Adaptive Nonparametric Online Learning. - Kavosh Asadi, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman:
Deep RBF Value Functions for Continuous Control. - Jeremy D. Castagno, Ella M. Atkins:
Polygon Extraction from Triangular Meshes. - Houpu Yao, Yi Gao, Yongming Liu:
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction. - Dingchuan Xue, Yichao Zhu, Xu Guo:
Generation of smoothly-varying infill configurations from a continuous menu of cell patterns and the asymptotic analysis of its mechanical behaviour. - John Maclean, J. E. Bunder, Anthony J. Roberts:
A toolbox of Equation-Free functions in Matlab\Octave for efficient system level simulation. - Diab W. Abueidda, Seid Koric, Nahil A. Sobh:
Machine learning accelerated topology optimization of nonlinear structures. - Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. - Augusto Luis Ballardini, Daniele Cattaneo, Rubén Izquierdo, Ignacio Parra Alonso, Andrea Piazzoni, Miguel Ángel Sotelo, Domenico Giorgio Sorrenti:
Vehicle Ego-Lane Estimation with Sensor Failure Modeling. - Ali Maatouk, Yin Sun, Anthony Ephremides, Mohamad Assaad:
Status Updates with Priorities: Lexicographic Optimality. - Gedaliah Knizhnik, Mark Yim:
Design and Experiments with a Low-Cost Single-Motor Modular Aquatic Robot. - Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi, Rasmus Pagh, Ameya Velingker:
Pure Differentially Private Summation from Anonymous Messages. - Thai Duong, Nikhil Das, Michael C. Yip, Nikolay Atanasov:
Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping. - Remi A. Chou:
Explicit Codes for the Wiretap Channel: A Unified Design Framework. - Khansa Rasheed, Adnan Qayyum, Junaid Qadir, Shobi Sivathamboo, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien, Adeel Razi:
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review. - Changyu Deng, Can Qin, Wei Lu:
Deep-Learning-Enabled Simulated Annealing for Topology Optimization. - Xuan Hu, Joseph S. Friedman:
Hybrid Pass Transistor Logic with Dual-Gate Ambipolar CNTFETs. - Byungsoo Jeon, Namyong Park:
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos. - Ryan Kavanagh:
A Domain Semantics for Higher-Order Recursive Processes. - Rui Zhao, Volker Tresp, Wei Xu:
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning. - Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan:
Learning Probabilistic Intersection Traffic Models for Trajectory Prediction. - Daniel Gabric, Jeffrey O. Shallit:
Avoidance of split overlaps. - Mohamadreza Ahmadi, Arun Viswanathan, Michel D. Ingham, Kymie Tan, Aaron D. Ames:
Partially Observable Games for Secure Autonomy. - Arie Agranonik, Maya Herman, Mark Last:
Parallel 3DPIFCM Algorithm for Noisy Brain MRI Images. - Sai Krishna Telukuntla, Aditya Kapri, Wlodek Zadrozny:
UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B. - Arie Agranonik, Maya Herman, Mark Last:
3DPIFCM Novel Algorithm for Segmentation of Noisy Brain MRI Images. - Belinda Tzen, Maxim Raginsky:
A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics. - Erna Begovic:
Hybrid CUR-type decomposition of tensors in the Tucker format. - Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele:
Nested Barycentric Coordinate System as an Explicit Feature Map. - Nuo Wang Pierse, Jingwen Lu:
Aligning the Pretraining and Finetuning Objectives of Language Models. - Jinho Choi:
On Throughput of Compressive Random Access for One Short Message Delivery in IoT. - Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen:
Defending Adversarial Attacks via Semantic Feature Manipulation. - Christopher M. Cervantes:
From Route Instructions to Landmark Graphs. - Benwei Shi, Jeff M. Phillips:
A Deterministic Streaming Sketch for Ridge Regression. - Adnane Saoud, Pushpak Jagtap, Majid Zamani, Antoine Girard:
Compositional Abstraction-based Synthesis for Interconnected Systems: An Approximate Composition Approach. - Brian Choi, Parv Saxena, Ryan Huang, Randal Burns:
Observations on Porting In-memory KV stores to Persistent Memory. - Artem Govorov, Jin-Yi Cai, Martin E. Dyer:
A dichotomy for bounded degree graph homomorphisms with nonnegative weights. - Vahid Jamali, Antonia M. Tulino, Jaime Llorca, Elza Erkip:
Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff. - Roy D. Yates, Sanjit K. Kaul:
Age of Information in Uncoordinated Unslotted Updating. - Nabil Hossain, John Krumm, Tanvir Sajed, Henry A. Kautz:
Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines. - Deying Kong, Haoyu Ma, Yifei Chen, Xiaohui Xie:
Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation. - Zhichao Li, Omur Arslan, Nikolay Atanasov:
Fast and Safe Path-Following Control using a State-Dependent Directional Metric. - Xiaotian Zhang, Zhe Jia, Zachary E. Ross, Robert W. Clayton:
Extracting dispersion curves from ambient noise correlations using deep learning. - Henry Adams, Lara Kassab, Deanna Needell:
An Iterative Method for Structured Matrix Completion. - Milan Cvitkovic:
Supervised Learning on Relational Databases with Graph Neural Networks. - Timm Faulwasser, Alexander Murray:
Turnpike Properties in Discrete-Time Mixed-Integer Optimal Control. - (Withdrawn) Few-Shot Learning as Domain Adaptation: Algorithm and Analysis.
- Patrick E. Farrell, Lawrence Mitchell, L. Ridgway Scott, Florian Wechsung:
Robust multigrid methods for nearly incompressible elasticity using macro elements. - Elena Arseneva, Stefan Langerman:
Which convex polyhedra can be made by gluing regular hexagons? - Yutsuki Miyashita, Yuki Yamada, Hiroaki Hashiura, Atsuo Hazeyama:
Design of the Inspection Process Using the GitHub Flow in Project Based Learning for Software Engineering and Its Practice. - Toru Shimizu, Takahiro Yabe, Kota Tsubouchi:
Learning Fine Grained Place Embeddings with Spatial Hierarchy from Human Mobility Trajectories. - Saehong Park, Andrea Pozzi, Michael Whitmeyer, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura:
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. - (Withdrawn) Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism.
- Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang:
No-Regret Prediction in Marginally Stable Systems. - Qiuqiang Kong, Yuxuan Wang, Xuchen Song, Yin Cao, Wenwu Wang, Mark D. Plumbley:
Source separation with weakly labelled data: An approach to computational auditory scene analysis. - Shota Yasui, Gota Morishita, Komei Fujita, Masashi Shibata:
A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback. - Habeeb Hooshmand, James Caverlee:
Understanding Car-Speak: Replacing Humans in Dealerships. - Jason You:
Finite Hilbert Transform in Weighted L2 Spaces. - Steven Herbst, ByongChan Lim, Mark Horowitz:
Fast FPGA emulation of analog dynamics in digitally-driven systems. - Jason You:
Truncated Hilbert Transform: Uniqueness and a Chebyshev series Expansion Approach. - Pooja Gupta, Volkan Dedeoglu, Kamran Najeebullah, Salil S. Kanhere, Raja Jurdak:
Energy-aware Demand Selection and Allocation for Real-time IoT Data Trading. - Hannaneh Barahouei Pasandi, Tamer Nadeem:
MAC Protocol Design Optimization Using Deep Learning. - Akshay Rangesh, Bowen Zhang, Mohan M. Trivedi:
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge. - Sudam Surasinghe, Erik M. Bollt:
On Geometry of Information Flow for Causal Inference. - Ruiting Shao, Edward J. Delp:
Forensic Scanner Identification Using Machine Learning. - Wen-Ji Zhou, Yang Yu:
Temporal-adaptive Hierarchical Reinforcement Learning. - Nan Jiang, Jiawei Huang:
Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization. - Chao Li, Balaji Palanisamy:
Comparison of Decentralization in DPoS and PoW Blockchains. - Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar:
A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks. - Lijun Zhang, Shiyin Lu, Tianbao Yang:
Minimizing Dynamic Regret and Adaptive Regret Simultaneously. - Di Wu, Huayan Wan, Siping Liu, Weiren Yu, Zhanpeng Jin, Dakuo Wang:
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning. - Atreyee Kundu:
Data-based computation of stabilizing minimum dwell times for discrete-time switched linear systems. - Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou:
Secure Social Recommendation based on Secret Sharing. - Qiwei He, Liansheng Zhuang, Houqiang Li:
Soft Hindsight Experience Replay. - Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang:
Faster On-Device Training Using New Federated Momentum Algorithm. - Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu:
Privacy Preserving PCA for Multiparty Modeling. - Xinyi Zhang, Clay Patterson, Yongpan Liu, Chengmo Yang, Chun Jason Xue, Jingtong Hu:
Low Overhead Online Data Flow Tracking for Intermittently Powered Non-volatile FPGAs. - Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng:
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. - Sen Wang, J. Morris Chang:
Privacy-Preserving Boosting in the Local Setting. - S. H. Shabbeer Basha, Viswanath Pulabaigari, Snehasis Mukherjee:
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos. - Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, Hae Young Noh:
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring. - Herman Kamper, Yevgen Matusevych, Sharon Goldwater:
Multilingual acoustic word embedding models for processing zero-resource languages. - Hyungrok Ham, Tae Joon Jun, Daeyoung Kim:
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder. - Mohsen Mohammadkhani Razlighi, Nikola Zlatanov, Shiva Raj Pokhrel, Petar Popovski:
Optimal Centralized Dynamic-Time-Division-Duplex. - Jie Li, Yong Zhou, He Chen:
On the Age of Information for Multicast Transmission with Hard Deadlines in IoT Systems. - Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang:
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. - Minyoung Chung, Minkyung Lee, Jioh Hong, Sanguk Park, Jusang Lee, Jingyu Lee, Jeongjin Lee, Yeong-Gil Shin:
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation. - Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul:
PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives. - Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma:
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation. - Kumar Shikhar Deep, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Related Tasks can Share! A Multi-task Framework for Affective language. - Yasuhiro Katsura, Masato Uchida:
Bridging Ordinary-Label Learning and Complementary-Label Learning. - Daiki Tone, Daisuke Iwai, Shinsaku Hiura, Kosuke Sato:
FibAR: Embedding Optical Fibers in 3D Printed Objects for Active Markers in Dynamic Projection Mapping. - Taisei Asai, Kazuaki Tanaka, Shin'ichi Oishi:
Numerical verification for asymmetric solutions of the Hénon equation on the unit square. - Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular Automata for Drifting Data Streams. - Hongwei Liu, Xu Pan:
Generalized Pair Weights of Linear Codes and MacWilliams Extension Theorem. - Tatsuyuki Ueda, Daisuke Iwai, Takefumi Hiraki, Kosuke Sato:
IlluminatedFocus: Vision Augmentation using Spatial Defocusing via Focal Sweep Eyeglasses and High-Speed Projector. - Ruben P. Pieters, Tom Schrijvers:
PaSe: An Extensible and Inspectable DSL for Micro-Animations. - Maria Isabel Berenguer, Domingo Gámez:
Projected iterations of fixed point type to solve nonlinear partial Volterra integro-differential equations. - Qiang Li, Yuanmei Zhang, Yingyu Li, Yong Xiao, Xiaohu Ge:
Capacity-Aware Edge Caching in Fog Computing Networks. - Guy Amit, Ishai Rosenberg, Moshe Levy, Ron Bitton, Asaf Shabtai, Yuval Elovici:
Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization. - Francisco Jesús Martínez-Murcia, Andrés Ortiz, Miguel Lopez-Zamora, Juan Luis Luque, Almudena Giménez:
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia. - Yu-Ting Liu:
On the Fairness of Name-Based Rationing System for Purchases of Masks Policy. - Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini:
Relational Neural Machines. - Yan Yan, Ying Huang, Si Chen, Chunhua Shen, Hanzi Wang:
Joint Deep Learning of Facial Expression Synthesis and Recognition. - Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li:
AI-GAN: Attack-Inspired Generation of Adversarial Examples. - Jean Lahoud, Bernard Ghanem:
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training. - Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du:
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach. - Ibai Lana, Javier J. Sánchez Medina, Eleni I. Vlahogianni, Javier Del Ser:
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability. - Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving. - Farzam Fanitabasi, Edward Gaere, Evangelos Pournaras:
Decentralized Socio-technical Services and Applications for the Internet of Things - A Testbed Self-Integration. - Jakub Harasta, Tereza Novotná, Jaromír Savelka:
Citation Data of Czech Apex Courts. - Sen Zheng, Renate A. Schmidt:
Querying Guarded Fragments via Resolution. - Rishabh Gupta, Rajesh N. Rao:
Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion. - Abhijit Suprem, Calton Pu:
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention. - Liqun Qi, Yannan Chen, Mayank Bakshi, Xinzhen Zhang:
Triple Decomposition and Tensor Recovery of Third Order Tensors. - Evin Pinar Örnek:
Zero-Shot Activity Recognition with Videos. - Waixiang Cao, Lueling Jia, Zhimin Zhang:
A C1 Petrov-Galerkin method and Gauss collocation method for 1D general elliptic problems and superconvergence. - Bastian Hagedorn, Johannes Lenfers, Thomas Koehler, Sergei Gorlatch, Michel Steuwer:
A Language for Describing Optimization Strategies. - Dmitry Efimov, Di Xu, Luyang Kong, Alexey Nefedov, Archana Anandakrishnan:
Using generative adversarial networks to synthesize artificial financial datasets. - Henning Bonart, Christian Kahle:
Optimal Control of Sliding Droplets using the Contact Angle Distribution. - Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian:
Fair Correlation Clustering. - Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy:
Integrating Planning and Interpretable Goal Recognition for Autonomous Driving. - Edward Beeching, Christian Wolf, Jilles Dibangoye, Olivier Simonin:
EgoMap: Projective mapping and structured egocentric memory for Deep RL. - Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III:
Weighted Gradient Coding with Leverage Score Sampling. - Qize Yang, Ancong Wu, Wei-Shi Zheng:
Person Re-identification by Contour Sketch under Moderate Clothing Change. - Andre Coelho, Harsimran Singh, Tin Muskardin, Ribin Balachandran, Konstantin Kondak:
Smoother Position-Drift Compensation for Time Domain Passivity Approach based Teleoperation. - Anirudh Agarwal, Deepak Mishra:
Wireless Powered Protocol Exploiting Energy Harvesting During Cognitive Communications. - Woubshet Behutiye, Pertti Karhapää, Lidia López, Xavier Burgués Illa, Silverio Martínez-Fernández, Anna Maria Vollmer, Pilar Rodríguez, Xavier Franch, Markku Oivo:
Management of quality requirements in agile and rapid software development: A systematic mapping study. - Jan van den Brand, Yin Tat Lee, Aaron Sidford, Zhao Song:
Solving Tall Dense Linear Programs in Nearly Linear Time. - Gregory H. Teichert, Anirudh Natarajan, Anton Van der Ven, Krishna C. Garikipati:
Active learning workflows and integrable deep neural networks for representing the free energy functions of alloy. - Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms. - Diomidis Spinellis, Zoe Kotti, Audris Mockus:
A Dataset for GitHub Repository Deduplication. - Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery:
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention. - Hartwig Mayer, Ismael Bejarano, Daniel Fernandez, Gustavo Ajzenman, Nicolas Ayala, Nahuel Santoalla, Carlos Sarraute, Ariel Futoransky:
BatPay: a gas efficient protocol for the recurrent micropayment of ERC20 tokens. - Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum:
Fine-Grained Urban Flow Inference. - James Cranch, Simon Doherty, Georg Struth:
Convolution and Concurrency. - Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo:
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. - Gianira N. Alfarano, Francisco Javier Lobillo, Alessandro Neri:
Roos bound for skew cyclic codes in Hamming and rank metric. - Xiangcheng Zheng, V. J. Ervin, Hong Wang:
Optimal Petrov-Galerkin spectral approximation method for the fractional diffusion, advection, reaction equation on a bounded interval. - Li Weng, Lingzhi Ye, Jiangmin Tian, Jiuwen Cao, Jianzhong Wang:
Random VLAD based Deep Hashing for Efficient Image Retrieval. - Yigit Oktar, Erdem Okur, Mehmet Türkan:
The Mimicry Game: Towards Self-recognition in Chatbots. - Xiaoliang Luo, Brett D. Roads, Bradley C. Love:
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks. - Eric Silverman, Umberto Gostoli, Stefano Picascia, Jonatan Almagor, Mark McCann, Richard J. Shaw, Claudio Angione:
Situating Agent-Based Modelling in Population Health Research. - Henry von Wahl, Thomas Richter, Christoph Lehrenfeld:
An unfitted Eulerian finite element method for the time-dependent Stokes problem on moving domains. - Yingcheng Sun, Kenneth A. Loparo, Richard M. Kolacinski:
Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions. - Hao Du, Jing Guo, Ziming Li, Elaine Wong:
An Additive Decomposition in S-Primitive Towers. - Yoshihito Kazashi, Fabio Nobile:
Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval. - Ahad Hamednia, Nalin Kumar Sharma, Nikolce Murgovski, Jonas Fredriksson:
Computationally efficient algorithm for eco-driving over long look-ahead horizons. - Grégoire Cattan, Anton Andreev, César Mendoza, Marco Congedo:
A comparison of mobile VR display running on an ordinary smartphone with standard PC display for P300-BCI stimulus presentation. - Sören Bartels:
Nonconforming discretizations of convex minimization problems and precise relations to mixed methods. - Caelan Reed Garrett, Yijiang Huang, Tomás Lozano-Pérez, Caitlin Tobin Mueller:
Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion. - Andi Zang, Runsheng Xu, Zichen Li, David Doria:
Lane Boundary Geometry Extraction from Satellite Imagery. - Abdalrahman Hwoij, Mouhammd Al-Kasassbeh, Mustafa Al-Fayoumi:
Detecting Network Anomalies using Rule-based machine learning within SNMP-MIB dataset. - Hanisha Chowdary N, Karan K, Bharath K. P, Rajesh Kumar Muthu:
Data hiding in speech signal using steganography and encryption. - Zhuanghua Liu, Ivor W. Tsang:
Towards Sharper First-Order Adversary with Quantized Gradients. - Andre Lamurias, Diana F. Sousa, Francisco M. Couto:
Generating Scientific Question Answering Corpora from Q&A forums. - Roberto Amadini:
A Survey on String Constraint Solving. - Bo Chen:
Towards Designing A Secure Plausibly Deniable System for Mobile Devices against Multi-snapshot Adversaries - A Preliminary Design. - Adam H. Marblestone, Yan Wu, Greg Wayne:
Product Kanerva Machines: Factorized Bayesian Memory. - Clément Bouttier, Tommaso Cesari, Sébastien Gerchinovitz:
Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization. - Ke Chen, Gus Xia, Shlomo Dubnov:
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. - Daniel Daza, Michael Cochez:
Message Passing for Query Answering over Knowledge Graphs. - Jakkepalli Pavan Kumar, P. Venkata Subba Reddy:
Algorithmic Aspects of 2-Secure Domination in Graphs. - Eike Fokken, Tillmann Mühlpfordt, Timm Faulwasser, Simone Göttlich, Oliver Kolb:
Modeling and simulation of sector-coupled networks: A gas-power benchmark. - Romina Mir, Ali Marjaninejad, Francisco J. Valero Cuevas:
The utility of tactile force to autonomous learning of in-hand manipulation is task-dependent. - Ali Kheradmand:
Automatic Inference of High-Level Network Intents by Mining Forwarding Patterns. - Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang:
Reliability Validation of Learning Enabled Vehicle Tracking. - Bilal Ghanem, Jihen Karoui, Farah Benamara, Paolo Rosso, Véronique Moriceau:
Irony Detection in a Multilingual Context. - Vineet Goyal, Garud Iyengar, Rajan Udwani:
Online Allocation of Reusable Resources: Achieving Optimal Competitive Ratio. - Ilqar Ramazanli, Barnabás Póczos:
Optimal Adaptive Matrix Completion. - Michael Rudow, K. V. Rashmi, Venkatesan Guruswami:
A locality-based approach for coded computation. - Igor G. Vladimirov, Ian R. Petersen:
A homotopy approach to coherent quantum LQG control synthesis using discounted performance criteria. - Antoine Gautier, Matthias Hein, Francesco Tudisco:
Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains. - Pavel Gulyaev, Eugenia Elistratova, Vasily Konovalov, Yuri Kuratov, Leonid Pugachev, Mikhail Burtsev:
Goal-Oriented Multi-Task BERT-Based Dialogue State Tracker. - Shomik Jain, Balasubramanian Thiagarajan, Zhonghao Shi, Caitlyn Clabaugh, Maja J. Mataric:
Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorders. - Ezequiel Alvarez, Federico Lamagna, Cesar Miquel, Manuel Szewc:
Intelligent Arxiv: Sort daily papers by learning users topics preference. - Achu Wilson, Shaoxiong Wang, Branden Romero, Edward H. Adelson:
Design of a Fully Actuated Robotic Hand With Multiple Gelsight Tactile Sensors. - Mario Pennacchioni, Emanuele Munarini, Marco Mesiti:
The Sum Composition Problem. - Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John R. Anderson:
Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. - Qingshan Chen, Lili Ju, Roger Temam:
Conservative numerical schemes with optimal dispersive wave relations - Part II. Numerical evaluations. - Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren:
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. - Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho:
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. - Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. - Chung-Yi Lin, Victoria Kostina, Babak Hassibi:
Achieving the fundamental convergence-communication tradeoff with Differentially Quantized Gradient Descent. - Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
Scalable Communication Endpoints for MPI+Threads Applications. - Brendan Bena, Jugal Kalita:
Introducing Aspects of Creativity in Automatic Poetry Generation. - Herman Geuvers, Bart Jacobs:
Relating Apartness and Bisimulation. - Sriram Ganapathi Subramanian, Pascal Poupart, Matthew E. Taylor, Nidhi Hegde:
Multi Type Mean Field Reinforcement Learning. - Fenglei Fan, Ge Wang:
Duality of Width and Depth of Neural Networks. - Elette Boyle, Ran Cohen, Aarushi Goel:
Succinctly Reconstructed Distributed Signatures and Balanced Byzantine Agreement. - Vincent Heningburg, Cory D. Hauck:
Hybrid Solver for the Radiative Transport Equation Using Finite Volume and Discontinuous Galerkin. - Jack Parker-Holder, Vu Nguyen, Stephen Roberts:
One-Shot Bayes Opt with Probabilistic Population Based Training. - Subhash Lakshminarayana, Abla Kammoun, Mérouane Debbah, H. Vincent Poor:
Data-Driven False Data Injection Attacks Against Power Grid: A Random Matrix Approach. - Taejin Park, Ken'ichi Kumatani, Minhua Wu, Shiva Sundaram:
Robust Multi-channel Speech Recognition using Frequency Aligned Network. - Saptarshi Pal, Ayan Chatterjee, Dripto Bakshi, Amitava Mukherjee:
Link Capacity Distributions and Optimal Capacities for Competent Network Performance. - Tim Schrills, Thomas Franke:
How to Answer Why - Evaluating the Explanations of AI Through Mental Model Analysis. - Zhen Chen, Dongbin Xiu:
On generalized residue network for deep learning of unknown dynamical systems. - Rose Bohrer, André Platzer:
Constructive Hybrid Games. - Peng Chang, Taskin Padir:
Sim2Real2Sim: Bridging the Gap Between Simulation and Real-World in Flexible Object Manipulation. - Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi:
The Voltage Regulation of a Buck Converter Using a Neural Network Predictive Controller. - Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Opposite Structure Learning for Semi-supervised Domain Adaptation. - Didrik Nielsen, Ole Winther:
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow. - Milad Khaki:
Progressive Cleaning and Mining of Uncertain Smart Water Meter Data. - Amila Silva, Pei-Chi Lo, Ee-Peng Lim:
JPLink: On Linking Jobs to Vocational Interest Types. - Youshan Zhang, Brian D. Davison:
Impact of ImageNet Model Selection on Domain Adaptation. - Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan:
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. - Rohit Zambre, Megan Grodowitz, Aparna Chandramowlishwaran, Pavel Shamis:
Breaking Band: A Breakdown of High-performance Communication. - Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath:
Stability and Scalability of Blockchain Systems. - Enmao Diao, Jie Ding, Vahid Tarokh:
Multimodal Controller for Generative Models. - Rose Bohrer, André Platzer:
Refining Constructive Hybrid Games. - James Watson, Austin Miller, Nikolaus Correll:
Autonomous Industrial Assembly using Force, Torque, and RGB-D sensing. - Lei Lei, Yue Tan, Glenn Dahlenburg, Wei Xiang, Kan Zheng:
Dynamic Energy Dispatch in Isolated Microgrids Based on Deep Reinforcement Learning. - Divinah Nyasaka, Jing Wang, Haron Chweya Tinega:
Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network. - Ziqing Yang, Shoudong Han, Jun Zhao:
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks. - Yu Liu, Yuheng Wang, Haipeng Liu, Anfu Zhou, Jianhua Liu, Ning Yang:
Long-Range Gesture Recognition Using Millimeter Wave Radar. - Dongdong Jiang, Ying Cui:
ML Estimation and MAP Estimation for Device Activities in Grant-Free Random Access with Interference. - Xiaowen Gong:
Delay-Optimal Distributed Edge Computing in Wireless Edge Networks. - Yihan Du, Yan Yan, Si Chen, Yang Hua:
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation. - Jiequn Han, Jianfeng Lu, Mo Zhou:
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. - Wanxiang Yang, Yan Yan, Si Chen:
Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions. - Junwen Zhu, Weishu Liu:
A tale of two databases: The use of Web of Science and Scopus in academic papers. - Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao:
Image Fine-grained Inpainting. - Malong Ke, Zhen Gao, Yongpeng Wu:
Compressive Massive Access for Internet of Things: Cloud Computing or Fog Computing? - Ryan Keisler, Samuel W. Skillman, Sunny Gonnabathula, Justin Poehnelt, Xander Rudelis, Michael S. Warren:
Visual search over billions of aerial and satellite images. - Shuaichao Li, Wanqing Zhang, Ying Cui:
Jointly Sparse Signal Recovery via Deep Auto-Encoder and Parallel Coordinate Descent Unrolling. - Adarsh Kumar, Sandipan Dandapat, Sushil Chordia:
Translating Web Search Queries into Natural Language Questions. - Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder:
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. - Takaaki Kamigaki, Shun Suzuki, Hiroyuki Shinoda:
Noncontact Thermal and Vibrotactile Display Using Focused Airborne Ultrasound. - Daniel Herring, Michael Kirley, Xin Yao:
Dynamic Multi-objective Optimization of the Travelling Thief Problem. - Arman Karimian, Ziqi Yang, Roberto Tron:
Statistical Outlier Identification in Multi-robot Visual SLAM using Expectation Maximization. - Avery Miller, Andrzej Pelc, Ram Narayan Yadav:
Deterministic Leader Election in Anonymous Radio Networks. - Tim Leathart, Maksymilian Polaczuk:
Temporal Probability Calibration. - Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella:
Accelerating Deep Learning Inference via Freezing. - Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao:
Multimodal Matching Transformer for Live Commenting. - Patrick Keller, Laura Plein, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning. - Alexandros Stergiou, Ronald Poppe, Remco C. Veltkamp:
Learning Class Regularized Features for Action Recognition. - Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. - Robert De Mello Koch, Anita de Mello Koch, Nicholas Kastanos, Ling Cheng:
Short sighted deep learning. - Fei Ye, Xuxin Cheng, Pin Wang, Ching-Yao Chan:
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning. - Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve:
Memory Augmented Generative Adversarial Networks for Anomaly Detection. - Efstratios Doukakis, Kurt Debattista, Thomas Bashford-Rogers, Amar Dhokia, Ali Asadipour, Alan Chalmers, Carlo Harvey:
Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments. - Katharina Winter, Henning Femmer, Andreas Vogelsang:
How do Quantifiers Affect the Quality of Requirements? - Idris Kharroubi, Thomas Lim, Xavier Warin:
Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process. - Mertcan Cihan, Fadi Aldakheel, Blaz Hudobivnik, Peter Wriggers:
Virtual Element Formulation For Finite Strain Elastodynamics. - Rupak Majumdar, Necmiye Ozay, Anne-Kathrin Schmuck:
On Abstraction-Based Controller Design With Output Feedback. - Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts:
Ready Policy One: World Building Through Active Learning. - Hannes Bartz, Emna Ben Yacoub, Lorenza Bertarelli, Gianluigi Liva:
Protograph-Based Decoding of LDPC Codes with Hamming Weight Amplifiers. - Sha Luo, S. Hamidreza Kasaei, Lambert Schomaker:
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning. - Ge Song, Jun Zhao, Xiaoyang Tan:
Deep Robust Multilevel Semantic Cross-Modal Hashing. - Henry Wilde, Vincent A. Knight, Jonathan W. Gillard:
A novel initialisation based on hospital-resident assignment for the k-modes algorithm. - Mohamed Tarek, Kai Xu, Martin Trapp, Hong Ge, Zoubin Ghahramani:
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models. - Christian Haase-Schütz, Rainer Stal, Heinz Hertlein, Bernhard Sick:
Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning. - Audris Mockus, Diomidis Spinellis, Zoe Kotti, Gabriel John Dusing:
A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits. - Mounir Bensalem, Ítalo Brasileiro, André C. Drummond, Admela Jukan:
Embedding Jamming Attacks into Physical Layer Models in Optical Networks. - Nuri Benbarka, Hamd ul Moqeet Riaz, Andreas Zell:
FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders. - Pedro Antonino, A. W. Roscoe:
Formalising and verifying smart contracts with Solidifier: a bounded model checker for Solidity. - André Greiner-Petter, Moritz Schubotz, Fabian Müller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp:
Discovering Mathematical Objects of Interest - A Study of Mathematical Notations. - Anastasiia Varava, J. Frederico Carvalho, Danica Kragic, Florian T. Pokorny:
Free Space of Rigid Objects: Caging, Path Non-Existence, and Narrow Passage Detection. - Guangyue Han, Shlomo Shamai:
On Sampling Continuous-Time Gaussian Channels. - Nikolay Shvetsov, Nazar Buzun, Dmitry V. Dylov:
Unsupervised non-parametric change point detection in quasi-periodic signals. - Samuel Thiriot:
Impact of the Interaction Network on the Dynamics of Word-of-Mouth with Information Seeking. - Josep Díaz, Öznur Yasar Diner, Maria J. Serna, Oriol Serra:
On List k-Coloring Convex Bipartite Graphs. - Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer:
Machine Unlearning: Linear Filtration for Logit-based Classifiers. - Trevor Clokie, Thomas F. Lidbetter, Antonio Molina Lovett, Jeffrey O. Shallit, Leon Witzman:
Computational Aspects of Sturdy and Flimsy Numbers. - Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. - Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland:
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study. - Moshe Kravchik, Asaf Shabtai:
Can't Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks. - Shyam S. Chandramouli, Jay Sethuraman:
A note on the rationing of divisible and indivisible goods in a general network. - Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep HyperNetwork-Based MIMO Detection. - Tobias Alt, Joachim Weickert, Pascal Peter:
Translating Diffusion, Wavelets, and Regularisation into Residual Networks. - Shubham Vatsal, Naresh Purre, Sukumar Moharana, Gopi Ramena, Debi Prasanna Mohanty:
On-Device Information Extraction from SMS using Hybrid Hierarchical Classification. - Parth Shah, Vishvajit Bakrola:
Neural Machine Translation System of Indic Languages - An Attention based Approach. - Martin Kölbl, Stefan Leue, Thomas Wies:
TarTar: A Timed Automata Repair Tool. - Jalal Rachad, Ridha Nasri, Laurent Decreusefond:
Dynamic-TDD Interference Analysis in Macro-Cell and Small-Cell Deployments. - Yingcheng Sun, Kenneth A. Loparo:
Context Aware Image Annotation in Active Learning. - Hasan Ferit Eniser, Maria Christakis, Valentin Wüstholz:
RAID: Randomized Adversarial-Input Detection for Neural Networks. - Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman:
Efficient Topological Layer based on Persistent Landscapes. - Gregory Falco, Joshua E. Siegel:
Assuring Automotive Data and Software Integrity Employing Distributed Hash Tables and Blockchain. - Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth:
Inverse Learning of Symmetry Transformations. - Shaoshi Chen, Lixin Du, Manuel Kauers, Thibaut Verron:
Integral P-Recursive Sequences. - Ioannis Caragiannis, Stavros Ioannidis:
Computing envy-freeable allocations with limited subsidies. - Laxman Kumarapu, Prerana Mukherjee:
AnimePose: Multi-person 3D pose estimation and animation. - Andreas Vogelsang, Jonas Eckhardt, Daniel Méndez Fernández, Moritz Berger:
Views on Quality Requirements in Academia and Practice: Commonalities, Differences, and Context-Dependent Grey Areas. - Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu:
Reward-Free Exploration for Reinforcement Learning. - Krishna C. Bathina, Marijn ten Thij, Lorenzo Lorenzo-Luaces, Lauren A. Rutter, Johan Bollen:
Depressed individuals express more distorted thinking on social media. - Luis Ángel Larios Cárdenas, Frédéric Gibou:
A Deep Learning Approach for the Computation of Curvature in the Level-Set Method. - Eddy Truyen, Dimitri Van Landuyt, Davy Preuveneers, Bert Lagaisse, Wouter Joosen:
A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks. - Steven Finch:
Recursive PGFs for BSTs and DSTs. - Arvind K. Saibaba, Joseph L. Hart, Bart G. van Bloemen Waanders:
Randomized Algorithms for Generalized Singular Value Decomposition with Application to Sensitivity Analysis. - Zhe Ma, Jianfeng Dong, Yao Zhang, Zhongzi Long, Yuan He, Hui Xue, Shouling Ji:
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. - Luis Guerra, Bohan Zhuang, Ian Reid, Tom Drummond:
Switchable Precision Neural Networks. - Sanjit K. Kaul, Roy D. Yates:
Timely Updates By Multiple Sources: The M/M/1 Queue Revisited. - Do Ngoc Diep, Koji Nagata, Tadao Nakamura:
Nonparametric Regression Quantum Neural Networks. - Han Xiao, Qizhi Fang, Ding-Zhu Du:
Population Monotonic Allocation Schemes for Vertex Cover Games. - Chi-Ken Lu, Patrick Shafto:
Multi-source Deep Gaussian Process Kernel Learning. - Zhimin Hou, Kuangen Zhang, Yi Wan, Dongyu Li, Chenglong Fu, Haoyong Yu:
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP). - Dongwei Chen, Daliang Xu, Dong Tong, Kang Sun, Xuetao Guan, Chun Yang, Xu Cheng:
SMA: Eliminate Memory Spatial Errors via Saturation Memory Access. - Francis R. Bach:
On the Effectiveness of Richardson Extrapolation in Machine Learning. - Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing:
Causally Correct Partial Models for Reinforcement Learning. - Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin:
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. - Li Chen, Shuizheng Zhou, Jiajun Ma:
Stable Sparse Subspace Embedding for Dimensionality Reduction. - Li Chen, Shuisheng Zhou, Jiajun Ma:
Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization. - Georg Pichler, Pablo Piantanida, Günther Koliander:
On the Estimation of Information Measures of Continuous Distributions. - Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde:
Input Dropout for Spatially Aligned Modalities. - Sazzadur Rahaman, Gang Wang, Danfeng Yao:
Security Certification in Payment Card Industry: Testbeds, Measurements, and Recommendations. - Peter Hirsch, Dagmar Kainmueller:
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. - Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu:
Learning Implicit Generative Models with Theoretical Guarantees. - Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau:
Provably efficient reconstruction of policy networks. - Younghan Jeon, Minsik Lee, Jin Young Choi:
Differentiable Fixed-Point Iteration Layer. - Jakub M. Tomczak, Ewelina Weglarz-Tomczak, Ágoston E. Eiben:
Differential Evolution with Reversible Linear Transformations. - David Barmherzig, Alex H. Barnett, Charles L. Epstein, Leslie Greengard, Jeremy F. Magland, Manas Rachh:
Recovering missing data in coherent diffraction imaging. - Shrimai Prabhumoye, Margaret Li, Jack Urbanek, Emily Dinan, Douwe Kiela, Jason Weston, Arthur Szlam:
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents. - Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi:
Targeted display advertising: the case of preferential attachment. - Mingcong Yang, Qian Wu, Maiko Shigeno, Yongbing Zhang:
Multilayer Routing and Resource Assignment in Spatial Channel Networks (SCNs): Oriented Toward the Massive SDM Era. - Roger D. Soberanis-Mukul, Maxime Kayser, Anna-Maria Zvereva, Peter Klare, Nassir Navab, Shadi Albarqouni:
A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks. - Kairo Morton, William T. Hallahan, Elven Shum, Ruzica Piskac, Mark Santolucito:
Grammar Filtering For Syntax-Guided Synthesis. - Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin:
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning. - Francesco Locatello, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen:
Weakly-Supervised Disentanglement Without Compromises. - Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
Meta-learning framework with applications to zero-shot time-series forecasting. - Varun Nayak, Daniel Kraus:
Session-Based Recommender Systems for Action Selection in GUI Test Generation. - Yu Zhang, Tao Gu, Xi Zhang:
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing. - Robert Dickerson, Qianchuan Ye, Benjamin Delaware:
RHLE: Automatic Verification of ∀∃-Hyperproperties. - Xian Zhang, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Jiancheng Lv, Canghong Shi, Xiaojie Li:
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting. - Siamak Ravanbakhsh:
Universal Equivariant Multilayer Perceptrons. - Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin:
Learning Autoencoders with Relational Regularization. - Graham Campbell, Jack Romo, Detlef Plump:
Improving the GP 2 Compiler. - Sharon Zhou, Jiequan Zhang, Hang Jiang, Torbjörn Lundh, Andrew Y. Ng:
Data augmentation with Möbius transformations. - Qian Liu, Dongyang Cai, Jie Liu, Nan Ding, Tao Wang:
iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention. - Yidan Qin, Sahba Aghajani Pedram, Seyedshams Feyzabadi, Max Allan, A. Jonathan McLeod, Joel W. Burdick, Mahdi Azizian:
Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources. - David Alvarez-Melis, Nicoló Fusi:
Geometric Dataset Distances via Optimal Transport. - Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah:
Subspace Capsule Network. - Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou:
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. - Matthias Kirchner, Cameron Johnson:
SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning. - Venkatraman Renganathan, Iman Shames, Tyler H. Summers:
Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints. - Sven Linker:
Intuitionistic Euler-Venn Diagrams (extended). - Xiaofeng Cai, Jing-Mei Qiu, Yang Yang:
An Eulerian-Lagrangian discontinuous Galerkin method for transport problems and its application to nonlinear dynamics. - Vítor Albiero, Kai Zhang, Kevin W. Bowyer:
How Does Gender Balance In Training Data Affect Face Recognition Accuracy? - Cameron Reid:
Student/Teacher Advising through Reward Augmentation. - Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa:
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. - Paul Maragakis, Hunter M. Nisonoff, Brian Cole, David E. Shaw:
A deep-learning view of chemical space designed to facilitate drug discovery. - Timothy Foldy-Porto, Priyadarshini Panda:
Activation Density driven Energy-Efficient Pruning in Training. - Gil I. Shamir:
Logistic Regression Regret: What's the Catch? - Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh:
A Multilingual View of Unsupervised Machine Translation. - Yuan-Hang Zhang, Rulin Huang, Jiabei Zeng, Shiguang Shan, Xilin Chen:
M3T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild. - Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith:
Revisiting Spatial Invariance with Low-Rank Local Connectivity. - Merten Popp, Sebastian Schlag, Christian Schulz, Daniel Seemaier:
Multilevel Acyclic Hypergraph Partitioning. - Huiping Shen, Damien Chablat, Boxiong Zeng, Ju Li, Guanglei Wu, Tingli Yang:
A Translational Three-Degrees-of-Freedom Parallel Mechanism With Partial Motion Decoupling and Analytic Direct Kinematics. - Rodrigo A. Velez:
A polynomial algorithm for maxmin and minmax envy-free rent division on a soft budget. - Ayesha Afzal, Georg Hager, Gerhard Wellein:
Desynchronization and Wave Pattern Formation in MPI-Parallel and Hybrid Memory-Bound Programs. - Chuanyu Yang, Kai Yuan, Wolfgang Merkt, Taku Komura, Sethu Vijayakumar, Zhibin Li:
Learning Whole-body Motor Skills for Humanoids. - Michael Cerny Green, Luvneesh Mugrai, Ahmed Khalifa, Julian Togelius:
Mario Level Generation From Mechanics Using Scene Stitching. - Liyan Chen, Philip Gautier, Sergül Aydöre:
DropCluster: A structured dropout for convolutional networks. - Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. - Prasad Raghavendra, Morris Yau:
List Decodable Subspace Recovery. - Ben Stevens, Tim Colonius:
FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations. - Aaron Kandel, Scott J. Moura:
Safe Wasserstein Constrained Deep Q-Learning. - Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. - Shane T. Mueller:
Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images. - Daniel Mox, Miguel Calvo-Fullana, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
Mobile Wireless Network Infrastructure on Demand. - Hossein Rastgoftar, Ella M. Atkins, Ilya V. Kolmanovsky:
Scalable Vehicle Team Continuum Deformation Coordination with Eigen Decomposition. - Tim Menzner, Travis Gesslein, Alexander Otte, Jens Grubert:
Above Surface Interaction for Multiscale Navigation in Mobile Virtual Reality. - Adarsh Jagan Sathyamoorthy, Jing Liang, Utsav Patel, Tianrui Guan, Rohan Chandra, Dinesh Manocha:
DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors. - George Mathew, Chris Parnin, Kathryn T. Stolee:
SLACC: Simion-based Language Agnostic Code Clones. - Ricard Durall, Franz-Josef Pfreundt, Janis Keuper:
Local Facial Attribute Transfer through Inpainting. - Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. - Goutham Ramakrishnan, Jordan Henkel, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas W. Reps:
Semantic Robustness of Models of Source Code. - Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Massive Unsourced Random Access Based on Uncoupled Compressive Sensing: Another Blessing of Massive MIMO. - Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan:
Snippext: Semi-supervised Opinion Mining with Augmented Data. - Janardan Misra:
autoNLP: NLP Feature Recommendations for Text Analytics Applications. - Lum Ramabaja, Arber Avdullahu:
The Bloom Tree. - Ronak Tanna, Shivam Dhar, Ashwin Sudhir, Shreyash Devan, Shubham Verma:
Lessons Learned Developing and Extending a Visual Analytics Solution for Investigative Analysis of Scamming Activities. - Yongzhen Wang, Xiaozhong Liu, Yingnan Ju, Katy Börner, Jun Lin, Changlong Sun, Luo Si:
Romance in China: Mining and Visualizing 10 Million Alibaba Valentine Purchases. - Rui Wang, Robin Walters, Rose Yu:
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization. - Meia Chita-Tegmark, Matthias Scheutz:
Assistive robots for the social management of health: a framework for robot design and human-robot interaction research. - Edward Gan, Peter Bailis, Moses Charikar:
Storyboard: Optimizing Precomputed Summaries for Aggregation. - Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
Learning from, Understanding, and Supporting DevOps Artifacts for Docker. - Duo Chai, Wei Wu, Qinghong Han, Fei Wu, Jiwei Li:
Description Based Text Classification with Reinforcement Learning. - Garvit Dewan, Louis Jenkins:
Paving the way for Distributed Non-Blocking Algorithms and Data Structures in the Partitioned Global Address Space. - Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári:
Provably Efficient Adaptive Approximate Policy Iteration. - Nariman Torkzaban, Anousheh Gholami, Chrysa Papagianni, John S. Baras:
Joint Satellite Gateway Placement and Routing for Integrated Satellite-Terrestrial Networks. - Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos:
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials. - Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi S. Jaakkola:
Blank Language Models. - Adam Dziedzic, Sanjay Krishnan:
An Empirical Evaluation of Perturbation-based Defenses. - Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. - Xiaoya Li, Yuxian Meng, Arianna Yuan, Fei Wu, Jiwei Li:
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention. - Quan Hoang Nguyen, Andre Cronje:
On Probabilistic Byzantine Fault Tolerance. - Shimin Wang, Xiangyu Meng:
Adaptive Output Consensus For Multi-Agent Systems With An Uncertain Leader. - Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos:
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. - Muthu Madhan, Subbiah Gunasekaran, Rani M. T, Subbiah Arunachalam, T. A. Abinandanan:
Chemistry research in India in a global perspective- A scientometrics profile. - Lu Chen, Wei Xu:
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks. - Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu:
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. - Anuraganand Sharma:
A Constraint Driven Solution Model for Discrete Domains with a Case Study of Exam Timetabling Problems. - Changjian Chen, Jun Yuan, Yafeng Lu, Yang Liu, Hang Su, Songtao Yuan, Shixia Liu:
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples. - Tong-Xing Zheng, Hui-Ming Wang, Derrick Wing Kwan Ng, Jinhong Yuan:
Physical-Layer Security in the Finite Blocklength Regime over Fading Channels. - Pu Yuan, Kan Zheng, Xiong Xiong, Kuan Zhang, Lei Lei:
Performance Modeling and Analysis of a Hyperledger-based System Using GSPN. - Martin Lind:
An improvement of Koksma's inequality and convergence rates for the quasi-Monte Carlo method. - Magdalena Kacprzak, Artur Niewiadomski, Wojciech Penczek:
SAT-Based ATL Satisfiability Checking. - Suttinee Sawadsitang, Dusit Niyato, Puay Siew Tan, Ping Wang, Sarana Nutanong:
Shipper Cooperation in Stochastic Drone Delivery: A Dynamic Bayesian Game Approach. - Bilal Thonnam Thodi, Timothy Mulumba, Saif Eddin Jabari:
Noticeability Versus Impact in Traffic Signal Tampering. - Franz Zieris, Lutz Prechelt:
PP-ind: A Repository of Industrial Pair Programming Session Recordings. - Alon Gonen, Shachar Lovett, Michal Moshkovitz:
Towards a combinatorial characterization of bounded memory learning. - Andrea Fiandro, Giorgio Crepaldi, Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion. - Yunsheng Bai, Derek Xu, Alex Wang, Ken Gu, Xueqing Wu, Agustin Marinovic, Christopher Ro, Yizhou Sun, Wei Wang:
Fast Detection of Maximum Common Subgraph via Deep Q-Learning. - Tengyu Ma, Joel Michelson, James Ainooson, Deepayan Sanyal, Xiaohan Wang, Maithilee Kunda:
Variable-Viewpoint Representations for 3D Object Recognition. - Xiaohan Wang, Yu Wu, Linchao Zhu, Yi Yang:
Symbiotic Attention with Privileged Information for Egocentric Action Recognition. - Hongwu Kuang, Xiaodong Liu, Jingwei Zhang, Zicheng Fang:
Multi-Modality Cascaded Fusion Technology for Autonomous Driving. - Qiming Bao, Lin Ni, Jiamou Liu:
HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention. - Minhan Tian, Guiguo Feng, Wangmei Guo, Jingliang Gao, Yongkang Li:
Achievable Rate of Multi-Antenna WSRNs with EH Constraint in the presence of a Jammer. - Andrei Bytes, Jay Prakash, Jianying Zhou, Tony Q. S. Quek:
On the Insecurities of Mobile D2D File Sharing Applications. - Yuri Gurevich:
Means-fit effectivity. - Taejoon Byun, Sanjai Rayadurgam:
Manifold for Machine Learning Assurance. - Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan:
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. - (Withdrawn) Mining Commonsense Facts from the Physical World.
- Xiaoran Ruan, Ke Li, Bilel Derbel, Arnaud Liefooghe:
Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems. - Qian Liu, Tao Wang, Jie Liu, Yang Guan, Qi Bu, Longfei Yang:
CTM: Collaborative Temporal Modeling for Action Recognition. - Hanan Shteingart, Eran Marom, Igor Itkin, Gil Shabat, Michael Kolomenkin, Moshe Salhov, Liran Katzir:
Majority Voting and the Condorcet's Jury Theorem. - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Random Features Strengthen Graph Neural Networks. - Haijian Zhang:
A Time-Frequency Perspective on Audio Watermarking. - Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao:
Sparsity-Aware Deep Learning for Automatic 4D Facial Expression Recognition. - Chandra Sekhar Ravuri, Rajesh Sureddi, Dendi Sathya Veera Reddy, Shanmuganathan Raman, Sumohana S. Channappayya:
Deep No-reference Tone Mapped Image Quality Assessment. - Evgenii Safronov:
Node Templates to improve Reusability and Modularity of Behavior Trees. - Erman Acar, Reshef Meir:
Distance-based Equilibria in Normal-Form Games. - Bhavook Bhardwaj, Rajnish Kumar, Josue Ortega:
Fairness and Efficiency in Cake-Cutting with Single-Peaked Preferences. - Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints. - Illia Horenko:
On a scalable entropic breaching of the overfitting barrier in machine learning. - J. Saketha Nath, Pratik Jawanpuria:
Statistical Optimal Transport posed as Learning Kernel Embedding. - Thomas Molnar, Eugenio Culurciello:
Capsule Network Performance with Autonomous Navigation. - Zafaryab Rasool, Rui Zhou, Lu Chen, Chengfei Liu, Jiajie Xu:
Index-based Solutions for Efficient Density Peaks Clustering. - Vasileios Lioutas, Yuhong Guo:
Time-aware Large Kernel Convolutions. - Hao Zhou, Wengang Zhou, Yun Zhou, Houqiang Li:
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition. - Dana Angluin, Dana Fisman:
Polynomial time algorithms for inclusion and equivalence of deterministic omega acceptors. - Benjamin T. Cecchetto:
Correction of Chromatic Aberration from a Single Image Using Keypoints. - Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück:
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator. - Kok Yew Ng, Erik Frisk, Mattias Krysander, L. Eriksson:
A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies. - Yingcheng Sun, Richard M. Kolacinski, Kenneth A. Loparo:
Eliminating Search Intent Bias in Learning to Rank. - Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer:
Exploring the Memorization-Generalization Continuum in Deep Learning. - Nicolas T. Courtois:
Invariant Hopping Attacks on Block Ciphers. - Marco Molinaro:
Curvature of Feasible Sets in Offline and Online Optimization. - Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Inference for Batched Bandits. - Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta:
Conservative Exploration in Reinforcement Learning. - Gaowen Liu, Hao Tang, Hugo Latapie, Yan Yan:
Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network. - Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta:
Improved Algorithms for Conservative Exploration in Bandits. - Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai:
SUOD: Toward Scalable Unsupervised Outlier Detection. - Liang Liao, Stephen John Maybank:
Intrinsic Dimension Estimation via Nearest Constrained Subspace Classifier. - Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert:
Supervised Quantile Normalization for Low-rank Matrix Approximation. - Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Hierarchical Generation of Molecular Graphs using Structural Motifs. - Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi:
Soft Threshold Weight Reparameterization for Learnable Sparsity. - Francois Robert Hogan, José Ballester, Siyuan Dong, Alberto Rodriguez:
Tactile Dexterity: Manipulation Primitives with Tactile Feedback. - Jaspar Pahl, Ines Rieger, Dominik Seuss:
Multi-Label Class Balancing Algorithm for Action Unit Detection. - Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi:
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. - Vincent Micheli, Karthigan Sinnathamby, François Fleuret:
Multi-task Reinforcement Learning with a Planning Quasi-Metric. - Zhun Fan, Chong Li, Ying Chen, Paola Di Mascio, Xiaopeng Chen, Guijie Zhu, Giuseppe Loprencipe:
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement. - Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Composing Molecules with Multiple Property Constraints. - Andrew Best, Sahil Narang, Dinesh Manocha:
SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning. - Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. - Cody Rivera, Jieyang Chen, Nan Xiong, Shuaiwen Leon Song, Dingwen Tao:
ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs. - Nidhika Yadav, Niladri Chatterjee:
Rough Set based Aggregate Rank Measure & its Application to Supervised Multi Document Summarization. - Tianjian Lu, Yi-Fan Chen, Blake A. Hechtman, Tao Wang, John R. Anderson:
Large-Scale Discrete Fourier Transform on TPUs. - Sen Wang, J. Morris Chang:
Privacy-Preserving Image Classification in the Local Setting. - Junnan Li, Ziwei Xu, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
GradMix: Multi-source Transfer across Domains and Tasks. - Jing Cheng, Chao Shen, Shuqiang Xia:
Robust URLLC Packet Scheduling of OFDM Systems. - Junnan Li, Jianquan Liu, Yongkang Wong, Shoji Nishimura, Mohan S. Kankanhalli:
Weakly-Supervised Multi-Person Action Recognition in 360° Videos. - Jun Yamada, John Shawe-Taylor, Zafeirios Fountas:
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning. - Ziqi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin:
Learning efficient structured dictionary for image classification. - Wonjoon Goo, Scott Niekum:
Local Nonparametric Meta-Learning. - Yossi Arjevani, Amit Daniely, Stefanie Jegelka, Hongzhou Lin:
On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions. - Shriram Ramesh, Animesh Baranawal, Yogesh Simmhan:
A Distributed Path Query Engine for Temporal Property Graphs. - Haoyu Qin:
Asymmetric Rejection Loss for Fairer Face Recognition. - Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Clark Glymour:
Domain Adaptation As a Problem of Inference on Graphical Models. - Deyue Zhang, Yukun Guo, Fenglin Sun, Xianchao Wang:
Reconstruction of acoustic sources from multi-frequency phaseless far-field data. - Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification. - Bo Peng, Jiahai Wang, Zizhen Zhang:
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems. - Jiawei Zhang:
Segmented Graph-Bert for Graph Instance Modeling. - Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen:
Target Privacy Preserving for Social Networks. - Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui:
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm. - Ghassen Zafzouf, Girish N. Nair:
Distributed State Estimation with Bounded Errors over Multiple Access Channels. - Hristo S. Paskov, Alex Paskov, Robert West:
Learning High Order Feature Interactions with Fine Control Kernels. - Morteza Mousa Pasandi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani:
Convolutional Neural Network Pruning Using Filter Attenuation. - Omar Alhussein, Phu Thinh Do, Qiang Ye, Junling Li, Weisen Shi, Weihua Zhuang, Xuemin Shen, Xu Li, Jaya Rao:
A Virtual Network Customization Framework for Multicast Services in NFV-enabled Core Networks. - Emad Malekhosseini, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani:
Splitting Convolutional Neural Network Structures for Efficient Inference. - Ashok Cutkosky, Harsh Mehta:
Momentum Improves Normalized SGD. - Claudio Zito:
Thesis Proposal. - Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu:
Face Hallucination with Finishing Touches. - Han B. Kim, Hieu Nguyen, Qingchu Jin, Sharmila Tamby, Tatiana Gelaf Romer, Eric Sung, Ran Liu, Joseph L. Greenstein, Jose I. Suarez, Christian Storm, Raimond L. Winslow, Robert D. Stevens:
A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction. - Sheng-lan Liu, Xiang Liu, Gao Huang, Lin Feng, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Hong Qiao:
FSD-10: A Dataset for Competitive Sports Content Analysis. - Alfred Marcel Bruckstein, Martianus Frederic Ezerman, Adamas Aqsa Fahreza, San Ling:
Holographic Image Sensing. - Emmanuel Abbe, Amir Shpilka, Min Ye:
Reed-Muller Codes: Theory and Algorithms. - Sajjad Abbasi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani:
Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer. - Xingchen Zhang, Ping Ye, Gang Xiao:
VIFB: A Visible and Infrared Image Fusion Benchmark. - Lina S. Mohjazi, Sami Muhaidat, Mehrdad Dianati, Mahmoud Al-Qutayri, Naofal Al-Dhahir:
Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise. - Chen Tessler, Shie Mannor:
Maximizing the Total Reward via Reward Tweaking. - Yufeng Zhang, Wanwei Liu, Zhenbang Chen, Ji Wang, Zhiming Liu, Kenli Li, Hongmei Wei, Zuoning Chen:
Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models. - Xiruo Wang, Risto Miikkulainen:
MDEA: Malware Detection with Evolutionary Adversarial Learning. - Hila Levi, Shimon Ullman:
Multi-Task Learning by a Top-Down Control Network. - Jiangchao Liu, Liqian Chen, Antoine Miné, Ji Wang:
Input Validation for Neural Networks via Runtime Local Robustness Verification. - Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Yi Yang, Shilei Wen:
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition. - Christie L. Alappat, Johannes Hofmann, Georg Hager, Holger Fehske, Alan R. Bishop, Gerhard Wellein:
Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors. - Emmanouil Fountoulakis, Georgios S. Paschos, Nikolaos Pappas:
UAV Trajectory Optimization for Time Constrained Applications. - (Withdrawn) Short Text Classification via Knowledge powered Attention with Similarity Matrix based CNN.
- Ran Haba, Ehsan Kazemi, Moran Feldman, Amin Karbasi:
Streaming Submodular Maximization under a k-Set System Constraint. - Yifeng Ding, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhanyu Ma, Zhongwei Si, Haibin Ling:
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. - Abdullah Makkeh, Aaron J. Gutknecht, Michael Wibral:
A differentiable measure of pointwise shared information. - Kailiang Wu, Chi-Wang Shu:
Provably Physical-Constraint-Preserving Discontinuous Galerkin Methods for Multidimensional Relativistic MHD Equations. - Rawad Bitar, Sidharth Jaggi:
Communication Efficient Secret Sharing in the Presence of Malicious Adversary. - Giuseppe Antonio Di Luna, Paola Flocchini, Nicola Santoro, Giovanni Viglietta, Yukiko Yamauchi:
Mobile RAM and Shape Formation by Programmable Particles. - Samir Passi, Steven J. Jackson:
Data Vision: Learning to See Through Algorithmic Abstraction. - Shushan Arakelyan, Christophe Hauser, Erik Kline, Aram Galstyan:
Towards Learning Representations of Binary Executable Files for Security Tasks. - Samir Passi, Steven J. Jackson:
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects. - Stephan Kleber, Rens W. van der Heijden, Frank Kargl:
Message Type Identification of Binary Network Protocols using Continuous Segment Similarity. - Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty:
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs. - Philipp Sauerteig, Yuning Jiang, Boris Houska, Karl Worthmann:
Distributed Control Enforcing Group Sparsity in Smart Grids. - Felix Kuhnke, Lars Rumberg, Jörn Ostermann:
Two-Stream Aural-Visual Affect Analysis in the Wild. - Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li:
Butterfly factorization via randomized matrix-vector multiplications. - Ahmed Magooda, Cezary Marcjan:
Attend to the beginning: A study on using bidirectional attention for extractive summarization. - Ahmed Magooda, Diane J. Litman:
Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis. - Mohammad Bahrami, Mahyar Naraghi, Mohammad Zareinejad:
Adaptive super-twisting observer for fault reconstruction in electro-hydraulic systems. - Ronitt Rubinfeld, Arsen Vasilyan:
Monotone probability distributions over the Boolean cube can be learned with sublinear samples. - William Blair, Andrea Mambretti, Sajjad Arshad, Michael Weissbacher, William K. Robertson, Engin Kirda, Manuel Egele:
HotFuzz: Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing. - Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. - Michael Ruderman:
On stability of linear dynamic systems with hysteresis feedback. - Felix Wick, Ulrich Kerzel, Michael Feindt:
Cyclic Boosting - an explainable supervised machine learning algorithm. - Jiawei Zhang:
Graph Neural Distance Metric Learning with Graph-Bert. - Elizabeth Liner, Risto Miikkulainen:
Improving Neural Network Learning Through Dual Variable Learning Rates. - Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu:
On the distance between two neural networks and the stability of learning. - Simos Gerasimou, Hasan Ferit Eniser, Alper Sen, Alper Çakan:
Importance-Driven Deep Learning System Testing. - Erica Blum, Jonathan Katz, Julian Loss:
Network-Agnostic State Machine Replication. - Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. - Bart M. P. Jansen, Michal Wlodarczyk:
Optimal polynomial-time compression for Boolean Max CSP. - Yunzhe Xue, Meiyan Xie, Usman Roshan:
Robust binary classification with the 01 loss. - Przemyslaw Uznanski:
Approximating Text-to-Pattern Distance via Dimensionality Reduction. - Wenrui Hao, Chunyue Zheng:
An adaptive homotopy method for computing bifurcations of nonlinear parametric systems. - Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised POI Recommendation. - Omar Alhussein, Weihua Zhuang:
Robust Online Composition, Routing and NF Placement for NFV-enabled Services. - Filipo Sharevski, Paige Treebridge, Peter Jachim, Audrey Li, Adam Babin, Jessica Westbrook:
Meet Malexa, Alexa's Malicious Twin: Malware-Induced Misperception Through Intelligent Voice Assistants. - Peng Chen, Omar Ghattas:
Projected Stein Variational Gradient Descent. - Yamin Yan, Zhiyong Chen, Vijay Varadharajan:
Secure Networked Control of Large-Scale Cyberphysical Systems Using Cryptographic Techniques. - Yaxiong Xie, Fan Yi, Kyle Jamieson:
PBE-CC: Congestion Control via Endpoint-Centric, Physical-Layer Bandwidth Measurements. - Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez:
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. - Jeremy Nixon, Jeremiah Z. Liu, David Berthelot:
Semi-Supervised Class Discovery. - Alex S. Ira, Chris Manzie, Iman Shames, Robert Chin, Dragan Nesic, Hayato Nakada, Takeshi Sano:
Tuning of multivariable model predictive controllersthrough expert bandit feedback. - Dhairya Dalal, Byron V. Galbraith:
Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis. - Nazar Waheed, Xiangjian He, Muhammad Usman, Muhammad Usman:
Security & Privacy in IoT Using Machine Learning & Blockchain: Threats & Countermeasures. - Mohammad Tahan, David Bamgboje, T. Hu:
Flyback-Based Multiple Output dc-dc Converter with Independent Voltage Regulation. - Xiaoming Chen, Derrick Wing Kwan Ng, Wei Yu, Erik G. Larsson, Naofal Al-Dhahir, Robert Schober:
Massive Access for 5G and Beyond. - Tianshu Hao, Jianfeng Zhan, Kai Hwang, Wanling Gao, Xu Wen:
AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing. - Zeke Xie, Issei Sato, Masashi Sugiyama:
A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast. - Takeshi Teshima, Issei Sato, Masashi Sugiyama:
Few-shot Domain Adaptation by Causal Mechanism Transfer. - Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Wei Feng, Yang Liu:
ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack. - Seunghyeok Back, Jongwon Kim, Raeyoung Kang, Seungjun Choi, Kyoobin Lee:
Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data. - Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi:
Regularized Submodular Maximization at Scale. - Saba Ahmadi, Sainyam Galhotra, Barna Saha, Roy Schwartz:
Fair Correlation Clustering. - Shangbang Long, Yushuo Guan, Kaigui Bian, Cong Yao:
A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling. - Jiajun Ou, Xiao Guo, Ming Zhu, Wenjie Lou:
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q network with monocular vision. - Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou:
Learning Stochastic Behaviour of Aggregate Data. - Bassem Makni, Ibrahim Abdelaziz, James A. Hendler:
Explainable Deep RDFS Reasoner. - Aditya Ramamoorthy, Anindya Bijoy Das, Li Tang:
Straggler-resistant distributed matrix computation via coding theory. - Avrim Blum, Travis Dick, Naren Manoj, Hongyang Zhang:
Random Smoothing Might be Unable to Certify 𝓁∞ Robustness for High-Dimensional Images. - Steven Cao, Nikita Kitaev, Dan Klein:
Multilingual Alignment of Contextual Word Representations. - Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. - Saeideh Roshanfekr, Shahriar Esmaeili, Hassan Ataeian, Neda Maleki Khas, Ali Amiri:
UGRWO-Sampling: A modified random walk under-sampling approach based on graphs to imbalanced data classification. - Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi, Jan Vondrák:
Submodular Maximization Through Barrier Functions. - Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, K. Madhava Krishna:
Multi-object Monocular SLAM for Dynamic Environments. - Suyash C. Vishnoi, Sebastian A. Nugroho, Ahmad F. Taha, Christian G. Claudel, Taposh Banerjee:
Asymmetric Cell Transmission Model-Based, Ramp-Connected Robust Traffic Density Estimation under Bounded Disturbances. - Khalid M. Saqr, Abdelrahman Elsharawy:
A Novel Kuhnian Ontology for Epistemic Classification of STM Scholarly Articles. - Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain:
Understanding and Improving Knowledge Distillation. - (Withdrawn) Laser tracker adaptive tuning.
- Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. - Yongjie Yang:
On the Complexity of Constructive Control under Nearly Single-Peaked Preferences. - Jian Hou, Zhiyong Chen, Zhiyun Lin, Mengfan Xiang:
Resilient Consensus via Weight Learning and Its Application in Fault-Tolerant Clock Synchronization. - Rahul Soni, Naresh Shah, Chua Tat Seng, Jimmy D. Moore:
Adversarial TCAV - Robust and Effective Interpretation of Intermediate Layers in Neural Networks. - Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. - Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith:
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions. - Fuzhen Li, Zhenfeng Zhu, Xingxing Zhang, Jian Cheng, Yao Zhao:
From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition. - Richard Nock, Aditya Krishna Menon:
Supervised Learning: No Loss No Cry. - Akanksha Dwivedi, Anoop Toffy, Athul Suresh, Tarini Chandrashekhar:
Vehicle Driving Assistant. - Didan Deng, Zhaokang Chen, Bertram E. Shi:
FAU, Facial Expressions, Valence and Arousal: A Multi-task Solution. - Jaesung Huh, Egil Martinsson, Adrian Kim, Jung-Woo Ha:
Modeling Musical Onset Probabilities via Neural Distribution Learning. - S. M. Hadi Hosseini, Hao Chen, Monica M. Jablonski:
Automatic detection and counting of retina cell nuclei using deep learning. - Hiromu Miyazaki, Takuto Kanamori, Md. Ashraful Islam, Kenji Kise:
RVCoreP : An optimized RISC-V soft processor of five-stage pipelining. - Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang:
Bilinear Graph Neural Network with Node Interactions. - Junya Miura, Hiromu Miyazaki, Kenji Kise:
A portable and Linux capable RISC-V computer system in Verilog HDL. - Juntae Kim, Yoonhan Lee:
Accelerating RNN Transducer Inference via One-Step Constrained Beam Search. - Jinlu Liu, Yongqiang Qin:
Prototype Refinement Network for Few-Shot Segmentation. - Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng:
Combinatorial Semi-Bandit in the Non-Stationary Environment. - Shiyoh Goetsu, Tetsuya Sakai:
Different Types of Voice User Interface Failures May Cause Different Degrees of Frustration. - Radek Husek, Dusan Knop, Tomás Masarík:
Approximation Algorithms for Steiner Tree Based on Star Contractions: A Unified View. - Che Wang, Keith W. Ross:
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. - Hamid Rahkooy, Thomas Sturm:
First-Order Tests for Toricity. - Hao Wang, Desheng Yang, Nian Duan, Yang Guo, Lu Zhang:
Medusa: Blockchain Powered Log Storage System. - Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization. - Zhuo Ma, Haoran Ge, Zhuzhu Wang, Yang Liu, Ximeng Liu:
Droidetec: Android Malware Detection and Malicious Code Localization through Deep Learning. - M. Pouyan, F. Razavi, M. RashidiNejad:
Performance of Distance Relays in Presence of IPFC. - Chen Lv, Yutong Li, Yang Xing, Chao Huang, Dongpu Cao, Yifan Zhao, Yahui Liu:
Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface. - Odellia Boni, Guy Feigenblat, Doron Cohen, Haggai Roitman, David Konopnicki:
A Study of Human Summaries of Scientific Articles. - Henrique Moniz:
The Istanbul BFT Consensus Algorithm. - Aisha Mohamed, Ghadeer Abuoda, Abdurrahman Ghanem, Zoi Kaoudi, Ashraf Aboulnaga:
RDFFrames: Knowledge Graph Access for Machine Learning Tools. - Florian Schäfer, Jan-Hendrik Menke, Martin Braun:
Comparison of Meta-Heuristics for the Planning of Meshed Power Systems. - Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy:
Novelty Producing Synaptic Plasticity. - Cyrille Chenavier, Clemens Hofstadler, Clemens G. Raab, Georg Regensburger:
Compatible rewriting of noncommutative polynomials for proving operator identities. - Shurun Wang, Wenhan Yang, Shiqi Wang:
End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement. - Yang Song, Chenlin Meng, Renjie Liao, Stefano Ermon:
Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation. - Alessandro Bosso, Ilario Antonio Azzollini, Andrea Tilli:
A Semi-global Hybrid Sensorless Observer for Permanent Magnets Synchronous Machines with Unknown Mechanical Model. - Joseph De Vilmarest, Olivier Wintenberger:
Stochastic Online Optimization using Kalman Recursion. - Indika Kumara, Jun Han, Alan Colman, Willem-Jan van den Heuvel, Damian A. Tamburri:
FM4SN: A Feature-Oriented Approach to Tenant-Driven Customization of Multi-Tenant Service Networks. - Nimisha Ghosh, Sayantan Saha, Rourab Paul:
iDCR: Improved Dempster Combination Rule for Multisensor Fault Diagnosis. - Jongbin Ryu, Jiun Bae, Jongwoo Lim:
Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation. - Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres:
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. - Suhwan Cho, MyeongAh Cho, Tae-Young Chung, Heansung Lee, Sangyoun Lee:
CRVOS: Clue Refining Network for Video Object Segmentation. - Rongjun Cao, Minghua Chen, Michael K. Ng, Yu-Jiang Wu:
Fast and High-order Accuracy Numerical Methods for Time-Dependent Nonlocal Problems in R2. - Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji:
Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples. - Max Mehltretter:
Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning. - Raphaël Berthon, Nathanaël Fijalkow, Emmanuel Filiot, Shibashis Guha, Bastien Maubert, Aniello Murano, Laureline Pinault, Sophie Pinchinat, Sasha Rubin, Olivier Serre:
Alternating Tree Automata with Qualitative Semantics. - Haoyi Fan, Fengbin Zhang, Zuoyong Li:
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks. - Rajarshi Roy, Dana Fisman, Daniel Neider:
Learning Interpretable Models in the Property Specification Language. - Akira Taniguchi, Shota Isobe, Lotfi El Hafi, Yoshinobu Hagiwara, Tadahiro Taniguchi:
Autonomous Planning Based on Spatial Concepts to Tidy Up Home Environments with Service Robots. - Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao:
Towards Mixture Proportion Estimation without Irreducibility. - Athanasios Mazarakis, Paula Bräuer:
First Directions for Using Gamification to Motivate for Open Access. - Longbiao Mao, Yan Yan, Jing-Hao Xue, Hanzi Wang:
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification. - Jens Dörpinghaus, Andreas Stefan:
Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs. - Junhyung Park, Krikamol Muandet:
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings. - Yunan Yang, Alex Townsend, Daniel Appelö:
Anderson Acceleration Using the H-s Norm. - Chihao Zhang, Yang Yang, Wei Zhang, Shihua Zhang:
Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. - Sebastian Farquhar, Lewis Smith, Yarin Gal:
Try Depth Instead of Weight Correlations: Mean-field is a Less Restrictive Assumption for Deeper Networks. - Qiao-Long Huang:
Sparse Polynomial Interpolation Based on Diversification. - Qiao-Long Huang:
Sparse Polynomial Interpolation Based on Derivative. - Bin Han, Siyu Yuan, Zhiyuan Jiang, Yao Zhu, Hans D. Schotten:
Robustness Analysis of Networked Control Systems with Aging Status. - Xiaoheng Zhang, Yongming Li, Pin Wang, Xiaoheng Tan, Yuchuan Liu:
Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection. - Alfonso Baños, Julián Salt, Vicente Casanova:
A QFT approach to robust dual-rate control systems. - Binrui Shen, Qiang Niu, Shengxin Zhu:
Fabricated Pictures Detection with Graph Matching. - Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah, Georg Langs:
Unsupervised deep clustering for predictive texture pattern discovery in medical images. - Ying Huang, Wenwei Zhang, Jinzhuo Wang:
Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing. - Anatole Dahan, Anuj Dawar:
Relativization of Gurevich's Conjectures. - Weixing Huang, Huilong Zhu, Kunpeng Jia, Zhenhua Wu, Xiaogen Yin, Qiang Huo, Yongkui Zhang:
The Investigation of Negative Capacitance Vertical Nanowire FETs Based on SPICE Model at Device-Circuit Level. - Akif Quddus Khan, Salman Khan:
Durocmien: A deep framework for duroc skeleton extraction in constraint environment. - Rateb Jabbar, Mohammed Shinoy, Mohamed Kharbeche, Khalifa Al-Khalifa, Moez Krichen, Kamel Barkaoui:
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application. - Shengquan Wang, Ang Li, Jiying Chen, Baoyu Zheng, Jiaxin Ji, Xianglong Li:
RSnet: An improvement for Darknet. - Subrata Goswami:
Impact of Data Quality on Deep Neural Network Training. - Shanhui Sun, Jing Hu, Mingqing Yao, Jinrong Hu, Xiaodong Yang, Qi Song, Xi Wu:
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning. - David Dehaene, Oriel Frigo, Sébastien Combrexelle, Pierre Eline:
Iterative energy-based projection on a normal data manifold for anomaly localization. - Sayantan Chatterjee, Faheem H. Zunjani, Souvik Sen, Gora Chand Nandi:
Real-Time Object Detection and Recognition on Low-Compute Humanoid Robots using Deep Learning. - Yaozu Ye, Kailun Yang, Kaite Xiang, Juan Wang, Kaiwei Wang:
Universal Semantic Segmentation for Fisheye Urban Driving Images. - Chuanguang Yang, Xiaolong Hu, Zhulin An, Hui Zhu, Yongjun Xu:
Localizing Multi-scale Semantic Patches for Image Classification. - Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang:
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization. - Liang Zhang, Yufei Liu, Hang Xiao, Lu Yang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Peiyi Shen:
Efficient Scene Text Detection with Textual Attention Tower. - Mizanur Rahman, Mhafuzul Islam, Jon C. Calhoun, Mashrur Chowdhury:
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications. - Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. - Ajay Jasra, Kody J. H. Law, Fangyuan Yu:
Unbiased Filtering of a Class of Partially Observed Diffusions. - Hartmut Feld, Bruno Mirbach, Jigyasa Katrolia, Mohamed Selim, Oliver Wasenmüller, Didier Stricker:
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions. - Milad Taleby Ahvanooey, Qianmu Li:
An Overview of Two Age Synthesis and Estimation Techniques. - Yilan Li, Senem Velipasalar:
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles. - Vikram Shree, Wei-Lun Chao, Mark E. Campbell:
An Empirical Study of Person Re-Identification with Attributes. - Andrey Voynov, Artem Babenko:
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. - Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar:
Compositional ADAM: An Adaptive Compositional Solver. - Holger Stephan:
Millions of Perrin pseudoprimes including a few giants. - Shao-Bo Lin:
Distributed Learning with Dependent Samples. - Peter Elbau, Leonidas Mindrinos, Leopold Veselka:
Reconstructing the Optical Parameters of a Layered Medium with Optical Coherence Elastography. - Wenlin Zhuang, Congyi Wang, Siyu Xia, Jinxiang Chai, Yangang Wang:
Music2Dance: Music-driven Dance Generation using WaveNet. - Alejandro Díaz-Caro, Gilles Dowek:
Extensional proofs in a propositional logic modulo isomorphisms. - Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio:
Learning Numerical Observers using Unsupervised Domain Adaptation. - Marthe Bonamy, Michal Pilipczuk, Jean-Sébastien Sereni:
On the effect of symmetry requirement for rendezvous on the complete graph. - Daya Ram Gaur, Muhammad Khan:
Testing Unsatisfiability of Constraint Satisfaction Problems via Tensor Products. - Saumik Dana, Mary F. Wheeler:
An efficient algorithm for numerical homogenization of fluid filled porous solids: part-I. - Julian Niedermeier, Gonçalo Mordido, Christoph Meinel:
Improving the Evaluation of Generative Models with Fuzzy Logic. - Kashif Ahmad, Syed Zohaib Hassan, Nicola Conci, Ala I. Al-Fuqaha:
Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case. - Plamen Angelov, Eduardo A. Soares:
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. - S. Hamidreza Kasaei, Maryam Ghorbani, Jits Schilperoort, Wessel van der Rest:
Investigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition. - Robin Elizabeth Yancey:
Multi-stream Faster RCNN for Mitosis Counting in Breast Cancer Images. - Amin Mazloumian, Matthias Rosenthal, Hans Gelke:
Deep Learning for Classifying Food Waste. - Tobias M. Scheuermann, Paul Kotyczka, Christian Martens, Haithem Louati, Bernhard Maschke, Marie-Line Zanota, Isabelle Pitault:
An Object-Oriented Library for Heat Transfer Modelling and Simulation in Open Cell Foams. - Yingdong Hu, Liang Zhang, Wei Shan, Xiaoxiao Qin, Jing Qi, Zhenzhou Wu, Yang Yuan:
Adversarial Data Encryption. - Mingzhen Li, Yi Liu, Xiaoyan Liu, Qingxiao Sun, Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian:
The Deep Learning Compiler: A Comprehensive Survey. - Hannaneh Barahouei Pasandi, Tamer Nadeem:
Unboxing MAC Protocol Design Optimization Using Deep Learning. - Hannaneh Barahouei Pasandi, Tamer Nadeem:
CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge. - Francisco Carpio, Marta Delgado, Admela Jukan:
Engineering and Experimentally Benchmarking a Container-based Edge Computing System. - Johanna Ärje, Claus Melvad, Mads Rosenhøj Jeppesen, Sigurd Agerskov Madsen, Jenni Raitoharju, Maria Strandgård Rasmussen, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Toke Thomas Høye:
Automatic image-based identification and biomass estimation of invertebrates. - André Brasil Vieira Wyzykowski, Maurício Pamplona Segundo, Rubisley de Paula Lemes:
Level Three Synthetic Fingerprint Generation. - Ariel Futoransky, Carlos Sarraute, Ariel Waissbein, Matias Travizano, Daniel Fernandez:
WibsonTree: Efficiently Preserving Seller's Privacy in a Decentralized Data Marketplace. - Ratikanta Behera, Jajati Keshari Sahoo, Ram N. Mohapatra:
Characterization and Representation of Weighted Core Inverse of Matrices. - Akshay Singh, Sanjeev Saxena:
Edge colouring Game on Trees with maximum degree Δ=4. - Yunhan Huang, Quanyan Zhu:
Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals. - David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn:
Attentive Group Equivariant Convolutional Networks. - Lucas Rodrigues Costa, André C. Drummond:
Dynamic Multi-Modulation Allocation Scheme for Elastic Optical Networks. - Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta:
Adversarial Attacks on Linear Contextual Bandits. - Hussein A. Abbass, Sondoss Elsawah, Eleni Petraki, Robert A. Hunjet:
Machine Education: Designing semantically ordered and ontologically guided modular neural networks. - Christian Pachl, Nils Frank, Jan Breitbart, Stefan Bräse:
Overview of chemical ontologies. - Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee:
Exploiting Temporal Coherence for Multi-modal Video Categorization. - Felipe O. Giuste, Juan Carlos Vizcarra:
CIFAR-10 Image Classification Using Feature Ensembles. - Tobias Brudermueller, Dennis L. Shung, Loren Laine, Adrian J. Stanley, Stig B. Laursen, Harry R. Dalton, Jeffrey Ngu, Michael Schultz, Johannes Stegmaier, Smita Krishnaswamy:
Making Logic Learnable With Neural Networks. - Rohit Zambre, Lars Bergstrom, Laleh Aghababaie Beni, Aparna Chandramowlishwaran:
Parallel Performance-Energy Predictive Modeling of Browsers: Case Study of Servo. - Cristian Bodnar, Catalina Cangea, Pietro Liò:
Deep Graph Mapper: Seeing Graphs through the Neural Lens. - Rita Pucci, Alessio Micheli, Stefano Chessa, Jane Hunter:
Machine learning approaches for identifying prey handling activity in otariid pinnipeds. - Christoph Quirin Lauter, Anastasia Volkova:
A Framework for Semi-Automatic Precision and Accuracy Analysis for Fast and Rigorous Deep Learning. - Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby:
SparseIDS: Learning Packet Sampling with Reinforcement Learning. - Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. - Filipo Sharevski, Paige Treebridge, Peter Jachim, Audrey Li, Adam Babin, Jessica Westbrook:
Beyond Trolling: Malware-Induced Misperception Attacks on Polarized Facebook Discourse. - Jeffrey Bosboom, Charlotte Chen, Lily Chung, Spencer Compton, Michael J. Coulombe, Erik D. Demaine, Martin L. Demaine, Ivan Tadeu Ferreira Antunes Filho, Dylan H. Hendrickson, Adam Hesterberg, Calvin Hsu, William Hu, Oliver Korten, Zhezheng Luo, Lillian Zhang:
Edge Matching with Inequalities, Triangles, Unknown Shape, and Two Players. - Fabian Bolte, Mahsan Nourani, Eric D. Ragan, Stefan Bruckner:
SplitStreams: A Visual Metaphor for Evolving Hierarchies. - Yikun Li, Lambert Schomaker, S. Hamidreza Kasaei:
Learning to Grasp 3D Objects using Deep Residual U-Nets. - Craigory Coppola, Heba Elgazzar:
Novel Machine Learning Algorithms for Centrality and Cliques Detection in Youtube Social Networks. - Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan:
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. - Stephen Hausler, Michael Milford:
Hierarchical Multi-Process Fusion for Visual Place Recognition. - Sam Earle:
Using Fractal Neural Networks to Play SimCity 1 and Conway's Game of Life at Variable Scales. - Mohammad Imran Syed, Renata Teixeira, Sara Ayoubi, Giulio Grassi:
The Challenges of Trace-Driven Wi-Fi Emulation. - Will Shand, Stephen Becker:
Locality-sensitive hashing in function spaces. - Qifei Yu, Zhexin Shen, Yijiang Pang, Rui Liu:
Proficiency Aware Multi-Agent Actor-Critic for Mixed Aerial and Ground Robot Teaming. - Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. - Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick:
A Probabilistic Formulation of Unsupervised Text Style Transfer. - Guangyuan Hu, Zecheng He, Ruby B. Lee:
Smartphone Impostor Detection with Built-in Sensors and Deep Learning. - (Withdrawn) An Intelligent Quaternion SVDCKF AHRS Estimation with Variable Adaptive Methods in Complex Conditions.
- Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li:
6DoF Object Pose Estimation via Differentiable Proxy Voting Loss. - Prithviraj Dasgupta, Joseph B. Collins, Michael McCarrick:
Playing to Learn Better: Repeated Games for Adversarial Learning with Multiple Classifiers. - Diomidis Spinellis, Zoe Kotti, Konstantinos Kravvaritis, Georgios Theodorou, Panos Louridas:
A Dataset of Enterprise-Driven Open Source Software. - Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar:
Pre-training Tasks for Embedding-based Large-scale Retrieval. - Hossam N. Isack, Christian Häne, Cem Keskin, Sofien Bouaziz, Yuri Boykov, Shahram Izadi, Sameh Khamis:
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation. - Rafael Müller, Simon Kornblith, Geoffrey E. Hinton:
Subclass Distillation. - Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao:
Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation. - Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. - Lucia G. Menezo, Valentin Puente, José-Ángel Gregorio:
Rainbow: A Composable Coherence Protocol for Multi-Chip Servers. - Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. - Ashok Cutkosky:
Adaptive Online Learning with Varying Norms. - Mikhail Rubinchik, Arseny M. Shur:
Palindromic k-Factorization in Pure Linear Time. - Aldeida Aleti, Matias Martinez:
E-APR: Mapping the Effectiveness of Automated Program Repair. - Geethu Joseph:
Controllability of a Linear System with Nonnegative Sparse Controls. - Mirco Planamente, Andrea Bottino, Barbara Caputo:
Joint Encoding of Appearance and Motion Features with Self-supervision for First Person Action Recognition. - Martin Simon, Kai Fischer, Stefan Milz, Christian Tobias Witt, Horst-Michael Gross:
StickyPillars: Robust feature matching on point clouds using Graph Neural Networks. - Luiz A. Zanlorensi, Hugo Proença, David Menotti:
Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization. - Jun Liu, Xiangyue Wang, Xue-Cheng Tai:
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation. - Chandrashekar Lakshminarayanan, Amit Vikram Singh:
Deep Gated Networks: A framework to understand training and generalisation in deep learning. - Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli:
Building Implicit Vector Representations of Individual Coding Style. - Ralf R. Müller, Bernhard Gäde, Ali Bereyhi:
Efficient Matrix Multiplication: The Sparse Power-of-2 Factorization. - Xiang Wang, Junliang Lv, Yonghai Li:
New superconvergent structures developed from the finite volume element method in 1D. - Yu Bai, Ben Krause, Huan Wang, Caiming Xiong, Richard Socher:
Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width. - Antonio Bucciarelli, Delia Kesner, Alejandro Ríos, Andrés Viso:
The Bang Calculus Revisited. - Pierre-Étienne Meunier, Damien Regnault, Damien Woods:
The program-size complexity of self-assembled paths. - Maksim Riabinin, Anton Gusev:
Learning@home: Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts. - Yu Bai, Chi Jin:
Provable Self-Play Algorithms for Competitive Reinforcement Learning. - Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda:
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. - Michael Soltys:
Cloudifying the Curriculum with AWS. - Daniel P. Sawyer, Miguel Lázaro-Gredilla, Dileep George:
A Model of Fast Concept Inference with Object-Factorized Cognitive Programs. - Yao Xia:
Upper, Middle and Lower Region Learning for Facial Action Unit Detection. - Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna:
Can graph neural networks count substructures? - Zixiang Chen, Yuan Cao, Quanquan Gu, Tong Zhang:
Mean-Field Analysis of Two-Layer Neural Networks: Non-Asymptotic Rates and Generalization Bounds. - Ashutosh Pandey, DeLiang Wang:
On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement. - Mohammad Reza Mohammadi, Mohammad Rahimzadeh, Abolfazl Attar:
Sperm Detection and Tracking in Phase-Contrast Microscopy Image Sequences using Deep Learning and Modified CSR-DCF. - Hussain Al-Aqrabi, Lu Liu, Richard Hill, Nick Antonopoulos:
A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service. - Zeev Nutov:
2-node-connectivity network design. - Daniel Kifer, Solomon Messing, Aaron Roth, Abhradeep Thakurta, Danfeng Zhang:
Guidelines for Implementing and Auditing Differentially Private Systems. - Tomás Pevný, Marek Dedic:
Nested Multiple Instance Learning in Modelling of HTTP network traffic. - Behnam Asadi, Hui Jiang:
On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks. - Alfredo Torrico, Mohit Singh, Sebastian Pokutta:
On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness. - Navid Naderializadeh:
On the Communication Latency of Wireless Decentralized Learning. - Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger:
Self-Supervised Linear Motion Deblurring. - Prateek Verma, Kenneth Salisbury:
Unsupervised Learning of Audio Perception for Robotics Applications: Learning to Project Data to T-SNE/UMAP space. - Joshua L. Benjamin, Thomas Gerard, Domaniç Lavery, Polina Bayvel, Georgios Zervas:
PULSE: Optical circuit switched Data Center architecture operating at nanosecond timescales. - Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar:
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations. - Mohamed Serry:
Convergent Under-Approximations of Reachable Sets and Tubes for Linear Uncertain Systems. - Ben Shneiderman:
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy. - Subhro Das, Prasanth Lade, Soundar Srinivasan:
Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift. - Rémy Saksik, Alejandro Molina-Villegas, Andréa Carneiro Linhares, Juan-Manuel Torres-Moreno:
Automatic Discourse Segmentation: an evaluation in French. - Ademar Takeo Akabane, Roger Immich, Luiz F. Bittencourt, Edmundo R. M. Madeira, Leandro A. Villas:
Towards a distributed and infrastructure-less vehicular traffic management system. - Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Outlier Guided Optimization of Abdominal Segmentation. - Jonas Skackauskas, Tatiana Kalganova, Ian Dear, Mani Janakram:
Dynamic Impact for Ant Colony Optimization algorithm. - Ata Khalili, Derrick Wing Kwan Ng:
Energy and Spectral Efficiency Tradeoff in OFDMA Networks via Antenna Selection Strategy. - Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi:
Adversarial Filters of Dataset Biases. - Nicolò Botteghi, Beril Sirmaçek, Khaled A. A. Mustafa, Mannes Poel, Stefano Stramigioli:
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach. - Haoyang Cao, Xin Guo, Mathieu Laurière:
Connecting GANs and MFGs. - Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguang Hou:
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. - Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi:
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. - Ahmad AlAmmouri, Jeffrey G. Andrews, François Baccelli:
Area Spectral Efficiency and SINR Scaling Laws in Multi-Antenna Cellular Networks. - Yin Tat Lee, Ruoqi Shen, Kevin Tian:
Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo. - Deval Bhamare, Maede Zolanvari, Aiman Erbad, Raj Jain, Khaled M. Khan, Nader Meskin:
Cybersecurity for Industrial Control Systems: A Survey. - Jacob D. Moorman, Thomas K. Tu, Denali Molitor, Deanna Needell:
Randomized Kaczmarz with Averaging. - Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu:
Q-Learning for Mean-Field Controls. - Zifan Liu, Jongho Park, Nils Palumbo, Theodoros Rekatsinas, Christos Tzamos:
Robust Mean Estimation under Coordinate-level Corruption. - Joseph D. Janizek, Pascal Sturmfels, Su-In Lee:
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks. - Matthew J. Morse, Abtin Rahimian, Denis Zorin:
A robust solver for elliptic PDEs in 3D complex geometries. - Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman:
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting. - Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. - Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Incremental Learning for Metric-Based Meta-Learners. - Tongtao Zhang, Heng Ji, Shih-Fu Chang, Marjorie Freedman:
Training with Streaming Annotation. - Wanming Hao, Gangcan Sun, Jiankang Zhang, Pei Xiao, Lajos Hanzo:
Secure Millimeter Wave Cloud Radio Access Networks Relying on Microwave Multicast Fronthaul. - Wanming Hao, Gangcan Sun, Ming Zeng, Zhengyu Zhu, Bin Jiang, Shouyi Yang:
Joint Beamforming And Power Splitting Design For C-RAN With Multicast Fronthaul. - Wanming Hao, Ming Zeng, Gangcan Sun, Pei Xiao:
Edge Cache-assisted Secure Low-Latency Millimeter Wave Transmission. - Jie Yang, Zhiquan Qi, Yong Shi:
Learning to Incorporate Structure Knowledge for Image Inpainting. - Wanming Hao, Gangcan Sun, Fuhui Zhou, De Mi, Jia Shi, Pei Xiao, Victor C. M. Leung:
Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications with SWIPT. - Sushmita Bhattacharya, Sahil Badyal, Thomas Wheeler, Stephanie Gil, Dimitri P. Bertsekas:
Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems. - Md Umar Hashmi, José Horta, Lucas Pereira, Zachary Lee, Ana Busic, Daniel Kofman:
Towards Phase Balancing using Energy Storage. - Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen:
LoCEC: Local Community-based Edge Classification in Large Online Social Networks. - Mona Jalal, Kate K. Mays, Lei Guo, Margrit Betke:
Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets. - Casey Chu, Kentaro Minami, Kenji Fukumizu:
Smoothness and Stability in GANs. - Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro:
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. - Zhengxin Li:
Exact Indexing of Time Series under Dynamic Time Warping. - Rohit Jammula, Vishnu Rajan Tejus, Shreya Shankar:
Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics. - Md Umar Hashmi, José Horta, Diego Kiedanski, Ana Busic, Daniel Kofman:
Energy storage applications for low voltage consumers in Uruguay. - Zeqian Li, Michael C. Mozer, Jacob Whitehill:
Compositional Embeddings for Multi-Label One-Shot Learning. - Liang Ding, Rui Tuo, Shahin Shahrampour:
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. - Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith:
Generalised Lipschitz Regularisation Equals Distributional Robustness. - Devleena Das, Sonia Chernova:
Leveraging Rationales to Improve Human Task Performance. - Rahul Soni, Naresh Shah, Jimmy D. Moore:
Fine-grained Uncertainty Modeling in Neural Networks. - George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache:
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition. - Yi Han, Shanika Karunasekera, Christopher Leckie:
Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams. - Francisco G. Montoya:
Geometric Algebra Power Theory in sinusoidal and non-sinusoidal systems: Single-phase circuits. - Alperen Kantarci, Hazim Kemal Ekenel:
Thermal to Visible Face Recognition Using Deep Autoencoders. - Abbas Khalili, Shahram Shahsavari, Farhad Shirani Chaharsooghi, Elza Erkip, Yonina C. Eldar:
On Throughput of Millimeter Wave MIMO Systems with Low Resolution ADCs. - Jason Zhi Liang, Santiago Gonzalez, Risto Miikkulainen:
Population-Based Training for Loss Function Optimization. - Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian D. Reid:
Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. - Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Ashwin Maran, N. V. Vinodchandran:
Efficiently Learning and Sampling Interventional Distributions from Observations. - Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning Structured Communication for Multi-agent Reinforcement Learning. - Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano:
A review on outlier/anomaly detection in time series data. - Sidharth Gupta, Parijat Dube, Ashish Verma:
Improving the affordability of robustness training for DNNs. - Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
Hyper-Meta Reinforcement Learning with Sparse Reward. - Boyi Song, Yuntao Peng, Ruijiao Luo, Rui Liu:
Human-to-Robot Attention Transfer for Robot Execution Failure Avoidance Using Stacked Neural Networks. - Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos Augusto M. Vieira, Kevin S. Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Rapid Top-Down Synthesis of Large-Scale IoT Networks. - Qinghong Han, Yuxian Meng, Fei Wu, Jiwei Li:
Non-Autoregressive Neural Dialogue Generation. - Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez:
Learning to Switch Between Machines and Humans. - Catalin Voss, Nick Haber, Peter Washington, Aaron Kline, Beth McCarthy, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, Dennis P. Wall:
Designing a Holistic At-Home Learning Aid for Autism. - Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. - Alicja Gosiewska, Przemyslaw Biecek:
Lifting Interpretability-Performance Trade-off via Automated Feature Engineering. - Ludovic Thomas, Jean-Yves Le Boudec:
On Time Synchronization Issues in Time-Sensitive Networks with Regulators and Nonideal Clocks. - Atena Rezaei, Alexandra Koulouri, Sampsa Pursiainen:
Randomized Multiresolution Scanning in Focal and Fast E/MEG Sensing of Brain Activity with a Variable Depth. - (Withdrawn) Meta-Learning across Meta-Tasks for Few-Shot Learning.
- Adil El Mesaoudi-Paul, Viktor Bengs, Eyke Hüllermeier:
Online Preselection with Context Information under the Plackett-Luce Model. - Tomás Foltýnek, Dita Henek Dlabolová, Alla Anohina-Naumeca, Salim Razi, Július Kravjar, Laima Kamzola, Jean Guerrero-Dib, Özgür Çelik, Debora Weber-Wulff:
Testing of Support Tools for Plagiarism Detection. - Alexis Bès, Christian Choffrut:
Theories of real addition with and without a predicate for integers. - Michael Hinze, Denis Korolev:
Reduced basis methods for quasilinear elliptic PDEs with applications to permanent magnet synchronous motors. - Aloïs Pourchot, Alexis Ducarouge, Olivier Sigaud:
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing. - Nir Shlezinger, Yonina C. Eldar:
Task-Based Quantization with Application to MIMO Receivers. - Yangzi Guo, Yiyuan She, Adrian Barbu:
Training Efficient Network Architecture and Weights via Direct Sparsity Control. - David A. Pelta, José L. Verdegay, María T. Lamata, Carlos Cruz Corona:
Trust dynamics and user attitudes on recommendation errors: preliminary results. - Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb:
A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem. - Philip Arthur, Trevor Cohn, Gholamreza Haffari:
Learning Coupled Policies for Simultaneous Machine Translation. - Baptiste Caramiaux, Jules Françoise, Abby Wanyu Liu, Téo Sanchez, Frédéric Bevilacqua:
Machine Learning Approaches For Motor Learning: A Short Review. - Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu:
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. - Yangzi Guo, Adrian Barbu:
A study of local optima for learning feature interactions using neural networks. - Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng:
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. - Stratis Tsirtsis, Manuel Gomez-Rodriguez:
Decisions, Counterfactual Explanations and Strategic Behavior. - Eren Sezener, Peter Dayan:
Static and Dynamic Values of Computation in MCTS. - Felix L. Opolka, Pietro Liò:
Graph Convolutional Gaussian Processes For Link Prediction. - Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Wang-Chien Lee, Philip S. Yu:
Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping. - Cheng Hong, Zhicong Huang, Wen-jie Lu, Hunter Qu, Li Ma, Morten Dahl, Jason Mancuso:
Privacy-preserving collaborative machine learning on genomic data using TensorFlow. - Wenceslao Arroyo-Machado, Daniel Torres-Salinas, Enrique Herrera-Viedma, Esteban Romero-Frías:
Science through Wikipedia: A novel representation of open knowledge through co-citation networks. - Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Incremental Fast Subclass Discriminant Analysis. - Guangda Chen, Lifan Pan, Yu'an Chen, Pei Xu, Zhiqiang Wang, Peichen Wu, Jianmin Ji, Xiaoping Chen:
Robot Navigation with Map-Based Deep Reinforcement Learning. - Carolin Mehlmann, Thomas Richter:
A goal oriented error estimator and mesh adaptivity for sea ice simulations. - Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg:
Inference-Based Strategy Alignment for General-Sum Differential Games. - Seymanur Akti, Gözde Ayse Tataroglu, Hazim Kemal Ekenel:
Vision-based Fight Detection from Surveillance Cameras. - Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patane, Luca Bortolussi, Guido Sanguinetti:
Robustness of Bayesian Neural Networks to Gradient-Based Attacks. - Jesper Nederlof, Michal Pilipczuk, Céline M. F. Swennenhuis, Karol Wegrzycki:
Hamiltonian Cycle Parameterized by Treedepth in Single Exponential Time and Polynomial Space. - Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Cristian D. Ríos-Urrego, Maria Schuster, Jan Rusz, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages. - Patrick Héas, Cédric Herzet, Benoît Combès:
Generalized Kernel-Based Dynamic Mode Decomposition. - Dominique Beaini, Sofiane Achiche, Alexandre Duperré, Maxime Raison:
Saliency Enhancement using Gradient Domain Edges Merging. - Luca Bonaventura, Elisabetta Carlini, Elisa Calzola, Roberto Ferretti:
Second order fully semi-Lagrangian discretizations of advection-diffusion-reaction systems. - Andreas Orthey, Marc Toussaint:
Visualizing Local Minima in Multi-Robot Motion Planning using Morse Theory. - Nikolai Dokuchaev:
Limited memory predictors with compact explicit representations. - Timm Faulwasser, Kathrin Flaßkamp, Sina Ober-Blöbaum, Karl Worthmann:
A Dissipativity Characterization of Velocity Turnpikes in Optimal Control Problems for Mechanical Systems. - Tyler Crain:
A Simple and Efficient Asynchronous Randomized Binary Byzantine Consensus Algorithm. - Flavio Corradini, Andrea Morichetta, Andrea Polini, Barbara Re, Francesco Tiezzi:
Collaboration vs. choreography conformance in BPMN. - Yuxiang Ren, Jiawei Zhang:
HGAT: Hierarchical Graph Attention Network for Fake News Detection. - Yuren Zhou, Billy Pik Lik Lau, Zann Koh, Chau Yuen, Benny Kai Kiat Ng:
Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining. - Shahinur Alam, Md. Sultan Mahmud, Mohammed Yeasin:
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises. - Dario Zanca, Stefano Melacci, Marco Gori:
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. - Xiaofu Wu, Ben Xie, Shiliang Zhao, Suofei Zhang, Yong Xiao, Ming Li:
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification. - Alessandro Pellegrini:
Reproducibility Report for the Paper: Modeling of Request Cloning in Cloud Server Systems using Processor Sharing. - Lu Bai, Lixin Cui, Edwin R. Hancock:
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. - Ali Choumane:
A new generalization of edge overlap to weighted networks. - Ehsan Meamari, Hao Guo, Chien-Chung Shen, Rui Zhang:
Data User-Based Attribute-Based Encryption. - Hossein Javidnia, François Pitié:
Background Matting. - Ahmad Slo, Sukanya Bhowmik, Albert Flaig, Kurt Rothermel:
pSPICE: Partial Match Shedding for Complex Event Processing. - B. R. Vinay Kumar, Navin Kashyap:
Probabilistic Forwarding of Coded Packets on Networks. - Anna Dai, Sotiris Papatheodorou, Nils Funk, Dimos Tzoumanikas, Stefan Leutenegger:
Fast Frontier-based Information-driven Autonomous Exploration with an MAV. - Jalal Rachad, Ridha Nasri, Laurent Decreusefond:
A 3D Beamforming Scheme Based on The Spatial Distribution of User Locations. - Bing-Yi Jing, Ting Li, Zhongyuan Lyu, Dong Xia:
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition. - Luna M. Zhang:
Pairwise Neural Networks (PairNets) with Low Memory for Fast On-Device Applications. - Jakub Michaliszyn, Jan Otop, Piotr Wieczorek:
Modular Path Queries with Arithmetic. - Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
Feature Importance Estimation with Self-Attention Networks. - Joachim Crevat, Francis Filbet:
Asymptotic preserving schemes for the FitzHugh-Nagumo transport equation with strong local interactions. - Ye Zhang, Bernd Hofmann:
Two new non-negativity preserving iterative regularization methods for ill-posed inverse problems. - Osvaldo Skliar, Sherry Gapper, Ricardo E. Monge:
A One-to-One Correspondence between Natural Numbers and Binary Trees. - Kevin Karsch, Ce Liu, Sing Bing Kang:
Depth Extraction from Video Using Non-parametric Sampling. - Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. - Xavier Caruso, Tristan Vaccon, Thibaut Verron:
Signature-based algorithms for Gr{ö}bner bases over Tate algebras. - Zhengdong Zhang, Shuai Li, Ziyang Wang, Yun Lu:
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images. - Nanna Inie, Jeanette Falk Olesen, Leon Derczynski:
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible. - Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Vertex-reinforced Random Walk for Network Embedding. - Wenbin Hu, Chuanyu Yang, Kai Yuan, Zhibin Li:
Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills. - Lam Dang Pham, Huy Phan, Truc Nguyen, Ramaswamy Palaniappan, Alfred Mertins, Ian McLoughlin:
Robust Acoustic Scene Classification using a Multi-Spectrogram Encoder-Decoder Framework. - Julian Blank, Kalyanmoy Deb:
pymoo: Multi-objective Optimization in Python. - Charles Gunn:
Course notes Geometric Algebra for Computer Graphics, SIGGRAPH 2019. - Sandro Tsang:
An experiment exploring the theoretical and methodological challenges in developing a semi-automated approach to analysis of small-N qualitative data. - Fang Liu, Lu Zhang, Zhi Jin:
Modeling Programs Hierarchically with Stack-Augmented LSTM. - Phillip Hyatt, Zachary Brock, Marc D. Killpack:
A Versatile Multi-Robot Monte Carlo Tree Search Planner for On-Line Coverage Path Planning. - Nathan Kallus, Angela Zhou:
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning. - Otávio Beruski, Ivan Korkischko, Thiago Lopes, Fabio Coral Fonseca:
Progress Report on Numerical Modeling of a Prototype Fuel Cell. - Jiri Vlasak, Michal Sojka, Zdenek Hanzálek:
Accelerated RRT* and its evaluation on Autonomous Parking. - Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra:
Objective Mismatch in Model-based Reinforcement Learning. - William Derigent, Olivier Cardin, Damien Trentesaux:
Industry 4.0: contributions of holonic manufacturing control architectures and future challenges. - Yahya Farah, Daniel Loghin, Alexandra Tzella, Jacques Vanneste:
Diffusion in arrays of obstacles: beyond homogenisation. - Haoqian Zhang, Yancheng Zhao, Abhishek Paryani, Ke Yi:
Infnote: A Decentralized Information Sharing Platform Based on Blockchain. - Leonid Glanz, Patrick Müller, Lars Baumgärtner, Michael Reif, Sven Amann, Pauline Anthonysamy, Mira Mezini:
Hidden in Plain Sight: Obfuscated Strings Threatening Your Privacy. - Marcin Bienkowski, Maciej Pacut, Krzysztof Piecuch:
An Optimal Algorithm for Online Multiple Knapsack. - Steffen Haas, Robin Sommer, Mathias Fischer:
zeek-osquery: Host-Network Correlation for Advanced Monitoring and Intrusion Detection. - Andrew E. Brereton, Stephen MacKinnon, Zhaleh Safikhani, Shawn Reeves, Sana Alwash, Vijay Shahani, Andreas Windemuth:
Predicting drug properties with parameter-free machine learning: Pareto-Optimal Embedded Modeling (POEM). - André Müller, Bertil Schmidt, Andreas Hildebrandt, Richard Membarth, Roland Leißa, Matthis Kruse, Sebastian Hack:
AnySeq: A High Performance Sequence Alignment Library based on Partial Evaluation. - Juan Ochoa-Zambrano, Juan Garbajosa:
Social Internet of Things: Architectural Approaches and Challenges. - Igor Sfiligoi, John Graham, Frank Würthwein:
Characterizing network paths in and out of the clouds. - Paul-Gauthier Noé, Titouan Parcollet, Mohamed Morchid:
CGCNN: Complex Gabor Convolutional Neural Network on raw speech. - Mohamed Mejri, Antoine Richard, Cédric Pradalier:
A Survey On 3D Inner Structure Prediction from its Outer Shape. - Wei Xiao, Calin Belta, Christos G. Cassandras:
Adaptive Control Barrier Functions for Safety-Critical Systems. - Nasim Sharbatdar, Yassine Lamine, Brigitte Milord, Catherine Morency, Jinghui Cheng:
Capturing the Practices, Challenges, and Needs of Transportation Decision-Makers. - Frank Fuhlbrück, Johannes Köbler, Oleg Verbitsky:
Local WL Invariance and Hidden Shades of Regularity. - Zheng Dong, Yan Lu, Guangmo Tong, Yuanchao Shu, Shuai Wang, Weisong Shi:
WatchDog: Real-time Vehicle Tracking on Geo-distributed Edge Nodes. - Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Jörn-Henrik Jacobsen:
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations. - Qingyu Li, Yilei Shi, Xin Huang, Xiao Xiang Zhu:
Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF). - Youngseok Kim, Seyoung Kim, Chun-Chen Yeh, Vijay Narayanan, Jungwook Choi:
Hardware and software co-optimization for the initialization failure of the ReRAM based cross-bar array. - Klaas Pruiksma, Frank Pfenning:
Back to Futures. - Michael Kuehne, Marius Radu:
Constructing a Highlight Classifier with an Attention Based LSTM Neural Network. - Kee Jefferys, Maxim Shishmarev, Simon Harman:
Session: A Model for End-To-End Encrypted Conversations With Minimal Metadata Leakage. - Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass:
Finding novelty with uncertainty. - Hamid R. Safarpour, Amirhossein Fathi, Kevin M. Hubbard, Emmanuel S. Eneyo:
Single supply of electrical energy in the supply distribution model: using GAMS to model the effects of network parameters on the level of consumer demand. - Pardis Emami Naeini, Yuvraj Agarwal, Lorrie Faith Cranor, Hanan Hibshi:
Ask the Experts: What Should Be on an IoT Privacy and Security Label? - Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Günes Baydin:
Differentiating the Black-Box: Optimization with Local Generative Surrogates. - Jonas da Silveira Bohrer, Bruno Iochins Grisci, Márcio Dorn:
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras. - Sebastian Schwarzacher, Bangwei She:
On numerical approximations to fluid-structure interactions involving compressible fluids. - Duc Hung Pham, Krishna V. Palem, M. V. Panduranga Rao:
A polynomial time parallel algorithm for graph isomorphism using a quasipolynomial number of processors. - Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass:
Validating uncertainty in medical image translation. - Raoni Lourenço, Juliana Freire, Dennis E. Shasha:
Debugging Machine Learning Pipelines. - Songtao Feng, Jing Yang:
Information Freshness for Timely Detection of Status Changes. - Jason E. Hicken:
Entropy-stable, high-order summation-by-parts discretizations without interface penalties. - Alessia Antelmi, Gennaro Cordasco, Bogumil Kaminski, Pawel Pralat, Vittorio Scarano, Carmine Spagnuolo, Przemyslaw Szufel:
Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl. - Jun Hou, Tong Qin, Kailiang Wu, Dongbin Xiu:
A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data. - Chris Birmingham, Zijian Hu, Kartik Mahajan, Eli Reber, Maja J. Mataric:
Can I Trust You? A User Study of Robot Mediation of a Support Group. - Yuewei Yang, Kevin J. Liang, Lawrence Carin:
Object Detection as a Positive-Unlabeled Problem. - Dmitrii Beloborodov, Alexander E. Ulanov, Jakob N. Foerster, Shimon Whiteson, A. I. Lvovsky:
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization. - Tzu-Hsiang Lin, Alexander I. Rudnicky, Trung Bui, Doo Soon Kim, Jean Oh:
Adjusting Image Attributes of Localized Regions with Low-level Dialogue. - Marc E. Pfetsch, Sebastian Pokutta:
IPBoost - Non-Convex Boosting via Integer Programming. - Malcolm Gabbard, Carlos Lima, Gamal Mograby, Luke G. Rogers, Alexander Teplyaev:
Discretization of the Koch Snowflake Domain with Boundary and Interior Energies. - Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang:
Learning with Out-of-Distribution Data for Audio Classification. - Miguel F. Arevalo-Castiblanco, C. H. Rodríguez-Garavito, Alvaro A. Patiño-Forero, Jose F. Salazar-Caceres:
Controlador LQR y SMC Aplicado a Plataformas Pendulares. - Guoxi Huang, Adrian G. Bors:
Learning spatio-temporal representations with temporal squeeze pooling. - Paul Norridge:
Think Global, Act Local: Relating DNN generalisation and node-level SNR. - Jeremy Howard, Sylvain Gugger:
fastai: A Layered API for Deep Learning. - Erion Çano, Ondrej Bojar:
Two Huge Title and Keyword Generation Corpora of Research Articles. - Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar:
Invariant Risk Minimization Games. - Pavol Bielik, Martin T. Vechev:
Adversarial Robustness for Code. - Bruno Santos de Lima, Rogério Eduardo Garcia:
Analyzing the Rework Time and Severity of Code Debt: A Case Study Using Technical Debt Catalogs. - Juan Pablo Muñoz, Scott Dexter:
Improving Place Recognition Using Dynamic Object Detection. - Ziyang Wang, Fani Deligianni, Qi Liu, Irina Voiculescu, Guang-Zhong Yang:
A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare. - Katherine Harris, Jonathan D. Hauenstein, Ágnes Szántó:
Smooth Points on Semi-algebraic Sets. - Kwan-Young Kim, Dongwon Park, Kwang In Kim, Se Young Chun:
Task-Aware Variational Adversarial Active Learning. - Rotem Mulayoff, Tomer Michaeli:
Unique Properties of Wide Minima in Deep Networks. - Fred W. Glover, Saïd Hanafi, Gintaras Palubeckis:
Bi-objective Optimization of Biclustering with Binary Data. - Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola:
Improving Molecular Design by Stochastic Iterative Target Augmentation. - John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang:
Superbloom: Bloom filter meets Transformer. - Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi:
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models. - Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit:
Online Learning with Imperfect Hints. - Yung H. Tsin:
A simple certifying algorithm for 3-edge-connectivity. - Brian H. Do, Valory Banashek, Allison M. Okamura:
Dynamically Reconfigurable Discrete Distributed Stiffness for Inflated Beam Robots. - Keen Sung, Brian Neil Levine, Mariya Zheleva:
ZipPhone: Protecting user location privacy from cellular service providers. - Kumar Vijay Mishra, M. Ashok Kumar:
Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative $α$-Entropy. - Megan Charity, Michael Cerny Green, Ahmed Khalifa, Julian Togelius:
Mech-Elites: Illuminating the Mechanic Space of GVGAI. - Sam Ganzfried:
Fast Complete Algorithm for Multiplayer Nash Equilibrium. - Somayeh Nemati, Pedro Miguel Lima, Delfim F. M. Torres:
Numerical solution of a class of third-kind Volterra integral equations using Jacobi wavelets. - Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, Yu Qiao:
Progressive Object Transfer Detection. - Aymeric Fromherz, Klas Leino, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Fast Geometric Projections for Local Robustness Certification. - Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu:
On Layer Normalization in the Transformer Architecture. - Steve Hanneke, Samory Kpotufe:
On the Value of Target Data in Transfer Learning. - Shahin Shahrampour, Ting-Jui Chang:
A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. - Tao Yu, Eugene Bagdasaryan, Vitaly Shmatikov:
Salvaging Federated Learning by Local Adaptation. - Chi Zhang, Yong Sheng Soh, Ling Feng, Tianyi Zhou, Qianxiao Li:
Collaborative Inference for Efficient Remote Monitoring. - Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk:
DeepMutation: A Neural Mutation Tool. - Mohammad Khajenejad, Sze Zheng Yong:
Simultaneous Input and State Interval Observers for Nonlinear Systems with Full-Rank Direct Feedthrough. - Bo Liu:
Understanding Global Loss Landscape of One-hidden-layer ReLU Neural Networks. - Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Capsules with Inverted Dot-Product Attention Routing. - Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Distribution-Agnostic Model-Agnostic Meta-Learning. - Hugh Chen, Scott M. Lundberg, Gabriel G. Erion, Jerry H. Kim, Su-In Lee:
Deep Transfer Learning for Physiological Signals. - Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. - Manuel Lafond, Binhai Zhu, Peng Zou:
Genomic Problems Involving Copy Number Profiles: Complexity and Algorithms. - Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
MFFW: A new dataset for multi-focus image fusion. - Tianyi Lin, Nhat Ho, Xi Chen, Marco Cuturi, Michael I. Jordan:
Revisiting Fixed Support Wasserstein Barycenter: Computational Hardness and Efficient Algorithms. - Xiao Zang, Yi Xie, Jie Chen, Bo Yuan:
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models. - Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
To Split or Not to Split: The Impact of Disparate Treatment in Classification. - Xin-Long Luo, Jia-hui Lv, Geng Sun:
A Visual-inertial Navigation Method for High-Speed Unmanned Aerial Vehicles. - Sicong Liang, Yu Zhang:
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning. - Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. - Achin Jain, Manfred Morari:
Computing the racing line using Bayesian optimization. - Yi Zhang, Yu Zhang, Wei Wang:
Deep Multi-Task Learning via Generalized Tensor Trace Norm. - Sebastian Raschka, Joshua Patterson, Corey Nolet:
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence. - Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt:
Topologically Densified Distributions. - Eric Polizzi:
FEAST Eigenvalue Solver v4.0 User Guide. - Shansuo Liang, Chulong Liang, Junjie Ma, Li Ping:
Compressed Coding, AMP Based Decoding and Analog Spatial Coupling. - Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. - Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang:
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network. - Youwei Song, Jiahai Wang, Zhiwei Liang, Zhiyue Liu, Tao Jiang:
Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference. - Weiwei Sun, Chengda Wu:
New analysis of Galerkin-mixed FEMs for incompressible miscible flow in porous media. - Mohammad Sabokrou, Masoud PourReza, Xiaobai Li, Mahmood Fathy, Guoying Zhao:
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions. - Alessandro Antonucci, Thomas Tiotto:
Approximate MMAP by Marginal Search. - Ian N. Zwaan:
Towards a more robust algorithm for computing the restricted singular value decomposition. - Cong Geng, Jia Wang, Li Chen, Wenbo Bao, Chu Chu, Zhiyong Gao:
Uniform Interpolation Constrained Geodesic Learning on Data Manifold. - Arun Jambulapati, Yin Tat Lee, Jerry Li, Swati Padmanabhan, Kevin Tian:
Positive Semidefinite Programming: Mixed, Parallel, and Width-Independent. - Zi Yin, Valentin Yiu, Xiaolin Hu, Liang Tang:
End-to-End Face Parsing via Interlinked Convolutional Neural Networks. - Hong Jun Jeon, Smitha Milli, Anca D. Dragan:
Reward-rational (implicit) choice: A unifying formalism for reward learning. - Leila Rashidi, Don Towsley, Arman Mohseni-Kabir, Ali Movaghar:
On the Performance Analysis of Epidemic Routing in Non-Sparse Delay Tolerant Networks. - (Withdrawn) Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma.
- Ziyin Liu, Zhikang Wang, Masahito Ueda:
LaProp: a Better Way to Combine Momentum with Adaptive Gradient. - Chicheng Zhang, Jie Shen, Pranjal Awasthi:
Efficient active learning of sparse halfspaces with arbitrary bounded noise. - Uli Schlachter, Harro Wimmel:
Optimal Label Splitting for Embedding an LTS into an arbitrary Petri Net Reachability Graph is NP-complete. - Federico Mason, Federico Chiariotti, Martina Capuzzo, Davide Magrin, Andrea Zanella, Michele Zorzi:
Combining LoRaWAN and a New 3D Motion Model for Remote UAV Tracking. - Luca E. Schäfer, Tobias Dietz, Maria Barbati, José Rui Figueira, Salvatore Greco, Stefan Ruzika:
The {0, 1}-knapsack problem with qualitative levels. - Jianhui Liu, Qi Zhang:
Computation Resource Allocation for Heterogeneous Time-Critical IoT Services in MEC. - Cliff Laschet, Jorn op den Buijs, Mark H. M. Winands, Steffen Pauws:
Service Selection using Predictive Models and Monte-Carlo Tree Search. - Jianhui Liu, Qi Zhang:
Adaptive Task Partitioning at Local Device or Remote Edge Server for Offloading in MEC. - Qiheng Zhou, Minxian Xu, Sukhpal Singh Gill, Chengxi Gao, Wenhong Tian, Cheng-Zhong Xu, Rajkumar Buyya:
Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations. - André Artelt, Barbara Hammer:
Convex Density Constraints for Computing Plausible Counterfactual Explanations. - Santi Martínez, Francesc Sebé, Christoph Sorge:
Measuring privacy in smart metering anonymized data. - Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding:
Bi-Directional Generation for Unsupervised Domain Adaptation. - Mayank Goswami, Riko Jacob, Rasmus Pagh:
On the I/O complexity of the k-nearest neighbor problem. - Santeri Lampinen, Janne Koivumäki, Wen-Hong Zhu, Jouni Mattila:
Force-Sensor-Less Bilateral Teleoperation Control of Dissimilar Master-Slave System with Arbitrary Scaling. - Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt:
Learning Flat Latent Manifolds with VAEs. - Nedra Benletaief, Houria Rezig, Ammar Bouallegue:
Toward Efficient Quantum Key Distribution Reconciliation. - Li You, Jiayuan Xiong, Xinping Yi, Jue Wang, Wenjin Wang, Xiqi Gao:
Energy Efficiency Optimization for Downlink Massive MIMO With Statistical CSIT. - Jonathan Bull, Stefan Engblom:
Distributed and Adaptive Fast Multipole Method In Three Dimensions. - Núria Bautista-Puig, Ana Marta Aleixo, Susana Leal, Ulisses Azeiteiro, Rodrigo Costas:
Unveiling the research landscape of Sustainable Development Goals and their inclusion in Higher Education Institutions and Research Centers: major trends in 2000-2017. - Vivek Gavane, Supriya Prabhugawankar, Shivam Garg, Archana Achalere, Rajendra Joshi:
CROFT: A scalable three-dimensional parallel Fast Fourier Transform (FFT) implementation for High Performance Clusters. - Yitao Han, Liang Liu, Lingjie Duan, Rui Zhang:
Towards Reliable UAV Swarm Communication in D2D-Enhanced Cellular Network. - Roberto Doriguzzi Corin, Stuart Millar, Sandra Scott-Hayward, Jesús Martínez del Rincón, Domenico Siracusa:
LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection. - Pantazis Deligiannis, Narayanan Ganapathy, Akash Lal, Shaz Qadeer:
Building Reliable Cloud Services Using P# (Experience Report). - Haozhe Liu, Wentian Zhang, Guojie Liu, Feng Liu:
A Zero-Shot based Fingerprint Presentation Attack Detection System. - Johannes A. Stork, Todor Stoyanov:
Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. - Sihem Mesnager, Kwang Ho Kim, Jong Hyok Choe, Dok Nam Lee:
Solving Some Affine Equations over Finite Fields. - Nevena Jakovcevic Stor, Ivan Slapnicar, Zoran Tomljanovic:
Fast computation of optimal damping parameters for linear vibrational systems. - Jiahao Lin, Hai Zhu, Javier Alonso-Mora:
Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments. - Mattias Nilsson, Foteini Liwicki, Fredrik Sandin:
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. - Dylan J. Foster, Alexander Rakhlin:
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles. - Shanzhi Chen, Ying-Chang Liang, Shaohui Sun, Shaoli Kang, Wenchi Cheng, Mugen Peng:
Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed. - Shuai Wang, Tsung-Hui Chang:
Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing. - Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua:
Towards Precise Intra-camera Supervised Person Re-identification. - Wei Shi, Siyuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu:
Joint Embedding in Named Entity Linking on Sentence Level. - Brad Saund, Dmitry Berenson:
Fast Planning Over Roadmaps via Selective Densification. - Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed:
Learning Graph Influence from Social Interactions. - Philip L. Lederer, Sander Rhebergen:
A pressure-robust embedded discontinuous Galerkin method for the Stokes problem by reconstruction operators. - Katja Bercic, Jacques Carette, William M. Farmer, Michael Kohlhase, Dennis Müller, Florian Rabe, Yasmine Sharoda:
The Space of Mathematical Software Systems - A Survey of Paradigmatic Systems. - Shuo Yuan, Jiaxing Wang, Mugen Peng:
Performance Analysis of Reversible Binding Receptor Based Decode-and-Forward Relay in Molecular Communication Systems. - Xiaoqiang Yue, Shulei Zhang, Xiaowen Xu, Shi Shu, Weidong Shi:
Algebraic multigrid block preconditioning for multi-group radiation diffusion equations. - Emil Björnson, Luca Sanguinetti:
Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces. - Sergio Zapata, José Luís Barros Justo, Gerardo Maturro, Samuel Sepúlveda:
Measurement of Interpersonal Trust in Global Software Development: SLR Protocol. - Mario Szegedy, Jingjin Yu:
On Rearrangement of Items Stored in Stacks. - Travis Gesslein, Jens Grubert:
C-D Ratio in multi-display environments. - Yash Patel, Srikar Appalaraju, R. Manmatha:
Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss. - Shrey Dabhi, Manojkumar Parmar:
Eigenvector Component Calculation Speedup over NumPy for High Performance Computing. - Maria Heinze, Lars Hausfeld, Rainer Goebel, Frieder Stolzenburg:
Periodicity Pitch Detection in Complex Harmonies on EEG Timeline Data. - Pranav Ashok, Mathias Jackermeier, Pushpak Jagtap, Jan Kretínský, Maximilian Weininger, Majid Zamani:
dtControl: Decision Tree Learning Algorithms for Controller Representation. - Anthony Cioppa, Marc Van Droogenbroeck, Marc Braham:
Real-Time Semantic Background Subtraction. - Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma:
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. - Anees Kazi, Luca Cosmo, Nassir Navab, Michael M. Bronstein:
Differentiable Graph Module (DGM) Graph Convolutional Networks. - Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis. - Heiko Hoffmann, Anne Wald:
On parameter identification problems for elliptic boundary value problems in divergence form, Part I: An abstract framework. - Xavier Ouvrard:
Hypergraphs: an introduction and review. - Fabrizio Bottarel, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale:
GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArk. - Javad Moshfegh, Marinos N. Vouvakis:
Direct Domain Decomposition Method (D3M) for Finite Element Electromagnetic Computations. - Javad Moshfegh, Marinos N. Vouvakis:
Direct Solution of FEM Models: Are Sparse Direct Solvers the Best Strategy? - Mirko Myllykoski, Carl Christian Kjelgaard Mikkelsen:
Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems. - Javad Moshfegh, Dimitrios G. Makris, Marinos N. Vouvakis:
Parallel Direct Domain Decomposition Methods (D3M) for Finite Elements. - Tomás Völker, Guillaume Boisson, Bertrand Chupeau:
Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task. - Yijie Han:
Uniform Linked Lists Contraction. - Pengcheng An, Saskia Bakker, Sara Ordanovski, Chris L. E. Paffen, Ruurd Taconis, Berry Eggen:
Dandelion Diagram: Aggregating Positioning and Orientation Data in the Visualization of Classroom Proxemics. - Youssouf Drif, Emmanuel Chaput, Emmanuel Lavinal, Pascal Berthou, Boris Tiomela Jou, Olivier Gremillet, Fabrice Arnal:
An Extensible Network Slicing Framework for Satellite Integration into 5G. - Jia Qian, Xenofon Fafoutis, Lars Kai Hansen:
Towards Federated Learning: Robustness Analytics to Data Heterogeneity. - Xiangping Zhu, Xiatian Zhu, Minxian Li, Pietro Morerio, Vittorio Murino, Shaogang Gong:
Intra-Camera Supervised Person Re-Identification. - Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl:
Detect and Correct Bias in Multi-Site Neuroimaging Datasets. - Felix Strehle, Martin Pfeifer, Albertus Johannes Malan, Stefan Krebs, Sören Hohmann:
A Scalable Port-Hamiltonian Approach to Plug-and-Play Voltage Stabilization in DC Microgrids. - Simone Raponi, Savio Sciancalepore, Gabriele Oligeri, Roberto Di Pietro:
Fridges on the Highway: Road Traffic Poisoning of Navigation Apps. - Felix Strehle, Albertus Johannes Malan, Stefan Krebs, Sören Hohmann:
Passivity Conditions for Plug-and-Play Operation of Nonlinear Static AC Loads. - Wangchunshu Zhou, Ke Xu:
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. - Jan Rosenzweig, Zoran Cvetkovic, Ivana Rosenzweig:
Goldilocks Neural Networks. - Muhammad Hassan Tanveer, Antony Thomas, Xiaowei Wu, Rolf Müller, Pratap Tokekar, Hongxiao Zhu:
Recreating Bat Behavior on Quad-rotor UAVs-A Simulation Approach. - Francesca Mangili, Denis Broggini, Alessandro Antonucci, Marco Alberti, Lorenzo Cimasoni:
A Bayesian Approach to Conversational Recommendation Systems. - Andrei Mantsivoda, Denis K. Ponomaryov:
On Termination of Transactions over Semantic Document Models. - Chuhua Xian, Dongjiu Zhang, Chengkai Dai, Charlie C. L. Wang:
Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution. - Tomohiro Koana, Vincent Froese, Rolf Niedermeier:
Complexity of Combinatorial Matrix Completion With Diameter Constraints. - Jianren Wang, Zhaoyuan Fang, Hang Zhao:
AlignNet: A Unifying Approach to Audio-Visual Alignment. - Subhra Mazumdar, Sushmita Ruj, Ram Govind Singh, Arindam Pal:
HushRelay: A Privacy-Preserving, Efficient, and Scalable Routing Algorithm for Off-Chain Payments. - Daniel Hausmann, Lutz Schröder:
NP Reasoning in the Monotone $μ$-Calculus. - Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner:
Efficient Structure-preserving Support Tensor Train Machine. - Merlin Carl:
Using Automated Theorem Provers for Mistake Diagnosis in the Didactics of Mathematics. - James Pavur, Martin Strohmeier, Vincent Lenders, Ivan Martinovic:
QPEP: A QUIC-Based Approach to Encrypted Performance Enhancing Proxies for High-Latency Satellite Broadband. - Waqas Aman, Zeeshan Haider, Syed Waqas Haider Shah, Muhammad Mahboob Ur Rahman, Octavia A. Dobre:
On the Effective Capacity of an Underwater Acoustic Channel under Impersonation Attack. - Vincent Schellekens, Laurent Jacques:
Compressive Learning of Generative Networks. - Benny Fuhry, Jayanth Jain H. A, Florian Kerschbaum:
EncDBDB: Searchable Encrypted, Fast, Compressed, In-Memory Database using Enclaves. - Prosenjit Bose, Saeed Mehrabi, Debajyoti Mondal:
Parameterized Complexity of Two-Interval Pattern Problem. - (Withdrawn) Fundamental Limits of Biometric Identification Systems with Strong Secrecy.
- Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros:
Component Analysis for Visual Question Answering Architectures. - Steven J. Frank, Andrea M. Frank:
Rembrandts and Robots: Using Neural Networks to Explore Authorship in Painting. - Xiao Yun Xu, Xuan-Lun Huang, Zhan-Ming Li, Jun Gao, Zhi-Qiang Jiao, Yao Wang, Ruo-Jing Ren, H. P. Zhang, Xian-Min Jin:
A Scalable Photonic Computer Solving the Subset Sum Problem. - Hunter Johnston, Carl Leake, Daniele Mortari:
Least-squares Solutions of Eighth-order Boundary Value Problems using the Theory of Functional Connections. - Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn:
EFX Exists for Three Agents. - Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio:
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. - Daniel Bertschinger, Johannes Lengler, Anders Martinsson, Robert Meier, Angelika Steger, Milos Trujic, Emo Welzl:
An Optimal Decentralized $(Δ+ 1)$-Coloring Algorithm. - Itay Naeh, Roi Pony, Shie Mannor:
Patternless Adversarial Attacks on Video Recognition Networks. - Ian Low, William J. Buchanan, Richard J. Macfarlane, Owen Lo:
Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction. - Umut A. Acar, Daniel Anderson, Guy E. Blelloch, Laxman Dhulipala, Sam Westrick:
Batch-dynamic Algorithms via Parallel Change Propagation and Applications to Dynamic Trees. - Erik D. Demaine, Justin Kopinsky, Jayson Lynch:
Recursed is not Recursive: A Jarring Result. - Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning. - Shuang Liu, Hao Su:
Regret Bounds for Discounted MDPs. - Ainesh Bakshi, Pravesh Kothari:
List-Decodable Subspace Recovery via Sum-of-Squares. - Anastasios Tsiamis, George J. Pappas:
Online Learning of the Kalman Filter with Logarithmic Regret. - Zhentian Qian, Jie Fu, Quanyan Zhu:
A Receding-Horizon MDP Approach for Performance Evaluation of Moving Target Defense in Networks. - Kyle Tilbury, Jesse Hoey:
Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation. - Daniel C. Elton:
Self-explainability as an alternative to interpretability for judging the trustworthiness of artificial intelligences. - Mohamed Seif, Ravi Tandon, Ming Li:
Wireless Federated Learning with Local Differential Privacy. - Nima Hamidi, Mohsen Bayati:
A General Framework to Analyze Stochastic Linear Bandit. - Andrew Bennett, Nathan Kallus:
Efficient Policy Learning from Surrogate-Loss Classification Reductions. - Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian:
Learnable Bernoulli Dropout for Bayesian Deep Learning. - Matteo Castiglioni, Andrea Celli, Nicola Gatti:
Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive. - Mustafa Hajij, Elizabeth Munch, Paul Rosen:
Graph Similarity Using PageRank and Persistent Homology. - Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos:
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. - Georges Nassif, Catherine Gloaguen, Philippe Martins:
A Combined Stochastic and Physical Framework for Modeling Indoor 5G Millimeter Wave Propagation. - Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
The empirical duality gap of constrained statistical learning. - Umberto Gostoli, Eric Silverman:
Social and Child Care Provision in Kinship Networks: an Agent-Based Model. - Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Intrinsic Motivation for Encouraging Synergistic Behavior. - Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry. - Momin M. Malik:
A Hierarchy of Limitations in Machine Learning. - Oberon Berlage, Klaus-Michael Lux, David Graus:
Improving automated segmentation of radio shows with audio embeddings. - Jasper De Bock:
Archimedean Choice Functions: an Axiomatic Foundation for Imprecise Decision Making. - Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles:
Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise. - Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Deep compositional robotic planners that follow natural language commands. - Noam Shazeer:
GLU Variants Improve Transformer. - Yaroslav Golubev, Viktor Poletansky, Nikita Povarov, Timofey Bryksin:
Multi-Objective Optimization for Token-Based Clone Detection. - Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid, Asif J. Chowdhury:
Explainable Deep Modeling of Tabular Data using TableGraphNet. - Miguel F. Arevalo-Castiblanco, Duvan Tellez-Castro, Jorge I. Sofrony, Eduardo Mojica-Nava:
Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty. - Sergei Volodin, Nevan Wichers, Jeremy Nixon:
Resolving Spurious Correlations in Causal Models of Environments via Interventions. - Dimitris Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg:
Variational Autoencoders with Riemannian Brownian Motion Priors. - Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed H. Chi:
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing. - Kilian Becher, Thorsten Strufe:
Efficient Cloud-based Secret Shuffling via Homomorphic Encryption. - Emanuele Pesce, Giovanni Montana:
Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs. - David Lowry-Duda:
Visualizing modular forms. - Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz:
Image-to-Image Translation with Text Guidance. - Yaroslav Golubev, Maria Eliseeva, Nikita Povarov, Timofey Bryksin:
A Study of Potential Code Borrowing and License Violations in Java Projects on GitHub. - Georg Gottlob, Matthias Lanzinger, Reinhard Pichler, Igor Razgon:
Complexity Analysis of General and Fractional Hypertree Decompositions. - Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti:
The Multiplayer Colonel Blotto Game. - Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke:
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. - Xiaohui Bei, Shengxin Liu, Xinhang Lu, Hongao Wang:
Maximin Fairness with Mixed Divisible and Indivisible Goods. - Shuhao Tan:
Computing Shapley Values for Mean Width in 3-D. - Mario Alvarez-Picallo:
Change actions: from incremental computation to discrete derivatives. - Fatemeh Salehi Rizi, Jörg Schlötterer, Michael Granitzer:
Shortest path distance approximation using deep learning techniques. - Philip Bontrager, Julian Togelius:
Fully Differentiable Procedural Content Generation through Generative Playing Networks. - Julius Ceasar Aguma, Amelia C. Regan:
A Matching Mechanism with Anticipatory Tolls for Congestion Pricing. - Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, Min Chen:
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models. - Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides:
Solving Missing-Annotation Object Detection with Background Recalibration Loss. - Shi Chen, Qin Li, Xu Yang:
Semi-classical limit for the varying-mass Schrödinger equation with random inhomogeneities. - Min Chen, Mateu Sbert, Alfie Abdul-Rahman, Deborah Silver:
A Bounded Measure for Estimating the Benefit of Visualization. - Xiangning Chen, Cho-Jui Hsieh:
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization. - Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. - Mohammad Saeed Abrishami, Massoud Pedram, Shahin Nazarian:
CSM-NN: Current Source Model Based Logic Circuit Simulation - A Neural Network Approach. - Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra:
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization. - José Everardo Bessa Maia, Levi P. Figueredo:
Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions. - Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen:
Exploiting the Matching Information in the Support Set for Few Shot Event Classification. - Flavia Pisani, Fabíola Martins Campos de Oliveira, Eduardo S. Gama, Roger Immich, Luiz F. Bittencourt, Edson Borin:
Fog Computing on Constrained Devices: Paving the Way for the Future IoT. - Wanze Xie, Yining Liang, Janet G. Johnson, Andrea Mower, Samuel Burns, Colleen Chelini, Paul D. Alessandro, Nadir Weibel, Jürgen P. Schulze:
Interactive Multi-User 3D Visual Analytics in Augmented Reality. - Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang:
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. - Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Beyond No-Regret: Competitive Control via Online Optimization with Memory. - Shaojie Tang:
Assortment Optimization with Repeated Exposures and Product-dependent Patience Cost. - Wei Leng, Lili Ju:
A diagonal sweeping domain decomposition method with source transfer for the Helmholtz equation. - Rebal Jurdi, Jeffrey G. Andrews, Robert W. Heath Jr.:
Scheduling Observers Over a Shared Channel with Hard Delivery Deadlines. - Changtao Sheng, Suna Ma, Huiyuan Li, Li-Lian Wang, Lueling Jia:
Generalised Hermite functions and their applications in Spectral Approximations. - Tatsuaki Kimura, Masaki Ogura:
Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage. - Ruoxi Sun, Minhui Xue:
Quality Assessment of Online Automated Privacy Policy Generators: An Empirical Study. - Jawad Ahmad, Hamza Sami Ullah, Samia Aslam:
Understanding the Impact of Customer Reviews on Hotel Rating: An Empirical Research. - Roy Dong, Erik Miehling, Cedric Langbort:
Protecting Consumers Against Personalized Pricing: A Stopping Time Approach. - Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Continual Universal Object Detection. - Zifan Yu, Suya You:
Object Detection on Single Monocular Images through Canonical Correlation Analysis. - Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang:
Hypergraph Optimization for Multi-structural Geometric Model Fitting. - Samuel Horváth, Lihua Lei, Peter Richtárik, Michael I. Jordan:
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization. - Taejong Joo, Donggu Kang, Byunghoon Kim:
Regularizing activations in neural networks via distribution matching with the Wasserstein metric. - Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad:
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription. - Yuheng Huang, Haoyu Wang, Lei Wu, Gareth Tyson, Xiapu Luo, Run Zhang, Xuanzhe Liu, Gang Huang, Xuxian Jiang:
Characterizing EOSIO Blockchain. - Ran Xin, Soummya Kar, Usman A. Khan:
Gradient tracking and variance reduction for decentralized optimization and machine learning. - John Augustine, Keerti Choudhary, Avi Cohen, David Peleg, Sumathi Sivasubramaniam, Suman Sourav:
Distributed Graph Realizations. - Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen, Ariel Todoki:
High Performance Logistic Regression for Privacy-Preserving Genome Analysis. - Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, N. V. Vinodchandran:
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning. - Ian S. Fischer:
The Conditional Entropy Bottleneck. - Ian Fischer, Alexander A. Alemi:
CEB Improves Model Robustness. - Lélia Blin, Anaïs Durand, Sébastien Tixeuil:
Ressource Efficient Stabilization for Local Tasks despite Unknown Capacity Links. - Taro Kiritani, Koji Ono:
Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks. - Nadav Merlis, Shie Mannor:
Tight Lower Bounds for Combinatorial Multi-Armed Bandits. - Mike Kosek, Leo Blöcher, Jan Rüth, Torsten Zimmermann, Oliver Hohlfeld:
MUST, SHOULD, DON'T CARE: TCP Conformance in the Wild. - Jan Jakubuv, Karel Chvalovský, Miroslav Olsák, Bartosz Piotrowski, Martin Suda, Josef Urban:
ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description). - Funan Mu, Zhenting Yu, Lifeng Wang, Yequan Wang, Qingyu Yin, Yibo Sun, Liqun Liu, Teng Ma, Jing Tang, Xing Zhou:
Keyphrase Extraction with Span-based Feature Representations. - Jun-Xing Chin, Kyri Baker, Gabriela Hug:
Consumer Privacy Protection using Flexible Thermal Loads. - David Baum, Pascal Kovacs, Ulrich W. Eisenecker, Richard Müller:
A User-centered Approach for Optimizing Information Visualizations. - Willy Carlos Tchuitcheu, Christophe Bobda, Md Jubaer Hossain Pantho:
Internet of Smart-Cameras for Traffic Lights Optimization in Smart Cities. - Cristian D. Ríos-Urrego, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Elmar Nöth, Francisco Lopera, Juan Rafael Orozco-Arroyave:
Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features. - Sándor Kisfaludi-Bak:
A quasi-polynomial algorithm for well-spaced hyperbolic TSP. - Gökhan Güler, A. Cüneyd Tantug:
Comparison of Turkish Word Representations Trained on Different Morphological Forms. - Ryan E. Dougherty:
Genetic Algorithms for Redundancy in Interaction Testing. - Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz, Vincent Holstein, Jan Ernsting, Jakob Steenweg, Julian Gebker, Kelvin Sarink, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn:
PHOTON - A Python API for Rapid Machine Learning Model Development. - Ramona Leenings, Nils Ralf Winter, Kelvin Sarink, Jan Ernsting, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn:
The PHOTON Wizard - Towards Educational Machine Learning Code Generators. - Triet Huynh Minh Le, Hao Chen, Muhammad Ali Babar:
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges. - Hanyu Liu, Jiabei Zeng, Shiguang Shan, Xilin Chen:
Emotion Recognition for In-the-wild Videos. - Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Functional Failure Rate Due to Single-Event Transients in Clock Distribution Networks. - Francisco G. Montoya, Javier Roldán-Pérez, Alfredo Alcayde, Francisco Manuel Arrabal-Campos, Raul Baños:
Geometric Algebra Power Theory in Time Domain. - Yasin Almalioglu, Abdulkadir Gokce, Kagan Incetan, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan:
EndoL2H: Deep Super-Resolution for Capsule Endoscopy. - Gert de Cooman:
Coherent and Archimedean choice in general Banach spaces. - Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan:
Identifying Audio Adversarial Examples via Anomalous Pattern Detection. - Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu:
Metric-Free Individual Fairness in Online Learning. - Chien-Chung Huang, Naonori Kakimura, Simon Mauras, Yuichi Yoshida:
Approximability of Monotone Submodular Function Maximization under Cardinality and Matroid Constraints in the Streaming Model. - Hong Wu, Jiahai Wang, Zizhen Zhang:
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization. - Xinran Zhang, Mugen Peng, Shi Yan, Yaohua Sun:
Deep Reinforcement Learning Based Mode Selection and Resource Allocation for Cellular V2X Communications. - Yan Li, Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Guanghua Yang, Minghua Xia:
Air-to-Air Communications Beyond 5G: A Novel 3D CoMP Transmission Scheme. - Aritra Banik, Bhaswar B. Bhattacharya, Sujoy Bhore, Leonardo Martínez-Sandoval:
Geometric Systems of Unbiased Representatives. - Fabricio A. Breve, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau:
Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection. - Marco De Nadai, Bruno Lepri, Nuria Oliver:
Understanding individual behaviour: from virtual to physical patterns. - Yangang Ren, Jingliang Duan, Yang Guan, Shengbo Eben Li:
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. - Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Dongmin Shin, Seewoo Lee, Youngmin Cha, Byungsoo Kim, Jaewe Heo:
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems. - Alessio Pagani, Zhuangkun Wei, Ricardo Silva, Weisi Guo:
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics. - Andrey Ignatov, Luc Van Gool, Radu Timofte:
Replacing Mobile Camera ISP with a Single Deep Learning Model. - Mahdi Takalloo, Changhyun Kwon:
Sensitivity of Wardrop Equilibria: Revisited. - Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim:
Deep Autotuner: a Pitch Correcting Network for Singing Performances. - Yuanbo Xiangli, Yubin Deng, Bo Dai, Chen Change Loy, Dahua Lin:
Real or Not Real, that is the Question. - Ke Zhang, Meng Li, Zhengchao Zhang, Xi Lin, Fang He:
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach. - Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott:
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems. - Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Mansawala, Shulin Yang, Bradley C. Turnbull, Junshuo Liao:
Improving Deep Learning For Airbnb Search. - Filip Hanzely, Peter Richtárik:
Federated Learning of a Mixture of Global and Local Models. - Keith Dillon:
Feature-level Malware Obfuscation in Deep Learning. - Kavosh Asadi, David Abel, Michael Littman:
Learning State Abstractions for Transfer in Continuous Control. - Yixuan Qiu, Xiao Wang:
Stochastic Approximate Gradient Descent via the Langevin Algorithm. - Mu Yuan, Lan Zhang, Xiang-Yang Li, Hui Xiong:
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling. - Bárbara Ribeiro da Silva, Fabricio Aparecido Breve:
Segmentação de imagens utilizando competição e cooperação entre partículas. - Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier:
BRPO: Batch Residual Policy Optimization. - Byungik Ahn:
Near-Optimal Hardware Design for Convolutional Neural Networks. - Sridhama Prakhya, Deepak P:
Unsupervised Separation of Native and Loanwords for Malayalam and Telugu. - Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
Modelling Fog Offloading Performance. - Yunlu Wang, Menghan Hu, Qingli Li, Xiao-Ping Zhang, Guangtao Zhai, Nan Yao:
Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner. - Jakkepalli Pavan Kumar, P. Venkata Subba Reddy:
Algorithmic Complexity of Isolate Secure Domination in Graphs. - Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier:
SpotNet: Self-Attention Multi-Task Network for Object Detection. - Mohammad Hossein Ahmadi, Alireza Baghban, Milad Sadeghzadeh, Mohammad Zamen, Amir Mosavi, Shahaboddin Shamshirband, Ravinder Kumar, Mohammad Mohammadi-Khanaposhtani:
Evaluation of electrical efficiency of photovoltaic thermal solar collector. - Pedro H. C. Avelar, Anderson R. Tavares, Thiago L. T. da Silveira, Cláudio R. Jung, Luís C. Lamb:
Superpixel Image Classification with Graph Attention Networks. - Arnab Chatterjee, Yash Pitroda, Manojkumar Parmar:
Dynamic Role-Based Access Control for Decentralized Applications. - Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins:
Sparse and Structured Visual Attention. - Yan Liu, Zhiyuan Jiang, Shunqing Zhang, Shugong Xu:
Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks. - Herbert Egger, Bogdan Radu:
A second order finite element method with mass lumping for Maxwell's equations on tetrahedra. - Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu:
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. - Oswin Aichholzer, Manuel Borrazzo, Prosenjit Bose, Jean Cardinal, Fabrizio Frati, Pat Morin, Birgit Vogtenhuber:
Drawing Graphs as Spanners. - Shi Hu, Nicola Pezzotti, Dimitrios Mavroeidis, Max Welling:
Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition. - Haosheng Chen, Qiangqiang Wu, Yanjie Liang, Xinbo Gao, Hanzi Wang:
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking. - Sylvain Hallé:
Explainable Queries over Event Logs. - Timo Bingmann, Jasper Marianczuk, Peter Sanders:
Engineering Faster Sorters for Small Sets of Items. - Giulia Bernardini, Paola Bonizzoni, Pawel Gawrychowski:
On Two Measures of Distance between Fully-Labelled Trees. - Ali Erkan, Tunga Güngör:
Sentiment Analysis Using Averaged Weighted Word Vector Features. - Zheng Chen, Xing Fan, Yuan Ling, Lambert Mathias, Chenlei Guo:
Pre-Training for Query Rewriting in A Spoken Language Understanding System. - Steven Carr, Nils Jansen, Ufuk Topcu:
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints. - Lin Sun, Xiaojun Ye, Jun Zhao, Chenhui Lu, Mengmeng Yang:
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy. - Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner:
XCS Classifier System with Experience Replay. - Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
On the Sensory Commutativity of Action Sequences for Embodied Agents. - Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning Halfspaces with Massart Noise Under Structured Distributions. - Muhammad Umar Farooq, Saeedeh Moloudi, Michael Lentmaier:
Generalized LDPC Codes with Convolutional Code Constraints. - Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro:
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach. - Ryan Steed, Aylin Caliskan:
Machines Learn Appearance Bias in Face Recognition. - Justin Sybrandt, Ilya Safro:
CBAG: Conditional Biomedical Abstract Generation. - Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
GANILLA: Generative Adversarial Networks for Image to Illustration Translation. - Tejas Srinivasan, Ramon Sanabria, Florian Metze:
Looking Enhances Listening: Recovering Missing Speech Using Images. - Cem Celal Tutum, Risto Miikkulainen:
Adapting to Unseen Environments through Explicit Representation of Context. - Bharadwaj Pudipeddi, Maral Mesmakhosroshahi, Jinwen Xi, Sujeeth Bharadwaj:
Training Large Neural Networks with Constant Memory using a New Execution Algorithm. - Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia:
Adversarial Machine Learning - Industry Perspectives. - Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar:
Politics of Adversarial Machine Learning. - Ugo Dal Lago, Beniamino Accattoli, Gabriele Vanoni:
The Abstract Machinery of Interaction (Long Version). - Hamza Sami Ullah, Samia Aslam:
A Review of Blockchain-based Smart Grid: Applications, Opportunities, and Future Directions. - Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau:
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning. - Aman Agarwal, Shimon Edelman:
Functionally Effective Conscious AI Without Suffering. - Zheng Chen, Sadid A. Hasan, Joey Liu, Vivek V. Datla, Md. Shamsuzzaman, Hafiz Khan, Mohammad S. Sorower, Gabriel Mankovich, Rob van Ommering, Nevenka Dimitrova:
An Ontology-driven Treatment Article Retrieval System for Precision Oncology. - Sébastien Piérard, Marc Van Droogenbroeck:
Summarizing the performances of a background subtraction algorithm measured on several videos. - Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming:
Learning Occupational Task-Shares Dynamics for the Future of Work. - Abhishek Kumar, Tristan Braud, Sasu Tarkoma, Pan Hui:
Trustworthy AI in the Age of Pervasive Computing and Big Data. - Jeannette M. Wing:
Ten Research Challenge Areas in Data Science. - Mahdi H. Miraz, Marie Haikel-Elsabeh:
Analysis of Users' Behaviour and Adoption Trends of Social Media Payment Platforms. - Vikas K. Garg, Adam Kalai, Katrina Ligett, Zhiwei Steven Wu:
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization. - Nikolay Buldakov, Timur Khalilev, Salvatore Distefano, Manuel Mazzara:
An Open Source Solution for Smart Contract-based Parking. - Scott McLachlan, Evangelia Kyrimi, Norman E. Fenton:
Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden. - Jeanine Harb, Nicolas Rébéna, Raphaël Chosidow, Grégoire Roblin, Roman Potarusov, Hatem Hajri:
FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains. - Behnam Pourghassemi, Jordan Bonecutter, Zhou Li, Aparna Chandramowlishwaran:
adPerf: Characterizing the Performance of Third-party Ads. - Mislav Juric, Agneza Sandic, Mario Brcic:
AI safety: state of the field through quantitative lens. - Osonde A. Osoba, Benjamin Boudreaux, Douglas Yeung:
Steps Towards Value-Aligned Systems. - Sofía Trejo, Iván Meza, Fernanda López-Escobedo:
Hacia los Comités de Ética en Inteligencia Artificial. - Michal Kuzba, Przemyslaw Biecek:
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations. - Daniel Karpati, Amro Najjar, Diego Agustín Ambrossio:
Ethics of Food Recommender Applications. - Isaac Robinson, Emma Pierce-Hoffman:
Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE. - Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman:
Classifying the classifier: dissecting the weight space of neural networks. - Zhou Li, Hua Sun:
Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach. - Emily Diana, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani:
Differentially Private Call Auctions and Market Impact. - Gregory Kahn, Pieter Abbeel, Sergey Levine:
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System. - Junqi Wang, Pei Wang, Patrick Shafto:
Sequential Cooperative Bayesian Inference. - William Woof, Ke Chen:
A Framework for End-to-End Learning on Semantic Tree-Structured Data. - Fabricio Aparecido Breve:
Simple Interactive Image Segmentation using Label Propagation through kNN graphs. - Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton:
A Simple Framework for Contrastive Learning of Visual Representations. - Daniel Anderson, Guy E. Blelloch, Kanat Tangwongsan:
Work-efficient Batch-incremental Minimum Spanning Trees with Applications to the Sliding Window Model. - Baturalp Buyukates, Sennur Ulukus:
Age of Information with Gilbert-Elliot Servers and Samplers. - Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. - Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. - Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett:
Self-Distillation Amplifies Regularization in Hilbert Space. - Baptiste Wojtkowski, Pedro Castillo, Indira Thouvenin:
A New Exocentric Metaphor for Complex Path Following to Control a UAV Using Mixed Reality. - Nicolò Colombo:
Multiple Metric Learning for Structured Data. - Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan:
Risk Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. - Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma, Yi Sun:
Multi-objective Ranking via Constrained Optimization. - Maximilian Kloock, Patrick Scheffe, Isabelle Tülleners, Janis Maczijewski, Bassam Alrifaee, Stefan Kowalewski:
Vision-Based Real-Time Indoor Positioning System for Multiple Vehicles. - Vartika Agrahari, Sridhar Chimalakonda:
An Exploratory Study of Code Smells in Web Games. - Theofanis Floros, Karolos-Alexandros Tsakalos, Nikolaos I. Dourvas, Michail-Antisthenis I. Tsompanas, Georgios Ch. Sirakoulis:
Unconventional Bio-Inspired Model for Design of Logic Gates. - Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths:
The Efficiency of Human Cognition Reflects Planned Information Processing. - Yang Liu, Tiexing Wang, Yuexin Jiang, Biao Chen:
Harvesting Ambient RF for Presence Detection Through Deep Learning. - Ningbo Yu, Chang Xu:
An Improved Wrist Kinematic Model for Human-Robot Interaction. - M. Akif Özkan, Arsène Pérard-Gayot, Richard Membarth, Philipp Slusallek, Roland Leißa, Sebastian Hack, Jürgen Teich, Frank Hannig:
AnyHLS: High-Level Synthesis with Partial Evaluation. - Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Disentangling Overlapping Beliefs by Structured Matrix Factorization. - Soheila Barchinezhad, Mohammad Sayad Haghighi:
Compensation of Linear Attacks to Cyber Physical Systems through ARX System Identification. - Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk:
On Learning Meaningful Assert Statements for Unit Test Cases. - Shufan Wang, Jian Li, Shiqiang Wang:
Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions. - Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition. - Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song:
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. - Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. - Kai Ming Ting, Jonathan R. Wells, Ye Zhu:
Clustering based on Point-Set Kernel. - Guillaume Saint-Jacques, Amir Sepehri, Nicole Li, Igor Perisic:
Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design. - Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand:
Frequency-based Search-control in Dyna. - Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba:
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. - Tasuku Soma, Yuichi Yoshida:
Statistical Learning with Conditional Value at Risk. - Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang:
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. - Xiangyao Yu, Matt Youill, Matthew E. Woicik, Abdurrahman Ghanem, Marco Serafini, Ashraf Aboulnaga, Michael Stonebraker:
PushdownDB: Accelerating a DBMS using S3 Computation. - Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad:
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale. - Cory B. Scott, Eric Mjolsness:
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems. - Keisuke Imoto, Noriyuki Tonami, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, Yoichi Yamashita:
Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels. - Weidong Mei, Rui Zhang:
Cooperative NOMA for Downlink Asymmetric Interference Cancellation. - David Eppstein, Hadi Khodabandeh:
On the Edge Crossings of the Greedy Spanner. - Christopher A. Metzler, Gordon Wetzstein:
Deep S3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models. - Peter Clark, Oyvind Tafjord, Kyle Richardson:
Transformers as Soft Reasoners over Language. - Shan Zhang, Liudi Wang, Hongbin Luo, Xiao Ma, Sheng Zhou:
AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing. - Vitor Pinheiro de Almeida, Sukanya Bhowmik, Markus Endler, Kurt Rothermel:
DSCEP: An Infrastructure for Distributed Semantic Complex Event Processing. - Zhicheng Li, Zhihao Gu, Xuan Di, Rongye Shi:
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset. - P. A. Golovinski, S. A. Kolodyazhnyi:
Gender Genetic Algorithm in the Dynamic Optimization Problem. - Leila Rashidi, Amir Dalili-Yazdi, Reza Entezari-Maleki, Leonel Sousa, Ali Movaghar:
Performance Modeling of Epidemic Routing in Mobile Social Networks with Emphasis on Scalability. - Jimut Bahan Pal:
How to cluster nearest unique nodes from different classes using JJCluster in Wisp application? - Youlong Cao, Meixia Tao:
Degrees of Freedom of Cache-Aided Wireless Cellular Networks. - Minyoung Chung, Jingyu Lee, Jeongjin Lee, Yeong-Gil Shin:
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention. - Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel:
eSPICE: Probabilistic Load Shedding from Input Event Streams in Complex Event Processing. - Floris Devriendt, Tias Guns, Wouter Verbeke:
Learning to rank for uplift modeling. - Zhaorui Wang, Liang Liu, Shuguang Cui:
Intelligent Reflecting Surface Assisted Massive MIMO Communications. - Budhaditya Saha, Sanal Lisboa, Shameek Ghosh:
Understanding patient complaint characteristics using contextual clinical BERT embeddings. - Omar Adel Ibrahim, Savio Sciancalepore, Gabriele Oligeri, Roberto Di Pietro:
MAGNETO: Fingerprinting USB Flash Drives via Unintentional Magnetic Emissions. - Bin Ren, Mengyuan Liu, Runwei Ding, Hong Liu:
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method. - William Gilpin:
Deep learning of dynamical attractors from time series measurements. - Matias Korman, André van Renssen, Marcel Roeloffzen, Frank Staals:
Kinetic Geodesic Voronoi Diagrams in a Simple Polygon. - Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang:
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking. - Jinglian He, Kaiqiang Yu, Yuanming Shi:
Coordinated Passive Beamforming for Distributed Intelligent Reflecting Surfaces Network. - Zihan Liu, Genta Indra Winata, Pascale Fung:
Zero-Resource Cross-Domain Named Entity Recognition. - Guangshuai Gao, Qingjie Liu, Yunhong Wang:
Counting dense objects in remote sensing images. - Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Derek Leong, Ping Wang, Zhu Han:
Optimal Pricing of Internet of Things: A Machine Learning Approach. - Ivar Stefansson, Inga Berre, Eirik Keilegavlen:
Finite volume discretisation of fracture deformation in thermo-poroelastic media. - Marcus M. Scheunemann, Christoph Salge, Daniel Polani, Kerstin Dautenhahn:
Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction. - Manne Held, Oscar Flärdh, Fredrik Roos, Jonas Mårtensson:
Optimal Freewheeling Control of a Heavy-Duty Vehicle Using Mixed Integer Quadratic Programming. - Daniel Schuster, Sebastiaan J. van Zelst:
Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm. - S. Akshay, Paul Gastin, S. Krishna, Sparsa Roychowdhury:
Revisiting Underapproximate Reachability for Multipushdown Systems. - Lukás Jendele, Sammy Joe Christen, Emre Aksan, Otmar Hilliges:
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks. - Marco Dinarelli, Nikita Kapoor, Bassam Jabaian, Laurent Besacier:
A Data Efficient End-To-End Spoken Language Understanding Architecture. - Marianna Girlando, Sara Negri, Nicola Olivetti:
Uniform labelled calculi for preferential conditional logics based on neighbourhood semantics. - Jiawen Lyn:
Multi-Level Feature Fusion Mechanism for Single Image Super-Resolution. - Leonel Merino, Boris Sotomayor-Gómez, Xingyao Yu, Ronie Salgado, Alexandre Bergel, Michael Sedlmair, Daniel Weiskopf:
Toward Agile Situated Visualization: An Exploratory User Study. - Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester, Bodo Rosenhahn:
Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. - Silin Gao, Zhijian Ou, Wei Yang, Huifang Xu:
Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models. - Dongbo Zhang, Xuequan Lu, Hong Qin, Ying He:
Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling. - Hongyu Ren, Weihua Hu, Jure Leskovec:
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings. - Dongfang Zhao:
Algebraic Structure of Blockchains: A Group-Theoretical Primer. - Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas:
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study. - Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka:
High-Performance High-Order Stencil Computation on FPGAs Using OpenCL. - Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro:
Interleaved Sequence RNNs for Fraud Detection. - Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma:
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. - Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Adversarial Distributional Training for Robust Deep Learning. - Borja G. León, Francesco Belardinelli:
Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning. - Fabricio A. Breve:
Building Networks for Image Segmentation using Particle Competition and Cooperation. - Corinna Coupette, Christoph Lenzen:
A Breezing Proof of the KMW Bound. - Manel Ayadi, Nahla Ben Amor, Jérôme Lang:
Approximating Voting Rules from Truncated Ballots. - Natalia A. Tomashenko, Christian Raymond, Antoine Caubrière, Renato De Mori, Yannick Estève:
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems. - Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Chuan-Sheng Foo, Rio Yokota:
Scalable and Practical Natural Gradient for Large-Scale Deep Learning. - Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid:
DNN-Based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays. - Takahiro Hirofuchi, Ryousei Takano:
A Prompt Report on the Performance of Intel Optane DC Persistent Memory Module. - Sahar Idrees, Xiangyun Zhou, Salman Durrani, Dusit Niyato:
A Retrodirective Wireless Power Transfer Scheme for Ambient Backscatter Systems. - Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu:
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training. - (Withdrawn) Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning.
- Leulseged Tesfaye Alemu:
Constrained Dominant sets and Its applications in computer vision. - Aleksei Gusev, Vladimir Volokhov, Tseren Andzhukaev, Sergey Novoselov, Galina Lavrentyeva, Marina Volkova, Alice Gazizullina, Andrey Shulipa, Artem Gorlanov, Anastasia Avdeeva, Artem Ivanov, Alexander Kozlov, Timur Pekhovsky, Yuri Matveev:
Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances. - Jorge Bustos, Victor A. Jimenez, Adrian Will:
A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation. - Zhihao Gavin Tang, Xiaowei Wu, Yuhao Zhang:
A Simple 1-1/e Approximation for Oblivious Bipartite Matching. - Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell:
Never Give Up: Learning Directed Exploration Strategies. - Michael Röder, Mohamed Ahmed Sherif, Muhammad Saleem, Felix Conrads, Axel-Cyrille Ngonga Ngomo:
Benchmarking Knowledge Graphs on the Web. - Hualu Liu, Xiusheng Liu:
Constructions of quantum MDS codes. - Wouter Kool, Herke van Hoof, Max Welling:
Estimating Gradients for Discrete Random Variables by Sampling without Replacement. - Luca Ciccone:
Flexible Coinduction in Agda. - Youngmin Ro, Jin Young Choi:
Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks. - Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher:
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. - Yixuan Zhang, Andrea G. Parker:
Eat4Thought: A Design of Food Journaling. - Martin d'Hoffschmidt, Maxime Vidal, Wacim Belblidia, Tom Brendlé:
FQuAD: French Question Answering Dataset. - Franz Baader, Bartosz Bednarczyk, Sebastian Rudolph:
Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints. - David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro:
ARMS: Automated rules management system for fraud detection. - Jakub Kruzik, David Horák, Martin Cermák, Lukás Pospísil, Marek Pecha:
Active set expansion strategies in MPRGP algorithm. - Rémy Belmonte, Ignasi Sau:
On the complexity of finding large odd induced subgraphs and odd colorings. - Ezra Tampubolon, Haris Ceribasic, Holger Boche:
Resource-Aware Control via Dynamic Pricing for Congestion Game with Finite-Time Guarantees. - Xuewen Yu, Jim Q. Smith, Linda Nichols:
Bayesian Learning of Causal Relationships for System Reliability. - Birgitta Dresp-Langley:
Artificial Intelligence, connected products, virtual reality: potential impacts on consumer safety in terms of their physical and psychological ability or well-being. - Yingjiao Li, Zhiyong Chen, Meixia Tao:
Mobile Communications, Computing and Caching Resources Optimization for Coded Caching with Device Computing. - Anthony Steed, Sebastian Friston, Vijay Pawar, David Swapp:
Docking Haptics: Extending the Reach of Haptics by Dynamic Combinations of Grounded and Worn Devices. - Alina Patelli, Victoria Lush, Anikó Ekárt, Elisabeth Ilie Zudor:
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data. - Ramy E. Ali:
Consistency Analysis of Replication-Based Probabilistic Key-Value Stores. - Emile van Krieken, Erman Acar, Frank van Harmelen:
Analyzing Differentiable Fuzzy Logic Operators. - Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf:
Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. - Tobias Laas, Josef A. Nossek, Wen Xu:
Limits of Transmit and Receive Array Gain in Massive MIMO. - Yuhao Yi, Anirban Das, Stacy Patterson, Bassam Bamieh, Zhongzhi Zhang:
Diffusion and Consensus in a Weakly Coupled Network of Networks. - William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler:
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base. - Ziru Chen, Yong Liu, Sami Khairy, Lin X. Cai, Yu Cheng, Ran Zhang:
Optimizing Non-Orthogonal Multiple Access in Random Access Networks. - Walter Grotz, Santiago Moreno Gelabert, Emanuel Trabes, Carlos Federico Sosa Páez, Julio Daniel Dondo Gazzano:
A low cost small reconfigurable autonomous vehicle for research, testing and teaching of guidance, control and positioning systems. - Raul de Araújo Lima, Simone Diniz Junqueira Barbosa:
VisMaker: a Question-Oriented Visualization Recommender System for Data Exploration. - Pierre Rioux, Gregory Kiar, Alexandre Hutton, Alan C. Evans, Shawn T. Brown:
Deploying large fixed file datasets with SquashFS and Singularity. - Nevan Wichers:
RL agents Implicitly Learning Human Preferences. - Gang Chen, Peter Monk, Yangwen Zhang:
HDG and CG methods for the Indefinite Time-Harmonic Maxwell's Equations under minimal regularity. - Craig Pelissier, Jonathan Frame, Grey Nearing:
Combining Parametric Land Surface Models with Machine Learning. - Raphaël Barman, Maud Ehrmann, Simon Clematide, Sofia Ares Oliveira, Frédéric Kaplan:
Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers. - Yuxiao Yan, Yang Yan, Jinjia Peng, Huibing Wang, Xianping Fu:
Purifying Real Images with an Attention-guided Style Transfer Network for Gaze Estimation. - Vikas K. Garg, Stefanie Jegelka, Tommi S. Jaakkola:
Generalization and Representational Limits of Graph Neural Networks. - Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal:
The Goal-Gradient Hypothesis in Stack Overflow. - Markus Suhr, Christoph Lehmann, Christian Robert Bauer, Theresa Bender, Cornelius Knopp, Luca Freckmann, Björn Öst Hansen, Christian Henke, Georg Aschenbrandt, Lea Kühlborn, Sophia Rheinländer, Linus Weber, Bartlomiej Marzec, Marcel Hellkamp, Philipp Wieder, Harald Kusch, Ulrich Sax, Sara Yasemin Nussbeck:
menoci: Lightweight Extensible Web Portal enabling FAIR Data Management for Biomedical Research Projects. - Stella Giannakopoulou, Manos Karpathiotakis, Anastasia Ailamaki:
Cleaning Denial Constraint Violations through Relaxation. - Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola:
Transformer on a Diet. - Alireza Eshaghpour, Mostafa Salehi, Vahid Ranjbar:
Providing a Link Prediction Model based on Structural and Homophily Similarity in Social Networks. - Youngsoo Ha, Changho Kim, Hyoseon Yang, Jungho Yoon:
Improving accuracy of the fifth-order WENO scheme by using the exponential approximation space. - Satoshi Egi, Yuichi Nishiwaki:
Functional Programming in Pattern-Match-Oriented Programming Style. - Gary Marcus:
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence. - Greg Michaelson:
Programming Paradigms, Turing Completeness and Computational Thinking. - Tomoki Nakamaru, Shigeru Chiba:
Generating a Generic Fluent API in Java. - Mauricio Verano Merino, Jurgen J. Vinju, Tijs van der Storm:
Bacatá: Notebooks for DSLs, Almost for Free. - Steven Costiou, Vincent Aranega, Marcus Denker:
Sub-method, partial behavioral reflection with Reflectivity: Looking back on 10 years of use. - Jeff Smits, Gabriël D. P. Konat, Eelco Visser:
Constructing Hybrid Incremental Compilers for Cross-Module Extensibility with an Internal Build System. - Pascal Weisenburger, Guido Salvaneschi:
Implementing a Language for Distributed Systems: Choices and Experiences with Type Level and Macro Programming in Scala. - João Costa Seco, Paulo Ferreira, Hugo Lourenço, Carla Ferreira, Lúcio Ferrão:
Robust Contract Evolution in a TypeSafe MicroServices Architecture. - Johannes Mey, Thomas Kühn, René Schöne, Uwe Aßmann:
Reusing Static Analysis across Different Domain-Specific Languages using Reference Attribute Grammars. - Bob Reynders, Frank Piessens, Dominique Devriese:
Gavial: Programming the web with multi-tier FRP. - Lingkai Kong, Molei Tao:
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. - Tomas Petricek:
Foundations of a live data exploration environment. - Daniel Speicher:
Did JHotDraw respect the Law of Good Style? - An exploratory deep dive into the nature of false positives of bad code smells. - Yasser F. Al-Eryani, Mohamed Akrout, Ekram Hossain:
Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design. - Yu Chen, S. Yusef Shafi, Yi-Fan Chen:
Simulation Pipeline for Traffic Evacuation in Urban Areas and Emergency Traffic Management Policy Improvements. - Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan:
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. - Daniel Steinberg, Alistair Reid, Simon O'Callaghan, Finnian Lattimore, Lachlan McCalman, Tibério S. Caetano:
Fast Fair Regression via Efficient Approximations of Mutual Information. - Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein:
Attentive Item2Vec: Neural Attentive User Representations. - Keiji Onishi, Makoto Tsubokura:
Topology-free immersed boundary method for incompressible turbulence flows: An aerodynamic simulation for 'dirty' CAD geometry. - Toni Mattis, Robert Hirschfeld:
Lightweight Lexical Test Prioritization for Immediate Feedback. - Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour:
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. - Paulo Finardi, Israel Campiotti, Gustavo Plensack, Rafael Derradi de Souza, Rodrigo Frassetto Nogueira, Gustavo R. Pinheiro, Roberto de Alencar Lotufo:
Electricity Theft Detection with self-attention. - Gene Cooperman, Martin Quinson:
Sthread: In-Vivo Model Checking of Multithreaded Programs. - Saeed Samadianfard, Sajjad Hashemi, Katayoun Kargar, Mojtaba Izadyar, Ali Mostafaeipour, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband:
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm. - Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigün:
Spectrum Translation for Cross-Spectral Ocular Matching. - Morteza Rohanian, Mostafa Salehi, Ali Darzi, Vahid Ranjbar:
Convolutional Neural Networks for Sentiment Analysis in Persian Social Media. - Magdalena Kacmajor, John D. Kelleher, Filip Klubicka, Alfredo Maldonado:
Semantic Relatedness and Taxonomic Word Embeddings. - Warren B. Powell:
On State Variables, Bandit Problems and POMDPs. - Jiachen Li, Hengbo Ma, Zhihao Zhang, Masayoshi Tomizuka:
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network. - Nick Alger, Peng Chen, Omar Ghattas:
Tensor train construction from tensor actions, with application to compression of large high order derivative tensors. - Michel Bakni, Luis Manuel Moreno Chacón, Yudith Cardinale, Guillaume Terrasson, Octavian Curea:
WSN simulators evaluation: an approach focusing on energy awareness. - Julien Grand-Clément, Carri W. Chan, Vineet Goyal, Gabriel J. Escobar:
Robust Policies For Proactive ICU Transfers. - Alexander Hinsen, Benedikt Jahnel, Elie Cali, Jean-Philippe Wary:
Malware propagation in urban D2D networks. - Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach. - Jie Gao, Shan Zhang, Lian Zhao, Xuemin Shen:
The Design of Dynamic Probabilistic Caching with Time-Varying Content Popularity. - Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Joongheon Kim, Jaekyun Moon:
Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective. - Pradnya Kiri Taksande, Prasanna Chaporkar, Pranav Jha, Abhay Karandikar:
Proportional Fairness through Dual Connectivity in Heterogeneous Networks. - Pradnya Kiri Taksande, Pranav Jha, Abhay Karandikar, Prasanna Chaporkar:
Open5G: A Software-Defined Networking Protocol for 5G Multi-RAT Wireless Networks. - Justin M. Wozniak, Hemant Sharma, Timothy G. Armstrong, Michael Wilde, Jonathan D. Almer, Ian T. Foster:
Big Data Staging with MPI-IO for Interactive X-ray Science. - Hui Yang, Kaixuan Zhan, Michel Kadoch, Yongshen Liang, Mohamed Cheriet:
BLCS: Brain-Like based Distributed Control Security in Cyber Physical Systems. - Aaron Hertzmann:
Why Do Line Drawings Work? A Realism Hypothesis. - Carlos Aspillaga, Andrés Carvallo, Vladimir Araujo:
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks. - Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao:
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. - Yanfeng Liu, Eric Psota, Lance C. Pérez:
Layered Embeddings for Amodal Instance Segmentation. - Julian Pape-Lange:
On Extensions of Maximal Repeats in Compressed Strings. - Remco van der Meer, Cornelis W. Oosterlee, Anastasia Borovykh:
Optimally weighted loss functions for solving PDEs with Neural Networks. - Connor J. Parde, Y. Ivette Colón, Matthew Q. Hill, Carlos Domingo Castillo, Prithviraj Dhar, Alice J. O'Toole:
Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined. - Wenhao Lu, Jian Jiao, Ruofei Zhang:
TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval. - Jeannette M. Wing:
Trustworthy AI. - Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna:
A mean-field analysis of two-player zero-sum games. - Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera:
Algorithmic Recourse: from Counterfactual Explanations to Interventions. - Ammar Malik, Hugo Lhachemi, Robert Shorten:
I-nteract: A cyber-physical system for real-time interaction with physical and virtual objects using mixed reality technologies for additive manufacturing. - Jiangping Han, Yitao Xing, Kaiping Xue, David S. L. Wei, Guoliang Xue, Peilin Hong:
Leveraging Coupled BBR and Adaptive Packet Scheduling to Boost MPTCP. - Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang:
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. - Sriram Gopalakrishnan, Utkarsh Soni:
Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences. - Antoni Rosinol, Arjun Gupta, Marcus Abate, Jingnan Shi, Luca Carlone:
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans. - Michal Warchalski, Dimitrije Radojevic, Milos Milosevic:
Deep RL Agent for a Real-Time Action Strategy Game. - Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman:
Sparse Coresets for SVD on Infinite Streams. - Falcon Z. Dai, Matthew R. Walter:
Loop estimator for discounted values in Markov reward processes. - James P. Philips, Nasseh Tabrizi:
Historical Document Processing: Historical Document Processing: A Survey of Techniques, Tools, and Trends. - Reza Khalilisenobari, Meng Wu:
Optimal Participation of Price-Maker Battery Energy Storage Systems (BESSs) in Energy, Reserve and Pay as Performance Regulation Markets. - Minho Hwang, Daniel Seita, Brijen Thananjeyan, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg:
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot. - Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu:
Recognizing Families In the Wild (RFIW): The 4th Edition. - Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith:
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. - Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell:
Jelly Bean World: A Testbed for Never-Ending Learning. - Matteo Zallio, John McGrory, Damon Berry:
How to democratize Internet of Things devices. A participatory design study to improve digital literacy. - Dongge Liu, Gidon Ernst, Toby Murray, Benjamin I. P. Rubinstein:
Legion: Best-First Concolic Testing. - Wei Zhang, Yunfeng Zhang, Ning Liu:
Map-less Navigation: A Single DRL-based Controller for Robots with Varied Dimensions. - Meryem Essaidi, Kira Goldner, S. Matthew Weinberg:
When to Limit Market Entry under Mandatory Purchase. - Shindong Lee, BongGu Ko, Keonnyeong Lee, In-Chul Yoo, Dongsuk Yook:
Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks. - Nikhil R. Devanur, Kira Goldner, Raghuvansh Saxena, Ariel Schvartzman, S. Matthew Weinberg:
Optimal Mechanism Design for Single-Minded Agents. - Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton:
Latent Variable Modelling with Hyperbolic Normalizing Flows. - Taejoon Byun, Abhishek Vijayakumar, Sanjai Rayadurgam, Darren D. Cofer:
Manifold-based Test Generation for Image Classifiers. - Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, Rafailia-Eleni Karamani, Vasileios G. Ntinas, Giorgos Dimitrakopoulos, Sorin Cotofana, Georgios Ch. Sirakoulis:
Memristive oscillatory circuits for resolution of NP-complete logic puzzles: Sudoku case. - Shashank Singh, Sudharsan Thirumalai, M. P. Selvan:
Realization of Self-Demand Response Through Non-Intrusive Load Monitoring Algorithm. - Zhaole Sun, Kai Yuan, Wenbin Hu, Chuanyu Yang, Zhibin Li:
Learning Pregrasp Manipulation of Objects from Ungraspable Poses. - Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai:
Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images. - Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. - Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Qiaozhu Mei, Xuanzhe Liu:
Neural Architecture Search over Decentralized Data. - Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, Ming Zhou:
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation. - Jielun Zhang, Fuhao Li, Feng Ye, Hongyu Wu:
Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update. - Rajae Malek, Cherif Ziti:
Extension of δ-ziti method in the unit ball: Numerical integration, resolution of Poisson's problem and Heat transfer. - Kirill Akhmetzyanov, Alexander Yuzhakov:
Multi-Task Multicriteria Hyperparameter Optimization. - Daniel Firouzimagham, Mohammad Sabouri, Fatemeh Adhami:
An IoT-Based System: Big Urban Traffic Data Mining Through Airborne Pollutant Gases Analysis. - Qiuyan Wang, Yang Yan, Chenhuang Wu, Chun'e Zhao:
Asymptotically optimal codebooks derived from generalised bent functions. - Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao, Zhifeng Li:
Video Face Super-Resolution with Motion-Adaptive Feedback Cell. - Andrew McDole, Mahmoud Abdelsalam, Maanak Gupta, Sudip Mittal:
Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS. - Zarina Kurbatova, Ivan Veselov, Yaroslav Golubev, Timofey Bryksin:
Recommendation of Move Method Refactoring Using Path-Based Representation of Code. - Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola:
Quantum Bandits. - Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu:
Open Knowledge Enrichment for Long-tail Entities. - Qiaobin Kuang, Jie Gong, Xiang Chen, Xiao Ma:
Analysis on Computation-Intensive Status Update in Mobile Edge Computing. - Aman Sharma, Ashutosh Bhatia:
Bitcoin's Blockchain Data Analytics: A Graph Theoretic Perspective. - Simone Naldi, Vincent Neiger:
A divide-and-conquer algorithm for computing Gröbner bases of syzygies in finite dimension. - Michael Färber, Ashwath Sampath:
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation. - Elias Javier Garcia Claro, Horacio Tapia-Recillas:
On the dimension of ideals in group algebras, and group codes. - Alexander E. Beasley, Anna L. Powell, Andrew Adamatzky:
Memristive Properties of Mushrooms. - Chao Wang, Stephan Hasler, Manuel Mühlig, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Lydia Fischer:
Designing Interaction for Multi-agent Cooperative System in an Office Environment. - Joseph O'Rourke:
A Note on Unbounded Polyhedra Derived from Convex Caps. - Paola Francesca Antonietti, Chiara Facciolà, Marco Verani:
Polytopic Discontinuous Galerkin methods for the numerical modelling of flow in porous media with networks of intersecting fractures. - Abu Reyan Ahmed, Faryad Darabi Sahneh, Stephen G. Kobourov, Richard Spence:
Kruskal-based approximation algorithm for the multi-level Steiner tree problem. - Kinjal Dasgupta, Sudip Das, Ujjwal Bhattacharya:
Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images. - Phil Crone:
Deeper Task-Specificity Improves Joint Entity and Relation Extraction. - Sudip Das, Perla Sai Raj Kishore, Ujjwal Bhattacharya:
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians. - Tom Silver, Rohan Chitnis:
PDDLGym: Gym Environments from PDDL Problems. - Chiranjib Sur:
MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC). - Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris S. Papailiopoulos, Yasaman Khazaeni:
Federated Learning with Matched Averaging. - Yaoshu Wang, Chuan Xiao, Jianbin Qin, Xin Cao, Yifang Sun, Wei Wang, Makoto Onizuka:
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach. - Weishi Shi, Samuel A. Malachowsky, Yasmine N. El-Glaly, Qi Yu, Daniel E. Krutz:
Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education. - Karthika Subramani, Xingzi Yuan, Omid Setayeshfar, Phani Vadrevu, Kyu Hyung Lee, Roberto Perdisci:
Measuring Abuse in Web Push Advertising. - Manni Singh, David J. Weston, Mark Levene:
Supervised Phrase-boundary Embeddings. - Anuj Dawar, Gregory Wilsenach:
Symmetric Arithmetic Circuits. - Changhong Mou, Birgul Koc, Omer San, Traian Iliescu:
Data-Driven Variational Multiscale Reduced Order Models. - Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio:
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. - Pedro Reviriego, Daniel Ting:
Security of HyperLogLog (HLL) Cardinality Estimation: Vulnerabilities and Protection. - Ezio Bartocci, Thomas Ferrère, Thomas A. Henzinger, Dejan Nickovic, Ana Oliveira da Costa:
Information-Flow Interfaces. - Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus:
On Coresets for Support Vector Machines. - Yannick Schroecker, Charles L. Isbell Jr.:
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning. - Sherif ElAzzouni, Eylem Ekici, Ness B. Shroff:
Is Deadline Oblivious Scheduling Efficient for Controlling Real-Time Traffic in Cellular Downlink Systems? - Ari Azarafrooz:
Correlated Adversarial Imitation Learning. - Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su:
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. - Saadallah Kassir, Pablo Caballero Garces, Gustavo de Veciana, Nannan Wang, Xi Wang, Paparao Palacharla:
Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks. - Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng:
Learning Adaptive Loss for Robust Learning with Noisy Labels. - Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner:
Face Recognition: Too Bias, or Not Too Bias? - Tzu-Hsiang Lin, Trung Bui, Doo Soon Kim, Jean Oh:
A Multimodal Dialogue System for Conversational Image Editing. - Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White:
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. - Tomohiro Nishiyama:
Convex Optimization on Functionals of Probability Densities. - Morteza Banagar, Vishnu Vardhan Chetlur, Harpreet S. Dhillon:
Handover Probability in Drone Cellular Networks. - Kasra Ghasemi, Sadra Sadraddini, Calin Belta:
Compositional Synthesis via a Convex Parameterization of Assume-Guarantee Contracts. - Milad Nasr, Alireza Bahramali, Amir Houmansadr:
Blind Adversarial Network Perturbations. - Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale:
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. - Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister:
Differentiable Top-k Operator with Optimal Transport. - Kai Fong Ernest Chong:
A closer look at the approximation capabilities of neural networks. - Yiming Zhang, Quan Vuong, Keith W. Ross:
First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning. - Fei Dong, Keyou You, Lihua Xie:
Circumnavigating a Moving Target with Range-only Measurements. - Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu:
Multi-Class Classification from Noisy-Similarity-Labeled Data. - Rakesh Rajan Beck, Abhishek Vijeev, Vinod Ganapathy:
Privaros: A Framework for Privacy-Compliant Drones. - Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He:
A Real-Time Deep Network for Crowd Counting. - Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim:
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations. - Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li:
Facial Attribute Capsules for Noise Face Super Resolution. - Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz:
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. - Avik Ranjan Adhikary, Zhengchun Zhou, Yang Yang, Pingzhi Fan:
New Constructions of Cross Z-Complementary Pairs. - Tayebeh Rajab, Mohammad Hossein Manshaei, Mohammad Dakhilalian, Murtuza Jadliwala, Mohammad Ashiqur Rahman:
On the Feasibility of Sybil Attacks in Shard-Based Permissionless Blockchains. - Burak Bartan, Mert Pilanci:
Distributed Sketching Methods for Privacy Preserving Regression. - Ziyin Liu, Blair Chen, Ru Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda:
Learning Not to Learn in the Presence of Noisy Labels. - Hrituraj Singh, Milan Aggarwal, Balaji Krishnamurthy:
Exploring Neural Models for Parsing Natural Language into First-Order Logic. - Shir Cohen, Idit Keidar, Alexander Spiegelman:
Not a COINcidence: Sub-Quadratic Asynchronous Byzantine Agreement WHP. - Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu:
Neural Machine Translation with Joint Representation. - Gad Zalcberg, Ami Wiesel:
Fair Principal Component Analysis and Filter Design. - Enneng Yang, Xin Xin, Li Shen, Guibing Guo:
Generalized Embedding Machines for Recommender Systems. - Ayelet Mizrahi, Aviv Zohar:
Congestion Attacks in Payment Channel Networks. - Sai Shubodh Puligilla, Satyajit Tourani, Tushar Vaidya, Udit Singh Parihar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna:
Topological Mapping for Manhattan-like Repetitive Environments. - Zhenwei Liu, Donya Nojavanzadeh, Dmitri Saberi, Ali Saberi, Anton A. Stoorvogel:
Regulated State Synchronization for Discrete-Time Homogeneous Networks of Non-Introspective Agents in Presence of Unknown Non-Uniform Input Delays: A Scale-Free Protocol Design (with a general MATLAB implementation). - Catalin Voss, Peter Washington, Nick Haber, Aaron Kline, Jena Daniels, Azar Fazel, Titas De, Beth McCarthy, Carl Feinstein, Terry Winograd, Dennis P. Wall:
Superpower Glass: Delivering Unobtrusive Real-time Social Cues in Wearable Systems. - Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. - Vinicius Woloszyn, Felipe Schaeffer, Beliza Boniatti, Eduardo G. Cortes, Salar Mohtaj, Sebastian Möller:
Untrue.News: A New Search Engine For Fake Stories. - David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). - Marlin P. Strub, Jonathan D. Gammell:
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques. - Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani:
Pipeline Interventions. - Jiabao Lei, Kui Jia:
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks. - Dimos Tzoumanikas, Qingyue Yan, Stefan Leutenegger:
Nonlinear MPC with Motor Failure Identification and Recovery for Safe and Aggressive Multicopter Flight. - Marlin P. Strub, Jonathan D. Gammell:
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics. - Samuel S. Ogden, Tian Guo:
MDInference: Balancing Inference Accuracy and Latency for Mobile Applications. - YeongMin Ko, Jiwon Jun, Donghwuy Ko, Moongu Jeon:
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection. - Jin Gyu Lee, Junsoo Kim, Hyungbo Shim:
Fully Distributed Resilient State Estimation based on Distributed Median Solver. - Waldemar W. Koczkodaj, Ryszard Smarzewski, Jacek Szybowski:
On Orthogonal Projections on the Space of Consistent Pairwise Comparisons Matrices. - Nurefsan Gür, Torben Bach Pedersen, Katja Hose, Mikael Midtgaard:
Multidimensional Enrichment of Spatial RDF Data for SOLAP - Full Version. - Anej Svete, Jakob Hostnik:
It is not just about the Melody: How Europe Votes for its Favorite Songs. - Jae-Myung Kim, Hyungjin Kim, Chanwoo Park, Jungwoo Lee:
REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation. - Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir:
Controlled time series generation for automotive software-in-the-loop testing using GANs. - Zahra Abbasiyantaeb, Saeedeh Momtazi:
Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey. - Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers:
Linear System Identification under Multiplicative Noise from Multiple Trajectory Data. - Ha-Vu Tran, Georges Kaddoum, Chadi Abou-Rjeily:
Collaborative RF and Lightwave Power Transfer for Next-Generation Wireless Networks. - Mayanka Chandrashekar, Yugyung Lee:
CRL: Class Representative Learning for Image Classification. - Shuai Zhao, Achir Kalra, Cristian Borcea, Yi Chen:
To be Tough or Soft: Measuring the Impact of Counter-Ad-blocking Strategies on User Engagement. - Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky:
A gradient system approach for Hankel structured low-rank approximation. - Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. - Hubert Lin, Paul Upchurch, Kavita Bala:
Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition. - Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Modeling Citation Trajectories of Scientific Papers. - Pedro Oliveira, Alexandre Silva, Rui Valadas:
The HPIM-DM Multicast Routing Protocol. - Feng Feng, Shang Kai, Tony Stockman:
Can rhythm be touched? An evaluation of rhythmic sketch performance with augmented multimodal feedback. - Tab Memmott, Aziz Koçanaogullari, Matthew Lawhead, Daniel Klee, Shiran Dudy, Melanie Fried-Oken, Barry Oken:
BciPy: Brain-Computer Interface Software in Python. - Tanvi Dadu, Kartikey Pant, Radhika Mamidi:
Towards Detection of Subjective Bias using Contextualized Word Embeddings. - Alejandro Flores-Velazco, David M. Mount:
Coresets for the Nearest-Neighbor Rule. - Bin Wang, C.-C. Jay Kuo:
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models. - Caleb Helbling:
Directed Graph Hashing. - Feng Feng, Tony Stockman:
Concurrent Crossmodal Feedback Assists Target-searching: Displaying Distance Information Through Visual, Auditory and Haptic Modalities. - Yanchao Sun, Xiangyu Yin, Furong Huang:
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. - Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. - Sai Sagar Jinka, Rohan Chacko, Avinash Sharma, P. J. Narayanan:
PeelNet: Textured 3D reconstruction of human body using single view RGB image. - Fatemeh Salehi Rizi, Michael Granitzer:
Predicting event attendance exploring social influence. - Manh Huynh, Gita Alaghband:
AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes. - Igor Sfiligoi, Frank Würthwein, Benedikt Riedel, David Schultz:
Running a Pre-Exascale, Geographically Distributed, Multi-Cloud Scientific Simulation. - Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora:
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality. - Feng Feng, Puhong Li, Tony Stockman:
Exploring crossmodal perceptual enhancement and integration in a sequence-reproducing task with cognitive priming. - Daniel Ranti, Katie Hanss, Shan Zhao, Varun Arvind, Joseph J. Titano, Anthony B. Costa, Eric K. Oermann:
The Utility of General Domain Transfer Learning for Medical Language Tasks. - Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt:
Performative Prediction. - Kohei Matsuura, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara:
Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language. - Bruno Bauwens, Ilya Blinnikov:
The normalized algorithmic information distance can not be approximated. - Rose E. Wang, Michael Everett, Jonathan P. How:
R-MADDPG for Partially Observable Environments and Limited Communication. - Fatemeh Salehi Rizi, Michael Granitzer, Konstantin Ziegler:
Global and Local Feature Learning for Ego-Network Analysis. - Reza Khalilisenobari, Javad Sadeh:
Electrical Machines Fault Detection through Frequency Response Analysis (FRA) - Part I: Stator. - Yuwen Li, Ludmil T. Zikatanov:
A posteriori error estimates of finite element methods by preconditioning. - Chiranjib Sur:
Gaussian Smoothen Semantic Features (GSSF) - Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework. - Constantinos Daskalakis, Maxwell Fishelson, Brendan Lucier, Vasilis Syrgkanis, Santhoshini Velusamy:
Simple, Credible, and Approximately-Optimal Auctions. - Guy Davidson, Brenden M. Lake:
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning. - Ping Wang, Minjie Chen:
Performance Limits of Differential Power Processing. - Charles Alexandre Bédard:
Relativity of Depth and Sophistication. - Hossein Boomari Soheila Farokhi:
Computing Boundary Cycle of a Pseudo-Triangle Polygon from its Visibility Graph. - Ahmad Mansour, Khalid Mahmood Malik, Niko Kaso:
AMOUN: Asymmetric lightweight cryptographic scheme for wireless group communication. - Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li, Jingbo Zhu:
Multi-layer Representation Fusion for Neural Machine Translation. - Yeming Wen, Dustin Tran, Jimmy Ba:
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning. - Charles H. Martin, Tongsu Peng, Michael W. Mahoney:
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data. - Oliwier Melon, Mathieu Geisert, David Surovik, Ioannis Havoutis, Maurice F. Fallon:
Reliable Trajectories for Dynamic Quadrupeds using Analytical Costs and Learned Initializations. - Zhenyu Shou, Xuan Di:
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning. - Ralph Abboud, Ismail Ilkan Ceylan, Radoslav Dimitrov:
On the Approximability of Weighted Model Integration on DNF Structures. - Kristóf Bérczi, Endre Boros, Ondrej Cepek, Khaled M. Elbassioni, Petr Kucera, Kazuhisa Makino:
Generating clause sequences of a CNF formula. - Alexandru Serban, George Ilas, George-Cosmin Porusniuc:
SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection. - Yingjie Yin, De Xu, Xingang Wang, Lei Zhang:
Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation. - Zhe Chen, Yunyun Chen, Robert M. Hierons, Yifan Wu:
Four-valued monitorability of ω-regular languages. - Keiichi Morikuni:
Shifted Lanczos method for quadratic forms with Hermitian matrix resolvents. - Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng:
Multiple Flat Projections for Cross-manifold Clustering. - Sepideh Mahabadi, Ali Vakilian:
(Individual) Fairness for k-Clustering. - Yajing Zhou, Zhengchun Zhou, Zilong Liu, Pingzhi Fan, Yong Liang Guan:
Low-PMEPR Preamble Sequence Design for Dynamic Spectrum Allocation in OFDMA Systems. - Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino:
Learning Individually Fair Classifier with Causal-Effect Constraint. - Haris Aziz, Serge Gaspers, Zhaohong Sun, Toby Walsh:
From Matching with Diversity Constraints to Matching with Regional Quotas. - Zhuolin Wang, Keyou You, Shiji Song, Yuli Zhang:
Second-order Conic Programming Approach for Wasserstein Distributionally Robust Two-stage Linear Programs. - Michael S. Payne, Charl J. Ras, Marcus Volz:
Overlaid oriented Voronoi diagrams and the 1-Steiner tree problem. - Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein:
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. - Hongwei Wang, Jure Leskovec:
Unifying Graph Convolutional Neural Networks and Label Propagation. - Xiaoyue Li, Xuerong Mao, Hongfu Yang:
Strong convergence and asymptotic stability of explicit numerical schemes for nonlinear stochastic differential equations. - Hongwei Wang, Hongyu Ren, Jure Leskovec:
Entity Context and Relational Paths for Knowledge Graph Completion. - Yang Gao, Weiyi Zheng, Zhaojun Yang, Thilo Köhler, Christian Fuegen, Qing He:
Interactive Text-to-Speech via Semi-supervised Style Transfer Learning. - Yongming Li, Yan Lei, Pin Wang, Yuchuan Liu:
Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble. - Seth Gilbert, Lawrence Li:
How fast can you update your MST? (Dynamic algorithms for cluster computing). - Natsumi Kikuchi, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Computing Covers under Substring Consistent Equivalence Relations. - Teppei Suzuki:
Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization. - Hirad Assimi, Oscar Harper, Yue Xie, Aneta Neumann, Frank Neumann:
Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives. - Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. - Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang:
Unsupervised Image-generation Enhanced Adaptation for Object Detection in Thermal images. - Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer:
Differentiable Bandit Exploration. - Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. - Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras:
How to 0wn NAS in Your Spare Time. - Takaaki Saeki, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari:
Lifter Training and Sub-band Modeling for Computationally Efficient and High-Quality Voice Conversion Using Spectral Differentials. - Xiong Zheng, Vijay K. Garg:
Byzantine Lattice Agreement in Asynchronous Systems. - Satoshi Kura:
Graded Algebraic Theories. - Katsuhito Nakashima, Noriki Fujisato, Diptarama Hendrian, Yuto Nakashima, Ryo Yoshinaka, Shunsuke Inenaga, Hideo Bannai, Ayumi Shinohara, Masayuki Takeda:
DAWGs for parameterized matching: online construction and related indexing structures. - Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. - Hongming Huang, Peng Cheng, Hong Xu, Yongqiang Xiong:
Simulating Performance of ML Systems with Offline Profiling. - Zhenxing Qian, Zichi Wang, Xinpeng Zhang:
Computing in Covert Domain Using Data Hiding. - Mitsuru Funakoshi, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda, Ayumi Shinohara:
Detecting k-(Sub-)Cadences and Equidistant Subsequence Occurrences. - Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang:
Deep Domain Adaptive Object Detection: a Survey. - Steve Kommrusch, Théo Barollet, Louis-Noël Pouchet:
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model. - Aakansha Mishra, Ashish Anand, Prithwijit Guha:
CQ-VQA: Visual Question Answering on Categorized Questions. - Mohammad Rowshan, Andreas Burg, Emanuele Viterbo:
Polarization-adjusted Convolutional (PAC) Codes: Fano Decoding vs List Decoding. - Wolfgang Fuhl:
Reinforcement learning for the manipulation of eye tracking data. - Avinash Mohan, Shie Mannor, Arman C. Kizilkale:
Price Volatility in Electricity Markets: A Stochastic Control Perspective. - Zhaohui Yang, Yunhe Wang, Chao Xu, Chang Xu:
Discernible Compressed Images via Deep Perception Consistency. - Ran Duan, Yong Gu, Hanlin Ren:
Approximate Distance Oracles Subject to Multiple Vertex Failures. - Minsung Hyun, Jisoo Jeong, Nojun Kwak:
Class-Imbalanced Semi-Supervised Learning. - Pamela K. Douglas, Farzad Vasheghani Farahani:
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples. - Tsung-Han Hsieh, Kai-Hsiang Cheng, Zhe-Cheng Fan, Yu-Ching Yang, Yi-Hsuan Yang:
Addressing the confounds of accompaniments in singer identification. - (Withdrawn) Tools and Techniques for Malware Detection and Analysis.
- Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting. - Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. - Martin Skrodzki, Eric Zimmermann:
Large-Scale Evaluation of Shape-Aware Neighborhood Weights & Neighborhood Sizes. - Ze Shi Li, Colin M. Werner, Neil A. Ernst, Daniela E. Damian:
GDPR Compliance in the Context of Continuous Integration. - Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang:
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories. - Pavel Otta, Ondrej Santin, Vladimír Havlena:
On the Quadratic Programming Solution for Model Predictive Control with Move Blocking. - Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli:
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning. - Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai:
Hierarchical Rule Induction Network for Abstract Visual Reasoning. - Jørgen Svennevik Notland, Jakob Svennevik Notland, Donn Morrison:
The Minimum Hybrid Contract (MHC): Combining legal and blockchain smart contracts. - Diego Antognini, Boi Faltings:
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. - Hongyin Chen, Zhaohua Chen, Yukun Cheng, Xiaotie Deng, Wenhan Huang, Jichen Li, Hongyi Ling, Mengqian Zhang:
An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism. - Diego Antognini, Boi Faltings:
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. - Markus Bause, Marius Paul Bruchhäuser, Uwe Köcher:
Flexible goal-oriented space-time adaptivity for coupled Stokes flow and convection-dominated transport. - Shakila Mahjabin Tonni, Farhad Farokhi, Dinusha Vatsalan, Dali Kaafar:
Data and Model Dependencies of Membership Inference Attack. - Ben Berger, Alon Eden, Michal Feldman:
On the Power and Limits of Dynamic Pricing in Combinatorial Markets. - Teodora Baluta, Zheng Leong Chua, Kuldeep S. Meel, Prateek Saxena:
Scalable Quantitative Verification For Deep Neural Networks. - Swapnil Mishra, Seth R. Flaxman, Samir Bhatt:
πVAE: Encoding stochastic process priors with variational autoencoders. - Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson:
On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor. - Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
A Unified Framework for Reinforcement Learning. - Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, Pierre Vandergheynst:
What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions. - Markus Chimani, Niklas Troost, Tilo Wiedera:
Approximating Multistage Matching Problems. - Mohammadreza Kasaei, Ali Ahmadi, Nuno Lau, Artur Pereira:
A Robust Model-Based Biped Locomotion Framework Based on Three-Mass Model: From Planning to Control. - Terence Broad, Frederic Fol Leymarie, Mick Grierson:
Amplifying The Uncanny. - Tim Hellemans, Benny Van Houdt:
Performance Analysis of Load Balancing Policies with Memory. - Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. - Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko:
An ASP semantics for Constraints involving Conditional Aggregates. - Jasine Babu, Ajay Saju Jacob, R. Krithika, Deepak Rajendraprasad:
A Note on Arc-Disjoint Cycles in Bipartite Tournaments. - Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp:
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank. - Pascal Heid, Thomas P. Wihler:
Adaptive local minimax Galerkin methods for variational problems. - Pedro Cabalar, Martín Diéguez, Torsten Schaub, François Laferrière:
Implementing Dynamic Answer Set Programming. - Thomas Guyet, Philippe Besnard:
Semantics of negative sequential patterns. - Xavier Bost, Vincent Labatut, Georges Linarès:
Serial Speakers: a Dataset of TV Series. - Hamza Khan, Sumudu Samarakoon, Mehdi Bennis:
Enhancing Video Streaming in Vehicular Networks via Resource Slicing. - Tom Mahler, Yuval Elovici, Yuval Shahar:
A New Methodology for Information Security Risk Assessment for Medical Devices and Its Evaluation. - Mahdi Boloursaz Mashhadi, Deniz Gündüz:
Deep Learning for Massive MIMO Channel State Acquisition and Feedback. - Justin Dallant, Patrick Schnider:
Efficiently stabbing convex polygons and variants of the Hadwiger-Debrunner (p, q)-theorem. - Monika Henzinger, Alexander Noe, Christian Schulz, Darren Strash:
Finding All Global Minimum Cuts In Practice. - Taha Sevim, Muhammet Selçuk Güvel, Lale Özkahya:
A Fast Counting Method for 6-motifs with Low Connectivity. - Nathan Heavner, Per-Gunnar Martinsson, Gregorio Quintana-Ortí:
Computing rank-revealing factorizations of matrices stored out-of-core. - Michael Färber, Adam Jatowt:
Citation Recommendation: Approaches and Datasets. - Kunal Pratap Singh, Dahyun Kim, Jonghyun Choi:
Learning Architectures for Binary Networks. - Kristóf Bérczi, Endre Boros, Ondrej Cepek, Petr Kucera, Kazuhisa Makino:
Unique key Horn functions. - Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure Of Deep Neural Networks. - Shant Boodaghians, Federico Fusco, Philip Lazos, Stefano Leonardi:
Pandora's Box Problem with Order Constraints. - Lorenzo Bertizzolo, Emrecan Demirors, Zhangyu Guan, Tommaso Melodia:
CoBeam: Beamforming-based Spectrum Sharing With Zero Cross-Technology Signaling for 5G Wireless Networks. - Ricardo Brito, Alonso Rodríguez-Navarro:
The h index for research assessment: Simple and popular, but shown by mathematical analysis to be inconsistent and misleading. - Ulises Fidalgo, Jacob Olson:
Convergent non complete interpolatory quadrature rules. - Zixin Wen:
Convergence of End-to-End Training in Deep Unsupervised Contrasitive Learning. - Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin:
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. - Robin Quessard, Thomas D. Barrett, William R. Clements:
Learning Group Structure and Disentangled Representations of Dynamical Environments. - Alexander Spiegelman:
In Search for a Linear Byzantine Agreement. - Daniel Neuen:
Hypergraph Isomorphism for Groups with Restricted Composition Factors. - Niansong Zhang, Xiang Chen, Nachiket Kapre:
RapidLayout: Fast Hard Block Placement of FPGA-optimized Systolic Arrays using Evolutionary Algorithms. - Alexandros Dimitrios Keros, Divakaran Divakaran, Kartic Subr:
Jittering Samples using a kd-Tree Stratification. - Inga Berre, Wietse M. Boon, Bernd Flemisch, Alessio Fumagalli, Dennis Gläser, Eirik Keilegavlen, Anna Scotti, Ivar Stefansson, Alexandru Tatomir, Konstantin Brenner, Samuel Burbulla, Philippe R. B. Devloo, Omar Durán, Marco Favino, Julian Hennicker, I-Hsien Lee, Konstantin Lipnikov, Roland Masson, Klaus Mosthaf, Maria Giuseppina Chiara Nestola, Chuen-Fa Ni, Kirill D. Nikitin, Philipp Schädle, Daniil Svyatskiy, Ruslan M. Yanbarisov, Patrick Zulian:
Verification benchmarks for single-phase flow in three-dimensional fractured porous media. - Markus Chimani, Fritz Bökler, Mirko H. Wagner, Tilo Wiedera:
An Experimental Study of ILP Formulations for the Longest Induced Path Problem. - David Samuel, Aditya Ganeshan, Jason Naradowsky:
Meta-learning Extractors for Music Source Separation. - Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata:
Learning Robust Representations via Multi-View Information Bottleneck. - Mingzhe Wang, Jia Deng:
Learning to Prove Theorems by Learning to Generate Theorems. - Chao-Hong Chen, Vikraman Choudhury, Jacques Carette, Amr Sabry:
Fractional Types: Expressive and Safe Space Management for Ancilla Bits. - Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani:
Causal Feature Discovery through Strategic Modification. - Jie Fu, Abhishek Ninad Kulkarni, Huan Luo, Nandi O. Leslie, Charles A. Kamhoua:
Secure-by-synthesis network with active deception and temporal logic specifications. - Kamil Tokmakov, Mitalee Sarker, Jörg Domaschka, Stefan Wesner:
A Case for Data Centre Traffic Management on Software Programmable Ethernet Switches. - Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
Low-Rank Bottleneck in Multi-head Attention Models. - Qilin Li, Wanquan Liu, Ling Li:
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss. - Luca Rosafalco, Andrea Manzoni, Stefano Mariani, Alberto Corigliano:
Fully convolutional networks for structural health monitoring through multivariate time series classification. - Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byungsoo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, Jaewe Heo:
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing. - Hyomin Choi, Robert A. Cohen, Ivan V. Bajic:
Back-and-Forth prediction for deep tensor compression. - Markku-Juhani O. Saarinen:
A Lightweight ISA Extension for AES and SM4. - Abhishek Ninad Kulkarni, Jie Fu:
Synthesis of Deceptive Strategies in Reachability Games with Action Misperception. - Adrian Wildandyawan, Yasuharu Nishi:
Object-based Metamorphic Testing through Image Structuring. - Saeed Ranjbar Alvar, Ivan V. Bajic:
Bit Allocation for Multi-Task Collaborative Intelligence. - Alejandro Grez, Filip Mazowiecki, Michal Pilipczuk, Gabriele Puppis, Cristian Riveros:
The monitoring problem for timed automata. - Marcin Pietron, Maciej Wielgosz:
Retrain or not retrain? - efficient pruning methods of deep CNN networks. - Vanni Noferini, Federico Poloni:
Nearest Ω-stable matrix via Riemannian optimization. - Guy E. Blelloch, Yuanhao Wei:
Concurrent Reference Counting and Resource Management in Wait-free Constant Time. - Pierre Gillibert, Julius Jonusas, Michael Kompatscher, Antoine Mottet, Michael Pinsker:
When symmetries are not enough: a hierarchy of hard Constraint Satisfaction Problems. - Phani Kumar Nyshadham, Mohit Sinha, Biswajit Mishra, H. S. Vijay:
An optimal scheduling architecture for accelerating batch algorithms on Neural Network processor architectures. - Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang:
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. - Ehsan Meamari, Chien-Chung Shen:
Profit from Two Bitcoin Mining Tactics: Towing and Shutdown. - Daniel K. Griffin:
The Big Three: A Methodology to Increase Data Science ROI by Answering the Questions Companies Care About. - Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
Scalable Dyadic Independence Models with Local and Global Constraints. - Christian Hensel, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann, Matthias Volk:
The Probabilistic Model Checker Storm. - Daniel Flam-Shepherd, Tony C. Wu, Alán Aspuru-Guzik:
Graph Deconvolutional Generation. - Ryan Feng, Jiefeng Chen, Nelson R. Manohar, Earlence Fernandes, Somesh Jha, Atul Prakash:
Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification. - Shuowen Zhang, Rui Zhang:
Intelligent Reflecting Surface Aided Multiple Access: Capacity Region and Deployment Strategy. - Muhammad Amjad, Leila Musavian, Sonia Aïssa:
Effective Capacity of NOMA with Finite Blocklength for Low-Latency Communications. - Chin-Wei Huang, Laurent Dinh, Aaron C. Courville:
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models. - Ankur Bapna, Naveen Arivazhagan, Orhan Firat:
Controlling Computation versus Quality for Neural Sequence Models. - Muhammad Umer, Glenn Dawson, Robi Polikar:
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks. - Alaa E. Abdel-Hakim, Wael A. Deabes:
Handling Missing Annotations in Supervised Learning Data. - Sophie Fortz, Fred Mesnard, Étienne Payet, Gilles Perrouin, Wim Vanhoof, Germán Vidal:
An SMT-Based Concolic Testing Tool for Logic Programs. - Simon S. Du, Jason D. Lee, Gaurav Mahajan, Ruosong Wang:
Agnostic Q-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity. - Mamdouh Alenezi, Mohammad Zarour:
On the Relationship between Software Complexity and Security. - Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang:
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations. - Bolong Zhang, Michael Mascagni:
Pass-Efficient Randomized LU Algorithms for Computing Low-Rank Matrix Approximation. - Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Subset Sampling For Progressive Neural Network Learning. - James Dunham, Jennifer Melot, Dewey A. Murdick:
Identifying the Development and Application of Artificial Intelligence in Scientific Text. - Sai Sidhardh, Sansit Patnaik, Fabio Semperlotti:
Geometrically Nonlinear Response of a Fractional-Order Nonlocal Model of Elasticity. - Abu Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Stephen G. Kobourov, Richard Spence:
Weighted Additive Spanners. - Yulin Zhang, Dylan A. Shell:
Cover Combinatorial Filters and their Minimization Problem. - Wei Wang, Shiyue He, Qian Zhang, Tao Jiang:
Enabling Low-Power OFDM for IoT by Exploiting Asymmetric Clock Rates. - Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Xu Wen, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye:
AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite. - Thomas Fernique, Nicolas Bédaride:
Density of Binary Compact Disc Packings. - Shirli Di-Castro Shashua, Shie Mannor:
Kalman meets Bellman: Improving Policy Evaluation through Value Tracking. - Koosha Zarei, Reza Farahbakhsh, Noël Crespi:
How Impersonators Exploit Instagram to Generate Fake Engagement? - Umut Can Çabuk, Eylul Adiguzel, Enis Karaarslan:
A Survey on Feasibility and Suitability of Blockchain Techniques for the E-Voting Systems. - Ghassan Samara, Ghadeer Al Besani, Mohammad Alauthman, Mohammad Al Khaldy:
Energy-Efficiency Routing algorithms in Wireless Sensor Networks: a Survey. - Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning with Prior Knowledge. - Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. - Md. Zamilur Rahman, Asish Mukhopadhyay:
Semi-dynamic Algorithms for Strongly Chordal Graphs. - Eshan Chattopadhyay, Jyun-Jie Liao:
Optimal Error Pseudodistributions for Read-Once Branching Programs. - Pedro Paredes:
Spectrum preserving short cycle removal on regular graphs. - Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang:
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. - Ali Heydarigorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage. - Boaz Barak, Raphaëlle Crubillé, Ugo Dal Lago:
On Higher-Order Cryptography (Long Version). - Wei-Chang Yeh:
Convolutional Support Vector Machine. - Almaha Abuzuraiq, Mouhammd Alkasassbeh, Mohammad Almseidin:
Intelligent Methods for Accurately Detecting Phishing Websites. - Garrett Bingham, William Macke, Risto Miikkulainen:
Evolutionary Optimization of Deep Learning Activation Functions. - Zheng Li, Chencheng Ye, Ying Cui, Sheng Yang, Shlomo Shamai:
Rate Splitting for Multi-Antenna Downlink: Precoder Design and Practical Implementation. - Yu Yin, Songyao Jiang, Joseph P. Robinson, Yun Fu:
Dual-Attention GAN for Large-Pose Face Frontalization. - Jason Lee, Dustin Tran, Orhan Firat, Kyunghyun Cho:
On the Discrepancy between Density Estimation and Sequence Generation. - Sumegha Garg, Pravesh K. Kothari, Ran Raz:
Time-Space Tradeoffs for Distinguishing Distributions and Applications to Security of Goldreich's PRG. - Kourosh Hakhamaneshi, Keertana Settaluri, Pieter Abbeel, Vladimir Stojanovic:
GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction. - Woo Seong Jo, Jaehyuk Park, Arthur Luhur, Beom Jun Kim, Yong-Yeol Ahn:
Extracting hierarchical backbones from bipartite networks. - Jörg Schlötterer, Martin Wehking, Fatemeh Salehi Rizi, Michael Granitzer:
Investigating Extensions to Random Walk Based Graph Embedding. - Jason P. Bell:
The upper density of an automatic set is rational. - Fuhong Xie, Catie McEntee, Mingzhi Zhang, Ning Lu, Xinda Ke, Mallikarjuna R. Vallem, Nader Samaan:
An Networked HIL Simulation System for Modeling Large-scale Power Systems. - Mostafa ElAraby, Guy Wolf, Margarida Carvalho:
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming. - Norman Danner, Daniel R. Licata:
Denotational semantics as a foundation for cost recurrence extraction for functional languages. - Yu Liu, Jie Li, Qingsen Yan, Xia Yuan, Chunxia Zhao, Ian D. Reid, Cesar Cadena:
3D Gated Recurrent Fusion for Semantic Scene Completion. - Anton Rakitskiy, Boris Ryabko:
Information Theory as a Means of Determining the Main Factors Affecting the Processors Architecture. - Dhananjay Raju, Rüdiger Ehlers, Ufuk Topcu:
Playing Against Opponents With Limited Memory. - Udi Boker, Denis Kuperberg, Karoliina Lehtinen, Michal Skrzypczak:
On Succinctness and Recognisability of Alternating Good-for-Games Automata. - Marieke Huisman, Dilian Gurov, Alexander Malkis:
Formal Methods: From Academia to Industrial Practice. A Travel Guide. - Vikranth Dwaracherla, Benjamin Van Roy:
Langevin DQN. - Frank Kammer, Andrej Sajenko:
Sorting and Ranking of Self-Delimiting Numbers with Applications to Tree Isomorphism. - Chi Zhang, Yan-Hao Chen, Yuwei Jin, Wonsun Ahn, Youtao Zhang, Eddy Z. Zhang:
A Depth-Aware Swap Insertion Scheme for the Qubit Mapping Problem. - Yanan Li, Jonathan Eden, Gerolamo Carboni, Etienne Burdet:
Improving Tracking through Human-Robot Sensory Augmentation. - Mikhail A. Raskin:
Constructive expressive power of population protocols. - Ke M. Tran:
From English To Foreign Languages: Transferring Pre-trained Language Models. - Ross Horne, Sjouke Mauw:
Discovering ePassport Vulnerabilities using Bisimilarity. - Ali Parsa Sirat, Niloofar Zendehdel:
A New Approach in Optimal Control of Step-Down Converters Based on a Switch-State Controller. - Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks. - Yang Liu, Mingxin Chen, Wenxi Zhang, Junbo Zhang, Yu Zheng:
Federated Extra-Trees with Privacy Preserving. - Yinfei Xu, Xuan Guang, Jian Lu, Jun Chen:
Vector Gaussian Successive Refinement With Degraded Side Information. - Arash Kalatian, Bilal Farooq:
Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning. - Yash Kanoria, Hamid Nazerzadeh:
Dynamic Reserve Prices for Repeated Auctions: Learning from Bids. - Luwei Yang, Tao Liu, Zhiyuan Tang, David J. Hill:
Distributed Optimal Generation and Load-Side Control for Frequency Regulation in Power Systems. - Victor Lecomte, Gergely Ódor, Patrick Thiran:
Noisy source location on a line. - Yujia Xie, Tianyi Zhou, Yi Mao, Weizhu Chen:
Conditional Self-Attention for Query-based Summarization. - Fusataka Kuniyoshi, Kohei Makino, Jun Ozawa, Makoto Miwa:
Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature. - He Chen, Qian Wang, Parthajit Mohapatra, Nikolaos Pappas:
Secure Status Updates under Eavesdropping: Age of Information-based Physical Layer Security Metrics. - Haojun Yang, Kuan Zhang, Kan Zheng, Yi Qian:
Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks. - Sai Satwik Kuppili, Bhadrachalam Chitturi:
An Upper Bound for Sorting Rn with LRE. - Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Adaptive Region-Based Active Learning. - Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong Li:
Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection. - Haojun Yang, Kuan Zhang, Kan Zheng, Yi Qian:
Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultra-Reliable and Low-Latency IoT Control Systems. - Yanjun Pan, Yao Zheng, Ming Li:
ROBin: Known-Plaintext Attack Resistant Orthogonal Blinding via Channel Randomization. - Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Qi Tian:
Constraining Temporal Relationship for Action Localization. - Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni:
Multi-Task Learning from Videos via Efficient Inter-Frame Attention. - Ehsan Emamjomeh-Zadeh, Yannai A. Gonczarowski, David Kempe:
The Complexity of Interactively Learning a Stable Matching by Trial and Error. - Xiao Shen, Quanyu Dai, Fu-Lai Chung, Wei Lu, Kup-Sze Choi:
Adversarial Deep Network Embedding for Cross-network Node Classification. - Yu Zhang, Xin Sun, Junyu Dong, Changrui Chen, Yue Shen:
High-Order Paired-ASPP Networks for Semantic Segmenation. - Mohammed Usman, John Dunlop:
Impact of Fountain Codes on GPRS channels. - Sankalp Garg, Aniket Bajpai, Mausam:
Generalized Neural Policies for Relational MDPs. - Chaoqi Wang, Guodong Zhang, Roger Baker Grosse:
Picking Winning Tickets Before Training by Preserving Gradient Flow. - Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos:
DISCO: Double Likelihood-free Inference Stochastic Control. - Weikun Chen, Ya-Feng Liu, Antonio De Domenico, Zhi-Quan Luo:
Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency. - Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, Tetsunari Inamura:
Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model. - Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue:
Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks. - Junnan Li, Richard Socher, Steven C. H. Hoi:
DivideMix: Learning with Noisy Labels as Semi-supervised Learning. - Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu:
Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. - Amit Daniely, Eran Malach:
Learning Parities with Neural Networks. - Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou:
Updates-Aware Graph Pattern based Node Matching. - Alexander Hentschel, Yahya Hassanzadeh-Nazarabadi, Ramtin Seraj, Dieter Shirley, Layne Lafrance:
Flow: Separating Consensus and Compute - Block Formation and Execution. - Yao Qin, Nicholas Frosst, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton:
Deflecting Adversarial Attacks. - Ata Khalili, Mohammad Robat Mili, Derrick Wing Kwan Ng:
Performance Trade-off Between Uplink and Downlink in Full-Duplex Communications. - Chaoqi Yang, Junwei Lu, Xiaofeng Gao, Haishan Liu, Qiong Chen, Gongshen Liu, Guihai Chen:
MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding. - Amir Abboud, Shon Feller, Oren Weimann:
On the Fine-Grained Complexity of Parity Problems. - Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li:
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. - Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng:
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. - Mikhail A. Kudinov, Evgeniy O. Kiktenko, Aleksey K. Fedorov:
Security analysis of the W-OTS+ signature scheme: Updating security bounds. - Santiago Ontañón:
An Overview of Distance and Similarity Functions for Structured Data. - Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li:
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement. - Cheng Zhang, Qiuchi Li, Lingyu Hua, Dawei Song:
Assessing the Memory Ability of Recurrent Neural Networks. - Sheng Shi, Xinfeng Zhang, Wei Fan:
A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation. - Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang:
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning. - Bestoun S. Ahmed, Eduard Enoiu, Wasif Afzal, Kamal Z. Zamli:
An Evaluation of Monte Carlo-Based Hyper-Heuristic for Interaction Testing of Industrial Embedded Software Applications. - Alexander Kozachinskiy, Vladimir V. Podolskii:
Multiparty Karchmer-Wigderson Games and Threshold Circuits. - Dominik Grzelak, Barbara Priwitzer, Uwe Aßmann:
Generating random bigraphs with preferential attachment. - Yucheng Ding, Chaoyue Niu, Yikai Yan, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Rongfei Jia:
Distributed Optimization over Block-Cyclic Data. - Yuze Zhao:
A New Clustering neural network for Chinese word segmentation. - Mi-Song Dupuy, Gero Friesecke:
Inversion symmetry of singular values and a new orbital ordering method in tensor train approximations for quantum chemistry. - Andrea Pietracaprina, Geppino Pucci, Federico Soldà:
Coreset-based Strategies for Robust Center-type Problems. - Jihua Zhu, Jing Zhang, Zhongyu Li:
Registration of multi-view point sets under the perspective of expectation-maximization. - George Christodoulou, Martin Gairing, Yiannis Giannakopoulos, Diogo Poças, Clara Waldmann:
Existence and Complexity of Approximate Equilibria in Weighted Congestion Games. - Henk F. Moed, Félix de Moya-Anegón, Vicente P. Guerrero-Bote, Carmen López-Illescas:
Are nationally oriented journals indexed in Scopus becoming more international? The effect of publication language and access modality. - Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott:
Knowledge Integration Networks for Action Recognition. - Olga V. Bondarenko, Olena V. Pakhomova, Wlodzimierz Lewoniewski:
The didactic potential of virtual information educational environment as a tool of geography students training. - Pushkar Prakash Arya, Sohom Chakrabarty:
Model based fractional order controller design for process plants satisfying desired robustness criteria. - Eduardo Faccin Vernier, Rafael Garcia, Iron Prando da Silva, João Luiz Dihl Comba, Alexandru C. Telea:
Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques. - Romain Jacob, Licong Zhang, Marco Zimmerling, Samarjit Chakraborty, Lothar Thiele:
The Time-Triggered Wireless Architecture. - Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho:
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images. - Caroline Barbieri, Claudio Moraga:
On the Complexity of the Cycles based Synthesis of Ternary Reversible Circuits. - John W. Barrett, Klaus Deckelnick, Vanessa Styles:
A Practical Phase Field Method for an Elliptic Surface PDE. - Hatem Khalloof, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer:
A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics. - Sayan Tripathi, Jhilam Jana, Jaydeb Bhaumik:
Design of SEC-DED and SEC-DED-DAEC Codes of different lengths. - Rodrigo R. Barbieri, Enrique S. dos Santos, Gustavo M. D. Vieira:
Decentralized Validation for Non-malicious Arbitrary Fault Tolerance in Paxos. - Byeongchang Kim, Jaewoo Ahn, Gunhee Kim:
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. - Weiguo Wang, Hui Li, Yanguo Peng, Sourav S. Bhowmick, Peng Chen, Xiaofeng Chen, Jiangtao Cui:
An Efficient Secure Dynamic Skyline Query Model. - Guntur Dharma Putra, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT. - Andrea Asperti, Matteo Trentin:
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders. - William B. Mingardi, Gustavo M. D. Vieira:
Characterizing Synchronous Writes in Stable Memory Devices. - Han Yang, Xiao Yan, Xinyan Dai, James Cheng:
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. - Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling:
Gradient 𝓁1 Regularization for Quantization Robustness. - Yann Lifchitz, Yannis Avrithis, Sylvaine Picard:
Few-Shot Few-Shot Learning and the role of Spatial Attention. - Hana Mizerová, Bangwei She:
Convergence and error estimates for a finite difference scheme for the multi-dimensional compressible Navier-Stokes system. - Shuoheng Yang, Yuxin Wang, Xiaowen Chu:
A Survey of Deep Learning Techniques for Neural Machine Translation. - Piotr Kicki, Mete Ozay, Piotr Skrzypczynski:
A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups. - Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq:
Improved Optimistic Algorithms for Logistic Bandits. - Praveenram Balachandar, Konstantinos P. Michmizos:
A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head. - Georg von Zengen, Jingjin Yu, Lars C. Wolf:
Adaptive Real-Time Scheduling for Cooperative Cyber-Physical Systems. - Oded Naor, Idit Keidar:
Expected Linear Round Synchronization: The Missing Link for Linear Byzantine SMR. - Neelesh Kumar, Konstantinos P. Michmizos:
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots. - Béatrice Bérard, Benedikt Bollig, Patricia Bouyer, Matthias Függer, Nathalie Sznajder:
Synthesis in Presence of Dynamic Links. 33-49 - Qingbiao Li, Chunhua Wu, Kangfeng Zheng, Zhe Wang:
Hierarchical Transformer Network for Utterance-level Emotion Recognition. - Peter Sanders:
Connecting MapReduce Computations to Realistic Machine Models. - Gitte Kremling, Robert Speck:
Convergence analysis of multi-level spectral deferred corrections. - Denis Kuperberg, Jan Martens:
Regular resynchronizability of origin transducers is undecidable. - Rance Cleaveland:
Better Automata through Process Algebra. - Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Taymaz Rahkar-Farshi, Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Mehrdad Ranjbar-Khadivi, Elnaz Zafarani-Moattar, Mohammad Ali Balafar:
A Model to Measure the Spread Power of Rumors. - Zhijie Ren, Ziheng Zhou:
SURFACE: A Practical Blockchain Consensus Algorithm for Real-World Networks. - Till Fluschnik, Rolf Niedermeier, Carsten Schubert, Philipp Zschoche:
Multistage s-t Path: Confronting Similarity with Dissimilarity. - Shaolong Sun, Dongchuan Yang, Gengzhong Feng, Ju'e Guo:
AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting. - René Peinl, Tobias Wirth:
Presence in VR experiences - an empirical cost-benefit-analysis. - Indika Kumara, Jun Han, Alan Colman, Willem-Jan van den Heuvel, Damian A. Tamburri, Malinda Kapuruge:
SDSN@RT: a middleware environment for single-instance multi-tenant cloud applications. - Shimaa Naser, Lina Bariah, Sami Muhaidat, Paschalis C. Sofotasios, Wael Jaafar, Mahmoud Al-Qutayri, Octavia A. Dobre:
Optical Rate-Splitting Multiple Access for Visible Light Communications. - Alon Rashelbach, Ori Rottenstreich, Mark Silberstein:
A Computational Approach to Packet Classification. - Qingbiao Li, Chunhua Wu, Kangfeng Zheng:
Text Classification with Lexicon from PreAttention Mechanism. - Alaa Awad Abdellatif, Carla-Fabiana Chiasserini, Francesco Malandrino:
Active Learning-based Classification in Automated Connected Vehicles. - Ali Bulut Üçüncü, Emil Björnson, Håkan Johansson, Erik G. Larsson, Ali Özgür Yilmaz:
Performance Analysis of Quantized Uplink Massive MIMO-OFDM With Oversampling Under Adjacent Channel Interference. - Sébastien Bubeck, Thomas Budzinski:
Coordination without communication: optimal regret in two players multi-armed bandits. - Chengping Rao, Yang Liu:
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization. - Yi Wei, Ming-Min Zhao, Min-Jian Zhao, Ming Lei:
ADMM-based Decoder for Binary Linear Codes Aided by Deep Learning. - Gabriele Boncoraglio, Charbel Farhat, Charbel Bou-Mosleh:
Model Reduction Framework with a New Take on Active Subspaces for Optimization Problems with Linearized Fluid-Structure Interaction Constraints. - Maël Guiraud, Yann Strozecki:
Scheduling periodic messages on a shared link. - Eduard Eiben, Fedor V. Fomin, Fahad Panolan, Kirill Simonov:
Manipulating Districts to Win Elections: Fine-Grained Complexity. - Chandni Saxena, Tanvir Ahmad:
Tie Strength in Online Social Networks and its Applications: A Brief Study. - Sujoy Bhore, Guangping Li, Martin Nöllenburg:
Independent Sets of Dynamic Rectangles: Algorithms and Experiments. - Fedor V. Fomin, Danil Sagunov, Kirill Simonov:
Building large k-cores from sparse graphs. - Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. - Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi:
Topology Optimization with Accessibility Constraint for Multi-Axis Machining. - Hanwei Wu, Ather Gattami, Markus Flierl:
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting. - Michael Norris, Z. Berkay Celik, Patrick D. McDaniel, Gang Tan, Prasanna Venkatesh Rengasamy, Shulin Zhao, Anand Sivasubramaniam:
IoTRepair: Systematically Addressing Device Faults in Commodity IoT (Extended Paper). - S. A. Berezin, V. M. Volkova:
Neural arbitrary style transfer for portrait images using the attention mechanism. - Lum Ramabaja, Arber Avdullahu:
Compact Merkle Multiproofs. - Mohamad Ahmadi, Fabian Kuhn:
Distributed Maximum Matching Verification in CONGEST. - Abhishek Sharma:
Listwise Learning to Rank with Deep Q-Networks. - Sean Tull, Johannes Kleiner:
Integrated Information in Process Theories. - Yi-Jun Chang, Jan Studený, Jukka Suomela:
Distributed graph problems through an automata-theoretic lens. - Paul C. Bell, Pavel Semukhin:
Decidability of cutpoint isolation for letter-monotonic probabilistic finite automata. - Milan Hladík:
On unbounded directions of linear interval parametric systems and their extensions to AE solutions. - Niels Ole Salscheider:
FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings. - Marius Bozga, Javier Esparza, Radu Iosif, Joseph Sifakis, Christoph Welzel:
Structural Invariants for the Verification of Systems with Parameterized Architectures. - Paul M. B. Viányi:
How incomputable is Kolmogorov complexity? - Claire Lazar, Suhas Vijaykumar:
A Resolution in Algorithmic Fairness: Calibrated Scores for Fair Classifications. - Pratibha Balaji, Shruthi Narayan, Durga Sraddha, Bharath K. P, Karthik R, Rajesh Kumar Muthu:
Performance Analysis of Adaptive Noise Cancellation for Speech Signal. - Karima Ennaoui, Khaled Maafa, Lhouari Nourine:
Representations for the largest Extension of a closure system. - Arne P. Raulf, Joshua Butke, Lukas Menzen, Claus Küpper, Frederik Großerüschkamp, Klaus Gerwert, Axel Mosig:
Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples. - Ashish Chiplunkar, Sagar Sudhir Kale, Sivaramakrishnan Natarajan Ramamoorthy:
How to Solve Fair k-Center in Massive Data Models. - Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori:
A Lagrangian Approach to Information Propagation in Graph Neural Networks. - Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alexander M. Bronstein, Uri C. Weiser:
Robust Quantization: One Model to Rule Them All. - Zhichuang Sun, Ruimin Sun, Long Lu:
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps. - Patrick Hübner, Martin Weinmann, Sven Wursthorn:
Voxel-Based Indoor Reconstruction From HoloLens Triangle Meshes. - Hamdi Joudeh, Eleftherios Lampiris, Petros Elia, Giuseppe Caire:
Fundamental Limits of Wireless Caching Under Mixed Cacheable and Uncacheable Traffic. - Riccardo Dondi, Danny Hermelin:
Computing the k Densest Subgraphs of a Graph. - Oren Barkan, Ori Katz, Noam Koenigstein:
Neural Attentive Multiview Machines. - Jan Kessler, Jens M. Schmidt:
Dynamics of Cycles in Polyhedra I: The Isolation Lemma. - Alphan Sahin, David W. Matolak:
Golay Layer: Limiting Peak-to-Average Power Ratio for OFDM-based Autoencoders. - Ujwal Bonde, Pablo F. Alcantarilla, Stefan Leutenegger:
Towards Bounding-Box Free Panoptic Segmentation. - Dawid Przyczyna, Piotr Zawal, Tomasz Mazur, Pier Luigi Gentili, Konrad Szacilowski:
In-materio neuromimetic devices: Dynamics, information processing and pattern recognition. - Amin Abolghasemi, Saeedeh Momtazi:
Neural Relation Prediction for Simple Question Answering over Knowledge Graph. - Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Network. - R. C. Gonzalez, Erivelton G. Nepomuceno:
Image encryption based on flexible computing of chaotic systems. - Tiago Novello, João Paixão, Carlos Tomei, Thomas Lewiner:
Discrete Line Fields on Surfaces. - Kevin Meng, Damian Jimenez, Fatma Arslan, Jacob Daniel Devasier, Daniel Obembe, Chengkai Li:
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims. - Lee-Ad Gottlieb, Robert Krauthgamer, Havana Rika:
Faster Algorithms for Orienteering and k-TSP. - Yi Su, Pavithra Srinath, Akshay Krishnamurthy:
Adaptive Estimator Selection for Off-Policy Evaluation. - Esteban García-Cuesta:
Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal. - Samuel Yeom, Matt Fredrikson:
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness. - Pál András Papp, Roger Wattenhofer:
Default Ambiguity: Finding the Best Solution to the Clearing Problem. - Jana Cslovjecsek, Friedrich Eisenbrand, Robert Weismantel:
N-fold integer programming via LP rounding. - Max A. Deppert, Klaus Jansen, Kim-Manuel Klein:
Fuzzy Simultaneous Congruences. - Sebastian A. Henningsen, Martin Florian, Sebastian Rust, Björn Scheuermann:
Mapping the Interplanetary Filesystem. - Buddhika Chamith, Xiaozhu Meng, Ryan Newton:
ShadowGuard : Optimizing the Policy and Mechanism of Shadow Stack Instrumentation using Binary Static Analysis. - Zhen Chen, Zhuqing Jia, Zhiying Wang, Syed Ali Jafar:
GCSA Codes with Noise Alignment for Secure Coded Multi-Party Batch Matrix Multiplication. - Prasanth Chatarasi, Hyoukjun Kwon, Natesh Raina, Saurabh Malik, Vaisakh Haridas, Tushar Krishna, Vivek Sarkar:
MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators. - Elena Limonova, Alexander Sheshkus, Dmitry P. Nikolaev:
Computational optimization of convolutional neural networks using separated filters architecture. - Morteza Haghir Chehreghani:
Hierarchical Correlation Clustering and Tree Preserving Embedding. - Nan Jiang, Yansha Deng, Arumugam Nallanathan:
Traffic Prediction and Random Access Control Optimization: Learning and Non-learning based Approaches. - Andreas Emil Feldmann, Davis Issac, Ashutosh Rai:
Fixed-Parameter Tractability of the Weighted Edge Clique Partition Problem. - Jean-Philippe Abegg, Quentin Bramas, Thomas Noël:
Blockchain using Proof-of-Interaction. - Sebastian Baltes, Paul Ralph:
Sampling in Software Engineering Research: A Critical Review and Guidelines. - Alexander Camuto, Matthew Willetts, Brooks Paige, Chris C. Holmes, Stephen J. Roberts:
Learning Bijective Feature Maps for Linear ICA. - Wonjin Yoon, Yoon Sun Yeo, Minbyul Jeong, Bong-Jun Yi, Jaewoo Kang:
Learning by Semantic Similarity Makes Abstractive Summarization Better. - Julián Estévez, J. Dominguez, Manuel Graña:
Relationship between the visibility of political leaders during campaign and the outcome in general elections. A case study for Spain. - Fatma Qatan, Issam W. Damaj:
High-speed KATAN Ciphers on-a-Chip. - John Toman, Ren Siqi, Kohei Suenaga, Atsushi Igarashi, Naoki Kobayashi:
ConSORT: Context- and Flow-Sensitive Ownership Refinement Types for Imperative Programs. - Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder:
The Tree Ensemble Layer: Differentiability meets Conditional Computation. - Jeena Kleenankandy, K. A. Abdul Nazeer:
An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies. - Alina Ene:
A note on maximizing the difference between a monotone submodular function and a linear function. - Davin Choo, Christoph Grunau, Julian Portmann, Václav Rozhon:
k-means++: few more steps yield constant approximation. - Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher:
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. - Ho-Chun Herbert Chang:
Multi-Issue Bargaining With Deep Reinforcement Learning. - Oriol Ramos Terrades, Albert Berenguel, Debora Gil:
A flexible outlier detector based on a topology given by graph communities. - Zihang Lai, Erika Lu, Weidi Xie:
MAST: A Memory-Augmented Self-supervised Tracker. - Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi:
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs. - Anthony Bonato, Konstantinos Georgiou, Calum MacRury, Pawel Pralat:
Probabilistically Faulty Searching on a Half-Line. - Pratibha Choudhary:
Polynomial Time Algorithms for Tracking Path Problems. - Krzysztof Nowicki, Krzysztof Onak:
Dynamic Graph Algorithms with Batch Updates in the Massively Parallel Computation Model. - Ehsan Meamari, Hao Guo, Chien-Chung Shen, Junbeom Hur:
Collusion Attacks on Decentralized Attributed-Based Encryption: Analyses and a Solution. - Iliya Bouyukliev, Stefka Bouyuklieva, Sascha Kurz:
Computer classification of linear codes. - Michelle Chernick, Simone D'Amico:
Closed-Form Optimal Impulsive Control of Spacecraft Relative Motion Using Reachable Set Theory. - Dhivya Eswaran, Srijan Kumar, Christos Faloutsos:
Higher-Order Label Homogeneity and Spreading in Graphs. - Kaiyi Ji, Junjie Yang, Yingbin Liang:
Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms. - Sihao Sun, Xuerui Wang, Qiping Chu, Coen de Visser:
Incremental Nonlinear Fault-Tolerant Control of a Quadrotor with Complete Loss of Two Opposing Rotors. - Stephen Moskal, Shanchieh Jay Yang:
Cyberattack Action-Intent-Framework for Mapping Intrusion Observables. - Blake E. Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro:
Is Local SGD Better than Minibatch SGD? - Adrian Dumitrescu, Anirban Ghosh, Csaba D. Tóth:
Sparse Hop Spanners for Unit Disk Graphs. - Nedra Benletaief, Houria Rezig, Ammar Bouallegue:
Performance of a reconciliation method operating on a discreet quantum key distribution system. - Cynthia Rush, Kuan Hsieh, Ramji Venkataramanan:
Capacity-achieving Spatially Coupled Sparse Superposition Codes with AMP Decoding. - Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Transfer Learning for Abstractive Summarization at Controllable Budgets. - Sergey Loyka:
The Capacity and Optimal Signaling for Gaussian MIMO Channels Under Interference Constraints (full version). - Shervin Roshanisefat, Hadi Mardani Kamali, Kimia Zamiri Azar, Sai Manoj Pudukotai Dinakarrao, Naghmeh Karimi, Houman Homayoun, Avesta Sasan:
DFSSD: Deep Faults and Shallow State Duality, A Provably Strong Obfuscation Solution for Circuits with Restricted Access to Scan Chain. - Art B. Owen:
A strong law of large numbers for scrambled net integration. - Georg Kohl, Kiwon Um, Nils Thuerey:
Learning Similarity Metrics for Numerical Simulations. - Quynh Nguyen, Marco Mondelli:
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology. - Mouhyemen Khan, Abhijit Chatterjee:
Online Parameter Estimation for Safety-Critical Systems with Gaussian Processes. - Rajanie Prabha, Manu Tom, Mathias Rothermel, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler:
Lake Ice Monitoring with Webcams and Crowd-Sourced Images. - Subhadip Maji, Smarajit Bose:
CBIR using features derived by Deep Learning. - Shukai Du, Francisco-Javier Sayas:
A note on devising HDG+ projections on polyhedral elements. - Luis Torres-Figueroa, Henning F. Schepker, Josef Jiru:
QoS Evaluation and Prediction for C-V2X Communication in Commercially-Deployed LTE and Mobile Edge Networks. - Weimao Ke:
DLITE: The Discounted Least Information Theory of Entropy. - Xiang Yan, Yiling Chen:
Strategyproof Facility Location Mechanisms with Richer Action Spaces. - Yongyong Wei, Rong Zheng:
Informative Path Planning for Mobile Sensing with Reinforcement Learning. - Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin:
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. - Matteo Böhm, Adriano Fazzone, Stefano Leonardi, Chris Schwiegelshohn:
Fair Clustering with Multiple Colors. - Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. - (Withdrawn) Trust Repairing for Human-Swarm Cooperation inDynamic Task Response.
- Michael Luby:
Repair rate lower bounds for distributed storage. - Daniel Vial, Vijay G. Subramanian:
Empirical Policy Evaluation with Supergraphs. - Wei Zhang, Thomas Kobber Panum, Somesh Jha, Prasad Chalasani, David Page:
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods. - Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull:
Generating Automatic Curricula via Self-Supervised Active Domain Randomization. - Robert Vicari:
Simplex based Steiner tree instances yield large integrality gaps for the bidirected cut relaxation. - Siddhartha Jain, Ge Liu, David K. Gifford:
Information Condensing Active Learning. - Nima Noorshams, Saurabh Verma, Aude Hofleitner:
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook. - Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
Block Switching: A Stochastic Approach for Deep Learning Security. - Mehrdad Farahani, Marzieh Farahani, Mohammad Manthouri, Okyay Kaynak:
Short-Term Traffic Flow Prediction Using Variational LSTM Networks. - Ming-Deh A. Huang:
Algebraic blinding and cryptographic trilinear maps. - Sashank Santhanam, Alireza Karduni, Samira Shaikh:
Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents. - Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan:
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights. - Reza Mirzazade Farkhani, Mansour Ahmadi, Long Lu:
PTAuth: Temporal Memory Safety via Robust Points-to Authentication. - Vivek Jayaram, John Thickstun:
Source Separation with Deep Generative Priors. - Beniamino Accattoli, Alejandro Díaz-Caro:
Functional Pearl: The Distributive λ-Calculus. - Haitao Wang:
On the Planar Two-Center Problem and Circular Hulls. - Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Personalized Federated Learning: A Meta-Learning Approach. - Zhengliang Liu, R. Jordan Crouser, Alvitta Ottley:
Survey on Individual Differences in Visualization. - Yisu Remy Wang, Shana Hutchison, Jonathan Leang, Bill Howe, Dan Suciu:
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra. - Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko:
Universal Domain Adaptation through Self Supervision. - Divesh Aggarwal, Yanlin Chen, Rajendra Kumar, Yixin Shen:
Improved (Provable) Algorithms for the Shortest Vector Problem via Bounded Distance Decoding. - Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull:
Curriculum in Gradient-Based Meta-Reinforcement Learning. - Zoubeir Mlika, Soumaya Cherkaoui:
Massive Access in Beyond 5G IoT Networks with NOMA: NP-hardness, Competitiveness and Learning. - Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive Representation Learning on Temporal Graphs. - Taejong Joo, Uijung Chung, Min-Gwan Seo:
Being Bayesian about Categorical Probability. - Mahdi Ebnali, Richard L. Lamb, Razieh Fathi:
Familiarization tours for first-time users of highly automated cars: Comparing the effects of virtual environments with different levels of interaction fidelity. - Tianyi Zhang, Shahrzad Shirzad, Bibek Wagle, Adrian S. Lemoine, Patrick Diehl, Hartmut Kaiser:
Supporting OpenMP 5.0 Tasks in hpxMP - A study of an OpenMP implementation within Task Based Runtime Systems. - Sarkhan Badirli, Xuanqing Liu, Zhengming Xing, Avradeep Bhowmik, Sathiya S. Keerthi:
Gradient Boosting Neural Networks: GrowNet. - Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao:
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. - Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch:
Toward Making the Most of Context in Neural Machine Translation. - Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson:
Interpreting Interpretations: Organizing Attribution Methods by Criteria. - Xi Zheng, Sheng Zhou, Zhisheng Niu:
Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems. - Lan Hu, Haomin Shi, Laurent Kneip:
Globally optimal point set registration by joint symmetry plane fitting. - Jihong Wang, Zhi-Qin John Xu, Jiwei Zhang, Yaoyu Zhang:
Implicit bias with Ritz-Galerkin method in understanding deep learning for solving PDEs. - Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. - Aadirupa Saha, Aditya Gopalan:
Best-item Learning in Random Utility Models with Subset Choices. - Yun-Peng Xiao, Yu-Kun Lai, Fang-Lue Zhang, Chunpeng Li, Lin Gao:
A Survey on Deep Geometry Learning: From a Representation Perspective. - Xudong Li, Yang Hu, Jianhua Zheng, Mingtao Li:
Neural Architecture Search For Fault Diagnosis. - Guanlin Liu, Lifeng Lai:
Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense. - Satoshi Kobayashi, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Fast and linear-time string matching algorithms based on the distances of q-gram occurrences. - Fangda Zhao, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda:
On-line non-overlapping camera calibration net. - Saeed Ibrahim, Nawwaf Al Herami, Ebrahim Al Naqbi, Monther Aldwairi:
Detection and Analysis of Drive-by Downloads and Malicious Websites. - Tsubasa Takahashi:
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. - Ricardo Garcia-Rosas, Denny Oetomo, Chris Manzie, Ying Tan, Peter Choong:
Task-space Synergies for Reaching using Upper-limb Prostheses. - Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. - Minghong Fang, Neil Zhenqiang Gong, Jia Liu:
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. - Minghong Fang, Jia Liu:
Toward Low-Cost and Stable Blockchain Networks. - Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen:
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. - Jianhao Ding, Lansheng Han:
A Fixed point view: A Model-Based Clustering Framework. - Yang Liu, Tom Gedeon, Sabrina B. Caldwell, Shouxu Lin, Zi Jin:
Emotion Recognition Through Observer's Physiological Signals. - Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova:
A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. - Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. - Thilo Strauss, Sanwar Ahmad, Taufiquar Khan:
Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography. - ABM Musa, Jakob Eriksson:
Feasibility of Video-based Sub-meter Localization on Resource-constrained Platforms. - Hai H. Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi:
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation. - Tong Wu, Yuan Xie, Yanyun Qu, Bicheng Dai, Shuxin Chen:
Meta Segmentation Network for Ultra-Resolution Medical Images. - Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher:
Tree-structured Attention with Hierarchical Accumulation. - Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. - Prasant Singh:
Majority Logic Decoding for Certain Schubert Codes Using Lines in Schubert Varieties. - Lukas Balles, Fabian Pedregosa, Nicolas Le Roux:
The Geometry of Sign Gradient Descent. - Patrick Dinklage:
Translating Between Wavelet Tree and Wavelet Matrix Construction. - Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama:
Dissecting Neural ODEs. - Jesper Pedersen, Alexandre Graell i Amat, Jasper Goseling, Fredrik Brännström, Iryna Andriyanova, Eirik Rosnes:
Dynamic Coded Caching in Wireless Networks. - Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang:
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. - Arliones Hoeller, Richard Demo Souza, Samuel Montejo Sánchez, Hirley Alves:
Performance Analysis of Single-Cell Adaptive Data Rate-Enabled LoRaWAN. - Lukasz Garncarek, Rafal Powalski, Tomasz Stanislawek, Bartosz Topolski, Piotr Halama, Filip Gralinski:
LAMBERT: Layout-Aware language Modeling using BERT for information extraction. - Marco D'Amico, Ana Jokanovic, Julita Corbalán:
Holistic Slowdown Driven Scheduling and Resource Management for Malleable Jobs. - Kayode E. Adetunji, Ivan W. Hofsajer, Ling Cheng:
Optimal DG allocation and sizing in power system networks using swarm-based algorithms. - Asaf B. Cassel, Alon Cohen, Tomer Koren:
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. - Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, Hiroki Ozaki:
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. - Xiang Wang, Sifei Liu, Huimin Ma, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning. - Lewis Gudgeon, Daniel Perez, Dominik Harz, Arthur Gervais, Benjamin Livshits:
The Decentralized Financial Crisis: Attacking DeFi. - Martin Florian, Sebastian A. Henningsen, Björn Scheuermann:
The Sum of Its Parts: Analysis of Federated Byzantine Agreement Systems. - Philipp D. Rohde, Maria-Esther Vidal:
Optimizing Federated Queries Based on the Physical Design of a Data Lake. - Pierre Monnin, Miguel Couceiro, Amedeo Napoli, Adrien Coulet:
Knowledge Reconciliation of n-ary Relations. - Romuald A. Janik, Aleksandra Nowak:
Neural Networks on Random Graphs. - Kiran Rokade, Rachel Kalpana Kalaimani:
Distributed computation of optimal weights for consensus using ADMM. - Peter Munch, Katharina Kormann, Martin Kronbichler:
hyper.deal: An efficient, matrix-free finite-element library for high-dimensional partial differential equations. - Will Williams, Sam Ringer, Tom Ash, John Hughes, David MacLeod, Jamie Dougherty:
Hierarchical Quantized Autoencoders. - Subhra Mazumdar, Arindam Pal, Francesco Parisi, V. S. Subrahmanian:
BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation. - Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li:
Randomized Smoothing of All Shapes and Sizes. - Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang:
Offloading and Resource Allocation with General Task Graph in Mobile Edge Computing: A Deep Reinforcement Learning Approach. - Michele Colledanchise, Damiano Malafronte, Lorenzo Natale:
Act, Perceive, and Plan in Belief Space for Robot Localization. - Andreas Krug, Sebastian Stober:
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models. - Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Jianhua Tao, Ye Bai:
Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition. - Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle. - Jeremy Barnes, Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Hierarchical models vs. transfer learning for document-level sentiment classification. - Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera:
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations. - Nanna Inie, Peter Dalsgaard:
How Interaction Designers Use Tools to Manage Ideas. - Avinash Mohan, Aditya Gopalan, Anurag Kumar:
Throughput Optimal Decentralized Scheduling with Single-bit State Feedback for a Class of Queueing Systems. - Baran Tan Bacinoglu, Yin Sun, Elif Uysal:
On the Trackability of Stochastic Processes. - Fleurianne Bertrand, Daniele Boffi:
First order least-squares formulations for eigenvalue problems. - Li You, Ke-Xin Li, Jiaheng Wang, Xiqi Gao, Xiang-Gen Xia, Björn E. Ottersten:
Massive MIMO Transmission for LEO Satellite Communications. - Niels van der Weide:
Constructing Higher Inductive Types as Groupoid Quotients. - Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. - Salvatore Cielo, Luigi Iapichino, Fabio Baruffa, Matteo Bugli, Christoph Federrath:
Honing and proofing Astrophysical codes on the road to Exascale. Experiences from code modernization on many-core systems. - Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz:
Using Hindsight to Anchor Past Knowledge in Continual Learning. - Bogdan Aman, Gabriel Ciobanu:
Imprecise Probability for Multiparty Session Types in Process Algebra. - Martijn Hendriks, Marc Geilen, Kees Goossens, Rob de Jong, Twan Basten:
Interface Modeling for Quality and Resource Management. - Kai Jiang, Xin Wang, Huayi Wei:
High order numerical simulations for the polymer self-consistent field theory using the adaptive virtual element and spectral deferred correction methods. - Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms. - Wolfgang Mulzer, Johannes Obenaus:
The Tree Stabbing Number is not Monotone. - Rajesh Jayaram, David P. Woodruff, Qiuyi Zhang:
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation. - Léo Exibard, Emmanuel Filiot, Pierre-Alain Reynier:
On Computability of Data Word Functions Defined by Transducers. - Lukas Enderich, Fabian Timm, Wolfram Burgard:
SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization. - Henrik J. Putzer, Ernest Wozniak:
A Structured Approach to Trustworthy Autonomous/Cognitive Systems. - B. V. S. Anusha, Sayan Banerjee, Subhasis Chaudhuri:
DeFraudNet: End2End Fingerprint Spoof Detection using Patch Level Attention. - Sebastian Brandt, Dennis Olivetti:
Truly Tight-in-Δ Bounds for Bipartite Maximal Matching and Variants. - Ye-Ji Kim, Dong-Gyu Lee, Seong-Whan Lee:
Three-Stream Fusion Network for First-Person Interaction Recognition. - Christian Krupitzer, Tim Wagenhals, Marwin Züfle, Veronika Lesch, Dominik Schäfer, Amin Mozaffarin, Janick Edinger, Christian Becker, Samuel Kounev:
A Survey on Predictive Maintenance for Industry 4.0. - Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Construction of Behavior Graphs for Uncertain Event Data. - Fedor V. Fomin, Petr A. Golovach:
Subexponential parameterized algorithms and kernelization on almost chordal graphs. - Siddharth Bhandari, Prahladh Harsha:
A note on the explicit constructions of tree codes over polylogarithmic-sized alphabet. - Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin:
Event sequence metric learning. - Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory. - Teeratorn Kadeethum, Thomas M. Jørgensen, Hamidreza M. Nick:
Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot's equations. - Florian Lehner, Christian Lindorfer:
Comparing consecutive letter counts in multiple context-free languages. - Irene Cortés, Jorge Beltrán, Arturo de la Escalera, Fernando García:
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection. - Carol Mak, Luke Ong:
A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation. - Hai Xiao, Jin Shang, Mengyuan Huang:
AI Online Filters to Real World Image Recognition. - Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor:
Optimistic Policy Optimization with Bandit Feedback. - Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar:
Learning Global Transparent Models from Local Contrastive Explanations. - Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu:
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities. - Arliones Hoeller, Jean Michel de Souza Sant'Ana, Juho Markkula, Konstantin Mikhaylov, Richard D. Souza, Hirley Alves:
Beyond 5G Low-Power Wide-Area Networks: A LoRaWAN Suitability Study. - Yonathan Aflalo, Asaf Noy, Ming Lin, Itamar Friedman, Lihi Zelnik-Manor:
Knapsack Pruning with Inner Distillation. - Lukasz Maziarka, Tomasz Danel, Slawomir Mucha, Krzysztof Rataj, Jacek Tabor, Stanislaw Jastrzebski:
Molecule Attention Transformer. - Aman Shenoy, Ashish Sardana:
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation. - Junteng Jia, Austin R. Benson:
Outcome Correlation in Graph Neural Network Regression. - Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu:
When Radiology Report Generation Meets Knowledge Graph. - Maria Albareda-Sambola, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía:
Proceedings of the VI International Workshop on Locational Analysis and Related Problems. - Kartik Suryavanshi, Rama Vadapalli, Praharsha Budharaja, Abhishek Sarkar, Madhava Krishna:
Omnidirectional Three Module Robot Design and Simulation. - Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer:
Variational Encoder-based Reliable Classification. - Marta Baldomero-Naranjo, Inmaculada Espejo-Miranda, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía, Diego Ruiz-Hernández:
Proceedings of the VIII International Workshop on Locational Analysis and Related Problems. - Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu:
MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale. - Hossein Sekhavatmanesh, Rachid Cherkaoui:
A Multi-Step Reconfiguration Model for Active Distribution Network Restoration Integrating DG Start-Up Sequences. - Jip Kim, Robert Mieth, Yury Dvorkin:
Computing a Strategic Decarbonization Pathway: A Chance-Constrained Equilibrium Problem. - Amartya Shankha Biswas, Talya Eden, Quanquan C. Liu, Slobodan Mitrovic, Ronitt Rubinfeld:
Parallel Algorithms for Small Subgraph Counting. - Marta Baldomero-Naranjo, Inmaculada Espejo-Miranda, Luisa I. Martínez-Merino, Juan Manuel Muñoz-Ocaña, Antonio M. Rodríguez-Chía:
Proceedings of the IX International Workshop on Locational Analysis and Related Problems. - Mitchell A. Gordon, Kevin Duh, Nicholas Andrews:
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. - Matthew J. Young, Andrew Belmonte:
Simultaneous games with purchase of randomly supplied perfect information: Oracle Games. - Georgia Pierrou, Xiaozhe Wang:
Online PMU-Based Method for Estimating Dynamic Load Parameters in Ambient Conditions. - Jan Kratochvíl, Tomás Masarík, Jana Novotná:
U-Bubble Model for Mixed Unit Interval Graphs and its Applications: The MaxCut Problem Revisited. - Sumit Purohit, Lawrence B. Holder, George Chin Jr.:
ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks. - Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs. - János Végh:
Re-evaluating scaling methods for distributed parallel systems. - Yue Yang:
An improved nonlinear FastEuler AHRS estimation based on the SVDCKF algorithm. - Dennis Ross, Arunesh Sinha, Diane Staheli, Bill Streilein:
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop 2020. - Magali Bardet, Maxime Bros, Daniel Cabarcas, Philippe Gaborit, Ray A. Perlner, Daniel Smith-Tone, Jean-Pierre Tillich, Javier A. Verbel:
Algebraic attacks for solving the Rank Decoding and MinRank problems without Gröbner basis. - Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
VQA-LOL: Visual Question Answering under the Lens of Logic. - Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao:
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. - Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao:
Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models. - Arthur Guez, Fabio Viola, Théophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess:
Value-driven Hindsight Modelling. - Katsuma Inoue, Kohei Nakajima, Yasuo Kuniyoshi:
Designing spontaneous behavioral switching via chaotic itinerancy. - Caterina Neef, Dario Luipers, Jan Bollenbacher, Christian Gebel, Anja Richert:
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning. - Sophia Drossopoulou, James Noble, Julian Mackay, Susan Eisenbach:
Holistic Specifications for Robust Programs. - Haw-minn Lu, Giancarlo Perrone, José Unpingco:
Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback. - Mihailo Isakov, Michel A. Kinsy:
NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse Networks. - Pedro Hecht:
Algebraic Extension Ring Framework for Non-Commutative Asymmetric Cryptography. - (Withdrawn) Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances.
- Florian Tramèr, Nicholas Carlini, Wieland Brendel, Aleksander Madry:
On Adaptive Attacks to Adversarial Example Defenses. - Ziyuan Liu, Georg von Wichert:
Extracting Semantic Indoor Maps from Occupancy Grids. - Neelesh Kumar, Konstantinos P. Michmizos:
Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots. - Andres Veidenberg, Ari Löytynoja:
Pline: automatic generation of modern web interfaces for command-line programs. - Ugo Dal Lago, Giulio Guerrieri, Willem Heijltjes:
Decomposing Probabilistic Lambda-calculi. - Kaustubh Mani, Swapnil Daga, Shubhika Garg, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
MonoLayout: Amodal scene layout from a single image. - Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller:
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning. - Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Patrick Goebel, Amir Sadeghian, Hamid Rezatofighi, Roberto Martin Martin, Silvio Savarese:
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset. - Ziyuan Liu, Georg von Wichert:
A Generalizable Knowledge Framework for Semantic Indoor Mapping Based on Markov Logic Networks and Data Driven MCMC. - Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai:
Warm Starting Bandits with Side Information from Confounded Data. - Ali Yekkehkhany, Timothy Murray, Rakesh Nagi:
Risk-Averse Equilibrium for Games. - Shriyanti Kulkarni, Vedashree Chaphekar, Md Moin Uddin Chowdhury, Fatih Erden, Ismail Güvenç:
UAV Aided Search and Rescue Operation Using Reinforcement Learning. - Ziyuan Liu, Dong Chen, Kai M. Wurm, Georg von Wichert:
Table-Top Scene Analysis Using Knowledge-Supervised MCMC. - Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, Jun Zhao:
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames. - Hongyu Xiang, Mugen Peng, Yaohua Sun, Shi Yan:
Mode Selection and Resource Allocation in Sliced Fog Radio Access Networks: A Reinforcement Learning Approach. - Abdulkadir Celik, Nasir Saeed, Basem Shihada, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
Opportunistic Routing for Opto-Acoustic Internet of Underwater Things. - Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal:
PrivacyFL: A simulator for privacy-preserving and secure federated learning. - Hugo Carrillo, Carlos Parés, David Zorío:
Lax Wendroff approximate Taylor methods with fast and optimized weighted essentially non-oscillatory reconstructions. - Trung Truong, Dinh-Liem Nguyen, Michael V. Klibanov:
Convexification numerical algorithm for a 2D inverse scattering problem with backscatter data. - Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan:
Storage Space Allocation Strategy for Digital Data with Message Importance. - Yue Yang:
An improved FastEuler-DLKF small-UAV AHRS algorithm. - Vikram Shree, Wei-Lun Chao, Mark E. Campbell:
Interactive Natural Language-based Person Search. - Daniel Moghimi, Jo Van Bulck, Nadia Heninger, Frank Piessens, Berk Sunar:
CopyCat: Controlled Instruction-Level Attacks on Enclaves for Maximal Key Extraction. - Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. - Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti, Yaser P. Fallah, Rui Guo, Hongsheng Lu:
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks. - Samik Banerjee, Sukhendu Das:
SD-GAN: Structural and Denoising GAN reveals facial parts under occlusion. - Anusha Bableshwar, Arun Ravindran, Manoj Iyer:
A Recurrent Neural Network Based Patch Recommender for Linux Kernel Bugs. - Mohsen Parisay, Charalambos Poullis, Marta Kersten:
EyeTAP: A Novel Technique using Voice Inputs to Address the Midas Touch Problem for Gaze-based Interactions. - Julien Pérolat, Rémi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls:
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. - Nitish Patkar, Mohammad Ghafari, Oscar Nierstrasz, Sofija Hotomski:
Caveats in Eliciting Mobile App Requirements. - Hao Liu, Shingyu Leung:
An Alternating Direction Explicit Method for Time Evolution Equations with Applications to Fractional Differential Equations. - Mohammadreza Hazhirpasand, Mohammad Ghafari, Oscar Nierstrasz:
Tricking Johnny into Granting Web Permissions. - Christelle Dleuna Nyoumbi, Antoine Tambue:
A fitted finite volume method for stochastic optimal control Problems. - Harry F. Oviedo, Hugo J. Lara, Oscar S. Dalmau:
Scaled Fixed Point Algorithm for Computing the Matrix Square Root. - Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen:
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. - Vahideh H. Manshadi, Scott Rodilitz:
Online Policies for Efficient Volunteer Crowdsourcing. - Mikko Koivisto, Antti Röyskö:
Fast Multi-Subset Transform and Weighted Sums Over Acyclic Digraphs. - Si Wei Feng, Jingjin Yu:
Optimally Guarding Perimeters and Regions with Mobile Range Sensors. - Joshua Robinson, Stefanie Jegelka, Suvrit Sra:
Strength from Weakness: Fast Learning Using Weak Supervision. - Garima Pruthi, Frederick Liu, Mukund Sundararajan, Satyen Kale:
Estimating Training Data Influence by Tracking Gradient Descent. - Konstantinos Dovelos, Michail Matthaiou, Hien Quoc Ngo, Boris Bellalta:
Massive MIMO with Multi-Antenna Users under Jointly Correlated Ricean Fading. - Gilles Barthe, Raphaëlle Crubillé, Ugo Dal Lago, Francesco Gavazzo:
On the Versatility of Open Logical Relations: Continuity, Automatic Differentiation, and a Containment Theorem. - Piotr Woznicki, Michal Kuzba, Piotr Migdal:
Modelling response to trypophobia trigger using intermediate layers of ImageNet networks. - Vasileios Charisopoulos, Austin R. Benson, Anil Damle:
Entrywise convergence of iterative methods for eigenproblems. - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Stochastic Regret Minimization in Extensive-Form Games. - Feodor F. Dragan, Heather M. Guarnera:
Eccentricity terrain of δ-hyperbolic graphs. - Kuan Cheng, Zhengzhong Jin, Xin Li, Yu Zheng:
Space Efficient Deterministic Approximation of String Measures. - José Everardo Bessa Maia, Gildácio J. de A. Sá:
Processing topical queries on images of historical newspaper pages. - Tianlang Chen, Jiebo Luo:
Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching. - Rachel L. Thomas, David Uminsky:
The Problem with Metrics is a Fundamental Problem for AI. - Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher:
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. - Rose Bohrer, André Platzer:
Constructive Game Logic. - David Eriksson, Matthias Poloczek:
Scalable Constrained Bayesian Optimization. - Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi:
NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion. - Ilqar Ramazanli, Han Nguyen, Hai Pham, Sashank J. Reddi, Barnabás Póczos:
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets. - Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi:
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. - Valentine Kabanets, Sajin Koroth, Zhenjian Lu, Dimitrios Myrisiotis, Igor C. Oliveira:
Algorithms and Lower Bounds for de Morgan Formulas of Low-Communication Leaf Gates. - Yusuke Narita, Shota Yasui, Kohei Yata:
Safe Counterfactual Reinforcement Learning. - Yahya Sattar, Samet Oymak:
Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems. - Lei Gao, Mingxiang Chen, Qichang Chen, Ganzhong Luo, Nuoyi Zhu, Zhixin Liu:
Learn to Design the Heuristics for Vehicle Routing Problem. - Jian Liang, Dapeng Hu, Jiashi Feng:
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. - Han Hu, Libin Wang, Yulin Ding, Qing Zhu:
Fast and Regularized Reconstruction of Building Façades from Street-View Images using Binary Integer Programming. - Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan:
Learning to Walk in the Real World with Minimal Human Effort. - Qiufen Ni, Jianxiong Guo, Weili Wu, Chuanhe Huang:
Continuous Influence-based Community Partition for Social Networks. - Liao Zhang, Yan Yan, Lin Cheng, Hanzi Wang:
Learning Object Scale With Click Supervision for Object Detection. - Dianbo Liu, Timothy A. Miller:
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos. - Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya:
Captioning Images Taken by People Who Are Blind. - Md. Shirajum Munir, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong:
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems. - Yaohui Chen, Mansour Ahmadi, Reza Mirzazade Farkhani, Boyu Wang, Long Lu:
MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing. - (Withdrawn) Towards Byzantine-resilient Learning in Decentralized Systems.
- Yilin Kang, Yong Liu, Ben Niu, Xinyi Tong, Likun Zhang, Weiping Wang:
Input Perturbation: A New Paradigm between Central and Local Differential Privacy. - Vo Anh Khoa, Manh-Khang Dao:
Convergence analysis of a variational quasi-reversibility approach for an inverse hyperbolic heat conduction problem. - Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang:
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network. - Yinan Zhang, Parikshit Sondhi, Anjan Goswami, ChengXiang Zhai:
Towards a Soft Faceted Browsing Scheme for Information Access. - Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang:
Differentially Private ERM Based on Data Perturbation. - Noga Ron-Zewi, Mary Wootters, Gilles Zémor:
Linear-time Erasure List-decoding of Expander Codes. - Alexander Golovnev, Ishay Haviv:
The (Generalized) Orthogonality Dimension of (Generalized) Kneser Graphs: Bounds and Applications. - Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani:
Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution. - (Withdrawn) Regret Minimization in Stochastic Contextual Dueling Bandits.
- Mina Henein, Jun Zhang, Robert E. Mahony, Viorela Ila:
Dynamic SLAM: The Need For Speed. - Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto:
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset. - Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar:
Interpretability of machine learning based prediction models in healthcare. - Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya:
On Learning Sets of Symmetric Elements. - Xinran Zhang, David J. Hill, Chao Lu, Yue Song:
Ambient Signals based Load Modeling with Combined Gradient-based Optimization and Regression Method. - Chanyoung Ju, Hyoung Il Son:
A Hybrid Systems-based Hierarchical Control Architecture for Heterogeneous Field Robot Teams. - Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta:
Optimizing Black-box Metrics with Adaptive Surrogates. - Haewoon Kwak, Jisun An, Yong-Yeol Ahn:
FrameAxis: Characterizing Framing Bias and Intensity with Word Embedding. - Xiaoling Hu, Caijun Zhong, Yongxu Zhu, Xiaoming Chen, Zhaoyang Zhang:
Programmable Metasurface Based Multicast Systems: Design and Analysis. - Raj Dabre, Raphael Rubino, Atsushi Fujita:
Balancing Cost and Benefit with Tied-Multi Transformers. - Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Diversity sampling is an implicit regularization for kernel methods. - Pablo Montiel López:
A minimax approach for inverse variational inequalities. - Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu:
Boosting Adversarial Training with Hypersphere Embedding. - Shangyuan Tong, Timur Garipov, Tommi S. Jaakkola:
The Benefits of Pairwise Discriminators for Adversarial Training. - Tao Han, Junyu Gao, Yuan Yuan, Qi Wang:
Focus on Semantic Consistency for Cross-domain Crowd Understanding. - Pawel M. Idziak, Piotr Kawalek, Jacek Krzaczkowski:
Intermediate problems in modular circuits satisfiability. - Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton:
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future. - Michaël Cadilhac, Filip Mazowiecki, Charles Paperman, Michal Pilipczuk, Géraud Sénizergues:
On polynomial recursive sequences. - Keigo Takeuchi:
Convolutional Approximate Message-Passing. - Vikraman Arvind, Abhranil Chatterjee, Rajit Datta, Partha Mukhopadhyay:
Multiplicity Equivalence Testing of Automata over Partially Commutative Monoids. - Piotr Kawalek, Jacek Krzaczkowski:
Even faster algorithms for CSAT over~supernilpotent algebras. - Tanya Motwani, Manojkumar Parmar:
A Novel Framework for Selection of GANs for an Application. - Xuelong Li, Hongyuan Zhang, Rui Zhang:
Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing. - Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda:
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms. - Christian Herrera:
From Stateless to Stateful Priorities: Technical Report. - Xuelong Li, Hongyuan Zhang, Rui Zhang:
Adaptive Graph Auto-Encoder for General Data Clustering. - Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin:
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. - Yuki Koyama, Takeo Igarashi:
Computational Design with Crowds. - Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz:
Maximum Edge-Colorable Subgraph and Strong Triadic Closure Parameterized by Distance to Low-Degree Graphs. - Calin Cruceru, Gary Bécigneul, Octavian-Eugen Ganea:
Computationally Tractable Riemannian Manifolds for Graph Embeddings. - Jia-Ming Wang, Jun Du, Jianshu Zhang:
Stroke Constrained Attention Network for Online Handwritten Mathematical Expression Recognition. - You-Wei Luo, Chuan-Xian Ren, Pengfei Ge, Ke-Kun Huang, Yu-Feng Yu:
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment. - Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach:
Learning with Differentiable Perturbed Optimizers. - Alexander Kozlov, Ivan Lazarevich, Vasily Shamporov, Nikolay Lyalyushkin, Yury Gorbachev:
Neural Network Compression Framework for fast model inference. - Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia:
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice. - Daniel Bertschinger, Patrick Schnider:
Weighted Epsilon-Nets. - Xiaohong Wang, Xudong Jiang, Henghui Ding, Jun Liu:
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation. - Marin Ballu, Quentin Berthet, Francis R. Bach:
Stochastic Optimization for Regularized Wasserstein Estimators. - Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle:
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. - Ruobing Zheng, Zhou Zhu, Bo Song, Changjiang Ji:
Photorealistic Lip Sync with Adversarial Temporal Convolutional Networks. - Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama:
Do We Need Zero Training Loss After Achieving Zero Training Error? - Thien Van Luong, Youngwook Ko, Ngo Anh Vien, Michail Matthaiou, Hien Quoc Ngo:
Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems. - Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search. - Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Reinhard Koch:
A survey on Semi-, Self- and Unsupervised Techniques in Image Classification. - Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta:
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis. - Ke Quan:
Bimodal Distribution Removal and Genetic Algorithm in Neural Network for Breast Cancer Diagnosis. - Bernard Kapidani, Joachim Schöberl:
A matrix-free Discontinuous Galerkin method for the time dependent Maxwell equations in unbounded domains. - Khaled Q. Abdelfadeel, Tom Farrell, David McDonald, Dirk Pesch:
How to make Firmware Updates over LoRaWAN Possible. - Francesco Dagnino, Viviana Bono, Elena Zucca, Mariangiola Dezani-Ciancaglini:
Soundness conditions for big-step semantics. - Anthony Bonato, Erin Meger:
Iterated Global Models for Complex Networks. - Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson:
Towards Certifiable Adversarial Sample Detection. - Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore:
On the Uniqueness of Simultaneous Rational Function Reconstruction. - Jianhan Mei, Henghui Ding, Xudong Jiang:
Object 6D Pose Estimation with Non-local Attention. - Ramon Janssen:
Combining Partial Specifications using Alternating Interface Automata. - R. Fasoulis, Konstantinos Bougiatiotis, Fotis Aisopos, Anastasios Nentidis, Georgios Paliouras:
Error detection in Knowledge Graphs: Path Ranking, Embeddings or both? - Tomás Michálek, Zdenek Hurák:
Position and orientation control at micro- and mesoscales using dielectrophoresis. - Tyler Crain:
Two More Algorithms for Randomized Signature-Free Asynchronous Binary Byzantine Consensus with t<n/3 and O(n2) Messages and O(1) Round Expected Termination. - Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor:
Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach. - Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman:
Set2Graph: Learning Graphs From Sets. - Niklas Kühl, Jodie Lobana, Christian Meske:
Do you comply with AI? - Personalized explanations of learning algorithms and their impact on employees' compliance behavior. - Elsa Rizk, Stefan Vlaski, Ali H. Sayed:
Dynamic Federated Learning. - Chengyan Zhao, Masaki Ogura, Masako Kishida, Ali Yassine:
Optimal Resource Allocation for Dynamic Product Development Process via Convex Optimization. - Andrew Gordon Wilson, Pavel Izmailov:
Bayesian Deep Learning and a Probabilistic Perspective of Generalization. - Prithviraj Ammanabrolu, Ethan Tien, Zhaochen Luo, Mark O. Riedl:
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents. - Antzela Kosta, Nikolaos Pappas, Anthony Ephremides, Vangelis Angelakis:
Non-linear Age of Information in a Discrete Time Queue: Stationary Distribution and Average Performance Analysis. - Ruohan Wang, Yiannis Demiris, Carlo Ciliberto:
A Structured Prediction Approach for Conditional Meta-Learning. - Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel:
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction. - Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris:
Support-weighted Adversarial Imitation Learning. - Qilin Fan, Jian Li, Xiuhua Li, Qiang He, Shu Fu, Sen Wang:
PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks. - Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
Differential Dynamic Programming Neural Optimizer. - Zhuang Zhao, Jianxian Qiu:
A Hermite WENO scheme with artificial linear weights for hyperbolic conservation laws. - Simone Chiocchetti, Ilya Peshkov, Sergey L. Gavrilyuk, Michael Dumbser:
High order ADER schemes and GLM curl cleaning for a first order hyperbolic formulation of compressible flow with surface tension. - Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen:
Automatic Shortcut Removal for Self-Supervised Representation Learning. - Trygve Johnsen, Hugues Verdure:
Greedy weights for matroids. - Magnus Wahlström:
On quasipolynomial multicut-mimicking networks and kernelization of multiway cut problems. - Johannes Doleschal, Noa Bratman, Benny Kimelfeld, Wim Martens:
The Complexity of Aggregates over Extractions by Regular Expressions. - Don March, Vandy Tombs:
Efficiently updating a covariance matrix and its LDL decomposition. - Yuxuan Sun, Sheng Zhou, Zhisheng Niu:
Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm. - Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan:
No-Regret and Incentive-Compatible Online Learning. - Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem:
On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective. - Xiwei Liu, Hailian Ma:
Adaptive Finite Time Stability of Delayed Systems via Aperiodically Intermittent Control and Quantized Control. - Eitan Richardson, Yair Weiss:
A Bayes-Optimal View on Adversarial Examples. - Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning. - Hans van Ditmarsch, Eric Goubault, Jérémy Ledent, Sergio Rajsbaum:
Knowledge and simplicial complexes. - Jamie Kiros:
Contextual Lensing of Universal Sentence Representations. - Cristian Ramírez-Atencia, Sanaz Mostaghim, David Camacho:
sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems. - Filippo Bonchi, Robin Piedeleu, Pawel Sobocinski, Fabio Zanasi:
Contextual Equivalence for Signal Flow Graphs. - Clément Moulin-Frier, Pierre-Yves Oudeyer:
Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges. - Eva Hendrikx, Lisa Beinborn:
The Fluidity of Concept Representations in Human Brain Signals. - Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat:
Reliable Distributed Clustering with Redundant Data Assignment. - Adarsh Kumar, Peter Ku, Anuj Kumar Goyal, Angeliki Metallinou, Dilek Hakkani-Tür:
MA-DST: Multi-Attention Based Scalable Dialog State Tracking. - Tristan Thrush:
Compositional Neural Machine Translation by Removing the Lexicon from Syntax. - Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina M. Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard J. B. Dobson:
Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. - Yu Wang, Yining Sun, Zuchang Ma, Lisheng Gao, Yang Xu, Ting Sun:
Application of Pre-training Models in Named Entity Recognition. - Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. - Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang:
REALM: Retrieval-Augmented Language Model Pre-Training. - Adam Roberts, Colin Raffel, Noam Shazeer:
How Much Knowledge Can You Pack Into the Parameters of a Language Model? - Candace Ross, Boris Katz, Andrei Barbu:
Measuring Social Biases in Grounded Vision and Language Embeddings. - Yang Xiao, Ning Zhang, Wenjing Lou, Y. Thomas Hou:
Modeling the Impact of Network Connectivity on Consensus Security of Proof-of-Work Blockchain. - Aidan Boyd, Adam Czajka, Kevin W. Bowyer:
Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch? - Abhishek Kumar, Ben Poole, Kevin Murphy:
Regularized Autoencoders via Relaxed Injective Probability Flow. - Ruslan Nikolaev, Mincheol Sung, Binoy Ravindran:
LibrettOS: A Dynamically Adaptable Multiserver-Library OS. - J. H. Moon, Debasmit Das, C. S. George Lee:
Multi-step Online Unsupervised Domain Adaptation. - Rajarshi Haldar, Salih Safa Bacanli, Moayad Aloqaily, Adel Ben Mnaouer, Damla Turgut:
Cluster Aware Mobility Encounter Dataset Enlargement. - Jicong Fan, Madeleine Udell:
Online high rank matrix completion. - Timo Sämann, Peter Schlicht, Fabian Hüger:
Strategy to Increase the Safety of a DNN-based Perception for HAD Systems. - Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh:
Meta-learning for mixed linear regression. - Weida Li, Mingxia Liu, Daoqiang Zhang:
Nyström Subspace Learning for Large-scale SVMs. - Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles:
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. - Vasileios Vasilopoulos, Georgios Pavlakos, Karl Schmeckpeper, Kostas Daniilidis, Daniel E. Koditschek:
Reactive Navigation in Partially Familiar Planar Environments Using Semantic Perceptual Feedback. - Zhekai Zhang, Hanrui Wang, Song Han, William J. Dally:
SpArch: Efficient Architecture for Sparse Matrix Multiplication. - Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao:
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients. - Radu Grosu, Anna Lukina, Scott A. Smolka, Ashish Tiwari, Vasudha Varadarajan, Xingfang Wang:
V-Formation via Model Predictive Control. - Eduardo Graells-Garrido, Vanessa Peña Araya:
Toward An Interdisciplinary Methodology to Solve New (Old) Transportation Problems. - Lashon B. Booker, Scott A. Musman:
A Model-Based, Decision-Theoretic Perspective on Automated Cyber Response. - Mher Safaryan, Egor Shulgin, Peter Richtárik:
Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor. - Aidan Boyd, Adam Czajka, Kevin W. Bowyer:
Are Gabor Kernels Optimal for Iris Recognition? - Efe Bozkir, Onur Günlü, Wolfgang Fuhl, Rafael F. Schaefer, Enkelejda Kasneci:
Differential Privacy for Eye Tracking with Temporal Correlations. - Raphael Gontijo Lopes, Sylvia J. Smullin, Ekin D. Cubuk, Ethan Dyer:
Affinity and Diversity: Quantifying Mechanisms of Data Augmentation. - Stathi Fotiadis, Eduardo Pignatelli, Mario Lino Valencia, Chris D. Cantwell, Amos J. Storkey, Anil A. Bharath:
Comparing recurrent and convolutional neural networks for predicting wave propagation. - Tushar Swamy, Alexander Rucker, Muhammad Shahbaz, Kunle Olukotun:
Taurus: An Intelligent Data Plane. - Thu Nguyen-Phuoc, Christian Richardt, Long Mai, Yong-Liang Yang, Niloy J. Mitra:
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images. - Keno K. Bressem, Lisa Adams, Christoph Erxleben, Bernd Hamm, Stefan Markus Niehues, Janis Lucas Vahldiek:
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs. - Alexandre Santiago de Abreu, Luís Felipe I. Cunha, Celina M. H. de Figueiredo, Franklin L. Marquezino, Daniel Posner, Renato Portugal:
Total tessellation cover and quantum walk. - Nicholas J. A. Harvey, Christopher Liaw, Edwin A. Perkins, Sikander Randhawa:
Optimal anytime regret with two experts. - Chetan Mishra, Chen Wang, Xin Xu, Virgilio A. Centeno:
Towards Critical Clearing Time Sensitivity for DAE Systems with Singularity. - Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen:
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis. - Yusuke Matsushita, Takeshi Tsukada, Naoki Kobayashi:
RustHorn: CHC-based Verification for Rust Programs (full version). - Javier Finat, Francisco Javier Delgado del Hoyo:
Complete Endomorphisms in Computer Vision. - Shin Harase:
A table of short-period Tausworthe generators for Markov chain quasi-Monte Carlo. - André Luckow, Shantenu Jha:
Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications. - Eric Bax:
Heavy Tails Make Happy Buyers. - Rohan Anil, Vineet Gupta, Tomer Koren, Kevin Regan, Yoram Singer:
Second Order Optimization Made Practical. - Jianyu Fan, Yi-Hsuan Yang, Kui Dong, Philippe Pasquier:
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models. - Xin Guo, Luisa F. Polanía, Kenneth E. Barner:
Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks. - ChengYue Gong, Tongzheng Ren, Mao Ye, Qiang Liu:
MaxUp: A Simple Way to Improve Generalization of Neural Network Training. - Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma:
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning. - Carl Einarson, Felix Reidl:
A general kernelization technique for domination and independence problems in sparse classes. - Maximilian Mackeprang, Kim Kern, Thomas Hadler, Claudia Müller-Birn:
Seeker or Avoider? User Modeling for Inspiration Deployment in Large-Scale Ideation. - Augustus Odena, Charles Sutton:
Learning to Represent Programs with Property Signatures. - Wen Chean Teh, Adrian Atanasiu:
Simulation Of Reaction Systems By The Strictly Minimal Ones. - Tao Chen, Miqing Li, Xin Yao:
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance. - Carlos Quijada-Fuentes, Miguel R. Penabad, Susana Ladra, Gilberto Gutiérrez:
Compressed Data Structures for Binary Relations in Practice. - David Venuto, Jhelum Chakravorty, Léonard Boussioux, Junhao Wang, Gavin McCracken, Doina Precup:
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions. - Philip Paquette:
A Road Map to Strong Intelligence. - Sheng He, Randy L. Gollub, Shawn N. Murphy, Juan David Perez, Sanjay Prabhu, Rudolph Pienaar, Richard L. Robertson, Patricia Ellen Grant, Yangming Ou:
Brain Age Estimation Using LSTM on Children's Brain MRI. - Xiao Xu, Qing Zhao:
Distributed No-Regret Learning in Multi-Agent Systems. - Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data. - Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu:
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. - Vincent Roulet, Zaïd Harchaoui:
An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks. - Christina Chaccour, Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Petar Popovski:
Risk-Based Optimization of Virtual Reality over Terahertz Reconfigurable Intelligent Surfaces. - Wenhao Wang:
Adapted Center and Scale Prediction: More Stable and More Accurate. - Lionel P. Robert, Casey Pierce, Liz Morris, Sangmi Kim, Rasha Alahmad:
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda. - Austin Hounsel, Kevin Borgolte, Paul Schmitt, Nick Feamster:
D-DNS: Towards Re-Decentralizing the DNS. - Jared Nakahara, Boling Yang, Joshua R. Smith:
Contact-less manipulation of millimeter-scale objects via ultrasonic levitation. - Dario Izzo, Ekin Öztürk:
Real-Time Optimal Guidance and Control for Interplanetary Transfers Using Deep Networks. - Kensen Shi, David Bieber, Charles Sutton:
Incremental Sampling Without Replacement for Sequence Models. - Sudipta Banerjee, Arun Ross:
Face Phylogeny Tree Using Basis Functions. - Iffat Anjum, Mohammad Sujan Miah, Mu Zhu, Nazia Sharmin, Christopher Kiekintveld, William Enck, Munindar P. Singh:
Optimizing Vulnerability-Driven Honey Traffic Using Game Theory. - Mao Ye, Tongzheng Ren, Qiang Liu:
Stein Self-Repulsive Dynamics: Benefits From Past Samples. - Michal Derezinski, Rajiv Khanna, Michael W. Mahoney:
Improved guarantees and a multiple-descent curve for the Column Subset Selection Problem and the Nyström method. - Jiaxing Zhang, Hoang Tran, Guannan Zhang:
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy. - Jonathan Pilault, Jaehong Park, Christopher J. Pal:
On the impressive performance of randomly weighted encoders in summarization tasks. - Qing Zhu, Zhendong Wang, Han Hu, Linfu Xie, Xuming Ge, Yeting Zhang:
Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction. - Masahiko Ueda:
Common knowledge equilibrium of separable securities in distributed information market. - Daniel S. Brown, Russell Coleman, Ravi Srinivasan, Scott Niekum:
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences. - Xiaoli Li, Jie Shen, Zhengguang Liu:
New SAV-pressure correction methods for the Navier-Stokes equations: stability and error analysis. - Zainab Zolaktaf, Mostafa Milani, Rachel Pottinger:
Facilitating SQL Query Composition and Analysis. - H. J. Terry Suh, Russ Tedrake:
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation. - Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das:
Anonymizing Data for Privacy-Preserving Federated Learning. - Yizhe Zhao, Jie Hu, Duohua Wang, Kun Yang:
H-AP Deployment for Joint Wireless Information and Energy Transfer in Smart Cities. - Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. - Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner:
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. - Iretiayo Akinola, Jacob Varley, Dmitry Kalashnikov:
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras. - Shaya Wolf, Rafer Cooley, Mike Borowczak:
Adversarial Impacts on Autonomous Decentralized Lightweight Swarms. - Yu-Yang Lin, Nikos Tzevelekos:
Symbolic Execution Game Semantics. - Nhu-Tai Do, Tram-Tran Nguyen-Quynh, Soo-Hyung Kim:
Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep Learning Model. - Farzan Farnia, Asuman E. Ozdaglar:
GANs May Have No Nash Equilibria. - Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang:
Green Security Game with Community Engagement. - Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton:
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. - Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
DSNAS: Direct Neural Architecture Search without Parameter Retraining. - Wenzheng Li, Paul Liu, Jan Vondrák:
A polynomial lower bound on adaptive complexity of submodular maximization. - Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar:
Convolutional Tensor-Train LSTM for Spatio-temporal Learning. - Yuanyi Zhong, Alexander G. Schwing, Jian Peng:
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning. - Zhaoyuan Fang, Adam Czajka, Kevin W. Bowyer:
Robust Iris Presentation Attack Detection Fusing 2D and 3D Information. - Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang:
Few-shot acoustic event detection via meta-learning. - Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao:
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering. - Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, Huijing Zhao:
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances. - Guosheng Fu:
A divergence-free HDG scheme for the Cahn-Hilliard phase-field model for two-phase incompressible flow. - Soyoung Yoo, Sunghee Lee, Seongsin Kim, Eunji Kim, Hwan Hwangbo, Namwoo Kang:
A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests. - Xinwei Shen, Tong Zhang, Kani Chen:
Bidirectional Generative Modeling Using Adversarial Gradient Estimation. - Jingwei Wang, Yunlong Ma, Zeyu Chen, Xuheng Wang, Yuan Yun, Weiming Shen, Min Liu:
Fast Evaluation of Link Prediction by Random Sampling of Unobserved Links. - Mengya Gao, Yujun Shen, Quanquan Li, Chen Change Loy:
Residual Knowledge Distillation. - Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu:
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework. - Christian Aebeloe, Ilkcan Keles, Gabriela Montoya, Katja Hose:
Star Pattern Fragments: Accessing Knowledge Graphs through Star Patterns. - Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu:
Double Explore-then-Commit: Asymptotic Optimality and Beyond. - Yuan Lei, Jiaxin Xie:
A symmetric alternating minimization algorithm for total variation minimization. - Philipp Terhörst, Marco Huber, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition. - Chadni Islam, Muhammad Ali Babar, Surya Nepal:
A Multi-Vocal Review of Security Orchestration. - Catarina Moreira, Renuka Sindhgatta, Chun Ouyang, Peter Bruza, Andreas Wichert:
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics. - Peng Yang, Xing Xi, Yaru Fu, Tony Q. S. Quek, Xianbin Cao, Dapeng Oliver Wu:
Multicast eMBB and Bursty URLLC Service Multiplexing in a CoMP-Enabled RAN. - Rejin John Varghese, Anh Nguyen, Etienne Burdet, Guang-Zhong Yang, Benny P. L. Lo:
Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation. - Kushal Vaghani:
Curating Social Media Data. - Yuying Zhao, Xiaojie Wang, Mengchao Wang:
On the backward Euler method for a generalized Ait-Sahalia-type rate model with Poisson jumps. - Aviram Imber, Benny Kimelfeld:
The Complexity of Determining the Necessary and Possible Top-k Winners in Partial Voting Profiles. - Magdalena Biesialska, Marta R. Costa-jussà:
Refinement of Unsupervised Cross-Lingual Word Embeddings. - Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. - Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review. - Karim Huesmann, Sören Klemm, Lars Linsen, Benjamin Risse:
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization. - Omar Reyad, Mohamed E. Karar, Kadry Hamed:
Random Bit Generator Mechanism Based on Elliptic Curves and Secure Hash Function. - Russa Biswas, Mehwish Alam, Harald Sack:
Is Aligning Embedding Spaces a Challenging Task? An Analysis of the Existing Methods. - Marcell Beregi-Kovács, Ágnes Baran, András Hajdu:
Efficient Learning of Model Weights via Changing Features During Training. - Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Ford Dominey, Pierre-Yves Oudeyer:
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration. - Zhepei Wang, Xin Zhou, Chao Xu, Fei Gao:
Detailed Proofs of Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight. - Maciej Skórski:
Practical Estimation of Renyi Entropy. - Dan Alistarh, Saleh Ashkboos, Peter Davies:
Distributed Mean Estimation with Optimal Error Bounds. - Özlem Tugfe Demir, Emil Björnson:
Joint Power Control and LSFD for Wireless-Powered Cell-Free Massive MIMO. - Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Yu-Chiang Frank Wang:
Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond. - Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro:
Kernel and Rich Regimes in Overparametrized Models. - Mohamed Abbas Hedjazi, Yakup Genc:
Learning to Inpaint by Progressively Growing the Mask Regions. - Joshua Chen:
Isabelle/Spartan - A Dependent Type Theory Framework for Isabelle. - Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Xiping Hu, Bin Hu:
MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis. - Adnan Darwiche, Auguste Hirth:
On The Reasons Behind Decisions. - Maxime Martineau, Romain Raveaux, Donatello Conte, Gilles Venturini:
A Convolutional Neural Network into graph space. - Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha:
Transformer Hawkes Process. - Ahmed Rachid Hazourli, Amine Djeghri, Hanan Salam, Alice Othmani:
Deep Multi-Facial Patches Aggregation Network For Facial Expression Recognition. - Philippe Gervais, Thomas Deselaers, Emre Aksan, Otmar Hilliges:
The DIDI dataset: Digital Ink Diagram data. - Imen Ayadi, Gabriel Turinici:
Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent. - Mikolaj Bojanczyk, Amina Doumane:
First-order tree-to-tree functions. - Yuan Zhou, Kangming Yan:
Domain Adaptive Adversarial Learning Based on Physics Model Feedback for Underwater Image Enhancement. - Yi Zhao, Nils Wandel, Magdalena Landl, Andrea Schnepf, Sven Behnke:
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution. - Adnan Darwiche:
An Advance on Variable Elimination with Applications to Tensor-Based Computation. - Hannes Vandecasteele, Giovanni Samaey:
A micro-macro Markov chain Monte Carlo method for molecular dynamics using reaction coordinate proposals I: direct reconstruction. - Tommaso Zugno, Michele Polese, Natale Patriciello, Biljana Bojovic, Sandra Lagén, Michele Zorzi:
Implementation of A Spatial Channel Model for ns-3. - Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan:
Robust Optimization for Fairness with Noisy Protected Groups. - Simon Shillaker, Peter R. Pietzuch:
Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing. - Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu:
Crowdsourced Collective Entity Resolution with Relational Match Propagation. - Giovanni Vacanti, Arnaud Van Looveren:
Adversarial Detection and Correction by Matching Prediction Distributions. - Baha Eddine Youcef Belmekki, Abdelkrim Hamza, Benoît Escrig:
Performance Evaluation of Adaptive Cooperative NOMA Protocol at Road Junctions. - Alberto Saracco:
Dr. Strangelove or: how I learned to stop worrying and love the citations. - Y A Joarder, Mosabbir Ahmed:
A Hybrid Algorithm Based Robust Big Data Clustering for Solving Unhealthy Initialization, Dynamic Centroid Selection and Empty clustering Problems with Analysis. - Simone Chiocchetti, Christoph Müller:
A solver for stiff finite-rate relaxation in Baer-Nunziato two-phase flow models. - Martin Heida, Markus Kantner, Artur Stephan:
Consistency and convergence for a family of finite volume discretizations of the Fokker-Planck operator. - Benedikt Perse, Katharina Kormann, Eric Sonnendrücker:
Geometric Particle-in-Cell Simulations of the Vlasov-Maxwell System in Curvilinear Coordinates. - Mikolaj Bojanczyk, Edon Kelmendi, Rafal Stefanski, Georg Zetzsche:
Extensions of ω-Regular Languages. - Gal Yehuda, Moshe Gabel, Assaf Schuster:
It's Not What Machines Can Learn, It's What We Cannot Teach. - Angela Fan, Thibaut Lavril, Edouard Grave, Armand Joulin, Sainbayar Sukhbaatar:
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. - Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia:
Learning to Simulate Complex Physics with Graph Networks. - Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore:
The Automated Inspection of Opaque Liquid Vaccines. - Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel:
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue. - Tobin Isaac:
Recursive, parameter-free, explicitly defined interpolation nodes for simplices. - Sharon Qian, Dimitris Kalimeris, Gal Kaplun, Yaron Singer:
Robustness from Simple Classifiers. - David Torpey, Turgay Çelik:
Human Action Recognition using Local Two-Stream Convolution Neural Network Features and Support Vector Machines. - Ziyad Jappie, David Torpey, Turgay Çelik:
SummaryNet: A Multi-Stage Deep Learning Model for Automatic Video Summarisation. - Sihao Sun, Matthias Baert, Bram Adriaan Strack van Schijndel, Coen de Visser:
Upset Recovery Control for Quadrotors Subjected to a Complete Rotor Failure from Large Initial Disturbances. - Simon S. Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei:
Few-Shot Learning via Learning the Representation, Provably. - Zibo Zhao, Andrew L. Liu:
Multi-Agent Learning in Double-side Auctions forPeer-to-peer Energy Trading. - Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip H. S. Torr, Puneet K. Dokania:
Calibrating Deep Neural Networks using Focal Loss. - Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker:
Graph4Code: A Machine Interpretable Knowledge Graph for Code. - Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Localized Flow-Based Clustering in Hypergraphs. - Marcelo Mottalli, Gustavo Ajzenman, Carlos Sarraute:
Snel: SQL Native Execution for LLVM. - Hantao Cui, Fangxing Li, Kevin Tomsovic:
Hybrid Symbolic-Numeric Library for Power System Modeling and Analysis. - Arash Asadpour, Rad Niazadeh, Amin Saberi, Ali Shameli:
Ranking an Assortment of Products via Sequential Submodular Optimization. - Nate Veldt, Anthony Wirth, David F. Gleich:
Parameterized Objectives and Algorithms for Clustering Bipartite Graphs and Hypergraphs. - Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. - Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu:
Privately Learning Markov Random Fields. - Gautam Kamath, Vikrant Singhal, Jonathan R. Ullman:
Private Mean Estimation of Heavy-Tailed Distributions. - Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang:
Locally Private Hypothesis Selection. - João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk:
An end-to-end approach for the verification problem: learning the right distance. - Yue Zhang, Arti Ramesh:
Learning Fairness-aware Relational Structures. - Swastik Kopparty, Guy Moshkovitz, Jeroen Zuiddam:
Geometric rank of tensors and subrank of matrix multiplication. - Jianyu Liu, Hegler Tissot:
Clustering as an Evaluation Protocol for Knowledge Embedding Representation of Categorised Multi-relational Data in the Clinical Domain. - Elena Limonova, Arseny P. Terekhin, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
Fast Implementation of Morphological Filtering Using ARM NEON Extension. - Yi Lu, Chen Yuan, Xiang Zhang, Hua Huang, Guangyi Liu, Renchang Dai, Zhiwei Wang:
Graph Computing based Distributed State Estimation with PMUs. - Ran Wang, Karthikeya S. Parunandi, Dan Yu, Dileep M. Kalathil, Suman Chakravorty:
On the Search for Feedback in Reinforcement Learning. - (Withdrawn) Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation.
- Filip Vaverka, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina:
TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU. - David Camacho, Ángel Panizo-LLedot, Gema Bello Orgaz, Antonio González-Pardo, Erik Cambria:
The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools. - Simon Telen, Marc Van Barel, Jan Verschelde:
Robust Numerical Tracking of One Path of a Polynomial Homotopy on Parallel Shared Memory Computers. - Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski:
Estimating Q(s, s') with Deep Deterministic Dynamics Gradients. - Victor Grishchenko, Mikhail A. Patrakeev:
Chronofold: a data structure for versioned text. - Yaqi Duan, Mengdi Wang:
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. - Amir Hosein Khas Ahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee, Quaid Morris:
Memory-Based Graph Networks. - David M. Kahn, Jan Hoffmann:
Exponential Amortized Resource Analysis. - Yue Zhang, Arti Ramesh:
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. - Eryk Kopczynski, Dorota Celinska-Kopczynska:
Real-Time Visualization in Non-Isotropic Geometries. - Eryk Kopczynski:
Hyperbolic Minesweeper is in P. - Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu:
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection. - Madhavan Seshadri, Malavika Srikanth, Mikhail Belov:
Image to Language Understanding: Captioning approach. - Jianyu Wang, Hao Liang, Gauri Joshi:
Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD. - Yoji Yamato:
Evaluation of Automatic FPGA Offloading for Loop Statements of Applications. - Kris Cao, Dani Yogatama:
Modelling Latent Skills for Multitask Language Generation. - Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu:
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. - Muhammad Ali Siddiqi, Christian Doerr, Christos Strydis:
IMDfence: Architecting a Secure Protocol for Implantable Medical Devices. - Deepanshu Vasal:
Sequential decomposition of discrete memoryless channel with noisy feedback. - Ziyuan Liu, Dongheui Lee, Wolfgang Sepp:
Particle Filter Based Monocular Human Tracking with a 3D Cardbox Model and a Novel Deterministic Resampling Strategy. - Eunjung Yoon, Peng Liu:
Practical Verification of MapReduce Computation Integrity via Partial Re-execution. - Adel Dabah, Hatem Ltaief, Zouheir Rezki, Mohamed Amine Arfaoui, Mohamed-Slim Alouini, David E. Keyes:
Performance / Complexity Trade-offs of the Sphere Decoder Algorithm for Massive MIMO Systems. - Jie Ding, Zhongming Wang, Shenggao Zhou:
Structure-Preserving and Efficient Numerical Methods for Ion Transport. - Prateek Munjal, Nasir Hayat, Munawar Hayat, Jamshid Sourati, Shadab Khan:
Towards Robust and Reproducible Active Learning Using Neural Networks. - Micah Goldblum, Avi Schwarzschild, Naftali Cohen, Tucker Balch, Ankit B. Patel, Tom Goldstein:
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading. - Naoki Matsumoto, Atsuki Nagao:
Feedback game on Eulerian graphs. - Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. - Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras:
The Break-Even Point on Optimization Trajectories of Deep Neural Networks. - Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat:
Coded Federated Learning. - Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. - Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau:
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. - Shannon M. Danforth, Margaret Kohler, Daniel Bruder, Alison R. Davis Rabosky, Sridhar Kota, Ram Vasudevan, Talia Y. Moore:
Emulating duration and curvature of coral snake anti-predator thrashing behaviors using a soft-robotic platform. - Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni:
Robustness to Programmable String Transformations via Augmented Abstract Training. - Yukio Ohsawa, Teruaki Hayashi:
Extracting and Validating Explanatory Word Archipelagoes using Dual Entropy. - Zhanyu Wang, Jean Honorio:
The Sample Complexity of Meta Sparse Regression. - John Clements, Babak Farzad, Henryk Fuks:
Dynamics of large scale networks following a merger. - Xuhong Wang, Ying Du, Ping Cui, Yupu Yang:
OCGNN: One-class Classification with Graph Neural Networks. - Andrés Páez:
The Pragmatic Turn in Explainable Artificial Intelligence (XAI). - Therese Biedl, Steven Chaplick, Jirí Fiala, Michael Kaufmann, Fabrizio Montecchiani, Martin Nöllenburg, Chrysanthi N. Raftopoulou:
On Layered Fan-Planar Graph Drawings. - Haris Aziz, Barton E. Lee:
A characterization of proportionally representative committees. - Raul Puri, Ryan Spring, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Training Question Answering Models From Synthetic Data. - Shousheng Luo, Xue-Cheng Tai, Yang Wang:
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms. - Matteo Frigo, Nicola Castelletto, Massimiliano Ferronato, Joshua A. White:
Efficient solvers for hybridized three-field mixed finite element coupled poromechanics. - Alexander I. Cowen-Rivers, Jason Naradowsky:
Emergent Communication with World Models. - Georgios E. Zouraris:
Error estimation of the Relaxation Finite Difference Scheme for the nonlinear Schrödinger Equation. - Liang Gao, Kele Xu, Huaimin Wang, Yuxing Peng:
Multi-Representation Knowledge Distillation For Audio Classification. - Raman Arora, Teodor V. Marinov, Enayat Ullah:
Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives. - Mohsen Ghaffari, Christoph Grunau, Ce Jin:
Improved MPC Algorithms for MIS, Matching, and Coloring on Trees and Beyond. - Zehao Lin, Xiaoming Kang, Guodun Li, Feng Ji, Haiqing Chen, Yin Zhang:
"Wait, I'm Still Talking!" Predicting the Dialogue Interaction Behavior Using Imagine-Then-Arbitrate Model. - Matthew A. Bliss, Nicolò Michelusi:
Power-Constrained Trajectory Optimization for Wireless UAV Relays with Random Requests. - Bin Wang, Fenxiao Chen, Yuncheng Wang, C.-C. Jay Kuo:
Efficient Sentence Embedding via Semantic Subspace Analysis. - Yuan Zhou, Tao Cao, Wei Xiang:
Anypath Routing Protocol Design via Q-Learning for Underwater Sensor Networks. - Thiago B. Burghi, Maarten Schoukens, Rodolphe Sepulchre:
Feedback Identification of conductance-based models. - Thiago B. Burghi, Maarten Schoukens, Rodolphe Sepulchre:
Feedback for nonlinear system identification. - Sadegh Farhang, Mehmet Bahadir Kirdan, Aron Laszka, Jens Grossklags:
An Empirical Study of Android Security Bulletins in Different Vendors. - Guanxiong Liu, Issa Khalil, Abdallah Khreishah:
Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples. - Xiaohui Song, Liangjun Zang, Yipeng Su, Xing Wu, Jizhong Han, Songlin Hu:
Data Augmentation for Copy-Mechanism in Dialogue State Tracking. - Matthew Guzdial, Mark O. Riedl:
Conceptual Game Expansion. - Tianyi Ni:
Markov Chain Monte-Carlo Phylogenetic Inference Construction in Computational Historical Linguistics. - Jason Naradowsky, Xuan Zhang, Kevin Duh:
Machine Translation System Selection from Bandit Feedback. - Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye:
Learning Cost Functions for Optimal Transport. - Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Xiaowei Wang, Ping Tan:
Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection. - Cesar N. Yahia, Gustavo de Veciana, Stephen D. Boyles, Jean Abou Rahal, Michael Stecklein:
Book-Ahead & Supply Management for Ridesourcing Platforms. - Guilherme Froes Silva, Alejandro Donaire, Aaron McFadyen, Jason J. Ford:
String stable integral control of vehicle platoons with disturbances. - Yuanming Shi, Kai Yang, Tao Jiang, Jun Zhang, Khaled Ben Letaief:
Communication-Efficient Edge AI: Algorithms and Systems. - Dmitrii Kharkovskii, Chun Kai Ling, Kian Hsiang Low:
Nonmyopic Gaussian Process Optimization with Macro-Actions. - Jun Li, Zhichao Xing, Weibin Zhang, Yan Lin, Feng Shu:
Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning. - Xianming Li, Zongxi Li, Yingbin Zhao, Haoran Xie, Qing Li:
Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification. - Ziwen He, Wei Wang, Jing Dong, Tieniu Tan:
Temporal Sparse Adversarial Attack on Gait Recognition. - Siddhant Gangapurwala, Alexander L. Mitchell, Ioannis Havoutis:
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion. - Andrew Adamatzky, Martin Tegelaar, Han A. B. Wosten, Anna L. Powell, Alexander E. Beasley, Richard Mayne:
On Boolean gates in fungal colony. - Daniel Pérez-López, A. López-Hernandez, A. Macho, P. Das Mahapatra, José Capmany:
Towards field-programmable photonic gate arrays. - Tobias Kappé, Paul Brunet, Alexandra Silva, Jana Wagemaker, Fabio Zanasi:
Concurrent Kleene Algebra with Observations: from Hypotheses to Completeness. - Xuefeng Bai, Pengbo Liu, Yue Zhang:
Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network. - Ariel Futoransky, Carlos Sarraute, Daniel Fernandez, Matias Travizano, Ariel Waissbein:
Fair and Decentralized Exchange of Digital Goods. - Yiran Qian, Cheng Wang, Shenggao Zhou:
A Positive and Energy Stable Numerical Scheme for the Poisson-Nernst-Planck-Cahn-Hilliard Equations with Steric Interactions. - Zhenheng Tang, Shaohuai Shi, Xiaowen Chu:
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. - Haoxing Lin, Weijia Jia, Yongjian You, Yiping Sun:
Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention. - Rongfei Zeng, Shixun Zhang, Jiaqi Wang, Xiaowen Chu:
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC. - Thomas Richter, Jeremi Mizerski:
The candy wrapper problem - a temporal multiscale approach for pde/pde systems. - Tingting Zhang, Yushi Lan, Aiguo Song, Kun Liu, Nan Wang:
Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method. - Marcel Wild:
Compression with wildcards: All spanning trees. - Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. - Yiduo Wang, Milad Ramezani, Maurice F. Fallon:
Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot. - Yifan Sun, Francis R. Bach:
Safe Screening for the Generalized Conditional Gradient Method. - Jie Gong, Qiaobin Kuang, Xiang Chen:
Joint Transmission and Computing Scheduling for Status Update with Mobile Edge Computing. - Hiroki Ishizaka, Kenta Kobayashi, Takuya Tsuchiya:
General theory of interpolation error estimates on anisotropic meshes. - Ghazaleh Parvini, Katherine Braught, David Fernández-Baca:
Checking Phylogenetic Decisiveness in Theory and in Practice. - Cristian Rusu, Lorenzo Rosasco:
Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms. - David Fernández-Baca, Lei Liu:
Testing the Agreement of Trees with Internal Labels. - Peter Benner, Pawan Goyal, Boris Kramer, Benjamin Peherstorfer, Karen Willcox:
Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms. - Junying Cao, Zhenning Cai:
Numerical Analysis of a High-Order Scheme for Nonlinear Fractional Differential Equations with Uniform Accuracy. - Prosenjit Bose, Saeed Mehrabi, Debajyoti Mondal:
(Faster) Multi-Sided Boundary Labelling. - Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin:
Differentially Private Set Union. - Daphne Odekerken, Hendrik Vincent Koops, Anja Volk:
DECIBEL: Improving Audio Chord Estimation for Popular Music by Alignment and Integration of Crowd-Sourced Symbolic Representations. - Jérôme Darbon, Tingwei Meng:
On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton-Jacobi partial differential equations. - Nicodemus Banagaaya, Giuseppe Alì, Sara Grundel, Peter Benner:
Automatic Decoupling and Index-aware Model-Order Reduction for Nonlinear Differential-Algebraic Equations. - Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly:
Sampling for Deep Learning Model Diagnosis (Technical Report). - Steven Jacobs, Xikui Wang, Michael J. Carey, Vassilis J. Tsotras, Md. Yusuf Sarwar Uddin:
BAD to the Bone: Big Active Data at its Core. - Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela:
Unsupervised Question Decomposition for Question Answering. - Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras:
Block-Term Tensor Decomposition: Model Selection and Computation. - Kristiaan Pelckmans, Hong-Li Zeng:
Longitudinal Support Vector Machines for High Dimensional Time Series. - Alfredo Nava Tudela:
Predictive refinement methodology for compressed sensing imaging. - Chen Zhu, Renkun Ni, Ping-Yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein:
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers. - Kirthi Shankar Sivamani, Rajeev Sahay, Aly El Gamal:
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks. - Tolga Ergen, Mert Pilanci:
Convex Duality of Deep Neural Networks. - Viktor Oganesyan, Alexandra Volokhova, Dmitry P. Vetrov:
Stochasticity in Neural ODEs: An Empirical Study. - Alon Brutzkus, Amir Globerson:
On the Inductive Bias of a CNN for Orthogonal Patterns Distributions. - Silvio Ghilardi, Alessandro Gianola, Deepak Kapur:
Compactly Representing Uniform Interpolants for EUF using (conditional) DAGS. - Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh R. Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler:
HarDNN: Feature Map Vulnerability Evaluation in CNNs. - Yinyu Nie, Shihui Guo, Jian Chang, Xiaoguang Han, Jiahui Huang, Shi-Min Hu, Jian-Jun Zhang:
Shallow2Deep: Indoor Scene Modeling by Single Image Understanding. - Yiannis Kantaros, Taylor J. Carpenter, Sangdon Park, Radoslav Ivanov, Sooyong Jang, Insup Lee, James Weimer:
VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems. - Sivakumar Chidambaram, J. M. Pierre Langlois, Jean-Pierre David:
PoET-BiN: Power Efficient Tiny Binary Neurons. - Donghwan Lee, Niao He:
Periodic Q-Learning. - Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo:
Reliable Fidelity and Diversity Metrics for Generative Models. - Laurel J. Orr, Magda Balazinska, Dan Suciu:
Sample Debiasing in the Themis Open World Database System (Extended Version). - Rodolfo Ruben Rosales, Benjamin Seibold, David Shirokoff, Dong Zhou:
High-order Methods for a Pressure Poisson Equation Reformulation of the Navier-Stokes Equations with Electric Boundary Conditions. - Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang:
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. - Bo Zhou, Walid Saad, Mehdi Bennis, Petar Popovski:
Risk-Aware Optimization of Age of Information in the Internet of Things. - Tomer Ezra, Michal Feldman, Nick Gravin, Zhihao Gavin Tang:
Online Stochastic Max-Weight Matching: prophet inequality for vertex and edge arrival models. - Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos:
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits. - Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin:
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization. - Florian Richoux, Jean-François Baffier:
Automatic Cost Function Learning with Interpretable Compositional Networks. - Yingyu Liang, Zhao Song, Mengdi Wang, Lin F. Yang, Xin Yang:
Sketching Transformed Matrices with Applications to Natural Language Processing. - Sanath Kumar Krishnamurthy, Susan Athey:
Survey Bandits with Regret Guarantees. - Burkay Donderici, Caleb New, Chenliang Xu:
Assembling Semantically-Disentangled Representations for Predictive-Generative Models via Adaptation from Synthetic Domain. - Gabriel I. Fernandez, Colin Togashi, Dennis W. Hong, Lin F. Yang:
Deep Reinforcement Learning with Linear Quadratic Regulator Regions. - Taran Lynn, Dipak Ghosal, Nathan Hanford:
Model Predictive Congestion Control for TCP Endpoints. - Ron van der Meyden:
Signature in Counterparts, a Formal Treatment. - Yuan Zhao, Jiasi Chen, Samet Oymak:
On the Role of Dataset Quality and Heterogeneity in Model Confidence. - Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira:
Sequence Preserving Network Traffic Generation. - Sigal Shaked, Lior Rokach:
PrivGen: Preserving Privacy of Sequences Through Data Generation. - Oleg V. Vasilyev, Vedant Dharnidharka, John Bohannon:
Fill in the BLANC: Human-free quality estimation of document summaries. - Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. - Yan Feng, Xue Yang, Weijun Fang, Shu-Tao Xia, Xiaohu Tang:
Practical and Bilateral Privacy-preserving Federated Learning. - Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh:
Tree++: Truncated Tree Based Graph Kernels. - M. Thamban Nair, Samprita Das Roy:
A new regularization method for a parameter identification problem in a non-linear partial differential equation. - Jingwei Zhang, Yong Zeng, Rui Zhang:
Multi-Antenna UAV Data Harvesting: Joint Trajectory and Communication Optimization. - Selim Engin, Volkan Isler:
Active localization of multiple targets using noisy relative measurements. - Azhar Hussain, Tong Wang, Jiahua Cao:
Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication. - Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Crossing the Reality Gap with Evolved Plastic Neurocontrollers. - Supratik Chakraborty, Ashutosh Gupta, Divyesh Unadkat:
Verifying Array Manipulating Programs with Full-Program Induction. - Yu Han, Mengyuan Li, Shi Jin, Chao-Kai Wen, Xiaoli Ma:
Deep Learning Based FDD Non-Stationary Massive MIMO Downlink Channel Reconstruction. - Hao-Chiang Shao, Kang-Yu Liu, Chia-Wen Lin, Jiwen Lu:
DotFAN: A Domain-transferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition. - Andrea Asperti:
Variance Loss in Variational Autoencoders. - Daniel Teitelman, Itay Naeh, Shie Mannor:
Stealing Black-Box Functionality Using The Deep Neural Tree Architecture. - Yossi Adi, Yaniv Nemcovsky, Alexander G. Schwing, Tamir Hazan:
On the generalization of bayesian deep nets for multi-class classification. - Alon Cohen, Haim Kaplan, Yishay Mansour, Aviv Rosenberg:
Near-optimal Regret Bounds for Stochastic Shortest Path. - Borzoo Bonakdarpour, Sarai Sheinvald:
Automata for Hyperlanguages. - Dmitry I. Ignatov, Polina Ivanova, Albina Zamaletdinova:
Mixed Integer Programming for Searching Maximum Quasi-Bicliques. - Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. - Mordecai J. Golin, Elfarouk Harb:
Speeding up the AIFV-2 dynamic programs by two orders of magnitude using Range Minimum Queries. - Zihao Wang, Enmei Tu, Zhou Meng:
End-To-End Graph-based Deep Semi-Supervised Learning. - Yuval Cassuto, Jacob Ziv:
Efficient Compression of Long Arbitrary Sequences with No Reference at the Encoder. - Michael Gandelman, Yuval Cassuto:
Treeplication: An Erasure Code for Distributed Full Recovery under the Random Multiset Channel. - Qing Liu, Jiajia Guo, Chao-Kai Wen, Shi Jin:
Adversarial Attack on DL-based Massive MIMO CSI Feedback. - Kai Jiang, Wei Si, Chang Chen, Chenglong Bao:
Efficient numerical methods for computing the stationary states of phase field crystal models. - Pravesh Koirala, Aman Shakya:
A Nepali Rule Based Stemmer and its performance on different NLP applications. - Beibei Jin, Yu Hu, Qiankun Tang, Jingyu Niu, Zhiping Shi, Yinhe Han, Xiaowei Li:
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction. - Xinwei Yue, Yuanwei Liu:
Performance Analysis of Intelligent Reflecting Surface Assisted NOMA Networks. - Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu:
Improve SGD Training via Aligning Mini-batches. - Yixuan Tang, Hwee Tou Ng, Anthony K. H. Tung:
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions? - Haoyang Ye, Huaiyang Huang, Ming Liu:
Monocular Direct Sparse Localization in a Prior 3D Surfel Map. - Yue Jiang, Wolfgang Stuerzlinger, Matthias Zwicker, Christof Lutteroth:
ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-Constraints. - Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek:
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. - Auke J. Wiggers, Emiel Hoogeboom:
Predictive Sampling with Forecasting Autoregressive Models. - María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens:
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics. - Hugo Gimbert, Soumyajit Paul, B. Srivathsan:
A Bridge between Polynomial Optimization and Games with Imperfect Recall. - Arnaud Carayol, Olivier Serre:
How Good Is a Strategy in a Game With Nature? - Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Johan Nakuci, Sarah Feldt Muldoon, John D. Medaglia:
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case. - Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques. - Marie Destandau, Olivier Corby, Alain Giboin:
Path Outlines: Browsing Path-Based Summaries of Linked Open Datasets. - Rodolfo Quispe, Darwin Ttito Concha, Adín Ramírez Rivera, Hélio Pedrini:
Multi-Stream Networks and Ground-Truth Generation for Crowd Counting. - Arindam Banerjee, Tiancong Chen, Yingxue Zhou:
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors. - Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy:
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks. - Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen:
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance. - Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs. - Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, Susan A. Murphy:
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. - Ashwin Jacob, Fahad Panolan, Venkatesh Raman, Vibha Sahlot:
Structural Parameterizations with Modulator Oblivion. - Miguel Arduengo, Adrià Colomé, Joan Lobo-Prat, Luis Sentis, Carme Torras:
Gaussian-Process-based Robot Learning from Demonstration. - Tapajit Dey, Audris Mockus:
Deriving a Usage-Independent Software Quality Metric. - Eric Mazumdar, Aldo Pacchiano, Yi-An Ma, Peter L. Bartlett, Michael I. Jordan:
On Thompson Sampling with Langevin Algorithms. - Maximilian Seitzer:
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Aggregated Convolutional Feature Maps. - Tomer Galanti, Lior Wolf:
Comparing the Parameter Complexity of Hypernetworks and the Embedding-Based Alternative. - Tomer Galanti, Ofir Nabati, Lior Wolf:
A Critical View of the Structural Causal Model. - Matthew Nance Hall, Ramakrishnan Durairajan, Vyas Sekar:
Fighting Fire with Light: A Case for Defending DDoS Attacks Using the Optical Layer. - Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra:
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data. - Francisco Gil Montoya, Alfredo Alcayde, Francisco Manuel Arrabal-Campos, Raul Baños, Javier Roldán-Pérez:
Geometric Algebra Power Theory (GAPoT): Revisiting Apparent Power under Non-Sinusoidal Conditions. - Hadi Abdi Khojasteh, Ebrahim Ansari, Parvin Razzaghi, Akbar Karimi:
Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval. - Pierre Fraigniaud, François Le Gall, Harumichi Nishimura, Ami Paz:
Distributed Quantum Proofs for Replicated Data. - Jacob Tyo, Zachary C. Lipton:
How Transferable are the Representations Learned by Deep Q Agents? - Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang:
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. - Tal Friedman, Guy Van den Broeck:
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. - Misha Teplitskiy, Eamon Duede, Michael Menietti, Karim R. Lakhani:
Citations Systematically Misrepresent the Quality and Impact of Research Articles: Survey and Experimental Evidence from Thousands of Citers. - Xianmang He, Yindong Chen:
A Note on Echelon-Ferrers Construction. - Karine Chubarian, Anastasios Sidiropoulos:
Computing Bi-Lipschitz Outlier Embeddings into the Line. - Yifei Shen, Ye Xue, Jun Zhang, Khaled Ben Letaief, Vincent K. N. Lau:
Complete Dictionary Learning via 𝓁p-norm Maximization. - Shuran Zheng, Yiling Chen:
Optimal Advertising for Information Products. - Jessica Shi, Laxman Dhulipala, Julian Shun:
Parallel Clique Counting and Peeling Algorithms. - Alireza Partovi, Wei Zheng, Taeho Jung, Hai Lin:
Ensuring Privacy in Location-Based Services: A Model-based Approach. - Xiaonan Dong, Paolo Stegagno, Chengzhi Yuan, Wei Zeng:
Cooperative Adaptive Learning Control for A Group of Nonholonomic UGVs by Output Feedback. - Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein:
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. - Sen Lu, Abhronil Sengupta:
Exploring the Connection Between Binary and Spiking Neural Networks. - Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod:
Learning From Strategic Agents: Accuracy, Improvement, and Causality. - Benjamin Gravell, Tyler H. Summers:
Robust Learning-Based Control via Bootstrapped Multiplicative Noise. - Jongho Park:
An Overlapping Domain Decomposition Framework without Dual Formulation for Variational Imaging Problems. - Chongwen Huang, Ronghong Mo, Chau Yuen:
Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning. - Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Y. Zou:
Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations. - Chuan Guo, Ruihan Wu, Kilian Q. Weinberger:
TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks. - Xiangyu Yang, Sheng Hua, Yuanming Shi, Hao Wang, Jun Zhang, Khaled Ben Letaief:
Sparse Optimization for Green Edge AI Inference. - Tamir Bendory, Dan Edidin:
Toward a mathematical theory of the crystallographic phase retrieval problem. - Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç:
Optimizing High Performance Markov Clustering for Pre-Exascale Architectures. - Matthew J. Roos:
Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacks. - Wenrui Zhang, Peng Li:
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks. - Junfei Zhang, Yimiao Huang, Guowei Ma, Brett Nener:
Multi-objective beetle antennae search algorithm. - Philipp Geuder, Marie Claire Leidinger, Martin von Lupin, Marian Dörk, Tobias Schröder:
Emosaic: Visualizing Affective Content of Text at Varying Granularity. - Leo Schwinn, Björn M. Eskofier:
Fast and Stable Adversarial Training through Noise Injection. - Nikhil Bharadwaj Gosala, Xiaoli Meng:
An RLS-Based Instantaneous Velocity Estimator for Extended Radar Tracking. - Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman:
Implicit Geometric Regularization for Learning Shapes. - Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. - Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. - Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang:
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. - Qiang Wang, Shaohuai Shi, Canhui Wang, Xiaowen Chu:
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs. - Issa Annamoradnejad, MohammadAmin Fazli, Jafar Habibi:
Predicting Subjective Features from Questions on QA Websites using BERT. - Huan Li, Zhouchen Lin:
Revisiting EXTRA for Smooth Distributed Optimization. - Zechen Liu, Zizhang Wu, Roland Tóth:
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation. - Samith Abeywickrama, Rui Zhang, Qingqing Wu, Chau Yuen:
Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization. - Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher:
APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. - Saziye Betül Özates, Arzucan Özgür, Tunga Güngör, Balkiz Öztürk:
A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning. - Ruben Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez, Javier Ortega-Garcia:
DeepSign: Deep On-Line Signature Verification. - Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, Yunhai Tong:
Semantic Flow for Fast and Accurate Scene Parsing. - Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi:
Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms. - Subin Huh, Insoon Yang:
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach. - Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
FONDUE: A Framework for Node Disambiguation Using Network Embeddings. - Chrysoula Terizi, Despoina Chatzakou, Evaggelia Pitoura, Panayiotis Tsaparas, Nicolas Kourtellis:
Angry Birds Flock Together: Aggression Propagation on Social Media. - Ran Yi, Zipeng Ye, Juyong Zhang, Hujun Bao, Yong-Jin Liu:
Audio-driven Talking Face Video Generation with Natural Head Pose. - Monika Henzinger, Stefan Neumann, Andreas Wiese:
Explicit and Implicit Dynamic Coloring of Graphs with Bounded Arboricity. - Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini:
Snitch: A 10 kGE Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads. - Armin Weiß:
Hardness of equations over finite solvable groups under the exponential time hypothesis. - Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis:
Embedded-physics machine learning for coarse-graining and collective variable discovery without data. - Emmanuelle-Anna Dietz Saldanha, Antonis C. Kakas:
Cognitive Argumentation and the Suppression Task. - Janusz Dybizbanski, Hanna Furmanczyk, Vahan Mkrtchyan:
Vizing-Goldberg type bounds for the equitable chromatic number of block graphs. - Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman:
Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset. - Zhi Yan, Simon Schreiberhuber, Georg Halmetschlager, Tom Duckett, Markus Vincze, Nicola Bellotto:
Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber. - Isabel María del Águila, José del Sagrado, Joaquín Cañadas:
Software Engineering Timeline: major areas of interest and multidisciplinary trends. - Haris Aziz:
A Probabilistic Approach to Voting, Allocation, Matching, and Coalition Formation. - Iain G. Johnston:
Optimal strategies in the Fighting Fantasy gaming system: influencing stochastic dynamics by gambling with limited resource. - Runmin Wu, Kunyao Zhang, Lijun Wang, Yue Wang, Huchuan Lu, Yizhou Yu:
When Relation Networks meet GANs: Relation GANs with Triplet Loss. - Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco:
Improving STDP-based Visual Feature Learning with Whitening. - Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning using High-Rank Feature Map. - Shuxin Li, Gong Cheng, Chengkai Li:
Relaxing Relationship Queries on Graph Data. - Lasse Peters, Zachary N. Sunberg:
iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia. - Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia:
3DSSD: Point-based 3D Single Stage Object Detector. - Peiqin Zhuang, Yali Wang, Yu Qiao:
Learning Attentive Pairwise Interaction for Fine-Grained Classification. - Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang:
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. - Tuomo Alasalmi, Jaakko Suutala, Heli Koskimäki, Juha Röning:
Better Classifier Calibration for Small Data Sets. - Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang:
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network. - Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. - Yaoyao Liu, An-An Liu, Yuting Su, Bernt Schiele, Qianru Sun:
Mnemonics Training: Multi-Class Incremental Learning without Forgetting. - Johannes Åman Pohjola, Arve Gengelbach:
A Mechanised Semantics for HOL with Ad-hoc Overloading. - Javier Cabrera-Arteaga, Shrinish Donde, Jian Gu, Orestis Floros, Lucas Satabin, Benoit Baudry, Martin Monperrus:
Superoptimization of WebAssembly Bytecode. - Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano:
Injective Domain Knowledge in Neural Networks for Transprecision Computing. - Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang:
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. - Levente Hajder, Tekla Tóth, Zoltán Pusztai:
Automatic Estimation of Sphere Centers from Images of Calibrated Cameras. - Pierluigi Amodio, Luigi Brugnano, Felice Iavernaro, Francesca Mazzia:
On the use of the Infinity Computer architecture to set up a dynamic precision floating-point arithmetic. - Samuel Allen Alexander:
The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI. - Srikanth Chandar, Harsha Sunder:
Dynamic Systems Simulation and Control Using Consecutive Recurrent Neural Networks. - Matthew R. Kuhn, Kiichi Suzuki, Ali Daouadji:
Linear-frictional contact model for 3D discrete element simulations of granular systems. - Yanan Sun:
ArcText: An Unified Text Approach to Describing Convolutional Neural Network Architectures. - Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh:
FR-Train: A mutual information-based approach to fair and robust training. - Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson:
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. - Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga:
Multi-objective Consensus Clustering Framework for Flight Search Recommendation. - Fei Peng, Zhiyuan Jiang, Shunqing Zhang, Shugong Xu:
Age of Information Optimized MAC in V2X Sidelink via Piggyback-Based Collaboration. - Sansit Patnaik, Sai Sidhardh, Fabio Semperlotti:
Fractional-Order Models for the Static and Dynamic Analysis of Nonlocal Plates. - Giordano Salvador, Wesley H. Darvin, Muhammad Huzaifa, Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve:
Specializing Coherence, Consistency, and Push/Pull for GPU Graph Analytics. - Nigel Morris, Adrian Butscher, Francesco Iorio:
A subtractive manufacturing constraint for level set topology optimization. - Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah:
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. - Jian Ren, Jinqiao Duan:
Identifying stochastic governing equations from data of the most probable transition trajectories. - Negin Entezari, Evangelos E. Papalexakis:
TensorShield: Tensor-based Defense Against Adversarial Attacks on Images. - Ruiyang Zhang, Yang Liu, Hao Sun:
Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures. - Ripon Patgiri, Sajid Hussain, Aditya Nongmeikapam:
Empirical Study on Airline Delay Analysis and Prediction. - Jorge L. Barrera, Kurt Maute:
Ambiguous phase assignment of discretized 3D geometries in topology optimization. - Yuegui Chen, Suzhi Bi, Xian Li, Xiaohui Lin, Hui Wang:
Computation Rate Maximization in Wireless Powered MEC with Spread Spectrum Multiple Access. - Ondrej Kuzelka:
Markov Logic Networks with Complex Weights: Expressivity, Liftability and Fourier Transforms. - Alessandro Raganato, Yves Scherrer, Jörg Tiedemann:
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation. - Zayd Hammoudeh, Daniel Lowd:
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift. - Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt:
Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks. - Martin Lellep, Jonathan Prexl, Moritz Linkmann, Bruno Eckhardt:
Using Machine Learning to predict extreme events in the Hénon map. - Mojgan Mohajer:
A Graph-Based Platform for Customer Behavior Analysis using Applications' Clickstream Data. - Yue Qian, Junhui Hou, Sam Kwong, Ying He:
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling. - Sven Hertling, Heiko Paulheim:
The Knowledge Graph Track at OAEI - Gold Standards, Baselines, and the Golden Hammer Bias. - Victor Swift:
Word Embeddings Inherently Recover the Conceptual Organization of the Human Mind. - Idan Amir, Idan Attias, Tomer Koren, Roi Livni, Yishay Mansour:
Prediction with Corrupted Expert Advice. - Zhiyi Zhang, Michal Król, Alberto Sonnino, Lixia Zhang, Etienne Rivière:
EL PASSO: Privacy-preserving, Asynchronous Single Sign-On. - Fateh Boucenna:
Semantic, Efficient, and Secure Search over Encrypted Cloud Data. - Michael Heider, David Pätzel, Jörg Hähner:
SupRB: A Supervised Rule-based Learning System for Continuous Problems. - Adithya M. Devraj, Sean P. Meyn:
Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning. - Jarno Alanko, Giovanna D'Agostino, Alberto Policriti, Nicola Prezza:
Wheeler Languages. - Pascal Giorgi, Bruno Grenet, Daniel S. Roche:
Fast in-place algorithms for polynomial operations: division, evaluation, interpolation. - Indro Spinelli, Simone Scardapane, Aurelio Uncini:
Adaptive Propagation Graph Convolutional Network. - Badri N. Patro, Mayank Lunayach, Vinay P. Namboodiri:
Uncertainty based Class Activation Maps for Visual Question Answering. - Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. - Anian Ruoss, Mislav Balunovic, Marc Fischer, Martin T. Vechev:
Learning Certified Individually Fair Representations. - Maria Karyda, Merja Ryöppy, Jacob Buur, Andrés Lucero:
Imagining Data-Objects for Reflective Self-Tracking. - Wei Tang, Chien-Ju Ho, Yang Liu:
Fair Bandit Learning with Delayed Impact of Actions. - Lang Huang, Chao Zhang, Hongyang Zhang:
Self-Adaptive Training: beyond Empirical Risk Minimization. - Tianlang Chen, Chen Fang, Xiaohui Shen, Yiheng Zhu, Zhili Chen, Jiebo Luo:
Anatomy-aware 3D Human Pose Estimation in Videos. - Shuai Wang, Miaowen Wen, Minghua Xia, Rui Wang, Qi Hao, Yik-Chung Wu:
Angle Aware User Cooperation for Secure Massive MIMO in Rician Fading Channel. - Jana Kittelmann, Christoph Wernhard:
KBSET - Knowledge-Based Support for Scholarly Editing and Text Processing with Declarative LaTeX Markup and a Core Written in SWI-Prolog. - F. Aragón-Royón, Alfonso Jiménez-Vílchez, Antonio Arauzo-Azofra, José Manuel Benítez:
FSinR: an exhaustive package for feature selection. - Reza Fotohi, Yaser Ebazadeh, Mohammad Seyyar Geshlag:
A New Approach for Improvement Security against DoS Attacks in Vehicular Ad-hoc Network. - Wei-Ning Hsu, Ann Lee, Gabriel Synnaeve, Awni Y. Hannun:
Semi-Supervised Speech Recognition via Local Prior Matching. - Wei Pang, Xiaojie Wang:
Guessing State Tracking for Visual Dialogue. - Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. - DeaGyu Kim, Zhijian Hao, Ali Reza Mohazab, Azadeh Ansari:
On the Forward and Backward Motion of Milli-Bristle-Bots. - Yige Xu, Xipeng Qiu, Ligao Zhou, Xuanjing Huang:
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation. - Matteo Drago, Tommaso Zugno, Michele Polese, Marco Giordani, Michele Zorzi:
MilliCar - An ns-3 Module for mmWave NR V2X Networks. - Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan:
Low-Resource Knowledge-Grounded Dialogue Generation. - Giuseppe Ughi, Vinayak Abrol, Jared Tanner:
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA. - Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul:
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. - Marzieh Gheisari, Teddy Furon, Laurent Amsaleg:
Group Membership Verification with Privacy: Sparse or Dense? - Marzieh Gheisari, Teddy Furon, Laurent Amsaleg:
Joint Learning of Assignment and Representation for Biometric Group Membership. - Jonathan Frankle, David J. Schwab, Ari S. Morcos:
The Early Phase of Neural Network Training. - George C. Alexandropoulos, Evangelos Vlachos:
A Hardware Architecture for Reconfigurable Intelligent Surfaces with Minimal Active Elements for Explicit Channel Estimation. - Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt:
Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring. - Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
Discriminative Adversarial Search for Abstractive Summarization. - Guillaume Leclerc, Aleksander Madry:
The Two Regimes of Deep Network Training. - Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan:
Supervised Deep Similarity Matching. - Leonardo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti:
Sketchformer: Transformer-based Representation for Sketched Structure. - Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert:
On the Sample Complexity of Adversarial Multi-Source PAC Learning. - Yunus Can Gültekin, Alex Alvarado, Frans M. J. Willems:
Achievable Information Rates for Probabilistic Amplitude Shaping: A Minimum-Randomness Approach via Random Sign-Coding Arguments. - Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. - Henger Li, Wen Shen, Zizhan Zheng:
Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model. - Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao:
Suppressing Uncertainties for Large-Scale Facial Expression Recognition. - Grégoire Jauvion, Thibaut Cassard, Boris Quennehen, David Lissmyr:
DeepPlume: Very High Resolution Real-Time Air Quality Mapping. - Shashank Rajput, Anant Gupta, Dimitris S. Papailiopoulos:
Closing the convergence gap of SGD without replacement. - Henry Chan, Badri Narayanan, Mathew J. Cherukara, Troy D. Loeffler, Michael G. Sternberg, Anthony Avarca, Subramanian K. R. S. Sankaranarayanan:
BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit. - Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Lagrangian Decomposition for Neural Network Verification. - Y A Joarder, Emran Hossain, Al Faisal Mahmud:
Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique. - Daniel Flam-Shepherd, Tony C. Wu, Pascal Friederich, Alán Aspuru-Guzik:
Neural Message Passing on High Order Paths. - Utku Türk, Furkan Atmaca, Saziye Betül Özates, Gözde Berk, Seyyit Talha Bedir, Abdullatif Köksal, Balkiz Öztürk Basaran, Tunga Güngör, Arzucan Özgür:
Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool. - Fahad Sohrab, Jenni Raitoharju:
Boosting rare benthic macroinvertebrates taxa identification with one-class classification. - Yingmeng Xiang, Zhehan Yi, Xiao Lu, Zhe Yu, Di Shi, Chunlei Xu, Xueming Li, Zhiwei Wang:
Distributed Frequency Emergency Control with Coordinated Edge Intelligence. - Sebastian Risi, Mike Preuss:
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI. - Gabriel Rioux, Rustum Choksi, Tim Hoheisel, Christopher Scarvelis:
Maximum Entropy on the Mean: A Paradigm Shift for Regularization in Image Deblurring. - Sitan Chen, Jerry Li, Ankur Moitra:
Learning Structured Distributions From Untrusted Batches: Faster and Simpler. - Laura Graves, Vineel Nagisetty, Joseph Scott, Vijay Ganesh:
LogicGAN: Logic-guided Generative Adversarial Networks. - Soham De, Samuel L. Smith:
Batch Normalization Biases Deep Residual Networks Towards Shallow Paths. - Liron Bergman, Niv Cohen, Yedid Hoshen:
Deep Nearest Neighbor Anomaly Detection. - Mayank Mittal, Marco Gallieri, Alessio Quaglino, Seyed Sina Mirrazavi Salehian, Jan Koutník:
Neural Lyapunov Model Predictive Control. - Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani:
Precise Tradeoffs in Adversarial Training for Linear Regression. - Ehsan Amid, Manfred K. Warmuth:
Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent. - Massimo Cairo, Romeo Rizzi, Alexandru I. Tomescu, Elia C. Zirondelli:
From omnitigs to macrotigs: a linear-time algorithm for safe walks - common to all closed arc-coverings of a directed graph. - Ioana Oriana Bercea, Guy Even:
Upper Tail Analysis of Bucket Sort and Random Tries. - Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker:
Variational Hyper RNN for Sequence Modeling. - Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung:
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. - Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana:
On Pruning Adversarially Robust Neural Networks. - Towfiq Rahman, Zhihua Qu, Toru Namerikawa:
Improving Rate of Convergence via Gain Adaptation in Multi-Agent Distributed ADMM Framework. - Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. - Kailai Xu, Eric Darve:
Physics Constrained Learning for Data-driven Inverse Modeling from Sparse Observations. - Abiola Osho, Colin Goodman, George T. Amariucai:
MIDMod-OSN: A Microscopic-level Information Diffusion Model for Online Social Networks. - Carlos Martin, Tuomas Sandholm:
Efficient exploration of zero-sum stochastic games. - Wonseok Jeon, Paul Barde, Derek Nowrouzezahrai, Joelle Pineau:
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic. - William Roden, Lucas Layman:
Cry Wolf: Toward an Experimentation Platform and Dataset for Human Factors in Cyber Security Analysis. - Carole J. Twining, Vladimir S. Petrovic, Timothy F. Cootes, Roy S. Schestowitz, William R. Crum, Christopher J. Taylor:
Evaluating Registration Without Ground Truth. - Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. - Eric Hans Lee, David Eriksson, Bolong Cheng, Michael McCourt, David Bindel:
Efficient Rollout Strategies for Bayesian Optimization. - Sen Jia, Neil D. B. Bruce:
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. - Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang:
Variational Wasserstein Barycenters for Geometric Clustering. - Sanjeev Arora, Simon S. Du, Sham M. Kakade, Yuping Luo, Nikunj Saunshi:
Provable Representation Learning for Imitation Learning via Bi-level Optimization. - Seth Kulick, Neville Ryant:
Parsing Early Modern English for Linguistic Search. - Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang:
Progressive Learning and Disentanglement of Hierarchical Representations. - Wouter Wolfslag, Christopher McGreavy, Guiyang Xin, Carlo Tiseo, Sethu Vijayakumar, Zhibin Li:
Optimisation of Body-ground Contact for Augmenting Whole-Body Loco-manipulation of Quadruped Robots. - Mert Pilanci, Tolga Ergen:
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-Layer Networks. - Ye Li, Guangqiang Yin, Chunhui Liu, Xiaoyu Yang, Zhiguo Wang:
Triplet Online Instance Matching Loss for Person Re-identification. - Jiefu Zhang, Leonardo Zepeda-Núñez, Yuan Yao, Lin Lin:
Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the needle in a haystack. - Behzad Khamidehi, Elvino S. Sousa:
A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint. - Lei Sun, Kailun Yang, Xinxin Hu, Weijian Hu, Kaiwei Wang:
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images. - Qianqian Zhang, Walid Saad, Mehdi Bennis:
Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning. - Md. Ferdous Pervej, Shih-Chun Lin:
Dynamic Power Allocation and Virtual Cell Formation for Throughput-Optimal Vehicular Edge Networks in Highway Transportation. - Jim Samuel, Richard D. Holowczak, Raquel Benbunan-Fich, Ilan Levine:
Automating Discovery of Dominance in Synchronous Computer-Mediated Communication. - Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher:
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. - Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley:
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. - Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, Tucker Hermans:
Estimating Human Teleoperator Posture Using Only a Haptic-Input Device. - Jim Samuel, Richard D. Holowczak, Alexander Pelaez:
The Effects Of Technology Driven Information Categories On Performance In Electronic Trading Markets. - Daniel R. Freer, Yao Guo, Fani Deligianni, Guang-Zhong Yang:
On-Orbit Operations Simulator for Workload Measurement during Telerobotic Training. - Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li, M. Hadi Amini:
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art. - Yehuda Dar, Paul M. Mayer, Lorenzo Luzi, Richard G. Baraniuk:
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. - Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh:
Three Approaches for Personalization with Applications to Federated Learning. - Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu:
On Reinforcement Learning for Turn-based Zero-sum Markov Games. - Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski:
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. - Han Wang, Juncheng Li, Maopeng Ran, Lihua Xie:
Fast Loop Closure Detection via Binary Content. - Han Wang, Muqing Cao, Hao Jiang, Lihua Xie:
Feasible Computationally Efficient Path Planning for UAV Collision Avoidance. - David Kempe, Sixie Yu, Yevgeniy Vorobeychik:
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification. - Zhepei Wang, Xin Zhou, Chao Xu, Jian Chu, Fei Gao:
Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight. - Amur Ghose, Abdullah Rashwan, Pascal Poupart:
Batch norm with entropic regularization turns deterministic autoencoders into generative models. - Sanjam Garg, Shafi Goldwasser, Prashant Nalini Vasudevan:
Formalizing Data Deletion in the Context of the Right to be Forgotten. - Wen Ma, Pi-Feng Chiu, Won Ho Choi, Minghai Qin, Daniel Bedau, Martin Lueker-Boden:
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks. - Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao:
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training. - Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. - Ziyu Chen, Wenxin Zhang, Yanchen Deng, Dingding Chen, Qing Li:
RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences. - José Miguel Díaz-Báñez, Ruy Fabila Monroy, Jorge Urrutia:
A Note on Empty Balanced Tetrahedra in Two colored Point sets in R3. - Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. - Yang Zhang, Ivor W. Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu:
Copy and Paste GAN: Face Hallucination from Shaded Thumbnails. - Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
A Comparative Evaluation of Temporal Pooling Methods for Blind Video Quality Assessment. - Ying Zhang, Jianhui Wang, Zhengshuo Li:
Interval State Estimation with Uncertainty of Distributed Generation and Line Parameters in Unbalanced Distribution Systems. - Andrew Bassilakis, Andrew Drucker, Mika Göös, Lunjia Hu, Weiyun Ma, Li-Yang Tan:
The Power of Many Samples in Query Complexity. - Ying Zhang, Jianhui Wang, Jianzhe Liu:
Attack Identification and Correction for PMU GPS Spoofing in Unbalanced Distribution Systems. - Wanli Wen, Chenxi Liu, Yaru Fu, Tony Q. S. Quek, Fu-Chun Zheng, Shi Jin:
Enhancing Physical Layer Security of Random Caching in Large-Scale Multi-Antenna Heterogeneous Wireless Networks. - Satrajit Chatterjee:
Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization. - Xiangyu Guo, Janardhan Kulkarni, Shi Li, Jiayi Xian:
The Power of Recourse: Better Algorithms for Facility Location in Online and Dynamic Models. - Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO. - Sumant Pushp, Pragya Kashmira, Shyamanta M. Hazarika:
Declarative Memory-based Structure for the Representation of Text Data. - Callum Baillie, Maxwell Standen, Jonathon Schwartz, Michael Docking, David Bowman, Junae Kim:
CybORG: An Autonomous Cyber Operations Research Gym. - Eric Neyman, Georgy Noarov, S. Matthew Weinberg:
Binary Scoring Rules that Incentivize Precision. - Eric Hulburd:
Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.0. - Qiong Wu, Kaiwen He, Xu Chen:
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework. - Haitao Wang:
Algorithms for Subpath Convex Hull Queries and Ray-Shooting Among Segments. - Elaina Chai, Mert Pilanci, Boris Murmann:
Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory. - Fangbo Qin, Shan Lin, Yangming Li, Randall A. Bly, Kris S. Moe, Blake Hannaford:
Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision. - Yuki Ohnishi, Jean Honorio:
Novel Change of Measure Inequalities and PAC-Bayesian Bounds. - Akihiro Higashitani, Kazuki Kurimoto, Naoki Matsumoto:
Feedback game on 3-chromatic Eulerian triangulations of surfaces. - Fahri Wisnu Murti, Andres Garcia-Saavedra, Xavier Costa-Pérez, George Iosifidis:
On the Optimization of Multi-Cloud Virtualized Radio Access Networks. - Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin:
Globally Optimal Contrast Maximisation for Event-based Motion Estimation. - Jonathan Oakley, Lu Yu, Xingsi Zhong, Ganesh Kumar Venayagamoorthy, Richard R. Brooks:
Protocol Proxy: An FTE-based Covert Channel. - Behshid Behkamal, Mohsen Kahani, Ebrahim Bagheri, Majid Sazvar:
A metric Suite for Systematic Quality Assessment of Linked Open Data. - Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon:
A Theory of Usable Information Under Computational Constraints. - Hung Le, Nancy F. Chen:
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge. - Israel Becerra, Markku Suomalainen, Eliezer Lozano, Katherine J. Mimnaugh, Rafael Murrieta-Cid, Steven M. LaValle:
Human Perception-Optimized Planning for Comfortable VR-Based Telepresence. - Faez Ahmed, John Dickerson, Mark D. Fuge:
Forming Diverse Teams from Sequentially Arriving People. - Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Video Question Answering. - Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han:
FPConv: Learning Local Flattening for Point Convolution. - Peitong Duan, Casimir Wierzynski, Lama Nachman:
Optimizing User Interface Layouts via Gradient Descent. - Xiaodong Qi, Lansheng Han:
Gödel's Sentence Is An Adversarial Example But Unsolvable. - Moshe Babaioff, Tomer Ezra, Uriel Feige:
Fair and Truthful Mechanisms for Dichotomous Valuations. - Haolin Song, Chen Zhang, Qiuchi Li, Dawei Song:
End-to-end Emotion-Cause Pair Extraction via Learning to Link. - Javier Fernández-Marqués, Paul N. Whatmough, Andrew Mundy, Matthew Mattina:
Searching for Winograd-aware Quantized Networks. - Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang:
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy. - Martin Brossard, Silvère Bonnabel, Axel Barrau:
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation. - Peter Hillmann, Marcus Knüpfer, Tobias Guggemos, Klement Streit:
CAKE: An Efficient Group Key Management for Dynamic Groups. - Markus Haltmeier, Sunghwan Moon:
The conical Radon transform with vertices on triple lines. - Jukka Ruohonen:
Measuring Basic Load-Balancing and Fail-Over Setups for Email Delivery via DNS MX Records. - Luca Beltramelli, Aamir Mahmood, Patrik Österberg, Mikael Gidlund:
LoRa beyond ALOHA: An Investigation of Alternative Random Access Protocols. - Alexander Levine, Soheil Feizi:
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. - Daniel J. Moroz, Daniel J. Aronoff, Neha Narula, David C. Parkes:
Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems. - Anji Liu, Yitao Liang, Guy Van den Broeck:
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. - Shravan Mohan:
Optimal Switching of Controlled Rectifiers. - Mattia Silvestri, Michele Lombardi, Michela Milano:
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem. - Junya Hayashida, Kazuya Nishimura, Ryoma Bise:
MPM: Joint Representation of Motion and Position Map for Cell Tracking. - Manh-Dung Nguyen, Sébastien Bardin, Richard Bonichon, Roland Groz, Matthieu Lemerre:
Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities. - Volker Turau:
Analysis of Amnesiac Flooding. - Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi:
Event Detection with Relation-Aware Graph Convolutional Neural Networks. - Koya Sato, Yasuyuki Satoh, Daisuke Sugimura:
Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems. - Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. - Fabrizio Detassis, Michele Lombardi, Michela Milano:
Teaching the Old Dog New Tricks: Supervised Learning with Constraints. - Joel Janek Dabrowski, Ashfaqur Rahman:
Sequence-to-Sequence Imputation of Missing Sensor Data. - Aviram Bar-Haim, Lior Wolf:
ScopeFlow: Dynamic Scene Scoping for Optical Flow. - Xien Liu, Song Wang, Xiao Zhang, Xinxin You, Ji Wu, Dejing Dou:
Label-guided Learning for Text Classification. - Pietro G. Di Stefano, James M. Hickey, Vlasios Vasileiou:
Counterfactual fairness: removing direct effects through regularization. - Martin E. Avendano, Miguel Ángel Marco Buzunáriz:
A structural attack to the DME-(3, 2, q) cryptosystem. - Edmond Shami, Abdelmalek Saleh:
Comparison Study for Multi-vendor Versus Single-vendor for Enterprise Computer Networks. - Xiangming Meng, Roman Bachmann, Mohammad Emtiyaz Khan:
Training Binary Neural Networks using the Bayesian Learning Rule. - Alkida Balliu, Fabian Kuhn, Dennis Olivetti:
Distributed Edge Coloring in Time Quasi-Polylogarithmic in Delta. - Wei-Fan Chen, Shahbaz Syed, Benno Stein, Matthias Hagen, Martin Potthast:
Abstractive Snippet Generation. - Anne Ejsing, Martin Jensen, Marco Muñiz, Jacob Nørhave, Lars Rechter:
Near Optimal Task Graph Scheduling with Priced Timed Automata and Priced Timed Markov Decision Processes. - Maurizio Falcone, Giulio Paolucci, Silvia Tozza:
Multidimensional smoothness indicators for first-order Hamilton-Jacobi equations. - Giulio Garbi, Emilio Incerto, Mirco Tribastone:
Learning Queuing Networks by Recurrent Neural Networks. - Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. - Shalev Ben-David, Eric Blais:
A New Minimax Theorem for Randomized Algorithms. - Luigi Liquori, Claude Stolze:
A Type Checker for a Logical Framework with Union and Intersection Types. - Shalev Ben-David, Eric Blais:
A Tight Composition Theorem for the Randomized Query Complexity of Partial Functions. - Eduardo Abreu, Angel Durán:
On the use of spectral discretizations with time strong stability preserving properties to Dirichlet pseudo-parabolic problems. - Eduardo Abreu, Angel Durán:
Error estimates for semidiscrete Galerkin and collocation approximations to pseudo-parabolic problems with Dirichlet conditions. - Rob van Glabbeek:
Failure Trace Semantics for a Process Algebra with Time-outs (preliminary report). - Edouard Leurent, Denis V. Efimov, Odalric-Ambrym Maillard:
Robust Estimation, Prediction and Control with Linear Dynamics and Generic Costs. - Guoda Tian, Harsh Tataria, Fredrik Tufvesson:
Amplitude and Phase Estimation for Absolute Calibration of Massive MIMO Front-Ends. - Théophile Chaumont-Frelet, Barbara Verfürth:
A generalized finite element method for problems with sign-changing coefficients. - Rafael Bailo, José A. Carrillo, Hideki Murakawa, Markus Schmidtchen:
Convergence of a Fully Discrete and Energy-Dissipating Finite-Volume Scheme for Aggregation-Diffusion Equations. - Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li:
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective. - Alina Karakanta, Matteo Negri, Marco Turchi:
MuST-Cinema: a Speech-to-Subtitles corpus. - Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari:
BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations. - Michael Felderer, Ralf H. Reussner, Bernhard Rumpe:
Software Engineering und Software Engineering Forschung im Zeitalter der Digitalisierung. - Amit Dekel, Linus Härenstam-Nielsen, Sergio Caccamo:
Optimal least-squares solution to the hand-eye calibration problem. - Wolfgang Mulzer, Max Willert:
Routing in Unit Disk Graphs without Dynamic Headers. - Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner:
An Assignment Problem Formulation for Dominance Move Indicator. - Théodore Bluche, Maël Primet, Thibault Gisselbrecht:
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks. - Tomer Iwan, Oktay Kavi, Erkin Yildirim:
Learning Machines from Simulation to Real World. - Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei:
Circle Loss: A Unified Perspective of Pair Similarity Optimization. - Tomoichi Takahashi:
Toward dynamical crowd control to prevent hazardous situations. - Zun Li, Congyan Lang, Jun Hao Liew, Qibin Hou, Yidong Li, Jiashi Feng:
Cross-layer Feature Pyramid Network for Salient Object Detection. - Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. - Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification. - Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia:
PolyGen: An Autoregressive Generative Model of 3D Meshes. - Jonas Oppenlaender, Aku Visuri, Kristy Milland, Panos Ipeirotis, Simo Hosio:
What do crowd workers think about creative work? - Luc Pellissier, Thomas Seiller:
Lower bounds for prams over Z. - Michael Dinitz, Caleb Robelle:
Efficient and Simple Algorithms for Fault Tolerant Spanners. - Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano:
Combining Learning and Optimization for Transprecision Computing. - Christoph Wernhard:
Facets of the PIE Environment for Proving, Interpolating and Eliminating on the Basis of First-Order Logic. - Iñigo Alonso, Luis Riazuelo, Luis Montesano, Ana C. Murillo:
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation. - Hans L. Bodlaender, Tesshu Hanaka, Lars Jaffke, Hirotaka Ono, Yota Otachi, Tom C. van der Zanden:
Hedonic Seat Arrangement Problems. - Farzane Karami, Olaf Owe, Gerardo Schneider:
Security Wrappers for Information-Flow Control in Active Object Languages with Futures. - Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. - Mark A. Rucker, Layne T. Watson, Laura E. Barnes, Matthew S. Gerber:
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. - Wolfgang Fuhl:
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction. - S. B. Pinto, Rodrigo C. de Lamare:
Study of Coarse Quantization-Aware Block Diagonalization Algorithms for MIMO Systems with Low Resolution. - Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný:
General Framework for Binary Classification on Top Samples. - Peng Chen, Omar Ghattas:
Stein variational reduced basis Bayesian inversion. - Naveen Garg, Nikhil Kumar, András Sebö:
Integer Plane Multiflow Maximisation: Flow-Cut Gap and One-Quarter-Approximation. - Bonnie J. Dorr, Archna Bhatia, Adam Dalton, Brodie Mather, Bryanna Hebenstreit, Sashank Santhanam, Zhuo Cheng, Samira Shaikh, Alan Zemel, Tomek Strzalkowski:
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge. - Jitin Krishnan, Hemant Purohit, Huzefa Rangwala:
Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift. - Ziyuan Liu, Georg von Wichert:
Applying Rule-Based Context Knowledge to Build Abstract Semantic Maps of Indoor Environments. - Ziyuan Liu, Dong Chen, Georg von Wichert:
Online Semantic Exploration of Indoor Maps. - Richeng Jin, Yufan Huang, Xiaofan He, Huaiyu Dai, Tianfu Wu:
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees. - Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong:
A3: Accelerating Attention Mechanisms in Neural Networks with Approximation. - Lingraj S. Vannur, Lokesh Nagalapatti, Balaji Ganesan, Hima Patel:
Data Augmentation for Personal Knowledge Graph Population. - Minghui Li, Sherman S. M. Chow, Shengshan Hu, Yuejing Yan, Minxin Du, Zhibo Wang:
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions. - Ignacio Garcia-Dorado, Pascal Getreuer, Bartlomiej Wronski, Peyman Milanfar:
Image Stylization: From Predefined to Personalized. - Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin:
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. - Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou:
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. - Alexander Birx, Yann Disser, Alexander V. Hopp, Christina Karousatou:
Improved Lower Bound for Competitive Graph Exploration. - Satyaki Chakraborty, Xinya Li, Sayak Chakraborty:
A more abstractive summarization model. - Sangwoo Mo, Minsu Cho, Jinwoo Shin:
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. - Ying Zhang, Jianhui Wang, Mohammad E. Khodayar:
Graph-based Faulted Line Identification Using Micro-PMU Data in Distribution Systems. - Pushyami Kaveti, Md Navid Akbar:
Role of Intrinsic Motivation in User Interface Design to Enhance Worker Performance in Amazon MTurk. - Vagia Karyoti, Paulina Paraponiari:
Weighted PCL over product valuation monoids. - Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras:
Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans. - Yushi Lan, Yuan Liu, Maoqing Tian, Xinchi Zhou, Xuesen Zhang, Shuai Yi, Hongsheng Li:
MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification. - Sanchita Ghose, John J. Prevost:
AutoFoley: Artificial Synthesis of Synchronized Sound Tracks for Silent Videos with Deep Learning. - Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras:
A Deep Learning Framework for Simulation and Defect Prediction Applied in Microelectronics. - Valentin Danchev, Mason A. Porter:
Migration Networks: Applications of Network Analysis to Large-Scale Human Mobility. - Allen Wang, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles in the Presence of Uncertain Agents. - Philipp Lüthi, Thibault Gagnaux, Marcel Gygli:
Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets. - Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton:
Turning 30: New Ideas in Inductive Logic Programming. - Danushka Bollegala, Ryuichi Kiryo, Kosuke Tsujino, Haruki Yukawa:
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction. - Serge Kas Hanna, Rawad Bitar, Parimal Parag, Venkat Dasari, Salim El Rouayheb:
Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers. - Sagnik Basumallik:
A Taxonomy of Data Attacks in Power Systems. - Mathilde Guillemot, Catherine Heusele, Rodolphe Korichi, Sylvianne Schnebert, Liming Chen:
Breaking Batch Normalization for better explainability of Deep Neural Networks through Layer-wise Relevance Propagation. - Ekrem Aksoy, Ahmet Yazici, Mahmut Kasap:
See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving. - Jakub Breier, Dirmanto Jap, Xiaolu Hou, Shivam Bhasin, Yang Liu:
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks. - Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu:
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. - María Granados Buey, Carlos Bobed, Jorge Gracia, Eduardo Mena:
Semantic Relatedness for Keyword Disambiguation: Exploiting Different Embeddings. - Ying Wang, Bihuan Chen, Kaifeng Huang, Bowen Shi, Congying Xu, Xin Peng, Yang Liu, Yijian Wu:
An Empirical Study of Usages, Updates and Risks of Third-Party Libraries in Java Projects. - Hemanth Sarabu, Venkata Ramana Makkapati, Vinodhini Comandur, Panagiotis Tsiotras, Seth Hutchinson:
Safe Optimal Control under Parametric Uncertainties. - Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies:
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach. - Giorgio Grisetti, Tiziano Guadagnino, Irvin Aloise, Mirco Colosi, Bartolomeo Della Corte, Dominik Schlegel:
Least Squares Optimization: from Theory to Practice. - Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy:
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors. - Chris Lattner, Jacques A. Pienaar, Mehdi Amini, Uday Bondhugula, River Riddle, Albert Cohen, Tatiana Shpeisman, Andy Davis, Nicolas Vasilache, Oleksandr Zinenko:
MLIR: A Compiler Infrastructure for the End of Moore's Law. - Tianzhu Zhang:
Design of NFV Platforms: A Survey. - Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Ground Texture Based Localization Using Compact Binary Descriptors. - Aviv Yaish, Aviv Zohar:
Pricing ASICs for Cryptocurrency Mining. - Kaifeng Huang, Bihuan Chen, Bowen Shi, Ying Wang, Congying Xu, Xin Peng:
Interactive, Effort-Aware Library Version Harmonization. - Hao Guo, Wanxin Li, Ehsan Meamari, Chien-Chung Shen, Mark M. Nejad:
Attribute-based Multi-Signature and Encryption for EHR Management: A Blockchain-based Solution. - Yukai Shi, Haoyu Zhong, Zhijing Yang, Xiaojun Yang, Liang Lin:
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution. - Yifei Min, Lin Chen, Amin Karbasi:
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization. - An Xu, Zhouyuan Huo, Heng Huang:
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. - Mohamed Aziz Bhouri:
A Certified Two-Step Port-Reduced Reduced-Basis Component Method for Wave Equation and Time Domain Elastodynamic PDE. - Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu:
Model Watermarking for Image Processing Networks. - Benjamin Eysenbach, Xinyang Geng, Sergey Levine, Ruslan Salakhutdinov:
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement. - I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler:
Problems with Shapley-value-based explanations as feature importance measures. - Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Toward fast and accurate human pose estimation via soft-gated skip connections. - Abdelrahman Taha, Yu Zhang, Faris B. Mismar, Ahmed Alkhateeb:
Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation. - Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger:
On Feature Normalization and Data Augmentation. - Rhyd Lewis:
Who is the Centre of the Movie Universe? Using Python and NetworkX to Analyse the Social Network of Movie Stars. - Abiola Osho, Caden Waters, George T. Amariucai:
An Information Diffusion Approach to Rumor Propagation and Identification on Twitter. - Okyu Kwon:
Very simple statistical evidence that AlphaGo has exceeded human limits in playing GO game. - Xinhui Lai, Maksim Jenihhin, Jaan Raik, Kolin Paul:
PASCAL: Timing SCA Resistant Design and Verification Flow. - Péter Salvi:
G1 hole filling with S-patches made easy. - M. Majid Butt, Galymzhan Nauryzbayev, Nicola Marchetti:
On Maximizing Information Reliability in Wireless Powered Cooperative Networks. - Péter Salvi:
On the CAD-compatible conversion of S-patches. - Negin Golrezaei, Adel Javanmard, Vahab S. Mirrokni:
Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions. - Rostislav Nedelchev, Debanjan Chaudhuri, Jens Lehmann, Asja Fischer:
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings. - Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan:
TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. - Anupam Gupta, Amit Kumar, Viswanath Nagarajan, Xiangkun Shen:
Stochastic Makespan Minimization in Structured Set Systems. - Dina Sokol:
2-Dimensional Palindromes with k Mismatches. - Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy:
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. - Aleksandar Kartelj, Vladimir Filipovic, Sinisa T. Vrecica, Rade T. Zivaljevic:
Topologically sensitive metaheuristics. - Marco Michele Mosca, Vitaliy Kurlin:
Voronoi-based similarity distances between arbitrary crystal lattices. - William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina:
Unsupervised Semantic Attribute Discovery and Control in Generative Models. - Sayan Bhattacharya, Monika Henzinger, Danupon Nanongkai, Xiaowei Wu:
An Improved Algorithm for Dynamic Set Cover. - Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora:
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning. - Corban G. Rivera, Olivia Lyons, Arielle Summitt, Ayman Fatima, Ji Pak, William Shao, Robert Chalmers, Aryeh Englander, Edward W. Staley, I-Jeng Wang, Ashley J. Llorens:
TanksWorld: A Multi-Agent Environment for AI Safety Research. - Sandesh Ghimire, Prashnna K. Gyawali, Linwei Wang:
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. - Sakib Ahmed, Touseef Saleh Bin Ahmed, Sumaiya Jafreen, Jannatul Tajrin, Jia Uddin:
IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study. - Santiago Andrés Azcoitia, Marius Paraschiv, Nikolaos Laoutaris:
Computing the Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces. - Chad Peters, Babak Esfandiari, Mohamad Zalat, Robert L. West:
Behavior Cloning in OpenAI using Case Based Reasoning. - Elchanan Solomon, Paul Bendich:
Geometric Fusion via Joint Delay Embeddings. - Lili Yan, Kai Li:
Interactive Summarizing - Automatic Slide Localization Technology as Generative Learning Tool. - George S. Misyris, Spyros Chatzivasileiadis, Tilman Weckesser:
Zero-inertia Systems: Sufficient Conditions for Phasor Modeling. - Muddassar Hussain, Maria Scalabrin, Michele Rossi, Nicolò Michelusi:
Mobility and Blockage-aware Communications in Millimeter-Wave Vehicular Networks. - Péter Salvi, István Kovács, Tamás Várady:
Computationally efficient transfinite patches with fullness control. - Edresson Casanova, Arnaldo Cândido Júnior, Christopher Shulby, Hamilton Pereira da Silva, Pedro Luiz de Paula Filho, Alessandro Ferreira Cordeiro, Victor de Oliveira Guedes, Sandra Maria Aluísio:
Speech2Phone: A Multilingual and Text Independent Speaker Identification Model. - Sarthak, Shikhar Shukla, Surya Prakash Tripathi:
EmbPred30: Assessing 30-days Readmission for Diabetic Patients using Categorical Embeddings. - Tolga Ergen, Mert Pilanci:
Convex Geometry and Duality of Over-parameterized Neural Networks. - David Hart, Jessica Greenland, Bryan S. Morse:
Style Transfer for Light Field Photography. - Qiqi Yang, Zhaorong Zhang, Minyue Fu:
Distributed Weighted Least-squares Estimation for Networked Systems with Edge Measurements. - Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers:
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. - Dean Doron, Jack Murtagh, Salil P. Vadhan, David Zuckerman:
Spectral Sparsification via Bounded-Independence Sampling. - Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli:
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. - Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization. - Jan Brüdigam, Zachary Manchester:
Linear-Time Variational Integrators in Maximal Coordinates. - Xuhui Fan, Éric Gaussier:
Supervised Categorical Metric Learning with Schatten p-Norms. - Xiang Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, Peyman Milanfar:
Super-Resolving Commercial Satellite Imagery Using Realistic Training Data. - Vikas Gupta:
Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation. - Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. - Minxuan Lin, Yingying Deng, Fan Tang, Weiming Dong, Changsheng Xu:
Multi-Attribute Guided Painting Generation. - Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu:
DLSpec: A Deep Learning Task Exchange Specification. - Jing Jin, Junhui Hou, Hui Yuan, Sam Kwong:
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network. - Parth Sane:
Is the OWASP Top 10 list comprehensive enough for writing secure code? - Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin:
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. - Jianhua Gao, Weixing Ji, Zhaonian Tan, Yueyan Zhao:
A Systematic Survey of General Sparse Matrix-Matrix Multiplication. - Young Kyun Jang, Nam Ik Cho:
Generalized Product Quantization Network for Semi-supervised Hashing. - Zhiwei Bao, Yunquan Dong, Zhengchuan Chen, Pingyi Fan, Khaled Ben Letaief:
Age-optimal Service and Decision Scheduling in Internet of Things. - Paula Lago, Moe Matsuki, Sozo Inoue:
Achieving Single-Sensor Complex Activity Recognition from Multi-Sensor Training Data. - Zhijian Shao, Jian Weng, Yue Zhang, Yongdong Wu, Ming Li, Jiasi Weng, Weiqi Luo, Shui Yu:
Peripheral-free Device Pairing by Randomly Switching Power. - Febin Sunny, Asif Mirza, Ishan G. Thakkar, Sudeep Pasricha, Mahdi Nikdast:
LORAX: Loss-Aware Approximations for Energy-Efficient Silicon Photonic Networks-on-Chip. - Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua:
Adversarial Ranking Attack and Defense. - Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan:
Sparse Sinkhorn Attention. - Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data. - Yu Zhang, Xiaoguang Di, Bin Zhang, Chunhui Wang:
Self-supervised Image Enhancement Network: Training with Low Light Images Only. - Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad:
Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking. - Wei Chen, Faez Ahmed:
PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs. - Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou:
Neural Parametric Fokker-Planck Equations. - Xin Ye, Yezhou Yang:
From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN). - Stéphane Breuils, Vincent Nozick, Akihiro Sugimoto:
Computational Aspects of Geometric Algebra Products of Two Homogeneous Multivectors. - Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam:
Invariance vs. Robustness of Neural Networks. - Paul J. Blazek, Milo M. Lin:
A neural network model of perception and reasoning. - Jinyin Chen, Yixian Chen, Haibin Zheng, Shijing Shen, Shanqing Yu, Dan Zhang, Qi Xuan:
MGA: Momentum Gradient Attack on Network. - Kartik Nayak, Ling Ren, Elaine Shi, Nitin H. Vaidya, Zhuolun Xiang:
Improved Extension Protocols for Byzantine Broadcast and Agreement. - Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis, Xiao Wang:
Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently. - Seung Jae Lee, Inkyu Jang, H. Jin Kim:
Fail-safe Flight of a Fully-Actuated Quadcopter in a Single Motor Failure. - Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma:
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. - Mark A. Overton:
Romu: Fast Nonlinear Pseudo-Random Number Generators Providing High Quality. - Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee:
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis. - Zhanzhan Cheng, Yunlu Xu, Mingjian Cheng, Yu Qiao, Shiliang Pu, Yi Niu, Fei Wu:
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units. - Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou:
Numerical Solution of Inverse Problems by Weak Adversarial Networks. - Alireza Farhadi, MohammadTaghi Hajiaghayi, Aviad Rubinstein, Saeed Seddighin:
Streaming with Oracle: New Streaming Algorithms for Edit Distance and LCS. - Siqi Luo, Xu Chen, Qiong Wu, Zhi Zhou, Shuai Yu:
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning. - Péter Salvi:
A multi-sided generalization of the C0 Coons patch. - Kumar Abhishek, Shweta Jain, Sujit Gujar:
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions. - Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu:
Rethinking the Route Towards Weakly Supervised Object Localization. - Ananya Kumar, Tengyu Ma, Percy Liang:
Understanding Self-Training for Gradual Domain Adaptation. - Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel:
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration. - Adrián Javaloy, Isabel Valera:
Lipschitz standardization for robust multivariate learning. - Hao Liu, Antai Guo, Deqiang Jiang, Yiqing Hu, Bo Ren:
PuzzleNet: Scene Text Detection by Segment Context Graph Learning. - Yan Feng, Bin Chen, Tao Dai, Shutao Xia:
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. - (Withdrawn) Mandate-driven Networking Eco-system: A Paradigm Shift in End-to-End Communications.
- Yong Zhang, Le Li, Zhilei Liu, Baoyuan Wu, Yanbo Fan, Zhifeng Li:
Controllable Descendant Face Synthesis. - Ohad Ben-Baruch, Danny Hendler, Matan Rusanovsky:
Upper and Lower Bounds on the Space Complexity of Detectable Object. - Guanhua Wang, Runqi Guo, Yuko Sakurai, Ali Babar, Mingyu Guo:
Mechanism Design for Public Projects via Neural Networks. - Tai Do Duc, Shuo Shao, Chaoping Xing:
Symmetric uncoded caching schemes with low subpacketization levels. - Dongjun Wu:
Intrinsic Construction of Lyapunov Functions on Riemannian Manifold. - Xingbo Fu, Xuan Di, Zhaobin Mo:
When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning. - Zhijun Zhang, Kai Niu, Jincheng Dai, Chao Dong:
Polar-Slotted ALOHA over Slot Erasure Channels. - Mingyu Guo, Zhenghui Wang, Yuko Sakurai:
Gini Index based Initial Coin Offering Mechanism. - Bireswar Das, Shivdutt Sharma, P. R. Vaidyanathan:
Space Efficient Representations of Finite Groups. - Gianluca Ceruti, Christian Lubich, Hanna Walach:
Time integration of tree tensor networks. - Swapnil Ashok Jadhav:
Detecting Potential Topics In News Using BERT, CRF and Wikipedia. - Fadhil Firyaguna, Jacek Kibilda, Carlo Galiotto, Nicola Marchetti:
Performance Analysis of Indoor mmWave Networks with Ceiling-Mounted Access Points. - Simone Bianco, Luigi Celona, Paolo Napoletano, Raimondo Schettini:
Disentangling Image Distortions in Deep Feature Space. - Hao-Chung Cheng, Baris Nakiboglu:
Refined Strong Converse for the Constant Composition Codes. - Jaime Pizarroso, José Portela, Antonio Muñoz:
NeuralSens: Sensitivity Analysis of Neural Networks. - Tanmoy Mondal, L. E. Thi Thuy Trang, Mickaël Coustaty, Jean-Marc Ogier:
Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images. - Marcus Kaiser:
Computation of Dynamic Equilibria in Series-Parallel Networks. - Peter Michael Habelitz, Janis Keuper:
PHS: A Toolbox for Parallel Hyperparameter Search. - Xiaoyue Zhang, Weijian Jian, Yu Chen, Shihting Yang:
Deform-GAN: An Unsupervised Learning Model for Deformable Registration. - Robert C. Free:
Simpler handling of clinical concepts in R with clinconcept. - Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Semantic Video Segmentation with Per-frame Inference. - Kira Vinogradova, Alexandr Dibrov, Gene Myers:
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping. - Václav Mácha, Lukás Adam, Václav Smídl:
Nonlinear classifiers for ranking problems based on kernelized SVM. - Aris Filos-Ratsikas, Alexandros Hollender, Katerina Sotiraki, Manolis Zampetakis:
Consensus-Halving: Does it Ever Get Easier? - Nijat Shukurov:
Mathematical Construction of Interpolation and Extrapolation Function by Taylor Polynomials. - Nirav Bhavsar, Prashanth L. A.:
Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization. - Maarten Buyl, Tijl De Bie:
DeBayes: a Bayesian method for debiasing network embeddings. - Dongjun Wu:
On Geometric and Lyapunov Characterizations of Incremental Stable Systems on Finsler Manifolds. - Christian Kreuzer, Rüdiger Verfürth, Pietro Zanotti:
Quasi-optimal and pressure robust discretizations of the Stokes equations by moment- and divergence-preserving operators. - Pablo V. A. Barros, Alessandra Sciutti, Inge M. Hootsmans, Lena M. Opheij, Romain H. A. Toebosch, Emilia I. Barakova:
It's Food Fight! Introducing the Chef's Hat Card Game for Affective-Aware HRI. - Barbara König, Christina Mika-Michalski, Lutz Schröder:
Explaining Non-Bisimilarity in a Coalgebraic Approach: Games and Distinguishing Formulas. - Michal Feldman, Yuval Snappir, Tami Tamir:
The Efficiency of Best-Response Dynamics. - Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Robin Karlsson, Erik Sjoberg:
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision. - Christopher A. Tucker:
A machine-learning software-systems approach to capture social, regulatory, governance, and climate problems. - Ioannis Avgouleas, Nikolaos Pappas, Vangelis Angelakis:
Cacheable and Non-Cacheable Traffic Interplay in a Relay-Assisted Wireless Network. - Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
CookGAN: Meal Image Synthesis from Ingredients. - Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann:
Probabilistic approach to physical object disentangling. - Sanghyun Hong, Varun Chandrasekaran, Yigitcan Kaya, Tudor Dumitras, Nicolas Papernot:
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping. - Huiling Zhu, Xin Luo, Hankz Hankui Zhuo:
Dual Graph Representation Learning. - Manuel Fernández-Carmona, Nicola Bellotto:
Wavelet-based Temporal Forecasting Models of Human Activities for Anomaly Detection. - Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Equitable Allocations of Indivisible Chores. - Vitaly Aksenov, Dan Alistarh, Janne H. Korhonen:
Relaxed Scheduling for Scalable Belief Propagation. - Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal:
Using Distributional Thesaurus Embedding for Co-hyponymy Detection. - Kashif Zia:
A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things. - Amar Isli:
Arc-Consistency computes the minimal binarised domains of an STP. Use of the result in a TCSP solver, in a TCSP-based job shop scheduler, and in generalising Dijkstra's one-to-all algorithm. - Amar Isli:
Buchi automata augmented with spatial constraints: simulating an alternating with a nondeterministic and deciding the emptiness problem for the latter. - Alberto Gandolfi:
Decidability of Sample Complexity of PAC Learning in finite setting. - Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
Network Representation Learning for Link Prediction: Are we improving upon simple heuristics? - Endrit Dosti, Mohammad Shehab, Hirley Alves, Matti Latva-aho:
Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes. - Kornilios Kourtis, Animesh Trivedi, Nikolas Ioannou:
Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF. - Mano Vikash Janardhanan, Lev Reyzin:
On Learning a Hidden Directed Graph with Path Queries. - Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang:
A Survey towards Federated Semi-supervised Learning. - David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis:
Query-Efficient Correlation Clustering. - Sukai Wang, Yuxiang Sun, Chengju Liu, Ming Liu:
PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds. - Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos:
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments. - Maximiliano Cristiá, Andrea Fois, Gianfranco Rossi:
Declarative Programming with Intensional Sets in Java Using JSetL. - Rohitkumar Arasanipalai, Aakriti Agrawal, Debasish Ghose:
Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning. - Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif:
Randomization matters. How to defend against strong adversarial attacks. - Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, Peijin Wang, Weiming Hu, Zhengjun Zha:
Object Relational Graph with Teacher-Recommended Learning for Video Captioning. - Leslie Rice, Eric Wong, J. Zico Kolter:
Overfitting in adversarially robust deep learning. - Matthew Deakin, Sarah Sheehy, David M. Greenwood, Sara Walker, Philip C. Taylor:
Calculations of System Adequacy Considering Heat Transition Pathways. - Junjia Liu, Jiaying Shou, Zhuang Fu, Hangfei Zhou, Rongli Xie, Jun Zhang, Jian Fei, Yanna Zhao:
Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge. - Pratyuksh Bansal, Andrea Moiola, Ilaria Perugia, Christoph Schwab:
Space-time discontinuous Galerkin approximation of acoustic waves with point singularities. - Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
NestedVAE: Isolating Common Factors via Weak Supervision. - Ali H. Majeed, Esam Alkaldy, Mohd Shamian bin Zainal, Danial bin Md. Nor:
Synchronous Counter Design Using Novel Level Sensitive T-FF in QCA Technology. - Carolyn Kim, Mohsen Bayati:
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling. - Evgenia Christoforou, Alessandro Nordio, Alberto Tarable, Emilio Leonardi:
Ranking a set of objects: a graph based least-square approach. - Vicent Cholvi, Antonio Fernández Anta, Chryssis Georgiou, Nicolas C. Nicolaou, Michel Raynal:
Appending Atomically in Byzantine Distributed Ledgers. - Markus Bläser, Julian Dörfler, Christian Ikenmeyer:
On the complexity of evaluating highest weight vectors. - Florian Fischer, Arthur Fleig, Markus Klar, Lars Grüne, Jörg Müller:
An Optimal Control Model of Mouse Pointing Using the LQR. - Puning Zhao, Lifeng Lai:
Minimax Optimal Estimation of KL Divergence for Continuous Distributions. - Frederik Harder, Kamil Adamczewski, Mijung Park:
Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation. - Jiahao Su, Shiqi Wang, Furong Huang:
ARMA Nets: Expanding Receptive Field for Dense Prediction. - Eren Sezener, Marcus Hutter, David Budden, Jianan Wang, Joel Veness:
Online Learning in Contextual Bandits using Gated Linear Networks. - Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
The Differentially Private Lottery Ticket Mechanism. - Steven T. Dougherty, Joe Gildea, Adrian Korban, Abidin Kaya:
Composite Matrices from Group Rings, Composite G-Codes and Constructions of Self-Dual Codes. - Alexandre Talon:
Intensive use of computing resources for dominations in grids and other combinatorial problems. - Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. - (Withdrawn) A Polynomial Time Algorithm for Almost Optimal Vertex Fault Tolerant Spanners.
- Till Koebe:
Better coverage, better outcomes? Mapping mobile network data to official statistics using satellite imagery and radio propagation modelling. - Subhankar Mishra:
Election in India: Polling in National Financial Switch. - Giorgio Barnabò, Adriano Fazzone, Stefano Leonardi, Chris Schwiegelshohn:
Algorithms for Fair Team Formation in Online Labour Marketplaces. - Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo, Antonio Fariña:
Revisiting compact RDF stores based on k2-trees. - Muhidin Mohamed:
Trends of digitalization and adoption of big data & analytics among UK SMEs: Analysis and lessons drawn from a case study of 53 SMEs. - Youngnam Lee, Dongmin Shin, Hyunbin Loh, Jaemin Lee, Piljae Chae, Junghyun Cho, Seoyon Park, Jinhwan Lee, Jineon Baek, Byungsoo Kim, Youngduck Choi:
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment. - Gregory Falco:
Death by AI: Where Assured Autonomy in Smart Cities Meets the End-to-End Argument. - Nicholas J. Tierney, Karthik Ram:
A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility. - (Withdrawn) Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels.
- Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao:
CausalML: Python Package for Causal Machine Learning. - Manuel Kaspar, Juan David Muñoz Osorio, Jürgen Bock:
Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization. - Eduardo Graells-Garrido, Irene Meta, Feliu Serra-Burriel, Patricio Reyes, Fernando M. Cucchietti:
Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data. - Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Learning Navigation Costs from Demonstration in Partially Observable Environments. - Swapnil Ashok Jadhav:
Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers. - Hugo Proença, Ehsan Yaghoubi, Pendar Alirezazadeh:
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems. - Daniele Rama, Yelena Mejova, Michele Tizzoni, Kyriaki Kalimeri, Ingmar Weber:
Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide. - Rahul Chandan, Keith Paarporn, Jason R. Marden:
When showing your hand pays off: Announcing strategic intentions in Colonel Blotto games. - Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata:
Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents. - Hussein Mozannar, Mesrob I. Ohannessian, Nathan Srebro:
Fair Learning with Private Demographic Data. - R. Wes Baldwin, Mohammed Almatrafi, Jason R. Kaufman, Vijayan K. Asari, Keigo Hirakawa:
Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras. - Aurélie Beynier, Nicolas Maudet, Simon Rey, Parham Shams:
An Optimal Procedure to Check Pareto-Optimality in House Markets with Single-Peaked Preferences. - Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum:
Compact Representation of Uncertainty in Hierarchical Clustering. - Qingguo Hong, Jun Hu, Limin Ma, Jinchao Xu:
An Extended Galerkin Analysis for Linear Elasticity with Strongly Symmetric Stress Tensor. - Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Charles W. Fox:
Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking. - Ilyes Kacher, Maxime Portaz, Hicham Randrianarivo, Sylvain Peyronnet:
Graphcore C2 Card performance for image-based deep learning application: A Report. - Jingwei Huang, Adrian V. Gheorghe, Holly Handley, Pilar Pazos, Ariel C. Pinto, Samuel F. Kovacic, Andy Collins, Charles B. Keating, Andres Sousa-Poza, Ghaith Rabadi, Resit Unal, Teddy Cotter, Rafael E. Landaeta, Charles Daniels:
Towards Digital Engineering - The Advent of Digital Systems Engineering. - M. Akhmouch, M. Benzakour Amine:
A corrected decoupled scheme for chemotaxis models. - Fabrizio Albertetti, Hatem Ghorbel:
Workload Prediction of Business Processes - An Approach Based on Process Mining and Recurrent Neural Networks. - Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu:
Limitations of Greed: Influence Maximization in Undirected Networks Re-visited. - Nilesh Tripuraneni, Chi Jin, Michael I. Jordan:
Provable Meta-Learning of Linear Representations. - Jaidip Kotak, Yuval Elovici:
IoT Device Identification Using Deep Learning. - Onur Günlü, Tasnad Kernetzky, Onurcan Iscan, Vladimir Sidorenko, Gerhard Kramer, Rafael F. Schaefer:
Secure and Reliable Key Agreement with Physical Unclonable Functions. - Adrián Gómez-Brandón:
Bitvectors with runs and the successor/predecessor problem. - Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
The Emerging Landscape of Explainable AI Planning and Decision Making. - Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun:
CLARA: Clinical Report Auto-completion. - Alexander C. Li, Lerrel Pinto, Pieter Abbeel:
Generalized Hindsight for Reinforcement Learning. - Joseph Tassone, Salimur Choudhury:
Algorithms for Optimizing Fleet Scheduling of Air Ambulances. - Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu:
FedCoin: A Peer-to-Peer Payment System for Federated Learning. - Fei Ma, Ping Wang:
Trapping problem on star-type graphs with applications. - Taniya Seth, Pranab K. Muhuri:
Type-2 Fuzzy Set based Hesitant Fuzzy Linguistic Term Sets for Linguistic Decision Making. - Constance Thierry, Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin:
Modelisation de l'incertitude et de l'imprecision de donnees de crowdsourcing : MONITOR. - Süleyman Yildiz, Murat Uzunca, Bülent Karasözen:
Structure-preserving Reduced Order Modeling of non-traditional Shallow Water Equation. - Massimo Frittelli, Anotida Madzvamuse, Ivonne Sgura:
Bulk-surface virtual element method for systems of coupled bulk-surface PDEs in two-space dimensions. - Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. - Matthias R. Hohmann, Lisa Konieczny, Michelle Hackl, Brian Wirth, Talha Zaman, Raffi Enficiaud, Moritz Grosse-Wentrup, Bernhard Schölkopf:
MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware. - Maria Han Veiga, Philipp Öffner, Davide Torlo:
DeC and ADER: Similarities, Differences and an Unified Framework. - Max Wolff:
Attacking Neural Text Detectors. - Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. - Dongfang Zhao, Tonglin Li:
Distributed Cross-Blockchain Transactions. - Tom Hanika, Johannes Hirth:
Knowledge Cores in Large Formal Contexts. - Mayuresh Kunjir, Shivnath Babu:
Black or White? How to Develop an AutoTuner for Memory-based Analytics [Extended Version]. - Xinjian Li, Siddharth Dalmia, David R. Mortensen, Juncheng Li, Alan W. Black, Florian Metze:
Towards Zero-shot Learning for Automatic Phonemic Transcription. - Yucheng Lu, Christopher De Sa:
Moniqua: Modulo Quantized Communication in Decentralized SGD. - Julius Reiss:
Optimization-based modal decomposition for systems with multiple transports. - Yinjun Wu, Val Tannen, Susan B. Davidson:
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models. - Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez:
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. - Sicheng Zhu, Xiao Zhang, David Evans:
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. - Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W. Black, Florian Metze:
Universal Phone Recognition with a Multilingual Allophone System. - Naman Agarwal, Rohan Anil, Elad Hazan, Tomer Koren, Cyril Zhang:
Disentangling Adaptive Gradient Methods from Learning Rates. - Xiao Xu, Qing Zhao:
Memory-Constrained No-Regret Learning in Adversarial Bandits. - Sundar Krishnan:
Exploitation of Human Trust, Curiosity and Ignorance by Malware. - Shuang Li, Peter J. Smith, Pawel A. Dmochowski, Harsh Tataria, Michail Matthaiou, Jingwei Yin:
Massive MIMO Asymptotics for Ray-Based Propagation Channels. - Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning. - Miaoyun Zhao, Yulai Cong, Lawrence Carin:
On Leveraging Pretrained GANs for Limited-Data Generation. - Qingyuan Zheng, Zhuoru Li, Adam Bargteil:
Learning to Shade Hand-drawn Sketches. - Lucas Layman, Yang Song, Curry I. Guinn:
Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis. - Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew:
Streaming Active Deep Forest for Evolving Data Stream Classification. - Therese Biedl, Fabian Klute:
Finding large matchings in 1-planar graphs of minimum degree 3. - Ankit Raj, Yoram Bresler, Bo Li:
Improving Robustness of Deep-Learning-Based Image Reconstruction. - Shihao Jiang, Dylan Campbell, Miaomiao Liu, Stephen Gould, Richard Hartley:
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization. - Konstantin Berlin, Ajay Lakshminarayanarao:
A Simple and Agile Cloud Infrastructure to Support Cybersecurity Oriented Machine Learning Workflows. - Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. - Nicolas Dupin:
Polynomial algorithms for p-dispersion problems in a 2d Pareto Front. - Jean Harb, Tom Schaul, Doina Precup, Pierre-Luc Bacon:
Policy Evaluation Networks. - Agnieszka Dutkowska-Zuk, Austin Hounsel, Andre Xiong, Marshini Chetty, Nick Feamster, Molly Roberts, Brandon Stewart:
Practicing Safe Browsing: Understanding How and Why University Students Use Virtual Private Networks. - Davide Bacciu, Danilo P. Mandic:
Tensor Decompositions in Deep Learning. - Caitlin Kuhlman, Latifa Jackson, Rumi Chunara:
No computation without representation: Avoiding data and algorithm biases through diversity. - George C. Alexandropoulos, Md Atiqul Islam, Besma Smida:
Full Duplex Hybrid A/D Beamforming with Reduced Complexity Multi-Tap Analog Cancellation. - Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain:
Towards Universal Representation Learning for Deep Face Recognition. - Ruthvik Vaila, John N. Chiasson, Vishal Saxena:
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification. - Paul Sheridan, Mikael Onsjö:
A hypergeometric test interpretation of a common tf-idf variant. - Ankush Garg, Yuan Cao, Qi Ge:
Echo State Neural Machine Translation. - Ruotian Luo, Gregory Shakhnarovich:
Analysis of diversity-accuracy tradeoff in image captioning. - Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love:
Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. - John Maclean, J. E. Bunder, Anthony J. Roberts:
A multiscale scheme accurately simulates macroscale shocks in an equation-free framework. - Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa:
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. - Zhao Jin, Ziyi Zhao, Chen Luo, Franco Basti, Adrian Solomon, Mustafa Cenk Gursoy, Carlos Caicedo, Qinru Qiu:
Simulation of Real-time Routing for UAS traffic Management with Communication and Airspace Safety Considerations. - Anas Daghistani, Walid G. Aref, Arif Ghafoor, Ahmed R. Mahmood:
SWARM: Adaptive Load Balancing in Distributed Streaming Systems for Big Spatial Data. - Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering. - Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. - Anurag Sarkar, Zhihan Yang, Seth Cooper:
Controllable Level Blending between Games using Variational Autoencoders. - Junjia Liu, Huimin Zhang, Zhuang Fu, Yao Wang:
Gamma-Reward: A Novel Multi-Agent Reinforcement Learning Method for Traffic Signal Control. - Guojun Zhang, Pascal Poupart, Yaoliang Yu:
Optimality and Stability in Non-Convex-Non-Concave Min-Max Optimization. - Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi:
Stochastic Matching with Few Queries: (1-ε) Approximation. - Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs:
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. - Ngoc Duy Nguyen, Thanh Thi Nguyen, Saeid Nahavandi:
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning. - Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen, Saeid Nahavandi:
Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework. - Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. - Aming Wu, Yahong Han:
Hierarchical Memory Decoding for Video Captioning. - Luke Metz, Niru Maheswaranathan, Ruoxi Sun, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein:
Using a thousand optimization tasks to learn hyperparameter search strategies. - Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
HAM: Hybrid Associations Model with Pooling for Sequential Recommendation. - Liang He, Zherong Pan, Biao Jia, Dinesh Manocha:
Efficient Multi-Agent Motion Planning in Continuous Workspaces Using Medial-Axis-Based Swap Graphs. - Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, Minlie Huang:
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset. - Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization. - Pedro Quaresma, Walther Neuper, João Marcos:
Proceedings 8th International Workshop on Theorem Proving Components for Educational Software, ThEdu@CADE 2019, Natal, Brazil, 25th August 2019. EPTCS 313, 2020 [contents] - Robert A. Giaquinto, Arindam Banerjee:
Gradient Boosted Flows. - Jamal Lottier Molin, Chetan Singh Thakur, Ralph Etienne-Cummings, Ernst Niebur:
A Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation. - Jesse Haviland, Peter Corke:
Maximising Manipulability During Resolved-Rate Motion Control. - Tae Won Kim, Yeseong Park, Youngbin Park, Il Hong Suh:
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image. - Hu Ding, Zixiu Wang:
Layered Sampling for Robust Optimization Problems. - Yanmei Jiao, Yue Wang, Bo Fu, Qimeng Tan, Lei Chen, Shoudong Huang, Rong Xiong:
Globally optimal consensus maximization for robust visual inertial localization in point and line map. - Yi Chu, Chuan Luo, Holger H. Hoos, Qingwei Lin, Haihang You:
Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization. - Zhaoheng Gong, Ping Chen, Jiang Zhou:
Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text. - Asif Ahmed Neloy, Rafia Alif Bindu, Sazid Alam, Ridwanul Haque, Md. Saif Ahammod Khan, Nasim Mahmud Mishu, Shahnewaz Siddique:
Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System. - Binjie Li, Tao Wang, Xiaoping Xie:
Numerical analysis of two Galerkin discretizations with graded temporal grids for fractional evolution equations. - Yao Yao, Chen Gong, Jiehui Deng, Jian Yang:
Network Cooperation with Progressive Disambiguation for Partial Label Learning. - Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain:
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. - Hu Ding, Ruizhe Qin, Jiawei Huang:
The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization with Outliers. - Jun Li, Sinisa Todorovic:
Set-Constrained Viterbi for Set-Supervised Action Segmentation. - Abduallah A. Mohamed, Kun Qian, Mohamed Elhoseiny, Christian G. Claudel:
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction. - Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. - Hu Ding, Fan Yang:
On Metric DBSCAN with Low Doubling Dimension. - Tomojit Ghosh, Michael Kirby:
Supervised Dimensionality Reduction and Visualization using Centroid-encoder. - Yamin Yan, Sonja Stüdli, María M. Seron, Richard H. Middleton:
Analysis of Attack via Grounding and Countermeasures in Discrete-Time Consensus Networks. - Hong-Xing Yu, Wei-Shi Zheng:
Weakly supervised discriminative feature learning with state information for person identification. - Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong:
How Much Can A Retailer Sell? Sales Forecasting on Tmall. - Mirai Ikebuchi:
A Lower Bound of the Number of Rewrite Rules Obtained by Homological Methods. - Rafia Alif Bindu, Asif Ahmed Neloy, Sazid Alam, Nusrat Jahan Moni, Shahnewaz Siddique:
Sigma-3: Integration and Analysis of a 6 DOF Robotic Arm Configuration in a Rescue Robot. - Sumon Kumar Bose, Jyotibdha Acharya, Arindam Basu:
Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering. - Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Features for Ground Texture Based Localization - A Survey. - Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation from Biased Training. - Elise van der Pol, Thomas N. Kipf, Frans A. Oliehoek, Max Welling:
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. - Alessio Fumagalli, Anna Scotti, Luca Formaggia:
Performances of the mixed virtual element method on complex grids for underground flow. - Zan Gao, Haixin Xue, Shaohua Wan:
Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval. - Xian-Ming Gu, Hai-Wei Sun, Yanzhi Zhang, Yong-Liang Zhao:
Fast implicit difference schemes for time-space fractional diffusion equations with the integral fractional Laplacian. - Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu:
Adapted tree boosting for Transfer Learning. - Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Deming Chen, Marianne Winslett, Hassan Sajjad, Preslav Nakov:
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT. - Vanessa Styles, James Van Yperen:
Finite element approximation of a system coupling curve evolution with prescribed normal contact to a fixed boundary to reaction-diffusion on the curve. - Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings:
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. - Zhenisbek Assylbekov, Alibi Jangeldin:
Binarized PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces. - Sofia Seinfeld, Tiare M. Feuchtner, Johannes Pinzek, Jörg Müller:
Impact of Information Placement and User Representations in VR on Performance and Embodiment. - Andrey Kolobov, Sébastien Bubeck, Julian Zimmert:
Online Learning for Active Cache Synchronization. - Janosch Preuß, Thorsten Hohage, Christoph Lehrenfeld:
Sweeping preconditioners for stratified media in the presence of reflections. - Seong Min Kye, Haebeom Lee, Hoirin Kim, Sung Ju Hwang:
Transductive Few-shot Learning with Meta-Learned Confidence. - Sofia Seinfeld, Jörg Müller:
Impact of Visuomotor Feedback on the Embodiment of Virtual Hands Detached from the Body. - Felicitas Löffler, Valentin Wesp, Birgitta König-Ries, Friederike Klan:
Dataset Search In Biodiversity Research: Do Metadata In Data Repositories Reflect Scholarly Information Needs? - Paul Duetting, Tim Roughgarden, Inbal Talgam-Cohen:
The Complexity of Contracts. - Francisco Javier Baldan, José Manuel Benítez:
Complexity Measures and Features for Times Series classification. - Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang:
Attention-guided Chained Context Aggregation for Semantic Segmentation. - Jiarong Chen, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
XSepConv: Extremely Separated Convolution. - Ethan Harris, Antonia Marcu, Matthew Painter, Mahesan Niranjan, Adam Prügel-Bennett, Jonathon S. Hare:
Understanding and Enhancing Mixed Sample Data Augmentation. - Nieves R. Brisaboa, Antonio Fariña, Gonzalo Navarro, Tirso V. Rodeiro:
Semantrix: A Compressed Semantic Matrix. - Danijela Horak, Simiao Yu, Gholamreza Salimi Khorshidi:
Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks. - Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou:
DSSLP: A Distributed Framework for Semi-supervised Link Prediction. - Jiacheng Li, Ninghui Li, Bruno Ribeiro:
Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap. - Nahema Marchal, Bence Kollanyi, Lisa-Maria Neudert, Hubert Au, Philip N. Howard:
Junk News & Information Sharing During the 2019 UK General Election. - Fan Wu, Matthew Howard:
Exploiting Variable Impedance for Energy Efficient Sequential Movements. - Sampo Kuutti, Saber Fallah, Richard Bowden:
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies. - Jens Lang, Bernhard A. Schmitt:
Discrete Adjoint Implicit Peer Methods in Optimal Control. - Tomás Brázdil, Krishnendu Chatterjee, Petr Novotný, Jiri Vahala:
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes. - Ke Lin, Liang Gong, Xudong Li, Te Sun, Binhao Chen, Chengliang Liu, Zhengfeng Zhang, Jian Pu, Junping Zhang:
Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control. - Andre Bruns, Christine Rimmert, Niels C. Taubert:
Who pays? Comparing cost sharing models for a Gold Open Access publication environment. - Martins Bruveris, Jochem Gietema, Pouria Mortazavian, Mohan Mahadevan:
Reducing Geographic Performance Differential for Face Recognition. - Amardeep Mishra, Satadal Ghosh:
Simultaneous Identification and Optimal Tracking Control of Unknown Continuous Time Nonlinear System Using Integral Reinforcement Learning. - Hiteshi Jain, Gaurav Harit, Avinash Sharma:
Action Quality Assessment using Siamese Network-Based Deep Metric Learning. - Ayan Das, Sudeshna Sarkar:
Improving cross-lingual model transfer by chunking. - Muhammad Zakwan, Saeed Ahmed:
Dwell-Time Based Stability Analysis L2 Control of LPV Systems with Piecewise Constant Parameters and Delay. - Majid Afshar, Hamid Usefi:
High-Dimensional Feature Selection for Genomic Datasets. - Evelien Schat, Rens van de Schoot, Wouter M. Kouw, Duco Veen, Adriënne M. Mendrik:
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity. - Avinash Paliwal, Nima Khademi Kalantari:
Deep Slow Motion Video Reconstruction with Hybrid Imaging System. - Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes:
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. - Yoji Yamato:
Improvement of Automatic GPU Offloading Technology for Application Loop Statements. - Argyrios Deligkas, John Fearnley, Rahul Savani:
Tree Polymatrix Games are PPAD-hard. - Chnoor M. Rahman, Tarik A. Rashid:
A Survey on Dragonfly Algorithm and its Applications in Engineering. - Thomas Apel, Volker Kempf, Alexander Linke, Christian Merdon:
A nonconforming pressure-robust finite element method for the Stokes equations on anisotropic meshes. - Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization. - Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. - Riya Aggarwal, Mike Meylan, Bishnu P. Lamichhane, Chris Wensrich:
Energy Resolved Neutron Imaging for Strain Reconstruction using the Finite Element Method. - Ramanujam Madhavan, Mohit Wadhwa:
Fairness-Aware Learning with Prejudice Free Representations. - George Cevora:
Fair Adversarial Networks. - Fares Elsabbagh, Blaise Tine, Priyadarshini Roshan, Ethan Lyons, Euna Kim, Da Eun Shim, Lingjun Zhu, Sung Kyu Lim, Hyesoon Kim:
Vortex: OpenCL Compatible RISC-V GPGPU. - Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Cautious Reinforcement Learning with Logical Constraints. - Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li:
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm. - Anupam Gupta, Sahil Singla:
Random-Order Models. - Jacky Liang, Ankur Handa, Karl Van Wyk, Viktor Makoviychuk, Oliver Kroemer, Dieter Fox:
In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation. - Ying Chen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang:
On the Capacity of Fractal D2D Social Networks with Hierarchical Communications. - Hao Cheng, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, Xue Lin:
Defending against Backdoor Attack on Deep Neural Networks. - Varun Mannam, Arman Kazemi:
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs. - Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao:
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. - Sicheng Zhao, Bo Li, Colorado Reed, Pengfei Xu, Kurt Keutzer:
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey. - Eric Adjakossa, Yannig Goude, Olivier Wintenberger:
Kalman Recursions Aggregated Online. - Tabish Rashid, Bei Peng, Wendelin Böhmer, Shimon Whiteson:
Optimistic Exploration even with a Pessimistic Initialisation. - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unsupervised Video Representation Learning. - Jide Yuan, Hien Quoc Ngo, Michail Matthaiou:
Large intelligent surface (LIS)-based communications: New features and system layouts. - Zhedong Zheng, Yunchao Wei, Yi Yang:
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization. - Aniruddha Tammewar, Alessandra Cervone, Eva-Maria Messner, Giuseppe Riccardi:
Annotation of Emotion Carriers in Personal Narratives. - Markus Bachmayr, Emil Kieri, André Uschmajew:
Existence of dynamical low-rank approximations to parabolic problems. - Hengrui Jia, Christopher A. Choquette-Choo, Nicolas Papernot:
Entangled Watermarks as a Defense against Model Extraction. - Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun:
Visual Commonsense R-CNN. - Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Assembly robots with optimized control stiffness through reinforcement learning. - Krzysztof Fiok, Waldemar Karwowski, Maciej Wilamowski:
Prediction of adverse events in Afghanistan: regression analysis of time series data grouped not by geographic dependencies. - Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, Jian-Jun Zhang:
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image. - Jae Woong Soh, Sunwoo Cho, Nam Ik Cho:
Meta-Transfer Learning for Zero-Shot Super-Resolution. - Pegah Rokhforoz, Blazhe Gjorgiev, Giovanni Sansavini, Olga Fink:
Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market. - Yucheng Wang, Yuhao Yi, Wanyue Xu, Zhongzhi Zhang:
Edge corona product as an approach to modeling complex simplical networks. - Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim:
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks. - Michael J. Waters, Jessica M. Walker, Christopher T. Nelson, Derek Joester, James M. Rondinelli:
Exploiting Colorimetry for Fidelity in Data Visualization. - You Lu, Bert Huang:
Woodbury Transformations for Deep Generative Flows. - Zakaria Mhammedi, Wouter M. Koolen:
Lipschitz and Comparator-Norm Adaptivity in Online Learning. - Jay Gopalakrishnan, Joachim Schöberl, Christoph Wintersteiger:
Structure aware Runge-Kutta time stepping for spacetime tents. - Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. - Carlo Tiseo, Wolfgang Merkt, Wouter Wolfslag, Sethu Vijayakumar, Michael N. Mistry:
Safe and Compliant Control of Redundant Robots Using a Stack of Passive Task-Space Controllers. - (Withdrawn) The Complexity of Finding Tangles.
- Usman Sajid, Hasan Sajid, Hongcheng Wang, Guanghui Wang:
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images. - Max Ruby, David S. Bolme, Joel Brogan, David Cornett III, Baldemar Delgado, Gavin Jager, Christi Johnson, Jose Martinez-Mendoza, Hector J. Santos-Villalobos, Nisha Srinivas:
The Mertens Unrolled Network (MU-Net): A High Dynamic Range Fusion Neural Network for Through the Windshield Driver Recognition. - Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao:
Blurry Video Frame Interpolation. - Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia:
Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment. - Rui Paiva, Benjamín R. C. Bedregal, Regivan H. N. Santiago:
Residuated implications derived from quasi-overlap functions on lattices. - Joong Gon Yim, Yilin Wang, Neil Birkbeck, Balu Adsumilli:
Subjective Quality Assessment for YouTube UGC Dataset. - Meshal Alfarhood, Jianlin Cheng:
CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles. - Arnab Sharma, Heike Wehrheim:
Testing Monotonicity of Machine Learning Models. - Claudio Gallicchio, Simone Scardapane:
Deep Randomized Neural Networks. - Roberta Raileanu, Tim Rocktäschel:
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. - Rei Ito, Mineto Tsukada, Hiroki Matsutani:
An On-Device Federated Learning Approach for Cooperative Anomaly Detection. - Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. - Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. - Liwei Wu:
Advances in Collaborative Filtering and Ranking. - Robin A. Brown, Federico Rossi, Kiril Solovey, Michael T. Wolf, Marco Pavone:
On Local Computation for Optimization in Multi-Agent Systems. - Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs:
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. - Yi-Chi Liao, Sunjun Kim, Byungjoo Lee, Antti Oulasvirta:
Press'Em: Simulating Varying Button Tactility via FDVV Models. - Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger:
The Spectral Underpinning of word2vec. - Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon:
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. - Markus Frings, Norbert Hosters, Corinna Müller, Max Spahn, Christoph Susen, Konstantin Key, Stefanie Elgeti:
SplineLib: A Modern Multi-Purpose C++ Spline Library. - Eric Brachmann, Carsten Rother:
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC. - Ioana Bica, James Jordon, Mihaela van der Schaar:
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks. - Anna Rogers, Olga Kovaleva, Anna Rumshisky:
A Primer in BERTology: What we know about how BERT works. - Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. - Manuel P. Cuéllar, José Gómez-Torrecillas, Francisco Javier Lobillo, Gabriel Navarro:
Genetic algorithms with permutation-based representation for computing the distance of linear codes. - Amirata Ghorbani, Michael P. Kim, James Y. Zou:
A Distributional Framework for Data Valuation. - Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar:
Hallucinative Topological Memory for Zero-Shot Visual Planning. - Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Self-Supervised Deep Pose Corrections for Robust Visual Odometry. - Christopher Malon, Bing Bai:
Generating Followup Questions for Interpretable Multi-hop Question Answering. - Shuyue Guan, Murray H. Loew:
Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images. - Vasileios Vasilopoulos, Georgios Pavlakos, Sean L. Bowman, J. Diego Caporale, Kostas Daniilidis, George J. Pappas, Daniel E. Koditschek:
Technical Report: Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback. - Dan Reznik, Ronaldo Garcia, Jair Koiller:
Loci of 3-Periodics in an Elliptic Billiard: Intriguing Phenomena. - Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye:
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. - Jun-Jie Huang, Pier Luigi Dragotti:
Learning Deep Analysis Dictionaries - Part II: Convolutional Dictionaries. - Martin Sechný:
Open IT tools for inquiry-based physics education. - Steve Tsham Mpinda Ataky, Jonathan de Matos, Alceu de Souza Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich:
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending. - Duzhe Wang, Haoda Fu, Po-Ling Loh:
Boosting Algorithms for Estimating Optimal Individualized Treatment Rules. - Antoine Lesage-Landry, Duncan S. Callaway:
Dynamic and Distributed Online Convex Optimization for Demand Response of Commercial Buildings. - Davide Bacciu, Alessio Micheli, Marco Podda:
Edge-based sequential graph generation with recurrent neural networks. - Adam Block, Youssef Mroueh, Alexander Rakhlin:
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling. - Hossein Talebi, Damien Kelly, Xiyang Luo, Ignacio Garcia-Dorado, Feng Yang, Peyman Milanfar, Michael Elad:
Better Compression with Deep Pre-Editing. - Ali Foroughi Pour, Lori A. Dalton:
On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations. - Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Najim Dehak:
Analysis of Deep Feature Loss based Enhancement for Speaker Verification. - Shuhang Zhang, Hongliang Zhang, Lingyang Song, Zhu Han, H. Vincent Poor:
Sensing and Communication Tradeoff Design for AoI Minimization in a Cellular Internet of UAVs. - Frank Sottile:
General witness sets for numerical algebraic geometry. - Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini:
The Statistical Complexity of Early Stopped Mirror Descent. - Wenjie Liu, Peipei Gao, Zhihao Liu, Hanwu Chen, Maojun Zhang:
A Quantum-based Database Query Scheme for Privacy Preservation in Cloud Environment. - Kun Zhou, Berrak Sisman, Haizhou Li:
Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data. - Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network. - Thanuja D. Ambegoda, Julien N. P. Martel, Jozef Adamcik, Matthew Cook, Richard H. R. Hahnloser:
Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes. - James N. Damon:
Rigidity Properties of the Blum Medial Axis. - Szymon Wozniak, Konrad Kowalczyk:
Exploiting Rays in Blind Localization of Distributed Sensor Arrays. - V. V. Kuznetsov, V. A. Moskalenko, Nikolai Yu. Zolotykh:
Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder. - Guannan Qu, Adam Wierman:
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning. - Shen Wang, Ahmad F. Taha, Lina Sela, Marcio Giacomoni, Nikolaos Gatsis:
A New Derivative-Free Linear Approximation for Solving the Network Water Flow Problem with Convergence Guarantees. - Johannes Feldmann, Nathan Youngblood, Maxim Karpov, Helge Gehring, Xuan Li, Manuel Le Gallo, Xin Fu, Anton Lukashchuk, Arslan Raja, Junqiu Liu, C. David Wright, Abu Sebastian, Tobias Kippenberg, Wolfram H. P. Pernice, Harish Bhaskaran:
Parallel convolution processing using an integrated photonic tensor core. - Yu Wang, Byoungwook Jang, Alfred O. Hero III:
The Sylvester Graphical Lasso (SyGlasso). - Niladri S. Chatterji, Peter L. Bartlett, Philip M. Long:
Oracle lower bounds for stochastic gradient sampling algorithms. - James Noraky, Vivienne Sze:
Depth Map Estimation of Dynamic Scenes Using Prior Depth Information. - Rémi Coulon, Elisabetta A. Matsumoto, Henry Segerman, Steve Trettel:
Non-Euclidean Virtual Reality IV: Sol. - Krzysztof J. Szajowski:
A Model of Distributed Disorders Detection. - Jwo-Yuh Wu, Wen-Hsuan Li, Liang-Chi Huang, Yen-Ping Lin, Chun-Hung Liu, Rung-Hung Gau:
Provable Noisy Sparse Subspace Clustering using Greedy Neighbor Selection: A Coherence-Based Perspective. - Chengcheng Xu, Bruno Clerckx, Shiwa Chen, Yijie Mao, Jianyun Zhang:
Rate-Splitting Multiple Access for Multi-Antenna Joint Communication and Radar Transmissions. - Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan:
Fast Generating A Large Number of Gumbel-Max Variables. - Yurii Kolomoitsev, Aleksandr V. Krivoshein, Maria Skopina:
Approximation by periodic multivariate quasi-projection operators. - Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li:
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss. - Mohammad Reza Abedi, Mohammad R. Javan, Nader Mokari, Eduard A. Jorswieck:
Dynamic Frame Structure for Next Generation Wireless Networks. - Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David N. Firmin, Jennifer Keegan:
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention. - Wenjie Liu, Zhen-Yu Chen, Jin-Suo Liu, Zhao-Feng Su, Lian-Hua Chi:
Full-Blind Delegating Private Quantum Computation. - Simone Linz, Charles Semple:
Caterpillars on three and four leaves are sufficient to reconstruct normal networks. - Hediyeh Soltanizadeh, Shahrokh Farahmand, Seyed Mohammad Razavizadeh:
Price of Anarchy in Multiuser Massive MIMO: Coordinated versus Uncoordinated Channel Tracking for High-Rate Internet of Things. - Tony Huynh, Gwenaël Joret, Piotr Micek, Michal T. Seweryn, Paul Wollan:
Excluding a ladder. - Roxana Pamfil, Nisara Sriwattanaworachai, Shaan Desai, Philip Pilgerstorfer, Paul Beaumont, Konstantinos Georgatzis, Bryon Aragam:
DYNOTEARS: Structure Learning from Time-Series Data. - Andrea Ferraguti, Giacomo Micheli:
Exceptional scatteredness in prime degree. - (Withdrawn) Interference Classification Using Deep Neural Networks.
- Jianyuan Yu:
Multiple Angles of Arrival Estimation using Neural Networks. - Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network. - Tsuyoshi Yoshida, Mikael Mazur, Jochen Schröder, Magnus Karlsson, Erik Agrell:
On the Performance under Hard and Soft Bitwise Mismatched-Decoding. - Mertkan Koca, Gökhan Görbilek, Burak Soner, Sinem Coleri:
Empirical Feasibility Analysis for Energy Harvesting Intra-Vehicular Wireless Sensor Networks. - Markus U. Müller, Nikoo Ekhtiari, Rodrigo M. Almeida, Christoph Rieke:
Super-resolution of multispectral satellite images using convolutional neural networks. - Muhammad Shahid Iqbal, Yalcin Sadi, Sinem Coleri:
Minimum Length Scheduling for Full Duplex Time-Critical Wireless Powered Communication Networks. - Ahmed Rasheed, Muhammad Shahzad Younis, Muhammad Bilal, Maha Rasheed:
Classification of Chest Diseases using Wavelet Transforms and Transfer Learning. - Luca Comanducci, Maximo Cobos, Fabio Antonacci, Augusto Sarti:
Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks. - Luca Ambrogioni, Max Hinne, Marcel van Gerven:
Automatic structured variational inference. - Pegah Salehi, Abdolah Chalechale:
Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis. - Silvia Zaoli, Piero Mazzarisi, Fabrizio Lillo:
Betweenness centrality for temporal multiplexes. - Luis Fernando Abanto-Leon, Gek Hong Sim:
Learning-based Max-Min Fair Hybrid Precoding for mmWave Multicasting. - Nicolò Gozzi, Daniela Perrotta, Daniela Paolotti, Nicola Perra:
Towards a data-driven characterization of behavioral changes induced by the seasonal flu. - Christian Kaspers, Yue Zhou:
A lower bound on the number of inequivalent APN functions. - Luis Fernando Abanto-Leon, Gek Hong Sim:
Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT. - Luis Fernando Abanto-Leon, Matthias Hollick, Gek Hong Sim:
HydraWave: Multi-Group Multicast Hybrid Precoding and Low-Latency Scheduling for Ubiquitous Industry 4.0 mmWave Communication. - Sandip Lashkare, Ashwin Bhat, Udayan Ganguly:
Temperature Dependence of Volatile Current shoot-up in PrMnO3 based Selector-less RRAM. - Shin-Yuan Wang, Wei-Han Hsiao, Kang-Lun Chiu, Chia-Chi Huang:
Multipath Division Multiple Access for 5G Millimeter Wave Cellular Systems. - Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Distance Metric Learning for Graph Structured Data. - Johannes Hofmanninger, Sebastian Röhrich, Helmut Prosch, Georg Langs:
Separation of target anatomical structure and occlusions in chest radiographs. - Christopher M. Maynard, Thomas Melvin, Eike Hermann Müller:
Multigrid preconditioners for the mixed finite element dynamical core of the LFRic atmospheric model. - Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
Data-Driven Factor Graphs for Deep Symbol Detection. - Joseph Bakarji, Daniel M. Tartakovsky:
Data-Driven Discovery of Coarse-Grained Equations. - Siddhartha Srivastava, Veera Sundararaghavan:
Machine learning in quantum computers via general Boltzmann Machines: Generative and Discriminative training through annealing. - Eliza O'Reilly, Ngoc Tran:
Stochastic geometry to generalize the Mondrian Process. - David Colmenares, Randall Kania, Miao Liu, Metin Sitti:
Characterization and Thermal Management of a DC Motor-Driven Resonant Actuator for Miniature Mobile Robots with Oscillating Limbs. - Youming Lei, Jian Hu, Jianpeng Ding:
A hybrid model based on deep LSTM for predicting high-dimensional chaotic systems. - Christian Bayer, Denis Belomestny, Paul Hager, Paolo Pigato, John Schoenmakers:
Randomized optimal stopping algorithms and their convergence analysis. - Mehdi Monemi, Hina Tabassum, Ramein Zahedi:
On the Performance of Non-Orthogonal Multiple Access (NOMA): Terrestrial vs. Aerial Networks. - Steven Thompson, Paul Fergus, Carl Chalmers, Denis Reilly:
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. - Quentin Paris:
The exponentially weighted average forecaster in geodesic spaces of non-positive curvature. - Jonathan Lacotte, Sifan Liu, Edgar Dobriban, Mert Pilanci:
Limiting Spectrum of Randomized Hadamard Transform and Optimal Iterative Sketching Methods. - Romain Fara, Dinh-Thuy Phan-Huy, Marco Di Renzo:
Ambient backscatters-friendly 5G networks: creating hot spots for tags and good spots for readers. - Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat:
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. - Soroosh Shahtalebi, Amir Asif, Arash Mohammadi:
Siamese Neural Networks for EEG-based Brain-computer Interfaces. - Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont:
Complexity Guarantees for Polyak Steps with Momentum. - Yafei Han, Pericles Christopher Zegras, Francisco Câmara Pereira, Moshe E. Ben-Akiva:
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability. - Danwei Cai, Weicheng Cai, Ming Li:
Within-sample variability-invariant loss for robust speaker recognition under noisy environments. - Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. - Yue Ruan, Samuel Marsh, Xilin Xue, Xi Li, Zhihao Liu, Jingbo Wang:
Quantum approximate algorithm for NP optimization problems with constraints. - Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck:
Differential Privacy for Stackelberg Games. - Tine Van Calster, Filip Van den Bossche, Bart Baesens, Wilfried Lemahieu:
Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective. - Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben:
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data. - Ravi Teja Nallapu, Yinan Xu, Abraham Marquez, Tristan Schuler, Jekan Thangavelautham:
The Design of a Space-based Observation and Tracking System for Interstellar Objects. - Ignacio Becker, Karim Pichara, Márcio Catelán, Pavlos Protopapas, Carlos Aguirre, Fatemeh Nikzat:
Scalable End-to-end Recurrent Neural Network for Variable star classification. - Haotian Wang, Min Xian, Aleksandar Vakanski:
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. - Olivier Pannekoucke, Ronan Fablet:
PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations. - Hongyu Li, Zifei Liang, Chaoyi Zhang, Ruiying Liu, Jing Li, Weihong Zhang, Dong Liang, Bowen Shen, Xiaoliang Zhang, Yulin Ge, Jiangyang Zhang, Leslie Ying:
Deep Learning for Highly Accelerated Diffusion Tensor Imaging. - Bryar Shareef, Min Xian, Aleksandar Vakanski:
Stan: Small tumor-aware network for breast ultrasound image segmentation. - Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Recurrent Neural Networks. - Matthew L. Malloy, Ardhendu Tripathy, Robert D. Nowak:
Optimal Confidence Regions for the Multinomial Parameter. - Parth Thaker, Gautam Dasarathy, Angelia Nedic:
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. - Jiahao Yao, Marin Bukov, Lin Lin:
Policy Gradient based Quantum Approximate Optimization Algorithm. - Shen Wang, Ahmad F. Taha, Nikolaos Gatsis, Lina Sela, Marcio Giacomoni:
Probabilistic State Estimation in Water Networks. - Chengwei Chen, Pan Chen, Lingyu Yang, Jinyuan Mo, Haichuan Song, Yuan Xie, Lizhuang Ma:
Acoustic anomaly detection via latent regularized gaussian mixture generative adversarial networks. - Zeyu Wang, Abdollah Shafieezadeh:
REAK: Reliability analysis through Error rate-based Adaptive Kriging. - Yuting Hu, Zhen Wang, Ghassan AlRegib:
Texture Classification using Block Intensity and Gradient Difference (BIGD) Descriptor. - Arun Pandey, Joachim Schreurs, Johan A. K. Suykens:
Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality. - Shahar Mendelson:
Learning bounded subsets of Lp. - Junpeng Lao, Christopher Suter, Ian Langmore, Cyril Chimisov, Ashish Saxena, Pavel Sountsov, Dave Moore, Rif A. Saurous, Matthew D. Hoffman, Joshua V. Dillon:
tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware. - Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa:
On the use of recurrent neural networks for predictions of turbulent flows. - Étienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, Nicolas Dobigeon:
Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. - Prem Prakash, Arunima Banerjee, Pavan Kumar Perepu:
Determination of the relative inclination and the viewing angle of an interacting pair of galaxies using convolutional neural networks. - Othniel J. E. Y. Konan, Amit Kumar Mishra, Stefan Lotz:
Machine Learning Techniques to Detect and Characterise Whistler Radio Waves. - Maxim Kaledin, Eric Moulines, Alexey Naumov, Vladislav Tadic, Hoi-To Wai:
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise. - Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. - Giuliano Taffoni, Ugo Becciani, Bianca Garilli, Gianmarco Maggio, Fabio Pasian, Grazia Umana, Riccardo Smareglia, Fabio Vitello:
CHIPP: INAF pilot project for HTC, HPC and HPDA. - Jukka-Pekka Humaloja, Janne Koivumäki, Lassi Paunonen, Jouni Mattila:
Decentralized Observer Design for Virtual Decomposition Control. - Sergey V. Sidorov, Nikolai Yu. Zolotykh:
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer. - (Withdrawn) Integrated Photonic FFT for Optical Convolutions towards Efficient and High-Speed Neural Networks.
- James Lin, Kevin Kilgour, Dominik Roblek, Matthew Sharifi:
Training Keyword Spotters with Limited and Synthesized Speech Data. - Vasudha Kowtha, Vikramjit Mitra, Chris Bartels, Erik Marchi, Sue Booker, William Caruso, Sachin Kajarekar, Devang Naik:
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions. - Ghasem Asadi Cordshooli, Mehdi Mirzaee:
Mean Field Theory for the Quantum Rabi Model, Inconsistency to the Rotating Wave Approximation. - Jin-Hyun Ahn, Osvaldo Simeone, Joonhyuk Kang:
Cooperative Learning via Federated Distillation over Fading Channels. - Emile R. Engelbrecht, Johan A. du Preez:
Introduction to quasi-open set semi-supervised learning for big data analytics. - Colva M. Roney-Dougal, Sergio Siccha:
Normalisers of primitive permutation groups in quasipolynomial time. - Félix del Teso, Jørgen Endal, Juan Luis Vázquez:
On the two-phase fractional Stefan problem. - Jianyuan Yu, R. Michael Buehrer:
Centimeter-Level Indoor Localization using Channel State Information with Recurrent Neural Networks. - Giles Chatham Strong:
On the impact of modern deep-learning techniques to the performance and time-requirements of classification models in experimental high-energy physics. - François Grondin, Hao Tang, James R. Glass:
Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT. - Quan Zhou, Jakub Marecek:
Proper Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimisation Problem. - Matthias C. Caro, Ishaun Datta:
Pseudo-dimension of quantum circuits. - Ju Liu, Weiguang Yang, Ingrid S. Lan, Alison L. Marsden:
Fluid-structure interaction modeling of blood flow in the pulmonary arteries using the unified continuum and variational multiscale formulation. - Kirill Shmilovich, Rachael A. Mansbach, Hythem Sidky, Olivia E. Dunne, Sayak Subhra Panda, John D. Tovar, Andrew L. Ferguson:
Discovery of Self-Assembling π-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation. - Leila Saadatifard, Aryan Mobiny, Pavel A. Govyadinov, Hien Van Nguyen, David Mayerich:
DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction. - Hyobin Kim, Stalin Muñoz, Pamela Osuna, Carlos Gershenson:
Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network. - Geoff Boeing, Jake Wegmann, Junfeng Jiao:
Rental Housing Spot Markets: How Online Information Exchanges Can Supplement Transacted-Rents Data. - Tengyuan Liang, Pragya Sur:
A Precise High-Dimensional Asymptotic Theory for Boosting and Min-L1-Norm Interpolated Classifiers. - Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön:
Linearly Constrained Neural Networks. - Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima:
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. - Jason You:
Revisit to the Inverse Exponential Radon Transform. - Cunhang Fan, Bin Liu, Jianhua Tao, Jiangyan Yi, Zhengqi Wen:
Spatial and spectral deep attention fusion for multi-channel speech separation using deep embedding features. - Jesús Arroyo, Carey E. Priebe, Vince Lyzinski:
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question. - Zhaoqiang Liu, Selwyn Gomes, Avtansh Tiwari, Jonathan Scarlett:
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors. - Özlem Tugfe Demir, Emil Björnson:
ADMM-Based One-Bit Quantized Signal Detection for Massive MIMO Systems with Hardware Impairments. - Cristian García, Antonio Pascual-Iserte, Olga Muñoz:
Analysis of Blocking in mmWave Cellular Systems: Application to Relay Positioning. - Tuomas Orponen:
Combinatorial proofs of two theorems of Lutz and Stull. - Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng:
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. - Se-In Jang:
Online Passive-Aggressive Total-Error-Rate Minimization. - Unai Pérez-Goya, M. Montesino-SanMartin, Ana F. Militino, María Dolores Ugarte:
RGISTools: Downloading, Customizing, and Processing Time Series of Remote Sensing Data in R. - JinHong Lu, Hiroshi Shimodaira:
Prediction of head motion from speech waveforms with a canonical-correlation-constrained autoencoder. - Tatjana Petrov, Denis Repin:
Automated Deep Abstractions for Stochastic Chemical Reaction Networks. - Victhor S. Sartório, Thaís C. O. Fonseca:
Dynamic clustering of time series data. - Yasuhiko Tachibana, Masataka Nishimori, Naoyuki Kitamura, Kensuke Umehara, Junko Ota, Takayuki Obata, Tatsuya Higashi:
A neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series. - Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote:
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. - Raúl Rojas:
Exploring Maximum Entropy Distributions with Evolutionary Algorithms. - Zahra Sobhaninia, Safiyeh Rezaei, Nader Karimi, Ali Emami, Shadrokh Samavi:
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales. - Vaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood:
Multimodal fusion of imaging and genomics for lung cancer recurrence prediction. - Bryan Lim, Stefan Zohren, Stephen Roberts:
Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio. - Rising Odegua:
Predicting Bank Loan Default with Extreme Gradient Boosting. - Qianwei Zhou, Peng Tao, Xiaoxin Li, Shengyong Chen, Fan Zhang, Haigen Hu:
Residual-Recursion Autoencoder for Shape Illustration Images. - Jiawei Wang, Yang Zheng, Qing Xu, Jianqiang Wang, Keqiang Li:
Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles. - Yuma Kinoshita, Hitoshi Kiya:
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs. - Rui Tang, Shuyu Jiang, Xingshu Chen, Haizhou Wang, Wenxian Wang, Wei Wang:
Interlayer link prediction in multiplex social networks: an iterative degree penalty algorithm. - Yao Deng, Xi Zheng, Tianyi Zhang, Chen Chen, Guannan Lou, Miryung Kim:
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models. - Özgecan Özdogan, Emil Björnson, Erik G. Larsson:
Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications. - Alexandre d'Aspremont, Mert Pilanci:
Global Convergence of Frank Wolfe on One Hidden Layer Networks. - Alain Couvreur, Philippe Lebacque, Marc Perret:
Toward good families of codes from towers of surfaces. - Elizabeth Crosson, Samuel Slezak:
Classical Simulation of High Temperature Quantum Ising Models. - Albert Senen-Cerda, Jaron Sanders:
Almost Sure Convergence of Dropout Algorithms for Neural Networks. - Agustín Somacal, Leonardo Boechi, Matthieu Jonckheere, Vincent Lefieux, Dominique Picard, Ezequiel Smucler:
Uncovering differential equations from data with hidden variables. - Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. - Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano:
Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems. - Manuel Aprile, Michele Conforti, Yuri Faenza, Samuel Fiorini, Tony Huynh, Marco Macchia:
Recognizing Cartesian products of matrices and polytopes. - Marcel Milich, Torsten Mütze, Martin Pergel:
On flips in planar matchings. - Ziping Xu, Ambuj Tewari:
Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting. - Mathieu Chalvidal, Emilie Chouzenoux:
Block Distributed Majorize-Minimize Memory Gradient Algorithm and its application to 3D image restoration. - Yegor Klochkov, Alexey Kroshnin, Nikita Zhivotovskiy:
Robust k-means Clustering for Distributions with Two Moments. - Michele Merler, Cícero Nogueira dos Santos, Mauro Martino, Alfio Massimiliano Gliozzo, John R. Smith:
Covering the News with (AI) Style. - Yun Yuan, Xianfeng Terry Yang, Zhao Zhang, Shandian Zhe:
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications. - Cecilia Romaro, Antonio Carlos Roque, José Roberto Castilho Piqueira:
Boundary solution based on rescaling method: recoup the first and second-order statistics of neuron network dynamics. - Dario Zanca, Alessandra Rufa, Andrea Canessa, Silvio P. Sabatini:
End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinson's Disease. - Sahand Salamat, Tajana Rosing:
FPGA Acceleration of Sequence Alignment: A Survey. - Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. - Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
How Good is the Bayes Posterior in Deep Neural Networks Really? - Shreyank N. Gowda, Chun Yuan:
StegColNet: Steganalysis based on an ensemble colorspace approach. - Tianyi Lin, Chi Jin, Michael I. Jordan:
Near-Optimal Algorithms for Minimax Optimization. - Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer:
Normalizing Flows on Tori and Spheres. - Muhammad Alrabeiah, Jayden Booth, Andrew Hredzak, Ahmed Alkhateeb:
ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions. - Yingyu Li, Anqi Huang, Yong Xiao, Xiaohu Ge, Sumei Sun, Han-Chieh Chao:
Federated Orchestration for Network Slicing of Bandwidth and Computational Resource. - Simon J. Berrebi, Taylor Gibbs, Sanskruti Joshi, Kari E. Watkins:
On Ridership and Frequency. - Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand:
On the limits of cross-domain generalization in automated X-ray prediction. - Ben Stevens, Tim Colonius:
Enhancement of shock-capturing methods via machine learning. - Sean Ellison, Jeffrey A. Nanzer:
High-Accuracy Multi-Node Ranging For Coherent Distributed Antenna Arrays. - Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp:
Interpolation under latent factor regression models. - Antoine Delplace:
Synthetic Magnetic Resonance Images with Generative Adversarial Networks. - Kyungwon Kang, Hesham A. Rakha:
A Repeated Game Freeway Lane Changing Model. - Kevin McCloskey, Eric A. Sigel, Steven Kearnes, Ling Xue, Xia Tian, Dennis Moccia, Diana Gikunju, Sana Bazzaz, Betty Chan, Matthew A. Clark, John W. Cuozzo, Marie-Aude Guié, John P. Guilinger, Christelle Huguet, Christopher D. Hupp, Anthony D. Keefe, Christopher J. Mulhern, Ying Zhang, Patrick F. Riley:
Machine learning on DNA-encoded libraries: A new paradigm for hit-finding. - Manfred Opper, Burak Çakmak:
Understanding the dynamics of message passing algorithms: a free probability heuristics. - Sioni Summers, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Duc Hoang, Sergo Jindariani, Edward Kreinar, Vladimir Loncar, Jennifer Ngadiuba, Maurizio Pierini, Dylan S. Rankin, Nhan Tran, Zhenbin Wu:
Fast inference of Boosted Decision Trees in FPGAs for particle physics. - Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar:
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. - Wei Li, Amin Kiaghadi, Clint N. Dawson:
High Temporal Resolution Rainfall Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks. - Gautam Goel, Babak Hassibi:
The Power of Linear Controllers in LQR Control. - Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen:
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays. - Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn:
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. - Eric F. Lock, Jun Young Park, Katherine A. Hoadley:
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis. - Majid Noroozi, Marianna Pensky:
Statistical Inference in Heterogeneous Block Model. - Remmy A. M. Zen, Long My, Ryan Tan, Frédéric Hébert, Mario Gattobigio, Christian Miniatura, Dario Poletti, Stéphane Bressan:
Finding Quantum Critical Points with Neural-Network Quantum States. - Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills:
Constructing a variational family for nonlinear state-space models. - Daniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay:
Optimization of Structural Similarity in Mathematical Imaging. - Shreyas Ramoji, Prashant Krishnan V, Bhargavram Mysore, Prachi Singh, Sriram Ganapathy:
LEAP System for SRE19 Challenge - Improvements and Error Analysis. - Hossein Bonakdari, Isa Ebtehaj, Bahram Gharabaghi, Ali Sharifi, Amir Mosavi:
Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming. - Fabrizio Genovese, David I. Spivak:
A Categorical Semantics for Guarded Petri Nets. - André Paul Neto-Bradley, Ruchi Choudhary, Amir Bazaz:
Slipping through the net: can data science approaches help target clean cooking policy interventions? - Nicolas Broutin, Thomas Duquesne, Minmin Wang:
Limits of multiplicative inhomogeneous random graphs and Lévy trees: Limit theorems. - Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. - Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot, David Li-Bland, Anton Loukianov, Charles K. Fisher:
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks. - Javier Antorán, James Urquhart Allingham, José Miguel Hernández-Lobato:
Variational Depth Search in ResNets. - Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M. Oberman:
How to train your neural ODE. - Yasser F. Al-Eryani, Mohamed Akrout, Ekram Hossain:
Multiple Access in Dynamic Cell-Free Networks: Outage Performance and Deep Reinforcement Learning-Based Design. - Michael Herty, Gabriella Puppo, Giuseppe Visconti:
From kinetic to macroscopic models and back. - Ali Mohebbi, Alexander Rosenberg Johansen, Nicklas Hansen, Peter Ebert Christensen, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup:
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. - Thomas Passer Jensen, S. Tata, Auke Jan Ijspeert, Silvia Tolu:
Adaptive control for hindlimb locomotion in a simulated mouse through temporal cerebellar learning. - Vladimir Maz'ya, Alexander B. Movchan, Michael J. Nieves:
On meso-scale approximations for vibrations of membranes with lower-dimensional clusters of inertial inclusions. - Jianhong Lin, Kevin Primicerio, Tiziano Squartini, Christian Decker, Claudio J. Tessone:
Lightning Network: a second path towards centralisation of the Bitcoin economy. - Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger:
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. - Junjie Jiao, Harry L. Trentelman, M. Kanat Camlibel:
H2 and H-infinity Suboptimal Distributed Filter Design for Linear Systems. - Jan Papez, Laura Grigori, Radek Stompor:
Accelerating linear system solvers for time domain component separation of cosmic microwave background data. - Shixu Meng, Othman Oudghiri-Idrissi, Bojan B. Guzina:
A convergent low-wavenumber, high-frequency homogenization of the wave equation in periodic media with a source term. - Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux:
Unsupervised pretraining transfers well across languages. - Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier:
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. - Thomas O'Leary-Roseberry, Nick Alger, Omar Ghattas:
Low Rank Saddle Free Newton: Algorithm and Analysis. - Thomas O'Leary-Roseberry, Omar Ghattas:
Ill-Posedness and Optimization Geometry for Nonlinear Neural Network Training. - Nicolas Keriven, Samuel Vaiter:
Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model. - Tim Boykett:
Maximality of reversible gate sets. - Steffen Grünewälder, Azadeh Khaleghi:
Oblivious Data for Fairness with Kernels. - Yiying Fan, Jiayang Sun:
Subsampling Winner Algorithm for Feature Selection in Large Regression Data. - Qifan Song, Yan Sun, Mao Ye, Faming Liang:
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection. - Jonas Kornprobst, Alexander Paulus, Josef Knapp, Thomas F. Eibert:
Phase Retrieval for Partially Coherent Observations. - Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang:
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization. - Peter Harremoës, Frantisek Matús:
Bounds on the Information Divergence for Hypergeometric Distributions. - Ryan J. McCarty, Nimish Ronghe, Mandy Woo, Todd M. Alam:
Blind Source Separation for NMR Spectra with Negative Intensity. - Sebastian Falkensteiner, Cristhian Garay-López, Mercedes Haiech, Marc Paul Noordman, Zeinab Toghani, François Boulier:
The Fundamental Theorem of Tropical Partial Differential Algebraic Geometry. - Tuomo Valkonen:
Predictive online optimisation with applications to optical flow. - Akifumi Okuno, Hidetoshi Shimodaira:
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. - Matías Siebert, Shabbir Ahmed, George L. Nemhauser:
A Simulated Annealing Algorithm for the Directed Steiner Tree Problem. - Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone Suppression on Chest Radiographs With Adversarial Learning. - Petrus Mikkola, Milica Todorovic, Jari Järvi, Patrick Rinke, Samuel Kaski:
Projective Preferential Bayesian Optimization. - Prajoy Podder, A. H. M. Shahariar Parvez, Md. Mizanur Rahman, Tanvir Zaman Khan:
Ramifications and Diminution of Image Noise in Iris Recognition System. - Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo:
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification. - Bingbing Sun, Tariq Alkhalifah:
A data-driven choice of misfit function for FWI using reinforcement learning. - Bingbing Sun, Tariq Alkhalifah:
ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning. - Ingo Steinwart:
Reproducing Kernel Hilbert Spaces Cannot Contain all Continuous Functions on a Compact Metric Space. - Jose H. Blanchet, Martin I. Reiman, Virag Shah, Lawrence M. Wein:
Asymptotically Optimal Control of a Centralized Dynamic Matching Market with General Utilities. - Kok Yew Ng, Erik Frisk, Mattias Krysander:
Design and Selection of Additional Residuals To Enhance Fault Isolation of A Turbocharged Spark Ignited Engine System. - Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed:
Affine Combination of Diffusion Strategies over Networks. - Nir Shlezinger, Rong Fu, Yonina C. Eldar:
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection. - Michelle N. Ngo, Dustin S. Pluta, Alexander N. Ngo, Babak Shahbaba:
Conjoined Dirichlet Process. - Sizhuo Liu, Edward T. Reehorst, Philip Schniter, Rizwan Ahmad:
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser. - José G. Gómez-García, Jalal Fadili, Christophe Chesneau:
Learning CHARME models with (deep) neural networks. - Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong:
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. - Lei Yu:
Edge-Isoperimetric Inequalities and Ball-Noise Stability: Linear Programming and Probabilistic Approaches. - Ahmed Khaled, Peter Richtárik:
Better Theory for SGD in the Nonconvex World. - Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data. - Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu:
A Unified End-to-End Framework for Efficient Deep Image Compression. - Jingyu He, P. Richard Hahn:
Stochastic tree ensembles for regularized nonlinear regression. - Weihang Ding, Zhaohui Yang, Mingzhe Chen, Jiancao Hou, Mohammad Shikh-Bahaei:
Resource Allocation for UAV Assisted Wireless Networks with QoS Constraints. - Hamid Reza Boveiri, Raouf Khayami, Reza Javidan, Ali Reza MehdiZadeh:
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review. - Xin Yi, Scott J. Adams, Robert D. E. Henderson, Paul S. Babyn:
Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment? - Wenjuan Yu, Chuan Heng Foh, Atta ul Quddus, Yuanwei Liu, Rahim Tafazolli:
Throughput Analysis and User Barring Design for Uplink NOMA-Enabled Random Access. - Anirudh Chandrashekar, Ashok Handa, Natesh Shivakumar, Pierfrancesco Lapolla, Vicente Grau, Regent Lee:
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent. - Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar:
MOGPTK: The Multi-Output Gaussian Process Toolkit. - Xi Zhang, Xiaolin Wu:
Ultra High Fidelity Image Compression with 𝓁∞-constrained Encoding and Deep Decoding. - Danqing Pan, Tong Wang, Satoshi Hara:
Interpretable Companions for Black-Box Models. - Weiqi Wang:
Numerical solution to stress distribution of a hole with corners on infinite plane. - Ren Liu, Xiaoqun Zhang:
Semi-Implicit Back Propagation. - Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan:
An empirical analysis of information encoded in disentangled neural speaker representations. - Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Yin:
Discrete Action On-Policy Learning with Action-Value Critic. - Michael Muehlebach, Michael I. Jordan:
Continuous-time Lower Bounds for Gradient-based Algorithms. - Shreyas Ramoji, Prashant Krishnan V, Sriram Ganapathy:
NPLDA: A Deep Neural PLDA Model for Speaker Verification. - Xinwu Qian, Lijun Sun, Satish V. Ukkusuri:
Scaling of contact networks for epidemic spreading in urban transit systems. - Ismail Shahin:
Emotion Recognition Using Speaker Cues. - Shraddha Surana, Yogesh G. Wadadekar, Omkar Bait, Hrushikesh Bhosle:
Predicting star formation properties of galaxies using deep learning. - Xian Wu, Chao Huang, Pablo Robles-Granda, Nitesh V. Chawla:
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series. - Subrato Bharati, Mohammad Atikur Rahman, Prajoy Podder:
Implementation of ASK, FSK and PSK with BER vs. SNR comparison over AWGN channel. - Jan Kieseler:
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data. - Guillaume Richard, Benoît Grossin, Guillaume Germaine, Georges Hébrail, Anne de Moliner:
Autoencoder-based time series clustering with energy applications. - Christian Klein, Simona Nodari:
On a nonlinear Schr{ö}dinger equation for nucleons in one space dimension. - Tong Chen, Jean-Bernard Lasserre, Victor Magron, Edouard Pauwels:
Polynomial Optimization for Bounding Lipschitz Constants of Deep Networks. - José E. Chacón, Ana I. Rastrojo:
Minimum adjusted Rand index for two clusterings of a given size. - Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yue Yu, Lei Li:
SPAN: A Stochastic Projected Approximate Newton Method. - Dmitry A. Lachinov, Elena Shipunova, Vadim Turlapov:
Knowledge Distillation for Brain Tumor Segmentation. - Dimitris Achlioptas, Amin Coja-Oghlan, Max Hahn-Klimroth, Joon Lee, Noëla Müller, Manuel Penschuck, Guangyan Zhou:
The random 2-SAT partition function. - Antonia Godoy-Lorite, Roger Guimerà, Marta Sales-Pardo:
Network-based models for social recommender systems. - Yueyu Hu, Wenhan Yang, Zhan Ma, Jiaying Liu:
Learning End-to-End Lossy Image Compression: A Benchmark. - Conor Durkan, Iain Murray, George Papamakarios:
On Contrastive Learning for Likelihood-free Inference. - Herbert De Gersem, Armin Galetzka, Ion Gabriel Ion, Dimitrios Loukrezis, Ulrich Römer:
Magnetic Field Simulation with Data-Driven Material Modeling. - Samuel Thiriot:
Small world is not enough: Criteria for network choice and conclusiveness of simulations. - Pierre Ablin, Gabriel Peyré, Thomas Moreau:
Super-efficiency of automatic differentiation for functions defined as a minimum. - Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty:
CO-Optimal Transport. - Zijian Zhang, Linglong Dai:
A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network. - Yuuya Takayama:
Geometric Formulation for Discrete Points and its Applications. - Bugra Turan, Sinem Coleri:
Machine Learning Based Channel Modeling for Vehicular Visible Light Communication. - Mario Miscuglio, Volker J. Sorger:
Photonic tensor cores for machine learning. - Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu:
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis. - Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu:
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior. - Onel L. Alcaraz López, Samuel Montejo Sánchez, Richard D. Souza, Hirley Alves, Constantinos B. Papadias:
On CSI-free Multi-Antenna Schemes for Massive Wireless Energy Transfer. - Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi:
An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning. - Luciana Ferrer, Mitchell McLaren:
A Speaker Verification Backend for Improved Calibration Performance across Varying Conditions. - Mehran Makhtoumi:
Fairness in Slot Allocation. - June-Woo Kim, Ho-Young Jung, Minho Lee:
Vocoder-free End-to-End Voice Conversion with Transformer Network. - Andrew N. W. Hone:
Efficient ECM factorization in parallel with the Lyness map. - Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christoph Kolbitsch, Markus Haltmeier:
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI. - Stefania Russo, Andy Disch, Frank Blumensaat, Kris Villez:
Anomaly Detection using Deep Autoencoders for in-situ Wastewater Systems Monitoring Data. - Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard:
Time Series Alignment with Global Invariances. - Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
Continuous Silent Speech Recognition using EEG. - Gullapalli Keerti, A. N. Vaishnavi, Prerana Mukherjee, A. Sree Vidya, Gattineni Sai Sreenithya, Deeksha Nayab:
Attentional networks for music generation. - Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi:
Missing Data Imputation using Optimal Transport. - Axel Chemla-Romeu-Santos, Stavros Ntalampiras, Philippe Esling, Goffredo Haus, Gérard Assayag:
Cross-modal variational inference for bijective signal-symbol translation. - Bindya Venkatesh, Jayaraman J. Thiagarajan, Kowshik Thopalli, Prasanna Sattigeri:
Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration. - Pritam Sarkar, Ali Etemad:
Self-supervised ECG Representation Learning for Emotion Recognition. - Xin Wang, Shaoting Tang, Zhiming Zheng, Feng Fu:
Public discourse and social network echo chambers driven by socio-cognitive biases. - Xuankai Chang, Wangyou Zhang, Yanmin Qian, Jonathan Le Roux, Shinji Watanabe:
End-to-End Multi-speaker Speech Recognition with Transformer. - Morgan Pierre:
Maximum time step for the BDF3 scheme applied to gradient flows. - Lee M. Gunderson, Gecia Bravo Hermsdorff:
Introducing Graph Cumulants: What is the Kurtosis of your Social Network? - François-Pierre Paty, Marco Cuturi:
Regularized Optimal Transport is Ground Cost Adversarial. - Ross Cutler, Ramin Mehran, Sam Johnson, Cha Zhang, Adam Kirk, Oliver Whyte, Adarsh Kowdle:
Multimodal active speaker detection and virtual cinematography for video conferencing. - Wanrong Zhu, Xi Chen, Wei Biao Wu:
A Fully Online Approach for Covariance Matrices Estimation of Stochastic Gradient Descent Solutions. - Donghyun Lim, Martin Ziegler:
A Quantitative Multivalued Selection Theorem for Encoding Spaces of Continuum Cardinality. - Nathan Kallus, Masatoshi Uehara:
Statistically Efficient Off-Policy Policy Gradients. - Theofanis Karaletsos, Thang D. Bui:
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights. - James Bird, Linda R. Petzold, Philip Lubin, Dulia Deacon:
Advances in Deep Space Exploration via Simulators & Deep Learning. - Misgina Tsighe Hagos:
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach. - Myriem Alijo, Otman Abdoun, Mostafa Bachran, Amal Bergam:
Optimization by Hybridization of a Genetic Algorithm with the PROMOTHEE Method: Management of Multicriteria Localization. - Lu Wei:
Proof of Sarkar-Kumar's Conjectures on Average Entanglement Entropies over the Bures-Hall Ensemble. - Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud:
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems. - Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives. - Leonid Berlyand, Pierre-Emmanuel Jabin, C. Alex Safsten:
Stability for the Training of Deep Neural Networks and Other Classifiers. - Maria Inês Silva, Roberto Henriques:
Finding manoeuvre motifs in vehicle telematics. - Jingzhao Zhang, Hongzhou Lin, Suvrit Sra, Ali Jadbabaie:
On Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions. - Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory G. Slabaugh, Stefanos Zafeiriou:
Reconstructing the Noise Manifold for Image Denoising. - Chenyang Yuan, Pablo A. Parrilo:
Maximizing Products of Linear Forms, and The Permanent of Positive Semidefinite Matrices. - Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko:
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images. - Ulbert J. Botero, Ronald Wilson, Hangwei Lu, Mir Tanjidur Rahman, Mukhil Azhagan Mallaiyan Sathiaseelan, Fatemeh Ganji, Navid Asadizanjani, Mark M. Tehranipoor, Damon L. Woodard, Domenic Forte:
Hardware Trust and Assurance through Reverse Engineering: A Survey and Outlook from Image Analysis and Machine Learning Perspectives. - Yurii Kolomoitsev, Jürgen Prestin:
Approximation properties of periodic multivariate quasi-interpolation operators. - Ruisheng Su, Weiyi Xie, Tao Tan:
2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. - Joseph Lam-Weil, Béatrice Laurent, Jean-Michel Loubes:
Minimax optimal goodness-of-fit testing for densities under a local differential privacy constraint. - Katarzyna Woznica, Przemyslaw Biecek:
Towards better understanding of meta-features contributions. - Everton Jose Santana, Felipe Rodrigues dos Santos, Saulo Martiello Mastelini, Fabio Luiz Melquiades, Sylvio Barbon Junior:
Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra. - Xin-Long Luo, Geng Sun:
Symplectic Geometric Methods for Matrix Differential Equations Arising from Inertial Navigation Problems. - Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl, Petr Ostroukhov, Kamil Safin:
Self-concordant analysis of Frank-Wolfe algorithms. - Giuseppe Brandi, Tiziana di Matteo:
Predicting Multidimensional Data via Tensor Learning. - Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra:
Wasserstein Control of Mirror Langevin Monte Carlo. - Sven Koehler, Animesh Tandon, Tarique Hussain, Heiner Latus, Thomas Pickardt, Samir Sarikouch, Philipp Beerbaum, Gerald Greil, Sandy Engelhardt, Ivo Wolf:
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning? - Magnus Ögren, Mårten Gulliksson:
A numerical damped oscillator approach to constrained Schrödinger equations. - Ouafa Benkraouda, Bilal Thonnam Thodi, Hwasoo Yeo, Mónica Menéndez, Saif Eddin Jabari:
Traffic Data Imputation using Deep Convolutional Neural Networks. - Feng Qi, Wen-Hui Li, Guo-Sheng Wu, Bai-Ni Guo:
Refinements of Young's integral inequality via fundamental inequalities and mean value theorems for derivatives. - Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Folding-based compression of point cloud attributes. - Jiawei Li, Jae Chul Koh, Won-Sook Lee:
HRINet: Alternative Supervision Network for High-resolution CT image Interpolation. - Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy:
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. - Lénaïc Chizat, Francis R. Bach:
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss. - Subhayan De, Jolene Britton, Matthew J. Reynolds, Ryan Skinner, Kenneth E. Jansen, Alireza Doostan:
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation. - Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga, Américo Brilhante, Asli Çakir, Xavier Farré, Katerina Geronatsiou, Vincent Molinié, Guilherme Pereira, Paromita Roy, Günter Saile, Paulo Salles, Ewout Schaafsma, Joëlle Tschui, Anne-Marie Vos, Hester van Boven, Robert Vink, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens:
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists. - Xue Zhang, Gene Cheung, Jiahao Pang, Dong Tian:
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements. - Andrii Dmytryshyn:
Schur decomposition of several matrices. - Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe:
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information. - William Whiteley, Vladimir Panin, Chuanyu Zhou, Jorge Cabello, Deepak Bharkhada, Jens Gregor:
FastPET: Near Real-Time PET Reconstruction from Histo-Images Using a Neural Network. - Filip Hanzely, Dmitry Kovalev, Peter Richtárik:
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems. - Robert Hu, Geoff K. Nicholls, Dino Sejdinovic:
Large Scale Tensor Regression using Kernels and Variational Inference. - Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. - Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin:
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. - Fabian Pedregosa, Damien Scieur:
Average-case Acceleration Through Spectral Density Estimation. - Terrence J. Sejnowski:
The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence. - Eugenio Orlandelli:
Labelled calculi for quantified modal logics with definite descriptions. - Lam Dang Pham, Ian McLoughlin, Huy Phan, Ramaswamy Palaniappan, Alfred Mertins:
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification. - David Holzmüller, Ingo Steinwart:
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent. - Niklas Kühl, Michael Hinze, Thomas Rung:
Cahn-Hilliard Navier-Stokes Simulations for Marine Free-Surface Flows. - Daniel Giles, Eugene Kashdan, Dimitra M. Salmanidou, Serge Guillas, Frédéric Dias:
Performance analysis of Volna-OP2 - massively parallel code for tsunami modelling. - Zhengfeng Li, Meng Hua, Qingxia Wang, Qingheng Song:
Weighted Sum-Rate Maximization for Multi-IRS Aided Cooperative Transmission. - Yann Briheche, Frédéric Barbaresco, Fouad Bennis, Damien Chablat:
Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns. - Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
Content Based Singing Voice Extraction From a Musical Mixture. - Tianyu Zeng, Yunong Zhang, Zhenyu Li, Xiao Liu, Binbin Qiu:
Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods. - Hao-Chiang Shao, Chao-Yi Peng, Jun-Rei Wu, Chia-Wen Lin, Shao-Yun Fang, Pin-Yen Tsai, Yan-Hsiu Liu:
From IC Layout to Die Photo: A CNN-Based Data-Driven Approach. - Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar:
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. - Ayça Özçelikkale:
Sparse Recovery With Non-Linear Fourier Features. - Felix Kreuk, Yaniv Sheena, Joseph Keshet, Yossi Adi:
Phoneme Boundary Detection using Learnable Segmental Features. - Fabio Bagarello, Francesco Gargano:
Eigenvalues of non-hermitian matrices: a dynamical and an iterative approach. Application to a truncated Swanson model. - Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. - Jingjing Bu, Mehran Mesbahi:
Global Convergence of Policy Gradient Algorithms for Indefinite Least Squares Stationary Optimal Control. - Shuyang Zhao, Toni Heittola, Tuomas Virtanen:
Active Learning for Sound Event Detection. - Tyson Pond, Saranzaya Magsarjav, Tobin South, Lewis Mitchell, James P. Bagrow:
Complex contagion features without social reinforcement in a model of social information flow. - Raghavendra Pappagari, Tianzi Wang, Jesús Villalba, Nanxin Chen, Najim Dehak:
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition. - Srinivasan Arunachalam, Reevu Maity:
Quantum Boosting. - Benjamin A. Helfrecht, Rose K. Cersonsky, Guillaume Fraux, Michele Ceriotti:
Structure-Property Maps with Kernel Principal Covariates Regression. - Manolis C. Tsakiris:
Finiteness of fibers in matrix completion via Plücker coordinates. - Sattar Vakili, Victor Picheny, Nicolas Durrande:
Regret Bounds for Noise-Free Bayesian Optimization. - Shisheng Cui, Chia-Jung Chang:
Development of modeling and control strategies for an approximated Gaussian process. - Hao Guo, Zhao Song, Suncana Gecek, Xuelong Li, Marko Jusup, Matjaz Perc, Yamir Moreno, Stefano Boccaletti, Zhen Wang:
A novel route to cyclic dominance in voluntary social dilemmas. - Anna Shalova, Ivan V. Oseledets:
Deep Representation Learning for Dynamical Systems Modeling. - Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball:
Machine-Learning-Based Diagnostics of EEG Pathology. - Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier:
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling. - Phillip Keung, Wei Niu, Yichao Lu, Julian Salazar, Vikas Bhardwaj:
Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances. - Philip Betzler, Sven Krippendorf:
Connecting Dualities and Machine Learning. - Nicolas Delfosse, Ben W. Reichardt, Krysta M. Svore:
Beyond single-shot fault-tolerant quantum error correction. - Mitali Sisodia, Kishore Thapliyal, Anirban Pathak:
Optical designs for realization of a set of schemes for quantum cryptography. - Edward Gillman, Dominic C. Rose, Juan P. Garrahan:
A Tensor Network Approach to Finite Markov Decision Processes. - Alberto Zeni, Giulia Guidi, Marquita Ellis, Nan Ding, Marco D. Santambrogio, Steven A. Hofmeyr, Aydin Buluç, Leonid Oliker, Katherine A. Yelick:
LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment. - Tianhui Zhou, Yitong Li, Yuan Wu, David E. Carlson:
Estimating Uncertainty Intervals from Collaborating Networks. - Jose M. Peña:
Conditional Path Analysis in Singly-Connected Path Diagrams. - Jouni Järvinen, Sándor Radeleczki:
The structure of multigranular rough sets. - Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya:
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks. - Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona:
Exponential Step Sizes for Non-Convex Optimization. - Xavier Bonnetain, Rémi Bricout, André Schrottenloher, Yixin Shen:
Improved Classical and Quantum Algorithms for Subset-Sum. - Qin Ding, Cho-Jui Hsieh, James Sharpnack:
Multiscale Non-stationary Stochastic Bandits. - Mohammad Saeed Abrishami, Hao Ge, Justin F. Calderon, Massoud Pedram, Shahin Nazarian:
NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework. - Yen-Chi Chen:
Solution manifold and Its Statistical Applications. - Masayuki Ohzeki:
Breaking limitation of quantum annealer in solving optimization problems under constraints. - Tyler Maunu, Gilad Lerman:
A Provably Robust Multiple Rotation Averaging Scheme for SO(2). - Yue Xing, Qifan Song, Guang Cheng:
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. - Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita:
Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm. - Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang:
Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. - Yifan Ding, Yong Xu, Shi-Xiong Zhang, Yahuan Cong, Liqiang Wang:
Self-supervised learning for audio-visual speaker diarization. - Ning Bao, Newton Cheng, Sergio Hernández-Cuenca, Vincent Paul Su:
The Quantum Entropy Cone of Hypergraphs. - Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi:
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images. - Xiaodong Liu, Zhi Gao, Ben M. Chen:
MLFcGAN: Multi-level Feature Fusion based Conditional GAN for Underwater Image Color Correction. - Jesse Geneson:
A generalization of the Kővári-Sós-Turán theorem. - Yong Yu, Ming Jing, Na Zhao, Tao Zhou:
Lowest Degree Decomposition of Complex Networks. - Tony Huynh, Bruce A. Reed, David R. Wood, Liana Yepremyan:
Notes on Tree- and Path-chromatic Number. - Pei-Gen Ye, Yuan-Gen Wang, Jin Li, Liang Xiao:
Fast Reinforcement Learning for Anti-jamming Communications. - Ang Li, Fan Liu, Christos Masouros, Yonghui Li, Branka Vucetic:
Near-Optimal Interference Exploitation 1-Bit Massive MIMO Precoding via Partial Branch-and-Bound. - Johan Simonsson, Khalid Tourkey Atta, Dave Zachariah, Wolfgang Birk:
A latent variable approach to heat load prediction in thermal grids. - Sebastian Scher, Gabriele Messori:
Ensemble neural network forecasts with singular value decomposition. - Juan Camilo Vásquez-Correa, Tobias Bocklet, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson's disease patients. - Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi:
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings. - Brieuc Guinard, Amos Korman:
Tight Bounds for the Cover Times of Random Walks with Heterogeneous Step Lengths. - Barkin Tuncer, Murat Kumru, Emre Özkan:
Extended Target Tracking and Classification Using Neural Networks. - Vien V. Mai, Mikael Johansson:
Convergence of a Stochastic Gradient Method with Momentum for Nonsmooth Nonconvex Optimization. - Essam A. Rashed, José Gómez-Tames, Akimasa Hirata:
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation. - Yang Li, Yan Li, Hua Tian:
Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head. - Martin Morin, Pontus Giselsson:
Sampling and Update Frequencies in Proximal Variance Reduced Stochastic Gradient Methods. - Jonas Rothfuss, Vincent Fortuin, Andreas Krause:
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees. - José A. Iglesias, Gwenael Mercier, Emad Chaparian, Ian A. Frigaard:
Computing the Yield Limit in Three-dimensional Flows of a Yield Stress Fluid About a Settling Particle. - Ankur Moitra, Andrej Risteski:
Fast Convergence for Langevin Diffusion with Matrix Manifold Structure. - Hafsa Bousbiat, Christoph Klemenjak, Gerhard Leitner, Wilfried Elmenreich:
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring. - Dhanushka Kudathanthirige, Dulaj Gunasinghe, Gayan Amarasuriya:
Performance Analysis of Intelligent Reflective Surfaces for Wireless Communication. - Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization. - Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Richard S. Zemel:
Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling. - Stelios K. Mylonas, Apostolos Axenopoulos, Petros Daras:
DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins. - Abram Magner, Mayank Baranwal, Alfred O. Hero III:
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version. - Eyal Ackerman, Balázs Keszegh, Günter Rote:
An almost optimal bound on the number of intersections of two simple polygons. - Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil:
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. - Umut Simsekli, Lingjiong Zhu, Yee Whye Teh, Mert Gürbüzbalaban:
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise. - Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso:
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. - Pietro Nardelli, James C. Ross, Raúl San José Estépar:
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images. - Gunnar Fløystad, Dominique Manchon, Hans Z. Munthe-Kaas:
The universal pre-Lie-Rinehart algebras of aromatic trees. - Yuemeng Li, Hongming Li, Yong Fan:
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation. - David Rügamer, Chris Kolb, Nadja Klein:
A Unifying Network Architecture for Semi-Structured Deep Distributional Learning. - Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li:
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States. - Lior Sidi:
Improving S&P stock prediction with time series stock similarity. - Ahmet Murat Özbayoglu, Mehmet Ugur Gudelek, Omer Berat Sezer:
Deep Learning for Financial Applications : A Survey. - Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar:
Gaussian process imputation of multiple financial series. - Natalie Doss, Yihong Wu, Pengkun Yang, Harrison H. Zhou:
Optimal estimation of high-dimensional Gaussian mixtures. - Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach:
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. - Kai Yang, Svetlana Roudenko, Yanxiang Zhao:
Stable blow-up dynamics in the L2-critical and L2-supercritical generalized Hartree equation. - Yoshiki Masuyama, Masahito Togami, Tatsuya Komatsu:
Consistency-aware multi-channel speech enhancement using deep neural networks. - Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Phase reconstruction based on recurrent phase unwrapping with deep neural networks. - Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Real-time speech enhancement using equilibriated RNN. - Zhendong Liu, Xin Yang, Rui Gao, Shengfeng Liu, Haoran Dou, Shuangchi He, Yuhao Huang, Yankai Huang, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni:
Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer. - Geng Shi, Ziqiang Ying, Rongtao Xu, Kan Zheng:
Design and Implementation of a High-Accuracy Positioning System Using RTK on Smartphones. - Yuma Koizumi, Kohei Yatabe, Marc Delcroix, Yoshiki Masuyama, Daiki Takeuchi:
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention. - Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki, Kohei Yatabe:
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function. - Onur Tasar, S. L. Happy, Yuliya Tarabalka, Pierre Alliez:
SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data. - Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Approximation Bounds for Random Neural Networks and Reservoir Systems. - Samuel Stern, Giacomo Livan, Robert E. Smith:
A network perspective on intermedia agenda-setting. - Masahiro Yasuda, Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Keisuke Imoto:
Sound Event Localization based on Sound Intensity Vector Refined By DNN-Based Denoising and Source Separation. - Raul Borsche, Axel Klar:
A kinetic traffic network model and its macroscopic limit: merging lanes. - Eranda Çela, Elisabeth Gaar:
Relationship of k-Bend and Monotonic 𝓁-Bend Edge Intersection Graphs of Paths on a Grid. - Maxime Lucas:
Abstract rewriting internalized. - Hakime Öztürk, Arzucan Özgür, Philippe Schwaller, Teodoro Laino, Elif Özkirimli Ölmez:
Exploring Chemical Space using Natural Language Processing Methodologies for Drug Discovery. - Alexandr Kazda:
Deciding the existence of quasi weak near unanimity terms in finite algebras. - Phuc Dinh, Mohamed Amine Arfaoui, Sanaa Sharafeddine, Chadi Assi, Ali Ghrayeb:
A Low-Complexity Framework for Joint User Pairing and Power Control for Cooperative NOMA in 5G and Beyond Cellular Networks. - Leda Sari, Niko Moritz, Takaaki Hori, Jonathan Le Roux:
Unsupervised Speaker Adaptation using Attention-based Speaker Memory for End-to-End ASR. - Antonio A. Gentile, Brian Flynn, Sebastian Knauer, Nathan Wiebe, Stefano Paesani, Christopher E. Granade, John G. Rarity, Raffaele Santagati, Anthony Laing:
Learning models of quantum systems from experiments. - Yangchen Pan, Ehsan Imani, Martha White, Amir-massoud Farahmand:
An implicit function learning approach for parametric modal regression. - Minas Karamanis, Florian Beutler:
Ensemble Slice Sampling. - Zili Huang, Shinji Watanabe, Yusuke Fujita, Paola García, Yiwen Shao, Daniel Povey, Sanjeev Khudanpur:
Speaker Diarization with Region Proposal Network. - Samarth Sinha, Anirudh Goyal, Colin Raffel, Augustus Odena:
Top-K Training of GANs: Improving Generators by Making Critics Less Critical. - Alec Yonika, Alfa R. H. Heryudono, Gaurav Khanna:
Space-Time Collocation Method: Loop Quantum Hamiltonian Constraints. - Sunwoo Kim, Haici Yang, Minje Kim:
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. - Yusuke Uchiyama, Kei Nakagawa:
TPLVM: Portfolio Construction by Student's t-process Latent Variable Model. - Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang:
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. - Mahya Mirbagheri, Ata Jodeiri, Naser Hakimi, Vahid Zakeri, Seyed Kamaledin Setarehdan:
Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach. - Bryan Bischof:
Higher order co-occurrence tensors for hypergraphs via face-splitting. - Robert Bamler, Stephan Mandt:
Extreme Classification via Adversarial Softmax Approximation. - Chanwoo Kim, Kwangyoun Kim, Sathish Reddy Indurthi:
Small energy masking for improved neural network training for end-to-end speech recognition. - Zihao Cheng, Jiangbo Si, Zan Li, Danyang Wang, Naofal Al-Dhahir:
Covert Surveillance via Proactive Eavesdropping Under Channel Uncertainty. - Jiangbo Si, Zihao Cheng, Zan Li, Julian Cheng, Hui-Ming Wang, Naofal Al-Dhahir:
Cooperative Jamming for Secure Transmission With Both Active and Passive Eavesdroppers. - P. Dinesh, K. Kumar Teja, Shashank Singh, Selvan M. P., Moorthi S:
FPGA Based SoC Estimator and Constant Current Charging/Discharging Controller for Lead-Acid Battery. - Johnathan M. Bardsley, Tiangang Cui:
Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems. - Cefas Rodrigues Freire, Julio Cesar da Costa Moura, Daniele Montenegro da Silva Barros, Ricardo Alexsandro de Medeiros Valentim:
Automatic lesion segmentation and Pathological Myopia classification in fundus images. - Yulong Zhang, Mingxuan Yi, Song Liu, Mladen Kolar:
Posterior Ratio Estimation for Latent Variables. - Giorgio Tripodi, Francesca Chiaromonte, Fabrizio Lillo:
Knowledge and Social Relatedness Shape Research Portfolio Diversification. - Xuemei Chen, Douglas P. Hardin, Edward B. Saff:
On the Search for Tight Frames of Low Coherence. - Jiguang He, Markus Leinonen, Henk Wymeersch, Markku J. Juntti:
Channel Estimation for RIS-Aided mmWave MIMO Channels. - Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin:
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration. - Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry P. Vetrov:
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning. - Hikaru Ogura, Akiko Takeda:
Convex Fairness Constrained Model Using Causal Effect Estimators. - Kao-Yueh Kuo, Ching-Yi Lai:
Refined Belief Propagation Decoding of Sparse-Graph Quantum Codes. - Chanwoo Lee, Miaoyan Wang:
Tensor denoising and completion based on ordinal observations. - Disi Ji, Robert L. Logan IV, Padhraic Smyth, Mark Steyvers:
Active Bayesian Assessment for Black-Box Classifiers. - Moshe Haviv, Eyal Winter:
An optimal mechanism charging for priority in a queue. - Burak Bartan, Mert Pilanci:
Distributed Averaging Methods for Randomized Second Order Optimization. - Arkin Tikku, Mario Berta, Joseph M. Renes:
Non-additivity in classical-quantum wiretap channels. - Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang:
Speech-to-Singing Conversion in an Encoder-Decoder Framework. - Jiali Xu, Qian Yin, Ping Guo, Xin Zheng:
Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques. - Cong Han, Yi Luo, Nima Mesgarani:
Real-time binaural speech separation with preserved spatial cues. - Nao Takano, Gita Alaghband:
Generator From Edges: Reconstruction of Facial Images. - Wei Qian, Yuqian Zhang, Yudong Chen:
Structures of Spurious Local Minima in k-means. - Hao Wu, Jonas Köhler, Frank Noé:
Stochastic Normalizing Flows. - Fernando H. C. Dias, Stephanie Rahme, David Rey:
A two-stage algorithm for aircraft conflict resolution with trajectory recovery. - Abdelrahman Zayed, Guy Cloutier, Hassan Rivaz:
Automatic Frame Selection using CNN in Ultrasound Elastography. - Sung Joon Maeng, Yavuz Yapici, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Precoder Design for mmWave UAV Communications with Physical Layer Security. - Chenhao Qi, Huajian Chen, Yansha Deng, Arumugam Nallanathan:
Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications. - (Withdrawn) Topology optimization of fluidic flows on 2-manifolds.
- Taro Langner, Håkan Ahlström, Joel Kullberg:
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI. - Mohamed S. Elmahdy, Tanuj Ahuja, Uulke A. van der Heide, Marius Staring:
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT. - Saad Mohamad, Giovanni Montana:
Adaptive Experience Selection for Policy Gradient. - Deyi Liu, Volkan Cevher, Quoc Tran-Dinh:
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization. - Wenhao Gao, Connor W. Coley:
The Synthesizability of Molecules Proposed by Generative Models. - Manu Tom, Roberto Aguilar, Pascal Imhof, Silvan Leinss, Emmanuel Baltsavias, Konrad Schindler:
Lake Ice Detection from Sentinel-1 SAR with Deep Learning. - Sheng Hong, Cunhua Pan, Hong Ren, Kezhi Wang, Arumugam Nallanathan:
Artificial-Noise-Aided Secure MIMO Wireless Communications via Intelligent Reflecting Surface. - Michele Gentili, Leonardo Martini, Manuela Petti, Lorenzo Farina, Luca Becchetti:
Biological Random Walks: integrating heterogeneous data in disease gene prioritization. - Xing Yong Kek, Cheng Siong Chin, Ye Li:
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network. - Kancharagunta Kishan Babu, Shiv Ram Dubey:
PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation. - Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. - Konstantinos A. Draziotis, V. Martidis, S. Tiganourias:
Product Subset Problem : Applications to number theory and cryptography. - Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Robin M. A. Dawson, Franco N. C. Wong, Vivek K. Goyal:
Seeing Around Corners with Edge-Resolved Transient Imaging. - Neal G. Ravindra, Arijit Sehanobish, Jenna L. Pappalardo, David A. Hafler, David van Dijk:
Disease State Prediction From Single-Cell Data Using Graph Attention Networks. - Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra:
Fair Prediction with Endogenous Behavior. - Marco Virgolin, Ziyuan Wang, Brian V. Balgobind, Irma W. E. M. van Dijk, Jan Wiersma, Petra S. Kroon, Geert O. R. Janssens, Marcel van Herk, D. C. Hodgson, L. Zadravec Zaletel, C. R. N. Rasch, Arjan Bel, Peter A. N. Bosman, Tanja Alderliesten:
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. - Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier:
Decision-Making with Auto-Encoding Variational Bayes. - Vito Napolitano, Ferdinando Zullo:
Codes with few weights arising from linear sets. - Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning:
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. - Alexander I. Barvinok:
Integrating products of quadratic forms. - Thibaut Cuvelier, Richard Combes, Eric Gourdin:
Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits. - Julia Westermayr, Michael Gastegger, Philipp Marquetand:
Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics. - Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie:
Deep Attention Spatio-Temporal Point Processes. - Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. - Greg Lewis, Vasilis Syrgkanis:
Double/Debiased Machine Learning for Dynamic Treatment Effects. - Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson:
Estimating the number and effect sizes of non-null hypotheses. - Gian Marco Visani, Michael C. Hughes, Soha Hassoun:
Hierarchical Classification of Enzyme Promiscuity Using Positive, Unlabeled, and Hard Negative Examples. - Wenbo Ma, Miguel A. Lejeune:
A Distributionally Robust Area Under Curve Maximization Model. - Thuong Nguyen Canh, Byeungwoo Jeon:
Restricted Structural Random Matrix for Compressive Sensing. - Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui:
Distributional Sliced-Wasserstein and Applications to Generative Modeling. - Karthikeya S. Parunandi, Aayushman Sharma, Suman Chakravorty, Dileep M. Kalathil:
D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR. - Jiaqi Zhang, Keyou You, Tamer Basar:
Distributed Adaptive Newton Methods with Globally Superlinear Convergence. - Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu:
Data Transformation Insights in Self-supervision with Clustering Tasks. - Subrato Bharati, Mohammad Atikur Rahman, Prajoy Podder, Muhammad Ashiqul Islam, Mohammad Hossain:
Bit Error Rate Analysis of M-ARY PSK and M-ARY QAM Over Rician Fading Channel. - Nedra Benletaief, Houria Rezig, Ammar Bouallegue:
Experimental study of continuous variable quantum key distribution. - Nedra Benletaief, Houria Rezig, Ammar Bouallegue:
Experimental study and pratical realization of a reconciliation method for quantum key distribution system. - Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Zhihua Wu:
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability. - Dimitri P. Bertsekas:
Constrained Multiagent Rollout and Multidimensional Assignment with the Auction Algorithm. - Nobutaka Shimizu, Takeharu Shiraga:
Quasi-majority Functional Voting on Expander Graphs. - Patrick Michl:
Foundations of Structural Statistics: Statistical Manifolds. - Per Sidén, Fredrik Lindsten:
Deep Gaussian Markov random fields. - Isarun Chamveha, Treethep Promwiset, Trongtum Tongdee, Pairash Saiviroonporn, Warasinee Chaisangmongkon:
Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach. - Paul M. Baggenstoss:
A Neural Network Based on First Principles. - Mark P. J. van der Loo:
A method for deriving information from running R code. - Shay Elmalem, Raja Giryes, Emanuel Marom:
Motion Deblurring using Spatiotemporal Phase Aperture Coding. - Florian Lemarchand, Erwan Nogues, Maxime Pelcat:
NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis. - Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang:
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. - Pál András Papp, Roger Wattenhofer:
Network-Aware Strategies in Financial Systems. - Laura Ciobanu, Alan D. Logan:
The Post Correspondence Problem and equalisers for certain free group and monoid morphisms. - Manas Jain, Shruthi Narayan, Pratibha Balaji, Bharath K. P, Abhijit Bhowmick, Karthik R, Rajesh Kumar Muthu:
Speech Emotion Recognition using Support Vector Machine. - Jian Sun, Chenye Wu:
Market Power in Convex Hull Pricing. - Chaojin Qing, Wang Yu, Bin Cai, Jiafan Wang, Chuan Huang:
ELM-based Frame Synchronization in Burst-Mode Communication Systems with Nonlinear Distortion. - Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang:
A comprehensive review on convolutional neural network in machine fault diagnosis. - Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi:
Algorithms for Hiring and Outsourcing in the Online Labor Market. - Steven J. Frank:
Image Entropy for Classification and Analysis of Pathology Slides. - Patrick von Platen, Fei Tao, Gökhan Tür:
Multi-Task Siamese Neural Network for Improving Replay Attack Detection. - Cheng Ju, Yan Qin, Chunjiang Fu:
Extending iLQR method with control delay. - Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. - Xiaoxia Liu, Jian Lu, Lixin Shen, Chen Xu, Yuesheng Xu:
Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm. - Meng Zhang, Yang Li:
Multi-objective Optimal Reactive Power Dispatch of Power Systems by Combining Classification Based Multi-objective Evolutionary Algorithm and Integrated Decision Making. - Andrey Malinin, Mark J. F. Gales:
Uncertainty in Structured Prediction. - Johannes Kleiner, Sean Tull:
The Mathematical Structure of Integrated Information Theory. - Stephen R. Green, Christine Simpson, Jonathan Gair:
Gravitational-wave parameter estimation with autoregressive neural network flows. - Jouni Helske, Satu Helske, Matthew Cooper, Anders Ynnerman, Lonni Besançon:
Are You Sure You're Sure? - Effects of Visual Representation on the Cliff Effect in Statistical Inference. - Srinivasan Arunachalam, Aleksandrs Belovs, Andrew M. Childs, Robin Kothari, Ansis Rosmanis, Ronald de Wolf:
Quantum Coupon Collector. - Ziyang Wang, Zhengdong Zhang, Jian-Qing Zheng, Baoru Huang, Irina Voiculescu, Guang-Zhong Yang:
Deep Learning in Medical Ultrasound Image Segmentation: a Review. - Mehdi Ahmadi, Shervin Vakili, J. M. Pierre Langlois:
An Energy-Efficient Accelerator Architecture with Serial Accumulation Dataflow for Deep CNNs. - S. V. Sai Santosh, Sumit Jagdish Darak:
Intelligent and Reconfigurable Architecture for KL Divergence Based Online Machine Learning Algorithm. - Gregor N. C. Simm, Robert Pinsler, José Miguel Hernández-Lobato:
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics. - Nedra Benletaief, Houria Rezig, Ammar Bouallegue:
Reconciliation for Practical Quantum Key Distribution with BB84 protocol. - Ho-Chun Herbert Chang, Feng Fu:
Elitism in Mathematics and Inequality. - Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin:
Camera Model Anonymisation with Augmented cGANs. - Tiago P. Peixoto:
Latent Poisson models for networks with heterogeneous density. - Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar:
Data-Driven Symbol Detection via Model-Based Machine Learning. - Yan Liu, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan, George K. Karagiannidis:
Analyzing Grant-Free Access for URLLC Service. - Andrew M. Childs, Jin-Peng Liu, Aaron Ostrander:
High-precision quantum algorithms for partial differential equations. - Emily T. Winn, Marilyn Vazquez, Prachi Loliencar, Kaisa Taipale, Xu Wang, Giseon Heo:
A survey of statistical learning techniques as applied to inexpensive pediatric Obstructive Sleep Apnea data. - Matthew Leming, Juan Manuel Górriz, John Suckling:
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. - Matteo Cinelli, Valerio Ficcadenti, Jessica Riccioni:
The interconnectedness of the economic content in the speeches of the US Presidents. - A. E. Allahverdyan:
Observational nonidentifiability, generalized likelihood and free energy. - Christian Klein, Svetlana Roudenko, Nikola M. Stoilov:
Numerical study of Zakharov-Kuznetsov equations in two dimensions. - Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek:
LocoGAN - Locally Convolutional GAN. - Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz:
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types. - Fábio Botler, Cristina G. Fernandes, Juan Gutiérrez:
On Tuza's conjecture for triangulations and graphs with small treewidth. - Florian List, Geraint F. Lewis:
A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs. - Shaolong Sun, Yanzhao Li, Shouyang Wang, Ju'e Guo:
Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach. - Shenyinying Tu, Andreas Wächter, Ermin Wei:
A Two-Stage Decomposition Approach for AC Optimal Power Flow. - Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang:
Communication-Efficient Distributed SVD via Local Power Iterations. - Shaolong Sun, Dan Bi, Ju'e Guo, Shouyang Wang:
Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach. - Fanyi Wu, Hongliang Zhang, Jianjun Wu, Lingyang Song:
Cellular UAV-to-Device Communications: Trajectory Design and Mode Selection by Multi-agent Deep Reinforcement Learning. - Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen, Tuomo Valkonen:
Relaxed Gauss-Newton methods with applications to electrical impedance tomography. - Michael Figelius, Moses Ganardi, Markus Lohrey, Georg Zetzsche:
The complexity of knapsack problems in wreath products. - Michael Bamiloshin, Aner Ben-Efraim, Oriol Farràs, Carles Padró:
Common Information, Matroid Representation, and Secret Sharing for Matroid Ports. - Steven Kleinegesse, Michael U. Gutmann:
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation. - Yibo Yang, Robert Bamler, Stephan Mandt:
Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding. - Robin Vogel, Aurélien Bellet, Stéphan Clémençon:
Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking. - Rui Zhang, Kevin G. Stanley, Daniel Fuller, Scott Bell:
Differentiating Population Spatial Behavior using Representative Features of Geospatial Mobility (ReFGeM). - Qi Zhang, Ronaldo I. Borja:
Fluid flow through anisotropic and deformable double porosity media with ultra-low matrix permeability: A continuum framework. - Daniel Silva Graça, Ning Zhong:
The set of hyperbolic equilibria and of invertible zeros on the unit ball is computable. - Srinivasan Arunachalam, Alex B. Grilo, Henry Yuen:
Quantum statistical query learning. - Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk:
A Unified Convergence Analysis for Shuffling-Type Gradient Methods. - Fábio Frazão, Bruno Padovese, Oliver S. Kirsebom:
Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning. - Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil:
Distance-Based Regularisation of Deep Networks for Fine-Tuning. - Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz:
Learning Bounds for Moment-Based Domain Adaptation. - Manuel Sebastian Mariani, María J. Palazzi, Albert Solé-Ribalta, Javier Borge-Holthoefer, Claudio J. Tessone:
Absence of a resolution limit in in-block nestedness. - Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso:
Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. - Shuo-Fei Wang, Wen-Kai Yu, Ya-Xin Li:
Multi-wavelet residual dense convolutional neural network for image denoising. - Rusheng Zhang, Xinze Zhou, Ozan K. Tonguz:
Using AI for Mitigating the Impact of Network Delay in Cloud-based Intelligent Traffic Signal Control. - Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. - Barbara Franci, Sergio Grammatico:
Stochastic generalized Nash equilibrium seeking in merely monotone games. - Luiz Antonio Buschetto Macarini, Aldo von Wangenheim, Felipe Perozzo Daltoé, Alexandre Sherlley Casimiro Onofre, Fabiana Botelho de Miranda Onofre, Marcelo Ricardo Stemmer:
Towards a Complete Pipeline for Segmenting Nuclei in Feulgen-Stained Images. - Gene Ryan Yoo, Houman Owhadi:
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows. - Rongchen Guo, Takanori Fujiwara, Yiran Li, Kelly M. Lima, Soman Sen, Nam K. Tran, Kwan-Liu Ma:
Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding. - Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek:
Algorithm-hardware Co-design for Deformable Convolution. - Wen-Kai Yu, Ya-Xin Li, Jian Leng, Shuo-Fei Wang:
Fragment-synthesis-based multiparty cryptographic key distribution over a public network. - Nikhil S. Mande, Justin Thaler, Shuchen Zhu:
Improved Approximate Degree Bounds For k-distinctness. - Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel:
Implicit Regularization of Random Feature Models. - Weinan Song, Yuan Liang, Kun Wang, Lei He:
T-Net: A Template-Supervised Network for Task-specific Feature Extraction in Biomedical Image Analysis. - Qiong Zhang, Jiahua Chen:
A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance. - Seokhyun Chung, Raed Al Kontar, Zhenke Wu:
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes. - Chi-Hua Wang, Yang Yu, Botao Hao, Guang Cheng:
Residual Bootstrap Exploration for Bandit Algorithms. - Mina Amiri, Rupert Brooks, Hassan Rivaz:
Fine tuning U-Net for ultrasound image segmentation: which layers? - Yang Yu, Shih-Kang Chao, Guang Cheng:
Simultaneous Inference for Massive Data: Distributed Bootstrap. - Georgios Giasemidis:
Descriptive and Predictive Analysis of Euroleague Basketball Games and the Wisdom of Basketball Crowds. - Jorge Barrera:
Criptocurrencies, Fiat Money, Blockchains and Databases. - Jae-Geun Yoon, Minji Lee:
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State. - Alison Duncan Kerr, Kevin Scharp:
The Information in Emotion Communication. - Yunpu Ma, Yuyi Wang, Volker Tresp:
Causal Inference under Networked Interference. - Haitao Lin, Xiangru Li, Ziying Luo:
Pulsars Detection by Machine Learning with Very Few Features. - Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp:
Towards Physically-consistent, Data-driven Models of Convection. - Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li:
Adaptive Temporal Difference Learning with Linear Function Approximation. - Zhiyue Zhang, Kenneth Lange, Jason Xu:
A Scalable Framework for Sparse Clustering Without Shrinkage. - Qing Zhu, Lin Chen, Han Hu, Binzhi Xu, Yeting Zhang, Haifeng Li:
Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition. - Elliott Gordon-Rodríguez, Gabriel Loaiza-Ganem, John P. Cunningham:
The continuous categorical: a novel simplex-valued exponential family. - Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao:
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning. - M. Usman, J. Dunlop:
A Testbed for Assessment of Fountain Codes for Wireless Channels. - Anamay Chaturvedi, Jonathan Scarlett:
Learning Gaussian Graphical Models via Multiplicative Weights. - Jan Backhaus, Matthias Bolten, Onur Tanil Doganay, Matthias Ehrhardt, Benedikt Engel, Christian Frey, Hanno Gottschalk, Michael Günther, Camilla Hahn, Jens Jäschke, Peter Jaksch, Kathrin Klamroth, Alexander Liefke, Daniel Luft, Lucas Mäde, Vincent Marciniak, Marco Reese, Johanna Schultes, Volker Schulz, Sebastian Schmitz, Johannes Steiner, Michael Stiglmayr:
GivEn - Shape Optimization for Gas Turbines in Volatile Energy Networks. - Berkan Kadioglu, Michael Horgan, Xiaoyu Liu, Jordi Pons, Dan Darcy, Vivek Kumar:
An empirical study of Conv-TasNet. - Hossein Khazaei, Ramin Moslemi, Ratnesh Sharma:
Stochastic Decision-Making Model for Aggregation of Residential Units with PV-Systems and Storages. - Milana Gataric:
Generalized sampling with functional principal components for high-resolution random field estimation. - Ville Salo:
Cutting Corners. - Kristiaan Pelckmans, Liu Yang:
APTER: Aggregated Prognosis Through Exponential Reweighting. - Shenzhi Chen, Jin-Ling Hu, Yan Shi, Li Zhao, Wen Li:
A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development. - Arsha Nagrani, Joon Son Chung, Samuel Albanie, Andrew Zisserman:
Disentangled Speech Embeddings using Cross-modal Self-supervision. - Dong An, Lin Lin, Ze Xu:
Split representation of adaptively compressed polarizability operator. - Victor-Emmanuel Brunel, Marco Avella-Medina:
Propose, Test, Release: Differentially private estimation with high probability. - Deepak Baby:
iSEGAN: Improved Speech Enhancement Generative Adversarial Networks. - Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh:
Pruning untrained neural networks: Principles and Analysis. - Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman:
Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI. - Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab S. Mirrokni:
Contextual Reserve Price Optimization in Auctions. - Ruijian Han, Yiming Xu, Kani Chen:
A General Pairwise Comparison Model for Extremely Sparse Networks. - Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo:
Bounding the expected run-time of nonconvex optimization with early stopping. - Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga:
Fast Differentiable Sorting and Ranking. - Jelena Diakonikolas:
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities. - Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Machine Learning to Tackle the Challenges of Transient and Soft Errors in Complex Circuits. - Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Sorush Omidvar:
Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection. - Magnus Bakke Botnan, Vadim Lebovici, Steve Oudot:
On rectangle-decomposable 2-parameter persistence modules. - Manish Tiwari:
STW and SPIHT Wavelet compression using MATLAB wavelet Tool for Color Image. - M. Sadegh Riazi, Seyed M. Chavoshian, Farinaz Koushanfar:
SynFi: Automatic Synthetic Fingerprint Generation. - Alejandro Carderera, Sebastian Pokutta:
Second-order Conditional Gradients. - William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly:
Imputer: Sequence Modelling via Imputation and Dynamic Programming. - Neil Zeghidour, David Grangier:
Wavesplit: End-to-End Speech Separation by Speaker Clustering. - Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon:
Implicit differentiation of Lasso-type models for hyperparameter optimization. - Yassine Hamoudi, Frédéric Magniez:
Quantum Time-Space Tradeoffs by Recording Queries. - Adarsh Subbaswamy, Suchi Saria:
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models. - Hsin-Yuan Huang, Richard Kueng, John Preskill:
Predicting Many Properties of a Quantum System from Very Few Measurements. - Aria Yuan Wang, Michael J. Tarr:
Learning Intermediate Features of Object Affordances with a Convolutional Neural Network. - Abulfazl Zakeri, Narges Gholipoor, Mohsen Tajallifar, Sina Ebrahimi, Mohammad Reza Javan, Nader Mokari, Ahmad-Reza Sharafat:
E2E Migration Strategies Towards 5G: Long-term Migration Plan and Evolution Roadmap. - Jianyu Fan, Eric Nichols, Daniel Tompkins, Ana Elisa Méndez Méndez, Benjamin Elizalde, Philippe Pasquier:
Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix. - Narciso López-López, Andrea Vázquez, Cyril Poupon, Jean-François Mangin, Pamela Guevara:
Cortical surface parcellation based on intra-subject white matter fiber clustering. - Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause:
Distributionally Robust Bayesian Optimization. - Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher, Yoshua Bengio:
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. - Weiqi Ji, Sili Deng:
Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network. - Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans:
GenDICE: Generalized Offline Estimation of Stationary Values. - Essam A. Rashed, José Gómez-Tames, Akimasa Hirata:
Development of accurate human head models for personalized electromagnetic dosimetry using deep learning. - Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda:
Inverted-File k-Means Clustering: Performance Analysis. - Yangyang Xu, Colin Sutcher-Shepard, Yibo Xu, Jie Chen:
Asynchronous parallel adaptive stochastic gradient methods. - Jiangjiang Zhang, Qiang Zheng, Laosheng Wu, Lingzao Zeng:
Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization. - Dmitry Molchanov, Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry P. Vetrov:
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation. - Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner:
Deep Sigma Point Processes. - Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland:
Learning Deep Kernels for Non-Parametric Two-Sample Tests. - Hong-Bin Chen, Hsiang-Chun Hsu, Justie Su-Tzu Juan:
An Easy-to-implement Construction for (k, n)-threshold Progressive Visual Secret Sharing Schemes. - Kati Niinimäki, Matti Hanhela, Ville Kolehmainen:
Parameter selection in dynamic contrast-enhanced magnetic resonance tomography. - Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi:
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. - R. Jyothi, Prabhu Babu:
PIANO: A Fast Parallel Iterative Algorithm for Multinomial and Sparse Multinomial Logistic Regression. - Jiahua Xu, Wei Zhou, Zhibo Chen:
Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks. - Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Learning Optimal Classification Trees: Strong Max-Flow Formulations. - Daniel Andrade, Yuzuru Okajima:
Adaptive Covariate Acquisition for Minimizing Total Cost of Classification. - Mattia Lecci, Paolo Testolina, Marco Giordani, Michele Polese, Tanguy Ropitault, Camillo Gentile, Neeraj Varshney, Anuraag Bodi, Michele Zorzi:
Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation. - Farhan Musanna, Sanjeev Kumar:
Quantum secret sharing using GHZ state qubit positioning and selective qubits strategy for secret reconstruction. - Shuichi Kawano:
Sparse principal component regression via singular value decomposition approach. - Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales:
Sparsity in Optimal Randomized Classification Trees. - Hugo Lhachemi, Christophe Prieur, Robert Shorten:
Stabilization of reaction-diffusion PDEs with both time- and spatially-varying delayed distributed actuation. - Peng Jia, Qiang Liu, Yongyang Sun:
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes. - Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kübler:
Kernel Conditional Moment Test via Maximum Moment Restriction. - Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges:
Binary Probability Model for Learning Based Image Compression. - Jonah Casebeer, Umut Isik, Shrikant Venkataramani, Arvindh Krishnaswamy:
Efficient Trainable Front-Ends for Neural Speech Enhancement. - Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig:
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. - James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth:
Efficiently sampling functions from Gaussian process posteriors. - Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Kaijin Xu, Lingxiang Ruan, Wei Wu:
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia. - Markus Grasmair:
Source Conditions for non-quadratic Tikhonov Regularisation. - Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Generalisation error in learning with random features and the hidden manifold model. - Alexandru Paler, Oumarou Oumarou, Robert Basmadjian:
Constant Depth Bucket Brigade Quantum RAM Circuits Without Introducing Ancillae. - Alla Eddine Toubal Maamar, M'hamed Helaimi, Rachid Taleb, Hadj Mouloudj, Oumaymah Elamri, Abdelatif Gadoum:
Mathematical Analysis of N-R Algorithm for Experimental Implementation of SHEPWM Control on Single-phase Inverter. - Alexandre Clément, Simon Perdrix:
PBS-calculus: A Graphical Language for Quantum-Controlled Computations. - Stéphan Clémençon, Robin Vogel:
A Multiclass Classification Approach to Label Ranking. - Osama Zwaid Alsulami, Sarah O. M. Saeed, Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
Shared optical wireless cells for in-cabin aircraft links. - Sebastian Pina-Otey, Federico Sánchez, Vicens Gaitan:
Likelihood-free inference of experimental Neutrino Oscillations using Neural Spline Flows. - Chi-Hua Wang, Guang Cheng:
Online Batch Decision-Making with High-Dimensional Covariates. - Manuel Bodirsky, Wied Pakusa, Jakub Rydval:
Temporal Constraint Satisfaction Problems in Fixed-Point Logic. - Marc Gauger, Maximilian Arnold, Stephan ten Brink:
Massive MIMO Channel Measurements and Achievable Rates in a Residential Area. - Jon Wilkening, Xinyu Zhao:
Quasi-periodic traveling gravity-capillary waves. - Jonathan Lacotte, Mert Pilanci:
Optimal Randomized First-Order Methods for Least-Squares Problems. - Jakub Byszewski, Jakub Konieczny, Clemens Müllner:
Gowers norms for automatic sequences. - Thibaut Astic, Lindsey J. Heagy, Douglas W. Oldenburg:
Joint geophysical, petrophysical and geologic inversion using a dynamic Gaussian mixture model. - Filip Hanzely, Nikita Doikov, Peter Richtárik, Yurii E. Nesterov:
Stochastic Subspace Cubic Newton Method. - Nathaniel Garton, Jarad Niemi, Alicia L. Carriquiry:
Knot Selection in Sparse Gaussian Processes. - Liam Hodgkinson, Christopher van der Heide, Fred Roosta, Michael W. Mahoney:
Stochastic Normalizing Flows. - Wesley Khademi, Sonia Rao, Clare Minnerath, Guy Hagen, Jonathan Ventura:
Self-Supervised Poisson-Gaussian Denoising. - Sebastian Weichwald, Martin Emil Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando:
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values. - Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani:
Polarizing Front Ends for Robust CNNs. - Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar:
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm. - Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang:
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. - Amanda Bower, Laura Balzano:
Preference Modeling with Context-Dependent Salient Features. - Junchi Yang, Negar Kiyavash, Niao He:
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems. - Jie Fan:
Notes on neighborhood semantics for logics of unknown truths and false beliefs. - Jiangpeng Yan, Shuo Chen, Xiu Li, Yongbing Zhang:
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction. - Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda, Zhang Liang, Giridhar Subramanian, Anirudh Swaminathan, Chin Zhi Yun, Mohan Rajan, Sujatha Mohan, Ramaswami Krishnadas, Vijayalakshmi Senthil, John Mark S. de Leon, Tin Aung Tun, Ching Yu Cheng, Leopold Schmetterer, Shamira A. Perera, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard:
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning. - Yifan Yang, Ju'e Guo, Shaolong Sun, Yixin Li:
A new hybrid approach for crude oil price forecasting: Evidence from multi-scale data. - Yutao Chen, Mircea Lazar:
An Efficient MPC Algorithm For Switched Nonlinear Systems with Minimum Dwell Time Constraints. - Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
Kernel interpolation with continuous volume sampling. - Guowei Zhang, Tao Ren, Yifan Yang:
A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting. - Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. - Qiyuan Fu, Chen Li:
Robotic modeling of snake traversing large, smooth obstacles reveals stability benefits of body compliance. - Jie Zhou, Will Wei Sun, Jingfei Zhang, Lexin Li:
Partially Observed Dynamic Tensor Response Regression. - Li Kevin Wenliang, Theodore H. Moskovitz, Heishiro Kanagawa, Maneesh Sahani:
Amortised Learning by Wake-Sleep. - Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian:
VFlow: More Expressive Generative Flows with Variational Data Augmentation. - Henry W. J. Reeve, Ata Kabán:
Optimistic bounds for multi-output prediction. - Bochen Tan, Jason Cong:
Optimality Study of Existing Quantum Computing Layout Synthesis Tools. - Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael I. Jordan:
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games. - Amirata Ghorbani, James Y. Zou:
Neuron Shapley: Discovering the Responsible Neurons. - Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei:
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification. - Joonyoung Song, Jae-Heon Jeong, Dae-Soon Park, Hyun-Ho Kim, Doo-Chun Seo, Jong Chul Ye:
Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN. - Dominic Kafka, Daniel N. Wilke:
Investigating the interaction between gradient-only line searches and different activation functions. - Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. - Leopoldo Eduardo Cárdenas-Barrón, Rafael A. Melo, Marcio Costa Santos:
Extended formulation and valid inequalities for the multi-item inventory lot-sizing problem with supplier selection. - Sebastian Acosta:
Solvability for Photoacoustic Imaging with Idealized Piezoelectric Sensors. - Evgueni Dinvay, Daulet Moldabayev, Denys Dutykh, Henrik Kalisch:
The Whitham Equation with Surface Tension. - Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco:
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification. - Mario Krenn, Manuel Erhard, Anton Zeilinger:
Computer-inspired Quantum Experiments. - Rajula Srivastava:
Orthogonal Systems of Spline Wavelets as Unconditional Bases in Sobolev Spaces. - Michael Pearce, Janis Klaise, Matthew J. Groves:
ConBO: Conditional Bayesian Optimization. - Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen:
Generalized Bayesian Filtering via Sequential Monte Carlo. - Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai:
Optimal Jammer Placement in UAV-assisted Relay Networks. - Shahab Shamshirband, Amir Mosavi, Narjes Nabipour, Kwok-Wing Chau:
Application of ERA5 and MENA simulations to predict offshore wind energy potential. - Amir Shakouri:
Suboptimal Stabilization of Unknown Nonlinear Systems via Extended State Observers. - Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu:
Generalized Octave Convolutions for Learned Multi-Frequency Image Compression. - Sema Candemir, Xuan V. Nguyen, Luciano M. Prevedello, Matthew T. Bigelow, Richard D. White, Barbaros S. Erdal:
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis. - Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan:
Handling the Positive-Definite Constraint in the Bayesian Learning Rule. - Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Towards precise causal effect estimation from data with hidden variables. - Agustinus Kristiadi, Matthias Hein, Philipp Hennig:
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks. - Ahmet Gökhan Poyraz, Ahmet Emir Dirik, Ahmet Karaküçük, Nasir D. Memon:
Fusion of Camera Model and Source Device Specific Forensic Methods for Improved Tamper Detection. - Markus Kantner, Thomas Koprucki:
Non-isothermal Scharfetter-Gummel scheme for electro-thermal transport simulation in degenerate semiconductors. - Michael Golosovsky:
Universality of citation distributions and its explanation. - Michael Golosovsky:
Uncited papers are not unread. - Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen, Alle-Jan van der Veen:
Joint blind calibration and time-delay estimation for multiband ranging. - Wojciech Krzemien, Aleksander Gajos, Krzysztof Kacprzak, Kamil Rakoczy, Grzegorz Korcyl:
J-PET Framework: Software platform for PET tomography data reconstruction and analysis. - Chenwei Yang, Meng Chang, Huajun Feng, Zhihai Xu, Qi Li:
Beyond Camera Motion Removing: How to Handle Outliers in Deblurring. - Cónall Kelly, Gabriel J. Lord, Heru Maulana:
Hybrid, adaptive, and positivity preserving numerical methods for the Cox-Ingersoll-Ross model. - Tian-Xiang Mao, Jie Wang, Baojiu Li, Yan-Chuan Cai, Bridget Falck, Mark Neyrinck, Alex Szalay:
Baryon acoustic oscillations reconstruction using convolutional neural networks. - Tianyu Cui, Aki S. Havulinna, Pekka Marttinen, Samuel Kaski:
Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks. - Manav Kaushik, A. K. Giri:
Forecasting Foreign Exchange Rate: A Multivariate Comparative Analysis between Traditional Econometric, Contemporary Machine Learning & Deep Learning Techniques. - Roozbeh Yousefzadeh:
Using wavelets to analyze similarities in image datasets. - Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schölkopf:
Testing Goodness of Fit of Conditional Density Models with Kernels. - Marco Carnini, Alessandro Pastore:
Trees and Forests in Nuclear Physics. - Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson, Johan Löfberg:
Estimation-aware model predictive path-following control for a general 2-trailer with a car-like tractor. - Ben Moews, Gbenga Ibikunle:
Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning. - Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee:
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. - Myun-Seok Cheon:
An Outer-approximation Guided Optimization Approach for Constrained Neural Network Inverse Problems. - Siddharth Sharma:
QEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature Spaces. - Hamoon Mousavi, Seyed Sajjad Nezhadi, Henry Yuen:
On the complexity of zero gap MIP. - Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell:
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes. - Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan:
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction. - Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney:
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. - Ruslan V. Skuratovskii, Aled Williams:
Commutator subgroups of Sylow 2-subgroups of alternating group and Miller-Moreno groups as bases of new Key Exchange Protocol. - Nicolas Loizou, Sharan Vaswani, Issam H. Laradji, Simon Lacoste-Julien:
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence. - Chengping Rao, Hao Sun, Yang Liu:
Physics-informed deep learning for incompressible laminar flows. - Ekaterina Abramova, Derek W. Bunn:
Forecasting the Intra-Day Spread Densities of Electricity Prices. - Dejan Vukobratovic, Francisco J. Escribano:
Adaptive Multi-Receiver Coded Slotted ALOHA for Indoor Optical Wireless Communications. - Aniket A. Tolpadi, Jinhee J. Lee, Valentina Pedoia, Sharmila Majumdar:
Deep learning predicts total knee replacement from magnetic resonance images. - Jonathan M. Baker, Casey Duckering, Frederic T. Chong:
Efficient Quantum Circuit Decompositions via Intermediate Qudits. - Pengchuan Zhang, Hunter Lang, Qiang Liu, Lin Xiao:
Statistical Adaptive Stochastic Gradient Methods. - Zhiming Fang, Zhongyi Huang, Xiaolian Li, Jun Zhang, Wei Lv, Lei Zhuang, Xingpeng Xu, Nan Huang:
How many infections of COVID-19 there will be in the "Diamond Princess"-Predicted by a virus transmission model based on the simulation of crowd flow. - Liang Yu, Mingfei Xia, Lin Gao:
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction. - Marius Hofert, Avinash Prasad, Mu Zhu:
Multivariate time-series modeling with generative neural networks. - Lijun Ding, Madeleine Udell:
On the regularity and conditioning of low rank semidefinite programs. - Amal Alghamdi, Marc Andre Hesse, Jingyi Chen, Omar Ghattas:
Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data. Part I: Maximum A Posteriori Estimate. - Arkopal Choudhury, Michael R. Kosorok:
Missing Data Imputation for Classification Problems. - Takayuki Kihara:
Degrees of incomputability, realizability and constructive reverse mathematics. - Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié:
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. - Iwan Paolucci:
Technical report: Kidney tumor segmentation using a 2D U-Net followed by a statistical post-processing filter. - Bartosz Walczak:
Coloring triangle-free L-graphs with O(log log n) colors. - Eero Hirvijoki, Katharina Kormann, Filippo Zonta:
Subcycling of particle orbits in variational, geometric electromagnetic particle-in-cell methods. - Xin Xu, Xiaopeng Luo:
Can speed up the convergence rate of stochastic gradient methods to O(1/k2) by a gradient averaging strategy? - Sven Koitka, Lennard Kroll, Eugen Malamutmann, Arzu Oezcelik, Felix Nensa:
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks. - Yifan Hu, Siqi Zhang, Xin Chen, Niao He:
Biased Stochastic Gradient Descent for Conditional Stochastic Optimization. - Metehan Cekic, Soorya Gopalakrishnan, Upamanyu Madhow:
Robust Wireless Fingerprinting: Generalizing Across Space and Time. - Qi Liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Honglei Su:
Rate Distortion Optimized Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression. - Stefan Eggenreich, Christian Payer, Martin Urschler, Darko Stern:
Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction. - Eran Hof, Amichai Sanderovich, Evyatar Hemo:
Gesture recognition with 60GHz 802.11 waveforms. - Imke Mayer, Julie Josse, Félix Raimundo, Jean-Philippe Vert:
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models. - Takahiro Yoshida, Ryohei Hisano, Takaaki Ohnishi:
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back. - Jungho Ahn, Lars Jaffke, O-joung Kwon, Paloma T. Lima:
Well-partitioned chordal graphs: obstruction set and disjoint paths. - Fatemeh Najibi, Dimitra Apostolopoulou, Eduardo Alonso:
Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast. - Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). - Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank:
Planning for Compilation of a Quantum Algorithm for Graph Coloring. - Nupur Patanker, Sanjay Kumar Singh:
Second generalized Hamming weight of Projective Toric Code over Hypersimplices. - Matthew Leming, John Suckling:
Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank. - Dmitrii Krylov, Rémi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov:
Reinforcement Learning Framework for Deep Brain Stimulation Study. - Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. - Matthew Dixon, Igor Halperin:
G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning. - Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger:
Recalibrating 3D ConvNets with Project & Excite. - Yiran Li, Takanori Fujiwara, Yong K. Choi, Katherine K. Kim, Kwan-Liu Ma:
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions. - Amir Ban, Moran Koren:
A Practical Approach to Social Learning. - Simone Costa, Marco Dalai:
New bounds for perfect k-hashing. - Valerio Capraro, Matjaz Perc, Daniele Vilone:
Lying on networks: The role of structure and topology in promoting honesty. - Shuting Sun, Jianxiu Li, Huayu Chen, Tao Gong, Xiaowei Li, Bin Hu:
A study of resting-state EEG biomarkers for depression recognition. - Haris Gacanin, Marco Di Renzo:
Wireless 2.0: Towards an Intelligent Radio Environment Empowered by Reconfigurable Meta-Surfaces and Artificial Intelligence. - László Nádai, Imre Felde, Sina Ardabili, Tarahom Mesri Gundoshmian, Gergo Pintér, Amir Mosavi:
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization. - Sina Ardabili, Bertalan Beszedes, László Nádai, Károly Széll, Amir Mosavi, Imre Felde:
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System. - Ruthvik Vaila, Denver Lloyd, Kevin Tetz:
Regression with Deep Learning for Sensor Performance Optimization. - Changyang She, Rui Dong, Zhouyou Gu, Zhanwei Hou, Yonghui Li, Wibowo Hardjawana, Chenyang Yang, Lingyang Song, Branka Vucetic:
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks. - Anwen Wang, Xianjia Meng, Lvju Wang, Xiang Ji, Hao Chen, Baoying Liu, Feng Chen, Yajuan Du, Guangcheng Yin:
TLFW: A Three-layer Framework in Wireless Rechargeable Sensor Network with a Mobile Base Station. - Lucas Mol, Matthew J. H. Murphy, Ortrud R. Oellermann:
The Threshold Dimension and Irreducible Graphs. - Andrew Nemec, Andreas Klappenecker:
Nonbinary Error-Detecting Hybrid Codes. - Kyra Gan, Andrew A. Li, Zachary C. Lipton, Sridhar R. Tayur:
Causal Inference With Selectively-Deconfounded Data. - Ayush Jain, Alon Orlitsky:
A General Method for Robust Learning from Batches. - Neil A. Thacker, Carole J. Twining, Paul D. Tar, Scott Notley, Visvanathan Ramesh:
Fundamental Issues Regarding Uncertainties in Artificial Neural Networks. - Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson:
Smoothing Graphons for Modelling Exchangeable Relational Data. - Johannes Kirschner, Tor Lattimore, Andreas Krause:
Information Directed Sampling for Linear Partial Monitoring. - Zeyu Sun, Yindi Jing, Xinwei Yu:
NOMA Design with Power-Outage Tradeoff for Two-User Systems. - Alessandro Rossi, Sara Ermini, Dario Bernabini, Dario Zanca, Marino Todisco, Alessandro Genovese, Antonio Rizzo:
End-to-End Models for the Analysis of System 1 and System 2 Interactions based on Eye-Tracking Data. - Ilya A. Surov:
Quantum Cognitive Triad. Semantic geometry of context representation. - Gideon Amir, Rangel Baldasso, Gady Kozma:
The firefighter problem on polynomial and intermediate growth groups. - Yassine Laguel, Krishna Pillutla, Jérôme Malick, Zaïd Harchaoui:
Device Heterogeneity in Federated Learning: A Superquantile Approach. - Mohammed Usman:
Concatenated Convolution-Polar codes over Rayleigh Channels degraded as Erasure Channels. - Mohammed Usman, Zeeshan Ahmad, Mohd Wajid:
Dataset of raw and pre-processed speech signals, Mel Frequency Cepstral Coefficients of Speech and Heart Rate measurements. - Rungang Han, Rebecca Willett, Anru Zhang:
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation. - Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh:
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling. - Nicolas Essis-Breton, Patrice Gaillardetz:
Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale. - Erik McDermott, Hasim Sak, Ehsan Variani:
A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition. - Garance Cordonnier, Manuel Lafond:
Comparing copy-number profiles under multi-copy amplifications and deletions. - Alex Luedtke, Incheoul Chung, Oleg Sofrygin:
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures. - Muhammad Asad Lodhi, Waheed U. Bajwa:
Learning Product Graphs Underlying Smooth Graph Signals. - Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves M. Louis, Jie Ling, Ming Hu, Jianjun Hu:
Machine Learning based prediction of noncentrosymmetric crystal materials. - Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz, Wei-Ting Chen, Qiying Li, Zuoyi Li, Xianjia Shao, Alfred Sunaryo, Mingren Shen, James Wang, Dane Morgan:
Assessing Graph-based Deep Learning Models for Predicting Flash Point. - X. F. Xu, S. Talbot, T. Selvaraja:
Deep Learning Based Cell Parasites Detection. - Dmitry Kovalev, Robert M. Gower, Peter Richtárik, Alexander Rogozin:
Fast Linear Convergence of Randomized BFGS. - Tianyi Chen, Yuejiao Sun, Wotao Yin:
LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning. - Itai Arieli, Yakov Babichenko, Fedor Sandomirskiy, Omer Tamuz:
Feasible Joint Posterior Beliefs. - Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtárik:
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization. - Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren:
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting. - Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson:
Bayesian Nonparametric Space Partitions: A Survey. - Shunta Maeda:
Unpaired Image Super-Resolution using Pseudo-Supervision. - Maria Tirindelli, Maria Victorova, Javier Esteban, Seong Tae Kim, David Navarro-Alarcon, Yong-Ping Zheng, Nassir Navab:
Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level". - Jalpa Shah, Biswajit Mishra:
Analytical Equations based Prediction Approach for PM2.5 using Artificial Neural Network. - Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya O. Tolstikhin:
Predicting Neural Network Accuracy from Weights. - Théo Galy-Fajou, Florian Wenzel, Manfred Opper:
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models. - Zhilong Xiao, Xiaojie Chen, Attila Szolnoki:
Leaving bads provides better outcome than approaching goods in a social dilemma. - Francesca Fantoni, Andrea Bacigalupo:
Wave propagation modeling in periodic elasto-thermo-diffusive materials via multifield asymptotic homogenization. - Martin Brossard, Virginie Ollier, Mohammed Nabil El Korso, Rémy Boyer, Pascal Larzabal:
Multi-frequency calibration for DOA estimation with distributed sensors. - Mohamed Elnourani, Siddharth Deshmukh, Baltasar Beferull-Lozano, Daniel Romero:
Robust Underlay Device-to-Device Communications on Multiple Channels. - Fateme Mostafaie, Reihaneh Teimouri, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi:
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images. - B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov:
A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing. - Jiaze Sun, Jiahui Deng, Yang Li:
Indicator & crowding Distance-Based Evolutionary Algorithm for Combined Heat and Power Economic Emission Dispatch. - Evgeny Ponomarev, Ivan V. Oseledets, Andrzej Cichocki:
Using Reinforcement Learning in the Algorithmic Trading Problem. - Jakob Lindqvist, Amanda Olmin, Fredrik Lindsten, Lennart Svensson:
A general framework for ensemble distribution distillation. - Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari:
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. - Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen:
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models. - Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
The role of regularization in classification of high-dimensional noisy Gaussian mixture. - Artjom Zern, Alexander Zeilmann, Christoph Schnörr:
Assignment Flows for Data Labeling on Graphs: Convergence and Stability. - Aditya Saligrama, Guillaume Leclerc:
Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy. - Han Shu, Yunhe Wang:
Automatically Searching for U-Net Image Translator Architecture. - Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh:
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. - Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li:
Stagewise Enlargement of Batch Size for SGD-based Learning. - Daniel Inostroza, Cecilia Hernández, Diego Seco, Gonzalo Navarro, Alvaro Olivera-Nappa:
Cell cycle and protein complex dynamics in discovering signaling pathways. - Masahiro Kato, Masatoshi Uehara, Shota Yasui:
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift. - Yi Hao, Alon Orlitsky:
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions. - Joshua Zahl:
Sphere tangencies, line incidences, and Lie's line-sphere correspondence. - Tommaso Nesti, John Moriarty, Alessandro Zocca, Bert Zwart:
Large Fluctuations in Locational Marginal Prices. - Milad Roohi, Eric M. Hernandez:
Performance-based Post-earthquake Decision-making for Instrumented Buildings. - Tesi Aliaj, Aris Anagnostopoulos, Stefano Piersanti:
Firms Default Prediction with Machine Learning. - Erik M. Lindgren, Jay Whang, Alexandros G. Dimakis:
Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems. - Lucas Böttcher, Nino Antulov-Fantulin:
Unifying susceptible-infected-recovered processes on networks. - Haruki Nishimura, Mac Schwager:
SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action Control. - Zalan Fabian, Justin P. Haldar, Richard M. Leahy, Mahdi Soltanolkotabi:
3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. - Frédéric Magniez, Ashwin Nayak:
Quantum Distributed Complexity of Set Disjointness on a Line. - Daniele Cuomo, Marcello Caleffi, Angela Sara Cacciapuoti:
Towards a Distributed Quantum Computing Ecosystem. - Mindaugas Bloznelis, Joona Karjalainen, Lasse Leskelä:
Assortativity and bidegree distributions on Bernoulli random graph superpositions. - Hossen Teimoorinia, Robert D. Toyonaga, Sebastien Fabbro, Connor Bottrell:
Comparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses. - Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Fabian Pedregosa:
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. - Tanmay Gangwani, Jian Peng:
State-only Imitation with Transition Dynamics Mismatch. - Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik:
BBAND Index: A No-Reference Banding Artifact Predictor. - Randall Balestriero, Sébastien Paris, Richard G. Baraniuk:
Max-Affine Spline Insights into Deep Generative Networks. - Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang:
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation. - Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro, Shoji Kido, Noriyuki Tomiyama:
Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset. - Philipp Leinen, Malte Esders, Kristof T. Schütt, Christian Wagner, Klaus-Robert Müller, F. Stefan Tautz:
Autonomous robotic nanofabrication with reinforcement learning. - Kunlun Wang, Qingqing Wu, Wen Chen, Yang Yang, Derrick Wing Kwan Ng:
Energy-Efficient Buffer-Aided Relaying Systems with Opportunistic Spectrum Access. - Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré:
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. - Ohad Shamir:
Can We Find Near-Approximately-Stationary Points of Nonsmooth Nonconvex Functions? - Eran Hof, Amichai Sanderovich, Evyatar Hemo:
Face Verification Using 60~GHz 802.11 waveforms. - Andreas Binder, Onkar Jadhav, Volker Mehrmann:
Model order reduction for parametric high dimensional models in the analysis of financial risk. - Andrea Coladangelo, Or Sattath:
A Quantum Money Solution to the Blockchain Scalability Problem. - Masahito Hayashi, Kun Fang:
Finite Block Length Analysis on Quantum Coherence Distillation and Incoherent Randomness Extraction. - Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Semi-supervised Anomaly Detection on Attributed Graphs. - Siqi Ye, Yong Long, Il Yong Chun:
Momentum-Net for Low-Dose CT Image Reconstruction. - Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux:
Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis. - Oliver Bendele, Dieter Rautenbach:
Additive Tree O(ρ log n)-Spanners from Tree Breadth ρ. - Jinglan Liu, Yukun Ding, Jinjun Xiong, Qianjun Jia, Meiping Huang, Jian Zhuang, Bike Xie, Chun-Chen Liu, Yiyu Shi:
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising. - Vahan Nanumyan, Christoph Gote, Frank Schweitzer:
A multi-layer network approach to modelling authorship influence on citation dynamics in physics journals. - Kazuyuki Tanaka, Izumi Mochizuki, Takashi Hanada, Ayahiko Ichimiya, Toshio Hyodo, Takeo Hoshi:
Two-stage data-analysis method for total-reflection high-energy positron diffraction (TRHEPD). - Fan Wei, Wen Chen:
Low Complexity Iterative Receiver Design for Sparse Code Multiple Access. - Christian Himpe:
Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms. - Arya D. McCarthy, Liezl Puzon, Juan Miguel Pino:
SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech Translation. - Valentin Bouquet, François Delbot, Christophe Picouleau, Stéphane Rovedakis:
On Minimum Dominating Sets in cubic and (claw, H)-free graphs. - Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers:
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. - Achille Thin, Nikita Kotelevskii, Jean-Stanislas Denain, Léo Grinsztajn, Alain Durmus, Maxim Panov, Eric Moulines:
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference. - Kaikai Huang, Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada:
Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization. - Paz Grimberg, Tobias Lauinger, Damon McCoy:
Empirical Analysis of Indirect Internal Conversions in Cryptocurrency Exchanges. - Vít Jelínek, Mark Karpilovskij:
Fillings of skew shapes avoiding diagonal patterns. - Wanrong Zhang, Gautam Kamath, Rachel Cummings:
PAPRIKA: Private Online False Discovery Rate Control. - Tatiana A. Bubba, Tommi Heikkilä, Hanna Help, Simo Huotari, Yann Salmon, Samuli Siltanen:
Sparse dynamic tomography. A shearlet-based approach for iodine perfusion in plant stems. - Hu Ding, Tan Chen, Mingyue Wang, Fan Yang:
A Data Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimension. - Maximilian Seitzer, Andreas Foltyn, Felix P. Kemeth:
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps. - Adriana Tapus, Andreea Peca, Amir Aly, Cristina Pop, Lavinia Jisa, Sebastian Pintea, Alina Rusu, Daniel O. David:
Social Engagement of Children with Autism during Interaction with a Robot. - Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar:
Sub-Goal Trees - a Framework for Goal-Based Reinforcement Learning. - Jonathan Baxter:
Theoretical Models of Learning to Learn. - Daniel J. Liebling, Michal Lahav, Abigail Evans, Aaron Donsbach, Jess Holbrook, Boris Smus, Lindsey Boran:
Unmet Needs and Opportunities for Mobile Translation AI. - Alex Goeßmann, M. Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert:
Tensor network approaches for learning non-linear dynamical laws. - Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs:
Joint 2D-3D Breast Cancer Classification. - Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le:
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. - Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Affinity guided Geometric Semi-Supervised Metric Learning. - Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li:
Provable Robust Learning Based on Transformation-Specific Smoothing. - Andy Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier:
ConQUR: Mitigating Delusional Bias in Deep Q-learning. - Yuqi Cui, Huidong Wang, Dongrui Wu:
Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers. - Yansong Gao, Pratik Chaudhari:
A Free-Energy Principle for Representation Learning. - Dapeng Zhao, William Whittaker:
High Precision In-Pipe Robot Localization with Reciprocal Sensor Fusion. - Aleksandr Beznosikov, Samuel Horváth, Peter Richtárik, Mher Safaryan:
On Biased Compression for Distributed Learning. - Ali Ayub, Alan R. Wagner:
Cognitively-Inspired Model for Incremental Learning Using a Few Examples. - Ipsita Koley, Saurav Kumar Ghosh, Soumyajit Dey, Debdeep Mukhopadhyay, Amogh Kashyap K. N., Sachin Kumar Singh, Lavanya Lokesh, Jithin Nalu Purakkal, Nishant Sinha:
Formal Synthesis of Monitoring and Detection Systems for Secure CPS Implementations. - Mahmoud Assran, Michael G. Rabbat:
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings. - Gideon Billings, Matthew Johnson-Roberson:
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images. - Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren:
Learning in the Frequency Domain. - Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lv, Zhihua Wu:
MNN: A Universal and Efficient Inference Engine. - Amit Sarker, Abdullahil Baki Arif, Moumita Choudhury, Md. Mosaddek Khan:
C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs. - Ming Gong, Liping Yang, Catherine Potts, Vijayan K. Asari, Diane Oyen, Brendt Wohlberg:
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images. - Rahul Singh, Abhishek Gupta, Ness B. Shroff:
Learning in Markov Decision Processes under Constraints. - Heytem Zitoun, Claude Michel, Laurent Michel, Michel Rueher:
An efficient constraint based framework forhandling floating point SMT problems. - Daniel Alfredo Ciolek, Nicolás D'Ippolito, Alberto Pozanco, Sebastian Sardiña:
Multi-tier Automated Planning for Adaptive Behavior (Extended Version). - Aaron Zweig, Joan Bruna:
Provably Efficient Third-Person Imitation from Offline Observation. - Heytem Zitoun, Claude Michel, Laurent Michel, Michel Rueher:
Bringing freedom in variable choice when searching counter-examples in floating point programs. - Juliana Jansen Ferreira, Mateus de Souza Monteiro:
Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution. - Xiang Deng, Zhongfei Zhang:
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? - Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen:
Comment Ranking Diversification in Forum Discussions. - Shaleen Deep, Xiao Hu, Paraschos Koutris:
Fast Join Project Query Evaluation using Matrix Multiplication. - Yuxin Sun, Benny Chain, Samuel Kaski, John Shawe-Taylor:
Correlated Feature Selection with Extended Exclusive Group Lasso. - Vinorth Varatharasan, Alice Shuang Shuang Rao, Eric Toutounji, Ju-Hyeon Hong, Hyo-Sang Shin:
Target Detection, Tracking and Avoidance System for Low-cost UAVs using AI-Based Approaches. - Cuong V. Nguyen, Tal Hassner, Cédric Archambeau, Matthias W. Seeger:
LEEP: A New Measure to Evaluate Transferability of Learned Representations. - Marc Fischer, Maximilian Baader, Martin T. Vechev:
Certification of Semantic Perturbations via Randomized Smoothing. - Josiah Putman, Lisa Oh, Luyang Zhao, Evan Honnold, Galen Brown, Weifu Wang, Devin J. Balkcom:
Piecewise linear regressions for approximating distance metrics. - Vinorth Varatharasan, Hyo-Sang Shin, Antonios Tsourdos, Nick Colosimo:
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds. - Bilal Saleem, Paul Schmitt, Jay Chen, Barath Raghavan:
Beyond the Trees: Resilient Multipath for Last-mile WISP Networks. - Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu:
Time Series Data Augmentation for Deep Learning: A Survey. - Dhammika Pieris, M. C. Wijegunesekera, N. G. J. Dias:
An Improved Generic ER Schema for Conceptual Modeling of Information Systems. - Michal Okulewicz, Mateusz Zaborski, Jacek Mandziuk:
Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples. - Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu:
Cross-modality Person re-identification with Shared-Specific Feature Transfer. - Stanislav Panev, Francisco Vicente, Fernando De la Torre, Véronique Prinet:
Road Curb Detection and Localization with Monocular Forward-view Vehicle Camera. - Jeb Stefan, Ali Reza Pedram, Riku Funada, Takashi Tanaka:
Rationally Inattentive Path-Planning via RRT. - William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio, Hugo Larochelle:
On Catastrophic Interference in Atari 2600 Games. - Akanksha Saran, Ruohan Zhang, Elaine Schaertl Short, Scott Niekum:
Efficiently Guiding Imitation Learning Algorithms with Human Gaze. - Maximilian Nickel, Matthew Le:
Learning Multivariate Hawkes Processes at Scale. - Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath:
Detecting Patch Adversarial Attacks with Image Residuals. - Jaehyeok Han, Jungheum Park, Hyunji Chung, Sangjin Lee:
Forensic analysis of the Windows telemetry for diagnostics. - Hong Xing, Osvaldo Simeone, Suzhi Bi:
Decentralized Federated Learning via SGD over Wireless D2D Networks. - Jinyuan Zhao, Yanna Wang, Baihua Xiao, Cunzhao Shi, Fuxi Jia, Chunheng Wang:
DGST : Discriminator Guided Scene Text detector. - Vishal Chakraborty, Phokion G. Kolaitis:
The Complexity of Possible Winners on Partial Chains. - Corey Tessler, Venkata P. Modekurthy, Nathan Fisher, Abusayeed Saifullah:
Bringing Inter-Thread Cache Benefits to Federated Scheduling - Extended Results & Technical Report. - Matt Gorbett, Nathaniel Blanchard:
Utilizing Network Properties to Detect Erroneous Inputs. - Mingxuan Li, Jingyuan Wang, Yufan Wu:
Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method. - Yinxiao Li:
Handling Position Bias for Unbiased Learning to Rank in Hotels Search. - Hongyan Hao, Yan Wang, Yudi Xia, Jian Zhao, Furao Shen:
Temporal Convolutional Attention-based Network For Sequence Modeling. - Jinlong Kang, Jiaxiang Zheng, Heng Bai, Xiaoting Xue, Yang Zhou, Jun Guo:
A Video Analysis Method on Wanfang Dataset via Deep Neural Network. - Zichu Liu, Qing Zhang, Pei Wang, Zhen Li, Huiru Wang:
Automated classification of stems and leaves of potted plants based on point cloud data. - Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz, Cyrus Rashtchian:
Explainable k-Means and k-Medians Clustering. - Ali Akbar Septiandri, Yosef Ardhito Winatmoko:
UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia. - Tsong Yueh Chen, Shing-Chi Cheung, Siu-Ming Yiu:
Metamorphic Testing: A New Approach for Generating Next Test Cases. - Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Robust Unsupervised Neural Machine Translation with Adversarial Training. - Ludovic Font, Sébastien Cyr, Philippe R. Richard, Michel Gagnon:
Automating the Generation of High School Geometry Proofs using Prolog in an Educational Context. 1-16 - Josje Lodder, Bastiaan Heeren, Johan Jeuring:
Providing Hints, Next Steps and Feedback in a Tutoring System for Structural Induction. 17-34 - David M. Cerna, Rafael P. D. Kiesel, Alexandra Dzhiganskaya:
A Mobile Application for Self-Guided Study of Formal Reasoning. 35-53 - Sarah Winkler, Aart Middeldorp:
Tools in Term Rewriting for Education. 54-72 - Asta Halkjær From, Alexander Birch Jensen, Anders Schlichtkrull, Jørgen Villadsen:
Teaching a Formalized Logical Calculus. 73-92 - Nuno Baeta, Pedro Quaresma, Zoltán Kovács:
Towards a Geometry Automated Provers Competition. 93-100 - Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri:
Hand-Priming in Object Localization for Assistive Egocentric Vision. - Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, Tiejun Zhao:
Modeling Future Cost for Neural Machine Translation. - Ziang Long, Penghang Yin, Jack Xin:
Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data. - Yaxin Zhao, Jichao Jiao, Tangkun Zhang:
MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition. - Rang Meng, Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu:
Neural Inheritance Relation Guided One-Shot Layer Assignment Search. - Hossein Akhlaghpasand, Emil Björnson, Seyed Mohammad Razavizadeh:
Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems. - Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun:
Exploring and Distilling Cross-Modal Information for Image Captioning. - Juping Zhang, Wenchao Xia, Minglei You, Gan Zheng, Sangarapillai Lambotharan, Kai-Kit Wong:
Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration. - Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. - Makoto Takamoto, Yusuke Morishita, Hitoshi Imaoka:
An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation. - Marguerite Delcourt, Jean-Yves Le Boudec:
Security Measures for Grids against Rank-1 Undetectable Time-Synchronization Attacks. - Hyeong-Seok Jeon, Junwon Choi, Dongsuk Kum:
SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network. - Francesco Pierri, Carlo Piccardi, Stefano Ceri:
A multi-layer approach to disinformation detection on Twitter. - Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. - Peter Hornung, Martin Rumpf, Stefan Simon:
On Material Optimisation for Nonlinearly Elastic Plates and Shells. - Henri Ots, Innar Liiv, Diana Tur:
Mobile Phone Usage Data for Credit Scoring. - Marialena Akriotou, Alexandros Fragkos, Dimitris Syvridis:
Photonic Physical Unclonable Functions: From the Concept to Fully Functional Device Operating in the Field. - Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. - Florian Bernard, Zeeshan Khan Suri, Christian Theobalt:
MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment. - Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, Yebin Liu:
4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras. - Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Reinforcement Learning through Active Inference. - Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. - Buse Melis Özyildirim, Mariam Kiran:
Do optimization methods in deep learning applications matter? - Jennifer Williams, Joanna Rownicka, Pilar Oplustil, Simon King:
Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis. - Binglei Zhao, Hanbo Zhang, Xuguang Lan, Haoyu Wang, Zhiqiang Tian, Nanning Zheng:
REGNet: REgion-based Grasp Network for Single-shot Grasp Detection in Point Clouds. - Hang Yang, Zekun Niu, Lilin Yi, Shilin Xiao:
Optical Fiber Channel Modeling Using Conditional Generative Adversarial Network. - Misha Abraham, Himajit Aithal, Krishnan Mohan:
Real time Smart Contracts for IoT using Blockchain and Collaborative Intelligence based Dynamic Pricing for the next generation Smart Toll Application. - Edgar Schönfeld, Bernt Schiele, Anna Khoreva:
A U-Net Based Discriminator for Generative Adversarial Networks. - Manuel Cáceres, Simon J. Puglisi, Bella Zhukova:
Fast Indexes for Gapped Pattern Matching. - Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong:
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression. - Chao Wang, Kezhao Huang, Xuehai Qian:
A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols. - Brendan Patch, Bert Zwart:
Analyzing large frequency disruptions in power systems using large deviations theory. - Sebastian Lunz, Yingzhen Li, Andrew W. Fitzgibbon, Nate Kushman:
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data. - Brendan Patch, Bert Zwart:
Ranking transmission lines by overload probability using the empirical rate function. - Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. - Peter Benner, Steffen W. R. Werner:
MORLAB - The Model Order Reduction LABoratory. - Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna:
RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media. - Paolo Cudrano, Simone Mentasti, Matteo Matteucci, Mattia Bersani, Stefano Arrigoni, Federico Cheli:
Advances in centerline estimation for autonomous lateral control. - Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang:
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations. - Giovanni Neglia, Chuan Xu, Don Towsley, Gianmarco Calbi:
Decentralized gradient methods: does topology matter? - Andrzej Odrzywolek:
Criteria for the numerical constant recognition. - Hamid Rahkooy, Thomas Sturm:
A Linear Algebra Approach for Detecting Binomiality of Steady State Ideals of Reversible Chemical Reaction Networks. - Victor A. Campos, Raul Lopes, Andrea Marino, Ana Silva:
Edge-Disjoint Branchings in Temporal Graphs. - Valentino Sabbatino, Laura Ana Maria Bostan, Roman Klinger:
Automatic Section Recognition in Obituaries. - Kefan Chen, Wei Pang:
ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures. - Tesshu Hanaka, Yasuaki Kobayashi, Taiga Sone:
An optimal algorithm for Bisection for bounded-treewidth graphs. - Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain:
DROCC: Deep Robust One-Class Classification. - Syed Arshad Ali, Manzoor Ansari, Mansaf Alam:
Resource Management Techniques for Cloud-Based IoT Environment. - Michaël Ramamonjisoa, Yuming Du, Vincent Lepetit:
Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields. - Oleg Shipitko, Vladislav Kibalov, Maxim P. Abramov:
Linear Features Observation Model for Autonomous Vehicle Localization. - Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G. Cohn:
Human-like Planning for Reaching in Cluttered Environments. - Andrew D. Kercher, Andrew Corrigan, David A. Kessler:
The Moving Discontinuous Galerkin Finite Element Method with Interface Condition Enforcement for Compressible Viscous Flows. - Jian Li, Yong Liu, Weiping Wang:
Convolutional Spectral Kernel Learning. - Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. - Amar Isli:
A spatio-temporalisation of ALC(D) and its translation into alternating automata augmented with spatial constraints. - Mengshuo Jia, Yi Wang, Chen Shen, Gabriela Hug:
Privacy-Preserving Distributed Clustering for Electrical Load Profiling. - Walid R. Ghanem, Vahid Jamali, Robert Schober:
Resource Allocation for Secure Multi-User Downlink MISO-URLLC Systems. - Daniel Boley:
On Fast Computation of Directed Graph Laplacian Pseudo-Inverse. - Marc Toussaint, Jung-Su Ha, Danny Drieß:
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning. - Violetta Weger, Massimo Battaglioni, Paolo Santini, Anna-Lena Horlemann-Trautmann, Edoardo Persichetti:
On the Hardness of the Lee Syndrome Decoding Problem. - Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi:
Uncovering Insurance Fraud Conspiracy with Network Learning. - Mario Bravetti, Adrian Francalanza, Iaroslav Golovanov, Hans Hüttel, Mathias Jakobsen, Mikkel Kettunen, António Ravara:
Behavioural Types for Memory and Method Safety in a Core Object-Oriented Language. - Hongbin Zheng, Sejong Oh, Huiqing Wang, Preston Briggs, Jiading Gai, Animesh Jain, Yizhi Liu, Rich Heaton, Randy Huang, Yida Wang:
Optimizing Memory-Access Patterns for Deep Learning Accelerators. - Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. - Elias Jarlebring, Parikshit Upadhyaya:
Implicit algorithms for eigenvector nonlinearities. - Jatin Chauhan, Deepak Nathani, Manohar Kaul:
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures. - Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler:
Indoor Scene Recognition in 3D. - Philipp Frauenthaler, Marten Sigwart, Christof Spanring, Stefan Schulte:
Testimonium: A Cost-Efficient Blockchain Relay. - Songsong Ji, Gang Pang, Jiwei Zhang, Yibo Yang, Paris Perdikaris:
Exact artificial boundary conditions of 1D semi-discretized peridynamics. - Maxime Chupin, Mi-Song Dupuy, Guillaume Legendre, Éric Séré:
Convergence analysis of adaptive DIIS algorithms with application to electronic ground state calculations. - Sushant Veer, Anirudha Majumdar:
Probably Approximately Correct Vision-Based Planning using Motion Primitives. - Kevin Stowe, Leonardo F. R. Ribeiro, Iryna Gurevych:
Metaphoric Paraphrase Generation. - (Withdrawn) Two Player Hidden Pointer Chasing and Multi-Pass Lower Bounds in Turnstile Streams.
- Saiteja Utpala, Piyush Rai:
Quantile Regularization: Towards Implicit Calibration of Regression Models. - Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre:
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation. - Praneeth Narayanamurthy, Namrata Vaswani, Aditya Ramamoorthy:
Federated Over-the-Air Subspace Learning from Incomplete Data. - Alban Main de Boissiere, Rita Noumeir:
Infrared and 3D skeleton feature fusion for RGB-D action recognition. - Bingchen Liu, Kunpeng Song, Ahmed Elgammal:
Sketch-to-Art: Synthesizing Stylized Art Images From Sketches. - Meng Cao:
Galois hulls of MDS codes and their quantum error correction. - Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. - Paul Fergus, Carl Chalmers:
BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. - Beshr Al Nahas, Antonio Escobar-Molero, Jirka Klaue, Simon Duquennoy, Olaf Landsiedel:
BlueFlood: Concurrent Transmissions for Multi-Hop Bluetooth 5 - Modeling and Evaluation. - Laura Greige, Peter Chin:
Reinforcement Learning in FlipIt. - Krishna Reddy Kesari, Jean Honorio:
First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions. - Seung Ju Cho, Tae Joon Jun, Mingu Kang, Daeyoung Kim:
Applying Tensor Decomposition to image for Robustness against Adversarial Attack. - Jonathan Chamberlain, David Starobinski:
Social Welfare and Price of Anarchy in Preemptive Priority Queues. - Colin Wei, Sham M. Kakade, Tengyu Ma:
The Implicit and Explicit Regularization Effects of Dropout. - Farog Mohamed, Shailesh Wasti, Shahab Afshar, Pablo Macedo, Vahid Disfani:
MMC-Based Distributed Maximum Power Point Tracking for Photovoltaic Systems. - Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis on General Computational Graphs. - Juste Raimbault:
Cities as they could be: Artificial Life and Urban Systems. - Giovanni Paolo Crespi, Davide Radi, Matteo Rocca:
Insights on the Theory of Robust Games. - Zhenyu Meng, Kelin Xia:
Persistent spectral based machine learning (PerSpect ML) for drug design. - Matej Troják, David Safránek, Lubos Brim:
Executable Biochemical Space for Specification and Analysis of Biochemical Systems. - Attila Szabó, Claudio Castelnovo:
Neural network wave functions and the sign problem. - Bonan Yin, Mugen Peng, Shi Yan, Chunjing Hu:
Tradeoff between Ergodic Rate and Delivery Latency in Fog Radio Access Networks. - Muhammad Shahid Iqbal, Yalcin Sadi, Sinem Coleri:
Minimum Length Scheduling for Discrete-Rate Full-Duplex Wireless Powered Communication Networks. - Hanene Ben Yedder, Ben Cardoen, Ghassan Hamarneh:
Deep Learning for Biomedical Image Reconstruction: A Survey. - Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Robert Jenssen:
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. - Zafiirah Hosenie, Robert J. Lyon, Benjamin W. Stappers, Arrykrishna Mootoovaloo, Vanessa McBride:
Imbalance Learning for Variable Star Classification. - Saipraneeth Gouravaraju, Roger A. Sauer, Sachin Singh Gautam:
On the presence of a critical detachment angle in gecko spatula peeling - A numerical investigation using an adhesive friction model. - Amit Behera, Or Sattath:
Almost Public Quantum Coins. - Xavier Bonnetain, Akinori Hosoyamada, María Naya-Plasencia, Yu Sasaki, André Schrottenloher:
Quantum Attacks without Superposition Queries: the Offline Simon's Algorithm. - Roman Zapatrin:
Quantifying daseinisation using Shannon entropy. - Ennio Bilancini, Leonardo Boncinelli, Valerio Capraro, Tatiana Celadin, Roberto Di Paolo:
"Do the Right Thing" for Whom? An Experiment on Ingroup Favouritism, Group Assorting and Moral Suasion. - Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation. - Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain. - Shipu Zhao, Fengqi You:
Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs). - Michael Muehlebach, Michael I. Jordan:
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives. - Lin Lin, Yu Tong:
Near-optimal ground state preparation. - Licheng Xiao, Hairong Wang, Nam Ling:
Improved Image Coding Autoencoder With Deep Learning. - Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour:
Generalized Sliced Distances for Probability Distributions. - Ariel Jaffe, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
Spectral neighbor joining for reconstruction of latent tree models. - Jie Huang, Cheng-Xiang Wang, Lu Bai, Jian Sun, Yang Yang, Jie Li, Olav Tirkkonen, Ming-Tuo Zhou:
A Big Data Enabled Channel Model for 5G Wireless Communication Systems. - Yoichi Sasaki, Kosuke Akimoto, Takanori Maehara:
Learning Directly from Grammar Compressed Text. - Fahad Shamshad, Ali Ahmed:
Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior. - Mahsa Paknezhad, Sheng Yang Michael Loh, Yukti Choudhury, Valerie Koh Cui Koh, Timothy Tay Kwang Yong, Hui Shan Tan, Ravindran Kanesvaran, Puay Hoon Tan, John Yuen Shyi Peng, Weimiao Yu, Yongcheng Benjamin Tan, Yong Zhen Loy, Min-Han Tan, Hwee Kuan Lee:
Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts. - Aqsa Saeed Qureshi, Asifullah Khan, Muhammad Waleed Khan:
Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture. - Akihiro Yabe:
Causality and Robust Optimization. - Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk:
The Atrial Fibrillation Risk Score for Hyperthyroidism Patients. - Meyer Scetbon, Zaïd Harchaoui:
Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators. - Meysam Goodarzi, Darko Cvetkovski, Nebojsa Maletic, Jesús Gutiérrez, Eckhard Grass:
Synchronization in 5G: a Bayesian Approach. - Yifan Fan, Huiming Zhang, Ting Yan:
Asymptotic Theory for Differentially Private Generalized β-models with Parameters Increasing. - Chenbei Lu, Kui Wang, Chenye Wu:
Effective End-to-End Learning Framework for Economic Dispatch. - Gautam Krishna, Co Tran, Yan Han, Mason Carnahan:
Speech Synthesis using EEG. - Zhenyu Liu, Dongyu Wang, Lan Zhang, Bin Hu:
A Novel Decision Tree for Depression Recognition in Speech. - Qingjian Lin, Weicheng Cai, Lin Yang, Junjie Wang, Jun Zhang, Ming Li:
DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team. - Joel Shor, Aren Jansen, Ronnie Maor, Oran Lang, Omry Tuval, Felix de Chaumont Quitry, Marco Tagliasacchi, Ira Shavitt, Dotan Emanuel, Yinnon Haviv:
Towards Learning a Universal Non-Semantic Representation of Speech. - Sowmya Rasipuram, Junaid Hamid Bhat, Anutosh Maitra:
Multi-Modal Continuous Valence And Arousal Prediction in the Wild Using Deep 3D Features and Sequence Modeling. - Maciej Bendkowski, Olivier Bodini, Sergey Dovgal:
Tuning as convex optimisation: a polynomial tuner for multi-parametric combinatorial samplers. - Radu Grosu:
ResNets, NeuralODEs and CT-RNNs are Particular Neural Regulatory Networks. - Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang:
Deep Residual-Dense Lattice Network for Speech Enhancement. - Hossein Valavi, Sulin Liu, Peter J. Ramadge:
The Landscape of Matrix Factorization Revisited. - Alexandru Gheorghiu, Matty J. Hoban:
Estimating the entropy of shallow circuit outputs is hard. - Marco Podda, Davide Bacciu, Alessio Micheli:
A Deep Generative Model for Fragment-Based Molecule Generation. - Muhammad Hafidh Firmansyah, Anand Paul, Deblina Bhattacharya, Gul Malik Urfa:
A.I. based Embedded Speech to Text Using Deepspeech. - Brandon Ginley, Kuang-Yu Jen, Avi Z. Rosenberg, Felicia Yen, Sanjay Jain, Agnes B. Fogo, Pinaki Sarder:
Neural Network Segmentation of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis in Renal Biopsies. - Maseim Kenmoe, Matteo Smerlak, Anton Zadorin:
Dynamical perturbation theory for eigenvalue problems. - Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson:
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data. - Daiki Tamada:
Review: Noise and artifact reduction for MRI using deep learning. - Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, Fei Gao:
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting. - Seyedramin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong:
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency. - Michael Celentano, Andrea Montanari, Yuchen Wu:
The estimation error of general first order methods. - Peter Oswald:
Multivariate Haar systems in Besov function spaces. - Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Self-Tuning Deep Reinforcement Learning. - André L. Oestereich, Marcelo A. Pires, Silvio M. Duarte Queiros, Nuno Crokidakis:
Hysteresis and disorder-induced order in continuous kinetic-like opinion dynamics in complex networks. - Sai Tej Paruchuri, Jia Guo, Andrew J. Kurdila:
RKHS Embedding for Estimating Nonlinear Piezoelectric Systems. - Rupayan Chakraborty, Meghna Pandharipande, Chitralekha Bhat, Sunil Kumar Kopparapu:
Identification of Dementia Using Audio Biomarkers. - Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning:
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. - Tony A. Wood, Mitchell Khoo, Elad Michael, Chris Manzie, Iman Shames:
Collision Avoidance Based on Robust Lexicographic Task Assignment.
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