cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AG - 代数几何 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.MN - 分子网络 q-bio.PE - 人口与发展 q-fin.PR - 证券定价 q-fin.ST - 统计金融学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
    • [cs.AI]Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data
    • [cs.CL]Balancing Training for Multilingual Neural Machine Translation
    • [cs.CL]Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation
    • [cs.CL]Cross-lingual Contextualized Topic Models with Zero-shot Learning
    • [cs.CL]Do sequence-to-sequence VAEs learn global features of sentences?
    • [cs.CL]Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation
    • [cs.CL]HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
    • [cs.CL]Kvistur 2.0: a BiLSTM Compound Splitter for Icelandic
    • [cs.CL]LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
    • [cs.CL]Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework
    • [cs.CL]Neural Data-to-Text Generation with Dynamic Content Planning
    • [cs.CL]Non-Autoregressive Machine Translation with Latent Alignments
    • [cs.CL]Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
    • [cs.CL]Paraphrase Augmented Task-Oriented Dialog Generation
    • [cs.CL]Pretrained Transformers Improve Out-of-Distribution Robustness
    • [cs.CL]Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks
    • [cs.CL]The Right Tool for the Job: Matching Model and Instance Complexities
    • [cs.CL]Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers
    • [cs.CL]TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
    • [cs.CR]COVID-19 Antibody Test Certification: There’s an app for that
    • [cs.CR]Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey
    • [cs.CR]Short Paper: Design and Evaluation of Privacy-preserved Supply Chain System based on Public Blockchain
    • [cs.CV]A Local Descriptor with Physiological Characteristic for Finger Vein Recognition
    • [cs.CV]An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers
    • [cs.CV]ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
    • [cs.CV]Asynchronous Interaction Aggregation for Action Detection
    • [cs.CV]Combinatorial 3D Shape Generation via Sequential Assembly
    • [cs.CV]DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance
    • [cs.CV]Fast Template Matching and Update for Video Object Tracking and Segmentation
    • [cs.CV]Gaze-Net: Appearance-Based Gaze Estimation using Capsule Networks
    • [cs.CV]Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images
    • [cs.CV]Image Quality Assessment: Unifying Structure and Texture Similarity
    • [cs.CV]In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos
    • [cs.CV]Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts
    • [cs.CV]Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges
    • [cs.CV]Knowledge Distillation for Action Anticipation via Label Smoothing
    • [cs.CV]Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection
    • [cs.CV]Local-Global Video-Text Interactions for Temporal Grounding
    • [cs.CV]Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic
    • [cs.CV]Multi-Object Tracking with Siamese Track-RCNN
    • [cs.CV]Multimodal and multiview distillation for real-time player detection on a football field
    • [cs.CV]Old is $\mathbf{\mathcal{G}^{old}}$: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
    • [cs.CV]On the use of Benford’s law to detect GAN-generated images
    • [cs.CV]PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks
    • [cs.CV]RGBD-Dog: Predicting Canine Pose from RGBD Sensors
    • [cs.CV]RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery
    • [cs.CV]SCOUT: Self-aware Discriminant Counterfactual Explanations
    • [cs.CV]SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking
    • [cs.CV]Shortcut Learning in Deep Neural Networks
    • [cs.CV]Single upper limb pose estimation method based on improved stacked hourglass network
    • [cs.CV]Spatially Attentive Output Layer for Image Classification
    • [cs.CV]Top-Down Networks: A coarse-to-fine reimagination of CNNs
    • [cs.CV]Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
    • [cs.CV]Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
    • [cs.CV]Video Face Manipulation Detection Through Ensemble of CNNs
    • [cs.CV]Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving
    • [cs.CY]ACDC-Tracing: Towards Anonymous Citizen-Driven Contact Tracing
    • [cs.CY]CO.ME.T.A. — covid-19 media textual analysis. A dashboard for media monitoring
    • [cs.CY]Digital Ariadne: Citizen Empowerment for Epidemic Control
    • [cs.CY]Open and Cultural Data Games for Learning
    • [cs.CY]Organisational Structure Patterns in Agile Teams: An Industrial Empirical Study
    • [cs.CY]The impact of Industry 4.0 technologies on production and supply chains
    • [cs.CY]Usable, Acceptable, Appropriable: Towards Practicable Privacy
    • [cs.DC]The Binary Vector Clock
    • [cs.DS]Algorithmic Foundations for the Diffraction Limit
    • [cs.DS]Locality Sensitive Hashing for Set-Queries, Motivated by Group Recommendations
    • [cs.GT]Resolving the Optimal Metric Distortion Conjecture
    • [cs.HC]Continuous Health Interface Event Retrieval
    • [cs.IR]Toward Efficient Web Publishing with Provenance of Information Using Trusty URIs: Applying the proposed model with the Quran
    • [cs.IT]Chaos-Based Multicarrier VLC Modulator With Compensation of LED Nonlinearity
    • [cs.IT]Joint User Pairing and Association for Multicell NOMA: A Pointer Network-based Approach
    • [cs.IT]Performance Analysis for Autonomous Vehicle 5G-Assisted Positioning in GNSS-Challenged Environments
    • [cs.IT]Scheduling for Mobile Edge Computing with Random User Arrivals: An Approximate MDP and Reinforcement Learning Approach
    • [cs.IT]Sliding Window Polar Codes
    • [cs.IT]Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs
    • [cs.IT]The Impact of 5G Channel Models on the Performance of Intelligent Reflecting Surfaces and Decode-and-Forward Relaying
    • [cs.L
    3890
    O]On Reductions of Hintikka Sets for Higher-Order Logic
    • [cs.LG]A Game Theoretic Framework for Model Based Reinforcement Learning
    • [cs.LG]A Hybrid Objective Function for Robustness of Artificial Neural Networks — Estimation of Parameters in a Mechanical System
    • [cs.LG]A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment
    • [cs.LG]Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
    • [cs.LG]Classification Representations Can be Reused for Downstream Generations
    • [cs.LG]Continual Learning with Extended Kronecker-factored Approximate Curvature
    • [cs.LG]Continual Reinforcement Learning with Multi-Timescale Replay
    • [cs.LG]Destination Prediction Based on Partial Trajectory Data
    • [cs.LG]Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data
    • [cs.LG]Explainable Image Classification with Evidence Counterfactual
    • [cs.LG]Geometry-Aware Gradient Algorithms for Neural Architecture Search
    • [cs.LG]Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs
    • [cs.LG]Hcore-Init: Neural Network Initialization based on Graph Degeneracy
    • [cs.LG]Investigating Efficient Learning and Compositionality in Generative LSTM Networks
    • [cs.LG]Machine-learning-based methods for output only structural modal identification
    • [cs.LG]Nonparallel Hyperplane Classifiers for Multi-category Classification
    • [cs.LG]On the Design of Communication Efficient Federated Learning over Wireless Networks
    • [cs.LG]OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation
    • [cs.LG]Poisoning Attacks on Algorithmic Fairness
    • [cs.LG]Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
    • [cs.LG]Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization
    • [cs.LG]There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
    • [cs.LG]Topological Descriptors for Parkinson’s Disease Classification and Regression Analysis
    • [cs.LG]Training with Quantization Noise for Extreme Fixed-Point Compression
    • [cs.LG]Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction
    • [cs.LO]Trakhtenbrot’s Theorem in Coq, A Constructive Approach to Finite Model Theory
    • [cs.NE]AMPSO: Artificial Multi-Swarm Particle Swarm Optimization
    • [cs.NE]Distributed Evolution of Deep Autoencoders
    • [cs.NI]Decoding Probability Analysis of Network-Coded Data Collection and Delivery by Relay Drones
    • [cs.PL]Deep Generation of Coq Lemma Names Using Elaborated Terms
    • [cs.RO]A Robot by Any Other Frame: Framing and Behaviour Influence Mind Perception in Virtual but not Real-World Environments
    • [cs.RO]A Study on the Challenges of Using Robotics Simulators for Testing
    • [cs.RO]Affordances in Robotic Tasks — A Survey
    • [cs.RO]Autonomous Cooperative Flight Control for Airship Swarms
    • [cs.RO]Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak
    • [cs.RO]MobiAxis: An Embodied Learning Task for Teaching Multiplication with a Social Robot
    • [cs.RO]Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation
    • [cs.RO]Neuromorphic Eye-in-Hand Visual Servoing
    • [cs.RO]Predictive Whole-Body Control of Humanoid Robot Locomotion
    • [cs.SE]Ownership at Large — Open Problems and Challenges in Ownership Management
    • [cs.SI]Connecting the Dots of COVID-19 Transmissions in India
    • [cs.SI]Sustainable Recipes. A Food Recipe Sourcing and Recommendation System to Minimize Food Miles
    • [eess.AS]F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder
    • [eess.IV]An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge
    • [eess.IV]Blur Aware Calibration of Multi-Focus Plenoptic Camera
    • [eess.IV]Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients
    • [eess.IV]Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks
    • [eess.IV]Representation Learning of Histopathology Images using Graph Neural Networks
    • [eess.SP]Coverage Analysis for 3D Terahertz Communication Systems with Blockage and Directional Antennas
    • [eess.SP]Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges
    • [eess.SP]Multi-Connectivity for Indoor Terahertz Communication with Self and Dynamic Blockage
    • [eess.SY]Data-Driven Robust Control Using Reinforcement Learning
    • [eess.SY]Gaussian Process Learning-based Probabilistic Optimal Power Flow
    • [eess.SY]Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
    • [eess.SY]Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?
    • [eess.SY]Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
    • [math.AG]Maximum likelihood degree and space of orbits of a ${\mathbb C}^*$ action
    • [math.OC]Automatic Generation of Algorithms for Black-Box Robust Optimisation Problems
    • [math.PR]Statistical inference for epidemic processes in a homogeneous community (Part IV of the book Stochastic Epidemic Models and Inference)
    • [math.PR]Stochastic epidemics in a heterogeneous community (Part III of the book Stochastic Epidemic Models and Inference)
    • [math.ST]A New Perspective on Dependence in High-Dimensional Functional/Scalar Time Series: Finite Sample Theory and Applications
    • [math.ST]Stability of doubly-intractable distributions
    • [math.ST]Tests for multivariate normality — a critical review with emphasis on weighted $L^2$-statistics
    • [q-bio.MN]Network-principled deep generative models for designing drug combinations as graph sets
    • [q-bio.PE]Rapidly evaluating lockdown strategies using spectral analysis: the cycles behind new daily COVID-19 cases and what happens after lockdown
    • [q-fin.PR]Machine learning for multiple yield curve markets: fast calibration in the Gaussian affine framework
    • [q-fin.ST]From code to market: Network of developers and correlated returns of cryptocurrencies
    • [stat.AP]Assessing the Significance of Model Selection in Ecology
    • [stat.AP]BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
    • [stat.AP]Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
    • [stat.AP]National mapping and estimation of forest area by dominant tree species using Sentinel-2 data
    • [stat.CO]Efficient Bernoulli factory MCMC for intractable likelihoods
    • [stat.ME]A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches
    • [stat.ME]A Practical Response Adaptive Block Randomization Design with Analytic Type I Error Protection
    • [stat.ME]Estimation Methods for Item Factor Analysis: An Overview
    • [stat.ME]Exactly computing the tail of the Poisson-Binomial Distribution
    • [stat.ME]Functional SAC model: With application to spatial econometrics
    • [stat.ME]Notes on the interpretation of dependence measures
    • [stat.ML]Exploiting Categorical Structure Using Tree-Based Methods
    • [stat.ML]Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs
    • [stat.ML]Really Useful Synthetic Data — A Framework to Evaluate the Quality of Differentially Private Synthetic Data

    ·····································

    • [cs.AI]A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
    Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer, Alvaro Rodrigo, Dirk von Grünigen, Nicolas Kaiser, Kurt Stockinger, Eneko Agirre, Mark Cieliebak
    http://arxiv.org/abs/2004.07633v1

    • [cs.AI]Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data
    Deepak Singh, Dilip Singh Sisodia, Pradeep Singh
    http://arxiv.org/abs/2004.07478v1

    • [cs.CL]Balancing Training for Multilingual Neural Machine Translation
    Xinyi Wang, Yulia Tsvetkov, Graham Neubig
    http://arxiv.org/abs/2004.06748v2

    • [cs.CL]Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation
    Idriss Mghabbar, Pirashanth Ratnamogan
    http://arxiv.org/abs/2004.07324v1

    • [cs.CL]Cross-lingual Contextualized Topic Models with Zero-shot Learning
    Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini
    http://arxiv.org/abs/2004.07737v1

    • [cs.CL]Do sequence-to-sequence VAEs learn global features of sentences?
    Tom Bosc, Pascal Vincent
    http://arxiv.org/abs/2004.07683v1

    • [cs.CL]Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation
    Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu, Ting Liu
    http://arxiv.org/abs/2004.07672v1

    • [cs.CL]HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
    Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Wang
    http://arxiv.org/abs/2004.07347v1

    • [cs.CL]Kvistur 2.0: a BiLSTM Compound Splitter for Icelandic
    Jón Friðrik Daðason, David Erik Mollberg, Hrafn Loftsson, Kristín Bjarnadóttir
    http://arxiv.org/abs/2004.07776v1

    • [cs.CL]LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
    Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
    http://arxiv.org/abs/2004.07499v1

    • [cs.CL]Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework
    Jiehang Zeng, Lu Liu, Xiaoqing Zheng
    http://arxiv.org/abs/2004.07265v1

    • [cs.CL]Neural Data-to-Text Generation with Dynamic Content Planning
    Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Yajuan Lv, Yong Zhu, Hong Yu
    http://arxiv.org/abs/2004.07426v1

    • [cs.CL]Non-Autoregressive Machine Translation with Latent Alignments
    Chitwan Saharia, William Chan, Saurabh Saxena, Mohammad Norouzi
    http://arxiv.org/abs/2004.07437v1

    • [cs.CL]Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
    Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg
    http://arxiv.org/abs/2004.07667v1

    • [cs.CL]Paraphrase Augmented Task-Oriented Dialog Generation
    Silin Gao, Yichi Zhang, Zhijian Ou, Zhou Yu
    http://arxiv.org/abs/2004.07462v1

    • [cs.CL]Pretrained Transformers Improve Out-of-Distribution Robustness
    Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song
    http://arxiv.org/abs/2004.06100v2

    • [cs.CL]Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks
    Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria
    http://arxiv.org/abs/2004.07601v1

    • [cs.CL]The Right Tool for the Job: Matching Model and Instance Complexities
    Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
    http://arxiv.org/abs/2004.07453v1

    • [cs.CL]Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers
    Robert Litschko, Ivan Vulić, Željko Agić, Goran Glavaš
    http://arxiv.org/abs/2004.07642v1

    • [cs.CL]TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
    Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren
    http://arxiv.org/abs/2004.07493v1

    • [cs.CR]COVID-19 Antibody Test Certification: There’s an app for that
    Marc Eisenstadt, Manoharan Ramachandran, Niaz Chowdhury, Allan Third, John Domingue
    http://arxiv.org/abs/2004.07376v1

    • [cs.CR]Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey
    Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
    http://arxiv.org/abs/2004.07678v1

    • [cs.CR]Short Paper: Design and Evaluation of Privacy-preserved Supply Chain System based on Public Blockchain
    Takio Uesugi, Yoshinobu Shijo, Masayuki Murata
    http://arxiv.org/abs/2004.07606v1

    • [cs.CV]A Local Descriptor with Physiological Characteristic for Finger Vein Recognition
    Liping Zhang, Weijun Li, Xin Ning
    http://arxiv.org/abs/2004.07489v1

    • [cs.CV]An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers
    Bernhard Liebl, Manuel Burghardt
    http://arxiv.org/abs/2004.07317v1

    • [cs.CV]ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
    Fatemeh Saleh, Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould
    http://arxiv.org/abs/2004.07482v1

    • [cs.CV]Asynchronous Interaction Aggregation for Action Detection
    Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu
    http://arxiv.org/abs/2004.07485v1

    • [cs.CV]Combinatorial 3D Shape Generation via Sequential Assembly
    Jungtaek Kim, Hyunsoo Chung, Minsu Cho, Jaesik Park
    http://arxiv.org/abs/2004.07414v1

    • [cs.CV]DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance
    Ruben Tolosana, Sergio Romero-Tapiador, Julian Fierrez, Ruben Vera-Rodriguez
    http://arxiv.org/abs/2004.07532v1

    • [cs.CV]Fast Template Matching and Update for Video Object Tracking and Segmentation
    Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao
    http://arxiv.org/abs/2004.07538v1

    • [cs.CV]Gaze-Net: Appearance-Based Gaze Estimation using Capsule Networks
    Bhanuka Mahanama, Yasith Jayawardana, Sampath Jayarathna
    http://arxiv.org/abs/2004.07777v1

    • [cs.CV]Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images
    Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu
    http://arxiv.org/abs/2004.07394v1

    • [cs.CV]Image Quality Assessment: Unifying Structure and Texture Similarity
    Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
    http://arxiv.org/abs/2004.07728v1

    • [cs.CV]In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos
    Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu
    http://arxiv.org/abs/2004.07691v1

    • [cs.CV]Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts
    Mingmin Zhen, Jinglu Wang, Lei Zhou, Shiwei Li, Tianwei Shen, Jiaxiang Shang, Tian Fang, Quan Long
    http://arxiv.org/abs/2004.07684v1

    • [cs.CV]Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges
    Antonio Alliegro, Davide Boscaini, Tatiana Tommasi
    http://arxiv.org/abs/2004.07392v1

    • [cs.CV]Knowledge Distillation for Action Anticipation via Label Smoothing
    Guglielmo Camporese, Pasquale Coscia, Antonino Furnari, Giovanni Maria Farinella, Lamberto Ballan
    http://arxiv.org/abs/2004.07711v1

    • [cs.CV]Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection
    Fa-Ting Hong, Wei-Hong Li, Wei-Shi Zheng
    http://arxiv.org/abs/2004.07568v1

    • [cs.CV]Local-Global Video-Text Interactions for Temporal Grounding
    Jonghwan Mun, Minsu Cho, Bohyung Han
    http://arxiv.org/abs/2004.07514v1

    • [cs.CV]Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic
    Rodrigo Minetto, Mauricio Pamplona Segundo, Gilbert Rotich, Sudeep Sarkar
    http://arxiv.org/abs/2004.07438v1

    • [cs.CV]Multi-Object Tracking with Siamese Track-RCNN
    Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe
    http://arxiv.org/abs/2004.07786v1

    • [cs.CV]Multimodal and multiview distillation for real-time player detection on a football field
    Anthony Cioppa, Adrien Deliège, Noor Ul Huda, Rikke Gade, Marc Van Droogenbroeck, Thomas B. Moeslund
    http://arxiv.org/abs/2004.07544v1

    • [cs.CV]Old is $\mathbf{\mathcal{G}^{old}}$: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
    Muhammad Zaigham Zaheer, Jin-ha Lee, Marcella Astrid, Seung-Ik Lee
    http://arxiv.org/abs/2004.07657v1

    • [cs.CV]On the use of Benford’s law to detect GAN-generated images
    Nicolò Bonettini, Paolo Bestagini, Simone Milani, Stefano Tubaro
    http://arxiv.org/abs/2004.07682v1

    • [cs.CV]PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks
    Wenwen Yu, Ning Lu, Xianbiao Qi, Ping Gong, Rong Xiao
    http://arxiv.org/abs/2004.07464v1

    • [cs.CV]RGBD-Dog: Predicting Canine Pose from RGBD Sensors
    Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker
    http://arxiv.org/abs/2004.07788v1

    • [cs.CV]RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery
    Rohit Gupta, Mubarak Shah
    http://arxiv.org/abs/2004.07312v1

    • [cs.CV]SCOUT: Self-aware Discriminant Counterfactual Explanations
    Pei Wang, Nuno Vasconcelos
    http://arxiv.org/abs/2004.07769v1

    • [cs.CV]SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking
    Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen, Jianan Wu
    http://arxiv.org/abs/2004.07472v1

    • [cs.CV]Shortcut Learning in Deep Neural Networks
    Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann
    http://arxiv.org/abs/2004.07780v1

    • [cs.CV]Single upper limb pose estimation method based on improved stacked hourglass network
    Gang Peng, Yuezhi Zheng, Jianfeng Li, Jin Yang, Zhonghua Deng
    http://arxiv.org/abs/2004.07456v1

    • [cs.CV]Spatially Attentive Output Layer for Image Classification
    Ildoo Kim, Woonhyuk Baek, Sungwoong Kim
    http://arxiv.org/abs/2004.07570v1

    • [cs.CV]Top-Down Networks: A coarse-to-fine reimagination of CNNs
    Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
    http://arxiv.org/abs/2004.07629v1

    • [cs.CV]Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
    Yujia Zhou, Shumao Pang, Jun Cheng, Yuhang Sun, Yi Wu, Lei Zhao, Yaqin Liu, Zhentai Lu, Wei Yang, Qianjin Feng
    http://arxiv.org/abs/2004.07624v1

    • [cs.CV]Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
    Fei Pan, Inkyu Shin, Francois Rameau, Seokju Lee, In So Kweon
    http://arxiv.org/abs/2004.07703v1

    • [cs.CV]Video Face Manipulation Detection Through Ensemble of CNNs
    Nicolò Bonettini, Edoardo Daniele Cannas, Sara Mandelli, Luca Bondi, Paolo Bestagini, Stefano Tubaro
    http://arxiv.org/abs/2004.07676v1

    • [cs.CV]Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving
    Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm
    http://arxiv.org/abs/2004.07639v1

    • [cs.CY]ACDC-Tracing: Towards Anonymous Citizen-Driven Contact Tracing
    Kristof Roomp, Nuria Oliver
    http://arxiv.org/abs/2004.07463v1

    • [cs.CY]CO.ME.T.A. — covid-19 media textual analysis. A dashboard for media monitoring
    Emma Zavarrone, Maria Gabriella Grassia, Marina Marino, Rasanna Cataldo, Rocco Mazza, Nicola Canestrari
    http://arxiv.org/abs/2004.07742v1

    • [cs.CY]Digital Ariadne: Citizen Empowerment for Epidemic Control
    Lorenz Cuno Klopfenstein, Saverio Delpriori, Gian Marco Di Francesco, Riccardo Maldini, Brendan Dominic Paolini, Alessandro Bogliolo
    http://arxiv.org/abs/2004.07717v1

    • [cs.CY]Open and Cultural Data Games for Learning
    Domna Chiotaki, Kostas Karpouzis
    http://arxiv.org/abs/2004.07521v1

    • [cs.CY]Organisational Structure Patterns in Agile Teams: An Industrial Empirical Study
    Damian A. Tamburri, Rick Kazman, Hamed Fahimi
    http://arxiv.org/abs/2004.07509v1

    • [cs.CY]The impact of Industry 4.0 technologies on production and supply chains
    Davood Qorbani, Stefan Groesser
    http://arxiv.org/abs/2004.06983v1

    • [cs.CY]Usable, Acceptable, Appropriable: Towards Practicable Privacy
    Aakash Gautam
    http://arxiv.org/abs/2004.07359v1

    • [cs.DC]The Binary Vector Clock
    Lum Ramabaja
    http://arxiv.org/abs/2004.07087v2

    • [cs.DS]Algorithmic Foundations for the Diffraction Limit
    Sitan Chen, Ankur Moitra
    http://arxiv.org/abs/2004.07659v1

    • [cs.DS]Locality Sensitive Hashing for Set-Queries, Motivated by Group Recommendations
    Haim Kaplan, Jay Tenenbaum
    http://arxiv.org/abs/2004.07286v1

    • [cs.GT]Resolving the Optimal Metric Distortion Conjecture
    Vasilis Gkatzelis, Daniel Halpern, Nisarg Shah
    http://arxiv.org/abs/2004.07447v1

    • [cs.HC]Continuous Health Interface Event Retrieval
    Vaibhav Pandey, Nitish Nag, Ramesh Jain
    http://arxiv.org/abs/2004.07716v1

    • [cs.IR]Toward Efficient Web Publishing with Provenance of Information Using Trusty URIs: Applying the proposed model with the Quran
    Khalid S. Aloufi, Abdulrahman A. Alsewari
    http://arxiv.org/abs/2004.07609v1

    • [cs.IT]Chaos-Based Multicarrier VLC Modulator With Compensation of LED Nonlinearity
    Francisco J. Escribano, José Sáez-Landete, Alexandre Wagemakers
    http://arxiv.org/abs/2004.07653v1

    • [cs.IT]Joint User Pairing and Association for Multicell NOMA: A Pointer Network-based Approach
    Manyou Ma, Vincent W. S. Wong
    http://arxiv.org/abs/2004.07395v1

    • [cs.IT]Performance Analysis for Autonomous Vehicle 5G-Assisted Positioning in GNSS-Challenged Environments
    Zohair Abu-Shaban, Gonzalo Seco-Granados, Craig R. Benson, Henk Wymeersch
    http://arxiv.org/abs/2004.07380v1

    • [cs.IT]Scheduling for Mobile Edge Computing with Random User Arrivals: An Approximate MDP and Reinforcement Learning Approach
    Shanfeng Huang, Bojie Lv, Rui Wang, Kaibin Huang
    http://arxiv.org/abs/2004.07553v1

    • [cs.IT]Sliding Window Polar Codes
    Valerio Bioglio, Carlo Condo
    http://arxiv.org/abs/2004.07767v1

    • [cs.IT]Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs
    Peihao Dong, Hua Zhang, Qihui Wu, Geoffrey Ye Li
    http://arxiv.org/abs/2004.07563v1

    • [cs.IT]The Impact of 5G Channel Models on the Performance of Intelligent Reflecting Surfaces and Decode-and-Forward Relaying
    Ioannis Chatzigeorgiou
    http://arxiv.org/abs/2004.07753v1

    • [cs.L
    3890
    O]On Reductions of Hintikka Sets for Higher-Order Logic
    Alexander Steen, Christoph Benzmüller
    http://arxiv.org/abs/2004.07506v1

    • [cs.LG]A Game Theoretic Framework for Model Based Reinforcement Learning
    Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
    http://arxiv.org/abs/2004.07804v1

    • [cs.LG]A Hybrid Objective Function for Robustness of Artificial Neural Networks — Estimation of Parameters in a Mechanical System
    Jan Sokolowski, Volker Schulz, Udo Schröder, Hans-Peter Beise
    http://arxiv.org/abs/2004.07692v1

    • [cs.LG]A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment
    Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
    http://arxiv.org/abs/2004.07641v1

    • [cs.LG]Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
    Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
    http://arxiv.org/abs/2004.07707v1

    • [cs.LG]Classification Representations Can be Reused for Downstream Generations
    Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, ArulMurugan Ambikapathi
    http://arxiv.org/abs/2004.07543v1

    • [cs.LG]Continual Learning with Extended Kronecker-factored Approximate Curvature
    Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim
    http://arxiv.org/abs/2004.07507v1

    • [cs.LG]Continual Reinforcement Learning with Multi-Timescale Replay
    Christos Kaplanis, Claudia Clopath, Murray Shanahan
    http://arxiv.org/abs/2004.07530v1

    • [cs.LG]Destination Prediction Based on Partial Trajectory Data
    Patrick Ebel, Ibrahim Emre Göl, Christoph Lingenfelder, Andreas Vogelsang
    http://arxiv.org/abs/2004.07473v1

    • [cs.LG]Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data
    Anil Goyal, Jihed Khiari
    http://arxiv.org/abs/2004.07605v1

    • [cs.LG]Explainable Image Classification with Evidence Counterfactual
    Tom Vermeire, David Martens
    http://arxiv.org/abs/2004.07511v1

    • [cs.LG]Geometry-Aware Gradient Algorithms for Neural Architecture Search
    Liam Li, Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar
    http://arxiv.org/abs/2004.07802v1

    • [cs.LG]Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs
    Yaoxin Li, Jing Liu, Guozheng Lin, Yueyuan Hou, Muyun Mou, Jiang Zhang
    http://arxiv.org/abs/2004.07300v1

    • [cs.LG]Hcore-Init: Neural Network Initialization based on Graph Degeneracy
    Stratis Limnios, George Dasoulas, Dimitrios M. Thilikos, Michalis Vazirgiannis
    http://arxiv.org/abs/2004.07636v1

    • [cs.LG]Investigating Efficient Learning and Compositionality in Generative LSTM Networks
    Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
    http://arxiv.org/abs/2004.07754v1

    • [cs.LG]Machine-learning-based methods for output only structural modal identification
    Yuequan Bao, Dawei Liu, Zhiyi Tang, Hui Li
    http://arxiv.org/abs/2004.07644v1

    • [cs.LG]Nonparallel Hyperplane Classifiers for Multi-category Classification
    Pooja Saigal, Reshma Khemchandani
    http://arxiv.org/abs/2004.07512v1

    • [cs.LG]On the Design of Communication Efficient Federated Learning over Wireless Networks
    Richeng Jin, Xiaofan He, Huaiyu Dai
    http://arxiv.org/abs/2004.07351v1

    • [cs.LG]OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation
    Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
    http://arxiv.org/abs/2004.07534v1

    • [cs.LG]Poisoning Attacks on Algorithmic Fairness
    David Solans, Battista Biggio, Carlos Castillo
    http://arxiv.org/abs/2004.07401v1

    • [cs.LG]Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
    Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
    http://arxiv.org/abs/2004.07333v1

    • [cs.LG]Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization
    Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
    http://arxiv.org/abs/2004.07715v1

    • [cs.LG]There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
    Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
    http://arxiv.org/abs/2004.07790v1

    • [cs.LG]Topological Descriptors for Parkinson’s Disease Classification and Regression Analysis
    Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan Turaga
    http://arxiv.org/abs/2004.07384v1

    • [cs.LG]Training with Quantization Noise for Extreme Fixed-Point Compression
    Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Remi Gribonval, Herve Jegou, Armand Joulin
    http://arxiv.org/abs/2004.07320v1

    • [cs.LG]Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction
    Yuanfei Dai, Chenhao Guo, Wenzhong Guo, Carsten Eickhoff
    http://arxiv.org/abs/2004.07341v1

    • [cs.LO]Trakhtenbrot’s Theorem in Coq, A Constructive Approach to Finite Model Theory
    Dominik Kirst, Dominique Larchey-Wendling
    http://arxiv.org/abs/2004.07390v1

    • [cs.NE]AMPSO: Artificial Multi-Swarm Particle Swarm Optimization
    Haohao Zhou, Xiangzhi Wei
    http://arxiv.org/abs/2004.07561v1

    • [cs.NE]Distributed Evolution of Deep Autoencoders
    Jeff Hajewski, Suely Oliveira, Xiaoyu Xing
    http://arxiv.org/abs/2004.07607v1

    • [cs.NI]Decoding Probability Analysis of Network-Coded Data Collection and Delivery by Relay Drones
    Ioannis Chatzigeorgiou, Elena Manole
    http://arxiv.org/abs/2004.07760v1

    • [cs.PL]Deep Generation of Coq Lemma Names Using Elaborated Terms
    Pengyu Nie, Karl Palmskog, Junyi Jessy Li, Milos Gligoric
    http://arxiv.org/abs/2004.07761v1

    • [cs.RO]A Robot by Any Other Frame: Framing and Behaviour Influence Mind Perception in Virtual but not Real-World Environments
    Sebastian Wallkotter, Rebecca Stower, Arvid Kappas, Ginevra Castellano
    http://arxiv.org/abs/2004.07594v1

    • [cs.RO]A Study on the Challenges of Using Robotics Simulators for Testing
    Afsoon Afzal, Deborah S. Katz, Claire Le Goues, Christopher S. Timperley
    http://arxiv.org/abs/2004.07368v1

    • [cs.RO]Affordances in Robotic Tasks — A Survey
    Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ronald P. A. Petrick
    http://arxiv.org/abs/2004.07400v1

    • [cs.RO]Autonomous Cooperative Flight Control for Airship Swarms
    Pedro G. Artaxo, Auguste Bourgois, Hugo Sardinha, Henrique Vieira, Ely Carneiro de Paiva, Andre R. Fioravanti, Patricia A. Vargas
    http://arxiv.org/abs/2004.07665v1

    • [cs.RO]Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak
    Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu
    http://arxiv.org/abs/2004.07480v1

    • [cs.RO]MobiAxis: An Embodied Learning Task for Teaching Multiplication with a Social Robot
    Karen Tatarian, Sebastian Wallkotter, Sera Buyukgoz, Rebecca Stower, Mohamed Chetouani
    http://arxiv.org/abs/2004.07806v1

    • [cs.RO]Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation
    Rajkumar Muthusamy, Xiaoqian Huang, Yahya Zweiri, Lakmal Seneviratne, Dongming Gan
    http://arxiv.org/abs/2004.07386v1

    • [cs.RO]Neuromorphic Eye-in-Hand Visual Servoing
    Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani, Yahya Zweiri, Dongming Gan, Lakmal Seneviratne
    http://arxiv.org/abs/2004.07398v1

    • [cs.RO]Predictive Whole-Body Control of Humanoid Robot Locomotion
    Stefano Dafarra
    http://arxiv.org/abs/2004.07699v1

    • [cs.SE]Ownership at Large — Open Problems and Challenges in Ownership Management
    John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Shan He, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers
    http://arxiv.org/abs/2004.07352v1

    • [cs.SI]Connecting the Dots of COVID-19 Transmissions in India
    Roshan Singh, Pranav Kumar Singh
    http://arxiv.org/abs/2004.07610v1

    • [cs.SI]Sustainable Recipes. A Food Recipe Sourcing and Recommendation System to Minimize Food Miles
    Juan C. S. Herrera
    http://arxiv.org/abs/2004.07454v1

    • [eess.AS]F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder
    Kaizhi Qian, Zeyu Jin, Mark Hasegawa-Johnson, Gautham J. Mysore
    http://arxiv.org/abs/2004.07370v1

    • [eess.IV]An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge
    Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Elwin de Weerdt, Marius Staring
    http://arxiv.org/abs/2004.07339v1

    • [eess.IV]Blur Aware Calibration of Multi-Focus Plenoptic Camera
    Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider
    http://arxiv.org/abs/2004.07745v1

    • [eess.IV]Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients
    Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
    http://arxiv.org/abs/2004.07443v1

    • [eess.IV]Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks
    Aryan Mobiny, Pietro Antonio Cicalese, Samira Zare, Pengyu Yuan, Mohammadsajad Abavisani, Carol C. Wu, Jitesh Ahuja, Patricia M. de Groot, Hien Van Nguyen
    http://arxiv.org/abs/2004.07407v1

    • [eess.IV]Representation Learning of Histopathology Images using Graph Neural Networks
    Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh
    http://arxiv.org/abs/2004.07399v1

    • [eess.SP]Coverage Analysis for 3D Terahertz Communication Systems with Blockage and Directional Antennas
    Akram Shafie, Nan Yang, Zhuo Sun, Salman Durrani
    http://arxiv.org/abs/2004.07466v1

    • [eess.SP]Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges
    Alaa Awad Abdellatif, Amr Mohamed, Carla Fabiana Chiasserini, Mounira Tlili, Aiman Erbad
    http://arxiv.org/abs/2004.07311v1

    • [eess.SP]Multi-Connectivity for Indoor Terahertz Communication with Self and Dynamic Blockage
    Akram Shafie, Nan Yang, Chong Han
    http://arxiv.org/abs/2004.07469v1

    • [eess.SY]Data-Driven Robust Control Using Reinforcement Learning
    Phuong D. Ngo, Fred Godtliebsen
    http://arxiv.org/abs/2004.07690v1

    • [eess.SY]Gaussian Process Learning-based Probabilistic Optimal Power Flow
    Parikshit Pareek, Hung D. Nguyen
    http://arxiv.org/abs/2004.07757v1

    • [eess.SY]Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
    Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, S. Shankar Sastry, Claire J. Tomlin, Koushil Sreenath
    http://arxiv.org/abs/2004.07276v1

    • [eess.SY]Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?
    Ali Ahmad Malik, Tariq Masood, Rehana Kousar
    http://arxiv.org/abs/2004.07360v1

    • [eess.SY]Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
    Jason Choi, Fernando Castañeda, Claire J. Tomlin, Koushil Sreenath
    http://arxiv.org/abs/2004.07584v1

    • [math.AG]**Maximum likelihood degree and space of orbits of a ${\mathbb C}^$ action
    Mateusz Michałek, Leonid Monin, Jarosław Wiśniewski
    http://arxiv.org/abs/2004.07735v1

    • [math.OC]Automatic Generation of Algorithms for Black-Box Robust Optimisation Problems
    Martin Hughes, Marc Goerigk, Trivikram Dokka
    http://arxiv.org/abs/2004.07294v1

    • [math.PR]Statistical inference for epidemic processes in a homogeneous community (Part IV of the book Stochastic Epidemic Models and Inference)
    Catherine Larédo, Viet Chi Tran
    http://arxiv.org/abs/2004.07688v1

    • [math.PR]Stochastic epidemics in a heterogeneous community (Part III of the book Stochastic Epidemic Models and Inference)
    Viet Chi Tran
    http://arxiv.org/abs/2004.07674v1

    • [math.ST]A New Perspective on Dependence in High-Dimensional Functional/Scalar Time Series: Finite Sample Theory and Applications
    Qin Fang, Shaojun Guo, Xinghao Qiao
    http://arxiv.org/abs/2004.07781v1

    • [math.ST]Stability of doubly-intractable distributions
    Michael Habeck, Daniel Rudolf, Björn Sprungk
    http://arxiv.org/abs/2004.07310v1

    • [math.ST]Tests for multivariate normality — a critical review with emphasis on weighted $L^2$-statistics
    Bruno Ebner, Norbert Henze
    http://arxiv.org/abs/2004.07332v1

    • [q-bio.MN]Network-principled deep generative models for designing drug combinations as graph sets
    Mostafa Karimi, Arman Hasanzadeh, Yang shen
    http://arxiv.org/abs/2004.07782v1

    • [q-bio.PE]Rapidly evaluating lockdown strategies using spectral analysis: the cycles behind new daily COVID-19 cases and what happens after lockdown
    Guy P. Nason
    http://arxiv.org/abs/2004.07696v1

    • [q-fin.PR]Machine learning for multiple yield curve markets: fast calibration in the Gaussian affine framework
    Sandrine Gümbel, Thorsten Schmidt
    http://arxiv.org/abs/2004.07736v1

    • [q-fin.ST]From code to market: Network of developers and correlated returns of cryptocurrencies
    Lorenzo Lucchini, Laura Alessandretti, Bruno Lepri, Angela Gallo, Andrea Baronchelli
    http://arxiv.org/abs/2004.07290v1

    • [stat.AP]Assessing the Significance of Model Selection in Ecology
    Edward Wheatcroft
    http://arxiv.org/abs/2004.07583v1

    • [stat.AP]BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
    Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado
    http://arxiv.org/abs/2004.07743v1

    • [stat.AP]Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
    Katrin Madjar, Manuela Zucknick, Katja Ickstadt, Jörg Rahnenführer
    http://arxiv.org/abs/2004.07542v1

    • [stat.AP]National mapping and estimation of forest area by dominant tree species using Sentinel-2 data
    Johannes Breidenbach, Lars T. Waser, Misganu Debella-Gilo, Johannes Schumacher, Johannes Rahlf, Marius Hauglin, Stefano Puliti, Rasmus Astrup
    http://arxiv.org/abs/2004.07503v1

    • [stat.CO]Efficient Bernoulli factory MCMC for intractable likelihoods
    Dootika Vats, Flávio Gonçalves, Krzysztof Łatuszyński, Gareth O. Roberts
    http://arxiv.org/abs/2004.07471v1

    • [stat.ME]A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches
    Arman Oganisian, Jason A. Roy
    http://arxiv.org/abs/2004.07375v1

    • [stat.ME]A Practical Response Adaptive Block Randomization Design with Analytic Type I Error Protection
    Tianyu Zhan, Lu Cui, Ziqian Geng, Lanju Zhang, Yihua Gu, Ivan S. F. Chan
    http://arxiv.org/abs/2004.07356v1

    • [stat.ME]Estimation Methods for Item Factor Analysis: An Overview
    Yunxiao Chen, Siliang Zhang
    http://arxiv.org/abs/2004.07579v1

    • [stat.ME]Exactly computing the tail of the Poisson-Binomial Distribution
    Noah Peres, Andrew Lee, Uri Keich
    http://arxiv.org/abs/2004.07429v1

    • [stat.ME]Functional SAC model: With application to spatial econometrics
    Alassane Aw, Emmanuel Nicolas Cabral
    http://arxiv.org/abs/2004.07725v1

    • [stat.ME]Notes on the interpretation of dependence measures
    Björn Böttcher
    http://arxiv.org/abs/2004.07649v1

    • [stat.ML]Exploiting Categorical Structure Using Tree-Based Methods
    Brian Lucena
    http://arxiv.org/abs/2004.07383v1

    • [stat.ML]Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs
    Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E. Priebe
    http://arxiv.org/abs/2004.07348v1

    • [stat.ML]Really Useful Synthetic Data — A Framework to Evaluate the Quality of Differentially Private Synthetic Data
    Christian Arnold, Marcel Neunhoeffer
    http://arxiv.org/abs/2004.07740v1