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
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• [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