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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 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.SC - 符号计算 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.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 nlin.AO - 适应和自组织系统 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 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]Action Space Shaping in Deep Reinforcement Learning
    • [cs.AI]An anytime tree search algorithm for the 2018 ROADEF/EURO challenge glass cutting problem
    • [cs.AI]Benchmarking End-to-End Behavioural Cloning on Video Games
    • [cs.AI]Bias in Machine Learning What is it Good (and Bad) for?
    • [cs.AI]Improving Confidence in the Estimation of Values and Norms
    • [cs.AI]Improving the Utility of Knowledge Graph Embeddings with Calibration
    • [cs.AI]Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning
    • [cs.AI]Mimicking Evolution with Reinforcement Learning
    • [cs.AI]Personal Health Knowledge Graphs for Patients
    • [cs.AI]Software Language Comprehension using a Program-Derived Semantic Graph
    • [cs.CL]Causal Inference of Script Knowledge
    • [cs.CL]Give your Text Representation Models some Love: the Case for Basque
    • [cs.CL]How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context
    • [cs.CL]Igbo-English Machine Translation: An Evaluation Benchmark
    • [cs.CL]Mapping Languages and Demographics with Georeferenced Corpora
    • [cs.CL]Mapping Languages: The Corpus of Global Language Use
    • [cs.CL]NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts
    • [cs.CL]Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies
    • [cs.CR]Topological Properties of Multi-Party Blockchain Transactions
    • [cs.CV]Adversarial Learning for Personalized Tag Recommendation
    • [cs.CV]Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
    • [cs.CV]An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
    • [cs.CV]Articulation-aware Canonical Surface Mapping
    • [cs.CV]BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation
    • [cs.CV]Background Matting: The World is Your Green Screen
    • [cs.CV]Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
    • [cs.CV]Boosting Deep Hyperspectral Image Classification with Spectral Unmixing
    • [cs.CV]Consistent Multiple Sequence Decoding
    • [cs.CV]Controllable Orthogonalization in Training DNNs
    • [cs.CV]DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
    • [cs.CV]DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
    • [cs.CV]Effect of Annotation Errors on Drone Detection with YOLOv3
    • [cs.CV]Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition
    • [cs.CV]Generalized Zero-Shot Learning Via Over-Complete Distribution
    • [cs.CV]Graph-based fusion for change detection in multi-spectral images
    • [cs.CV]Improving 3D Object Detection through Progressive Population Based Augmentation
    • [cs.CV]Learning Longterm Representations for Person Re-Identification Using Radio Signals
    • [cs.CV]Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
    • [cs.CV]Learning to See Through Obstructions
    • [cs.CV]Learning to Segment the Tail
    • [cs.CV]MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model
    • [cs.CV]Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios
    • [cs.CV]Memory-Efficient Incremental Learning Through Feature Adaptation
    • [cs.CV]Model-based disentanglement of lens occlusions
    • [cs.CV]Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
    • [cs.CV]Objects of violence: synthetic data for practical ML in human rights investigations
    • [cs.CV]Occlusion-Aware Depth Estimation with Adaptive Normal Constraints
    • [cs.CV]PaStaNet: Toward Human Activity Knowledge Engine
    • [cs.CV]Physically Realizable Adversarial Examples for LiDAR Object Detection
    • [cs.CV]Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
    • [cs.CV]ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
    • [cs.CV]Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
    • [cs.CV]Robust Single Rotation Averaging
    • [cs.CV]Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization
    • [cs.CV]SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience
    • [cs.CV]Scene-Adaptive Video Frame Interpolation via Meta-Learning
    • [cs.CV]Synchronizing Probability Measures on Rotations via Optimal Transport
    • [cs.CV]Tracking Objects as Points
    • [cs.CV]Tracking by Instance Detection: A Meta-Learning Approach
    • [cs.CV]Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
    • [cs.CY]A County-level Dataset for Informing the United States’ Response to COVID-19
    • [cs.CY]Best Practices for Transparency in Machine Generated Personalization
    • [cs.CY]Combating The Machine Ethics Crisis: An Educational Approach
    • [cs.CY]Patterns of population displacement during mega-fires in California detected using Facebook Disaster Maps
    • [cs.CY]Robots in the Danger Zone: Exploring Public Perception through Engagement
    • [cs.CY]The Covid19Impact Survey: Assessing the Pulse of the COVID-19 Pandemic in Spain via 24 questions
    • [cs.DC]A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
    • [cs.DC]Building a Shared Resource HPC Center Across University Schools and Institutes: A Case Study
    • [cs.DC]Scheduling Parallel-Task Jobs Subject to Packing and Placement Constraints
    • [cs.GT]No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria
    • [cs.GT]Provable Sample Complexity Guarantees for Learning of Continuous-Action Graphical Games with Nonparametric Utilities
    • [cs.HC]A Survey on Conversational Recommender Systems
    • [cs.IT]An Upgrading Algorithm with Optimal Power Law
    • [cs.IT]Analysis of Multi-Messages Retransmission Schemes
    • [cs.IT]Fundamental Limits of Distributed Encoding
    • [cs.IT]Gopala-Hemachandra codes revisited
    • [cs.IT]Repetition-based NOMA Transmission and Its Outage Probability Analysis
    • [cs.IT]Strong Converse for Testing Against Independence over a Noisy channel
    • [cs.LG]Augmented Q Imitation Learning (AQIL)
    • [cs.LG]Average Reward Adjusted Discounted Reinforcement Learning: Near-Blackwell-Optimal Policies for Real-World Applications
    • [cs.LG]DeepSumm — Deep Code Summaries using Neural Transformer Architecture
    • [cs.LG]Exploration of Reinforcement Learning for Event Camera using Car-like Robots
    • [cs.LG]Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation
    • [cs.LG]In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems
    • [cs.LG]Learning Representations For Images With Hierarchical Labels
    • [cs.LG]Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
    • [cs.LG]Learning to Ask Medical Questions using Reinforcement Learning
    • [cs.LG]Learning to cooperate: Emergent communication in multi-agent navigation
    • [cs.LG]Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow
    • [cs.LG]Object-Centric Image Generation with Factored Depths, Locations, and Appearances
    • [cs.LG]Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning
    • [cs.LG]Predictive Bandits
    • [cs.LG]Sequential Feature Classification in the Context of Redundancies
    • [cs.LG]Sum-product networks: A survey
    • [cs.LG]Surrogate-assisted performance tuning of knowledge discovery algorithms: application to clinical pathway evolutionary modeling
    • [cs.LG]Understanding Global Feature Contributions Through Additive Importance Measures
    • [cs.MA]Generate Country-Scale Networks of Interaction from Scattered Statistics
    • [cs.MM]Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios
    • [cs.NE]Device-aware inference operations in SONOS nonvolatile memory arrays
    • [cs.NE]Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty
    • [cs.NI]IoT-Flock: An Open-source Framework for IoT Traffic Generation
    • [cs.NI]Network Orchestration in Mobile Networks via a Synergy of Model-driven and AI-based Techniques
    • [cs.PL]On the Principles of Differentiable Quantum Programming Languages
    • [cs.PL]Proceedings of the 12th International Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software
    • [cs.RO]A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signals
    • [cs.RO]A reconfigurable robot workcell for quick set-up of assembly processes
    • [cs.RO]CLASH WRIST — A hardware to increase the capability of CLASH fruit gripper to use environment constraints exploration
    • [cs.RO]Constrained-Space Optimization and Reinforcement Learning for Complex Tasks
    • [cs.RO]Enabling End-Users to Deploy Flexible Human-Robot Teams to Factories of the Future
    • [cs.RO]Go Fetch: Mobile Manipulation in Unstructured Environments
    • [cs.RO]Human-Guided Planner for Non-Prehensile Manipulation
    • [cs.RO]Learned and Controlled Autonomous Robotic Exploration in an Extreme, Unknown Environment
    • [cs.RO]Learning Agile Robotic Locomotion Skills by Imitating Animals
    • [cs.RO]Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging
    • [cs.SC]Explosive Proofs of Mathematical Truths
    • [cs.SE]FaaSten Your Decisions: Classification Framework and Technology Review of Function-as-a-Service Platforms
    • [cs.SI]#ArsonEmergency and Australia’s “Black Summer”: Polarisation and misinformation on social media
    • [cs.SI]A k-hop Collaborate Game Model: Extended to Community Budgets and Adaptive Non-Submodularity
    • [cs.SI]Analysing the Extent of Misinformation in Cancer Related Tweets
    • [cs.SI]Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
    • [cs.SI]Spotting political social bots in Twitter: A use case of the 2019 Spanish general election
    • [cs.SI]The Paradox of Information Access: On Modeling Social-Media-Induced Polarization
    • [eess.AS]Improving auditory attention decoding performance of linear and non-linear methods using state-space model
    • [eess.IV]End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images
    • [eess.IV]Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization
    • [eess.IV]Introducing Anisotropic Minkowski Functionals for Local Structure Analysis and Prediction of Biomechanical Strength of Proximal Femur Specimens
    • [eess.IV]Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
    • [eess.SP]Enhance the performance of navigation: A two-stage machine learning approach
    • [eess.SY]Near Optimality and Tractability in Stochastic Nonlinear Control
    • [eess.SY]Safe Feedback Motion Planning: A Contraction Theory and $\mathcal{L}_1$-Adaptive Control Based Approach
    • [eess.SY]Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?
    • [math.CO]Markov Chain-based Sampling for Exploring RNA Secondary Structure under the Nearest Neighbor Thermodynamic Model
    • [math.CO]Power Hadamard matrices and Plotkin-optimal p-ary codes
    • [math.NA]Bayesian ODE Solvers: The Maximum A Posteriori Estimate
    • [math.OC]Fractional Deep Neural Network via Constrained Optimization
    • [math.PR]Kernel autocovariance operators of stationary processes: Estimation and convergence
    • [math.PR]Stopping explosion by penalising transmission to hubs in scale-free spatial random graphs
    • [nlin.AO]Neuronal Sequence Models for Bayesian Online Inference
    • [q-bio.NC]A macro agent and its actions
    • [q-bio.PE]Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution
    • [q-bio.QM]DeepSIBA: Chemical Structure-based Inference of Biological Alterations
    • [quant-ph]Single Quantum Deletion Error-Correcting Codes
    • [stat.AP]Detecting Suspected Epidemic Cases Using Trajectory Big Data
    • [stat.AP]Incorporating travel behavior regularity into passenger flow forecasting
    • [stat.AP]Spatiotemporal analysis of urban heatwaves using Tukey g-and-h random field models
    • [stat.CO]An approximate {KLD} based experimental design for models with intractable likelihoods
    • [stat.CO]Distributed Bayesian clustering
    • [stat.ME]A Monte Carlo comparison of categorical tests of independence
    • [stat.ME]An Approximate Quasi-Likelihood Approach for Error-Prone Failure Time Outcomes and Exposures
    • [stat.ME]Bayesian model selection approach for colored graphical Gaussian models
    • [stat.ME]Classification of Functional Data by Detecting the Discrepancy of Second Moment Structure of Scaled functions
    • [stat.ME]Duality between Approximate Bayesian Methods and Prior Robustness
    • [stat.ME]Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
    • [stat.ME]On Interactions Between Observed and Unobserved Covariates in Matched Observational Studies
    • [stat.ME]Pattern graphs: a graphical approach to nonmonotone missing data
    • [stat.ME]Sequential online subsampling for thinning experimental designs
    • [stat.ME]Stochastic modeling and estimation of COVID-19 population dynamics
    • [stat.ML]Identification Methods With Arbitrary Interventional Distributions as Inputs
    • [stat.ML]Projection Pursuit Gaussian Process Regression
    • [stat.ML]Randomized Kernel Multi-view Discriminant Analysis

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    • [cs.AI]Action Space Shaping in Deep Reinforcement Learning
    Anssi Kanervisto, Christian Scheller, Ville Hautamäki
    http://arxiv.org/abs/2004.00980v1

    • [cs.AI]An anytime tree search algorithm for the 2018 ROADEF/EURO challenge glass cutting problem
    Luc Libralesso, Florian Fontan
    http://arxiv.org/abs/2004.00963v1

    • [cs.AI]Benchmarking End-to-End Behavioural Cloning on Video Games
    Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki
    http://arxiv.org/abs/2004.00981v1

    • [cs.AI]Bias in Machine Learning What is it Good (and Bad) for?
    Thomas Hellström, Virginia Dignum, Suna Bensch
    http://arxiv.org/abs/2004.00686v1

    • [cs.AI]Improving Confidence in the Estimation of Values and Norms
    Luciano Cavalcante Siebert, Rijk Mercuur, Virginia Dignum, Jeroen van den Hoven, Catholijn Jonker
    http://arxiv.org/abs/2004.01056v1

    • [cs.AI]Improving the Utility of Knowledge Graph Embeddings with Calibration
    Tara Safavi, Danai Koutra, Edgar Meij
    http://arxiv.org/abs/2004.01168v1

    • [cs.AI]Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning
    Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Başar
    http://arxiv.org/abs/2004.01098v1

    • [cs.AI]Mimicking Evolution with Reinforcement Learning
    João P. Abrantes, Arnaldo J. Abrantes, Frans A. Oliehoek
    http://arxiv.org/abs/2004.00048v1

    • [cs.AI]Personal Health Knowledge Graphs for Patients
    Nidhi Rastogi, Mohammed J. Zaki
    http://arxiv.org/abs/2004.00071v1

    • [cs.AI]Software Language Comprehension using a Program-Derived Semantic Graph
    Roshni G. Iyer, Yizhou Sun, Wei Wang, Justin Gottschlich
    http://arxiv.org/abs/2004.00768v1

    • [cs.CL]Causal Inference of Script Knowledge
    Noah Weber, Rachel Rudinger, Benjamin Van Durme
    http://arxiv.org/abs/2004.01174v1

    • [cs.CL]Give your Text Representation Models some Love: the Case for Basque
    Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos, Ander Barrena, Xabier Saralegi, Aitor Soroa, Eneko Agirre
    http://arxiv.org/abs/2004.00033v2

    • [cs.CL]How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context
    Jey Han Lau, Carlos S. Armendariz, Shalom Lappin, Matthew Purver, Chang Shu
    http://arxiv.org/abs/2004.00881v1

    • [cs.CL]Igbo-English Machine Translation: An Evaluation Benchmark
    Ignatius Ezeani, Paul Rayson, Ikechukwu Onyenwe, Chinedu Uchechukwu, Mark Hepple
    http://arxiv.org/abs/2004.00648v1

    • [cs.CL]Mapping Languages and Demographics with Georeferenced Corpora
    Jonathan Dunn, Ben Adams
    http://arxiv.org/abs/2004.00809v1

    • [cs.CL]Mapping Languages: The Corpus of Global Language Use
    Jonathan Dunn
    http://arxiv.org/abs/2004.00798v1

    • [cs.CL]NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts
    Salvador Lima, Naiara Perez, Montse Cuadros, German Rigau
    http://arxiv.org/abs/2004.01092v1

    • [cs.CL]Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies
    Xutan Peng, Chenghua Lin, Mark Stevenson, Chen li
    http://arxiv.org/abs/2004.01079v1

    • [cs.CR]Topological Properties of Multi-Party Blockchain Transactions
    Dongfang Zhao
    http://arxiv.org/abs/2004.01045v1

    • [cs.CV]Adversarial Learning for Personalized Tag Recommendation
    Erik Quintanilla, Yogesh Rawat, Andrey Sakryukin, Mubarak Shah, Mohan Kankanhalli
    http://arxiv.org/abs/2004.00698v1

    • [cs.CV]Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
    Zhonghao Wang, Yunchao Wei, Rogerior Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
    http://arxiv.org/abs/2004.00794v1

    • [cs.CV]An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
    Ehsan Yaghoubi, Diana Borza, João Neves, Aruna Kumar, Hugo Proença
    http://arxiv.org/abs/2004.01110v1

    • [cs.CV]Articulation-aware Canonical Surface Mapping
    Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani
    http://arxiv.org/abs/2004.00614v2

    • [cs.CV]BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation
    Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
    http://arxiv.org/abs/2004.01130v1

    • [cs.CV]Background Matting: The World is Your Green Screen
    Soumyadip Sengupta, Vivek Jayaram, Brian Curless, Steve Seitz, Ira Kemelmacher-Shlizerman
    http://arxiv.org/abs/2004.00626v1

    • [cs.CV]Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
    Henry M. Clever, Zackory Erickson, Ariel Kapusta, Greg Turk, C. Karen Liu, Charles C. Kemp
    http://arxiv.org/abs/2004.01166v1

    • [cs.CV]Boosting Deep Hyperspectral Image Classification with Spectral Unmixing
    Alan J. X. Guo, Fei Zhu
    http://arxiv.org/abs/2004.00583v2

    • [cs.CV]Consistent Multiple Sequence Decoding
    Bicheng Xu, Leonid Sigal
    http://arxiv.org/abs/2004.00760v1

    • [cs.CV]Controllable Orthogonalization in Training DNNs
    Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
    http://arxiv.org/abs/2004.00917v1

    • [cs.CV]DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
    Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Tom Funkhouser, Caroline Pantofaru, David Ross, Larry S. Davis, Alireza Fathi
    http://arxiv.org/abs/2004.01170v1

    • [cs.CV]DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
    Jonas Schult, Francis Engelmann, Theodora Kontogianni, Bastian Leibe
    http://arxiv.org/abs/2004.01002v1

    • [cs.CV]Effect of Annotation Errors on Drone Detection with YOLOv3
    Aybora Koksal, Kutalmis Gokalp Ince, A. Aydin Alatan
    http://arxiv.org/abs/2004.01059v1

    • [cs.CV]Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition
    Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
    http://arxiv.org/abs/2004.01019v1

    • [cs.CV]Generalized Zero-Shot Learning Via Over-Complete Distribution
    Rohit Keshari, Richa Singh, Mayank Vatsa
    http://arxiv.org/abs/2004.00666v1

    • [cs.CV]Graph-based fusion for change detection in multi-spectral images
    David Alejandro Jimenez Sierra, Hernán Darío Benítez Restrepo, Hernán Darío Vargas Cardonay, Jocelyn Chanussot
    http://arxiv.org/abs/2004.00786v1

    • [cs.CV]Improving 3D Object Detection through Progressive Population Based Augmentation
    Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov
    http://arxiv.org/abs/2004.00831v1

    • [cs.CV]Learning Longterm Representations for Person Re-Identification Using Radio Signals
    Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi
    http://arxiv.org/abs/2004.01091v1

    • [cs.CV]Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
    Despoina Paschalidou, Luc van Gool, Andreas Geiger
    http://arxiv.org/abs/2004.01176v1

    • [cs.CV]Learning to See Through Obstructions
    Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
    http://arxiv.org/abs/2004.01180v1

    • [cs.CV]Learning to Segment the Tail
    Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang
    http://arxiv.org/abs/2004.00900v1

    • [cs.CV]MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model
    Han Fu, Rui Wu, Chenghao Liu, Jianling Sun
    http://arxiv.org/abs/2004.01095v1

    • [cs.CV]Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios
    Xiaoliang Wang, Yeqiang Qian, Chunxiang Wang, Ming Yang
    http://arxiv.org/abs/2004.01101v1

    • [cs.CV]Memory-Efficient Incremental Learning Through Feature Adaptation
    Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid
    http://arxiv.org/abs/2004.00713v1

    • [cs.CV]Model-based disentanglement of lens occlusions
    Fabio Pizzati, Pietro Cerri, Raoul de Charette
    http://arxiv.org/abs/2004.01071v1

    • [cs.CV]Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
    Huai Yu, Weikun Zhen, Wen Yang, Ji Zhang, Sebastian Scherer
    http://arxiv.org/abs/2004.00740v1

    • [cs.CV]Objects of violence: synthetic data for practical ML in human rights investigations
    Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kochetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise
    http://arxiv.org/abs/2004.01030v1

    • [cs.CV]Occlusion-Aware Depth Estimation with Adaptive Normal Constraints
    Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang
    http://arxiv.org/abs/2004.00845v1

    • [cs.CV]PaStaNet: Toward Human Activity Knowledge Engine
    Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Hao-Shu Fang, Ze Ma, Mingyang Chen, Cewu Lu
    http://arxiv.org/abs/2004.00945v1

    • [cs.CV]Physically Realizable Adversarial Examples for LiDAR Object Detection
    James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
    http://arxiv.org/abs/2004.00543v2

    • [cs.CV]Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
    Zhicheng Huang, Zhaoyang Zeng, Bei Liu, Dongmei Fu, Jianlong Fu
    http://arxiv.org/abs/2004.00849v1

    • [cs.CV]ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
    Eu Wern Teh, Terrance DeVries, Graham W. Taylor
    http://arxiv.org/abs/2004.01113v1

    • [cs.CV]Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
    Luming Tang, Davis Wertheimer, Bharath Hariharan
    http://arxiv.org/abs/2004.00705v1

    • [cs.CV]Robust Single Rotation Averaging
    Seong Hun Lee, Javier Civera
    http://arxiv.org/abs/2004.00732v1

    • [cs.CV]Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization
    Marija Vella, João F. C. Mota
    http://arxiv.org/abs/2004.00843v1

    • [cs.CV]SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience
    Umar Asif, Stefan Von Cavallar, Jianbin Tang, Stefan Harre
    http://arxiv.org/abs/2004.00797v1

    • [cs.CV]Scene-Adaptive Video Frame Interpolation via Meta-Learning
    Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee
    http://arxiv.org/abs/2004.00779v1

    • [cs.CV]Synchronizing Probability Measures on Rotations via Optimal Transport
    Tolga Birdal, Michael Arbel, Umut Şimşekli, Leonidas Guibas
    http://arxiv.org/abs/2004.00663v1

    • [cs.CV]Tracking Objects as Points
    Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
    http://arxiv.org/abs/2004.01177v1

    • [cs.CV]Tracking by Instance Detection: A Meta-Learning Approach
    Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng
    http://arxiv.org/abs/2004.00830v1

    • [cs.CV]Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
    Yunxuan Wei, Shuhang Gu, Yawei Li, Longcun Jin
    http://arxiv.org/abs/2004.01178v1

    • [cs.CY]A County-level Dataset for Informing the United States’ Response to COVID-19
    Benjamin D. Killeen, Jie Ying Wu, Kinjal Shah, Anna Zapaishchykova, Philipp Nikutta, Aniruddha Tamhane, Shreya Chakraborty, Jinchi Wei, Tiger Gao, Mareike Thies, Mathias Unberath
    http://arxiv.org/abs/2004.00756v1

    • [cs.CY]Best Practices for Transparency in Machine Generated Personalization
    Laura Schelenz, Avi Segal, Kobi Gal
    http://arxiv.org/abs/2004.00935v1

    • [cs.CY]Combating The Machine Ethics Crisis: An Educational Approach
    Tai Vu
    http://arxiv.org/abs/2004.00817v1

    • [cs.CY]Patterns of population displacement during mega-fires in California detected using Facebook Disaster Maps
    Shenyue Jia, Seung Hee Kim, Son V. Nghiem, Paul Doherty, Menas Kafatos
    http://arxiv.org/abs/2004.01084v1

    • [cs.CY]Robots in the Danger Zone: Exploring Public Perception through Engagement
    David A. Robb, Muneeb I. Ahmad, Carlo Tiseo, Simona Aracri, Alistair C. McConnell, Vincent Page, Christian Dondrup, Francisco J. Chiyah Garcia, Hai-Nguyen Nguyen, Èric Pairet, Paola Ardón Ramírez, Tushar Semwal, Hazel M. Taylor, Lindsay J. Wilson, David Lane, Helen Hastie, Katrin Lohan
    http://arxiv.org/abs/2004.00689v1

    • [cs.CY]The Covid19Impact Survey: Assessing the Pulse of the COVID-19 Pandemic in Spain via 24 questions
    Nuria Oliver, Xavier Barber, Kirsten Roomp, Kristof Roomp
    http://arxiv.org/abs/2004.01014v1

    • [cs.DC]A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
    Yuzheng Li, Chuan Chen, Nan Liu, Huawei Huang, Zibin Zheng, Qiang Yan
    http://arxiv.org/abs/2004.00773v1

    • [cs.DC]Building a Shared Resource HPC Center Across University Schools and Institutes: A Case Study
    Glen MacLachlan, Jason Hurlburt, Marco Suarez, Kai Leung Wong, William Burke, Terrence Lewis, Andrew Gallo, Jaroslav Flidr, Raoul Gabiam, Janis Nicholas, Brian Ensor
    http://arxiv.org/abs/2003.13629v2

    • [cs.DC]Scheduling Parallel-Task Jobs Subject to Packing and Placement Constraints
    Mehrnoosh Shafiee, Javad Ghaderi
    http://arxiv.org/abs/2004.00518v2

    • [cs.GT]No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria
    Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
    http://arxiv.org/abs/2004.00603v2

    • [cs.GT]Provable Sample Complexity Guarantees for Learning of Continuous-Action Graphical Games with Nonparametric Utilities
    Adarsh Barik, Jean Honorio
    http://arxiv.org/abs/2004.01022v1

    • [cs.HC]A Survey on Conversational Recommender Systems
    Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen
    http://arxiv.org/abs/2004.00646v1

    • [cs.IT]An Upgrading Algorithm with Optimal Power Law
    Or Ordentlich, Ido Tal
    http://arxiv.org/abs/2004.00869v1

    • [cs.IT]Analysis of Multi-Messages Retransmission Schemes
    Alla Khreis, Francesca Bassi, Philippe Ciblat, Pierre Duhamel
    http://arxiv.org/abs/2004.01090v1

    • [cs.IT]Fundamental Limits of Distributed Encoding
    Nastaran Abadi Khooshemehr, Mohammad Ali Maddah-Ali
    http://arxiv.org/abs/2004.00811v1

    • [cs.IT]Gopala-Hemachandra codes revisited
    L. Childers, K. Gopalakrishnan
    http://arxiv.org/abs/2004.00821v1

    • [cs.IT]Repetition-based NOMA Transmission and Its Outage Probability Analysis
    Jinho Choi
    http://arxiv.org/abs/2004.00813v1

    • [cs.IT]Strong Converse for Testing Against Independence over a Noisy channel
    Sreejith Sreekumar, Deniz Gündüz
    http://arxiv.org/abs/2004.00775v1

    • [cs.LG]Augmented Q Imitation Learning (AQIL)
    Xiao Lei Zhang, Anish Agarwal
    http://arxiv.org/abs/2004.00993v1

    • [cs.LG]Average Reward Adjusted Discounted Reinforcement Learning: Near-Blackwell-Optimal Policies for Real-World Applications
    Manuel Schneckenreither
    http://arxiv.org/abs/2004.00857v1

    • [cs.LG]DeepSumm — Deep Code Summaries using Neural Transformer Architecture
    Vivek Gupta
    http://arxiv.org/abs/2004.00998v1

    • [cs.LG]Exploration of Reinforcement Learning for Event Camera using Car-like Robots
    Riku Arakawa, Shintaro Shiba
    http://arxiv.org/abs/2004.00801v1

    • [cs.LG]Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation
    Mengyue Yang, Qingyang Li, Zhiwei Qin, Jieping Ye
    http://arxiv.org/abs/2004.01136v1

    • [cs.LG]In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems
    Michael L. Iuzzolino, Tetsumichi Umada, Nisar R. Ahmed, Danielle A. Szafir
    http://arxiv.org/abs/2004.00762v1

    • [cs.LG]Learning Representations For Images With Hierarchical Labels
    Ankit Dhall
    http://arxiv.org/abs/2004.00909v1

    • [cs.LG]Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
    Arturo Marban, Daniel Becking, Simon Wiedemann, Wojciech Samek
    http://arxiv.org/abs/2004.01077v1

    • [cs.LG]Learning to Ask Medical Questions using Reinforcement Learning
    Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan Krumholz
    http://arxiv.org/abs/2004.00994v1

    • [cs.LG]Learning to cooperate: Emergent communication in multi-agent navigation
    Ivana Kajić, Eser Aygün, Doina Precup
    http://arxiv.org/abs/2004.01097v1

    • [cs.LG]Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow
    Suriya Gunasekar, Blake Woodworth, Nathan Srebro
    http://arxiv.org/abs/2004.01025v1

    • [cs.LG]Object-Centric Image Generation with Factored Depths, Locations, and Appearances
    Titas Anciukevicius, Christoph H. Lampert, Paul Henderson
    http://arxiv.org/abs/2004.00642v1

    • [cs.LG]Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning
    Yingqi Gu, Akshay Zalkikar, Lara Kelly, Kieran Daly, Tomas E. Ward
    http://arxiv.org/abs/2004.01144v1

    • [cs.LG]Predictive Bandits
    Simon Lindståhl, Alexandre Proutiere, Andreas Johnsson
    http://arxiv.org/abs/2004.01141v1

    • [cs.LG]Sequential Feature Classification in the Context of Redundancies
    Lukas Pfannschmidt, Barbara Hammer
    http://arxiv.org/abs/2004.00658v1

    • [cs.LG]Sum-product networks: A survey
    Iago París, Raquel Sánchez-Cauce, Francisco Javier Díez
    http://arxiv.org/abs/2004.01167v1

    • [cs.LG]Surrogate-assisted performance tuning of knowledge discovery algorithms: application to clinical pathway evolutionary modeling
    Anastasia A. Funkner, Aleksey N. Yakovlev, Sergey V. Kovalchuk
    http://arxiv.org/abs/2004.01123v1

    • [cs.LG]Understanding Global Feature Contributions Through Additive Importance Measures
    Ian Covert, Scott Lundberg, Su-In Lee
    http://arxiv.org/abs/2004.00668v1

    • [cs.MA]Generate Country-Scale Networks of Interaction from Scattered Statistics
    Samuel Thiriot, Jean-Daniel Kant
    http://arxiv.org/abs/2004.01031v1

    • [cs.MM]Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios
    Alexander Schindler, Andrew Lindley, Anahid Jalali, Martin Boyer, Sergiu Gordea, Ross King
    http://arxiv.org/abs/2004.01023v1

    • [cs.NE]Device-aware inference operations in SONOS nonvolatile memory arrays
    Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Vineet Agrawal, Ben Feinberg, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew J. Marinella
    http://arxiv.org/abs/2004.00802v1

    • [cs.NE]Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty
    Wenjing Li, Wei Bian
    http://arxiv.org/abs/2004.00858v1

    • [cs.NI]IoT-Flock: An Open-source Framework for IoT Traffic Generation
    Syed Ghazanfar, Faisal Hussain, Atiq Ur Rehman, Ubaid U. Fayyaz, Farrukh Shahzad, Ghalib A. Shah
    http://arxiv.org/abs/2004.00844v1

    • [cs.NI]Network Orchestration in Mobile Networks via a Synergy of Model-driven and AI-based Techniques
    Yantong Wang, Vasilis Friderikos
    http://arxiv.org/abs/2004.00660v1

    • [cs.PL]On the Principles of Differentiable Quantum Programming Languages
    Shaopeng Zhu, Shih-Han Hung, Shouvanik Chakrabarti, Xiaodi Wu
    http://arxiv.org/abs/2004.01122v1

    • [cs.PL]Proceedings of the 12th International Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software
    Stephanie Balzer, Luca Padovani
    http://arxiv.org/abs/2004.01062v1

    • [cs.RO]A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signals
    Pedro Piacenza, Keith Behrman, Benedikt Schifferer, Ioannis Kymissis, Matei Ciocarlie
    http://arxiv.org/abs/2004.00685v1

    • [cs.RO]A reconfigurable robot workcell for quick set-up of assembly processes
    Timotej Gašpar, Miha Deniša, Aleš Ude
    http://arxiv.org/abs/2004.00865v1

    • [cs.RO]CLASH WRIST — A hardware to increase the capability of CLASH fruit gripper to use environment constraints exploration
    Werner Friedl, Maximo A. Roa
    http://arxiv.org/abs/2004.00880v1

    • [cs.RO]Constrained-Space Optimization and Reinforcement Learning for Complex Tasks
    Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang
    http://arxiv.org/abs/2004.00716v1

    • [cs.RO]Enabling End-Users to Deploy Flexible Human-Robot Teams to Factories of the Future
    Dominik Riedelbauch, Johannes Hartwig, Dominik Henrich
    http://arxiv.org/abs/2004.00862v1

    • [cs.RO]Go Fetch: Mobile Manipulation in Unstructured Environments
    Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan Nieto, Roland Siegwart
    http://arxiv.org/abs/2004.00899v1

    • [cs.RO]Human-Guided Planner for Non-Prehensile Manipulation
    Rafael Papallas, Mehmet R. Dogar
    http://arxiv.org/abs/2004.00946v1

    • [cs.RO]Learned and Controlled Autonomous Robotic Exploration in an Extreme, Unknown Environment
    Frances Zhu, D. Sawyer Elliott, ZhiDi Yang, Haoyuan Zheng
    http://arxiv.org/abs/2004.00749v1

    • [cs.RO]Learning Agile Robotic Locomotion Skills by Imitating Animals
    Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Lee, Jie Tan, Sergey Levine
    http://arxiv.org/abs/2004.00784v1

    • [cs.RO]Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging
    Zackory Erickson, Eliot Xing, Bharat Srirangam, Sonia Chernova, Charles C. Kemp
    http://arxiv.org/abs/2004.01160v1

    • [cs.SC]Explosive Proofs of Mathematical Truths
    Scott Viteri, Simon DeDeo
    http://arxiv.org/abs/2004.00055v1

    • [cs.SE]FaaSten Your Decisions: Classification Framework and Technology Review of Function-as-a-Service Platforms
    Vladimir Yussupov, Jacopo Soldani, Uwe Breitenbücher, Antonio Brogi, Frank Leymann
    http://arxiv.org/abs/2004.00969v1

    • [cs.SI]#ArsonEmergency and Australia’s “Black Summer”: Polarisation and misinformation on social media
    Derek Weber, Mehwish Nasim, Lucia Falzon, Lewis Mitchell
    http://arxiv.org/abs/2004.00742v1

    • [cs.SI]A k-hop Collaborate Game Model: Extended to Community Budgets and Adaptive Non-Submodularity
    Jianxiong Guo, Weili Wu
    http://arxiv.org/abs/2004.00893v1

    • [cs.SI]Analysing the Extent of Misinformation in Cancer Related Tweets
    Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt
    http://arxiv.org/abs/2003.13657v3

    • [cs.SI]Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
    Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Yu Lin
    http://arxiv.org/abs/2004.01024v1

    • [cs.SI]Spotting political social bots in Twitter: A use case of the 2019 Spanish general election
    Javier Pastor-Galindo, Mattia Zago, Pantaleone Nespoli, Sergio López Bernal, Alberto Huertas Celdrán, Manuel Gil Pérez, José A. Ruipérez-Valiente, Gregorio Martínez Pérez, Félix Gómez Mármol
    http://arxiv.org/abs/2004.00931v1

    • [cs.SI]The Paradox of Information Access: On Modeling Social-Media-Induced Polarization
    Chao Xu, Jinyang Li, Tarek Abdelzaher, Heng Ji, Boleslaw K. Szymanski, John Dellaverson
    http://arxiv.org/abs/2004.01106v1

    • [eess.AS]Improving auditory attention decoding performance of linear and non-linear methods using state-space model
    Ali Aroudi, Tobias de Taillez, Simon Doclo
    http://arxiv.org/abs/2004.00910v1

    • [eess.IV]End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images
    Yoni Kasten, Daniel Doktofsky, Ilya Kovler
    http://arxiv.org/abs/2004.00871v1

    • [eess.IV]Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization
    Yanwei Zhao, Ping Yang, Qiu Guan, Jianwei Zheng, Wanliang Wang
    http://arxiv.org/abs/2004.00753v1

    • [eess.IV]Introducing Anisotropic Minkowski Functionals for Local Structure Analysis and Prediction of Biomechanical Strength of Proximal Femur Specimens
    Titas De
    http://arxiv.org/abs/2004.01029v1

    • [eess.IV]Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
    Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
    http://arxiv.org/abs/2004.01179v1

    • [eess.SP]Enhance the performance of navigation: A two-stage machine learning approach
    Yimin Fan, Zhiyuan Wang, Yuanpeng Lin, Haisheng Tan
    http://arxiv.org/abs/2004.00879v1

    • [eess.SY]Near Optimality and Tractability in Stochastic Nonlinear Control
    Mohamed Naveed Gul Mohamed, Suman Chakravorty
    http://arxiv.org/abs/2004.01041v1

    • [eess.SY]Safe Feedback Motion Planning: A Contraction Theory and $\mathcal{L}_1$-Adaptive Control Based Approach
    Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan
    http://arxiv.org/abs/2004.01142v1

    • [eess.SY]Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?
    Sebastien Gros, Mario Zanon, Alberto Bemporad
    http://arxiv.org/abs/2004.00915v1

    • [math.CO]Markov Chain-based Sampling for Exploring RNA Secondary Structure under the Nearest Neighbor Thermodynamic Model
    Anna Kirkpatrick, Kalen Patton
    http://arxiv.org/abs/2004.01089v1

    • [math.CO]Power Hadamard matrices and Plotkin-optimal p-ary codes
    Damla Acar, Oğuz Yayla
    http://arxiv.org/abs/2004.00771v1

    • [math.NA]Bayesian ODE Solvers: The Maximum A Posteriori Estimate
    Filip Tronarp, Simo Sarkka, Philipp Hennig
    http://arxiv.org/abs/2004.00623v1

    • [math.OC]Fractional Deep Neural Network via Constrained Optimization
    Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma
    http://arxiv.org/abs/2004.00719v1

    • [math.PR]Kernel autocovariance operators of stationary processes: Estimation and convergence
    Mattes Mollenhauer, Stefan Klus, Christof Schütte, Péter Koltai
    http://arxiv.org/abs/2004.00891v1

    • [math.PR]Stopping explosion by penalising transmission to hubs in scale-free spatial random graphs
    Júlia Komjáthy, John Lapinskas, Johannes Lengler
    http://arxiv.org/abs/2004.01149v1

    • [nlin.AO]Neuronal Sequence Models for Bayesian Online Inference
    Sascha Frölich, Dimitrije Marković, Stefan J. Kiebel
    http://arxiv.org/abs/2004.00930v1

    • [q-bio.NC]A macro agent and its actions
    Larissa Albantakis, Francesco Massari, Maggie Beheler-Amass, Giulio Tononi
    http://arxiv.org/abs/2004.00058v1

    • [q-bio.PE]Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution
    I. De Falco, A. Della Cioppa, U. Scafuri, E. Tarantino
    http://arxiv.org/abs/2004.00553v2

    • [q-bio.QM]DeepSIBA: Chemical Structure-based Inference of Biological Alterations
    C. Fotis, N. Meimetis, A. Sardis, L. G. Alexopoulos
    http://arxiv.org/abs/2004.01028v1

    • [quant-ph]Single Quantum Deletion Error-Correcting Codes
    Ayumu Nakayama, Manabu Hagiwara
    http://arxiv.org/abs/2004.00814v1

    • [stat.AP]Detecting Suspected Epidemic Cases Using Trajectory Big Data
    Chuansai Zhou, Wen Yuan, Jun Wang, Haiyong Xu, Yong Jiang, Xinmin Wang, Qiuzi Han Wen, Pingwen Zhang
    http://arxiv.org/abs/2004.00908v1

    • [stat.AP]Incorporating travel behavior regularity into passenger flow forecasting
    Zhanhong Cheng, Martin Trepanier, Lijun Sun
    http://arxiv.org/abs/2004.00992v1

    • [stat.AP]Spatiotemporal analysis of urban heatwaves using Tukey g-and-h random field models
    Daisuke Murakami, Gareth W. Peters, Tomoko Matsui, Yoshiki Yamagata
    http://arxiv.org/abs/2004.00852v1

    • [stat.CO]An approximate {KLD} based experimental design for models with intractable likelihoods
    Ziqiao Ao, Jinglai Li
    http://arxiv.org/abs/2004.00715v1

    • [stat.CO]Distributed Bayesian clustering
    Hanyu Song, Yingjian Wang, David B. Dunson
    http://arxiv.org/abs/2003.13936v1

    • [stat.ME]A Monte Carlo comparison of categorical tests of independence
    Abdulaziz Alenazi
    http://arxiv.org/abs/2004.00973v1

    • [stat.ME]An Approximate Quasi-Likelihood Approach for Error-Prone Failure Time Outcomes and Exposures
    Lillian A. Boe, Lesley F. Tinker, Pamela A. Shaw
    http://arxiv.org/abs/2004.01112v1

    • [stat.ME]Bayesian model selection approach for colored graphical Gaussian models
    Qiong Li, Xin Gao, Helene Massam
    http://arxiv.org/abs/2004.00764v1

    • [stat.ME]Classification of Functional Data by Detecting the Discrepancy of Second Moment Structure of Scaled functions
    Shuhao Jiao, Ron D. Frostig, Hernando Ombao
    http://arxiv.org/abs/2004.00855v1

    • [stat.ME]Duality between Approximate Bayesian Methods and Prior Robustness
    Chaitanya Joshi, Fabrizio Ruggeri
    http://arxiv.org/abs/2004.00796v1

    • [stat.ME]Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
    Molei Liu, Yin Xia, Tianxi Cai, Kelly Cho
    http://arxiv.org/abs/2004.00816v1

    • [stat.ME]On Interactions Between Observed and Unobserved Covariates in Matched Observational Studies
    Siyu Heng, Dylan S. Small
    http://arxiv.org/abs/2004.00766v1

    • [stat.ME]Pattern graphs: a graphical approach to nonmonotone missing data
    Yen-Chi Chen
    http://arxiv.org/abs/2004.00744v1

    • [stat.ME]Sequential online subsampling for thinning experimental designs
    Luc Pronzato, HaiYing Wang
    http://arxiv.org/abs/2004.00792v1

    • [stat.ME]Stochastic modeling and estimation of COVID-19 population dynamics
    Nikolay M. Yanev, Vessela K. Stoimenova, Dimitar V. Atanasov
    http://arxiv.org/abs/2004.00941v1

    • [stat.ML]Identification Methods With Arbitrary Interventional Distributions as Inputs
    Jaron J. R. Lee, Ilya Shpitser
    http://arxiv.org/abs/2004.01157v1

    • [stat.ML]Projection Pursuit Gaussian Process Regression
    Gecheng Chen, Rui Tuo
    http://arxiv.org/abs/2004.00667v1

    • [stat.ML]Randomized Kernel Multi-view Discriminant Analysis
    Xiaoyun Li, Jie Gui, Ping Li
    http://arxiv.org/abs/2004.01143v1