astro-ph.GA - 星系天体物理学

    astro-ph.IM - 仪器仪表和天体物理学方法 cond-mat.mtrl-sci - 材料科学 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 q-bio.BM - 生物分子 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.GA]A Catalogue of Locus Algorithm Pointings for Optimal Differential Photometry for 23,779 Quasars
    • [astro-ph.IM]The Locus Algorithm II: A robust software system to maximise the quality of fields of view for Differential Photometry
    • [astro-ph.IM]The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry
    • [cond-mat.mtrl-sci]Automated discovery of a robust interatomic potential for aluminum
    • [cs.AI]How the Brain might use Division
    • [cs.AI]Magic: the Gathering is as Hard as Arithmetic
    • [cs.AI]Optimizing Revenue while showing Relevant Assortments at Scale
    • [cs.AI]Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems
    • [cs.CL]A Benchmark for Systematic Generalization in Grounded Language Understanding
    • [cs.CL]Capturing document context inside sentence-level neural machine translation models with self-training
    • [cs.CL]Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages
    • [cs.CL]TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
    • [cs.CL]Vector symbolic architectures for context-free grammars
    • [cs.CR]ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition
    • [cs.CR]IoT Expunge: Implementing Verifiable Retention of IoT Data
    • [cs.CR]TEDL: A Text Encryption Method Based on Deep Learning
    • [cs.CV]A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection
    • [cs.CV]Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
    • [cs.CV]CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing
    • [cs.CV]Cars Can’t Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
    • [cs.CV]Cascaded Human-Object Interaction Recognition
    • [cs.CV]Channel Interaction Networks for Fine-Grained Image Categorization
    • [cs.CV]Cloth in the Wind: A Case Study of Physical Measurement through Simulation
    • [cs.CV]Equalization Loss for Long-Tailed Object Recognition
    • [cs.CV]GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency
    • [cs.CV]HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation
    • [cs.CV]Hierarchical Human Parsing with Typed Part-Relation Reasoning
    • [cs.CV]How Powerful Are Randomly Initialized Pointcloud Set Functions?
    • [cs.CV]Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration
    • [cs.CV]Keyfilter-Aware Real-Time UAV Object Tracking
    • [cs.CV]LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images
    • [cs.CV]Learning Diverse Fashion Collocation by Neural Graph Filtering
    • [cs.CV]Learning Video Object Segmentation from Unlabeled Videos
    • [cs.CV]Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training
    • [cs.CV]Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
    • [cs.CV]PL${}_{1}$P — Point-line Minimal Problems under Partial Visibility in Three Views
    • [cs.CV]PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment
    • [cs.CV]Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
    • [cs.CV]Regularized Adaptation for Stable and Efficient Continuous-Level Learning
    • [cs.CV]Rethinking Image Mixture for Unsupervised Visual Representation Learning
    • [cs.CV]SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification
    • [cs.CV]Semi-Local 3D Lane Detection and Uncertainty Estimation
    • [cs.CV]SuperMix: Supervising the Mixing Data Augmentation
    • [cs.CV]Tidying Deep Saliency Prediction Architectures
    • [cs.CV]Training-Set Distillation for Real-Time UAV Object Tracking
    • [cs.CV]Uncertainty depth estimation with gated images for 3D reconstruction
    • [cs.CV]Using an ensemble color space model to tackle adversarial examples
    • [cs.CV]Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning
    • [cs.CV]Visual Grounding in Video for Unsupervised Word Translation
    • [cs.CV]xCos: An Explainable Cosine Metric for Face Verification Task
    • [cs.CY]Predicting the Amount of GDPR Fines
    • [cs.DB]Crop Knowledge Discovery Based on Agricultural Big Data Integration
    • [cs.DB]Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case
    • [cs.DC]Evaluating Abstract Asynchronous Schwarz solvers
    • [cs.DC]RealityCheck: Bringing Modularity, Hierarchy, and Abstraction to Automated Microarchitectural Memory Consistency Verification
    • [cs.DC]Scaling Hyperledger Fabric Using Pipelined Execution and Sparse Peers
    • [cs.IR]Entity Extraction from Wikipedia List Pages
    • [cs.IR]Text classification with word embedding regularization and soft similarity measure
    • [cs.IT]A Practical Approach to Navigating the Tradeoff Between Privacy and Precise Utility
    • [cs.IT]Beam Designs for Millimeter-Wave Backhaul with Dual-Polarized Uniform Planar Arrays
    • [cs.IT]Beyond the Guruswami-Sudan (and Parvaresh-Vardy) Radii: Folded Reed-Solomon, Multiplicity and Derivative Codes
    • [cs.IT]Coded Caching in Multi-server System with Random Topology
    • [cs.IT]Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
    • [cs.IT]New Self-Dual Codes of length 68 from a 2 by 2 block matrix Construction and Group Rings
    • [cs.IT]On the Effect of Correlation on the Capacity of Backscatter Communication Systems
    • [cs.LG]$Q^\star$ Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
    • [cs.LG]Building and Interpreting Deep Similarity Models
    • [cs.LG]Closure Properties for Private Classification and Online Prediction
    • [cs.LG]Context-aware Non-linear and Neural Attentive Knowledge-based Models for Grade Prediction
    • [cs.LG]Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
    • [cs.LG]Delay-Adaptive Learning in Generalized Linear Contextual Bandits
    • [cs.LG]Fairness by Explicability and Adversarial SHAP Learning
    • [cs.LG]Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
    • [cs.LG]Gaussian Graphical Model exploration and selection in high dimension low sample size setting
    • [cs.LG]Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches
    • [cs.LG]Imputing Missing Boarding Stations With Machine Learning Methods
    • [cs.LG]Industrial Scale Privacy Preserving Deep Neural Network
    • [cs.LG]Kernel Quantization for Efficient Network Compression
    • [cs.LG]Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
    • [cs.LG]Meta-learning curiosity algorithms
    • [cs.LG]Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance
    • [cs.LG]Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
    • [cs.LG]Tensorized Random Projections
    • [cs.LG]The MineRL Competition on Sample-Efficient Reinforcement Learning Using Human Priors: A Retrospective
    • [cs.LG]Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
    • [cs.LG]Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees
    • [cs.LG]Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems
    • [cs.MM]Exploring the Role of Visual Content in Fake News Detection
    • [cs.NE]Interpolated Adjoint Method for Neural ODEs
    • [cs.NE]Neural Networks are Surprisingly Modular
    • [cs.NE]hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
    • [cs.NI]Machine Learning for Intelligent Optical Networks: A Comprehensive Survey
    • [cs.RO]3-Survivor: A Rough Terrain Negotiable Teleoperated Mobile Rescue Robot with Passive Control Mechanism
    • [cs.RO]A Fractional-Order Normalized Bouc-Wen Model for Piezoelectric Hysteresis Nonlinearity
    • [cs.RO]A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling
    • [cs.RO]A Methodology for Automating Assurance Case Generation
    • [cs.RO]A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
    • [cs.RO]Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments
    • [cs.RO]Adaptive Neural Trajectory Tracking Control for Flexible-Joint Robots with Online Learning
    • [cs.RO]Decentralized Visual-Inertial-UWB Fusion for Relative State Estimation of Aerial Swarm
    • [cs.RO]Development of a Robotic System for Automated Decaking of 3D-Printed Parts
    • [cs.RO]Explainable Agents Through Social Cues: A Review
    • [cs.RO]Fast and Accurate Mapping for Autonomous Racing
    • [cs.RO]FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow
    • [cs.RO]Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds
    • [cs.RO]GPU Parallelization of Policy Iteration RRT#
    • [cs.RO]Hundred Drones Land in a Minute
    • [cs.RO]Learning State-Dependent Losses for Inverse Dynamics Learning
    • [cs.RO]Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments
    • [cs.RO]Optimization-Based Hierarchical Motion Planning for Autonomous Racing
    • [cs.RO]Retraction Mechanism of Soft Torus Robot with a Hydrostatic Skeleton
    • [cs.RO]SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
    • [cs.RO]Self-supervised Point Set Local Descriptors for Point Cloud Registration
    • [cs.RO]Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
    • [cs.SE]A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction
    • [cs.SE]Research Directions for Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems
    • [cs.SI]Combined Centrality Measures for an Improved Characterization of Influence Spreadin Social Networks
    • [cs.SI]Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia
    • [cs.SI]Enterprise Social Networks as Digital Infrastructures — Understanding the Utilitarian Value of Social Media at the Workplace
    • [cs.SI]The COVID-19 Social Media Infodemic
    • [cs.SI]Variable-Based Network Analysis of Datasets on Data Exchange Platforms
    • [econ.EM]A mixture autoregressive model based on Gaussian and Student’s $t$-distributions
    • [eess.IV]Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
    • [eess.IV]BP-DIP: A Backprojection based Deep Image Prior
    • [eess.IV]Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
    • [eess.IV]Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
    • [eess.IV]Spine intervertebral disc labeling using a fully convolutional redundant counting model
    • [eess.SP]Distributed Deep Convolutional Compression for Massive MIMO CSI Feedback
    • [math.OC]Coordinate-wise Armijo’s condition: General case
    • [math.OC]Majorization Minimization Methods to Distributed Pose Graph Optimization with Convergence Guarantees
    • [math.PR]Adaptive estimation of the stationary density of a stochastic differential equation driven by a fractional Brownian motion
    • [math.ST]Analysis and applications of the residual varentropy of random lifetimes
    • [math.ST]Estimation and Inference of Time-Varying Auto-Covariance under Complex Trend: A Difference-based Approach
    • [math.ST]Modeling temporally uncorrelated components for complex-valued stationary processes
    • [physics.comp-ph]Integrating Physics-Based Modeling with Machine Learning: A Survey
    • [physics.med-ph]Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images
    • [q-bio.BM]Mapping active allosteric loci SARS-CoV Spike Proteins by means of Protein Contact Networks
    • [q-bio.QM]A new method for faster and more accurate inference of species associations from novel community data
    • [stat.AP]A spatio-temporal model to understand forest fires causality in Europe
    • [stat.AP]A spatiotemporal recommendation engine for malaria control
    • [stat.AP]Individual-Level Modelling of Infectious Disease Data: EpiILM
    • [stat.AP]New stochastic highway capacity estimation method and why product limit method is unsuitable
    • [stat.AP]Prediction of Bayesian Intervals for Tropical Storms
    • [stat.AP]Template Matching Route Classification
    • [stat.ME]A faster and more accurate algorithm for calculating population genetics statistics requiring sums of Stirling numbers of the first kind
    • [stat.ME]Bessel regression model: Robustness to analyze bounded data
    • [stat.ME]Estimation of within-study covariances in multivariate meta-analysis
    • [stat.ME]Machine Learning Treasury Yields
    • [stat.ME]Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse Problems
    • [stat.ML]Amortized variance reduction for doubly stochastic objectives
    • [stat.ML]Auditing ML Models for Individual Bias and Unfairness
    • [stat.ML]Convolutional Kernel Networks for Graph-Structured Data
    • [stat.ML]Error Estimation for Sketched SVD via the Bootstrap
    • [stat.ML]Estimation of Accurate and Calibrated Uncertainties in Deterministic models
    • [stat.ML]FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves
    • [stat.ML]KALE: When Energy-Based Learning Meets Adversarial Training
    • [stat.ML]Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
    • [stat.ML]Towards Clarifying the Theory of the Deconfounder

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    • [astro-ph.GA]A Catalogue of Locus Algorithm Pointings for Optimal Differential Photometry for 23,779 Quasars
    Oisín Creaner, Kevin Nolan, David Grennan, Niall Smith, Eugene Hickey
    http://arxiv.org/abs/2003.04590v2

    • [astro-ph.IM]The Locus Algorithm II: A robust software system to maximise the quality of fields of view for Differential Photometry
    Kevin Nolan, Eugene Hickey, Oisín Creaner
    http://arxiv.org/abs/2003.04574v2

    • [astro-ph.IM]The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry
    Oisń Creaner, Kevin Nolan, John Walsh, Eugene Hickey
    http://arxiv.org/abs/2003.04565v2

    • [cond-mat.mtrl-sci]Automated discovery of a robust interatomic potential for aluminum
    Justin S. Smith, Benjamin Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy Germann, Saryu Fensin, Kipton Barros
    http://arxiv.org/abs/2003.04934v1

    • [cs.AI]How the Brain might use Division
    Kieran Greer
    http://arxiv.org/abs/2003.05320v1

    • [cs.AI]Magic: the Gathering is as Hard as Arithmetic
    Stella Biderman
    http://arxiv.org/abs/2003.05119v1

    • [cs.AI]Optimizing Revenue while showing Relevant Assortments at Scale
    Theja Tulabandhula, Deeksha Sinha
    http://arxiv.org/abs/2003.04736v1

    • [cs.AI]Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems
    Nicolas Riesterer, Daniel Brand, Marco Ragni
    http://arxiv.org/abs/2003.05196v1

    • [cs.CL]A Benchmark for Systematic Generalization in Grounded Language Understanding
    Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake
    http://arxiv.org/abs/2003.05161v1

    • [cs.CL]Capturing document context inside sentence-level neural machine translation models with self-training
    Elman Mansimov, Gábor Melis, Lei Yu
    http://arxiv.org/abs/2003.05259v1

    • [cs.CL]Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages
    Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo
    http://arxiv.org/abs/2003.04419v2

    • [cs.CL]TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
    Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki
    http://arxiv.org/abs/2003.05002v1

    • [cs.CL]Vector symbolic architectures for context-free grammars
    Peter beim Graben, Markus Huber, Werner Meyer, Ronald Römer, Constanze Tschöpe, Matthias Wolff
    http://arxiv.org/abs/2003.05171v1

    • [cs.CR]ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition
    Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato
    http://arxiv.org/abs/2003.05328v1

    • [cs.CR]IoT Expunge: Implementing Verifiable Retention of IoT Data
    Nisha Panwar, Shantanu Sharma, Peeyush Gupta, Dhrubajyoti Ghosh, Sharad Mehrotra, Nalini Venkatasubramanian
    http://arxiv.org/abs/2003.04969v1

    • [cs.CR]TEDL: A Text Encryption Method Based on Deep Learning
    Xiang Li, Peng Wang
    http://arxiv.org/abs/2003.04038v2

    • [cs.CV]A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection
    Asma Khatun, Sk. Golam Sarowar Hossain
    http://arxiv.org/abs/2003.05209v1

    • [cs.CV]Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
    Guangnan Wu, Zhiyi Pan, Peng Jiang, Changhe T
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    u
    http://arxiv.org/abs/2003.05420v1

    • [cs.CV]CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing
    Ajian Li, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li
    http://arxiv.org/abs/2003.05136v1

    • [cs.CV]Cars Can’t Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
    Sungha Choi, Joanne T. Kim, Jaegul Choo
    http://arxiv.org/abs/2003.05128v1

    • [cs.CV]Cascaded Human-Object Interaction Recognition
    Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen
    http://arxiv.org/abs/2003.04262v2

    • [cs.CV]Channel Interaction Networks for Fine-Grained Image Categorization
    Yu Gao, Xintong Han, Xun Wang, Weilin Huang, Matthew R. Scott
    http://arxiv.org/abs/2003.05235v1

    • [cs.CV]Cloth in the Wind: A Case Study of Physical Measurement through Simulation
    Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders
    http://arxiv.org/abs/2003.05065v1

    • [cs.CV]Equalization Loss for Long-Tailed Object Recognition
    Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan
    http://arxiv.org/abs/2003.05176v1

    • [cs.CV]GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency
    Dongming Yang, YueXian Zou, Jian Zhang, Ge Li
    http://arxiv.org/abs/2003.05242v1

    • [cs.CV]HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation
    Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu
    http://arxiv.org/abs/2003.04894v1

    • [cs.CV]Hierarchical Human Parsing with Typed Part-Relation Reasoning
    Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao
    http://arxiv.org/abs/2003.04845v2

    • [cs.CV]How Powerful Are Randomly Initialized Pointcloud Set Functions?
    Aditya Sanghi, Pradeep Kumar Jayaraman
    http://arxiv.org/abs/2003.05410v1

    • [cs.CV]Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration
    Dominique Beaini, Sofiane Achiche, Maxime Raison
    http://arxiv.org/abs/2003.05182v1

    • [cs.CV]Keyfilter-Aware Real-Time UAV Object Tracking
    Yiming Li, Changhong Fu, Ziyuan Huang, Yinqiang Zhang, Jia Pan
    http://arxiv.org/abs/2003.05218v1

    • [cs.CV]LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images
    Shan Lin, Fangbo Qin, Yangming Li, Randall A. Bly, Kris S. Moe, Blake Hannaford
    http://arxiv.org/abs/2003.04949v1

    • [cs.CV]Learning Diverse Fashion Collocation by Neural Graph Filtering
    Xin Liu, Yongbin Sun, Ziwei Liu, Dahua Lin
    http://arxiv.org/abs/2003.04888v1

    • [cs.CV]Learning Video Object Segmentation from Unlabeled Videos
    Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven C. H. Hoi
    http://arxiv.org/abs/2003.05020v1

    • [cs.CV]Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training
    Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, Yoko Sasaki
    http://arxiv.org/abs/2003.05093v1

    • [cs.CV]Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
    Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Yuxin Shi
    http://arxiv.org/abs/2003.04655v2

    • [cs.CV]PL${}_{1}$P — Point-line Minimal Problems under Partial Visibility in Three Views
    Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla
    http://arxiv.org/abs/2003.05015v1

    • [cs.CV]PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment
    Sian-Yao Huang, Wei-Ta Chu
    http://arxiv.org/abs/2003.05112v1

    • [cs.CV]Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
    Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot Siegel
    http://arxiv.org/abs/2003.05037v1

    • [cs.CV]Regularized Adaptation for Stable and Efficient Continuous-Level Learning
    Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee
    http://arxiv.org/abs/2003.05145v1

    • [cs.CV]Rethinking Image Mixture for Unsupervised Visual Representation Learning
    Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell
    http://arxiv.org/abs/2003.05438v1

    • [cs.CV]SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification
    Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian Lovell
    http://arxiv.org/abs/2003.05080v1

    • [cs.CV]Semi-Local 3D Lane Detection and Uncertainty Estimation
    Netalee Efrat, Max Bluvstein, Noa Garnett, Dan Levi, Shaul Oron, Bat El Shlomo
    http://arxiv.org/abs/2003.05257v1

    • [cs.CV]SuperMix: Supervising the Mixing Data Augmentation
    Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi
    http://arxiv.org/abs/2003.05034v1

    • [cs.CV]Tidying Deep Saliency Prediction Architectures
    Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi
    http://arxiv.org/abs/2003.04942v1

    • [cs.CV]Training-Set Distillation for Real-Time UAV Object Tracking
    Fan Li, Changhong Fu, Fuling Lin, Yiming Li, Peng Lu
    http://arxiv.org/abs/2003.05326v1

    • [cs.CV]Uncertainty depth estimation with gated images for 3D reconstruction
    Stefanie Walz, Tobias Gruber, Werner Ritter, Klaus Dietmayer
    http://arxiv.org/abs/2003.05122v1

    • [cs.CV]Using an ensemble color space model to tackle adversarial examples
    Shreyank N Gowda, Chun Yuan
    http://arxiv.org/abs/2003.05005v1

    • [cs.CV]Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning
    Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
    http://arxiv.org/abs/2003.05162v1

    • [cs.CV]Visual Grounding in Video for Unsupervised Word Translation
    Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
    http://arxiv.org/abs/2003.05078v1

    • [cs.CV]xCos: An Explainable Cosine Metric for Face Verification Task
    Yu-Sheng Lin, Zhe-Yu Liu, Yu-An Chen, Yu-Siang Wang, Hsin-Ying Lee, Yi-Rong Chen, Ya-Liang Chang, Winston H. Hsu
    http://arxiv.org/abs/2003.05383v1

    • [cs.CY]Predicting the Amount of GDPR Fines
    Jukka Ruohonen, Kalle Hjerppe
    http://arxiv.org/abs/2003.05151v1

    • [cs.DB]Crop Knowledge Discovery Based on Agricultural Big Data Integration
    Vuong M. Ngo, M-Tahar Kechadi
    http://arxiv.org/abs/2003.05043v1

    • [cs.DB]Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case
    Raphael Thiago, Renan Souza, L. Azevedo, E. Soares, Rodrigo Santos, Wallas Santos, Max De Bayser, M. Cardoso, M. Moreno, Renato Cerqueira
    http://arxiv.org/abs/2003.04915v1

    • [cs.DC]Evaluating Abstract Asynchronous Schwarz solvers
    Pratik Nayak, Terry Cojean, Hartwig Anzt
    http://arxiv.org/abs/2003.05361v1

    • [cs.DC]RealityCheck: Bringing Modularity, Hierarchy, and Abstraction to Automated Microarchitectural Memory Consistency Verification
    Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi
    http://arxiv.org/abs/2003.04892v1

    • [cs.DC]Scaling Hyperledger Fabric Using Pipelined Execution and Sparse Peers
    Parth Thakkar, Senthil Nathan
    http://arxiv.org/abs/2003.05113v1

    • [cs.IR]Entity Extraction from Wikipedia List Pages
    Nicolas Heist, Heiko Paulheim
    http://arxiv.org/abs/2003.05146v1

    • [cs.IR]Text classification with word embedding regularization and soft similarity measure
    Vít Novotný, Eniafe Festus Ayetiran, Michal Štefánik, Petr Sojka
    http://arxiv.org/abs/2003.05019v1

    • [cs.IT]A Practical Approach to Navigating the Tradeoff Between Privacy and Precise Utility
    Chandra Sharma, George Amariucai
    http://arxiv.org/abs/2003.04916v1

    • [cs.IT]Beam Designs for Millimeter-Wave Backhaul with Dual-Polarized Uniform Planar Arrays
    Sucheol Kim, Junil Choi, Jiho Song
    http://arxiv.org/abs/2003.05053v1

    • [cs.IT]Beyond the Guruswami-Sudan (and Parvaresh-Vardy) Radii: Folded Reed-Solomon, Multiplicity and Derivative Codes
    Neophytos Charalambides
    http://arxiv.org/abs/2003.05400v1

    • [cs.IT]Coded Caching in Multi-server System with Random Topology
    Nitish Mital, Deniz Gunduz, Cong Ling
    http://arxiv.org/abs/2003.05058v1

    • [cs.IT]Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
    Dingzhu Wen, Mehdi Bennis, Kaibin Huang
    http://arxiv.org/abs/2003.04544v2

    • [cs.IT]New Self-Dual Codes of length 68 from a 2 by 2 block matrix Construction and Group Rings
    Maria Bortos, Joe Gildea, Abidin Kaya, Adrian Korban, Alexander Tylyshchak
    http://arxiv.org/abs/2003.05064v1

    • [cs.IT]On the Effect of Correlation on the Capacity of Backscatter Communication Systems
    J. L. Matez-Bandera, P. Ramirez-Espinosa, J. D. Vega-Sanchez, F. J. Lopez-Martinez
    http://arxiv.org/abs/2003.05375v1

    • [cs.LG]$Q^\star$ Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
    Tengyang Xie, Nan Jiang
    http://arxiv.org/abs/2003.03924v2

    • [cs.LG]Building and Interpreting Deep Similarity Models
    Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon
    http://arxiv.org/abs/2003.05431v1

    • [cs.LG]Closure Properties for Private Classification and Online Prediction
    Noga Alon, Amos Beimel, Shay Moran, Uri Stemmer
    http://arxiv.org/abs/2003.04509v2

    • [cs.LG]Context-aware Non-linear and Neural Attentive Knowledge-based Models for Grade Prediction
    Sara Morsy, George Karypis
    http://arxiv.org/abs/2003.05063v1

    • [cs.LG]Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
    Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
    http://arxiv.org/abs/2003.04960v1

    • [cs.LG]Delay-Adaptive Learning in Generalized Linear Contextual Bandits
    Jose Blanchet, Renyuan Xu, Zhengyuan Zhou
    http://arxiv.org/abs/2003.05174v1

    • [cs.LG]Fairness by Explicability and Adversarial SHAP Learning
    James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou
    http://arxiv.org/abs/2003.05330v1

    • [cs.LG]Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
    Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling
    http://arxiv.org/abs/2003.05425v1

    • [cs.LG]Gaussian Graphical Model exploration and selection in high dimension low sample size setting
    Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière
    http://arxiv.org/abs/2003.05169v1

    • [cs.LG]Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches
    Naeem Paeedeh, Kamaledin Ghiasi-Shirazi
    http://arxiv.org/abs/2003.05164v1

    • [cs.LG]Imputing Missing Boarding Stations With Machine Learning Methods
    Nadav Shalit, Michael Fire, Eran Ben Elia
    http://arxiv.org/abs/2003.05285v1

    • [cs.LG]Industrial Scale Privacy Preserving Deep Neural Network
    Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang
    http://arxiv.org/abs/2003.05198v1

    • [cs.LG]Kernel Quantization for Efficient Network Compression
    Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu
    http://arxiv.org/abs/2003.05148v1

    • [cs.LG]Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
    Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto
    http://arxiv.org/abs/2003.05436v1

    • [cs.LG]Meta-learning curiosity algorithms
    Ferran Alet, Martin F. Schneider, Tomas Lozano-Perez, Leslie Pack Kaelbling
    http://arxiv.org/abs/2003.05325v1

    • [cs.LG]Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance
    Ali Anaissi, Seid Miad Zandavi
    http://arxiv.org/abs/2003.05070v1

    • [cs.LG]Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
    Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales
    http://arxiv.org/abs/2003.05334v1

    • [cs.LG]Tensorized Random Projections
    Beheshteh T. Rakhshan, Guillaume Rabusseau
    http://arxiv.org/abs/2003.05101v1

    • [cs.LG]The MineRL Competition on Sample-Efficient Reinforcement Learning Using Human Priors: A Retrospective
    Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Oriol Vinyals, Noboru Sean Kuno
    http://arxiv.org/abs/2003.05012v1

    • [cs.LG]Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
    Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Mueller
    http://arxiv.org/abs/2003.05155v1

    • [cs.LG]Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees
    Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass
    http://arxiv.org/abs/2003.04675v2

    • [cs.LG]Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems
    Dimitrios Boursinos, Xenofon Koutsoukos
    http://arxiv.org/abs/2003.05107v1

    • [cs.MM]Exploring the Role of Visual Content in Fake News Detection
    Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, Jintao Li
    http://arxiv.org/abs/2003.05096v1

    • [cs.NE]Interpolated Adjoint Method for Neural ODEs
    Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan Oseledets
    http://arxiv.org/abs/2003.05271v1

    • [cs.NE]Neural Networks are Surprisingly Modular
    Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
    http://arxiv.org/abs/2003.04881v2

    • [cs.NE]hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
    Ehsan Kharazmi, Zhongqiang Zhang, George Em Karniadakis
    http://arxiv.org/abs/2003.05385v1

    • [cs.NI]Machine Learning for Intelligent Optical Networks: A Comprehensive Survey
    Rentao Gu, Zeyuan Yang, Yuefeng Ji
    http://arxiv.org/abs/2003.05290v1

    • [cs.RO]3-Survivor: A Rough Terrain Negotiable Teleoperated Mobile Rescue Robot with Passive Control Mechanism
    R. A. Bindu, A. A. Neloy, S. Alam, S. Siddique
    http://arxiv.org/abs/2003.05224v1

    • [cs.RO]A Fractional-Order Normalized Bouc-Wen Model for Piezoelectric Hysteresis Nonlinearity
    Shengzheng Kang, Hongtao Wu, Yao Li, Shengdong Yu, Xiaolong Yang, Jiafeng Yao
    http://arxiv.org/abs/2003.04917v1

    • [cs.RO]A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling
    Songpo Li, Michael Bowman, Xiaoli Zhang
    http://arxiv.org/abs/2003.05097v1

    • [cs.RO]A Methodology for Automating Assurance Case Generation
    Shreyas Ramakrishna, Charles Hartsell, Abhishek Dubey, Partha Pal, Gabor Karsai
    http://arxiv.org/abs/2003.05388v1

    • [cs.RO]A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
    Shuang Li, Jiaxi Jiang, Philipp Ruppel, Hongzhuo Liang, Xiaojian Ma, Norman Hendrich, Fuchun Sun, Jianwei Zhang
    http://arxiv.org/abs/2003.05212v1

    • [cs.RO]Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments
    Stewart Jamieson, Jonathan P. How, Yogesh Girdhar
    http://arxiv.org/abs/2003.05016v1

    • [cs.RO]Adaptive Neural Trajectory Tracking Control for Flexible-Joint Robots with Online Learning
    Shuyang Chen, John Wen
    http://arxiv.org/abs/2003.05426v1

    • [cs.RO]Decentralized Visual-Inertial-UWB Fusion for Relative State Estimation of Aerial Swarm
    Hao Xu, Luqi Wang, Yichen Zhang, Kejie Qiu, Shaojie Shen
    http://arxiv.org/abs/2003.05138v1

    • [cs.RO]Development of a Robotic System for Automated Decaking of 3D-Printed Parts
    Huy Nguyen, Nicholas Adrian, Joyce Lim Xin Yan, Jonathan M. Salfity, William Allen, Quang-Cuong Pham
    http://arxiv.org/abs/2003.05115v1

    • [cs.RO]Explainable Agents Through Social Cues: A Review
    Sebastian Wallkotter, Silvia Tulli, Ginevra Castellano, Ana Paiva, Mohamed Chetouani
    http://arxiv.org/abs/2003.05251v1

    • [cs.RO]Fast and Accurate Mapping for Autonomous Racing
    Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias Bürki, Martin R. Oswald, Roland Siegwart, Abel Gawel
    http://arxiv.org/abs/2003.05266v1

    • [cs.RO]FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow
    Tianwei Zhang, Huayan Zhang, Yang Li, Yoshihiko Nakamura, Lei Zhang
    http://arxiv.org/abs/2003.05102v1

    • [cs.RO]Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds
    Adarsh Jagan Sathyamoorthy, Utsav Patel, Tianrui Guan, Dinesh Manocha
    http://arxiv.org/abs/2003.05395v1

    • [cs.RO]GPU Parallelization of Policy Iteration RRT#
    R. Connor Lawson, Linda Wills, Panagiotis Tsiotras
    http://arxiv.org/abs/2003.04920v1

    • [cs.RO]Hundred Drones Land in a Minute
    Daiki Fujikura, Kenjiro Tadakuma, Masahiro Watanabe, Yoshito Okada, Kazunori Ohno, Satoshi Tadokoro
    http://arxiv.org/abs/2003.05127v1

    • [cs.RO]Learning State-Dependent Losses for Inverse Dynamics Learning
    Kristen Morse, Neha Das, Yixin Lin, Austin Wang, Akshara Rai, Franziska Meier
    http://arxiv.org/abs/2003.04947v1

    • [cs.RO]Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments
    Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf
    http://arxiv.org/abs/2003.05117v1

    • [cs.RO]Optimization-Based Hierarchical Motion Planning for Autonomous Racing
    José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros
    http://arxiv.org/abs/2003.04882v2

    • [cs.RO]Retraction Mechanism of Soft Torus Robot with a Hydrostatic Skeleton
    Tomoya Takahashi, Masahiro Watanabe, Kenjiro Tadakuma, Masashi Konyo, Satoshi Tadokoro
    http://arxiv.org/abs/2003.05120v1

    • [cs.RO]SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
    Bohan Wu, Feng Xu, Zhanpeng He, Abhi Gupta, Peter K. Allen
    http://arxiv.org/abs/2003.04956v1

    • [cs.RO]Self-supervised Point Set Local Descriptors for Point Cloud Registration
    Yijun Yuan, Jiawei Hou, Andreas Nüchter, Sören Schwertfeger
    http://arxiv.org/abs/2003.05199v1

    • [cs.RO]Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
    Mohit Srinivasan, Amogh Dabholkar, Samuel Coogan, Patricio Vela
    http://arxiv.org/abs/2003.04950v1

    • [cs.SE]A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction
    Teruki Hayakawa. Masateru Tsunoda, Koji Toda, Keitaro Nakasai, Kenichi Matsumoto
    http://arxiv.org/abs/2003.05094v1

    • [cs.SE]Research Directions for Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems
    Silverio Martínez-Fernández, Xavier Franch, Andreas Jedlitschka, Marc Oriol, Adam Trendowicz
    http://arxiv.org/abs/2003.05434v1

    • [cs.SI]Combined Centrality Measures for an Improved Characterization of Influence Spreadin Social Networks
    Mehmet Simsek, Henning Meyerhenke
    http://arxiv.org/abs/2003.05254v1

    • [cs.SI]Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia
    Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo, Giacomo Fiumara, Salvatore Catanese, Ovidiu Bagdasar, Antonio Liotta
    http://arxiv.org/abs/2003.05303v1

    • [cs.SI]Enterprise Social Networks as Digital Infrastructures — Understanding the Utilitarian Value of Social Media at the Workplace
    Christian Meske, Konstantin Wilms, Stefan Stieglitz
    http://arxiv.org/abs/2003.05240v1

    • [cs.SI]The COVID-19 Social Media Infodemic
    Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi, Carlo Michele Valensise, Emanuele Brugnoli, Ana Lucia Schmidt, Paola Zola, Fabiana Zollo, Antonio Scala
    http://arxiv.org/abs/2003.05004v1

    • [cs.SI]Variable-Based Network Analysis of Datasets on Data Exchange Platforms
    Teruaki Hayashi, Yukio Ohsawa
    http://arxiv.org/abs/2003.05109v1

    • [econ.EM]A mixture autoregressive model based on Gaussian and Student’s $t$-distributions
    Savi Virolainen
    http://arxiv.org/abs/2003.05221v1

    • [eess.IV]Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
    Olivier Vincent, Charley Gros, Joseph Paul Cohen, Julien Cohen-Adad
    http://arxiv.org/abs/2003.04377v2

    • [eess.IV]BP-DIP: A Backprojection based Deep Image Prior
    Jenny Zukerman, Tom Tirer, Raja Giryes
    http://arxiv.org/abs/2003.05417v1

    • [eess.IV]Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
    Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
    http://arxiv.org/abs/2003.04989v1

    • [eess.IV]Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
    Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy, Sergio Escalera
    http://arxiv.org/abs/2003.05056v1

    • [eess.IV]Spine intervertebral disc labeling using a fully convolutional redundant counting model
    Lucas Rouhier, Francisco Perdigon Romero, Joseph Paul Cohen, Julien Cohen-Adad
    http://arxiv.org/abs/2003.04387v2

    • [eess.SP]Distributed Deep Convolutional Compression for Massive MIMO CSI Feedback
    Qianqian Yang, Mahdi Boloursaz Mashhadi, Deniz Gunduz
    http://arxiv.org/abs/2003.04684v1

    • [math.OC]Coordinate-wise Armijo’s condition: General case
    Tuyen Trung Truong
    http://arxiv.org/abs/2003.05252v1

    • [math.OC]Majorization Minimization Methods to Distributed Pose Graph Optimization with Convergence Guarantees
    Taosha Fan, Todd Murphey
    http://arxiv.org/abs/2003.05353v1

    • [math.PR]Adaptive estimation of the stationary density of a stochastic differential equation driven by a fractional Brownian motion
    Karine Bertin, Nicolas Klutchnikoff, Fabien Panloup, Maylis Varvenne
    http://arxiv.org/abs/2003.05167v1

    • [math.ST]Analysis and applications of the residual varentropy of random lifetimes
    Antonio Di Crescenzo, Luca Paolillo
    http://arxiv.org/abs/2003.04932v1

    • [math.ST]Estimation and Inference of Time-Varying Auto-Covariance under Complex Trend: A Difference-based Approach
    Yan Cui, Michael Levine, Zhou Zhou
    http://arxiv.org/abs/2003.05006v1

    • [math.ST]Modeling temporally uncorrelated components for complex-valued stationary processes
    Niko Lietzén, Lauri Viitasaari, Pauliina Ilmonen
    http://arxiv.org/abs/2003.04199v2

    • [physics.comp-ph]Integrating Physics-Based Modeling with Machine Learning: A Survey
    Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach, Vipin Kumar
    http://arxiv.org/abs/2003.04919v1

    • [physics.med-ph]Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images
    Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das, Mandira Saha, Sanjoy Chatterjee, Raj Kumar Shrimali, Soumendranath Ray, Sriram Prasath
    http://arxiv.org/abs/2003.05408v1

    • [q-bio.BM]Mapping active allosteric loci SARS-CoV Spike Proteins by means of Protein Contact Networks
    Luisa Di Paola, Alessandro Giuliani
    http://arxiv.org/abs/2003.05200v1

    • [q-bio.QM]A new method for faster and more accurate inference of species associations from novel community data
    Maximilian Pichler, Florian Hartig
    http://arxiv.org/abs/2003.05331v1

    • [stat.AP]A spatio-temporal model to understand forest fires causality in Europe
    Oscar Rodriguez de Rivera, Antonio López-Quílez, Marta Blangiardo, Martyna Wasilewska
    http://arxiv.org/abs/2003.05227v1

    • [stat.AP]A spatiotemporal recommendation engine for malaria control
    Qian Guan, Brian J. Reich, Eric B. Laber
    http://arxiv.org/abs/2003.05084v1

    • [stat.AP]Individual-Level Modelling of Infectious Disease Data: EpiILM
    Vineetha Warriyar K. V., Waleed Almutiry, Rob Deardon
    http://arxiv.org/abs/2003.04963v1

    • [stat.AP]New stochastic highway capacity estimation method and why product limit method is unsuitable
    Igor Mikolasek
    http://arxiv.org/abs/2003.05355v1

    • [stat.AP]Prediction of Bayesian Intervals for Tropical Storms
    Max Chiswick, Sam Ganzfried
    http://arxiv.org/abs/2003.05024v1

    • [stat.AP]Template Matching Route Classification
    Mitchell Kinney
    http://arxiv.org/abs/2003.05428v1

    • [stat.ME]A faster and more accurate algorithm for calculating population genetics statistics requiring sums of Stirling numbers of the first kind
    Swaine L. Chen, Nico M. Temme
    http://arxiv.org/abs/2003.05228v1

    • [stat.ME]Bessel regression model: Robustness to analyze bounded data
    Wagner Barreto-Souza, Vinícius D. Mayrink, Alexandre B. Simas
    http://arxiv.org/abs/2003.05157v1

    • [stat.ME]Estimation of within-study covariances in multivariate meta-analysis
    Xiaohuan Xue
    http://arxiv.org/abs/2003.05092v1

    • [stat.ME]Machine Learning Treasury Yields
    Zura Kakushadze, Willie Yu
    http://arxiv.org/abs/2003.05095v1

    • [stat.ME]Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse Problems
    Ajay Jasra, Kody J. H. Law, Deng Lu
    http://arxiv.org/abs/2003.04896v1

    • [stat.ML]Amortized variance reduction for doubly stochastic objectives
    Ayman Boustati, Sattar Vakili, James Hensman, ST John
    http://arxiv.org/abs/rg/abs/2003.04125v1

    • [stat.ML]Auditing ML Models for Individual Bias and Unfairness
    Songkai Xue, Mikhail Yurochkin, Yuekai Sun
    http://arxiv.org/abs/2003.05048v1

    • [stat.ML]Convolutional Kernel Networks for Graph-Structured Data
    Dexiong Chen, Laurent Jacob, Julien Mairal
    http://arxiv.org/abs/2003.05189v1

    • [stat.ML]Error Estimation for Sketched SVD via the Bootstrap
    Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
    http://arxiv.org/abs/2003.04937v1

    • [stat.ML]Estimation of Accurate and Calibrated Uncertainties in Deterministic models
    Enrico Camporeale, Algo Carè
    http://arxiv.org/abs/2003.05103v1

    • [stat.ML]FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves
    Boxin Zhao, Y. Samuel Wang, Mladen Kolar
    http://arxiv.org/abs/2003.05402v1

    • [stat.ML]KALE: When Energy-Based Learning Meets Adversarial Training
    Michael Arbel, Liang Zhou, Arthur Gretton
    http://arxiv.org/abs/2003.05033v1

    • [stat.ML]Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
    Hideaki Imamura, Nontawat Charoenphakdee, Futoshi Futami, Issei Sato, Junya Honda, Masashi Sugiyama
    http://arxiv.org/abs/2003.04691v2

    • [stat.ML]Towards Clarifying the Theory of the Deconfounder
    Yixin Wang, David M. Blei

    http://arxiv.org/abs/2003.04948v1