astro-ph.IM - 仪器仪表和天体物理学方法 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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 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.SD - 声音处理 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.SY - 系统和控制 math-ph - 数学物理 math.DS - 动力系统 math.OC - 优化与控制 math.ST - 统计理论 nucl-th - 核理论 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Advances in Deep Space Exploration via Simulators & Deep Learning
    • [cs.AI]Static and Dynamic Values of Computation in MCTS
    • [cs.CL]Automatic Discourse Segmentation: an evaluation in French
    • [cs.CL]Learning Coupled Policies for Simultaneous Machine Translation
    • [cs.CL]Mining Commonsense Facts from the Physical World
    • [cs.CL]Non-Autoregressive Neural Dialogue Generation
    • [cs.CL]Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets
    • [cs.CL]ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
    • [cs.CL]The Rumour Mill: Making Misinformation Spread Visible and Tangible
    • [cs.CL]Training with Streaming Annotation
    • [cs.CR]Cybersecurity for Industrial Control Systems: A Survey
    • [cs.CR]Data User-Based Attribute-Based Encryption
    • [cs.CR]Infnote: A Decentralized Information Sharing Platform Based on Blockchain
    • [cs.CV]A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images
    • [cs.CV]A Survey On 3D Inner Structure Prediction from its Outer Shape
    • [cs.CV]Background Matting
    • [cs.CV]Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)
    • [cs.CV]Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
    • [cs.CV]Diversity-Achieving Slow-DropBlock Network for Person Re-Identification
    • [cs.CV]Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition
    • [cs.CV]Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning
    • [cs.CV]Learning to Incorporate Structure Knowledge for Image Inpainting
    • [cs.CV]Outlier Guided Optimization of Abdominal Segmentation
    • [cs.CV]Saliency Enhancement using Gradient Domain Edges Merging
    • [cs.CV]Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data
    • [cs.CV]Self-Supervised Linear Motion Deblurring
    • [cs.CV]Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
    • [cs.CV]Sperm detection and tracking in phase-contrast microscopy image sequences using deep learning and modified CSR-DCF
    • [cs.CV]The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
    • [cs.CV]Thermal to Visible Face Recognition Using Deep Autoencoders
    • [cs.CV]Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach
    • [cs.CV]Upper, Middle and Lower Region Learning for Facial Action Unit Detection
    • [cs.CV]Vision-based Fight Detection from Surveillance Cameras
    • [cs.DC]A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service
    • [cs.DC]A Simple and Efficient Asynchronous Randomized Binary Byzantine Consensus Algorithm
    • [cs.DC]AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
    • [cs.DC]AnySeq: A High Performance Sequence Alignment Library based on Partial Evaluation
    • [cs.DC]Performance Modeling and Analysis of a Hyperledger-based System Using GSPN
    • [cs.DC]WatchDog: Real-time Vehicle Tracking on Geo-distributed Edge Nodes
    • [cs.DC]pSPICE: Partial Match Shedding for Complex Event Processing
    • [cs.DL]Testing of Support Tools for Plagiarism Detection
    • [cs.HC]First Directions for Using Gamification to Motivate for Open Access
    • [cs.HC]Human-Centered Artificial Intelligence: Trusted, Reliable & Safe
    • [cs.HC]Leveraging Rationales to Improve Human Task Performance
    • [cs.IR]Exact Indexing of Time Series under Dynamic Time Warping
    • [cs.IT]Area Spectral Efficiency and SINR Scaling Laws in Multi-Antenna Cellular Networks
    • [cs.IT]Edge Cache-assisted Secure Low-Latency Millimeter Wave Transmission
    • [cs.IT]Energy and Spectral Efficiency Tradeoff in OFDMA Networks via Antenna Selection Strategy
    • [cs.IT]Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications with SWIPT
    • [cs.IT]Joint Beamforming And Power Splitting Design For C-RAN With Multicast Fronthaul
    • [cs.IT]Limited memory predictors with compact explicit representations
    • [cs.IT]On Throughput of Millimeter Wave MIMO Systems with Low Resolution ADCs
    • [cs.IT]On the Communication Latency of Wireless Decentralized Learning
    • [cs.IT]Probabilistic Forwarding of Coded Packets on Networks
    • [cs.IT]Secure Millimeter Wave Cloud Radio Access Networks Relying on Microwave Multicast Fronthaul
    • [cs.IT]Task-Based Quantization with Application to MIMO Receivers
    • [cs.LG]A review on outlier/anomaly detection in time series data
    • [cs.LG]A study of local optima for learning feature interactions using neural networks
    • [cs.LG]Adversarial Filters of Dataset Biases
    • [cs.LG]Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization
    • [cs.LG]Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
    • [cs.LG]Compositional Embeddings for Multi-Label One-Shot Learning
    • [cs.LG]Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
    • [cs.LG]Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages
    • [cs.LG]Decisions, Counterfactual Explanations and Strategic Behavior
    • [cs.LG]Efficiently Learning and Sampling Interventional Distributions from Observations
    • [cs.LG]Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
    • [cs.LG]Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
    • [cs.LG]Feature Importance Estimation with Self-Attention Networks
    • [cs.LG]Fine-grained Uncertainty Modeling in Neural Networks
    • [cs.LG]ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting
    • [cs.LG]Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
    • [cs.LG]Generalised Lipschitz Regularisation Equals Distributional Robustness
    • [cs.LG]Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
    • [cs.LG]Generalized Kernel-Based Dynamic Mode Decomposition
    • [cs.LG]Graph Convolutional Gaussian Processes For Link Prediction
    • [cs.LG]Hyper-Meta Reinforcement Learning with Sparse Reward
    • [cs.LG]Improving the affordability of robustness training for DNNs
    • [cs.LG]Incremental Fast Subclass Discriminant Analysis
    • [cs.LG]Incremental Learning for Metric-Based Meta-Learners
    • [cs.LG]Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations
    • [cs.LG]Learning Structured Communication for Multi-agent Reinforcement Learning
    • [cs.LG]Learning to Switch Between Machines and Humans
    • [cs.LG]Lifting Interpretability-Performance Trade-off via Automated Feature Engineering
    • [cs.LG]Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo
    • [cs.LG]Machine Learning Approaches For Motor Learning: A Short Review
    • [cs.LG]Meta-Learning across Meta-Tasks for Few-Shot Learning
    • [cs.LG]Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift
    • [cs.LG]Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks
    • [cs.LG]Objective Mismatch in Model-based Reinforcement Learning
    • [cs.LG]On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks
    • [cs.LG]Online Preselection with Context Information under the Plackett-Luce Model
    • [cs.LG]Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics
    • [cs.LG]Predicting drug properties with parameter-free machine learning: Pareto-Optimal Embedded Modeling (POEM)
    • [cs.LG]Q-Learning for Mean-Field Controls
    • [cs.LG]Robust Mean Estimation under Coordinate-level Corruption
    • [cs.LG]Robustness of Bayesian Neural Networks to Gradient-Based Attacks
    • [cs.LG]Smoothness and Stability in GANs
    • [cs.LG]To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
    • [cs.LG]Training Efficient Network Architecture and Weights via Direct Sparsity Control
    • [cs.LG]Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
    • [cs.MA]A Versatile Multi-Robot Monte Carlo Tree Search Planner for On-Line Coverage Path Planning
    • [cs.NE]A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem
    • [cs.NE]Dynamic Impact for Ant Colony Optimization algorithm
    • [cs.NE]Population-Based Training for Loss Function Optimization
    • [cs.NI]Engineering and Experimentally Benchmarking a Container-based Edge Computing System
    • [cs.NI]PULSE: Optical circuit switched Data Center architecture operating at nanosecond timescales
    • [cs.NI]Towards a distributed and infrastructure-less vehicular traffic management system
    • [cs.RO]Accelerated RRT* and its evaluation on Autonomous Parking
    • [cs.RO]Fast Frontier-based Information-driven Autonomous Exploration with an MAV
    • [cs.RO]Human-to-Robot Attention Transfer for Robot Execution Failure Avoidance Using Stacked Neural Networks
    • [cs.RO]Inference-Based Strategy Alignment for General-Sum Differential Games
    • [cs.RO]On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach
    • [cs.RO]Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills
    • [cs.RO]Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems
    • [cs.RO]Robot Navigation with Map-Based Deep Reinforcement Learning
    • [cs.RO]Visualizing Local Minima in Multi-Robot Motion Planning using Morse Theory
    • [cs.SD]Unsupervised Learning of Audio Perception for Robotics Applications: Learning to Project Data to T-SNE/UMAP space
    • [cs.SE]Automating App Review Response Generation
    • [cs.SI]A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
    • [cs.SI]A new generalization of edge overlap to weighted networks
    • [cs.SI]Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
    • [cs.SI]HGAT: Hierarchical Graph Attention Network for Fake News Detection
    • [cs.SI]Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams
    • [cs.SI]LoCEC: Local Community-based Edge Classification in Large Online Social Networks
    • [cs.SI]Vertex-reinforced Random Walk for Network Embedding
    • [econ.EM]Sequential Monitoring of Changes in Housing Prices
    • [eess.IV]2.75D Convolutional Neura
    8000
    l Network for Pulmonary Nodule Classification in Chest CT
    • [eess.IV]A Unified End-to-End Framework for Efficient Deep Image Compression
    • [eess.IV]Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
    • [eess.IV]Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images
    • [eess.IV]Folding-based compression of point cloud attributes
    • [eess.IV]HRINet: Alternative Supervision Network for High-resolution CT image Interpolation
    • [eess.IV]How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning?
    • [eess.IV]Reconstructing the Noise Manifold for Image Denoising
    • [eess.IV]Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives
    • [eess.SY]Adaptive Control Barrier Functions for Safety-Critical Systems
    • [math-ph]Proof of Sarkar-Kumar’s Conjectures on Average Entanglement Entropies over the Bures-Hall Ensemble
    • [math.DS]Symplectic Geometric Methods for Matrix Differential Equations Arising from Inertial Navigation Problems
    • [math.OC]Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
    • [math.OC]Self-concordant analysis of Frank-Wolfe algorithms
    • [math.ST]Minimax optimal goodness-of-fit testing for densities under a local differential privacy constraint
    • [math.ST]Sensitivity analysis in general metric spaces
    • [math.ST]Stochastic comparisons of lifetimes of series and parallel systems with dependent and heterogeneous components
    • [math.ST]Wasserstein Control of Mirror Langevin Monte Carlo
    • [nucl-th]Statistical aspects of nuclear mass models
    • [physics.data-an]Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data
    • [physics.soc-ph]Public discourse and social network echo chambers driven by socio-cognitive biases
    • [stat.AP]Personalized acute stress classification from physiological signals with neural processes
    • [stat.AP]The role of intrinsic dimension in high-resolution player tracking data — Insights in basketball
    • [stat.ME]A general Bayesian bootstrap for censored data based on the beta-Stacy process
    • [stat.ME]A sufficient condition for penalized polynomial regression to be invariant to translations of the predictor variables
    • [stat.ME]Conditional Modelling of Spatio-Temporal Extremes for Red Sea Surface Temperatures
    • [stat.ME]Dating the Break in High-dimensional Data
    • [stat.ME]Fixed-effects model: the most convincing model for meta-analysis with few studies
    • [stat.ME]Generalized Poisson Difference Autoregressive Processes
    • [stat.ME]Imbalanced classification: an objective-oriented review
    • [stat.ML]Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
    • [stat.ML]Finding manoeuvre motifs in vehicle telematics
    • [stat.ML]Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
    • [stat.ML]Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra
    • [stat.ML]On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
    • [stat.ML]Predicting Multidimensional Data via Tensor Learning
    • [stat.ML]Towards better understanding of meta-features contributions
    • [stat.ML]TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

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

    • [astro-ph.IM]Advances in Deep Space Exploration via Simulators & Deep Learning
    James Bird, Linda Petzold, Philip Lubin, Dulia Deacon
    http://arxiv.org/abs/2002.04051v1

    • [cs.AI]Static and Dynamic Values of Computation in MCTS
    Eren Sezener, Peter Dayan
    http://arxiv.org/abs/2002.04335v1

    • [cs.CL]Automatic Discourse Segmentation: an evaluation in French
    Rémy Saksik, Alejandro Molina-Villegas, Andréa Carneiro Linhares, Juan-Manuel Torres-Moreno
    http://arxiv.org/abs/2002.04095v1

    • [cs.CL]Learning Coupled Policies for Simultaneous Machine Translation
    Philip Arthur, Trevor Cohn, Gholamreza Haffari
    http://arxiv.org/abs/2002.04306v1

    • [cs.CL]Mining Commonsense Facts from the Physical World
    Yanyan Zou, Wei Lu, Xu Sun
    http://arxiv.org/abs/2002.03149v2

    • [cs.CL]Non-Autoregressive Neural Dialogue Generation
    Qinghong Han, Yuxian Meng, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2002.04250v1

    • [cs.CL]Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets
    Mona Jalal, Kate K. Mays, Lei Guo, Margrit Betke
    http://arxiv.org/abs/2002.04181v1

    • [cs.CL]ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
    Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng
    http://arxiv.org/abs/2002.04326v1

    • [cs.CL]The Rumour Mill: Making Misinformation Spread Visible and Tangible
    Nanna Inie, Jeanette Falk Olesen, Leon Derczynski
    http://arxiv.org/abs/2002.04494v1

    • [cs.CL]Training with Streaming Annotation
    Tongtao Zhang, Heng Ji, Shih-Fu Chang, Marjorie Freedman
    http://arxiv.org/abs/2002.04165v1

    • [cs.CR]Cybersecurity for Industrial Control Systems: A Survey
    Deval Bhamare, Maede Zolanvari, Aiman Erbad, Raj Jain, Khaled Khan, Nader Meskin
    http://arxiv.org/abs/2002.04124v1

    • [cs.CR]Data User-Based Attribute-Based Encryption
    Ehsan Meamari, Hao Guo, Chien-Chung Shen, Rui Zhang
    http://arxiv.org/abs/2002.04427v1

    • [cs.CR]Infnote: A Decentralized Information Sharing Platform Based on Blockchain
    Haoqian Zhang, Yancheng Zhao, Abhishek Paryani, Ke Yi
    http://arxiv.org/abs/2002.04533v1

    • [cs.CV]A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images
    Zhengdong Zhang, Shuai Li, Ziyang Wang, Yun Lu
    http://arxiv.org/abs/2002.04493v1

    • [cs.CV]A Survey On 3D Inner Structure Prediction from its Outer Shape
    Mohamed Mejri, Antoine Richard, Cédric Pradalier
    http://arxiv.org/abs/2002.04571v1

    • [cs.CV]Background Matting
    Hossein Javidnia, François Pitié
    http://arxiv.org/abs/2002.04433v1

    • [cs.CV]Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)
    Qingyu Li, Yilei Shi, Xin Huang, Xiao Xiang Zhu
    http://arxiv.org/abs/2002.04600v1

    • [cs.CV]Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
    Guan-An Wang, Tianzhu Zhang. Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguang Hou
    http://arxiv.org/abs/2002.04114v1

    • [cs.CV]Diversity-Achieving Slow-DropBlock Network for Person Re-Identification
    Xiaofu Wu, Ben Xie, Shiliang Zhao, Suofei Zhang, Yong Xiao, Ming Li
    http://arxiv.org/abs/2002.04414v1

    • [cs.CV]Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition
    George Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache
    http://arxiv.org/abs/2002.04206v1

    • [cs.CV]Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning
    Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian Reid
    http://arxiv.org/abs/2002.04227v1

    • [cs.CV]Learning to Incorporate Structure Knowledge for Image Inpainting
    Jie Yang, Zhiquan Qi, Yong Shi
    http://arxiv.org/abs/2002.04170v1

    • [cs.CV]Outlier Guided Optimization of Abdominal Segmentation
    Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
    http://arxiv.org/abs/2002.04098v1

    • [cs.CV]Saliency Enhancement using Gradient Domain Edges Merging
    Dominique Beaini, Sofiane Achiche, Alexandre Duperre, Maxime Raison
    http://arxiv.org/abs/2002.04380v1

    • [cs.CV]Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data
    Seunghyeok Back, Jongwon Kim, Raeyong Kang, Seungjun Choi, Kyoobin Lee
    http://arxiv.org/abs/2002.03501v2

    • [cs.CV]Self-Supervised Linear Motion Deblurring
    Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger
    http://arxiv.org/abs/2002.04070v1

    • [cs.CV]Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
    Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
    http://arxiv.org/abs/2002.04487v1

    • [cs.CV]Sperm detection and tracking in phase-contrast microscopy image sequences using deep learning and modified CSR-DCF
    Mohammad reza Mohammadi, Mohammad Rahimzadeh, Abolfazl Attar
    http://arxiv.org/abs/2002.04034v1

    • [cs.CV]The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
    Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song
    http://arxiv.org/abs/2002.04264v1

    • [cs.CV]Thermal to Visible Face Recognition Using Deep Autoencoders
    Alperen Kantarcı, Hazım Kemal Ekenel
    http://arxiv.org/abs/2002.04219v1

    • [cs.CV]Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach
    Dario Zanca, Stefano Melacci, Marco Gori
    http://arxiv.org/abs/2002.04407v1

    • [cs.CV]Upper, Middle and Lower Region Learning for Facial Action Unit Detection
    Yao Xia
    http://arxiv.org/abs/2002.04023v2

    • [cs.CV]Vision-based Fight Detection from Surveillance Cameras
    Şeymanur Aktı, Gözde Ayşe Tataroğlu, Hazım Kemal Ekenel
    http://arxiv.org/abs/2002.04355v1

    • [cs.DC]A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service
    Hussain Al-Aqrabi, Lu Liu, Richard Hill, Nick Antonopoulos
    http://arxiv.org/abs/2002.04047v1

    • [cs.DC]A Simple and Efficient Asynchronous Randomized Binary Byzantine Consensus Algorithm
    Tyler Crain
    http://arxiv.org/abs/2002.04393v1

    • [cs.DC]AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
    Tianshu Hao, Jianfeng Zhan, Kai Hwang, Wanling Gao, Xu Wen
    http://arxiv.org/abs/2002.03493v1

    • [cs.DC]AnySeq: A High Performance Sequence Alignment Library based on Partial Evaluation
    André Müller, Bertil Schmidt, Andreas Hildebrandt, Richard Membarth, Roland Leißa, Matthis Kruse, Sebastian Hack
    http://arxiv.org/abs/2002.04561v1

    • [cs.DC]Performance Modeling and Analysis of a Hyperledger-based System Using GSPN
    Pu Yuan, Kan Zheng, Xiong Xiong, Kuan Zhang, Lei Lei
    http://arxiv.org/abs/2002.03109v1

    • [cs.DC]WatchDog: Real-time Vehicle Tracking on Geo-distributed Edge Nodes
    Zheng Dong, Yan Lu, Guangmo Tong, Yuanchao Shu, Shuai Wang, Weisong Shi
    http://arxiv.org/abs/2002.04597v1

    • [cs.DC]pSPICE: Partial Match Shedding for Complex Event Processing
    Ahmad Slo, Sukanya Bhowmik, Albert Flaig, Kurt Rothermel
    http://arxiv.org/abs/2002.04436v1

    • [cs.DL]Testing of Support Tools for Plagiarism Detection
    Tomáš Foltýnek, Dita Dlabolová, Alla Anohina-Naumeca, Salim Razı, Július Kravjar, Laima Kamzola, Jean Guerrero-Dib, Özgür Çelik, Debora Weber-Wulff
    http://arxiv.org/abs/2002.04279v1

    • [cs.HC]First Directions for Using Gamification to Motivate for Open Access
    Athanasios Mazarakis, Paula Bräuer
    http://arxiv.org/abs/2002.03681v1

    • [cs.HC]Human-Centered Artificial Intelligence: Trusted, Reliable & Safe
    Ben Shneiderman
    http://arxiv.org/abs/2002.04087v1

    • [cs.HC]Leveraging Rationales to Improve Human Task Performance
    Devleena Das, Sonia Chernova
    http://arxiv.org/abs/2002.04202v1

    • [cs.IR]Exact Indexing of Time Series under Dynamic Time Warping
    Zhengxin Li
    http://arxiv.org/abs/2002.04187v1

    • [cs.IT]Area Spectral Efficiency and SINR Scaling Laws in Multi-Antenna Cellular Networks
    Ahmad AlAmmouri, Jeffrey G. Andrews, Francois Baccelli
    http://arxiv.org/abs/2002.04118v1

    • [cs.IT]Edge Cache-assisted Secure Low-Latency Millimeter Wave Transmission
    Wanming Hao, Ming Zeng, Gangcan Sun, Pei Xiao
    http://arxiv.org/abs/2002.04169v1

    • [cs.IT]Energy and Spectral Efficiency Tradeoff in OFDMA Networks via Antenna Selection Strategy
    Ata Khalili, Derrick Wing Kwan Ng
    http://arxiv.org/abs/2002.04104v1

    • [cs.IT]Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications with SWIPT
    Wanming Hao, Gangcan Sun, Fuhui Zhou, De Mi, Jia Shi, Pei Xiao, Victor C. M. Leung
    http://arxiv.org/abs/2002.04171v1

    • [cs.IT]Joint Beamforming And Power Splitting Design For C-RAN With Multicast Fronthaul
    Wanming Hao, Gangcan Sun, Ming Zeng, Zhengyu Zhu, Bin Jiang, Shouyi Yang
    http://arxiv.org/abs/2002.04167v1

    • [cs.IT]Limited memory predictors with compact explicit representations
    Nikolai Dokuchaev
    http://arxiv.org/abs/2002.04386v1

    • [cs.IT]On Throughput of Millimeter Wave MIMO Systems with Low Resolution ADCs
    Abbas Khalili, Shahram Shahsavari, Farhad Shirani, Elza Erkip, Yonina C. Eldar
    http://arxiv.org/abs/2002.04221v1

    • [cs.IT]On the Communication Latency of Wireless Decentralized Learning
    Navid Naderializadeh
    http://arxiv.org/abs/2002.04069v1

    • [cs.IT]Probabilistic Forwarding of Coded Packets on Networks
    B. R. Vinay Kumar, Navin Kashyap
    http://arxiv.org/abs/2002.04438v1

    • [cs.IT]Secure Millimeter Wave Cloud Radio Access Networks Relying on Microwave Multicast Fronthaul
    Wanming Hao, Gangcan Sun, Jiankang Zhang, Pei Xiao, Lajos Hanzo
    http://arxiv.org/abs/2002.04166v1

    • [cs.IT]Task-Based Quantization with Application to MIMO Receivers
    Nir Shlezinger, Yonina C. Eldar
    http://arxiv.org/abs/2002.04290v1

    • [cs.LG]A review on outlier/anomaly detection in time series data
    Ane Blázquez-García, Angel Conde, Usue Mori, Jose A. Lozano
    http://arxiv.org/abs/2002.04236v1

    • [cs.LG]A study of local optima for learning feature interactions using neural networks
    Yangzi Guo, Adrian Barbu
    http://arxiv.org/abs/2002.04322v1

    • [cs.LG]Adversarial Filters of Dataset Biases
    Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
    http://arxiv.org/abs/2002.04108v1

    • [cs.LG]Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization
    Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi Schambra, Carlos Fernandez-Granda
    http://arxiv.org/abs/68
    bs/2002.04019v1
    bs/2002.04019v1)

    • [cs.LG]Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
    Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
    http://arxiv.org/abs/2002.04116v1

    • [cs.LG]Compositional Embeddings for Multi-Label One-Shot Learning
    Zeqian Li, Mike Mozer, Jacob Whitehill
    http://arxiv.org/abs/2002.04193v1

    • [cs.LG]Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
    Nathan Kallus, Angela Zhou
    http://arxiv.org/abs/2002.04518v1

    • [cs.LG]Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages
    J. C. Vásquez-Correa, T. Arias-Vergara, C. D. Rios-Urrego, M. Schuster, J. Rusz, J. R. Orozco-Arroyave, E. Nöth
    http://arxiv.org/abs/2002.04374v1

    • [cs.LG]Decisions, Counterfactual Explanations and Strategic Behavior
    Stratis Tsirtsis, Manuel Gomez-Rodriguez
    http://arxiv.org/abs/2002.04333v1

    • [cs.LG]Efficiently Learning and Sampling Interventional Distributions from Observations
    Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Ashwin Maran, N. V. Vinodchandran
    http://arxiv.org/abs/2002.04232v1

    • [cs.LG]Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
    Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
    http://arxiv.org/abs/2002.04083v1

    • [cs.LG]Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
    Joseph D. Janizek, Pascal Sturmfels, Su-In Lee
    http://arxiv.org/abs/2002.04138v1

    • [cs.LG]Feature Importance Estimation with Self-Attention Networks
    Blaž Škrlj, Sašo Džeroski, Nada Lavrač, Matej Petkovič
    http://arxiv.org/abs/2002.04464v1

    • [cs.LG]Fine-grained Uncertainty Modeling in Neural Networks
    Rahul Soni, Naresh Shah, Jimmy D. Moore
    http://arxiv.org/abs/2002.04205v1

    • [cs.LG]ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting
    Joel Janek Dabrowski, YiFan Zhang, Ashfaqur Rahman
    http://arxiv.org/abs/2002.04155v1

    • [cs.LG]Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
    Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Jörn-Henrik Jacobsen
    http://arxiv.org/abs/2002.04599v1

    • [cs.LG]Generalised Lipschitz Regularisation Equals Distributional Robustness
    Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
    http://arxiv.org/abs/2002.04197v1

    • [cs.LG]Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
    Liang Ding, Rui Tuo, Shahin Shahrampour
    http://arxiv.org/abs/2002.04195v1

    • [cs.LG]Generalized Kernel-Based Dynamic Mode Decomposition
    Patrick Heas, Cedric Herzet, Benoit Combes
    http://arxiv.org/abs/2002.04375v1

    • [cs.LG]Graph Convolutional Gaussian Processes For Link Prediction
    Felix L. Opolka, Pietro Liò
    http://arxiv.org/abs/2002.04337v1

    • [cs.LG]Hyper-Meta Reinforcement Learning with Sparse Reward
    Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
    http://arxiv.org/abs/2002.04238v1

    • [cs.LG]Improving the affordability of robustness training for DNNs
    Sidharth Gupta, Parijat Dube, Ashish Verma
    http://arxiv.org/abs/2002.04237v1

    • [cs.LG]Incremental Fast Subclass Discriminant Analysis
    Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
    http://arxiv.org/abs/2002.04348v1

    • [cs.LG]Incremental Learning for Metric-Based Meta-Learners
    Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
    http://arxiv.org/abs/2002.04162v1

    • [cs.LG]Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations
    Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro
    http://arxiv.org/abs/2002.04186v1

    • [cs.LG]Learning Structured Communication for Multi-agent Reinforcement Learning
    Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
    http://arxiv.org/abs/2002.04235v1

    • [cs.LG]Learning to Switch Between Machines and Humans
    Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez
    http://arxiv.org/abs/2002.04258v1

    • [cs.LG]Lifting Interpretability-Performance Trade-off via Automated Feature Engineering
    Alicja Gosiewska, Przemyslaw Biecek
    http://arxiv.org/abs/2002.04267v1

    • [cs.LG]Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo
    Yin Tat Lee, Ruoqi Shen, Kevin Tian
    http://arxiv.org/abs/2002.04121v1

    • [cs.LG]Machine Learning Approaches For Motor Learning: A Short Review
    Baptiste Caramiaux, Jules Françoise, Abby Wanyu Liu, Téo Sanchez, Frédéric Bevilacqua
    http://arxiv.org/abs/2002.04317v1

    • [cs.LG]Meta-Learning across Meta-Tasks for Few-Shot Learning
    Nanyi Fei, Zhiwu Lu, Yizhao Gao, Jia Tian, Tao Xiang, Ji-Rong Wen
    http://arxiv.org/abs/2002.04274v1

    • [cs.LG]Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift
    Subhro Das, Prasanth Lade, Soundar Srinivasan
    http://arxiv.org/abs/2002.04094v1

    • [cs.LG]Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks
    Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu
    http://arxiv.org/abs/2002.04319v1

    • [cs.LG]Objective Mismatch in Model-based Reinforcement Learning
    Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
    http://arxiv.org/abs/2002.04523v1

    • [cs.LG]On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks
    Behnam Asadi, Hui Jiang
    http://arxiv.org/abs/2002.04060v1

    • [cs.LG]Online Preselection with Context Information under the Plackett-Luce Model
    Adil El Mesaoudi-Paul, Viktor Bengs, Eyke Hüllermeier
    http://arxiv.org/abs/2002.04275v1

    • [cs.LG]Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics
    Rohit Jammula, Vishnu Rajan Tejus, Shreya Shankar
    http://arxiv.org/abs/2002.04189v1

    • [cs.LG]Predicting drug properties with parameter-free machine learning: Pareto-Optimal Embedded Modeling (POEM)
    Andrew E. Brereton, Stephen MacKinnon, Zhaleh Safikhani, Shawn Reeves, Sana Alwash, Vijay Shahani, Andreas Windemuth
    http://arxiv.org/abs/2002.04555v1

    • [cs.LG]Q-Learning for Mean-Field Controls
    Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu
    http://arxiv.org/abs/2002.04131v1

    • [cs.LG]Robust Mean Estimation under Coordinate-level Corruption
    Zifan Liu, Jongho Park, Nils Palumbo, Theodoros Rekatsinas, Christos Tzamos
    http://arxiv.org/abs/2002.04137v1

    • [cs.LG]Robustness of Bayesian Neural Networks to Gradient-Based Attacks
    Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patane, Luca Bortolussi, Guido Sanguinetti
    http://arxiv.org/abs/2002.04359v1

    • [cs.LG]Smoothness and Stability in GANs
    Casey Chu, Kentaro Minami, Kenji Fukumizu
    http://arxiv.org/abs/2002.04185v1

    • [cs.LG]To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
    Aloïs Pourchot, Alexis Ducarouge, Olivier Sigaud
    http://arxiv.org/abs/2002.04289v1

    • [cs.LG]Training Efficient Network Architecture and Weights via Direct Sparsity Control
    Yangzi Guo, Yiyuan She, Adrian Barbu
    http://arxiv.org/abs/2002.04301v1

    • [cs.LG]Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
    Jinhyun So, Basak Guler, A. Salman Avestimehr
    http://arxiv.org/abs/2002.04156v1

    • [cs.MA]A Versatile Multi-Robot Monte Carlo Tree Search Planner for On-Line Coverage Path Planning
    Phillip Hyatt, Zachary Brock, Marc D. Killpack
    http://arxiv.org/abs/2002.04517v1

    • [cs.NE]A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem
    Jonatas B. C. Chagas, Julian Blank, Markus Wagner, Marcone J. F. Souza, Kalyanmoy Deb
    http://arxiv.org/abs/2002.04303v1

    • [cs.NE]Dynamic Impact for Ant Colony Optimization algorithm
    Jonas Skackauskas, Tatiana Kalganova, Ian Dear, Mani Janakram
    http://arxiv.org/abs/2002.04099v1

    • [cs.NE]Population-Based Training for Loss Function Optimization
    Jason Liang, Santiago Gonzalez, Risto Miikkulainen
    http://arxiv.org/abs/2002.04225v1

    • [cs.NI]Engineering and Experimentally Benchmarking a Container-based Edge Computing System
    Francisco Carpio, Marta Delgado, Admela Jukan
    http://arxiv.org/abs/2002.03805v1

    • [cs.NI]PULSE: Optical circuit switched Data Center architecture operating at nanosecond timescales
    Joshua L. Benjamin, Thomas Gerard, Domaniç Lavery, Polina Bayvel, Georgios Zervas
    http://arxiv.org/abs/2002.04077v1

    • [cs.NI]Towards a distributed and infrastructure-less vehicular traffic management system
    Ademar T. Akabane, Roger Immich, Luiz F. Bittencourt, Edmundo R. M. Madeira, Leandro A. Villas
    http://arxiv.org/abs/2002.04096v1

    • [cs.RO]**Accelerated RRT and its evaluation on Autonomous Parking
    Jiri Vlasak, Michal Sojka, Zdeněk Hanzálek
    http://arxiv.org/abs/2002.04521v1

    • [cs.RO]Fast Frontier-based Information-driven Autonomous Exploration with an MAV
    Anna Dai, Sotiris Papatheodorou, Nils Funk, Dimos Tzoumanikas, Stefan Leutenegger
    http://arxiv.org/abs/2002.04440v1

    • [cs.RO]Human-to-Robot Attention Transfer for Robot Execution Failure Avoidance Using Stacked Neural Networks
    Boyi Song, Yuntao Peng, Ruijiao Luo, Rui Liu
    http://arxiv.org/abs/2002.04242v1

    • [cs.RO]Inference-Based Strategy Alignment for General-Sum Differential Games
    Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
    http://arxiv.org/abs/2002.04354v1

    • [cs.RO]On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach
    Nicolò Botteghi, Beril Sirmacek, Khaled A. A. Mustafa, Mannes Poel, Stefano Stramigioli
    http://arxiv.org/abs/2002.04109v1

    • [cs.RO]Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills
    Wenbin Hu, Chuanyu Yang, Kai Yuan, Zhibin Li
    http://arxiv.org/abs/2002.04498v1

    • [cs.RO]Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems
    Sushmita Bhattacharya, Sahil Badyal, Thomas Wheeler, Stephanie Gil, Dimitri Bertsekas
    http://arxiv.org/abs/2002.04175v1

    • [cs.RO]Robot Navigation with Map-Based Deep Reinforcement Learning
    Guangda Chen, Lifan Pan, Yu’an Chen, Pei Xu, Zhiqiang Wang, Peichen Wu, Jianmin Ji, Xiaoping Chen
    http://arxiv.org/abs/2002.04349v1

    • [cs.RO]Visualizing Local Minima in Multi-Robot Motion Planning using Morse Theory
    Andreas Orthey, Marc Toussaint
    http://arxiv.org/abs/2002.04385v1

    • [cs.SD]Unsupervised Learning of Audio Perception for Robotics Applications: Learning to Project Data to T-SNE/UMAP space
    Prateek Verma, Kenneth Salisbury
    http://arxiv.org/abs/2002.04076v1

    • [cs.SE]Automating App Review Response Generation
    Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King
    http://arxiv.org/abs/2002.03552v1

    • [cs.SI]A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
    Lu Bai, Lixin Cui, Edwin R. Hancock
    http://arxiv.org/abs/2002.04425v1

    • [cs.SI]A new generalization of edge overlap to weighted networks
    Ali Choumane
    http://arxiv.org/abs/2002.04426v1

    • [cs.SI]Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
    Bing-Yi Jing, Ting Li, Zhongyuan Lyu, Dong Xia
    http://arxiv.org/abs/2002.04457v1

    • [cs.SI]HGAT: Hierarchical Graph Attention Network for Fake News Detection
    Yuxiang Ren, Jiawei Zhang
    http://arxiv.org/abs/2002.04397v1

    • [cs.SI]Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams
    Yi Han, Shanika Karunasekera, Christopher Leckie
    http://arxiv.org/abs/2002.04208v1

    • [cs.SI]LoCEC: Local Community-based Edge Classification in Large Online Social Networks
    Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen
    http://arxiv.org/abs/2002.04180v1

    • [cs.SI]Vertex-reinforced Random Walk for Network Embedding
    Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song
    http://arxiv.org/abs/2002.04497v1

    • [econ.EM]Sequential Monitoring of Changes in Housing Prices
    Lajos Horváth, Zhenya Liu, Shanglin Lu
    http://arxiv.org/abs/2002.04101v1

    • [eess.IV]2.75D Convolutional Neura
    8000
    l Network for Pulmonary Nodule Classification in Chest CT
    Ruisheng Su, Weiyi Xie, Tao Tan
    http://arxiv.org/abs/2002.04251v1

    • [eess.IV]A Unified End-to-End Framework for Efficient Deep Image Compression
    Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu
    http://arxiv.org/abs/2002.03370v2

    • [eess.IV]Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
    Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga, Américo Brilhante, Aslı Çakır, Xavier Farré, Katerina Geronatsiou, Vincent Molinié, Guilherme Pereira, Paromita Roy, Günter Saile, Paulo Salles, Ewout Schaafsma, Joëlle Tschui, Anne-Marie Vos, Hester van Boven, Robert Vink, Jeroen van der Laak, Christina Hulsbergen-van de Kaa, Geert Litjens
    http://arxiv.org/abs/2002.04500v1

    • [eess.IV]Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images
    Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko
    http://arxiv.org/abs/2002.04207v1

    • [eess.IV]Folding-based compression of point cloud attributes
    Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
    http://arxiv.org/abs/2002.04439v1

    • [eess.IV]HRINet: Alternative Supervision Network for High-resolution CT image Interpolation
    Jiawei Li, Jae Chul Koh, Won-Sook Lee
    http://arxiv.org/abs/2002.04455v1

    • [eess.IV]How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning?
    Sven Koehler, Animesh Tandon, Tarique Hussain, Heiner Latus, Thomas Pickardt, Samir Sarikouch, Philipp Beerbaum, Gerald Greil, Sandy Engelhardt, Ivo Wolf
    http://arxiv.org/abs/2002.04392v1

    • [eess.IV]Reconstructing the Noise Manifold for Image Denoising
    Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou
    http://arxiv.org/abs/2002.04147v1

    • [eess.IV]Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives
    Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
    http://arxiv.org/abs/2002.04102v1

    • [eess.SY]Adaptive Control Barrier Functions for Safety-Critical Systems
    Wei Xiao, Calin Belta, Christos G. Cassandras
    http://arxiv.org/abs/2002.04577v1

    • [math-ph]Proof of Sarkar-Kumar’s Conjectures on Average Entanglement Entropies over the Bures-Hall Ensemble
    Lu Wei
    http://arxiv.org/abs/2002.04085v1

    • [math.DS]Symplectic Geometric Methods for Matrix Differential Equations Arising from Inertial Navigation Problems
    Xin-Long Luo, Geng Sun
    http://arxiv.org/abs/2002.04315v1

    • [math.OC]Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
    Lenaic Chizat, Francis Bach
    http://arxiv.org/abs/2002.04486v1

    • [math.OC]Self-concordant analysis of Frank-Wolfe algorithms
    Pavel Dvurechensky, Shimrit Shtern, Mathias Staudigl, Petr Ostroukhov, Kamil Safin
    http://arxiv.org/abs/2002.04320v1

    • [math.ST]Minimax optimal goodness-of-fit testing for densities under a local differential privacy constraint
    Joseph Lam-Weil, Béatrice Laurent, Jean-Michel Loubes
    http://arxiv.org/abs/2002.04254v1

    • [math.ST]Sensitivity analysis in general metric spaces
    Fabrice Gamboa, Thierry Klein, Agnès Lagnoux, Leonardo Moreno
    http://arxiv.org/abs/2002.04465v1

    • [math.ST]Stochastic comparisons of lifetimes of series and parallel systems with dependent and heterogeneous components
    Arindam Panja, Pradip Kundu, Biswabrata Pradhan
    http://arxiv.org/abs/2002.04271v1

    • [math.ST]Wasserstein Control of Mirror Langevin Monte Carlo
    Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra
    http://arxiv.org/abs/2002.04363v1

    • [nucl-th]Statistical aspects of nuclear mass models
    Vojtech Kejzlar, Léo Neufcourt, Witold Nazarewicz, Paul-Gerhard Reinhard
    http://arxiv.org/abs/2002.04151v1

    • [physics.data-an]Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data
    Jan Kieseler
    http://arxiv.org/abs/2002.03605v1

    • [physics.soc-ph]Public discourse and social network echo chambers driven by socio-cognitive biases
    Xin Wang, Shaoting Tang, Zhiming Zheng, Feng Fu
    http://arxiv.org/abs/2002.03915v1

    • [stat.AP]Personalized acute stress classification from physiological signals with neural processes
    Callum L. Stewart, Amos Folarin, Richard Dobson
    http://arxiv.org/abs/2002.04176v1

    • [stat.AP]The role of intrinsic dimension in high-resolution player tracking data — Insights in basketball
    Edgar Santos-Fernandez, Francesco Denti, Kerrie Mengersen, Antonietta Mira
    http://arxiv.org/abs/2002.04148v1

    • [stat.ME]A general Bayesian bootstrap for censored data based on the beta-Stacy process
    Andrea Arfè, Pietro Muliere
    http://arxiv.org/abs/2002.04081v1

    • [stat.ME]A sufficient condition for penalized polynomial regression to be invariant to translations of the predictor variables
    J W R Martini
    http://arxiv.org/abs/2002.04578v1

    • [stat.ME]Conditional Modelling of Spatio-Temporal Extremes for Red Sea Surface Temperatures
    Emma S. Simpson, Jennifer L. Wadsworth
    http://arxiv.org/abs/2002.04362v1

    • [stat.ME]Dating the Break in High-dimensional Data
    Runmin Wang, Xiaofeng Shao
    http://arxiv.org/abs/2002.04115v1

    • [stat.ME]Fixed-effects model: the most convincing model for meta-analysis with few studies
    Enxuan Lin, Tiejun Tong, Yong Chen, Yuedong Wang
    http://arxiv.org/abs/2002.04211v1

    • [stat.ME]Generalized Poisson Difference Autoregressive Processes
    Giulia Carallo, Roberto Casarin, Christian P. Robert
    http://arxiv.org/abs/2002.04470v1

    • [stat.ME]Imbalanced classification: an objective-oriented review
    Yang Feng, Min Zhou, Xin Tong
    http://arxiv.org/abs/2002.04592v1

    • [stat.ML]Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
    Cédric Gerbelot, Alia Abbara, Florent Krzakala
    http://arxiv.org/abs/2002.04372v1

    • [stat.ML]Finding manoeuvre motifs in vehicle telematics
    Maria Inês Silva, Roberto Henriques
    http://arxiv.org/abs/2002.04127v1

    • [stat.ML]Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
    Theofanis Karaletsos, Thang D. Bui
    http://arxiv.org/abs/2002.04033v1

    • [stat.ML]Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra
    Everton Jose Santana, Felipe Rodrigues dos Santos, Saulo Martiello Mastelini, Fabio Luiz Melquiades, Sylvio Barbon Jr
    http://arxiv.org/abs/2002.04312v1

    • [stat.ML]On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
    Subhayan De, Jolene Britton, Matthew Reynolds, Ryan Skinner, Kenneth Jansen, Alireza Doostan
    http://arxiv.org/abs/2002.04495v1

    • [stat.ML]Predicting Multidimensional Data via Tensor Learning
    Giuseppe Brandi, T. Di Matteo
    http://arxiv.org/abs/2002.04328v1

    • [stat.ML]Towards better understanding of meta-features contributions
    Katarzyna Woźnica, Przemysław Biecek
    http://arxiv.org/abs/2002.04276v1

    • [stat.ML]TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
    Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
    http://arxiv.org/abs/2002.04461v1