astro-ph.CO - 宇宙学和天体物理学

    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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.ST - 统计理论 physics.app-ph - 应用物理 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.CO]Clustering of Local Extrema in Planck CMB maps
    • [cs.AI]Construe: a software solution for the explanation-based interpretation of time series
    • [cs.AI]Directions for Explainable Knowledge-Enabled Systems
    • [cs.AI]Enhancing the Monte Carlo Tree Search Algorithm for Video Game Testing
    • [cs.AI]Foundations of Explainable Knowledge-Enabled Systems
    • [cs.AI]Learning to Optimize Autonomy in Competence-Aware Systems
    • [cs.AI]TTDM: A Travel Time Difference Model for Next Location Prediction
    • [cs.CL]A Formal Analysis of Multimodal Referring Strategies Under Common Ground
    • [cs.CL]A Label Proportions Estimation technique for Adversarial Domain Adaptation in Text Classification
    • [cs.CL]Adapting Deep Learning Methods for Mental Health Prediction on Social Media
    • [cs.CL]Developing a Multilingual Annotated Corpus of Misogyny and Aggression
    • [cs.CL]HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment
    • [cs.CL]LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment
    • [cs.CL]Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
    • [cs.CL]Offensive Language Identification in Greek
    • [cs.CL]PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry
    • [cs.CL]Parallel sequence tagging for concept recognition
    • [cs.CL]Recent Advances and Challenges in Task-oriented Dialog System
    • [cs.CL]Rethinking Batch Normalization in Transformers
    • [cs.CL]XPersona: Evaluating Multilingual Personalized Chatbot
    • [cs.CR]An Automatic Attribute Based Access Control Policy Extraction from Access Logs
    • [cs.CV]$F$, $B$, Alpha Matting
    • [cs.CV]1st Place Solutions for OpenImage2019 — Object Detection and Instance Segmentation
    • [cs.CV]A Novel Online Action Detection Framework from Untrimmed Video Streams
    • [cs.CV]Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
    • [cs.CV]Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation
    • [cs.CV]Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
    • [cs.CV]Blur, Noise, and Compression Robust Generative Adversarial Networks
    • [cs.CV]Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning
    • [cs.CV]Burst Denoising of Dark Images
    • [cs.CV]DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
    • [cs.CV]Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
    • [cs.CV]EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
    • [cs.CV]Feedback Graph Convolutional Network for Skeleton-based Action Recognition
    • [cs.CV]GFTE: Graph-based Financial Table Extraction
    • [cs.CV]Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction
    • [cs.CV]Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes
    • [cs.CV]Heat and Blur: An Effective and Fast Defense Against Adversarial Examples
    • [cs.CV]Hierarchical Models: Intrinsic Separability in High Dimensions
    • [cs.CV]Hyperplane Arrangements of Trained ConvNets Are Biased
    • [cs.CV]Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling
    • [cs.CV]KPNet: Towards Minimal Face Detector
    • [cs.CV]Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
    • [cs.CV]Learning Meta Face Recognition in Unseen Domains
    • [cs.CV]Learning to Structure an Image with Few Colors
    • [cs.CV]M$^5$L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking
    • [cs.CV]Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior
    • [cs.CV]Multi-modal Dense Video Captioning
    • [cs.CV]Multimodal Shape Completion via Conditional Generative Adversarial Networks
    • [cs.CV]Neural Mesh Refiner for 6-DoF Pose Estimation
    • [cs.CV]Object-Centric Image Generation from Layouts
    • [cs.CV]Parameter-Free Style Projection for Arbitrary Style Transfer
    • [cs.CV]Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition
    • [cs.CV]Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
    • [cs.CV]Real Time Detection of Small Objects
    • [cs.CV]Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis
    • [cs.CV]Refinements in Motion and Appearance for Online Multi-Object Tracking
    • [cs.CV]Revisiting the Sibling Head in Object Detector
    • [cs.CV]SF-Net: Single-Frame Supervision for Temporal Action Localization
    • [cs.CV]SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking
    • [cs.CV]SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping
    • [cs.CV]TACO: Trash Annotations in Context for Litter Detection
    • [cs.CV]Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets
    • [cs.CV]Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
    • [cs.CV]Weakly-Supervised Salient Object Detection via Scribble Annotations
    • [cs.CY]FakeYou! — A Gamified Approach for Building and Evaluating Resilience Against Fake News
    • [cs.DB]When is Ontology-Mediated Querying Efficient?
    • [cs.DC]Adapting Persistent Data Structures for Concurrency and Speculation
    • [cs.DC]Beyond Alice and Bob: Improved Inapproximability for Maximum Independent Set in CONGEST
    • [cs.DC]PigPaxos: Devouring the communication bottlenecks in distributed consensus
    • [cs.DC]Store-Collect in the Presence of Continuous Churn with Application to Snapshots and Lattice Agreement
    • [cs.DC]The Power of Global Knowledge on Self-stabilizing Population Protocols
    • [cs.HC]A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study
    • [cs.HC]AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment
    • [cs.HC]Harnessing Explanations to Bridge AI and Humans
    • [cs.IR]Identifying Notable News Stories
    • [cs.IR]Overview of the TREC 2019 deep learning track
    • [cs.IT]Binary LCD Codes and Self-orthogonal Codes via Simplicial Complexes
    • [cs.IT]Cooperative Object Detection and Parameter Estimation Using Visible Light Communications
    • [cs.IT]Linear Regression without Correspondences via Conca
    1230
    ve Minimization
    • [cs.IT]Resource Allocation for IRS-assisted Full-Duplex Cognitive Radio Systems
    • [cs.LG]A Numerical Transform of Random Forest Regressors corrects Systematically-Biased Predictions
    • [cs.LG]A Unified View of Label Shift Estimation
    • [cs.LG]A comprehensive study on the prediction reliability of graph neural networks for virtual screening
    • [cs.LG]ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition
    • [cs.LG]Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
    • [cs.LG]Efficient Bitwidth Search for Practical Mixed Precision Neural Network
    • [cs.LG]Energy-Based Processes for Exchangeable Data
    • [cs.LG]Explaining Memorization and Generalization: A Large-Scale Study with Coherent Gradients
    • [cs.LG]Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
    • [cs.LG]Learnergy: Energy-based Machine Learners
    • [cs.LG]MPE: A Mobility Pattern Embedding Model for Predicting Next Locations
    • [cs.LG]Multi-action Offline Policy Learning with Bayesian Optimization
    • [cs.LG]Neighborhood-based Pooling for Population-level Label Distribution Learning
    • [cs.LG]Nonparametric Deconvolution Models
    • [cs.LG]Partial Multi-label Learning with Label and Feature Collaboration
    • [cs.LG]Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)
    • [cs.LG]Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions
    • [cs.LG]Spectral Graph Attention Network
    • [cs.LG]Tensor Graph Convolutional Networks for Multi-relational and Robust Learning
    • [cs.LG]Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond
    • [cs.LG]Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder
    • [cs.LG]Verification of Neural Networks: Enhancing Scalability through Pruning
    • [cs.NE]Research on a New Convolutional Neural Network Model Combined with Random Edges Adding
    • [cs.NE]Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach
    • [cs.NE]iNALU: Improved Neural Arithmetic Logic Unit
    • [cs.NI]Time-Weighted Coverage of Integrated Aerial and Ground Networks for Post-Disaster Communications
    • [cs.PF]How Fast Can We Insert? A Performance Study of Apache Kafka
    • [cs.PF]Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction
    • [cs.RO]Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing
    • [cs.RO]An Experimental Evaluation of Robustness and Precision for Long-term LiDAR-based Localization in Highly Changing Environments
    • [cs.RO]Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
    • [cs.RO]CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes
    • [cs.RO]Data-driven Characterization of Human Interaction for Model-based Control of Powered Prostheses
    • [cs.RO]Evaluation of Cross-View Matching to Improve Ground Vehicle Localization with Aerial Perception
    • [cs.RO]Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles
    • [cs.RO]Longitudinal Dynamics Model Identification of an Electric Car Based on Real Response Approximation
    • [cs.RO]Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles
    • [cs.RO]Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning
    • [cs.RO]Towards Transparent Robotic Planning via Contrastive Explanations
    • [cs.RO]Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning
    • [cs.SI]COVID-19: The First Public Coronavirus Twitter Dataset
    • [cs.SI]Can Celebrities Burst Your Bubble?
    • [cs.SI]SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting
    • [cs.SI]TraLFM: Latent Factor Modeling of Traffic Trajectory Data
    • [eess.AS]High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model
    • [eess.AS]TensorFlow Audio Models in Essentia
    • [eess.IV]A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images
    • [eess.IV]CycleISP: Real Image Restoration via Improved Data Synthesis
    • [eess.IV]Cytology Image Analysis Techniques Towards Automation: Systematically Revisited
    • [eess.IV]DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine
    • [eess.IV]Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset
    • [eess.IV]Radiomic feature selection for lung cancer classifiers
    • [eess.IV]SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
    • [eess.IV]Synthesis of Brain Tumor MR Images for Learning Data Augmentation
    • [eess.IV]Virtual staining for mitosis detection in Breast Histopathology
    • [eess.IV]u-net CNN based fourier ptychography
    • [eess.SP]Leakage-Based Robust Beamforming for Multi-Antenna Broadcast System with Per-Antenna Power Constraints and Quantized CDI
    • [eess.SP]MMSE Based Greedy Antenna Selection Scheme for AF MIMO Relay Systems
    • [eess.SP]Sequential and Incremental Precoder Design for Joint Transmission Network MIMO Systems with Imperfect Backhaul
    • [eess.SP]Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning
    • [eess.SY]Data Set Description: Identifying the Physics Behind an Electric Motor — Data-Driven Learning of the Electrical Behavior (Part I)
    • [eess.SY]Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World
    • [eess.SY]Nonlinear system identification with regularized Tensor Network B-splines
    • [eess.SY]Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition
    • [math.ST]Adaptive Learning Rates for Support Vector Machines Working on Data with Low Intrinsic Dimension
    • [physics.app-ph]Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach
    • [physics.geo-ph]Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing
    • [physics.soc-ph]Exchanging small amounts of opinions outperforms sharing aggregated opinions of large crowds
    • [q-bio.PE]Adaptive Bet-Hedging Revisited: Considerations of Risk and Time Horizon
    • [q-bio.PE]Day Level Forecasting for Coronavirus Disease (COVID-19) Spread: Analysis, Modeling and Recommendations
    • [q-bio.PE]Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics
    • [quant-ph]Unsupervised machine learning of quantum phase transitions using diffusion maps
    • [stat.AP]Applying the Network Item Response Model to Student Assessment Data
    • [stat.ME]A Bayesian Nonparametric Latent Space Approach to Modeling Evolving Communities in Dynamic Networks
    • [stat.ME]Degree irregularity and rank probability bias in network meta-analysis
    • [stat.ME]Directionally Dependent Multi-View Clustering Using Copula Model
    • [stat.ME]Generalizing Randomized Trial Findings to a Target Population using Complex Survey Population Data
    • [stat.ME]Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods
    • [stat.ML]Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions
    • [stat.ML]Fair inference on error-prone outcomes
    • [stat.ML]The Implicit Regularization of Stochastic Gradient Flow for Least Squares

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

    • [astro-ph.CO]Clustering of Local Extrema in Planck CMB maps
    A. Vafaei Sadr, S. M. S. Movahed
    http://arxiv.org/abs/2003.07364v1

    • [cs.AI]Construe: a software solution for the explanation-based interpretation of time series
    Tomas Teijeiro, Paulo Felix
    http://arxiv.org/abs/2003.07596v1

    • [cs.AI]Directions for Explainable Knowledge-Enabled Systems
    Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness
    http://arxiv.org/abs/2003.07523v1

    • [cs.AI]Enhancing the Monte Carlo Tree Search Algorithm for Video Game Testing
    Sinan Ariyurek, Aysu Betin-Can, Elif Surer
    http://arxiv.org/abs/2003.07813v1

    • [cs.AI]Foundations of Explainable Knowledge-Enabled Systems
    Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness
    http://arxiv.org/abs/2003.07520v1

    • [cs.AI]Learning to Optimize Autonomy in Competence-Aware Systems
    Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan Witwicki, Joydeep Biswas, Shlomo Zilberstein
    http://arxiv.org/abs/2003.07745v1

    • [cs.AI]TTDM: A Travel Time Difference Model for Next Location Prediction
    Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen
    http://arxiv.org/abs/2003.07781v1

    • [cs.CL]A Formal Analysis of Multimodal Referring Strategies Under Common Ground
    Nikhil Krishnaswamy, James Pustejovsky
    http://arxiv.org/abs/2003.07385v1

    • [cs.CL]A Label Proportions Estimation technique for Adversarial Domain Adaptation in Text Classification
    Zhuohao Chen
    http://arxiv.org/abs/2003.07444v1

    • [cs.CL]Adapting Deep Learning Methods for Mental Health Prediction on Social Media
    Ivan Sekulić, Michael Strube
    http://arxiv.org/abs/2003.07634v1

    • [cs.CL]Developing a Multilingual Annotated Corpus of Misogyny and Aggression
    Shiladitya Bhattacharya, f9b
    Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha
    http://arxiv.org/abs/2003.07428v1

    • [cs.CL]HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment
    Anssi Yli-Jyrä, Josi Purhonen, Matti Liljeqvist, Arto Antturi, Pekka Nieminen, Kari M. Räntilä, Valtter Luoto
    http://arxiv.org/abs/2003.07456v1

    • [cs.CL]LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment
    Mohammad Arif Ul Alam, Dhawal Kapadia
    http://arxiv.org/abs/2003.07433v1

    • [cs.CL]Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
    A. K. Bhavani Singh, Mounika Guntu, Ananth Reddy Bhimireddy, Judy W. Gichoya, Saptarshi Purkayastha
    http://arxiv.org/abs/2003.07507v1

    • [cs.CL]Offensive Language Identification in Greek
    Zeses Pitenis, Marcos Zampieri, Tharindu Ranasinghe
    http://arxiv.org/abs/2003.07459v1

    • [cs.CL]PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry
    Thomas Haider, Steffen Eger, Evgeny Kim, Roman Klinger, Winfried Menninghaus
    http://arxiv.org/abs/2003.07723v1

    • [cs.CL]Parallel sequence tagging for concept recognition
    Lenz Furrer, Joseph Cornelius, Fabio Rinaldi
    http://arxiv.org/abs/2003.07424v1

    • [cs.CL]Recent Advances and Challenges in Task-oriented Dialog System
    Zheng Zhang, Ryuichi Takanobu, Minlie Huang, Xiaoyan Zhu
    http://arxiv.org/abs/2003.07490v1

    • [cs.CL]Rethinking Batch Normalization in Transformers
    Sheng Shen, Zhewei Yao, Amir Gholami, Michael Mahoney, Kurt Keutzer
    http://arxiv.org/abs/2003.07845v1

    • [cs.CL]XPersona: Evaluating Multilingual Personalized Chatbot
    Zhaojiang Lin, Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Yejin Bang, Etsuko Ishii, Pascale Fung
    http://arxiv.org/abs/2003.07568v1

    • [cs.CR]An Automatic Attribute Based Access Control Policy Extraction from Access Logs
    Leila Karimi, Maryam Aldairi, James Joshi, Mai Abdelhakim
    http://arxiv.org/abs/2003.07270v2

    • [cs.CV]$F$, $B$, Alpha Matting
    Marco Forte, François Pitié
    http://arxiv.org/abs/2003.07711v1

    • [cs.CV]1st Place Solutions for OpenImage2019 — Object Detection and Instance Segmentation
    Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang
    http://arxiv.org/abs/2003.07557v1

    • [cs.CV]A Novel Online Action Detection Framework from Untrimmed Video Streams
    Da-Hye Yoon, Nam-Gyu Cho, Seong-Whan Lee
    http://arxiv.org/abs/2003.07734v1

    • [cs.CV]Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
    Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martin, Lucio Marcenaro, Carlo Regazzoni
    http://arxiv.org/abs/2003.07623v1

    • [cs.CV]Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation
    Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye
    http://arxiv.org/abs/2003.07516v1

    • [cs.CV]Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
    Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
    http://arxiv.org/abs/2003.07853v1

    • [cs.CV]Blur, Noise, and Compression Robust Generative Adversarial Networks
    Takuhiro Kaneko, Tatsuya Harada
    http://arxiv.org/abs/2003.07849v1

    • [cs.CV]Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning
    Vladislav Sovrasov, Dmitry Sidnev
    http://arxiv.org/abs/2003.07618v1

    • [cs.CV]Burst Denoising of Dark Images
    Ahmet Serdar Karadeniz, Erkut Erdem, Aykut Erdem
    http://arxiv.org/abs/2003.07823v1

    • [cs.CV]DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
    Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
    http://arxiv.org/abs/2003.07496v1

    • [cs.CV]Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
    Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou, Chang Liu, Chun Yang, Hongfa Wang, Xu-Cheng Yin
    http://arxiv.org/abs/2003.07493v1

    • [cs.CV]EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
    Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon
    http://arxiv.org/abs/2003.07640v1

    • [cs.CV]Feedback Graph Convolutional Network for Skeleton-based Action Recognition
    Hao Yang, Dan Yan, Li Zhang, Dong Li, YunDa Sun, ShaoDi You, Stephen J. Maybank
    http://arxiv.org/abs/2003.07564v1

    • [cs.CV]GFTE: Graph-based Financial Table Extraction
    Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu
    http://arxiv.org/abs/2003.07560v1

    • [cs.CV]Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction
    Eunju Cha, Gyutaek Oh, Jong Chul Ye
    http://arxiv.org/abs/2003.07740v1

    • [cs.CV]Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes
    Liang Liao, Jing Xiao, Zheng Wang, Chia-wen Lin, Shin’ichi Satoh
    http://arxiv.org/abs/2003.06877v2

    • [cs.CV]Heat and Blur: An Effective and Fast Defense Against Adversarial Examples
    Haya Brama, Tal Grinshpoun
    http://arxiv.org/abs/2003.07573v1

    • [cs.CV]Hierarchical Models: Intrinsic Separability in High Dimensions
    Wen-Yan Lin
    http://arxiv.org/abs/2003.07770v1

    • [cs.CV]Hyperplane Arrangements of Trained ConvNets Are Biased
    Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman
    http://arxiv.org/abs/2003.07797v1

    • [cs.CV]Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling
    Xinshuo Weng, Ye Yuan, Kris Kitani
    http://arxiv.org/abs/2003.07847v1

    • [cs.CV]KPNet: Towards Minimal Face Detector
    Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
    http://arxiv.org/abs/2003.07543v1

    • [cs.CV]Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
    Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao
    http://arxiv.org/abs/2003.07833v1

    • [cs.CV]Learning Meta Face Recognition in Unseen Domains
    Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li
    http://arxiv.org/abs/2003.07733v1

    • [cs.CV]Learning to Structure an Image with Few Colors
    Yunzhong Hou, Liang Zheng, Stephen Gould
    http://arxiv.org/abs/2003.07848v1

    • [cs.CV]M$^5$L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking
    Zhengzheng Tu, Chun Lin, Chenglong Li, Jin Tang, Bin Luo
    http://arxiv.org/abs/2003.07650v1

    • [cs.CV]Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior
    Hu Zhang, Linchao Zhu, Yi Zhu, Yi Yang
    http://arxiv.org/abs/2003.07637v1

    • [cs.CV]Multi-modal Dense Video Captioning
    Vladimir Iashin, Esa Rahtu
    http://arxiv.org/abs/2003.07758v1

    • [cs.CV]Multimodal Shape Completion via Conditional Generative Adversarial Networks
    Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen
    http://arxiv.org/abs/2003.07717v1

    • [cs.CV]Neural Mesh Refiner for 6-DoF Pose Estimation
    Di Wu, Yihao Chen, Xianbiao Qi, Yuyong Jian, Weixuan Chen, Rong Xiao
    http://arxiv.org/abs/2003.07561v1

    • [cs.CV]Object-Centric Image Generation from Layouts
    Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R Devon Hjelm, Shikhar Sharma
    http://arxiv.org/abs/2003.07449v1

    • [cs.CV]Parameter-Free Style Projection for Arbitrary Style Transfer
    Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
    http://arxiv.org/abs/2003.07694v1

    • [cs.CV]Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition
    Jongmin Yu, Yongsang Yoon, Moongu Jeon
    http://arxiv.org/abs/2003.07514v1

    • [cs.CV]Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
    Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
    http://arxiv.org/abs/2003.07441v1

    • [cs.CV]Real Time Detection of Small Objects
    Al-Akhir Nayan, Joyeta Saha, Ahamad Nokib Mozumder, Khan Raqib Mahmud, Abul Kalam Al Azad
    http://arxiv.org/abs/2003.07442v1

    • [cs.CV]Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis
    Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, WenGao
    http://arxiv.org/abs/2003.07603v1

    • [cs.CV]Refinements in Motion and Appearance for Online Multi-Object Tracking
    Piao Huang, Shoudong Han, Jun Zhao, Donghaisheng Liu, Hongwei Wang, En Yu, Alex ChiChung Kot
    http://arxiv.org/abs/2003.07177v2

    • [cs.CV]Revisiting the Sibling Head in Object Detector
    Guanglu Song, Yu Liu, Xiaogang Wang
    http://arxiv.org/abs/2003.07540v1

    • [cs.CV]SF-Net: Single-Frame Supervision for Temporal Action Localization
    Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou
    http://arxiv.org/abs/2003.06845v2

    • [cs.CV]SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking
    Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Yan Xu, Tianjiang Wang, Qi Feng
    http://arxiv.org/abs/2003.07584v1

    • [cs.CV]SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping
    Jiaxiong Qiu, Cai Chen, Shuaicheng Liu, Bing Zeng
    http://arxiv.org/abs/2003.07469v1

    • [cs.CV]TACO: Trash Annotations in Context for Litter Detection
    Pedro F Proença, Pedro Simões
    http://arxiv.org/abs/2003.06975v2

    • [cs.CV]Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets
    Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Jose J. Guerrero, Cédric Demonceaux, Luc Van Gool
    http://arxiv.org/abs/2003.07619v1

    • [cs.CV]Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
    Umar Iqbal, Pavlo Molchanov, Jan Kautz
    http://arxiv.org/abs/2003.07581v1

    • [cs.CV]Weakly-Supervised Salient Object Detection via Scribble Annotations
    Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai
    http://arxiv.org/abs/2003.07685v1

    • [cs.CY]FakeYou! — A Gamified Approach for Building and Evaluating Resilience Against Fake News
    Lena Clever, Dennis Assenmacher, Kilian Müller, Moritz Vinzent Seiler, Dennis M. Riehle, Mike Preuss, Christian Grimme
    http://arxiv.org/abs/2003.07595v1

    • [cs.DB]When is Ontology-Mediated Querying Efficient?
    Pablo Barcelo, Cristina Feier, Carsten Lutz, Andreas Pieris
    http://arxiv.org/abs/2003.07800v1

    • [cs.DC]Adapting Persistent Data Structures for Concurrency and Speculation
    Thomas Dickerson
    http://arxiv.org/abs/2003.07395v1

    • [cs.DC]Beyond Alice and Bob: Improved Inapproximability for Maximum Independent Set in CONGEST
    Yuval Efron, Ofer Grossman, Seri Khoury
    http://arxiv.org/abs/2003.07427v1

    • [cs.DC]PigPaxos: Devouring the communication bottlenecks in distributed consensus
    Aleksey Charapko, Ailidani Ailijiang, Murat Demirbas
    http://arxiv.org/abs/2003.07760v1

    • [cs.DC]Store-Collect in the Presence of Continuous Churn with Application to Snapshots and Lattice Agreement
    Hagit Attiya, Sweta Kumari, Archit Somani, Jennifer L. Welch
    http://arxiv.org/abs/2003.07787v1

    • [cs.DC]The Power of Global Knowledge on Self-stabilizing Population Protocols
    Yuichi Sudo, Masahiro Shibata, Junya Nakamura, Yonghwan Kim, Toshimitsu Masuzawa
    http://arxiv.org/abs/2003.07491v1

    • [cs.HC]A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study
    Halgurd S. Maghdid, Kayhan Zrar Ghafoor, Ali Safaa Sadiq, Kevin Curran, Khaled Rabie
    http://arxiv.org/abs/2003.07434v1

    • [cs.HC]AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment
    Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes, Aryya Gangopadhyay, Elizabeth Galik
    http://arxiv.org/abs/2003.07492v1

    • [cs.HC]Harnessing Explanations to Bridge AI and Humans
    Vivian Lai, Samuel Carton, Chenhao Tan
    http://arxiv.org/abs/2003.07370v1

    • [cs.IR]Identifying Notable News Stories
    Antonia Saravanou, Giorgio Stefanoni, Edgar Meij
    http://arxiv.org/abs/2003.07461v1

    • [cs.IR]Overview of the TREC 2019 deep learning track
    Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees
    http://arxiv.org/abs/2003.07820v1

    • [cs.IT]Binary LCD Codes and Self-orthogonal Codes via Simplicial Complexes
    Yansheng Wu, Yoonjin Lee
    http://arxiv.org/abs/2003.07534v1

    • [cs.IT]Cooperative Object Detection and Parameter Estimation Using Visible Light Communications
    Hamid Hosseinianfar, Maite Brandt-Pearce
    http://arxiv.org/abs/2003.07525v1

    • [cs.IT]Linear Regression without Correspondences via Conca
    1230
    ve Minimization
    Liangzu Peng, Manolis C. Tsakiris
    http://arxiv.org/abs/2003.07706v1

    • [cs.IT]Resource Allocation for IRS-assisted Full-Duplex Cognitive Radio Systems
    Dongfang Xu, Xianghao Yu, Yan Sun, Derrick Wing Kwan Ng, Robert Schober
    http://arxiv.org/abs/2003.07467v1

    • [cs.LG]A Numerical Transform of Random Forest Regressors corrects Systematically-Biased Predictions
    Shipra Malhotra, John Karanicolas
    http://arxiv.org/abs/2003.07445v1

    • [cs.LG]A Unified View of Label Shift Estimation
    Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary C. Lipton
    http://arxiv.org/abs/2003.07554v1

    • [cs.LG]A comprehensive study on the prediction reliability of graph neural networks for virtual screening
    Soojung Yang, Kyung Hoon Lee, Seongok Ryu
    http://arxiv.org/abs/2003.07611v1

    • [cs.LG]ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition
    Parastoo Alinia, Iman Mirzadeh, Hassan Ghasemzadeh
    http://arxiv.org/abs/2003.07415v1

    • [cs.LG]Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
    Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
    http://arxiv.org/abs/2003.07756v1

    • [cs.LG]Efficient Bitwidth Search for Practical Mixed Precision Neural Network
    Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu
    http://arxiv.org/abs/2003.07577v1

    • [cs.LG]Energy-Based Processes for Exchangeable Data
    Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans
    http://arxiv.org/abs/2003.07521v1

    • [cs.LG]Explaining Memorization and Generalization: A Large-Scale Study with Coherent Gradients
    Piotr Zielinski, Shankar Krishnan, Satrajit Chatterjee
    http://arxiv.org/abs/2003.07422v1

    • [cs.LG]Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
    Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White
    http://arxiv.org/abs/2003.07417v1

    • [cs.LG]Learnergy: Energy-based Machine Learners
    Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa
    http://arxiv.org/abs/2003.07443v1

    • [cs.LG]MPE: A Mobility Pattern Embedding Model for Predicting Next Locations
    Meng Chen, Xiaohui Yu, Yang Liu
    http://arxiv.org/abs/2003.07782v1

    • [cs.LG]Multi-action Offline Policy Learning with Bayesian Optimization
    Fang Cai, Zhaonan Qu, Li Xia, Zhengyuan Zhou
    http://arxiv.org/abs/2003.07545v1

    • [cs.LG]Neighborhood-based Pooling for Population-level Label Distribution Learning
    Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan
    http://arxiv.org/abs/2003.07406v1

    • [cs.LG]Nonparametric Deconvolution Models
    Allison J. B. Chaney, Archit Verma, Young-suk Lee, Barbara E. Engelhardt
    http://arxiv.org/abs/2003.07718v1

    • [cs.LG]Partial Multi-label Learning with Label and Feature Collaboration
    Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo
    http://arxiv.org/abs/2003.07578v1

    • [cs.LG]Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)
    Ziang Liu, Hanbin Luo, Weili Fang, Jiajing Liu, Dongrui Wu
    http://arxiv.org/abs/2003.07658v1

    • [cs.LG]Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions
    Wolfgang Erb
    http://arxiv.org/abs/2003.07646v1

    • [cs.LG]Spectral Graph Attention Network
    Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
    http://arxiv.org/abs/2003.07450v1

    • [cs.LG]Tensor Graph Convolutional Networks for Multi-relational and Robust Learning
    Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
    http://arxiv.org/abs/2003.07729v1

    • [cs.LG]Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond
    Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller
    http://arxiv.org/abs/2003.07631v1

    • [cs.LG]Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder
    Andre Mendes, Julian Togelius, Leandro dos Santos Coelho
    http://arxiv.org/abs/2003.07779v1

    • [cs.LG]Verification of Neural Networks: Enhancing Scalability through Pruning
    Dario Guidotti, Francesco Leofante, Luca Pulina, Armando Tacchella
    http://arxiv.org/abs/2003.07636v1

    • [cs.NE]Research on a New Convolutional Neural Network Model Combined with Random Edges Adding
    Xuanyu Shu, Jin Zhang, Sen Tian, Sheng chen, Lingyu Chen
    http://arxiv.org/abs/2003.07794v1

    • [cs.NE]Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach
    Elie Aljalbout, Florian Walter, Florian Röhrbein, Alois Knoll
    http://arxiv.org/abs/2003.07477v1

    • [cs.NE]iNALU: Improved Neural Arithmetic Logic Unit
    Daniel Schlör, Markus Ring, Andreas Hotho
    http://arxiv.org/abs/2003.07629v1

    • [cs.NI]Time-Weighted Coverage of Integrated Aerial and Ground Networks for Post-Disaster Communications
    Xiaoli Xu, Yong Zeng
    http://arxiv.org/abs/2003.07599v1

    • [cs.PF]How Fast Can We Insert? A Performance Study of Apache Kafka
    Guenter Hesse, Christoph Matthies, Tilmann Rabl, Matthias Uflacker
    http://arxiv.org/abs/2003.06452v1

    • [cs.PF]Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction
    Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna
    http://arxiv.org/abs/2003.07497v1

    • [cs.RO]Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing
    Xichen Shi, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung
    http://arxiv.org/abs/2003.07558v1

    • [cs.RO]An Experimental Evaluation of Robustness and Precision for Long-term LiDAR-based Localization in Highly Changing Environments
    Salvador Dominguez, Gaëtan Garcia, Vincent Frémont, Arnaud Hamon
    http://arxiv.org/abs/2003.07726v1

    • [cs.RO]Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
    Ke Dong, Karime Pereida, Florian Shkurti, Angela P. Schoellig
    http://arxiv.org/abs/2003.07489v1

    • [cs.RO]CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes
    Pablo Pueyo, Eric Cristofalo, Eduardo Montijano, Mac Schwager
    http://arxiv.org/abs/2003.07664v1

    • [cs.RO]Data-driven Characterization of Human Interaction for Model-based Control of Powered Prostheses
    Rachel Gehlhar, Yuxiao Chen, Aaron D. Ames
    http://arxiv.org/abs/2003.07524v1

    • [cs.RO]Evaluation of Cross-View Matching to Improve Ground Vehicle Localization with Aerial Perception
    Deeksha Dixit, Pratap Tokekar
    http://arxiv.org/abs/2003.06515v2

    • [cs.RO]Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles
    Charles Dawson, Andreas Hofmann, Brian Williams
    http://arxiv.org/abs/2003.07792v1

    • [cs.RO]Longitudinal Dynamics Model Identification of an Electric Car Based on Real Response Approximation
    Salvador Dominguez, Gaëtan Garcia, Arnaud Hamon, Vincent Frémont
    http://arxiv.org/abs/2003.07738v1

    • [cs.RO]Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles
    Charles Dawson, Ashkan Jasour, Andreas Hofmann, Brian Williams
    http://arxiv.org/abs/2003.07811v1

    • [cs.RO]Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning
    Valentin N. Hartmann, Ozgur S. Oguz, Danny Driess, Marc Toussaint, Achim Menges
    http://arxiv.org/abs/2003.07754v1

    • [cs.RO]Towards Transparent Robotic Planning via Contrastive Explanations
    Shenghui Chen, Kayla Boggess, Lu Feng
    http://arxiv.org/abs/2003.07425v1

    • [cs.RO]Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning
    Guilherme Maeda, Joni Väätäinen, Hironori Yoshida
    http://arxiv.org/abs/2003.06977v2

    • [cs.SI]COVID-19: The First Public Coronavirus Twitter Dataset
    Emily Chen, Kristina Lerman, Emilio Ferrara
    http://arxiv.org/abs/2003.07372v1

    • [cs.SI]Can Celebrities Burst Your Bubble?
    Tuğrulcan Elmas, Kristina Hardi, Rebekah Overdorf, Karl Aberer
    http://arxiv.org/abs/2003.06857v2

    • [cs.SI]SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting
    Chen Ling, Ruiqi Wang, Guangmo Tong
    http://arxiv.org/abs/2003.07189v1

    • [cs.SI]TraLFM: Latent Factor Modeling of Traffic Trajectory Data
    Meng Chen, Xiaohui Yu, Yang Liu
    http://arxiv.org/abs/2003.07780v1

    • [eess.AS]High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model
    Jinyu Li, Rui Zhao, Eric Sun, Jeremy H. M. Wong, Amit Das, Zhong Meng, Yifan Gong
    http://arxiv.org/abs/2003.07482v1

    • [eess.AS]TensorFlow Audio Models in Essentia
    Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons, Xavier Serra
    http://arxiv.org/abs/2003.07393v1

    • [eess.IV]A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images
    Pourya Shamsolmoali, Masoumeh Zareapoor, Ruili Wang, Huiyu Zhou, Jie Yang
    http://arxiv.org/abs/2003.07784v1

    • [eess.IV]CycleISP: Real Image Restoration via Improved Data Synthesis
    Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao
    http://arxiv.org/abs/2003.07761v1

    • [eess.IV]Cytology Image Analysis Techniques Towards Automation: Systematically Revisited
    Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar
    http://arxiv.org/abs/2003.07529v1

    • [eess.IV]DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine
    Jean Ollion, Charles Ollion
    http://arxiv.org/abs/2003.07790v1

    • [eess.IV]Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset
    Yuting Hu, Zhiling Long, Anirudha Sundaresan, Motaz Alfarraj, Ghassan AlRegib, Sungmee Park, Sundaresan Jayaraman
    http://arxiv.org/abs/2003.07725v1

    • [eess.IV]Radiomic feature selection for lung cancer classifiers
    Hina Shakir, Haroon Rasheed, Tariq Mairaj Rasool Khan
    http://arxiv.org/abs/2003.07098v1

    • [eess.IV]SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
    Yilei Shi, Richard Bamler, Yuanyuan Wang, Xiao Xiang Zhu
    http://arxiv.org/abs/2003.07803v1

    • [eess.IV]Synthesis of Brain Tumor MR Images for Learning Data Augmentation
    Sunho Kim, Byungjai Kim, HyunWook Park
    http://arxiv.org/abs/2003.07526v1

    • [eess.IV]Virtual staining for mitosis detection in Breast Histopathology
    Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi
    http://arxiv.org/abs/2003.07801v1

    • [eess.IV]u-net CNN based fourier ptychography
    Yican Chen, Zhi Luo, Xia Wu, Huidong Yang, Bo Huang
    http://arxiv.org/abs/2003.07460v1

    • [eess.SP]Leakage-Based Robust Beamforming for Multi-Antenna Broadcast System with Per-Antenna Power Constraints and Quantized CDI
    Ming Ding, Meng Zhang, Hanwen Luo, Wen Chen
    http://arxiv.org/abs/2003.07537v1

    • [eess.SP]MMSE Based Greedy Antenna Selection Scheme for AF MIMO Relay Systems
    Ming Ding, Shi Liu, Hanwen Luo, Wen Chen
    http://arxiv.org/abs/2003.07538v1

    • [eess.SP]Sequential and Incremental Precoder Design for Joint Transmission Network MIMO Systems with Imperfect Backhaul
    Ming Ding, Jun Zou, Zeng Yang, Hanwen Luo, Wen Chen
    http://arxiv.org/abs/2003.07536v1

    • [eess.SP]Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning
    Yong Zeng, Xiaoli Xu, Shi Jin, Rui Zhang
    http://arxiv.org/abs/2003.07574v1

    • [eess.SY]Data Set Description: Identifying the Physics Behind an Electric Motor — Data-Driven Learning of the Electrical Behavior (Part I)
    Sören Hanke, Oliver Wallscheid, Joachim Böcker
    http://arxiv.org/abs/2003.07273v2

    • [eess.SY]Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World
    Daniel J. Fremont, Edward Kim, Yash Vardhan Pant, Sanjit A. Seshia, Atul Acharya, Xantha Bruso, Paul Wells, Steve Lemke, Qiang Lu, Shalin Mehta
    http://arxiv.org/abs/2003.07739v1

    • [eess.SY]Nonlinear system identification with regularized Tensor Network B-splines
    Ridvan Karagoz, Kim Batselier
    http://arxiv.org/abs/2003.07594v1

    • [eess.SY]Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition
    Sungho Shin, Qiugang Lu, Victor M. Zavala
    http://arxiv.org/abs/2003.07410v1

    • [math.ST]Adaptive Learning Rates for Support Vector Machines Working on Data with Low Intrinsic Dimension
    Thomas Hamm, Ingo Steinwart
    http://arxiv.org/abs/2003.06202v2

    • [physics.app-ph]Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach
    Akshay Subramanian, Utkarsh Saha, Tejasvini Sharma, Naveen K. Tailor, Soumitra Satapathi
    http://arxiv.org/abs/2003.07666v1

    • [physics.geo-ph]Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing
    Bas Peters, Eldad Haber, Keegan Lensink
    http://arxiv.org/abs/2003.07474v1

    • [physics.soc-ph]Exchanging small amounts of opinions outperforms sharing aggregated opinions of large crowds
    Bertrand Jayles, Ralf H. J. M Kurvers
    http://arxiv.org/abs/2003.06802v1

    • [q-bio.PE]Adaptive Bet-Hedging Revisited: Considerations of Risk and Time Horizon
    Omri Tal, Tat Dat Tran
    http://arxiv.org/abs/2003.06793v2

    • [q-bio.PE]Day Level Forecasting for Coronavirus Disease (COVID-19) Spread: Analysis, Modeling and Recommendations
    Haytham H. Elmousalami, Aboul Ella Hassanien
    http://arxiv.org/abs/2003.07778v1

    • [q-bio.PE]Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics
    Malik Magdon-Ismail
    http://arxiv.org/abs/2003.07602v1

    • [quant-ph]Unsupervised machine learning of quantum phase transitions using diffusion maps
    Alexander Lidiak, Zhexuan Gong
    http://arxiv.org/abs/2003.07399v1

    • [stat.AP]Applying the Network Item Response Model to Student Assessment Data
    Alex Brodersen, Ick Hoon Jin, Ying Cheng, Minjeong Jeon
    http://arxiv.org/abs/2003.07657v1

    • [stat.ME]A Bayesian Nonparametric Latent Space Approach to Modeling Evolving Communities in Dynamic Networks
    Joshua Daniel Loyal, Yuguo Chen
    http://arxiv.org/abs/2003.07404v1

    • [stat.ME]Degree irregularity and rank probability bias in network meta-analysis
    Annabel L Davies, Tobias Galla
    http://arxiv.org/abs/2003.07662v1

    • [stat.ME]Directionally Dependent Multi-View Clustering Using Copula Model
    Kahkashan Afrin, Ashif S. Iquebal, Mostafa Karimi, Allyson Souris, Se Yoon Lee, Bani K. Mallick
    http://arxiv.org/abs/2003.07494v1

    • [stat.ME]Generalizing Randomized Trial Findings to a Target Population using Complex Survey Population Data
    Benjamin Ackerman, Catherine R. Lesko, Juned Siddique, Ryoko Susukida, Elizabeth A. Stuart
    http://arxiv.org/abs/2003.07500v1

    • [stat.ME]Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods
    Jiacong Du, Jonathan Boss, Peisong Han, Lauren J Beesley, Stephen A Goutman, Stuart Batterman, Eva L Feldman, Bhramar Mukherjee
    http://arxiv.org/abs/2003.07398v1

    • [stat.ML]Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions
    Lili Zheng, Garvesh Raskutti, Rebecca Willett, Benjamin Mark
    http://arxiv.org/abs/2003.07429v1

    • [stat.ML]Fair inference on error-prone outcomes
    Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
    http://arxiv.org/abs/2003.07621v1

    • [stat.ML]The Implicit Regularization of Stochastic Gradient Flow for Least Squares
    Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani
    http://arxiv.org/abs/2003.07802v1