cond-mat.dis-nn - 无序系统与神经网络

    cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CG - 计算几何学 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.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.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 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 math.CO - 组合数学 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.hist-ph - 物理历史与哲学 q-bio.MN - 分子网络 q-bio.PE - 人口与发展 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Replica analysis of overfitting in generalized linear models
    • [cs.AI]Ants can orienteer a thief in their robbery
    • [cs.AI]FOND Planning for LTLf and PLTLf Goals
    • [cs.CC]Learning sums of powers of low-degree polynomials in the non-degenerate case
    • [cs.CG]Coresets for Clustering in Euclidean Spaces: Importance Sampling is Nearly Optimal
    • [cs.CL]A Human Evaluation of AMR-to-English Generation Systems
    • [cs.CL]A Simple Yet Strong Pipeline for HotpotQA
    • [cs.CL]Analyzing analytical methods: The case of phonology in neural models of spoken language
    • [cs.CL]Balancing Training for Multilingual Neural Machine Translation
    • [cs.CL]Classifying Constructive Comments
    • [cs.CL]Coreferential Reasoning Learning for Language Representation
    • [cs.CL]Document-level Representation Learning using Citation-informed Transformers
    • [cs.CL]Entities as Experts: Sparse Memory Access with Entity Supervision
    • [cs.CL]Exploring Probabilistic Soft Logic as a framework for integrating top-down and bottom-up processing of language in a task context
    • [cs.CL]Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter
    • [cs.CL]On the Linguistic Capacity of Real-Time Counter Automata
    • [cs.CL]PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
    • [cs.CL]PoKi: A Large Dataset of Poems by Children
    • [cs.CL]ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues
    • [cs.CR]Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers
    • [cs.CR]Interpretable Probabilistic Password Strength Meters via Deep Learning
    • [cs.CR]Unifying Privacy Loss Composition for Data Analytics
    • [cs.CV]A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box
    • [cs.CV]A Practical Blockchain Framework using Image Hashing for Image Authentication
    • [cs.CV]A Transductive Approach for Video Object Segmentation
    • [cs.CV]A recurrent cycle consistency loss for progressive face-to-face synthesis
    • [cs.CV]Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
    • [cs.CV]Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
    • [cs.CV]Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
    • [cs.CV]Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
    • [cs.CV]Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device
    • [cs.CV]Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery
    • [cs.CV]Continuous learning of face attribute synthesis
    • [cs.CV]DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation
    • [cs.CV]Explaining Regression Based Neural Network Model
    • [cs.CV]Fully Convolutional Online Tracking
    • [cs.CV]Intuitive, Interactive Beard and Hair Synthesis with Generative Models
    • [cs.CV]Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
    • [cs.CV]Line Art Correlation Matching Network for Automatic Animation Colorization
    • [cs.CV]Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
    • [cs.CV]RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
    • [cs.CV]Seeing Red: PPG Biometrics Using Smartphone Cameras
    • [cs.CV]Self-Supervised training for blind multi-frame video denoising
    • [cs.CV]The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
    • [cs.CV]Using Player’s Body-Orientation to Model Pass Feasibility in Soccer
    • [cs.CV]Visual Descriptor Learning from Monocular Video
    • [cs.CY]Moral decisions in the age of COVID-19: your choices really matter
    • [cs.CY]Online Information Search During COVID-19
    • [cs.CY]Standardisation of practices in Open Source Hardware
    • [cs.CY]The impact of Industry 4.0 technologies on production and supply chains
    • [cs.CY]Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
    • [cs.DB]NN-based Transformation of Any SQL Cardinality Estimator for Handling DISTINCT, AND, OR and NOT
    • [cs.DC]Fair and Efficient Gossip in Hyperledger Fabric
    • [cs.DC]HODET: Hybrid Object DEtection and Tracking using mmWave Radar and Visual Sensors
    • [cs.DC]Implementing Software Resiliency in HPX for Extreme Scale Computing
    • [cs.DC]The Binary Vector Clock
    • [cs.DL]Daily growth rate of scientific production on Covid-19. Analysis in databases and open access repositories
    • [cs.HC]Hiring Fairly in the Age of Algorithms
    • [cs.HC]Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge
    • [cs.HC]Investigating usability of mobile health applications in Bangladesh
    • [cs.HC]Mirror Ritual: Human-Machine Co-Construction of Emotion
    • [cs.HC]Using Experimental Vignettes to Study Early-Stage Automation Adoption
    • [cs.IR]Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)
    • [cs.IR]Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph
    • [cs.IT]Beamforming and Resource Allocation for Multi-User Full-Duplex Wireless Powered Communications in IoT Networks
    • [cs.IT]Channel Feedback for Reconfigurable Intelligent Surface Assisted Wireless Communications
    • [cs.IT]Cyclic and convolutional codes with locality
    • [cs.IT]Decoding algorithms of monotone codes and azinv codes and their unified view
    • [cs.IT]Intelligent Slicing of Radio Resource Control Layer for Cellular IoT: Design and Implementation
    • [cs.IT]On Cyclic Polar Codes and The Burst Erasure Performance of Spatially-Coupled LDPC Codes
    • [cs.IT]Pilot Assignment in Cell-Free Massive MIMO based on the Hungarian Algorithm
    • [cs.IT]Resolution Limits of Non-Adaptive Querying for Noisy 20 Questions Estimation
    • [cs.IT]Sampling Rates for $\ell^1$-Synthesis
    • [cs.LG]A function space analysis of finite neural networks with insights from sampling theory
    • [cs.LG]ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
    • [cs.LG]BabyAI++: Towards Grounded-Language Learning beyond Memorization
    • [cs.LG]Bayesian differential programming for robust systems identification under uncertainty
    • [cs.LG]Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
    • [cs.LG]Bootstrapped model learning and error correction for planning with uncertainty in model-based RL
    • [cs.LG]Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
    • [cs.LG]Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis
    • [cs.LG]Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing
    • [cs.LG]Datasets for Data-Driven Reinforcement Learning
    • [cs.LG]Differentially Private Assouad, Fano, and Le Cam
    • [cs.LG]Effect of Input Noise Dimension in GANs
    • [cs.LG]Extrapolation in Gridworld Markov-Decision Processes
    • [cs.LG]LOCA: LOcal Conformal Autoencoder for standardized data coordinates
    • [cs.LG]Minimizing Interference and Selection Bias in Network Experiment Design
    • [cs.LG]MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning
    • [cs.LG]Neural Status Registers
    • [cs.LG]On Learning Rates and Schrödinger Operators
    • [cs.LG]Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
    • [cs.LG]lamBERT: Language and Action Learning Using Multimodal BERT
    • [cs.LO]Prolog Technology Reinforcement Learning Prover
    • [cs.NE]From Understanding Genetic Drift to a Smart-Restart Parameter-less Compact Genetic Algorithm
    • [cs.NE]Genetic Algorithm for the Weight Maximization Problem on Weighted Automata
    • [cs.NE]Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders
    • [cs.NE]On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
    • [cs.NE]Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
    • [cs.NE]Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images
    • [cs.NE]Understanding Aesthetic Evaluation using Deep Learning
    • [cs.NI]Cloud Storage Architecture: Research Challenges and Opportunities
    • [cs.PF]Scalability of High-Performance PDE Solvers
    • [cs.RO]Autocalibration of a Mobile UWB Localization System for Ad-Hoc Multi-Robot Deployments in GNSS-Denied Environments
    • [cs.RO]Combining Geometric and Information-Theoretic Approaches for Multi-Robot Exploration
    • [cs.RO]Exploration of Indoor Environments Predicting the Layout of Partially Observed Rooms
    • [cs.RO]Hand-worn Haptic Interface for Drone Teleoperation
    • [cs.RO]Interpretable Safety Validation for Autonomous Vehicles
    • [cs.RO]Quadrupedal Locomotion via Event-Based Predictive Control and QP-Based Virtual Constraints
    • [cs.RO]Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration
    • [cs.RO]Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition
    • [cs.SD]Musical Features for Automatic Music Transcription Evaluation
    • [cs.SI]”Stay Nearby or Get Checked”: A Covid-19 Lockdown Exit Strategy
    • [cs.SI]Caching Structures for Distributed Data Management in P2P-based Social Networks
    • [cs.SI]Deep Learning Models for Multilingual Hate Speech Detection
    • [cs.SI]Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model
    • [cs.SI]Provable Overlapping Community Detection in Weighted Graphs
    • [cs.SI]Roommate Compatibility Detection Through Machine Learning Techniques
    • [cs.SI]SI-spreading-based network embedding in static and temporal networks
    • [cs.SI]Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing
    • [eess.AS]Alzheimer’s Dementia Recognition through Spontaneous Speech: The ADReSS Challenge
    • [eess.AS]Speaker Diarization with Lexical Information
    • [eess.IV]4DFlowNet: Super-Resolution 4D Flow MRI using Deep Learning and Computational Fluid Dynamics
    • [eess.IV]Analysis of Scoliosis From Spinal X-Ray Images
    • [eess.IV]End-to-End Variational Networks for Accelerated MRI Reconstruction
    • [eess.IV]Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
    • [eess.IV]Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank
    • [eess.IV]Image Segmentation Using Hybrid Representations
    • [eess.IV]JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
    • [eess.IV]Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images
    • [eess.IV]MXR-U-Nets for Real Time Hyperspectral Reconstruction
    • [eess.IV]Melanoma Detection using Adversarial Training and Deep Transfer Learning
    • [eess.IV]Mosaic Super-resolution via Sequential Feature Pyramid Networks
    • [eess.IV]On Box-Cox Transformation for Image Normality and Pattern Classification
    • [eess.IV]Parametric Design of Underwater Optical Systems
    • [eess.IV]Residual-driven Fuzzy C-Means Clustering for Image Segmentation
    • [eess.IV]Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
    • [eess.SP]Channel Hardening in Massive MIMO: Model Parameters and Experimental Assessment
    • [eess.SP]The Road to 6G: Ten Physical Layer Challenges for Communications Engineers
    • [math.CO]Classification of optimal quaternary Hermitian LCD codes of dimension $2$
    • [math.DS]The Circumbilliard: Any Triangle can be a 3-Periodic
    • [math.NA]MeshingNet: A New Mesh Generation Method based on Deep Learning
    • [math.NA]Norm and trace estimation with random rank-one vectors
    • [math.OC]On Dissipative Symplectic Integration with Applications to Gradient-Based Optimization
    • [math.OC]On Linear Optimization over Wasserstein Balls
    • [math.PR]Analysis of Stochastic Gradient Descent in Continuous Time
    • [math.PR]High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case
    • [math.ST]Eigen selection in spectral clustering: a theory guided practice
    • [math.ST]On uniform consistency of nonparametric tests II
    • [math.ST]Rank-based change-point analysis for long-range dependent time series
    • [physics.hist-ph]Does purely physical information have meaning? A comment on Carlo Rovelli’s paper: Meaning = information + evolution [arXiv:1611.02420]
    • [q-bio.MN]Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
    • [q-bio.PE]Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi
    • [q-bio.PE]The Tajima heterochronous n-coalescent: inference from heterochronously sampled molecular data
    • [q-fin.RM]A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving
    • [quant-ph]Classical Coding Approaches to Quantum Applications
    • [stat.AP]A decision support system for addressing food security in the UK
    • [stat.AP]Mendelian randomization and causal networks for systematic analysis of omics
    • [stat.CO]Extensions of Random Orthogonal Matrix Simulation for Targetting Kollo Skewness
    • [stat.ME]A Sensitivity Matrix Based Methodology for Inverse Problem Formulation
    • [stat.ME]Group Testing for COVID-19: How to Stop Worrying and Test More
    • [stat.ME]Prediction meets causal inference: the role of treatment in clinical prediction models
    • [stat.ML]Dark Experience for General Continual Learning: a Strong, Simple Baseline
    • [stat.ML]Dynamic Bayesian Neural Networks

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    • [cond-mat.dis-nn]Replica analysis of overfitting in generalized linear models
    ACC Coolen, M Sheikh, A Mozeika, F Aguirre-Lopez, F Antenucci
    http://arxiv.org/abs/2004.06329v1

    • [cs.AI]Ants can orienteer a thief in their robbery
    Jonatas B. C. Chagas, Markus Wagner
    http://arxiv.org/abs/2004.07017v1

    • [cs.AI]FOND Planning for LTLf and PLTLf Goals
    Francesco Fuggitti
    http://arxiv.org/abs/2004.07027v1

    • [cs.CC]Learning sums of powers of low-degree polynomials in the non-degenerate case
    Ankit Garg, Neeraj Kayal, Chandan Saha
    http://arxiv.org/abs/2004.06898v1

    • [cs.CG]Coresets for Clustering in Euclidean Spaces: Importance Sampling is Nearly Optimal
    Lingxiao Huang, Nisheeth K. Vishnoi
    http://arxiv.org/abs/2004.06263v2

    • [cs.CL]A Human Evaluation of AMR-to-English Generation Systems
    Emma Manning, Shira Wein, Nathan Schneider
    http://arxiv.org/abs/2004.06814v1

    • [cs.CL]A Simple Yet Strong Pipeline for HotpotQA
    Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal
    http://arxiv.org/abs/2004.06753v1

    • [cs.CL]Analyzing analytical methods: The case of phonology in neural models of spoken language
    Grzegorz Chrupała, Bertrand Higy, Afra Alishahi
    http://arxiv.org/abs/2004.07070v1

    • [cs.CL]Balancing Training for Multilingual Neural Machine Translation
    Xinyi Wang, Yulia Tsvetkov, Graham Neubig
    http://arxiv.org/abs/2004.06748v1

    • [cs.CL]Classifying Constructive Comments
    Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
    http://arxiv.org/abs/2004.05476v2

    • [cs.CL]Coreferential Reasoning Learning for Language Representation
    Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu
    http://arxiv.org/abs/2004.06870v1

    • [cs.CL]Document-level Representation Learning using Citation-informed Transformers
    Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld
    http://arxiv.org/abs/2004.07180v1

    • [cs.CL]Entities as Experts: Sparse Memory Access with Entity Supervision
    Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski
    http://arxiv.org/abs/2004.07202v1

    • [cs.CL]Exploring Probabilistic Soft Logic as a framework for integrating top-down and bottom-up processing of language in a task context
    Johannes Dellert
    http://arxiv.org/abs/2004.07000v1

    • [cs.CL]Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter
    Philipp Wicke, Marianna M. Bolognesi
    http://arxiv.org/abs/2004.06986v1

    • [cs.CL]On the Linguistic Capacity of Real-Time Counter Automata
    William Merrill
    http://arxiv.org/abs/2004.06866v1

    • [cs.CL]PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
    Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang
    http://arxiv.org/abs/2004.07159v1

    • [cs.CL]PoKi: A Large Dataset of Poems by Children
    Will E. Hipson, Saif M. Mohammad
    http://arxiv.org/abs/2004.06188v2

    • [cs.CL]ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues
    Chien-Sheng Wu, Steven Hoi, Richard Socher, Caiming Xiong
    http://arxiv.org/abs/2004.06871v1

    • [cs.CR]Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers
    Yusi Lei, Sen Chen, Lingling Fan, Fu Song, Yang Liu
    http://arxiv.org/abs/2004.06954v1

    • [cs.CR]Interpretable Probabilistic Password Strength Meters via Deep Learning
    Dario Pasquini, Giuseppe Ateniese, Massimo Bernsaschi
    http://arxiv.org/abs/2004.07179v1

    • [cs.CR]Unifying Privacy Loss Composition for Data Analytics
    Mark Cesar, Ryan Rogers
    http://arxiv.org/abs/2004.07223v1

    • [cs.CV]A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box
    Linhao Li, Zhiqiang Zhou, Bo Wang, Lingjuan Miao, Hua Zong
    http://arxiv.org/abs/2004.07124v1

    • [cs.CV]A Practical Blockchain Framework using Image Hashing for Image Authentication
    Cameron White, Manoranjan Paul, Subrata Chakraborty
    http://arxiv.org/abs/2004.06860v1

    • [cs.CV]A Transductive Approach for Video Object Segmentation
    Zhang Yizhuo, Wu Zhirong, Peng Houwen, Lin Stephen
    http://arxiv.org/abs/2004.07193v1

    • [cs.CV]A recurrent cycle consistency loss for progressive face-to-face synthesis
    Enrique Sanchez, Michel Valstar
    http://arxiv.org/abs/2004.07165v1

    • [cs.CV]Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
    Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez
    http://arxiv.org/abs/2004.07173v1

    • [cs.CV]Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
    Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
    http://arxiv.org/abs/2004.06816v1

    • [cs.CV]Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
    Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi
    http://arxiv.org/abs/2004.06780v1

    • [cs.CV]Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
    Luigi T. Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo M. Bianchi, Gabriele Moser, Robert Jenssen, Stian N. Anfinsen
    http://arxiv.org/abs/2004.07011v1

    • [cs.CV]Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device
    Zheng Jiang, Menghan Hu, Lei Fan, Yaling Pan, Wei Tang, Guangtao Zhai, Yong Lu
    http://arxiv.org/abs/2004.06912v1

    • [cs.CV]Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery
    Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With
    http://arxiv.org/abs/2004.07018v1

    • [cs.CV]Continuous learning of face attribute synthesis
    Xin Ning, Shaohui Xu, Xiaoli Dong, Weijun Li, Fangzhe Nan, Yuanzhou Yao
    http://arxiv.org/abs/2004.06904v1

    • [cs.CV]DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation
    Edouard Yvinec, Arnaud Dapogny, Kévin Bailly
    http://arxiv.org/abs/2004.07098v1

    • [cs.CV]Explaining Regression Based Neural Network Model
    Mégane Millan, Catherine Achard
    http://arxiv.org/abs/2004.06918v1

    • [cs.CV]Fully Convolutional Online Tracking
    Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu
    http://arxiv.org/abs/2004.07109v1

    • [cs.CV]Intuitive, Interactive Beard and Hair Synthesis with Generative Models
    Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li
    http://arxiv.org/abs/2004.06848v1

    • [cs.CV]Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
    Lin Wang, Kuk-Jin Yoon
    http://arxiv.org/abs/2004.05937v2

    • [cs.CV]Line Art Correlation Matching Network for Automatic Animation Colorization
    Zhang Qian, Wang Bo, Wen Wei, Li Hai, Liu Jun Hui
    http://arxiv.org/abs/2004.06718v1

    • [cs.CV]Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
    Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
    http://arxiv.org/abs/2004.06165v2

    • [cs.CV]RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
    Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
    http://arxiv.org/abs/2004.06799v1

    • [cs.CV]Seeing Red: PPG Biometrics Using Smartphone Cameras
    Giulio Lovisotto, Henry Turner, Simon Eberz, Ivan Martinovic
    http://arxiv.org/abs/2004.07088v1

    • [cs.CV]Self-Supervised training for blind multi-frame video denoising
    Dewil Valéry, Arias Pablo, Facciolo Gabriele, Anger Jérémy, Davy Axel, Ehret Thibaud
    http://arxiv.org/abs/2004.06957v1

    • [cs.CV]The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
    Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen, Rama Chellappa
    http://arxiv.org/abs/2004.06271v2

    • [cs.CV]Using Player’s Body-Orientation to Model Pass Feasibility in Soccer
    Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Coloma Ballester, Gloria Haro
    http://arxiv.org/abs/2004.07209v1

    • [cs.CV]Visual Descriptor Learning from Monocular Video
    Umashankar Deekshith, Nishit Gajjar, Max Schwarz, Sven Behnke
    http://arxiv.org/abs/2004.07007v1

    • [cs.CY]Moral decisions in the age of COVID-19: your choices really matter
    Francesco Donnarumma, Giovanni Pezzulo
    http://arxiv.org/abs/2004.07081v1

    • [cs.CY]Online Information Search During COVID-19
    Benjamin Lucas, Brendan Elliot, Todd Landman
    http://arxiv.org/abs/2004.07183v1

    • [cs.CY]Standardisation of practices in Open Source Hardware
    Jérémy Bonvoisin, Jenny Molloy, Martin Haeuer, Tobias Wenzel
    http://arxiv.org/abs/2004.07143v1

    • [cs.CY]The impact of Industry 4.0 technologies on production and supply chains
    Davood Qorbani, Stefan Groesser
    http://arxiv.org/abs/org/abs/2004.06983v1

    • [cs.CY]Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
    Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensbold, Cullen O’Keefe, Mark Koren, Théo Ryffel, JB Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung
    http://arxiv.org/abs/2004.07213v1

    • [cs.DB]NN-based Transformation of Any SQL Cardinality Estimator for Handling DISTINCT, AND, OR and NOT
    Rojeh Hayek, Oded Shmueli
    http://arxiv.org/abs/2004.07009v1

    • [cs.DC]Fair and Efficient Gossip in Hyperledger Fabric
    Nicolae Berendea, Hugues Mercier, Emanuel Onica, Etienne Rivière
    http://arxiv.org/abs/2004.07060v1

    • [cs.DC]HODET: Hybrid Object DEtection and Tracking using mmWave Radar and Visual Sensors
    Joseph St. Cyr, Joshua Vanderpool, Yu Chen, Xiaohua Li
    http://arxiv.org/abs/2004.06861v1

    • [cs.DC]Implementing Software Resiliency in HPX for Extreme Scale Computing
    Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser
    http://arxiv.org/abs/2004.07203v1

    • [cs.DC]The Binary Vector Clock
    Lum Ramabaja
    http://arxiv.org/abs/2004.07087v1

    • [cs.DL]Daily growth rate of scientific production on Covid-19. Analysis in databases and open access repositories
    Daniel Torres-Salinas
    http://arxiv.org/abs/2004.06721v1

    • [cs.HC]Hiring Fairly in the Age of Algorithms
    Max Langenkamp, Allan Costa, Chris Cheung
    http://arxiv.org/abs/2004.07132v1

    • [cs.HC]Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge
    Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney
    http://arxiv.org/abs/2004.06894v1

    • [cs.HC]Investigating usability of mobile health applications in Bangladesh
    Muhammad Nazrul Islam, Md. Mahboob Karim, Toki Tahmid Inan, A. K. M. Najmul Islam
    http://arxiv.org/abs/2004.07044v1

    • [cs.HC]Mirror Ritual: Human-Machine Co-Construction of Emotion
    Nina Rajcic, Jon McCormack
    http://arxiv.org/abs/2004.06883v1

    • [cs.HC]Using Experimental Vignettes to Study Early-Stage Automation Adoption
    Sarah Janboecke, Diana Loeffler, Marc Hassenzahl
    http://arxiv.org/abs/2004.07032v1

    • [cs.IR]Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)
    Carlos-Emiliano González-Gallardo, Eric SanJuan, Juan-Manuel Torres-Moreno
    http://arxiv.org/abs/2004.06747v1

    • [cs.IR]Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph
    Chien-Chun Ni, Kin Sum Liu, Nicolas Torzec
    http://arxiv.org/abs/2004.06842v1

    • [cs.IT]Beamforming and Resource Allocation for Multi-User Full-Duplex Wireless Powered Communications in IoT Networks
    Derek Kwaku Pobi Asiedu, Sumaila Mahama, Changick Song, Dongwan Kim, Kyoung-Jae Lee
    http://arxiv.org/abs/2004.06836v1

    • [cs.IT]Channel Feedback for Reconfigurable Intelligent Surface Assisted Wireless Communications
    Decai Shen, Linglong Dai
    http://arxiv.org/abs/2004.07174v1

    • [cs.IT]Cyclic and convolutional codes with locality
    Zitan Chen, Alexander Barg
    http://arxiv.org/abs/2004.06770v1

    • [cs.IT]Decoding algorithms of monotone codes and azinv codes and their unified view
    Hokuto Takahashi, Manabu Hagiwara
    http://arxiv.org/abs/2004.06931v1

    • [cs.IT]Intelligent Slicing of Radio Resource Control Layer for Cellular IoT: Design and Implementation
    Lian Cao, Rongpeng Li, Jon Crowcroft, Zhifeng Zhao, Honggang Zhang
    http://arxiv.org/abs/2004.06935v1

    • [cs.IT]On Cyclic Polar Codes and The Burst Erasure Performance of Spatially-Coupled LDPC Codes
    Narayanan Rengaswamy
    http://arxiv.org/abs/2004.06875v1

    • [cs.IT]Pilot Assignment in Cell-Free Massive MIMO based on the Hungarian Algorithm
    Stefano Buzzi, Carmen D’Andrea, Maria Fresia, Yong-Ping Zhang, Shulan Feng
    http://arxiv.org/abs/2004.06940v1

    • [cs.IT]Resolution Limits of Non-Adaptive Querying for Noisy 20 Questions Estimation
    Lin Zhou, Alfred Hero
    http://arxiv.org/abs/2004.07231v1

    • [cs.IT]Sampling Rates for $\ell^1$-Synthesis
    Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss
    http://arxiv.org/abs/2004.07175v1

    • [cs.LG]A function space analysis of finite neural networks with insights from sampling theory
    Raja Giryes
    http://arxiv.org/abs/2004.06989v1

    • [cs.LG]ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
    Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard
    http://arxiv.org/abs/2004.06971v1

    • [cs.LG]BabyAI++: Towards Grounded-Language Learning beyond Memorization
    Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam
    http://arxiv.org/abs/2004.07200v1

    • [cs.LG]Bayesian differential programming for robust systems identification under uncertainty
    Yibo Yang, Mohamed Aziz Bhouri, Paris Perdikaris
    http://arxiv.org/abs/2004.06843v1

    • [cs.LG]Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
    Georg Steinbuss, Klemens Böhm
    http://arxiv.org/abs/2004.06947v1

    • [cs.LG]Bootstrapped model learning and error correction for planning with uncertainty in model-based RL
    Alvaro Ovalle, Simon M. Lucas
    http://arxiv.org/abs/2004.07155v1

    • [cs.LG]Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
    Zahraa S. Abdallah, Mohamed Medhat Gaber
    http://arxiv.org/abs/2004.06668v2

    • [cs.LG]Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis
    Godwin Badu-Marfo, Bilal Farooq, Zachary Paterson
    http://arxiv.org/abs/2004.06838v1

    • [cs.LG]Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing
    Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek
    http://arxiv.org/abs/2004.06896v1

    • [cs.LG]Datasets for Data-Driven Reinforcement Learning
    Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, Sergey Levine
    http://arxiv.org/abs/2004.07219v1

    • [cs.LG]Differentially Private Assouad, Fano, and Le Cam
    Jayadev Acharya, Ziteng Sun, Huanyu Zhang
    http://arxiv.org/abs/2004.06830v1

    • [cs.LG]Effect of Input Noise Dimension in GANs
    Manisha Padala, Debojit Das, Sujit Gujar
    http://arxiv.org/abs/2004.06882v1

    • [cs.LG]Extrapolation in Gridworld Markov-Decision Processes
    Eugene Charniak
    http://arxiv.org/abs/2004.06784v1

    • [cs.LG]LOCA: LOcal Conformal Autoencoder for standardized data coordinates
    Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman
    http://arxiv.org/abs/2004.07234v1

    • [cs.LG]Minimizing Interference and Selection Bias in Network Experiment Design
    Zahra Fatemi, Elena Zheleva
    http://arxiv.org/abs/2004.07225v1

    • [cs.LG]MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning
    Yanyan Liang, Yanfeng Zhang, Dechao Gao, Qian Xu
    http://arxiv.org/abs/2004.06846v1

    • [cs.LG]Neural Status Registers
    Lukas Faber, Roger Wattenhofer
    http://arxiv.org/abs/2004.07085v1

    • [cs.LG]On Learning Rates and Schrödinger Operators
    Bin Shi, Weijie J. Su, Michael I. Jordan
    http://arxiv.org/abs/2004.06977v1

    • [cs.LG]Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
    Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
    http://arxiv.org/abs/2004.07116v1

    • [cs.LG]lamBERT: Language and Action Learning Using Multimodal BERT
    Kazuki Miyazawa, Tatsuya Aoki, Takato Horii, Takayuki Nagai
    http://arxiv.org/abs/2004.07093v1

    • [cs.LO]Prolog Technology Reinforcement Learning Prover
    Zsolt Zombori, Josef Urban, Chad E. Brown
    http://arxiv.org/abs/2004.06997v1

    • [cs.NE]From Understanding Genetic Drift to a Smart-Restart Parameter-less Compact Genetic Algorithm
    Benjamin Doerr, Weijie Zheng
    http://arxiv.org/abs/2004.07141v1

    • [cs.NE]Genetic Algorithm for the Weight Maximization Problem on Weighted Automata
    Elena Gutiérrez, Takamasa Okudono, Masaki Waga, Ichiro Hasuo
    http://arxiv.org/abs/2004.06581v1

    • [cs.NE]Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders
    Yali Wang, André Deutz, Thomas Bäck, Michael T. M. Emmerich
    http://arxiv.org/abs/2004.06941v1

    • [cs.NE]On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
    Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang
    http://arxiv.org/abs/2004.06961v1

    • [cs.NE]Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
    Alexander Vandesompele, Gabriel Urbain, Francis wyffels, Joni Dambre
    http://arxiv.org/abs/2004.04560v2

    • [cs.NE]Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images
    Albert Susanto, Herman, Tjeng Wawan Cenggoro, Suharjito, Bens Pardamean
    http://arxiv.org/abs/2004.07136v1

    • [cs.NE]Understanding Aesthetic Evaluation using Deep Learning
    Jon McCormack, Andy Lomas
    http://arxiv.org/abs/2004.06874v1

    • [cs.NI]Cloud Storage Architecture: Research Challenges and Opportunities
    Anwar Ghani, Afzal Badshah, Saeedullah Jan, Abdulrahman A. Alshdadi, Ali Daud
    http://arxiv.org/abs/2004.06809v1

    • [cs.PF]Scalability of High-Performance PDE Solvers
    Paul Fischer, Misun Min, Thilina Rathnayake, Som Dutta, Tzanio Kolev, Veselin Dobrev, Jean-Sylvain Camier, Martin Kronbichler, Tim Warburton, Kasia Swirydowicz, Jed Brown
    http://arxiv.org/abs/2004.06722v1

    • [cs.RO]Autocalibration of a Mobile UWB Localization System for Ad-Hoc Multi-Robot Deployments in GNSS-Denied Environments
    Carmen Martínez Almansa, Wang Shule, Jorge Peña Queralta, Tomi Westerlund
    http://arxiv.org/abs/2004.06762v1

    • [cs.RO]Combining Geometric and Information-Theoretic Approaches for Multi-Robot Exploration
    Aravind Preshant Premkumar, Kevin Yu, Pratap Tokekar
    http://arxiv.org/abs/2004.06856v1

    • [cs.RO]Exploration of Indoor Environments Predicting the Layout of Partially Observed Rooms
    Matteo Luperto, Luca Fochetta, Francesco Amigoni
    http://arxiv.org/abs/2004.06967v1

    • [cs.RO]Hand-worn Haptic Interface for Drone Teleoperation
    Matteo Macchini, Thomas Havy, Antoine Weber, Fabrizio Schiano, Dario Floreano
    http://arxiv.org/abs/2004.07111v1

    • [cs.RO]Interpretable Safety Validation for Autonomous Vehicles
    Anthony Corso, Mykel J. Kochenderfer
    http://arxiv.org/abs/2004.06805v1

    • [cs.RO]Quadrupedal Locomotion via Event-Based Predictive Control and QP-Based Virtual Constraints
    Kaveh Akbari Hamed, Jeeseop Kim, Abhishek Pandala
    http://arxiv.org/abs/2004.06858v1

    • [cs.RO]Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration
    Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme
    http://arxiv.org/abs/2004.07197v1

    • [cs.RO]Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition
    Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer
    http://arxiv.org/abs/2004.06801v1

    • [cs.SD]Musical Features for Automatic Music Transcription Evaluation
    Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce
    http://arxiv.org/abs/2004.07171v1

    • [cs.SI]“Stay Nearby or Get Checked”: A Covid-19 Lockdown Exit Strategy
    Jan-Tino Brethouwer, Arnout van de Rijt, Roy Lindelauf, Robbert Fokkink
    http://arxiv.org/abs/2004.06891v1

    • [cs.SI]Caching Structures for Distributed Data Management in P2P-based Social Networks
    Newton Masinde, Moritz Kanzler, Kalman Graffi
    http://arxiv.org/abs/2004.07033v1

    • [cs.SI]Deep Learning Models for Multilingual Hate Speech Detection
    Sai Saketh Aluru, Binny Mathew, Punyajoy Saha, Animesh Mukherjee
    http://arxiv.org/abs/2004.06465v2

    • [cs.SI]Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model
    Toktam A. Oghaz, Ece C. Mutlu, Jasser Jasser, Niloofar Yousefi, Ivan Garibay
    http://arxiv.org/abs/2004.06793v1

    • [cs.SI]Provable Overlapping Community Detection in Weighted Graphs
    Jimit Majmudar, Stephen Vavasis
    http://arxiv.org/abs/2004.07150v1

    • [cs.SI]Roommate Compatibility Detection Through Machine Learning Techniques
    Mansha Lamba, Raunak Goswami, Mr. Vinay, Mohit Lamba
    http://arxiv.org/abs/2004.06970v1

    • [cs.SI]SI-spreading-based network embedding in static and temporal networks
    Xiu-Xiu Zhan, Ziyu Li, Naoki Masuda, Petter Holme, Huijuan Wang
    http://arxiv.org/abs/2004.06750v1

    • [cs.SI]Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing
    Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli
    http://arxiv.org/abs/2004.06774v1

    • [eess.AS]Alzheimer’s Dementia Recognition through Spontaneous Speech: The ADReSS Challenge
    Saturnino Luz, Fasih Haider, Sofia de la Fuente, Davida Fromm, Brian MacWhinney
    http://arxiv.org/abs/2004.06833v1

    • [eess.AS]Speaker Diarization with Lexical Information
    Tae Jin Park, Kyu J. Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis Georgiou, Shrikanth Narayanan
    http://arxiv.org/abs/2004.06756v1

    • [eess.IV]4DFlowNet: Super-Resolution 4D Flow MRI using Deep Learning and Computational Fluid Dynamics
    Edward Ferdian, Avan Suinesiaputra, David Dubowitz, Debbie Zhao, Alan Wang, Brett Cowan, Alistair Young
    http://arxiv.org/abs/2004.07035v1

    • [eess.IV]Analysis of Scoliosis From Spinal X-Ray Images
    Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Kenneth M. C. Cheung, Michael To, Zhen Qian, Demetri Terzopoulos
    http://arxiv.org/abs/2004.06887v1

    • [eess.IV]End-to-End Variational Networks for Accelerated MRI Reconstruction
    Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia Johnson
    http://arxiv.org/abs/2004.06688v2

    • [eess.IV]Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
    David Tellez, Diederik Hoppener, Cornelis Verhoef, Dirk Grunhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
    http://arxiv.org/abs/2004.07041v1

    • [eess.IV]Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank
    Edward Ferdian, Avan Suinesiaputra, Kenneth Fung, Nay Aung, Elena Lukaschuk, Ahmet Barutcu, Edd Maclean, Jose Paiva, Stefan K. Piechnik, Stefan Neubauer, Steffen E Petersen, Alistair A. Young
    http://arxiv.org/abs/2004.07064v1

    • [eess.IV]Image Segmentation Using Hybrid Representations
    Alakh Desai, Ruchi Chauhan, Jayanthi Sivaswamy
    http://arxiv.org/abs/2004.07071v1

    • [eess.IV]JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
    Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng
    http://arxiv.org/abs/2004.07054v1

    • [eess.IV]Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images
    D. Sabari Nathan, K. Uma, D Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi
    http://arxiv.org/abs/2004.06930v1

    • [eess.IV]MXR-U-Nets for Real Time Hyperspectral Reconstruction
    Atmadeep Banerjee, Akash Palrecha
    http://arxiv.org/abs/2004.07003v1

    • [eess.IV]Melanoma Detection using Adversarial Training and Deep Transfer Learning
    Hasib Zunair, A. Ben Hamza
    http://arxiv.org/abs/2004.06824v1

    • [eess.IV]Mosaic Super-resolution via Sequential Feature Pyramid Networks
    Mehrdad Shoeiby, Mohammad Ali Armin, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
    http://arxiv.org/abs/2004.06853v1

    • [eess.IV]On Box-Cox Transformation for Image Normality and Pattern Classification
    Abbas Cheddad
    http://arxiv.org/abs/2004.07210v1

    • [eess.IV]Parametric Design of Underwater Optical Systems
    Gideon Billings, Eduardo Iscar, Matthew Johnson-Roberson
    http://arxiv.org/abs/2004.06763v1

    • [eess.IV]Residual-driven Fuzzy C-Means Clustering for Image Segmentation
    Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou
    http://arxiv.org/abs/2004.07160v1

    • [eess.IV]Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
    Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai
    http://arxiv.org/abs/2004.06965v1

    • [eess.SP]Channel Hardening in Massive MIMO: Model Parameters and Experimental Assessment
    Sara Gunnarsson, José Flordelis, Liesbet Van der Perre, Fredrik Tufvesson
    http://arxiv.org/abs/2004.06772v1

    • [eess.SP]The Road to 6G: Ten Physical Layer Challenges for Communications Engineers
    Michail Matthaiou, Okan Yurduseven, Hien Quoc Ngo, David Morales-Jimenez, Simon L. Cotton, Vincent F. Fusco
    http://arxiv.org/abs/2004.07130v1

    • [math.CO]Classification of optimal quaternary Hermitian LCD codes of dimension $2$
    Keita Ishizuka
    http://arxiv.org/abs/2004.07059v1

    • [math.DS]The Circumbilliard: Any Triangle can be a 3-Periodic
    Dan Reznik, Ronaldo Garcia
    http://arxiv.org/abs/2004.06776v1

    • [math.NA]MeshingNet: A New Mesh Generation Method based on Deep Learning
    Zheyan Zhang, Yongxing Wang, Peter K. Jimack, He Wang
    http://arxiv.org/abs/2004.07016v1

    • [math.NA]Norm and trace estimation with random rank-one vectors
    Zvonimir Bujanović, Daniel Kressner
    http://arxiv.org/abs/2004.06433v1

    • [math.OC]On Dissipative Symplectic Integration with Applications to Gradient-Based Optimization
    Guilherme França, Michael I. Jordan, René Vidal
    http://arxiv.org/abs/2004.06840v1

    • [math.OC]On Linear Optimization over Wasserstein Balls
    Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
    http://arxiv.org/abs/2004.07162v1

    • [math.PR]Analysis of Stochastic Gradient Descent in Continuous Time
    Jonas Latz
    http://arxiv.org/abs/2004.07177v1

    • [math.PR]High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case
    Clément Luneau, Nicolas Macris, Jean Barbier
    http://arxiv.org/abs/2004.06975v1

    • [math.ST]Eigen selection in spectral clustering: a theory guided practice
    Xiao Han, Xin Tong, Yingying Fan
    http://arxiv.org/abs/2004.06296v1

    • [math.ST]On uniform consistency of nonparametric tests II
    Mikhail Ermakov
    http://arxiv.org/abs/2004.07039v1

    • [math.ST]Rank-based change-point analysis for long-range dependent time series
    Annika Betken, Martin Wendler
    http://arxiv.org/abs/2004.06574v1

    • [physics.hist-ph]Does purely physical information have meaning? A comment on Carlo Rovelli’s paper: Meaning = information + evolution [arXiv:1611.02420]**
    Roman Krzanowski
    http://arxiv.org/abs/2004.06716v1

    • [q-bio.MN]Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
    Deisy Morselli Gysi, Ítalo Do Valle, Marinka Zitnik, Asher Ameli, Xiao Gan, Onur Varol, Helia Sanchez, Rebecca Marlene Baron, Dina Ghiassian, Joseph Loscalzo, Albert-László Barabási
    http://arxiv.org/abs/2004.07229v1

    • [q-bio.PE]Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi
    L. Tarrataca, C. M. Dias, D. B. Haddad, E. F. Arruda
    http://arxiv.org/abs/2004.06916v1

    • [q-bio.PE]The Tajima heterochronous n-coalescent: inference from heterochronously sampled molecular data
    Lorenzo Cappello, Amandine Veber, Julia A. Palacios
    http://arxiv.org/abs/2004.06826v1

    • [q-fin.RM]A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving
    Benjamin Avanzi, Gregory Clive Taylor, Phuong Anh Vu, Bernard Wong
    http://arxiv.org/abs/2004.06880v1

    • [quant-ph]Classical Coding Approaches to Quantum Applications
    Narayanan Rengaswamy
    http://arxiv.org/abs/2004.06834v1

    • [stat.AP]A decision support system for addressing food security in the UK
    Martine J. Barons, Thais C. O. Fonseca, Andy Davis, Jim Q. Smith
    http://arxiv.org/abs/2004.06764v1

    • [stat.AP]Mendelian randomization and causal networks for systematic analysis of omics
    Azam Yazdani
    http://arxiv.org/abs/2004.06958v1

    • [stat.CO]Extensions of Random Orthogonal Matrix Simulation for Targetting Kollo Skewness
    Carol Alexander, Xiaochun Meng, Wei Wei
    http://arxiv.org/abs/2004.06586v1

    • [stat.ME]A Sensitivity Matrix Based Methodology for Inverse Problem Formulation
    Ariel Cintrón-Arias, H. T. Banks, Alex Capaldi, Alun L. Lloyd
    http://arxiv.org/abs/2004.06831v1

    • [stat.ME]Group Testing for COVID-19: How to Stop Worrying and Test More
    Lakshmi N. Theagarajan
    http://arxiv.org/abs/2004.06306v2

    • [stat.ME]Prediction meets causal inference: the role of treatment in clinical prediction models
    Nan van Geloven, Sonja Swanson, Chava Ramspek, Kim Luijken, Merel van Diepen, Tim Morris, Rolf Groenwold, Hans van Houwelingen, Hein Putter, Saskia le Cessie
    http://arxiv.org/abs/2004.06998v1

    • [stat.ML]Dark Experience for General Continual Learning: a Strong, Simple Baseline
    Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara
    http://arxiv.org/abs/2004.07211v1

    • [stat.ML]Dynamic Bayesian Neural Networks
    Lorenzo Rimella, Nick Whiteley
    http://arxiv.org/abs/2004.06963v1