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