cs.AI - 人工智能

    cs.AR - 硬件体系结构 cs.CL - 计算与语言 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.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-ph - 高能物理现象学 math.OC - 优化与控制 math.ST - 统计理论 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 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 stat.OT - 其他统计学

    • [cs.AI]Naive Artificial Intelligence
    • [cs.AI]Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile
    • [cs.AI]Technical Report: The Policy Graph Improvement Algorithm
    • [cs.AI]Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems
    • [cs.AR]ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
    • [cs.CL]A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
    • [cs.CL]AutoTrans: Automating Transformer Design via Reinforced Architecture Search
    • [cs.CL]Dynamic Context-guided Capsule Network for Multimodal Machine Translation
    • [cs.CL]Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings
    • [cs.CL]KILT: a Benchmark for Knowledge Intensive Language Tasks
    • [cs.CL]Linguistically inspired morphological inflection with a sequence to sequence model
    • [cs.CV]A Hybrid Deep Learning Model for Arabic Text Recognition
    • [cs.CV]Attribute Adaptive Margin Softmax Loss using Privileged Information
    • [cs.CV]Compression-aware Continual Learning using Singular Value Decomposition
    • [cs.CV]Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera
    • [cs.CV]Imbalanced Image Classification with Complement Cross Entropy
    • [cs.CV]Looking for change? Roll the Dice and demand Attention
    • [cs.CV]Real-Time Selfie Video Stabilization
    • [cs.CV]SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression
    • [cs.CV]TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator
    • [cs.CV]Witches’ Brew: Industrial Scale Data Poisoning via Gradient Matching
    • [cs.CY]Author Mentions in Science News Reveal Wide-Spread Ethnic Bias
    • [cs.CY]Cyber-Physical Platform for Preeclampsia Detection
    • [cs.CY]Data Readiness for Natural Language Processing
    • [cs.CY]Deep Learning in Science
    • [cs.CY]Developing Enterprise Cyber Situational Awareness
    • [cs.CY]Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits
    • [cs.CY]IoT-based Contact Tracing Systems for Infectious Diseases: Architecture and Analysis
    • [cs.CY]Multimodal Autonomous Late Mile Delivery System Design and Application
    • [cs.DB]AnyDB: An Architecture-less DBMS for Any Workload
    • [cs.DC]FnF-BFT: Exploring Performance Limits of BFT Protocols
    • [cs.DC]Railgun: streaming windows for mission critical systems
    • [cs.DS]Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs
    • [cs.DS]Fair and Useful Cohort Selection
    • [cs.GR]SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis
    • [cs.GR]Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity
    • [cs.HC]A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems’ Worldviews
    • [cs.HC]HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks
    • [cs.IR]A Practical Incremental Method to Train Deep CTR Models
    • [cs.IR]Multi-Perspective Semantic Information Retrieval
    • [cs.IT]Dynamic Standalone Drone-Mounted Small Cells
    • [cs.IT]Intelligent Reflecting Surface Aided Multi-User Communication: Capacity Region and Deployment Strategy
    • [cs.IT]Network Coding-Based Post-Quantum Cryptography
    • [cs.IT]Secure Millimeter-Wave Ad Hoc Communications Using Physical Layer Security
    • [cs.IT]User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks
    • [cs.LG]About Graph Degeneracy, Representation Learning and Scalability
    • [cs.LG]CoNCRA: A Convolutional Neural Network Code Retrieval Approach
    • [cs.LG]Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks
    • [cs.LG]Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA
    • [cs.LG]Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring
    • [cs.LG]FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning
    • [cs.LG]Multivariate Time-series Anomaly Detection via Graph Attention Network
    • [cs.LG]On the implementation of a global optimization method for mixed-variable problems
    • [cs.LG]Phenotypical Ontology Driven Framework for Multi-Task Learning
    • [cs.LG]Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia
    • [cs.LG]Rethinking Graph Regularization For Graph Neural Networks
    • [cs.LG]S3NAS: Fast NPU-aware Neural Architecture Search Methodology
    • [cs.LG]Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations
    • [cs.MA]Hybrid DCOP Solvers: Boosting Performance of Local Search Algorithms
    • [cs.NE]Improving Self-Organizing Maps with Unsupervised Feature Extraction
    • [cs.NE]The Computational Capacity of Memristor Reservoirs
    • [cs.NI]5G Technologies Based Remote E-Health: Architecture, Applications, and Solutions
    • [cs.NI]Over-the-Air Computing for 6G — Turning Air into a Computer
    • [cs.RO]AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots
    • [cs.RO]Motion Planning for Collision-resilient Mobile Robots in Obstacle-cluttered Unknown Environments with Risk Reward Trade-offs
    • [cs.RO]Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances
    • [cs.SD]Towards Musically Meaningful Explanations Using Source Separation
    • [cs.SI]Controlling Fake News by Tagging: A Branching Process Analysis
    • [cs.SI]Scalable Prediction of Information Cascades over Arbitrary Time Horizons
    • [econ.EM]Cointegrating Polynomial Regressions with Power Law Trends: A New Angle on the Environmental Kuznets Curve
    • [econ.EM]Heterogeneous Coefficients, Control Variables, and Identification of Treatment Effects
    • [econ.EM]Instrument Validity for Heterogeneous Causal Effects
    • [eess.AS]SEANet: A Multi-modal Speech Enhancement Network
    • [eess.AS]Silent Speech Interfaces for Speech Restoration: A Review
    • [eess.IV]Deep data compression for approximate ultrasonic image formation
    • [eess.IV]Fast ultrasonic imaging using end-to-end deep learning
    • [eess.IV]Improving axial resolution in SIM using deep learning
    • [eess.SP]Algorithm and VLSI Design for 1-bit Data Detection in Massive MIMO-OFDM
    • [eess.SP]Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment
    • [eess.SP]Evolving Intelligent Reflector Surface towards 6G for Public Health: Application in Airborne Virus Detection
    • [eess.SP]Learning Constellation Map with Deep CNN for Accurate Modulation Recognition
    • [hep-ph]Simulation-Assisted Decorrelation for Resonant Anomaly Detection
    • [math.OC]Provably Safe Control of Lagrangian Systems in Obstacle-Scattered Environments
    • [math.ST]Augmented Gaussian Random Field: Theory and Computation
    • [math.ST]On characteristic rank for matrix and tensor completion
    • [math.ST]On cumulative entropies in terms of moments of order statistics
    • [math.ST]On extropy of past lifetime distribution
    • [math.ST]Threshold selection for extremal index estimation
    • [q-bio.PE]Evaluating the effect of city lock-down on controlling COVID-19 propagation through deep learning and network science models
    • [q-bio.QM]Investigation of the Cyprus donkey milk bacterial diversity by 16SrDNA high-throughput sequencing in a Cyprus donkey farm
    • [quant-ph]Qibo: a framework for quantum simulation with hardware acceleration
    • [stat.AP]Adaptive preferential sampling in phylodynamics
    • [stat.AP]Unlucky Number 13? Manipulating Evidence Subject to Snooping
    • [stat.ME]Composite Estimation for Quantile Regression Kink Models with Longitudinal Data
    • [stat.ME]Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
    • [stat.ME]Density estimation and modeling on symmetric spaces
    • [stat.ME]Efficient, Doubly Robust Estimation of the Effect of Dose Switching for Switchers in a Randomised Clinical Trial
    • [stat.ME]Estimation of marriage incidence rates by combining two cross-sectional retrospective designs: Event history analysis of two dependent processes
    • [stat.ME]Policy evaluation in COVID-19: A graphical guide to common design issues
    • [stat.ME]Randomized Graph Cluster Randomization
    • [stat.ME]Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective
    • [stat.ML]A Generalization of Spatial Monte Carlo Integration
    • [stat.ML]Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection
    • [stat.ML]Simultaneous Preference and Metric Learning from Paired Comparisons
    • [stat.OT]Defending the P-value

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    • [cs.AI]Naive Artificial Intelligence
    Tomer Barak, Yehonatan Avidan, Yonatan Loewenstein
    http://arxiv.org/abs/2009.02185v1

    • [cs.AI]Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile
    Seiji Ishihara, Harukazu Igarashi
    http://arxiv.org/abs/2009.02083v1

    • [cs.AI]Technical Report: The Policy Graph Improvement Algorithm
    Joni Pajarinen
    http://arxiv.org/abs/2009.02164v1

    • [cs.AI]Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems
    Gustavo Padilha Polleti, Douglas Luan de Souza, Fabio Cozman
    http://arxiv.org/abs/2009.01953v1

    • [cs.AR]ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
    Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
    http://arxiv.org/abs/2009.02010v1

    • [cs.CL]A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
    Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou
    http://arxiv.org/abs/2009.01989v1

    • [cs.CL]AutoTrans: Automating Transformer Design via Reinforced Architecture Search
    Wei Zhu, Xiaoling Wang, Xipeng Qiu, Yuan Ni, Guotong Xie
    http://arxiv.org/abs/2009.02070v1

    • [cs.CL]Dynamic Context-guided Capsule Network for Multimodal Machine Translation
    Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo
    http://arxiv.org/abs/2009.02016v1

    • [cs.CL]Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings
    Vincent D. Warmerdam, Thomas Kober, Rachael Tatman
    http://arxiv.org/abs/2009.02113v1

    • [cs.CL]KILT: a Benchmark for Knowledge Intensive Language Tasks
    Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
    http://arxiv.org/abs/2009.02252v1

    • [cs.CL]Linguistically inspired morphological inflection with a sequence to sequence model
    Eleni Metheniti, Guenter Neumann, Josef van Genabith
    http://arxiv.org/abs/2009.02073v1

    • [cs.CV]A Hybrid Deep Learning Model for Arabic Text Recognition
    Mohammad Fasha, Bassam Hammo, Nadim Obeid, Jabir Widian
    http://arxiv.org/abs/2009.01987v1

    • [cs.CV]Attribute Adaptive Margin Softmax Loss using Privileged Information
    Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi
    http://arxiv.org/abs/2009.01972v1

    • [cs.CV]Compression-aware Continual Learning using Singular Value Decomposition
    Varigonda Pavan Teja, Priyadarshini Panda
    http://arxiv.org/abs/2009.01956v1

    • [cs.CV]Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera
    Chen Fu, Chiyu Dong, Christoph Mertz, John M. Dolan
    http://arxiv.org/abs/2009.01875v1

    • [cs.CV]Imbalanced Image Classification with Complement Cross Entropy
    Yechan Kim, Younkwan Lee, Moongu Jeon
    http://arxiv.org/abs/2009.02189v1

    • [cs.CV]Looking for change? Roll the Dice and demand Attention
    Foivos I. Diakogiannis, François Waldner, Peter Caccetta
    http://arxiv.org/abs/2009.02062v1

    • [cs.CV]Real-Time Selfie Video Stabilization
    Jiyang Yu, Ravi Ramamoorthi, Keli Cheng, Michel Sarkis, Ning Bi
    http://arxiv.org/abs/2009.02007v1

    • [cs.CV]SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression
    Diogo Luvizon, Hedi Tabia, David Picard
    http://arxiv.org/abs/2009.01998v1

    • [cs.CV]TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator
    Doyeon Kim, Donggyu Joo, Junmo Kim
    http://arxiv.org/abs/2009.02018v1

    • [cs.CV]Witches’ Brew: Industrial Scale Data Poisoning via Gradient Matching
    Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
    http://arxiv.org/abs/2009.02276v1

    • [cs.CY]Author Mentions in Science News Reveal Wide-Spread Ethnic Bias
    Hao Peng, Misha Teplitskiy, David Jurgens
    http://arxiv.org/abs/2009.01896v1

    • [cs.CY]Cyber-Physical Platform for Preeclampsia Detection
    Iuliana Marin, Maria Iuliana Bocicor, Arthur-Jozsef Molnar
    http://arxiv.org/abs/2009.02093v1

    • [cs.CY]Data Readiness for Natural Language Processing
    Fredrik Olsson, Magnus Sahlgren
    http://arxiv.org/abs/2009.02043v1

    • [cs.CY]Deep Learning in Science
    Stefano Bianchini, Moritz Müller, Pierre Pelletier
    http://arxiv.org/abs/2009.01575v2

    • [cs.CY]Developing Enterprise Cyber Situational Awareness
    Christopher L Gorham
    http://arxiv.org/abs/2009.01864v1

    • [cs.CY]Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits
    Mateusz Nurek, Radosław Michalski, Marian-Andrei Rizoiu
    http://arxiv.org/abs/2009.02032v1

    • [cs.CY]IoT-based Contact Tracing Systems for Infectious Diseases: Architecture and Analysis
    Peng Hu
    http://arxiv.org/abs/2009.01902v1

    • [cs.CY]Multimodal Autonomous Late Mile Delivery System Design and Application
    Farah Samouh, Veronica Gluza, Shadi Djavadian, Seyed Mehdi Meshkani, Bilal Farooq
    http://arxiv.org/abs/2009.01960v1

    • [cs.DB]AnyDB: An Architecture-less DBMS for Any Workload
    Tiemo Bang, Norman May, Ilia Petrov, Carsten Binnig
    http://arxiv.org/abs/2009.02258v1

    • [cs.DC]FnF-BFT: Exploring Performance Limits of BFT Protocols
    Zeta Avarikioti, Lioba Heimbach, Roland Schmid, Roger Wattenhofer
    http://arxiv.org/abs/2009.02235v1

    • [cs.DC]Railgun: streaming windows for mission critical systems
    João Oliveirinha, Ana Sofia Gomes, Pedro Cardoso, Pedro Bizarro
    http://arxiv.org/abs/2009.00361v2

    • [cs.DS]Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs
    Quintino Francesco Lotito, Alberto Montresor
    http://arxiv.org/abs/2009.01928v1

    • [cs.DS]Fair and Useful Cohort Selection
    Niklas Smedemark-Margulies, Paul Langton, Huy L. Nguyen
    http://arxiv.org/abs/2009.02207v1

    • [cs.GR]SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis
    Noa Fish, Lilach Perry, Amit Bermano, Daniel Cohen-Or
    http://arxiv.org/abs/2009.02216v1

    • [cs.GR]Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity
    Youngwoo Yoon, Bok Cha, Joo-Haeng Lee, Minsu Jang, Jaeyeon Lee, Jaehong Kim, Geehyuk Lee
    http://arxiv.org/abs/2009.02119v1

    • [cs.HC]A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems’ Worldviews
    Suyun Bae, Federico Rossi, Joshua Vander Hook, Scott Davidoff, Kwan-Liu Ma
    http://arxiv.org/abs/2009.01921v1

    • [cs.HC]HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks
    Heungseok Park, Yoonsoo Nam, Ji-Hoon Kim, Jaegul Choo
    http://arxiv.org/abs/2009.02078v1

    • [cs.IR]A Practical Incremental Method to Train Deep CTR Models
    Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He
    http://arxiv.org/abs/2009.02147v1

    • [cs.IR]Multi-Perspective Semantic Information Retrieval
    Samarth Rawal, Chitta Baral
    http://arxiv.org/abs/2009.01938v1

    • [cs.IT]Dynamic Standalone Drone-Mounted Small Cells
    Igor Donevski, Jimmy Jessen Nielsen
    http://arxiv.org/abs/2009.02192v1

    • [cs.IT]Intelligent Reflecting Surface Aided Multi-User Communication: Capacity Region and Deployment Strategy
    Shuowen Zhang, Rui Zhang
    http://arxiv.org/abs/2009.02324v1

    • [cs.IT]Network Coding-Based Post-Quantum Cryptography
    Alejandro Cohen, Rafael G. L. D’Oliveira, Salman Salamatian, Muriel Medard
    http://arxiv.org/abs/2009.01931v1

    • [cs.IT]Secure Millimeter-Wave Ad Hoc Communications Using Physical Layer Security
    Yuanyu Zhang, Yulong Shen, Xiaohong Jiang, Shoji Kasahara
    http://arxiv.org/abs/2009.01988v1

    • [cs.IT]User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks
    Tung T. Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen H. Tran, Richard H. Middleton
    http://arxiv.org/abs/2009.02031v1

    • [cs.LG]About Graph Degeneracy, Representation Learning and Scalability
    Simon Brandeis, Adrian Jarret, Pierre Sevestre
    http://arxiv.org/abs/2009.02085v1

    • [cs.LG]CoNCRA: A Convolutional Neural Network Code Retrieval Approach
    Marcelo de Rezende Martins, Marco A. Gerosa
    http://arxiv.org/abs/2009.01959v1

    • [cs.LG]Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks
    Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
    http://arxiv.org/abs/2009.02186v1

    • [cs.LG]Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA
    Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu
    http://arxiv.org/abs/2009.02251v1

    • [cs.LG]Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring
    Nijat Mehdiyev, Peter Fettke
    http://arxiv.org/abs/2009.02098v1

    • [cs.LG]FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning
    Hong-You Chen, Wei-Lun Chao
    http://arxiv.org/abs/2009.01974v1

    • [cs.LG]Multivariate Time-series Anomaly Detection via Graph Attention Network
    Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
    http://arxiv.org/abs/2009.02040v1

    • [cs.LG]On the implementation of a global optimization method for mixed-variable problems
    Giacomo Nannicini
    http://arxiv.org/abs/2009.02183v1

    • [cs.LG]Phenotypical Ontology Driven Framework for Multi-Task Learning
    Mohamed Ghalwash, Zijun Yao, Prithwish Chakraborty, James Codella, Daby Sow
    http://arxiv.org/abs/2009.02188v1

    • [cs.LG]Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia
    Toktam Khatibi, Ali Farahani, Hossein Sarmadian
    http://arxiv.org/abs/2009.02316v1

    • [cs.LG]Rethinking Graph Regularization For Graph Neural Networks
    Han Yang, Kaili Ma, James Cheng
    http://arxiv.org/abs/2009.02027v1

    • [cs.LG]S3NAS: Fast NPU-aware Neural Architecture Search Methodology
    Jaeseong Lee, Duseok Kang, Soonhoi Ha
    http://arxiv.org/abs/2009.02009v1

    • [cs.LG]Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations
    Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
    http://arxiv.org/abs/2009.02296v1

    • [cs.MA]Hybrid DCOP Solvers: Boosting Performance of Local Search Algorithms
    Cornelis Jan van Leeuwen, Przemyzław Pawełczak
    http://arxiv.org/abs/2009.02240v1

    • [cs.NE]Improving Self-Organizing Maps with Unsupervised Feature Extraction
    Lyes Khacef, Laurent Rodriguez, Benoit Miramond
    http://arxiv.org/abs/2009.02174v1

    • [cs.NE]The Computational Capacity of Memristor Reservoirs
    Forrest C. Sheldon, Artemy Kolchinsky, Francesco Caravelli
    http://arxiv.org/abs/2009.00112v2

    • [cs.NI]5G Technologies Based Remote E-Health: Architecture, Applications, and Solutions
    Wei Duan, Yancheng Ji, Yan Zhang, Guoan Zhang, Valerio Frascolla, Xin Li
    http://arxiv.org/abs/2009.02131v1

    • [cs.NI]Over-the-Air Computing for 6G — Turning Air into a Computer
    Guangxu Zhu, Jie Xu, Kaibin Huang
    http://arxiv.org/abs/2009.02181v1

    • [cs.RO]AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots
    Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim
    http://arxiv.org/abs/2009.02041v1

    • [cs.RO]Motion Planning for Collision-resilient Mobile Robots in Obstacle-cluttered Unknown Environments with Risk Reward Trade-offs
    Zhouyu Lu, Zhichao Liu, Gustavo J. Correa, Konstantinos Karydis
    http://arxiv.org/abs/2009.01973v1

    • [cs.RO]Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances
    Lei Zheng, Rui Yang, Jiesen Pan, Hui Cheng, Haifeng Hu
    http://arxiv.org/abs/2009.01992v1

    • [cs.SD]Towards Musically Meaningful Explanations Using Source Separation
    Verena Haunschmid, Ethan Manilow, Gerhard Widmer
    http://arxiv.org/abs/2009.02051v1

    • [cs.SI]Controlling Fake News by Tagging: A Branching Process Analysis
    Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, Quanyan Zhu
    http://arxiv.org/abs/2009.02275v1

    • [cs.SI]Scalable Prediction of Information Cascades over Arbitrary Time Horizons
    Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic
    http://arxiv.org/abs/2009.02092v1

    • [econ.EM]Cointegrating Polynomial Regressions with Power Law Trends: A New Angle on the Environmental Kuznets Curve
    Yicong Lin, Hanno Reuvers
    http://arxiv.org/abs/2009.02262v1

    • [econ.EM]Heterogeneous Coefficients, Control Variables, and Identification of Treatment Effects
    Whitney K. Newey, Sami Stouli
    http://arxiv.org/abs/2009.02314v1

    • [econ.EM]Instrument Validity for Heterogeneous Causal Effects
    Zhenting Sun
    http://arxiv.org/abs/2009.01995v1

    • [eess.AS]SEANet: A Multi-modal Speech Enhancement Network
    Marco Tagliasacchi, Yunpeng Li, Karolis Misiunas, Dominik Roblek
    http://arxiv.org/abs/2009.02095v1

    • [eess.AS]Silent Speech Interfaces for Speech Restoration: A Review
    Jose A. Gonzalez-Lopez, Alejandro Gomez-Alanis, Juan M. Martín-Doñas, José L. Pérez-Córdoba, Angel M. Gomez
    http://arxiv.org/abs/2009.02110v1

    • [eess.IV]Deep data compression for approximate ultrasonic image formation
    Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka
    http://arxiv.org/abs/2009.02293v1

    • [eess.IV]Fast ultrasonic imaging using end-to-end deep learning
    Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka
    http://arxiv.org/abs/2009.02194v1

    • [eess.IV]Improving axial resolution in SIM using deep learning
    Miguel Boland, Edward A. K. Cohen, Seth Flaxman, Mark A. A. Neil
    http://arxiv.org/abs/2009.02264v1

    • [eess.SP]Algorithm and VLSI Design for 1-bit Data Detection in Massive MIMO-OFDM
    Seyed Hadi Mirfarshbafan, Mahdi Shabany, Seyed Alireza Nezamalhosseini, Christoph Studer
    http://arxiv.org/abs/2009.02068v1

    • [eess.SP]Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment
    Thien Huynh-The, Van-Sang Doan, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim
    http://arxiv.org/abs/2009.02023v1

    • [eess.SP]Evolving Intelligent Reflector Surface towards 6G for Public Health: Application in Airborne Virus Detection
    Harun Šiljak, Nouman Ashraf, Michael Taynnan Barros, Daniel Perez Martins, Bernard Butler, Arman Farhang, Nicola Marchetti, Sasitharan Balasubramaniam
    http://arxiv.org/abs/2009.02224v1

    • [eess.SP]Learning Constellation Map with Deep CNN for Accurate Modulation Recognition
    Van-Sang Doan, Thien Huynh-The, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim
    http://arxiv.org/abs/2009.02026v1

    • [hep-ph]Simulation-Assisted Decorrelation for Resonant Anomaly Detection
    Kees Benkendorfer, Luc Le Pottier, Benjamin Nachman
    http://arxiv.org/abs/2009.02205v1

    • [math.OC]Provably Safe Control of Lagrangian Systems in Obstacle-Scattered Environments
    Fernando S. Barbosa, Lars Lindemann, Dimos V. Dimarogonas, Jana Tumova
    http://arxiv.org/abs/2009.02148v1

    • [math.ST]Augmented Gaussian Random Field: Theory and Computation
    Sheng Zhang, Xiu Yang, Samy Tindel, Guang Lin
    http://arxiv.org/abs/2009.01961v1

    • [math.ST]On characteristic rank for matrix and tensor completion
    Alexander Shapiro, Yao Xie, Rui Zhang
    http://arxiv.org/abs/2009.01893v1

    • [math.ST]On cumulative entropies in terms of moments of order statistics
    Narayanaswamy Balakrishnan, Francesco Buono, Maria Longobardi
    http://arxiv.org/abs/2009.02029v1

    • [math.ST]On extropy of past lifetime distribution
    Osman Kamari, Francesco Buono
    http://arxiv.org/abs/2009.02056v1

    • [math.ST]Threshold selection for extremal index estimation
    Natalia M. Markovich, Igor V. Rodionov
    http://arxiv.org/abs/2009.02318v1

    • [q-bio.PE]Evaluating the effect of city lock-down on controlling COVID-19 propagation through deep learning and network science models
    Xiaoqi Zhang, Zheng Ji, Yanqiao Zheng, Xinyue Ye, Dong Li
    http://arxiv.org/abs/2009.02152v1

    • [q-bio.QM]Investigation of the Cyprus donkey milk bacterial diversity by 16SrDNA high-throughput sequencing in a Cyprus donkey farm
    P. Papademas, E. Kamilari, M. Aspri, D. A Anagnostopoulos, P. Mousikos, A. Kamilaris, D. Tsaltas
    http://arxiv.org/abs/2009.02156v1

    • [quant-ph]Qibo: a framework for quantum simulation with hardware acceleration
    Stavros Efthymiou, Sergi Ramos-Calderer, Carlos Bravo-Prieto, Adrián Pérez-Salinas, Diego García-Martín, Artur Garcia-Saez, José Ignacio Latorre, Stefano Carrazza
    http://arxiv.org/abs/2009.01845v1

    • [stat.AP]Adaptive preferential sampling in phylodynamics
    Lorenzo Cappello, Julia A. Palacios
    http://arxiv.org/abs/2009.02307v1

    • [stat.AP]Unlucky Number 13? Manipulating Evidence Subject to Snooping
    Uwe Hassler, Marc-Oliver Pohle
    http://arxiv.org/abs/2009.02198v1

    • [stat.ME]Composite Estimation for Quantile Regression Kink Models with Longitudinal Data
    Chuang Wan
    http://arxiv.org/abs/2009.02305v1

    • [stat.ME]Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
    Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee
    http://arxiv.org/abs/2009.02112v1

    • [stat.ME]Density estimation and modeling on symmetric spaces
    Didong Li, Yulong Lu, Emmanuel Chevalier, David B. Dunson
    http://arxiv.org/abs/2009.01983v1

    • [stat.ME]Efficient, Doubly Robust Estimation of the Effect of Dose Switching for Switchers in a Randomised Clinical Trial
    Kelly Van Lancker, An Vandebosch, Stijn Vansteelandt
    http://arxiv.org/abs/2009.02136v1

    • [stat.ME]Estimation of marriage incidence rates by combining two cross-sectional retrospective designs: Event history analysis of two dependent processes
    Sangita Kulathinal, Minna Säävälä, Kari Auranen, Olli Saarela
    http://arxiv.org/abs/2009.01897v1

    • [stat.ME]Policy evaluation in COVID-19: A graphical guide to common design issues
    Noah A Haber, Emma Clarke-Deelder, Joshua A Salomon, Avi Feller, Elizabeth A Stuart
    http://arxiv.org/abs/2009.01940v1

    • [stat.ME]Randomized Graph Cluster Randomization
    Johan Ugander, Hao Yin
    http://arxiv.org/abs/2009.02297v1

    • [stat.ME]Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective
    Wei Ma, Fuyi Tu, Hanzhong Liu
    http://arxiv.org/abs/2009.02287v1

    • [stat.ML]A Generalization of Spatial Monte Carlo Integration
    Muneki Yasuda, Kei Uchizawa
    http://arxiv.org/abs/2009.02165v1

    • [stat.ML]Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection
    Yining Wang, Yi Chen, Ethan X. Fang, Zhaoran Wang, Runze Li
    http://arxiv.org/abs/2009.02003v1

    • [stat.ML]Simultaneous Preference and Metric Learning from Paired Comparisons
    Austin Xu, Mark A. Davenport
    http://arxiv.org/abs/2009.02302v1

    • [stat.OT]Defending the P-value
    Yudi Pawitan
    http://arxiv.org/abs/2009.02099v1