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
·····································
• [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