cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 math.FA - 泛函演算 math.ST - 统计理论 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis
    • [cs.AI]Fast Compliance Checking with General Vocabularies
    • [cs.AI]Visual Simplified Characters’ Emotion Emulator Implementing OCC Model
    • [cs.CL]A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
    • [cs.CL]Modality-Balanced Models for Visual Dialogue
    • [cs.CL]Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System
    • [cs.CL]RobBERT: a Dutch RoBERTa-based Language Model
    • [cs.CR]Performance of Statistical and Machine Learning Techniques for Physical Layer Authentication
    • [cs.CV]Automatic Discovery of Political Meme Genres with Diverse Appearances
    • [cs.CV]BigEarthNet Deep Learning Models with A New Class-Nomenclature for Remote Sensing Image Understanding
    • [cs.CV]Combining PRNU and noiseprint for robust and efficient device source identification
    • [cs.CV]Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
    • [cs.CV]Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
    • [cs.CV]FPCR-Net: Feature Pyramidal Correlation and Residual Reconstruction for Semi-supervised Optical Flow Estimation
    • [cs.CV]GraphBGS: Background Subtraction via Recovery of Graph Signals
    • [cs.CV]Increasing the robustness of DNNs against image corruptions by playing the Game of Noise
    • [cs.CV]Interpreting Galaxy Deblender GAN from the Discriminator’s Perspective
    • [cs.CV]Latency-Aware Differentiable Neural Architecture Search
    • [cs.CV]Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
    • [cs.CV]Registration made easy — standalone orthopedic navigation with HoloLens
    • [cs.CV]Review: deep learning on 3D point clouds
    • [cs.CV]SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On
    • [cs.CV]Spatio-Temporal Ranked-Attention Networks for Video Captioning
    • [cs.CV]TailorGAN: Making User-Defined Fashion Designs
    • [cs.CV]Tracking of Micro Unmanned Aerial Vehicles: A Comparative Study
    • [cs.CV]Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection
    • [cs.CV]Unsupervised Learning of Camera Pose with Compositional Re-estimation
    • [cs.DC]Consistency of Proof-of-Stake Blockchains with Concurrent Honest Slot Leaders
    • [cs.DC]Dynamic Byzantine Reliable Broadcast [Technical Report]
    • [cs.DC]FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data
    • [cs.GT]A Novel Methodology for designing Policies in Mobile Crowdsensing Systems
    • [cs.HC]A Study of Mental Maps in Immersive Network Visualization
    • [cs.HC]Plato Dialogue System: A Flexible Conversational AI Research Platform
    • [cs.HC]User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
    • [cs.IT]An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes
    • [cs.IT]Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems
    • [cs.IT]Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation
    • [cs.IT]Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding
    • [cs.IT]Design and Analysis of Online Fountain Codes for Intermediate Performance
    • [cs.IT]Duplication with transposition distance to the root for $q$-ary strings
    • [cs.IT]Low Complexity Algorithms for Transmission of Short Blocks over the BSC with Full Feedback
    • [cs.IT]On the Capacity of Private Monomial Computation
    • [cs.IT]Point-line incidence on Grassmannians and majority logic decoding of Grassmann codes
    • [cs.LG]A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks
    • [cs.LG]ADAMT: A Stochastic Optimization with Trend Correction Scheme
    • [cs.LG]An adversarial learning framework for preserving users’ anonymity in face-based emotion recognition
    • [cs.LG]Approximating Activation Functions
    • [cs.LG]Better Boosting with Bandits for Online Learning
    • [cs.LG]Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
    • [cs.LG]Cyber Attack Detection thanks to Machine Learning Algorithms
    • [cs.LG]DNNs as Layers of Cooperating Classifiers
    • [cs.LG]Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning
    • [cs.LG]Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant
    • [cs.LG]Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling
    • [cs.LG]Fairness Measures for Regression via Probabilistic Classification
    • [cs.LG]FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
    • [cs.LG]Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation
    • [cs.LG]Gradient descent with momentum —- to accelerate or to super-accelerate?
    • [cs.LG]Graph Inference Learning for Semi-supervised Classification
    • [cs.LG]GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
    • [cs.LG]Inferring Individual Level Causal Models from Graph-based Relational Time Series
    • [cs.LG]Learning Stable Deep Dynamics Models
    • [cs.LG]Sideways: Depth-Parallel Training of Video Models
    • [cs.LG]Understanding the Power of Persistence Pairing via Permutation Test
    • [cs.PF]Duet Benchmarking: Improving Measurement Accuracy in the Cloud
    • [cs.PL]Proceedings 16th Workshop on Quantitative Aspects of Programming Languages and Systems
    • [cs.RO]A Reliable Gravity Compensation Control Strategy for dVRK Robotic Arms With Nonlinear Disturbance Forces
    • [cs.RO]Robust 2 1/2D Visual Servoing of a Cable-Driven Parallel Robot Thanks to Trajectory Tracking
    • [cs.RO]Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach
    • [cs.SE]Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions
    • [cs.SI]Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
    • [econ.EM]Distributional synthetic controls
    • [econ.EM]Entropy Balancing for Continuous Treatments
    • [econ.EM]Recovering Network Structure from Aggregated Relational Data using Penalized Regression
    • [eess.IV]Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines
    • [math.FA]Compactly Supported Quasi-tight Multiframelets with High Balancing Orders and Compact Framelet Transforms
    • [math.ST]Testing proportional hazards for specified covariates
    • [physics.soc-ph]Communicability in the World Trade Network — A new perspective for community detection
    • [stat.AP]Coarsened mixtures of hierarchical skew normal kernels for flow cytometry analyses
    • [stat.AP]GSSMD: New metric for robust and interpretable assay quality assessment and hit selection
    • [stat.AP]Hierarchical Spatial Modeling of Monotone West Antarctic Snow Density Curves
    • [stat.AP]Neglecting Uncertainties Leads to Suboptimal Decisions About Home-Owners Flood Risk Management
    • [stat.ME]Approximate Bayesian Bootstrap Procedures to Estimate Multilevel Treatment Effects in Observational Studies with Application to Type 2 Diabetes Treatment Regimens
    • [stat.ME]Bayesian Inference for Big Spatial Data Using Non-stationary Spectral Simulation
    • [stat.ME]Causal models for dynamical systems
    • [stat.ME]Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates
    • [stat.ME]Double score matching estimators of average and quantile treatment effects
    • [stat.ME]Nonparametric inference for interventional effects with multiple mediators
    • [stat.ME]Optimal Crossover Designs for Generalized Linear Models
    • [stat.ME]Unit Testing for MCMC and other Monte Carlo Methods
    • [stat.ML]Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning
    • [stat.ML]Extracting more from boosted decision trees: A high energy physics case study
    • [stat.ML]Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives

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

    • [cs.AI]A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis
    Johan Pauwels, György Fazekas, Mark B. Sandler
    http://arxiv.org/abs/2001.06086v1

    • [cs.AI]Fast Compliance Checking with General Vocabularies
    P. A. Bonatti, L. Ioffredo, I. M. Petrova, L. Sauro
    http://arxiv.org/abs/2001.06322v1

    • [cs.AI]Visual Simplified Characters’ Emotion Emulator Implementing OCC Model
    Ana Lilia Laureano-Cruces, Laura Hernández-Domínguez, Martha Mora-Torres, Juan-Manuel Torres-Moreno, Jaime Enrique Cabrera-López
    http://arxiv.org/abs/2001.06190v1

    • [cs.CL]A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
    Iker García, Rodrigo Agerri, German Rigau
    http://arxiv.org/abs/2001.06381v1

    • [cs.CL]Modality-Balanced Models for Visual Dialogue
    Hyounghun Kim, Hao Tan, Mohit Bansal
    http://arxiv.org/abs/2001.06354v1

    • [cs.CL]Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System
    Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku
    http://arxiv.org/abs/2001.06206v1

    • [cs.CL]RobBERT: a Dutch RoBERTa-based Language Model
    Pieter Delobelle, Thomas Winters, Bettina Berendt
    http://arxiv.org/abs/2001.06286v1

    • [cs.CR]Performance of Statistical and Machine Learning Techniques for Physical Layer Authentication
    Linda Senigagliesi, Marco Baldi, Ennio Gambi
    http://arxiv.org/abs/2001.06238v1

    • [cs.CV]Automatic Discovery of Political Meme Genres with Diverse Appearances
    William Theisen, Joel Brogan, Pamela Bilo Thomas, Daniel Moreira, Pascal Phoa, Tim Weninger, Walter Scheirer
    http://arxiv.org/abs/2001.06122v1

    • [cs.CV]BigEarthNet Deep Learning Models with A New Class-Nomenclature for Remote Sensing Image Understanding
    Gencer Sumbul, Jian Kang, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir
    http://arxiv.org/abs/2001.06372v1

    • [cs.CV]Combining PRNU and noiseprint for robust and efficient device source identification
    Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
    http://arxiv.org/abs/2001.06440v1

    • [cs.CV]Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
    Jungkyu Lee, Taeryun Won, Kiho Hong
    http://arxiv.org/abs/2001.06268v1

    • [cs.CV]Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
    Henrique Siqueira, Sven Magg, Stefan Wermter
    http://arxiv.org/abs/2001.06338v1

    • [cs.CV]FPCR-Net: Feature Pyramidal Correlation and Residual Reconstruction for Semi-supervised Optical Flow Estimation
    Xiaolin Song, Jingyu Yang, Cuiling Lan, Wenjun Zeng
    http://arxiv.org/abs/2001.06171v1

    • [cs.CV]GraphBGS: Background Subtraction via Recovery of Graph Signals
    Jhony H. Giraldo, Thierry Bouwmans
    http://arxiv.org/abs/2001.06404v1

    • [cs.CV]Increasing the robustness of DNNs against image corruptions by playing the Game of Noise
    Evgenia Rusak, Lukas Schott, Roland Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
    http://arxiv.org/abs/2001.06057v1

    • [cs.CV]Interpreting Galaxy Deblender GAN from the Discriminator’s Perspective
    Heyi Li, Yuewei Lin, Klaus Mueller, Wei Xu
    http://arxiv.org/abs/2001.06151v1

    • [cs.CV]Latency-Aware Differentiable Neural Architecture Search
    Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Bowen Shi, Qi Tian, Hongkai Xiong
    http://arxiv.org/abs/2001.06392v1

    • [cs.CV]Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
    Wenxuan Wang, Yanwei Fu, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yu-Gang Jiang, Xiangyang Xue
    http://arxiv.org/abs/2001.06144v1

    • [cs.CV]Registration made easy — standalone orthopedic navigation with HoloLens
    Florentin Liebmann, Simon Roner, Marco von Atzigen, Florian Wanivenhaus, Caroline Neuhaus, José Spirig, Davide Scaramuzza, Reto Sutter, Jess Snedeker, Mazda Farshad, Philipp Fürnstahl
    http://arxiv.org/abs/2001.06209v1

    • [cs.CV]Review: deep learning on 3D point clouds
    Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang
    http://arxiv.org/abs/2001.06280v1

    • [cs.CV]SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On
    Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
    http://arxiv.org/abs/2001.06265v1

    • [cs.CV]Spatio-Temporal Ranked-Attention Networks for Video Captioning
    Anoop Cherian, Jue Wang, Chiori Hori, Tim K. Marks
    http://arxiv.org/abs/2001.06127v1

    • [cs.CV]TailorGAN: Making User-Defined Fashion Designs
    Lele Chen, Justin Tian, Guo Li, Cheng-Haw Wu, Erh-Kan King, Kuan-Ting Chen, Shao-Hang Hsieh
    http://arxiv.org/abs/2001.06427v1

    • [cs.CV]Tracking of Micro Unmanned Aerial Vehicles: A Comparative Study
    Fatih Gökçe
    http://arxiv.org/abs/2001.06066v1

    • [cs.CV]Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection
    Xinzheng Zhang, Guo Liu, Ce Zhang, Peter M Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou, Yongming Li
    http://arxiv.org/abs/2001.06252v1

    • [cs.CV]Unsupervised Learning of Camera Pose with Compositional Re-estimation
    Seyed Shahabeddin Nabavi, Mehrdad Hosseinzadeh, Ramin Fahimi, Yang Wang
    http://arxiv.org/abs/2001.06479v1

    • [cs.DC]Consistency of Proof-of-Stake Blockchains with Concurrent Honest Slot Leaders
    Aggelos Kiayias, Saad Quader, Alexander Russell
    http://arxiv.org/abs/2001.06403v1

    • [cs.DC]Dynamic Byzantine Reliable Broadcast [Technical Report]**
    Rachid Guerraoui, Jovan Komatovic, Dragos-Adrian Seredinschi
    http://arxiv.org/abs/2001.06271v1

    • [cs.DC]FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data
    Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello
    http://arxiv.org/abs/2001.06139v1

    • [cs.GT]A Novel Methodology for designing Policies in Mobile Crowdsensing Systems
    Alessandro Di Stefano, Marialisa Scatà, Barbara Attanasio, Aurelio La Corte, Pietro Liò, Sajal K. Das
    http://arxiv.org/abs/2001.06437v1

    • [cs.HC]A Study of Mental Maps in Immersive Network Visualization
    Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma, Peter Eades, Andreas Kerren, Karsten Klein, Falk Schreiber
    http://arxiv.org/abs/2001.06462v1

    • [cs.HC]Plato Dialogue System: A Flexible Conversational AI Research Platform
    Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, Gokhan Tur
    http://arxiv.org/abs/2001.06463v1

    • [cs.HC]User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
    Nicolas Lair, Clément Delgrange, David Mugisha, Jean-Michel Dussoux, Pierre-Yves Oudeyer, Peter Ford Dominey
    http://arxiv.org/abs/2001.06007v1

    • [cs.IT]An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes
    Hengjie Yang, Linfang Wang, Vincent Lau, Richard D. Wesel
    http://arxiv.org/abs/2001.06029v1

    • [cs.IT]Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems
    Tadashi Wadayama, Satoshi Takabe
    http://arxiv.org/abs/2001.06126v1

    • [cs.IT]Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation
    Yanjun Han
    http://arxiv.org/abs/2001.06085v1

    • [cs.IT]Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding
    Tomer Raviv, Nir Raviv, Yair Be’ery
    http://arxiv.org/abs/2001.06247v1

    • [cs.IT]Design and Analysis of Online Fountain Codes for Intermediate Performance
    Jingxuan Huang, Zesong Fei, Congzhe Cao, Ming Xiao
    http://arxiv.org/abs/2001.06452v1

    • [cs.IT]Duplication with transposition distance to the root for $q$-ary strings
    Nikita Polyanskii, Ilya Vorobyev
    http://arxiv.org/abs/2001.06242v1

    • [cs.IT]Low Complexity Algorithms for Transmission of Short Blocks over the BSC with Full Feedback
    Amaael Antonini, Hengjie Yang, Richard D. Wesel
    http://arxiv.org/abs/2001.06035v1

    • [cs.IT]On the Capacity of Private Monomial Computation
    Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes
    http://arxiv.org/abs/2001.06320v1

    • [cs.IT]Point-line incidence on Grassmannians and majority logic decoding of Grassmann codes
    Peter Beelen, Prasant Singh
    http://arxiv.org/abs/2001.06278v1

    • [cs.LG]A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks
    Jihun Han, Mihai Nica, Adam R Stinchcombe
    http://arxiv.org/abs/2001.06145v1

    • [cs.LG]ADAMT: A Stochastic Optimization with Trend Correction Scheme
    Bingxin Zhou, Xuebin Zheng, Junbin Gao
    http://arxiv.org/abs/2001.06130v1

    • [cs.LG]An adversarial learning framework for preserving users’ anonymity in face-based emotion recognition
    Vansh Narula, Zhangyang, Wang, Theodora Chaspari
    http://arxiv.org/abs/2001.06103v1

    • [cs.LG]Approximating Activation Functions
    Nicholas Gerard Timmons, Andrew Rice
    http://arxiv.org/abs/2001.06370v1

    • [cs.LG]Better Boosting with Bandits for Online Learning
    Nikolaos Nikolaou, Joseph Mellor, Nikunj C. Oza, Gavin Brown
    http://arxiv.org/abs/2001.06105v1

    • [cs.LG]Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
    Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj, Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
    http://arxiv.org/abs/2001.06099v1

    • [cs.LG]Cyber Attack Detection thanks to Machine Learning Algorithms
    Antoine Delplace, Sheryl Hermoso, Kristofer Anandita
    http://arxiv.org/abs/2001.06309v1

    • [cs.LG]DNNs as Layers of Cooperating Classifiers
    Marelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius, Etienne Barnard
    http://arxiv.org/abs/2001.06178v1

    • [cs.LG]Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning
    Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker
    http://arxiv.org/abs/2001.06246v1

    • [cs.LG]Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant
    Shayan Aziznejad, Harshit Gupta, Joaquim Campos, Michael Unser
    http://arxiv.org/abs/2001.06263v1

    • [cs.LG]Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling
    Lynton Ardizzone, Radek Mackowiak, Ullrich Köthe, Carsten Rother
    http://arxiv.org/abs/2001.06448v1

    • [cs.LG]Fairness Measures for Regression via Probabilistic Classification
    Daniel Steinberg, Alistair Reid, Simon O’Callaghan
    http://arxiv.org/abs/2001.06089v1

    • [cs.LG]FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
    Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
    http://arxiv.org/abs/2001.06202v1

    • [cs.LG]Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation
    Mikhail Hushchyn, Andrey Ustyuzhanin
    http://arxiv.org/abs/2001.06386v1

    • [cs.LG]Gradient descent with momentum —- to accelerate or to super-accelerate?
    Goran Nakerst, John Brennan, Masudul Haque
    http://arxiv.org/abs/2001.06472v1

    • [cs.LG]Graph Inference Learning for Semi-supervised Classification
    Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu
    http://arxiv.org/abs/2001.06137v1

    • [cs.LG]GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
    Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang
    http://arxiv.org/abs/2001.06216v1

    • [cs.LG]Inferring Individual Level Causal Models from Graph-based Relational Time Series
    Ryan Rossi, Somdeb Sarkhel, Nesreen Ahmed
    http://arxiv.org/abs/2001.05993v2

    • [cs.LG]Learning Stable Deep Dynamics Models
    Gaurav Manek, J. Zico Kolter
    http://arxiv.org/abs/2001.06116v1

    • [cs.LG]Sideways: Depth-Parallel Training of Video Models
    Mateusz Malinowski, Grzegorz Swirszcz, Joao Carreira, Viorica Patraucean
    http://arxiv.org/abs/2001.06232v1

    • [cs.LG]Understanding the Power of Persistence Pairing via Permutation Test
    Chen Cai, Yusu Wang
    http://arxiv.org/abs/2001.06058v1

    • [cs.PF]Duet Benchmarking: Improving Measurement Accuracy in the Cloud
    Lubomír Bulej, Vojtěch Horký, Petr Tůma, François Farquet, Aleksandar Prokopec
    http://arxiv.org/abs/2001.05811v2

    • [cs.PL]Proceedings 16th Workshop on Quantitative Aspects of Programming Languages and Systems
    Alessandro Aldini, Herbert Wiklicky
    http://arxiv.org/abs/2001.06163v1

    • [cs.RO]A Reliable Gravity Compensation Control Strategy for dVRK Robotic Arms With Nonlinear Disturbance Forces
    Hongbin Lin, C. W. Vincent Hui, Yan Wang, Anton Deguet, Peter Kazanzides, K. W. Samuel Au
    http://arxiv.org/abs/2001.06156v1

    • [cs.RO]Robust 2 1/2D Visual Servoing of a Cable-Driven Parallel Robot Thanks to Trajectory Tracking
    Zane Zake, François Chaumette, Nicolò Pedemonte, Stéphane Caro
    http://arxiv.org/abs/2001.06324v1

    • [cs.RO]Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach
    Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes
    http://arxiv.org/abs/2001.06175v1

    • [cs.SE]Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions
    Assaf Marron, Lior Limonad, Sarah Pollack, David Harel
    http://arxiv.org/abs/2001.06047v1

    • [cs.SI]Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
    Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
    http://arxiv.org/abs/2001.06362v1

    • [econ.EM]Distributional synthetic controls
    Florian Gunsilius
    http://arxiv.org/abs/2001.06118v1

    • [econ.EM]Entropy Balancing for Continuous Treatments
    Stefan Tübbicke
    http://arxiv.org/abs/2001.06281v1

    • [econ.EM]Recovering Network Structure from Aggregated Relational Data using Penalized Regression
    Hossein Alidaee, Eric Auerbach, Michael P. Leung
    http://arxiv.org/abs/2001.06052v1

    • [eess.IV]Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines
    Zhenbing Zhao, Hongyu Qi, Yincheng Qi, Ke Zhang, Yongjie Zhai, Wenqing Zhao
    http://arxiv.org/abs/2001.06236v1

    • [math.FA]Compactly Supported Quasi-tight Multiframelets with High Balancing Orders and Compact Framelet Transforms
    Bin Han, Ran Lu
    http://arxiv.org/abs/2001.06032v1

    • [math.ST]Testing proportional hazards for specified covariates
    Vilijandas Bagdonavičius, Rūta Levulienė
    http://arxiv.org/abs/2001.06002v1

    • [physics.soc-ph]Communicability in the World Trade Network — A new perspective for community detection
    Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi
    http://arxiv.org/abs/2001.06356v1

    • [stat.AP]Coarsened mixtures of hierarchical skew normal kernels for flow cytometry analyses
    Shai Gorsky, Cliburn Chan, Li Ma
    http://arxiv.org/abs/2001.06451v1

    • [stat.AP]GSSMD: New metric for robust and interpretable assay quality assessment and hit selection
    Seongyong Park, Shujaat Khan
    http://arxiv.org/abs/2001.06384v1

    • [stat.AP]Hierarchical Spatial Modeling of Monotone West Antarctic Snow Density Curves
    Philip A. White, Durban G. Keeler, Summer Rupper
    http://arxiv.org/abs/2001.05520v2

    • [stat.AP]Neglecting Uncertainties Leads to Suboptimal Decisions About Home-Owners Flood Risk Management
    Mahkameh Zarekarizi, Vivek Srikrishnan, Klaus Keller
    http://arxiv.org/abs/2001.06457v1

    • [stat.ME]Approximate Bayesian Bootstrap Procedures to Estimate Multilevel Treatment Effects in Observational Studies with Application to Type 2 Diabetes Treatment Regimens
    Anthony D. Scotina, Andrew R. Zullo, Robert J. Smith, Roee Gutman
    http://arxiv.org/abs/2001.06125v1

    • [stat.ME]Bayesian Inference for Big Spatial Data Using Non-stationary Spectral Simulation
    Hou-Cheng Yang, Jonathan R. Bradley
    http://arxiv.org/abs/2001.06477v1

    • [stat.ME]Causal models for dynamical systems
    Jonas Peters, Stefan Bauer, Niklas Pfister
    http://arxiv.org/abs/2001.06208v1

    • [stat.ME]Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates
    Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian
    http://arxiv.org/abs/2001.06194v1

    • [stat.ME]Double score matching estimators of average and quantile treatment effects
    Shu Yang, Yunshu Zhang
    http://arxiv.org/abs/2001.06049v1

    • [stat.ME]Nonparametric inference for interventional effects with multiple mediators
    David Benkeser
    http://arxiv.org/abs/2001.06027v1

    • [stat.ME]Optimal Crossover Designs for Generalized Linear Models
    Jeevan Jankar, Abhyuday Mandal, Jie Yang
    http://arxiv.org/abs/2001.06168v1

    • [stat.ME]Unit Testing for MCMC and other Monte Carlo Methods
    Axel Gandy, James Scott
    http://arxiv.org/abs/2001.06465v1

    • [stat.ML]Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning
    Marc Bocquet, Julien Brajard, Alberto Carrassi, Laurent Bertino
    http://arxiv.org/abs/2001.06270v1

    • [stat.ML]Extracting more from boosted decision trees: A high energy physics case study
    Vidhi Lalchand
    http://arxiv.org/abs/2001.06033v1

    • [stat.ML]Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives
    Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
    http://arxiv.org/abs/2001.06471v1