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