cond-mat.stat-mech - 统计数学
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.CY - 计算与社会 cs.DB - 数据库 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math-ph - 数学物理 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.stat-mech]Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries
• [cs.AI]Anticipatory Thinking: A Metacognitive Capability
• [cs.AI]The Winnability of Klondike and Many Other Single-Player Card Games
• [cs.CL]Findings of the First Shared Task on Machine Translation Robustness
• [cs.CL]Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation
• [cs.CL]Multi-Criteria Chinese Word Segmentation with Transformer
• [cs.CL]Relating Simple Sentence Representations in Deep Neural Networks and the Brain
• [cs.CL]Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks
• [cs.CL]Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings
• [cs.CL]Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts
• [cs.CR]Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes
• [cs.CR]Privacy-Preserving Distributed Learning with Secret Gradient Descent
• [cs.CR]SeF: A Secure Fountain Architecture for Slashing Storage Costs in Blockchains
• [cs.CV]A Utility-Preserving GAN for Face Obscuration
• [cs.CV]A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences
• [cs.CV]BTEL: A Binary Tree Encoding Approach for Visual Localization
• [cs.CV]Background Subtraction using Adaptive Singular Value Decomposition
• [cs.CV]Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification
• [cs.CV]Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN
• [cs.CV]Localizing Unseen Activities in Video via Image Query
• [cs.CV]On the notion of number in humans and machines
• [cs.CV]Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks
• [cs.CV]Place recognition in gardens by learning visual representations: data set and benchmark analysis
• [cs.CV]PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
• [cs.CV]ProtoNet: Learning from Web Data with Memory
• [cs.CY]Analyzing GDPR Compliance Through the Lens of Privacy Policy
• [cs.CY]Implementing Ethics in AI: An industrial multiple case study
• [cs.CY]Safeguarding the Evidential Value of Forensic Cryptocurrency Investigations
• [cs.DB]Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!
• [cs.ET]4K-Memristor Analog-Grade Passive Crossbar Circuit
• [cs.HC]Studying the Impact of Mood on Identifying Smartphone Users
• [cs.IR]Uncovering the Semantics of Wikipedia Categories
• [cs.IT]Access Balancing in Storage Systems by Labeling Partial Steiner Systems
• [cs.IT]Binary optimal linear codes from posets of the disjoint union of two chains
• [cs.IT]Can Marton Coding Alone Ensure Individual Secrecy?
• [cs.IT]Throughput Scaling of Covert Communication over Wireless Adhoc Networks
• [cs.IT]Towards Assigning Priorities in Queues Using Age of Information
• [cs.LG]ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
• [cs.LG]Certifiable Robustness and Robust Training for Graph Convolutional Networks
• [cs.LG]Continual Rare-Class Recognition with Emerging Novel Subclasses
• [cs.LG]DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
• [cs.LG]Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce
• [cs.LG]FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
• [cs.LG]Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
• [cs.LG]GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
• [cs.LG]Growing Action Spaces
• [cs.LG]L*-Based Learning of Markov Decision Processes (Extended Version)
• [cs.LG]Learning to Cope with Adversarial Attacks
• [cs.LG]MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data
• [cs.LG]Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection
• [cs.LG]One Embedding To Do Them All
• [cs.LG]Quantile Regression Deep Reinforcement Learning
• [cs.LG]RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators
• [cs.LG]Rényi Fair Inference
• [cs.LG]Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning
• [cs.LG]Searching for Interaction Functions in Collaborative Filtering
• [cs.LG]Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
• [cs.LG]Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
• [cs.LG]Variational Mandible Shape Completion for Virtual Surgical Planning
• [cs.NE]High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons
• [cs.NE]Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors
• [cs.NI]Multivariate Big Data Analysis for Intrusion Detection: 5 steps from the haystack to the needle
• [cs.PL]A Neural-based Program Decompiler
• [cs.PL]Category-Theoretic Foundations of “STCLang: State Thread Composition as a Foundation for Monadic Dataflow Parallelism”
• [cs.RO]Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation
• [cs.RO]Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization
• [cs.RO]Robotic Supervised Autonomy: A Review
• [cs.RO]Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors
• [cs.SI]Adversarial Representation Learning on Large-Scale Bipartite Graphs
• [cs.SI]Automatic Discovery of Families of Network Generative Processes
• [cs.SI]Critical Edge Identification: A K-Truss Based Model
• [cs.SI]K-Core Maximization through Edge Additions
• [cs.SI]Modularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling
• [cs.SI]To Act or React: Investigating Proactive Strategies For Online Community Moderation
• [eess.IV]Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
• [eess.IV]Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy
• [eess.IV]Automated characterization of noise distributions in diffusion MRI data
• [eess.IV]Densely Residual Laplacian Super-Resolution
• [eess.SP]The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection
• [math-ph]Recursion scheme for the largest $β$-Wishart-Laguerre eigenvalue and Landauer conductance in quantum transport
• [math.NA]Error bounds for deep ReLU networks using the Kolmogorov—Arnold superposition theorem
• [math.NA]FameSVD: Fast and Memory-efficient Singular Value Decomposition
• [math.OC]Asymptotic Network Independence in Distributed Optimization for Machine Learning
• [math.OC]Geodesic analysis in Kendall’s shape space with epidemiological applications
• [math.OC]Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond
• [math.ST]Differentially private sub-Gaussian location estimators
• [math.ST]Multiple Testing and Variable Selection along Least Angle Regression’s path
• [math.ST]Robust test for dispersion parameter change in discretely observed diffusion processes
• [physics.data-an]Chi-squared Test for Binned, Gaussian Samples
• [physics.soc-ph]Modeling echo chambers and polarization dynamics in social networks
• [q-bio.NC]Symphony of high-dimensional brain
• [stat.AP]Conformity bias in the cultural transmission of music sampling traditions
• [stat.AP]Estimating adult death rates from sibling histories: A network approach
• [stat.CO]A Python Library For Empirical Calibration
• [stat.CO]Consensus Monte Carlo for Random Subsets using Shared Anchors
• [stat.ME]A Bayesian Phylogenetic Hidden Markov Model for B Cell Receptor Sequence Analysis
• [stat.ME]Direct Estimation of Difference Between Structural Equation Models in High Dimensions
• [stat.ME]Formulating causal questions and principled statistical answers
• [stat.ME]High-dimensional principal component analysis with heterogeneous missingness
• [stat.ME]On the conditional distribution of the mean of the two closest among a set of three observations
• [stat.ML]Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions
• [stat.ML]Causal Regularization
• [stat.ML]Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics
• [stat.ML]Large scale Lasso with windowed active set for convolutional spike sorting
• [stat.ML]Neural ODEs as the Deep Limit of ResNets with constant weights
• [stat.ML]Statistical Learning from Biased Training Samples
·····································
• [cond-mat.stat-mech]Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries
Gregory Wimsatt, Olli-Pentti Saira, Alexander B. Boyd, Matthew H. Matheny, Siyuan Han, Michael L. Roukes, James P. Crutchfield
http://arxiv.org/abs/1906.11973v1
• [cs.AI]Anticipatory Thinking: A Metacognitive Capability
Adam Amos-Binks, Dustin Dannenhauer
http://arxiv.org/abs/1906.12249v1
• [cs.AI]The Winnability of Klondike and Many Other Single-Player Card Games
Charlie Blake, Ian P. Gent
http://arxiv.org/abs/1906.12314v1
• [cs.CL]Findings of the First Shared Task on Machine Translation Robustness
Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Pino, Hassan Sajjad
http://arxiv.org/abs/1906.11943v1
• [cs.CL]Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation
Eva Vanmassenhove, Dimitar Shterionov, Andy Way
http://arxiv.org/abs/1906.12068v1
• [cs.CL]Multi-Criteria Chinese Word Segmentation with Transformer
Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang
http://arxiv.org/abs/1906.12035v1
• [cs.CL]Relating Simple Sentence Representations in Deep Neural Networks and the Brain
Sharmistha Jat, Hao Tang, Partha Talukdar, Tom Mitchell
http://arxiv.org/abs/1906.11861v1
• [cs.CL]Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks
Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Matthias Grabmair, Anthony Tomasic
http://arxiv.org/abs/1906.12039v1
• [cs.CL]Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings
Ananya Poddar, Bharath Dandala, Murthy Devarakonda
http://arxiv.org/abs/1906.11930v1
• [cs.CL]Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts
Denis Emelin, Ivan Titov, Rico Sennrich
http://arxiv.org/abs/1906.12284v1
• [cs.CR]Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes
Linan Huang, Quanyan Zhu
http://arxiv.org/abs/1906.12182v1
• [cs.CR]Privacy-Preserving Distributed Learning with Secret Gradient Descent
Valentin Hartmann, Robert West
http://arxiv.org/abs/1906.11993v1
• [cs.CR]SeF: A Secure Fountain Architecture for Slashing Storage Costs in Blockchains
Swanand Kadhe, Jichan Chung, Kannan Ramchandran
http://arxiv.org/abs/1906.12140v1
• [cs.CV]A Utility-Preserving GAN for Face Obscuration
Hanxiang Hao, David Güera, Amy R. Reibman, Edward J. Delp
http://arxiv.org/abs/1906.11979v1
• [cs.CV]A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences
Nikos Melanitis, Petros Maragos
http://arxiv.org/abs/1906.12075v1
• [cs.CV]BTEL: A Binary Tree Encoding Approach for Visual Localization
Huu Le, Tuan Hoang, Michael Milford
http://arxiv.org/abs/1906.11992v1
• [cs.CV]Background Subtraction using Adaptive Singular Value Decomposition
Günther Reitberger, Tomas Sauer
http://arxiv.org/abs/1906.12064v1
• [cs.CV]Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification
Ringo S. W. Chu, Ho-Cheung Ng, Xiwei Wang, Wayne Luk
http://arxiv.org/abs/1906.11981v1
• [cs.CV]Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN
Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P Bradley, Shekhar S. Chandra
http://arxiv.org/abs/1906.12118v1
• [cs.CV]Localizing Unseen Activities in Video via Image Query
Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai
http://arxiv.org/abs/1906.12165v1
• [cs.CV]On the notion of number in humans and machines
Norbert Bátfai, Dávid Papp, Gergő Bogacsovics, Máté Szabó, Viktor Szilárd Simkó, Márió Bersenszki, Gergely Szabó, Lajos Kovács, Ferencz Kovács, Erik Szilveszter Varga
http://arxiv.org/abs/1906.12213v1
• [cs.CV]Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks
Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He
http://arxiv.org/abs/1906.12158v1
• [cs.CV]Place recognition in gardens by learning visual representations: data set and benchmark analysis
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
http://arxiv.org/abs/1906.12151v1
• [cs.CV]PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan
http://arxiv.org/abs/1906.12320v1
• [cs.CV]ProtoNet: Learning from Web Data with Memory
Yi Tu, Li Niu, Dawei Cheng, Liqing Zhang
http://arxiv.org/abs/1906.12028v1
• [cs.CY]Analyzing GDPR Compliance Through the Lens of Privacy Policy
Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram
http://arxiv.org/abs/1906.12038v1
• [cs.CY]Implementing Ethics in AI: An industrial multiple case study
Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson
http://arxiv.org/abs/1906.12307v1
• [cs.CY]Safeguarding the Evidential Value of Forensic Cryptocurrency Investigations
Michael Fröwis, Thilo Gottschalk, Bernhard Haslhofer, Christian Rückert, Paulina Pesch
http://arxiv.org/abs/1906.12221v1
• [cs.DB]Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!
Ruoming Jin, Zhen Peng, Wendell Wu, Feodor Dragan, Gagan Agrawal, Bin Ren
http://arxiv.org/abs/1906.12018v1
• [cs.ET]4K-Memristor Analog-Grade Passive Crossbar Circuit
Hyungjin Kim, Hussein Nili, Mahmood Mahmoodi, Dmitri Strukov
http://arxiv.org/abs/1906.12045v1
• [cs.HC]Studying the Impact of Mood on Identifying Smartphone Users
Khadija Zanna, Sayde King, Tempestt Neal, Shaun Canavan
http://arxiv.org/abs/1906.11960v1
• [cs.IR]Uncovering the Semantics of Wikipedia Categories
Nicolas Heist, Heiko Paulheim
http://arxiv.org/abs/1906.12089v1
• [cs.IT]Access Balancing in Storage Systems by Labeling Partial Steiner Systems
Yeow Meng Chee, Charles J. Colbourn, Hoang Dau, Ryan Gabrys, Alan C. H. Ling, Dylan Lusi, Olgica Milenkovic
http://arxiv.org/abs/1906.12073v1
• [cs.IT]Binary optimal linear codes from posets of the disjoint union of two chains
Yansheng Wu, Jong Yoon Hyun, Qin Yue
http://arxiv.org/abs/1906.12017v1
• [cs.IT]Can Marton Coding Alone Ensure Individual Secrecy?
Jin Yeong Tan, Lawrence Ong, Behzad Asadi
http://arxiv.org/abs/1906.12326v1
• [cs.IT]Throughput Scaling of Covert Communication over Wireless Adhoc Networks
Kang-Hee Cho, Si-Hyeon Lee, Vincent Y. F. Tan
http://arxiv.org/abs/1906.12092v1
• [cs.IT]Towards Assigning Priorities in Queues Using Age of Information
Jin Xu, Natarajan Gautam
http://arxiv.org/abs/1906.12278v1
• [cs.LG]ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li, Ge Li
http://arxiv.org/abs/1906.12087v1
• [cs.LG]Certifiable Robustness and Robust Training for Graph Convolutional Networks
Daniel Zügner, Stephan Günnemann
http://arxiv.org/abs/1906.12269v1
• [cs.LG]Continual Rare-Class Recognition with Emerging Novel Subclasses
Hung Nguyen, Xuejian Wang, Leman Akoglu
http://arxiv.org/abs/1906.12218v1
• [cs.LG]DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher
http://arxiv.org/abs/1906.12056v1
• [cs.LG]Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce
Sajan Kedia, Manchit Madan, Sumit Borar
http://arxiv.org/abs/1906.12128v1
• [cs.LG]FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson
http://arxiv.org/abs/1906.12230v1
• [cs.LG]Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
http://arxiv.org/abs/1906.12043v1
• [cs.LG]GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
http://arxiv.org/abs/1906.12192v1
• [cs.LG]Growing Action Spaces
Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
http://arxiv.org/abs/1906.12266v1
• [cs.LG]**L-Based Learning of Markov Decision Processes (Extended Version)
Martin Tappler, Bernhard K. Aichernig, Giovanni Bacci, Maria Eichlseder, Kim G. Larsen
http://arxiv.org/abs/1906.12239v1
• [cs.LG]Learning to Cope with Adversarial Attacks
Xian Yeow Lee, Aaron Havens, Girish Chowdhary, Soumik Sarkar
http://arxiv.org/abs/1906.12061v1
• [cs.LG]MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data
Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni
http://arxiv.org/abs/1906.12348v1
• [cs.LG]Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark Jones, Christopher Brereton, John Hurst, David Hawkes, Joseph Jacob
http://arxiv.org/abs/1906.12225v1
• [cs.LG]One Embedding To Do Them All
Loveperteek Singh, Shreya Singh, Sagar Arora, Sumit Borar
http://arxiv.org/abs/1906.12120v1
• [cs.LG]Quantile Regression Deep Reinforcement Learning
Oliver Richter, Roger Wattenhofer
http://arxiv.org/abs/1906.11941v1
• [cs.LG]RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators
David Meredith
http://arxiv.org/abs/1906.12286v1
• [cs.LG]Rényi Fair Inference
Sina Baharlouei, Maher Nouiehed, Meisam Razaviyayn
http://arxiv.org/abs/1906.12005v1
• [cs.LG]Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning
Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause
http://arxiv.org/abs/1906.12086v1
• [cs.LG]Searching for Interaction Functions in Collaborative Filtering
Quanming Yao, Xiangning Chen, James Kwok, Yong Li
http://arxiv.org/abs/1906.12091v1
• [cs.LG]Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Evan Racah, Christopher Pal
http://arxiv.org/abs/1906.11951v1
• [cs.LG]Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song
http://arxiv.org/abs/1906.12340v1
• [cs.LG]Variational Mandible Shape Completion for Virtual Surgical Planning
Amir H. Abdi, Mehran Pesteie, Eitan Prisman, Purang Abolmaesumi, Sidney Fels
http://arxiv.org/abs/1906.11957v1
• [cs.NE]High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons
Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Alex Beigh, Scott Douglass
http://arxiv.org/abs/1906.12338v1
• [cs.NE]Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors
Fredrik Sandin, Mattias Nilsson
http://arxiv.org/abs/1906.12282v1
• [cs.NI]Multivariate Big Data Analysis for Intrusion Detection: 5 steps from the haystack to the needle
José Camacho, José Manuel García-Giménez, Noemí Marta Fuentes-García, Gabriel Maciá-Fernández
http://arxiv.org/abs/1906.11976v1
• [cs.PL]A Neural-based Program Decompiler
Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao
http://arxiv.org/abs/1906.12029v1
• [cs.PL]Category-Theoretic Foundations of “STCLang: State Thread Composition as a Foundation for Monadic Dataflow Parallelism”
Sebastian Ertel, Justus Adam, Norman A. Rink, Andrés Goens, Jeronimo Castrillon
http://arxiv.org/abs/1906.12098v1
• [cs.RO]Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation
Yoojin Oh, Marc Toussaint, Jim Mainprice
http://arxiv.org/abs/1906.12280v1
• [cs.RO]Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization
Philipp Kratzer, Marc Toussaint, Jim Mainprice
http://arxiv.org/abs/1906.12279v1
• [cs.RO]Robotic Supervised Autonomy: A Review
Yangming Li
http://arxiv.org/abs/1906.11858v1
• [cs.RO]Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors
Stefan Stevsic, Tobias Naegeli, Javier Alonso-Mora, Otmar Hilliges
http://arxiv.org/abs/1906.12082v1
• [cs.SI]Adversarial Representation Learning on Large-Scale Bipartite Graphs
Chaoyang He, Tian Xie, Yu Rong, Wenbing Huang, Junzhou Huang, Xiang Ren, Cyrus Shahabi
http://arxiv.org/abs/1906.11994v1
• [cs.SI]Automatic Discovery of Families of Network Generative Processes
Telmo Menezes, Camille Roth
http://arxiv.org/abs/1906.12332v1
• [cs.SI]Critical Edge Identification: A K-Truss Based Model
Wenjie Zhu, Mengqi Zhang, Chen Chen, Xiaoyang Wang, Fan Zhang, Xuemin Lin
http://arxiv.org/abs/1906.12335v1
• [cs.SI]K-Core Maximization through Edge Additions
Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen
http://arxiv.org/abs/1906.12334v1
• [cs.SI]Modularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling
Alessia Amelio, Giuseppe Mangioni, Andrea Tagarelli
http://arxiv.org/abs/1906.12204v1
• [cs.SI]To Act or React: Investigating Proactive Strategies For Online Community Moderation
Hussam Habib, Maaz Bin Musa, Fareed Zaffar, Rishab Nithyanand
http://arxiv.org/abs/1906.11932v1
• [eess.IV]Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
Zhun Fan, Jiajie Mo, Benzhang Qiu
http://arxiv.org/abs/1906.12193v1
• [eess.IV]Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy
Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Išgum, Marius Staring
http://arxiv.org/abs/1906.12223v1
• [eess.IV]Automated characterization of noise distributions in diffusion MRI data
Samuel St-Jean, Alberto De Luca, Chantal M. W. Tax, Max A. Viergever, Alexander Leemans
http://arxiv.org/abs/1906.12121v1
• [eess.IV]Densely Residual Laplacian Super-Resolution
Saeed Anwar, Nick Barnes
http://arxiv.org/abs/1906.12021v1
• [eess.SP]The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection
Telmo Felgueira, Silvio Rodrigues, Christian S. Perone, Rui Castro
http://arxiv.org/abs/1906.12329v1
• [math-ph]Recursion scheme for the largest $β$-Wishart-Laguerre eigenvalue and Landauer conductance in quantum transport
Peter J. Forrester, Santosh Kumar
http://arxiv.org/abs/1906.12074v1
• [math.NA]Error bounds for deep ReLU networks using the Kolmogorov—Arnold superposition theorem
Hadrien Montanelli, Haizhao Yang
http://arxiv.org/abs/1906.11945v1
• [math.NA]FameSVD: Fast and Memory-efficient Singular Value Decomposition
Xiaocan Li, Shuo Wang, Yinghao Cai
http://arxiv.org/abs/1906.12085v1
• [math.OC]Asymptotic Network Independence in Distributed Optimization for Machine Learning
Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu
http://arxiv.org/abs/1906.12345v1
• [math.OC]Geodesic analysis in Kendall’s shape space with epidemiological applications
Esfandiar Nava-Yazdani, Hans-Christian Hege, T. J. Sullivan, Christoph von Tycowicz
http://arxiv.org/abs/1906.11950v1
• [math.OC]Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond
Oliver Hinder, Aaron Sidford, Nimit Sharad Sohoni
http://arxiv.org/abs/1906.11985v1
• [math.ST]Differentially private sub-Gaussian location estimators
Marco Avella-Medina, Victor-Emmanuel Brunel
http://arxiv.org/abs/1906.11923v1
• [math.ST]Multiple Testing and Variable Selection along Least Angle Regression’s path
J. -M. Azaïs, Y. De Castro
http://arxiv.org/abs/1906.12072v1
• [math.ST]Robust test for dispersion parameter change in discretely observed diffusion processes
Junmo Song
http://arxiv.org/abs/1906.12208v1
• [physics.data-an]Chi-squared Test for Binned, Gaussian Samples
Nicholas R. Hutzler
http://arxiv.org/abs/1906.11748v1
• [physics.soc-ph]Modeling echo chambers and polarization dynamics in social networks
Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov, Michele Starnini
http://arxiv.org/abs/1906.12325v1
• [q-bio.NC]Symphony of high-dimensional brain
Alexander N. Gorban, Valeri A. Makarov, Ivan Y. Tyukin
http://arxiv.org/abs/1906.12222v1
• [stat.AP]Conformity bias in the cultural transmission of music sampling traditions
Mason Youngblood
http://arxiv.org/abs/1906.11928v1
• [stat.AP]Estimating adult death rates from sibling histories: A network approach
Dennis M. Feehan, Gabriel M. Borges
http://arxiv.org/abs/1906.12000v1
• [stat.CO]A Python Library For Empirical Calibration
Xiaojing Wang, Jingang Miao, Yunting Sun
http://arxiv.org/abs/1906.11920v1
• [stat.CO]Consensus Monte Carlo for Random Subsets using Shared Anchors
Yang Ni, Yuan Ji, Peter Mueller
http://arxiv.org/abs/1906.12309v1
• [stat.ME]A Bayesian Phylogenetic Hidden Markov Model for B Cell Receptor Sequence Analysis
Amrit Dhar, Duncan K. Ralph, Vladimir N. Minin, Frederick A. Matsen IV
http://arxiv.org/abs/1906.11982v1
• [stat.ME]Direct Estimation of Difference Between Structural Equation Models in High Dimensions
Asish Ghoshal, Jean Honorio
http://arxiv.org/abs/1906.12024v1
• [stat.ME]Formulating causal questions and principled statistical answers
Els Goetghebeur, Saskia le Cessie, Bianca De Stavola, Erica Moodie, Ingeborg Waernbaum
http://arxiv.org/abs/1906.12100v1
• [stat.ME]High-dimensional principal component analysis with heterogeneous missingness
Ziwei Zhu, Tengyao Wang, Richard J. Samworth
http://arxiv.org/abs/1906.12125v1
• [stat.ME]On the conditional distribution of the mean of the two closest among a set of three observations
I. J. H. Visagie, F. Lombard
http://arxiv.org/abs/1906.12106v1
• [stat.ML]Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions
Simon Luo, Mahito Sugiyama
http://arxiv.org/abs/1906.12063v1
• [stat.ML]Causal Regularization
Dominik Janzing
http://arxiv.org/abs/1906.12179v1
• [stat.ML]Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics
Sebastian Riedel, Freek Stulp
http://arxiv.org/abs/1906.11909v1
• [stat.ML]Large scale Lasso with windowed active set for convolutional spike sorting
Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret
http://arxiv.org/abs/1906.12077v1
• [stat.ML]Neural ODEs as the Deep Limit of ResNets with constant weights
Benny Avelin, Kaj Nyström
http://arxiv.org/abs/1906.12183v1
• [stat.ML]Statistical Learning from Biased Training Samples
Pierre Laforgue, Stephan Clémençon
http://arxiv.org/abs/1906.12304v1