cs.AI - 人工智能

    cs.CC - 计算复杂度 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.DC - 分布式、并行与集群计算 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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 cs.SY - 系统与控制 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-ph - 高能物理现象学 q-bio.NC - 神经元与认知 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]ASER: A Large-scale Eventuality Knowledge Graph
    • [cs.AI]Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming
    • [cs.CC]On a conditional inequality in Kolmogorov complexity and its applications in communication complexity
    • [cs.CL]Context-Dependent Semantic Parsing over Temporally Structured Data
    • [cs.CL]FastContext: an efficient and scalable implementation of the ConText algorithm
    • [cs.CL]Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors
    • [cs.CR]MAVSec: Securing the MAVLink Protocol for Ardupilot/PX4 Unmanned Aerial Systems
    • [cs.CR]To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
    • [cs.CV]3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation
    • [cs.CV]AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
    • [cs.CV]Appearance and Pose-Conditioned Human Image Generation using Deformable GANs
    • [cs.CV]Attentive Spatio-Temporal Representation Learning for Diving Classification
    • [cs.CV]Automatic Dataset Augmentation Using Virtual Human Simulation
    • [cs.CV]Bean Split Ratio for Dry Bean Canning Quality and Variety Analysis
    • [cs.CV]Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification
    • [cs.CV]Estimation of Tissue Oxygen Saturation from RGB images and Sparse Hyperspectral Signals based on Conditional Generative Adversarial Network
    • [cs.CV]Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features
    • [cs.CV]Handwritten Chinese Font Generation with Collaborative Stroke Refinement
    • [cs.CV]Harmonic Networks with Limited Training Samples
    • [cs.CV]Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
    • [cs.CV]Learn to synthesize and synthesize to learn
    • [cs.CV]Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
    • [cs.CV]Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch
    • [cs.CV]Pushing the Boundaries of View Extrapolation with Multiplane Images
    • [cs.CV]Self-Supervised Convolutional Subspace Clustering Network
    • [cs.CV]Sex-Prediction from Periocular Images across Multiple Sensors and Spectra
    • [cs.CV]Towards computer vision powered color-nutrient assessment of pureed food
    • [cs.CV]Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions
    • [cs.CY]Beyond Mobile Apps: A Survey of Technologies for Mental Well-being
    • [cs.CY]Large-scale and high-resolution analysis of food purchases and health outcomes
    • [cs.DC]How to Color a French Flag—Biologically Inspired Algorithms for Scale-Invariant Patterning
    • [cs.IR]Emotional Contribution Analysis of Online Reviews
    • [cs.IR]On the Use of ArXiv as a Dataset
    • [cs.IR]Personalized Ranking in eCommerce Search
    • [cs.IT]How to Find New Characteristic-Dependent Linear Rank Inequalities using Binary Matrices as a Guide
    • [cs.IT]LDPC Coded Multiuser Shaping for the Gaussian Multiple Access Channel
    • [cs.IT]New Infinite Families of Perfect Quaternion Sequences and Williamson Sequences
    • [cs.IT]ON-OFF Privacy with Correlated Requests
    • [cs.IT]On the Utility of the Inverse Gamma Distribution in Modeling Composite Fading Channels
    • [cs.IT]Source Coding Based mmWave Channel Estimation with Deep Learning Based Decoding
    • [cs.IT]Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
    • [cs.IT]Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling
    • [cs.IT]Universal Mutual Information Privacy Guarantees for Smart Meters
    • [cs.IT]Unveiling the Hyper-Rayleigh Regime of the Fluctuating Two-Ray Fading Model
    • [cs.LG]AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles
    • [cs.LG]Detecting Adversarial Examples through Nonlinear Dimensionality Reduction
    • [cs.LG]Dropping Pixels for Adversarial Robustness
    • [cs.LG]Dynamic Prediction of Origin-Destination Flows Using Fusion Line Graph Convolutional Networks
    • [cs.LG]Fair Classification and Social Welfare
    • [cs.LG]Fast AutoAugment
    • [cs.LG]High-Performance Support Vector Machines and Its Applications
    • [cs.LG]Information-Theoretic Considerations in Batch Reinforcement Learning
    • [cs.LG]Interpretable multiclass classification by MDL-based rule lists
    • [cs.LG]Introducing Graph Smoothness Loss for Training Deep Learning Architectures
    • [cs.LG]MixHop: Higher-Order Graph Convolution Architectures via Sparsified Neighborhood Mixing
    • [cs.LG]Model Comparison for Semantic Grouping
    • [cs.LG]Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)
    • [cs.LG]On Scalable and Efficient Computation of Large Scale Optimal Transport
    • [cs.LG]ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning
    • [cs.LG]Similarity of Neural Network Representations Revisited
    • [cs.LG]Surface Type Classification for Autonomous Robot Indoor Navigation
    • [cs.LG]Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer
    • [cs.NI]D2D Multicast in Underlay Cellular Networks with Exclusion Zones
    • [cs.RO]3D Grasp Stability Analysis with Coulomb Friction with Hierarchical Convex Relaxations
    • [cs.RO]A Self-Organizing Network with Varying Density Structure for Characterizing Sensorimotor Transformations in Robotic Systems
    • [cs.RO]Cyber-Physical Testbed for Human-Robot Collaborative Task Planning and Execution
    • [cs.RO]Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving
    • [cs.SD]Deep Learning for Audio Signal Processing
    • [cs.SI]A Scale-Consistent Approach for Recommender Systems
    • [cs.SY]On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks — An Optimal Power Flow Approach
    • [econ.EM]Boosting the Hodrick-Prescott Filter
    • [eess.IV]Multi-level Encoder-Decoder Architectures for Image Restoration
    • [eess.SP]Enhanced Orthogonal Frequency-Division Multiplexing with Subcarrier Number Modulation
    • [eess.SP]Optimal Preamble Length for Spectral Efficiency in Grant-Free RA with Massive MIMO
    • [hep-ph]Class Imbalance Techniques for High Energy Physics
    • [q-bio.NC]Gradient-free activation maximization for identifying effective stimuli
    • [quant-ph]Adaptive Routing for Quantum Memory Failures in the Quantum Internet
    • [quant-ph]Dense Quantum Measurement Theory
    • [quant-ph]Entanglement Access Control for the Quantum Internet
    • [quant-ph]Opportunistic Entanglement Distribution for the Quantum Internet
    • [stat.AP]Composite local low-rank structure in learning drug sensitivity
    • [stat.AP]Developing a large scale population screening tool for the assessment of Parkinson’s disease using telephone-quality voice
    • [stat.AP]Prevalence of international migration: an alternative for small area estimation
    • [stat.AP]Probabilistic Predictive Principal Component Analysis for Spatially-Misaligned and High-Dimensional Air Pollution Data with Missing Observations
    • [stat.ME]A guide to Value of Information methods for prioritising research in health impact modelling
    • [stat.ME]Asymptotically optimal sequential FDR and pFDR control with (or without) prior information on the number of signals
    • [stat.ME]Handling an uncertain control group event risk in non-inferiority trials: non-inferiority frontiers and the power-stabilising transformation
    • [stat.ME]Quantum Generalized Linear Models
    • [stat.ME]Scalable GWR: A linear-time algorithm for large-scale geographically weighted regression with polynomial kernels
    • [stat.ME]Smooth Density Spatial Quantile Regression
    • [stat.ML]Active Manifolds: A non-linear analogue to Active Subspaces
    • [stat.ML]Ensemble Distribution Distillation
    • [stat.ML]LS-SVR as a Bayesian RBF network
    • [stat.OT]First digit law from Laplace transform

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    • [cs.AI]ASER: A Large-scale Eventuality Knowledge Graph
    Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki, Leung
    http://arxiv.org/abs/1905.00270v1

    • [cs.AI]Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming
    Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral
    http://arxiv.org/abs/1905.00198v1

    • [cs.CC]On a conditional inequality in Kolmogorov complexity and its applications in communication complexity
    Andrei Romashchenko, Marius Zimand
    http://arxiv.org/abs/1905.00164v1

    • [cs.CL]Context-Dependent Semantic Parsing over Temporally Structured Data
    Charles Chen, Razvan Bunescu
    http://arxiv.org/abs/1905.00245v1

    • [cs.CL]FastContext: an efficient and scalable implementation of the ConText algorithm
    Jianlin Shi, John F. Hurdle
    http://arxiv.org/abs/1905.00079v1

    • [cs.CL]Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors
    Trung Trinh, Tho Quan, Trung Mai
    http://arxiv.org/abs/1905.00195v1

    • [cs.CR]MAVSec: Securing the MAVLink Protocol for Ardupilot/PX4 Unmanned Aerial Systems
    Azza Allouch, Omar Cheikhrouhou, Anis Koubaa, Mohamed Khalgui, Tarek Abbes
    http://arxiv.org/abs/1905.00265v1

    • [cs.CR]To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
    Li Chen, Carter Yagemann, Evan Downing
    http://arxiv.org/abs/1905.00122v1

    • [cs.CV]3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation
    Stylianos Moschoglou, Stylianos Ploumpis, Mihalis Nicolaou, Stefanos Zafeiriou
    http://arxiv.org/abs/1905.00307v1

    • [cs.CV]AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
    Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/1905.00292v1

    • [cs.CV]Appearance and Pose-Conditioned Human Image Generation using Deformable GANs
    Aliaksandr Siarohin, Stéphane Lathuilière, Enver Sangineto, Nicu Sebe
    http://arxiv.org/abs/1905.00007v1

    • [cs.CV]Attentive Spatio-Temporal Representation Learning for Diving Classification
    Gagan Kanojia, Sudhakar Kumawat, Shanmuganathan Raman
    http://arxiv.org/abs/1905.00050v1

    • [cs.CV]Automatic Dataset Augmentation Using Virtual Human Simulation
    Marcelo C. Ghilardi, Leandro Dihl, Estevão Testa, Pedro Braga, João P. Pianta, Isabel H. Manssour, Soraia R. Musse
    http://arxiv.org/abs/1905.00261v1

    • [cs.CV]Bean Split Ratio for Dry Bean Canning Quality and Variety Analysis
    Yunfei Long, Amber Bassett, Karen Cichy, Addie Thompson, Daniel Morris
    http://arxiv.org/abs/1905.00336v1

    • [cs.CV]Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification
    Jinjia Peng, Huibing Wang, Xianping Fu
    http://arxiv.org/abs/1905.00006v1

    • [cs.CV]Estimation of Tissue Oxygen Saturation from RGB images and Sparse Hyperspectral Signals based on Conditional Generative Adversarial Network
    Qingbiao Li, Jianyu Lin, Neil T. Clancy, Daniel S. Elson
    http://arxiv.org/abs/1905.00391v1

    • [cs.CV]Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features
    Juan Tapia, Claudia Arellano
    http://arxiv.org/abs/1905.00372v1

    • [cs.CV]Handwritten Chinese Font Generation with Collaborative Stroke Refinement
    Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian
    http://arxiv.org/abs/1904.13268v2

    • [cs.CV]Harmonic Networks with Limited Training Samples
    Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
    http://arxiv.org/abs/1905.00135v1

    • [cs.CV]Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
    Matan Goldman, Tal Hassner, Shai Avidan
    http://arxiv.org/abs/1905.00401v1

    • [cs.CV]Learn to synthesize and synthesize to learn
    Behzad Bozorgtabar, Mohammad Saeed Rad, Hazım Kemal Ekenel, Jean-Philippe Thiran
    http://arxiv.org/abs/1905.00286v1

    • [cs.CV]Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
    Braden Hurl, Krzysztof Czarnecki, Steven Waslander
    http://arxiv.org/abs/1905.00160v1

    • [cs.CV]Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch
    Danna Gurari, Yinan Zhao, Suyog Dutt Jain, Margrit Betke, Kristen Grauman
    http://arxiv.org/abs/1905.00060v1

    • [cs.CV]Pushing the Boundaries of View Extrapolation with Multiplane Images
    Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely
    http://arxiv.org/abs/1905.00413v1

    • [cs.CV]Self-Supervised Convolutional Subspace Clustering Network
    Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin
    http://arxiv.org/abs/1905.00149v1

    • [cs.CV]Sex-Prediction from Periocular Images across Multiple Sensors and Spectra
    Juan Tapia, Christian Rathgeb, Christoph Busch
    http://arxiv.org/abs/1905.00396v1

    • [cs.CV]Towards computer vision powered color-nutrient assessment of pureed food
    Kaylen J. Pfisterer, Robert Amelard, Braeden Syrnyk, Alexander Wong
    http://arxiv.org/abs/1905.00310v1

    • [cs.CV]Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions
    Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão, Christian Gagné
    http://arxiv.org/abs/1905.00174v1

    • [cs.CY]Beyond Mobile Apps: A Survey of Technologies for Mental Well-being
    Kieran Woodward, Eiman Kanjo, David Brown, T. M. McGinnity, Becky Inkster, Donald J Macintyre, Athanasios Tsanas
    http://arxiv.org/abs/1905.00288v1

    • [cs.CY]Large-scale and high-resolution analysis of food purchases and health outcomes
    Luca Maria Aiello, Rossano Schifanella, Daniele Quercia, Lucia Del Prete
    http://arxiv.org/abs/1905.00140v1

    • [cs.DC]How to Color a French Flag—Biologically Inspired Algorithms for Scale-Invariant Patterning
    Alberto Ancona, Ayesha Bajwa, Nancy Lynch, Frederik Mallmann-Trenn
    http://arxiv.org/abs/1905.00342v1

    • [cs.IR]Emotional Contribution Analysis of Online Reviews
    Elisa Claire Alemán Carreón, Hirofumi Nonaka, Toru Hiraoka, Minoru Kumano, Takao Ito, Masaharu Hirota
    http://arxiv.org/abs/1905.00185v1

    • [cs.IR]On the Use of ArXiv as a Dataset
    Colin B. Clement, Matthew Bierbaum, Kevin P. O’Keeffe, Alexander A. Alemi
    http://arxiv.org/abs/1905.00075v1

    • [cs.IR]Personalized Ranking in eCommerce Search
    Grigor Aslanyan, Aritra Mandal, Prathyusha Senthil Kumar, Amit Jaiswal, Manojkumar Rangasamy Kannadasan
    http://arxiv.org/abs/1905.00052v1

    • [cs.IT]How to Find New Characteristic-Dependent Linear Rank Inequalities using Binary Matrices as a Guide
    Victor Peña, Humberto Sarria
    http://arxiv.org/abs/1905.00003v1

    • [cs.IT]LDPC Coded Multiuser Shaping for the Gaussian Multiple Access Channel
    Alexios Balatsoukas-Stimming, Stefano Rini, Joerg Kliewer
    http://arxiv.org/abs/1905.00405v1

    • [cs.IT]New Infinite Families of Perfect Quaternion Sequences and Williamson Sequences
    Curtis Bright, Ilias Kotsireas, Vijay Ganesh
    http://arxiv.org/abs/1905.00267v1

    • [cs.IT]ON-OFF Privacy with Correlated Requests
    Carolina Naim, Fangwei Ye, Salim El Rouayheb
    http://arxiv.org/abs/1905.00146v1

    • [cs.IT]On the Utility of the Inverse Gamma Distribution in Modeling Composite Fading Channels
    Pablo Ramírez-Espinosa, F. Javier Lopez-Martinez
    http://arxiv.org/abs/1905.00069v1

    • [cs.IT]Source Coding Based mmWave Channel Estimation with Deep Learning Based Decoding
    Yahia Shabara, Eylem Ekici, C. Emre Koksal
    http://arxiv.org/abs/1905.00124v1

    • [cs.IT]Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
    Wu Qingqing, Zhang Rui
    http://arxiv.org/abs/1905.00152v1

    • [cs.IT]Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling
    Ben Adcock, Vegard Antun, Anders C. Hansen
    http://arxiv.org/abs/1905.00126v1

    • [cs.IT]Universal Mutual Information Privacy Guarantees for Smart Meters
    Miguel Arrieta, Iñaki Esnaola, Michelle Effros
    http://arxiv.org/abs/1905.00111v1

    • [cs.IT]Unveiling the Hyper-Rayleigh Regime of the Fluctuating Two-Ray Fading Model
    Celia Garcia-Corrales, Unai Fernandez-Plazaola, Francisco J. Cañete, José F. Paris, F. Javier Lopez-Martinez
    http://arxiv.org/abs/1905.00065v1

    • [cs.LG]AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles
    Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes
    http://arxiv.org/abs/1905.00080v1

    • [cs.LG]Detecting Adversarial Examples through Nonlinear Dimensionality Reduction
    Francesco Crecchi, Davide Bacciu, Battista Biggio
    http://arxiv.org/abs/1904.13094v2

    • [cs.LG]Dropping Pixels for Adversarial Robustness
    Hossein Hosseini, Sreeram Kannan, Radha Poovendran
    http://arxiv.org/abs/1905.00180v1

    • [cs.LG]Dynamic Prediction of Origin-Destination Flows Using Fusion Line Graph Convolutional Networks
    Xi Xiong, Kaan Ozbay, Li Jin, Chen Feng
    http://arxiv.org/abs/1905.00406v1

    • [cs.LG]Fair Classification and Social Welfare
    Lily Hu, Yiling Chen
    http://arxiv.org/abs/1905.00147v1

    • [cs.LG]Fast AutoAugment
    Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
    http://arxiv.org/abs/1905.00397v1

    • [cs.LG]High-Performance Support Vector Machines and Its Applications
    Taiping He, Tao Wang, Ralph Abbey, Joshua Griffin
    http://arxiv.org/abs/1905.00331v1

    • [cs.LG]Information-Theoretic Considerations in Batch Reinforcement Learning
    Jinglin Chen, Nan Jiang
    http://arxiv.org/abs/1905.00360v1

    • [cs.LG]Interpretable multiclass classification by MDL-based rule lists
    Hugo M. Proença, Matthijs van Leeuwen
    http://arxiv.org/abs/1905.00328v1

    • [cs.LG]Introducing Graph Smoothness Loss for Training Deep Learning Architectures
    Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
    http://arxiv.org/abs/1905.00301v1

    • [cs.LG]MixHop: Higher-Order Graph Convolution Architectures via Sparsified Neighborhood Mixing
    Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan
    http://arxiv.org/abs/1905.00067v1

    • [cs.LG]Model Comparison for Semantic Grouping
    Francisco Vargas, Kamen Brestnichki, Nils Hammerla
    http://arxiv.org/abs/1904.13323v2

    • [cs.LG]Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)
    Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan, Bryon Kucharski, Rheeya Uppaal, Akhila Josyula, Madalina Fiterau
    http://arxiv.org/abs/1905.00125v1

    • [cs.LG]On Scalable and Efficient Computation of Large Scale Optimal Transport
    Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha
    http://arxiv.org/abs/1905.00158v1

    • [cs.LG]ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning
    Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang
    http://arxiv.org/abs/1905.00136v1

    • [cs.LG]Similarity of Neural Network Representations Revisited
    Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton
    http://arxiv.org/abs/1905.00414v1

    • [cs.LG]Surface Type Classification for Autonomous Robot Indoor Navigation
    Francesco Lomio, Erjon Skenderi, Damoon Mohamadi, Jussi Collin, Reza Ghabcheloo, Heikki Huttunen
    http://arxiv.org/abs/1905.00252v1

    • [cs.LG]Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer
    Yaroslav Koshka, M. A. Novotny
    http://arxiv.org/abs/1905.00159v1

    • [cs.NI]D2D Multicast in Underlay Cellular Networks with Exclusion Zones
    Ajay Bhardwaj, Samar Agnihotri
    http://arxiv.org/abs/1905.00300v1

    • [cs.RO]3D Grasp Stability Analysis with Coulomb Friction with Hierarchical Convex Relaxations
    Maximilian Haas-Heger, Matei Ciocarlie
    http://arxiv.org/abs/1905.00134v1

    • [cs.RO]A Self-Organizing Network with Varying Density Structure for Characterizing Sensorimotor Transformations in Robotic Systems
    Omar Zahra, David Navarro-Alarcon
    http://arxiv.org/abs/1905.00249v1

    • [cs.RO]Cyber-Physical Testbed for Human-Robot Collaborative Task Planning and Execution
    Tuly Hazbar, Shitij Kumar, Ferat Sahin
    http://arxiv.org/abs/1905.00199v1

    • [cs.RO]Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving
    Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Stefan Roth
    http://arxiv.org/abs/1905.00229v1

    • [cs.SD]Deep Learning for Audio Signal Processing
    Hendrik Purwins, Bo Li, Tuomas Virtanen, Jan Schlüter, Shuo-yiin Chang, Tara Sainath
    http://arxiv.org/abs/1905.00078v1

    • [cs.SI]A Scale-Consistent Approach for Recommender Systems
    Jeffrey Uhlmann
    http://arxiv.org/abs/1905.00055v1

    • [cs.SY]On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks — An Optimal Power Flow Approach
    Alvaro Estandia, Maximilian Schiffer, Federico Rossi, Emre Can Kara, Ram Rajagopal, Marco Pavone
    http://arxiv.org/abs/1905.00200v1

    • [econ.EM]Boosting the Hodrick-Prescott Filter
    Peter C. B. Phillips, Zhentao Shi
    http://arxiv.org/abs/1905.00175v1

    • [eess.IV]Multi-level Encoder-Decoder Architectures for Image Restoration
    Indra Deep Mastan, Shanmuganathan Raman
    http://arxiv.org/abs/1905.00322v1

    • [eess.SP]Enhanced Orthogonal Frequency-Division Multiplexing with Subcarrier Number Modulation
    Shuping Dang, Guoqing Ma, Basem Shihada, Mohamed-Slim Alouini
    http://arxiv.org/abs/1905.00197v1

    • [eess.SP]Optimal Preamble Length for Spectral Efficiency in Grant-Free RA with Massive MIMO
    Jie Ding, Daiming Qu, Hao Jiang
    http://arxiv.org/abs/1905.00005v1

    • [hep-ph]Class Imbalance Techniques for High Energy Physics
    Christopher W. Murphy
    http://arxiv.org/abs/1905.00339v1

    • [q-bio.NC]Gradient-free activation maximization for identifying effective stimuli
    Will Xiao, Gabriel Kreiman
    http://arxiv.org/abs/1905.00378v1

    • [quant-ph]Adaptive Routing for Quantum Memory Failures in the Quantum Internet
    Laszlo Gyongyosi, Sandor Imre
    http://arxiv.org/abs/1905.00254v1

    • [quant-ph]Dense Quantum Measurement Theory
    Laszlo Gyongyosi, Sandor Imre
    http://arxiv.org/abs/1905.00260v1

    • [quant-ph]Entanglement Access Control for the Quantum Internet
    Laszlo Gyongyosi, Sandor Imre
    http://arxiv.org/abs/1905.00256v1

    • [quant-ph]Opportunistic Entanglement Distribution for the Quantum Internet
    Laszlo Gyongyosi, Sandor Imre
    http://arxiv.org/abs/1905.00258v1

    • [stat.AP]Composite local low-rank structure in learning drug sensitivity
    The Tien Mai, Leiv Rønneberg, Zhi Zhao, Manuela Zucknick, Jukka Corander
    http://arxiv.org/abs/1905.00095v1

    • [stat.AP]Developing a large scale population screening tool for the assessment of Parkinson’s disease using telephone-quality voice
    Siddharth Arora, Ladan Baghai-Ravary, Athanasios Tsanas
    http://arxiv.org/abs/1905.00377v1

    • [stat.AP]Prevalence of international migration: an alternative for small area estimation
    Jairo Fuquene, Cesar Cristancho, Mariana Ospina, Domingo Morales
    http://arxiv.org/abs/1905.00353v1

    • [stat.AP]Probabilistic Predictive Principal Component Analysis for Spatially-Misaligned and High-Dimensional Air Pollution Data with Missing Observations
    Phuong T. Vu, Timothy V. Larson, Adam A. Szpiro
    http://arxiv.org/abs/1905.00393v1

    • [stat.ME]A guide to Value of Information methods for prioritising research in health impact modelling
    Rob Johnson, James Woodcock, Audrey de Nazelle, Thiago de Sa, Rahul Goel, Marko Tainio, Christopher Jackson
    http://arxiv.org/abs/1905.00008v1

    • [stat.ME]Asymptotically optimal sequential FDR and pFDR control with (or without) prior information on the number of signals
    Xinrui He, Jay Bartroff
    http://arxiv.org/abs/1905.00177v1

    • [stat.ME]Handling an uncertain control group event risk in non-inferiority trials: non-inferiority frontiers and the power-stabilising transformation
    Matteo Quartagno, A. Sarah Walker, Abdel G. Babiker, Rebecca M. Turner, Mahesh K. B. Parmar, Andrew Copas, Ian R. White
    http://arxiv.org/abs/1905.00241v1

    • [stat.ME]Quantum Generalized Linear Models
    Colleen M. Farrelly, Srikanth Namuduri, Uchenna Chukwu
    http://arxiv.org/abs/1905.00365v1

    • [stat.ME]Scalable GWR: A linear-time algorithm for large-scale geographically weighted regression with polynomial kernels
    Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu
    http://arxiv.org/abs/1905.00266v1

    • [stat.ME]Smooth Density Spatial Quantile Regression
    Halley Brantley, Montserrat Fuentes, Joseph Guinness, Eben Thoma
    http://arxiv.org/abs/1905.00048v1

    • [stat.ML]Active Manifolds: A non-linear analogue to Active Subspaces
    Robert A. Bridges, Anthony D. Gruber, Christopher Felder, Miki Verma, Chelsey Hoff
    http://arxiv.org/abs/1904.13386v2

    • [stat.ML]Ensemble Distribution Distillation
    Andrey Malinin, Bruno Mlodozeniec, Mark Gales
    http://arxiv.org/abs/1905.00076v1

    • [stat.ML]LS-SVR as a Bayesian RBF network
    Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
    http://arxiv.org/abs/1905.00332v1

    • [stat.OT]First digit law from Laplace transform
    Mingshu Cong, Congqiao Li, Bo-Qiang Ma
    http://arxiv.org/abs/1905.00352v1