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