cs.AI - 人工智能
cs.AR - 硬件体系结构 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.DS - 数据结构与算法 cs.GR - 计算机图形学 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.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.ST - 统计理论 physics.ins-det - 仪器和探测器 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]Probability Logic
• [cs.AI]Solving Logic Grid Puzzles with an Algorithm that Imitates Human Behavior
• [cs.AI]The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
• [cs.AR]The Memory Controller Wall: Benchmarking the Intel FPGA SDK for OpenCL Memory Interface
• [cs.CL]Aligning Cross-Lingual Entities with Multi-Aspect Information
• [cs.CL]Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
• [cs.CL]Detecting Machine-Translated Text using Back Translation
• [cs.CL]FacTweet: Profiling Fake News Twitter Accounts
• [cs.CL]Facebook AI’s WAT19 Myanmar-English Translation Task Submission
• [cs.CL]Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
• [cs.CL]Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN
• [cs.CL]Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
• [cs.CL]NumNet: Machine Reading Comprehension with Numerical Reasoning
• [cs.CL]On the Importance of Word Boundaries in Character-level Neural Machine Translation
• [cs.CL]Pruning a BERT-based Question Answering Model
• [cs.CL]Text2Math: End-to-end Parsing Text into Math Expressions
• [cs.CL]Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment
• [cs.CL]Whatcha lookin’ at? DeepLIFTing BERT’s Attention in Question Answering
• [cs.CR]Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection
• [cs.CR]Bridging Information Security and Environmental Criminology Research to Better Mitigate Cybercrime
• [cs.CR]Cascading Machine Learning to Attack Bitcoin Anonymity
• [cs.CR]Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
• [cs.CV]A Compact Neural Architecture for Visual Place Recognition
• [cs.CV]A Method to Generate Synthetically Warped Document Image
• [cs.CV]Background Segmentation for Vehicle Re-Identification
• [cs.CV]Being the center of attention: A Person-Context CNN framework for Personality Recognition
• [cs.CV]Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
• [cs.CV]Building Information Modeling and Classification by Visual Learning At A City Scale
• [cs.CV]Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling
• [cs.CV]DeepGCNs: Making GCNs Go as Deep as CNNs
• [cs.CV]Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
• [cs.CV]End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
• [cs.CV]End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
• [cs.CV]Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
• [cs.CV]FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
• [cs.CV]Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
• [cs.CV]IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector
• [cs.CV]Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019
• [cs.CV]Learning Generalisable Omni-Scale Representations for Person Re-Identification
• [cs.CV]Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
• [cs.CV]Mask-Guided Attention Network for Occluded Pedestrian Detection
• [cs.CV]Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks
• [cs.CV]Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
• [cs.CV]Seeing and Hearing Egocentric Actions: How Much Can We Learn?
• [cs.CV]SegSort: Segmentation by Discriminative Sorting of Segments
• [cs.CV]Stereo-based Multi-motion Visual Odometry for Mobile Robots
• [cs.CV]Target-Oriented Deformation of Visual-Semantic Embedding Space
• [cs.CV]Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee
• [cs.CV]Tiny Video Networks
• [cs.CV]Trajectorylet-Net: a novel framework for pose prediction based on trajectorylet descriptors
• [cs.CY]How to eliminate detour behaviors in E-hailing: On-line detection and Pricing regulation
• [cs.CY]The Scalability, Efficiency and Complexity of Universities and Colleges: A New Lens for Assessing the Higher Educational System
• [cs.DC]An Approach for Realistically Simulating the Performance of Scientific Applications on High Performance Computing Systems
• [cs.DC]BACKUS: Comprehensive High-Performance Research Software Engineering Approach for Simulations in Supercomputing Systems
• [cs.DC]Byzantine-Tolerant Register in a System with Continuous Churn
• [cs.DC]Energy-Efficient Job-Assignment Policy with Asymptotically Guaranteed Performance Deviation
• [cs.DC]Hydra: A Multiple Blockchain Protocol for Improving Transaction Throughput
• [cs.DC]Modern Multicore CPUs are not Energy Proportional: Opportunity for Bi-objective Optimization for Performance and Energy
• [cs.DC]Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
• [cs.DS]FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence
• [cs.DS]Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
• [cs.DS]Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
• [cs.GR]PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
• [cs.IR]An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning
• [cs.IR]Computational Psychology to Embed Emotions into News or Advertisements to Increase Reader Affinity
• [cs.IR]Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
• [cs.IR]The Impact of Popularity Bias on Fairness and Calibration in Recommendation
• [cs.IT]Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver
• [cs.IT]Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots
• [cs.IT]Further study of $2$-to-$1$ mappings over $\mathbb{F}_{2^n}$
• [cs.IT]Joint Sparse Beamforming and Power Control for Large-scale DAS with Network Assistant Full Duplex
• [cs.IT]Non-adaptive Quantitative Group Testing Using Irregular Sparse Graph Codes
• [cs.IT]Numerically stable coded matrix computations via circulant and rotation matrix embeddings
• [cs.IT]On Generalized LDPC Codes for 5G Ultra Reliable Communication
• [cs.IT]Optimal Codes Correcting a Single Indel / Edit for DNA-Based Data Storage
• [cs.IT]Performance of High Mobility MIMO Communications with Doppler Diversity
• [cs.IT]Practical Product Code Construction of Polar Codes
• [cs.IT]Reversible cyclic codes over $\mathbb{F}_q + u \mathbb{F}_q$
• [cs.IT]Some New Classes of Entanglement-assisted Quantum MDS Codes from generalized Reed-Solomon Codes
• [cs.LG]A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme
• [cs.LG]Adaptive Step Sizes in Variance Reduction via Regularization
• [cs.LG]Adaptive template systems: Data-driven feature selection for learning with persistence diagrams
• [cs.LG]Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
• [cs.LG]BoTorch: Programmable Bayesian Optimization in PyTorch
• [cs.LG]Breadth-first, Depth-next Training of Random Forests
• [cs.LG]Compacting, Picking and Growing for Unforgetting Continual Learning
• [cs.LG]Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs
• [cs.LG]DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning
• [cs.LG]Deep learning for Aerosol Forecasting
• [cs.LG]Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation
• [cs.LG]Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
• [cs.LG]Extracting robust and accurate features via a robust information bottleneck
• [cs.LG]Federated Learning for Coalition Operations
• [cs.LG]Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks
• [cs.LG]Generic Bounds on the Maximum Deviations in Sequential Prediction: An Information-Theoretic Analysis
• [cs.LG]Improving Robustness of time series classifier with Neural ODE guided gradient based data augmentation
• [cs.LG]Learning Classifiers on Positive and Unlabeled Data with Policy Gradient
• [cs.LG]Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder
• [cs.LG]MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers
• [cs.LG]Machine Learning for Generalizable Prediction of Flood Susceptibility
• [cs.LG]Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
• [cs.LG]Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
• [cs.LG]Neural tangent kernels, transportation mappings, and universal approximation
• [cs.LG]On Higher-order Moments in Adam
• [cs.LG]Overwrite Quantization: Opportunistic Outlier Handling for Neural Network Accelerators
• [cs.LG]Probabilistic Time of Arrival Localization
• [cs.LG]Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
• [cs.LG]REVE: Regularizing Deep Learning with Variational Entropy Bound
• [cs.LG]Reinforcement learning with spiking coagents
• [cs.LG]Robust Importance Weighting for Covariate Shift
• [cs.LG]SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning
• [cs.LG]SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
• [cs.LG]SafeCritic: Collision-Aware Trajectory Prediction
• [cs.LG]Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
• [cs.LG]Stabilizing Transformers for Reinforcement Learning
• [cs.LG]The Local Elasticity of Neural Networks
• [cs.LG]Thresholding Bandit Problem with Both Duels and Pulls
• [cs.LG]Training CNNs faster with Dynamic Input and Kernel Downsampling
• [cs.LG]Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
• [cs.LG]ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
• [cs.NE]Analyzing symmetry and symmetry breaking by computational aesthetic measures
• [cs.NE]DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
• [cs.NE]Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
• [cs.NE]State of Compact Architecture Search For Deep Neural Networks
• [cs.PF]AI Benchmark: All About Deep Learning on Smartphones in 2019
• [cs.PF]TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs
• [cs.RO]A Feedback Motion Plan for Vehicles with Bounded Curvature Constraints
• [cs.RO]Concurrent Flow-Based Localization and Mapping in Time-Invariant Flow Fields
• [cs.RO]Feedback Motion Plan Verification for Vehicles with Bounded Curvature Constraints
• [cs.RO]Forward Kinematics Kernel for Improved Proxy Collision Checking
• [cs.RO]Learning to Generate 6-DoF Grasp Poses with Reachability Awareness
• [cs.RO]Learning-based Intelligent Attack against Mobile Robots with Obstacle-avoidance
• [cs.RO]Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
• [cs.RO]On the Effects of Collision Avoidance on Emergent Swarm Behavior
• [cs.RO]On the Hardware Feasibility of Nonlinear Trajectory Optimization for Legged Locomotion based on a Simplified Dynamics
• [cs.RO]Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
• [cs.RO]Topological Navigation Graph
• [cs.RO]Trajectory Advancement for Robot Stand-up with Human Assistance
• [cs.SD]Acoustic Scene Classification Based on a Large-margin Factorized CNN
• [cs.SD]VFNet: A Convolutional Architecture for Accent Classification
• [cs.SD]Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning
• [cs.SI]Altering control modes of complex networks based on edge removal
• [cs.SI]Eva: Attribute-Aware Network Segmentation
• [cs.SI]Link Prediction via Graph Attention Network
• [cs.SI]RiWalk: Fast Structural Node Embedding via Role Identification
• [cs.SI]Spatial Data Science: Closing the human-spatial computing-environment loop
• [cs.SI]Understanding population fluctuations through volunteered geographic information and novel indicators: The experience of Rakiura, Stewart Island, New Zealand
• [eess.AS]Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation
• [eess.AS]MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition
• [eess.IV]Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
• [eess.IV]Liver segmentation and metastases detection in MR images using convolutional neural networks
• [eess.SY]Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
• [eess.SY]Identification of Behavioural Models for Railway Turnouts Monitoring
• [eess.SY]Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
• [eess.SY]Sizing of a PV/Battery System Through Stochastic Control and Plant Aggregation
• [math.CO]Perfect Multi Deletion Codes Achieve the Asymptotic Optimality of Code Size
• [math.NA]A stable discontinuous Galerkin method for the perfectly matched layer for elastodynamics in first order form
• [math.NA]Data-Driven Deep Learning of Partial Differential Equations in Modal Space
• [math.ST]3rd-order Spectral Representation Method: Part I — Multi-dimensional random fields with fast Fourier transform implementation
• [math.ST]A greedy anytime algorithm for sparse PCA
• [math.ST]Accuracy of Gaussian approximation in nonparametric Bernstein — von Mises Theorem
• [math.ST]All of Linear Regression
• [math.ST]Bayesian Inverse Problems with Heterogeneous Variance
• [physics.ins-det]Electron Neutrino Energy Reconstruction in NOvA Using CNN Particle IDs
• [physics.soc-ph]Contrarian effects and echo chamber formation in opinion dynamics
• [physics.soc-ph]Networks of monetary flow at native resolution
• [physics.soc-ph]Paradoxical Urban Scaling Across Cities and Over Time
• [stat.AP]New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications
• [stat.AP]Principled estimation of regression discontinuity designs with covariates: a machine learning approach
• [stat.AP]SVRPF: An Improved Particle Filter for a Nonlinear/non-Gaussian Environment
• [stat.AP]Sovereign Risk Indices and Bayesian Theory Averaging
• [stat.AP]The Statistical Performance of Matching-Adjusted Indirect Comparisons
• [stat.AP]The Value of Summary Statistics for Anomaly Detection in Temporally-Evolving Networks: A Performance Evaluation Study
• [stat.ME]A hypothesis testing framework for the ratio of means of two negative binomial distributions: classifying the efficacy of anthelmintic treatment against intestinal parasites
• [stat.ME]Beta Rank Function: A Smooth Double-Pareto-Like Distribution
• [stat.ME]Comment on “Blessings of Multiple Causes”
• [stat.ME]Design- and Model-Based Approaches to Small-Area Estimation in a Low and Middle Income Country Context: Comparisons and Recommendations
• [stat.ME]Generalized Evolutionary Point Processes: Model Specifications and Model Comparison
• [stat.ME]Measurement error as a missing data problem
• [stat.ME]Network Mediation Analysis Using Model-based Eigenvalue Decomposition
• [stat.ME]Optimal Paired Comparison Block Designs
• [stat.ML]A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads
• [stat.ML]Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
• [stat.ML]Bayesian Temporal Factorization for Multidimensional Time Series Prediction
• [stat.ML]Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks
• [stat.ML]Continuous and Discrete-Time Survival Prediction with Neural Networks
• [stat.ML]Counterfactual diagnosis
• [stat.ML]Discriminator optimal transport
• [stat.ML]Improved Generalization Bound of Permutation Invariant Deep Neural Networks
• [stat.ML]Learning Sample-Specific Models with Low-Rank Personalized Regression
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• [cs.AI]Probability Logic
Niki Pfeifer
http://arxiv.org/abs/1910.06624v1
• [cs.AI]Solving Logic Grid Puzzles with an Algorithm that Imitates Human Behavior
Guillaume Escamocher, Barry O’Sullivan
http://arxiv.org/abs/1910.06636v1
• [cs.AI]The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
Amanda Gentzel, Dan Garant, David Jensen
http://arxiv.org/abs/1910.05387v1
• [cs.AR]The Memory Controller Wall: Benchmarking the Intel FPGA SDK for OpenCL Memory Interface
Hamid Reza Zohouri, Satoshi Matsuoka
http://arxiv.org/abs/1910.06726v1
• [cs.CL]Aligning Cross-Lingual Entities with Multi-Aspect Information
Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun
http://arxiv.org/abs/1910.06575v1
• [cs.CL]Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole Beckage, Jonathan D. Cohen
http://arxiv.org/abs/1910.06954v1
• [cs.CL]Detecting Machine-Translated Text using Back Translation
Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto
http://arxiv.org/abs/1910.06558v1
• [cs.CL]FacTweet: Profiling Fake News Twitter Accounts
Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso
http://arxiv.org/abs/1910.06592v1
• [cs.CL]Facebook AI’s WAT19 Myanmar-English Translation Task Submission
Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc’Aurelio Ranzato
http://arxiv.org/abs/1910.06848v1
• [cs.CL]Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
http://arxiv.org/abs/1910.06492v1
• [cs.CL]Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN
Duy Tin Vo, Richard Khoury
http://arxiv.org/abs/1910.06748v1
• [cs.CL]Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
Sourav Dutta
http://arxiv.org/abs/1910.06411v1
• [cs.CL]NumNet: Machine Reading Comprehension with Numerical Reasoning
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu
http://arxiv.org/abs/1910.06701v1
• [cs.CL]On the Importance of Word Boundaries in Character-level Neural Machine Translation
Duygu Ataman, Orhan Firat, Mattia A. Di Gangi, Marcello Federico, Alexandra Birch
http://arxiv.org/abs/1910.06753v1
• [cs.CL]Pruning a BERT-based Question Answering Model
J. S. McCarley
http://arxiv.org/abs/1910.06360v1
• [cs.CL]Text2Math: End-to-end Parsing Text into Math Expressions
Yanyan Zou, Wei Lu
http://arxiv.org/abs/1910.06571v1
• [cs.CL]Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment
Piotr Bojanowski, Onur Celebi, Tomas Mikolov, Edouard Grave, Armand Joulin
http://arxiv.org/abs/1910.06241v2
• [cs.CL]Whatcha lookin’ at? DeepLIFTing BERT’s Attention in Question Answering
Ekaterina Arkhangelskaia, Sourav Dutta
http://arxiv.org/abs/1910.06431v1
• [cs.CR]Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection
Qian Chen, Sheikh Rabiul Islam, Henry Haswell, Robert A. Bridges
http://arxiv.org/abs/1910.06469v1
• [cs.CR]Bridging Information Security and Environmental Criminology Research to Better Mitigate Cybercrime
Colin C. Ife, Toby Davies, Steven J. Murdoch, Gianluca Stringhini
http://arxiv.org/abs/1910.06380v1
• [cs.CR]Cascading Machine Learning to Attack Bitcoin Anonymity
Francesco Zola, Maria Eguimendia, Jan Lukas Bruse, Raul Orduna Urrutia
http://arxiv.org/abs/1910.06560v1
• [cs.CR]Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
Derui, Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang
http://arxiv.org/abs/1910.06838v1
• [cs.CV]A Compact Neural Architecture for Visual Place Recognition
Marvin Chancán, Luis Hernandez-Nunez, Ajay Narendra, Andrew B. Barron, Michael Milford
http://arxiv.org/abs/1910.06840v1
• [cs.CV]A Method to Generate Synthetically Warped Document Image
Arpan Garai, Samit Biswas, Sekhar Mandal, Bidyut. B. Chaudhuri
http://arxiv.org/abs/1910.06621v1
• [cs.CV]Background Segmentation for Vehicle Re-Identification
Mingjie Wu, Yongfei Zhang, Tianyu Zhang, Wenqi Zhang
http://arxiv.org/abs/1910.06613v1
• [cs.CV]Being the center of attention: A Person-Context CNN framework for Personality Recognition
Dario Dotti, Mirela Popa, Stylianos Asteriadis
http://arxiv.org/abs/1910.06690v1
• [cs.CV]Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Joseph Z. Xu, Wenhan Lu, Zebo Li, Pranav Khaitan, Valeriya Zaytseva
http://arxiv.org/abs/1910.06444v1
• [cs.CV]Building Information Modeling and Classification by Visual Learning At A City Scale
Qian Yu, Chaofeng Wang, Barbaros Cetiner, Stella X. Yu, Frank Mckenna, Ertugrul Taciroglu, Kincho H. Law
http://arxiv.org/abs/1910.06391v1
• [cs.CV]Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling
Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
http://arxiv.org/abs/1910.06808v1
• [cs.CV]DeepGCNs: Making GCNs Go as Deep as CNNs
Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem
http://arxiv.org/abs/1910.06849v1
• [cs.CV]Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li
http://arxiv.org/abs/1910.06727v1
• [cs.CV]End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
http://arxiv.org/abs/1910.06474v1
• [cs.CV]End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan
http://arxiv.org/abs/1910.06528v1
• [cs.CV]Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun
http://arxiv.org/abs/1910.06475v1
• [cs.CV]FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
Jigar Doshi, Dominic Garcia, Cliff Massey, Pablo Llueca, Nicolas Borensztein, Michael Baird, Matthew Cook, Devaki Raj
http://arxiv.org/abs/1910.06407v1
• [cs.CV]Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
Ahmed Mazari, Hichem Sahbi
http://arxiv.org/abs/1910.06934v1
• [cs.CV]IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector
Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song Chen
http://arxiv.org/abs/1910.06573v1
• [cs.CV]Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019
Shizhe Chen, Yida Zhao, Yuqing Song, Qin Jin, Qi Wu
http://arxiv.org/abs/1910.06737v1
• [cs.CV]Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou, Xiatian Zhu, Yongxin Yang, Andrea Cavallaro, Tao Xiang
http://arxiv.org/abs/1910.06827v1
• [cs.CV]Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li
http://arxiv.org/abs/1910.06809v1
• [cs.CV]Mask-Guided Attention Network for Occluded Pedestrian Detection
Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao
http://arxiv.org/abs/1910.06160v2
• [cs.CV]Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks
Jasper S. Wijnands, Jason Thompson, Kerry A. Nice, Gideon D. P. A. Aschwanden, Mark Stevenson
http://arxiv.org/abs/1910.06540v1
• [cs.CV]Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
Bairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian
http://arxiv.org/abs/1910.06428v1
• [cs.CV]Seeing and Hearing Egocentric Actions: How Much Can We Learn?
Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli
http://arxiv.org/abs/1910.06693v1
• [cs.CV]SegSort: Segmentation by Discriminative Sorting of Segments
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
http://arxiv.org/abs/1910.06962v1
• [cs.CV]Stereo-based Multi-motion Visual Odometry for Mobile Robots
Qing Zhao, Bin Luo, Yun Zhang
http://arxiv.org/abs/1910.06607v1
• [cs.CV]Target-Oriented Deformation of Visual-Semantic Embedding Space
Takashi Matsubara
http://arxiv.org/abs/1910.06514v1
• [cs.CV]Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee
Shuangjie Xu, Feng Xu, Yu Cheng, Pan Zhou
http://arxiv.org/abs/1910.06426v1
• [cs.CV]Tiny Video Networks
AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo
http://arxiv.org/abs/1910.06961v1
• [cs.CV]Trajectorylet-Net: a novel framework for pose prediction based on trajectorylet descriptors
Xiaoli Liu, Jianqin Yin, Jin Tang, Zhicheng Zhang
http://arxiv.org/abs/1910.06583v1
• [cs.CY]How to eliminate detour behaviors in E-hailing: On-line detection and Pricing regulation
Qiong Tian, Yue Yang, Jiaqi Wen, Fan Ding, Jing He
http://arxiv.org/abs/1910.06949v1
• [cs.CY]The Scalability, Efficiency and Complexity of Universities and Colleges: A New Lens for Assessing the Higher Educational System
Ryan C. Taylor, Xiaofan Liang, Manfred D. Laubichler, Geoffrey B. West, Christopher P. Kempes, Marion Dumas
http://arxiv.org/abs/1910.05470v1
• [cs.DC]An Approach for Realistically Simulating the Performance of Scientific Applications on High Performance Computing Systems
Ali Mohammed, Ahmed Eleliemy, Florina M. Ciorba, Franziska Kasielke, Ioana Banicescu
http://arxiv.org/abs/1910.06844v1
• [cs.DC]BACKUS: Comprehensive High-Performance Research Software Engineering Approach for Simulations in Supercomputing Systems
Matan Rusanovsky, Re’em Harel, Lee-or Alon, Idan Mosseri, Harel Levin, Gal Oren
http://arxiv.org/abs/1910.06415v1
• [cs.DC]Byzantine-Tolerant Register in a System with Continuous Churn
Saptaparni Kumar, Jennifer L. Welch
http://arxiv.org/abs/1910.06716v1
• [cs.DC]Energy-Efficient Job-Assignment Policy with Asymptotically Guaranteed Performance Deviation
Jing Fu, Bill Moran
http://arxiv.org/abs/1910.06567v1
• [cs.DC]Hydra: A Multiple Blockchain Protocol for Improving Transaction Throughput
Rowel Gündlach, Jaap-Henk Hoepman, Remco van der Hofstad, Tommy Koens, Stijn Meijer
http://arxiv.org/abs/1910.06682v1
• [cs.DC]Modern Multicore CPUs are not Energy Proportional: Opportunity for Bi-objective Optimization for Performance and Energy
Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey Lastovetsky
http://arxiv.org/abs/1910.06674v1
• [cs.DC]Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang, Rajiv Ranjan
http://arxiv.org/abs/1910.05433v2
• [cs.DS]FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence
Yongzhe Zhang, Ariful Azad, Zhenjiang Hu
http://arxiv.org/abs/1910.05971v1
• [cs.DS]Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
Yujia Jin, Aaron Sidford
http://arxiv.org/abs/1910.06517v1
• [cs.DS]Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
Nai-Hui Chia, András Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang
http://arxiv.org/abs/1910.06151v1
• [cs.GR]PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
Lin Gao, Ling-Xiao Zhang, Hsien-Yu Meng, Yi-Hui Ren, Yu-Kun Lai, Leif Kobbelt
http://arxiv.org/abs/1910.06511v1
• [cs.IR]An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning
Bushra Ramzan, Imran Sarwar Bajwa, Noreen Jamil, Farhaan Mirza
http://arxiv.org/abs/1910.06669v1
• [cs.IR]Computational Psychology to Embed Emotions into News or Advertisements to Increase Reader Affinity
Hrishikesh Kulkarni, P Joshi, P Chande
http://arxiv.org/abs/1910.06859v1
• [cs.IR]Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
Zeman Shao, Runyu Mao, Fengqing Zhu
http://arxiv.org/abs/1910.05242v2
• [cs.IR]The Impact of Popularity Bias on Fairness and Calibration in Recommendation
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
http://arxiv.org/abs/1910.05755v2
• [cs.IT]Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver
Rodrigo R. M. de Alencar, Lukas T. N. Landau
http://arxiv.org/abs/1910.06465v1
• [cs.IT]Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
http://arxiv.org/abs/1910.06960v1
• [cs.IT]Further study of $2$-to-$1$ mappings over $\mathbb{F}_{2^n}$
Kangquan Li, Sihem Mesnager, Longjiang Qu
http://arxiv.org/abs/1910.06654v1
• [cs.IT]Joint Sparse Beamforming and Power Control for Large-scale DAS with Network Assistant Full Duplex
Xinjiang Xia, Pengcheng Zhu, Jiamin Li, Dongming Wang, Yuanxue Xin, Xiaohu You
http://arxiv.org/abs/1910.06692v1
• [cs.IT]Non-adaptive Quantitative Group Testing Using Irregular Sparse Graph Codes
Esmaeil Karimi, Fatemeh Kazemi, Anoosheh Heidarzadeh, Krishna R. Narayanan, Alex Sprintson
http://arxiv.org/abs/1910.06845v1
• [cs.IT]Numerically stable coded matrix computations via circulant and rotation matrix embeddings
Aditya Ramamoorthy, Li Tang
http://arxiv.org/abs/1910.06515v1
• [cs.IT]On Generalized LDPC Codes for 5G Ultra Reliable Communication
Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
http://arxiv.org/abs/1910.06574v1
• [cs.IT]Optimal Codes Correcting a Single Indel / Edit for DNA-Based Data Storage
Kui Cai, Yeow Meng Chee, Ryan Gabrys, Han Mao Kiah, Tuan Thanh Nguyen
http://arxiv.org/abs/1910.06501v1
• [cs.IT]Performance of High Mobility MIMO Communications with Doppler Diversity
Xiaoyun Hou, Jie Ling, Dongming Wang
http://arxiv.org/abs/1910.06491v1
• [cs.IT]Practical Product Code Construction of Polar Codes
Carlo Condo, Valerio Bioglio, Hartmut Hafermann, Ingmar Land
http://arxiv.org/abs/1910.06803v1
• [cs.IT]Reversible cyclic codes over $\mathbb{F}_q + u \mathbb{F}_q$
Om Prakash, Shikha Patel, Shikha Yadav
http://arxiv.org/abs/1910.06830v1
• [cs.IT]Some New Classes of Entanglement-assisted Quantum MDS Codes from generalized Reed-Solomon Codes
Renjie Jin, Yiran Cao, Yu Jiang, Jinquan Luo
http://arxiv.org/abs/1910.06769v1
• [cs.LG]A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme
Paavo Parmas, Masashi Sugiyama
http://arxiv.org/abs/1910.06419v1
• [cs.LG]Adaptive Step Sizes in Variance Reduction via Regularization
Bingcong Li, Georgios B. Giannakis
http://arxiv.org/abs/1910.06532v1
• [cs.LG]Adaptive template systems: Data-driven feature selection for learning with persistence diagrams
Luis Polanco, Jose A. Perea
http://arxiv.org/abs/1910.06741v1
• [cs.LG]Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
Lars Buesing, Nicolas Heess, Theophane Weber
http://arxiv.org/abs/1910.06862v1
• [cs.LG]BoTorch: Programmable Bayesian Optimization in PyTorch
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
http://arxiv.org/abs/1910.06403v1
• [cs.LG]Breadth-first, Depth-next Training of Random Forests
Andreea Anghel, Nikolas Ioannou, Thomas Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis
http://arxiv.org/abs/1910.06853v1
• [cs.LG]Compacting, Picking and Growing for Unforgetting Continual Learning
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming, Chan, Chu-Song Chen
http://arxiv.org/abs/1910.06562v1
• [cs.LG]Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs
Alexia Jolicoeur-Martineau, Ioannis Mitliagkas
http://arxiv.org/abs/1910.06922v1
• [cs.LG]DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning
Frederik Harder, Jonas Köhler, Max Welling, Mijung Park
http://arxiv.org/abs/1910.06924v1
• [cs.LG]Deep learning for Aerosol Forecasting
Caleb Hoyne, S. Karthik Mukkavilli, David Meger
http://arxiv.org/abs/1910.06789v1
• [cs.LG]Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation
Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang
http://arxiv.org/abs/1910.06792v1
• [cs.LG]Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao
http://arxiv.org/abs/1910.06611v1
• [cs.LG]Extracting robust and accurate features via a robust information bottleneck
Ankit Pensia, Varun Jog, Po-Ling Loh
http://arxiv.org/abs/1910.06893v1
• [cs.LG]Federated Learning for Coalition Operations
D. Verma, S. Calo, S. Witherspoon, E. Bertino, A. Abu Jabal, A. Swami, G. Cirincione, S. Julier, G. White, G. de Mel, G. Pearson
http://arxiv.org/abs/1910.06799v1
• [cs.LG]Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks
Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez
http://arxiv.org/abs/1910.06750v1
• [cs.LG]Generic Bounds on the Maximum Deviations in Sequential Prediction: An Information-Theoretic Analysis
Song Fang, Quanyan Zhu
http://arxiv.org/abs/1910.06742v1
• [cs.LG]Improving Robustness of time series classifier with Neural ODE guided gradient based data augmentation
Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar
http://arxiv.org/abs/1910.06813v1
• [cs.LG]Learning Classifiers on Positive and Unlabeled Data with Policy Gradient
Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Bjorn Stenger, Yu Hirate
http://arxiv.org/abs/1910.06535v1
• [cs.LG]Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder
Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S C Lim, Alejandro Luebs, Oriol Vinyals, Thomas C Walters
http://arxiv.org/abs/1910.06464v1
• [cs.LG]MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy McIntosh
http://arxiv.org/abs/1910.06588v1
• [cs.LG]Machine Learning for Generalizable Prediction of Flood Susceptibility
Chelsea Sidrane, Dylan J Fitzpatrick, Andrew Annex, Diane O’Donoghue, Yarin Gal, Piotr Biliński
http://arxiv.org/abs/1910.06521v1
• [cs.LG]Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
http://arxiv.org/abs/1910.06456v1
• [cs.LG]Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
YoungJoon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo
http://arxiv.org/abs/1910.06705v1
• [cs.LG]Neural tangent kernels, transportation mappings, and universal approximation
Ziwei Ji, Matus Telgarsky, Ruicheng Xian
http://arxiv.org/abs/1910.06956v1
• [cs.LG]On Higher-order Moments in Adam
Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M Lee, Chinmay Hegde, Soumik Sarkar
http://arxiv.org/abs/1910.06878v1
• [cs.LG]Overwrite Quantization: Opportunistic Outlier Handling for Neural Network Accelerators
Ritchie Zhao, Christopher De Sa, Zhiru Zhang
http://arxiv.org/abs/1910.06909v1
• [cs.LG]Probabilistic Time of Arrival Localization
Fernando Perez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
http://arxiv.org/abs/1910.06569v1
• [cs.LG]Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
Xujiang Zhao, Yuzhe Ou, Lance Kaplan, Feng Chen, Jin-Hee Cho
http://arxiv.org/abs/1910.06864v1
• [cs.LG]REVE: Regularizing Deep Learning with Variational Entropy Bound
Antoine Saporta, Yifu Chen, Michael Blot, Matthieu Cord
http://arxiv.org/abs/1910.06816v1
• [cs.LG]Reinforcement learning with spiking coagents
Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
http://arxiv.org/abs/1910.06489v1
• [cs.LG]Robust Importance Weighting for Covariate Shift
Henry Lam, Fengpei Li, Siddharth Prusty
http://arxiv.org/abs/1910.06324v1
• [cs.LG]SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning
Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh
http://arxiv.org/abs/1910.06378v1
• [cs.LG]SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski
http://arxiv.org/abs/1910.06591v1
• [cs.LG]SafeCritic: Collision-Aware Trajectory Prediction
Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss, Efstratios Gavves
http://arxiv.org/abs/1910.06673v1
• [cs.LG]Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles
http://arxiv.org/abs/1910.06509v1
• [cs.LG]Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell
http://arxiv.org/abs/1910.06764v1
• [cs.LG]The Local Elasticity of Neural Networks
Hangfeng He, Weijie J. Su
http://arxiv.org/abs/1910.06943v1
• [cs.LG]Thresholding Bandit Problem with Both Duels and Pulls
Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
http://arxiv.org/abs/1910.06368v1
• [cs.LG]Training CNNs faster with Dynamic Input and Kernel Downsampling
Zissis Poulos, Ali Nouri, Andreas Moshovos
http://arxiv.org/abs/1910.06548v1
• [cs.LG]Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
Yao Liu, Pierre-Luc Bacon, Emma Brunskill
http://arxiv.org/abs/1910.06508v1
• [cs.LG]ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox
http://arxiv.org/abs/1910.06513v1
• [cs.NE]Analyzing symmetry and symmetry breaking by computational aesthetic measures
Hendrik Richter
http://arxiv.org/abs/1910.06610v1
• [cs.NE]DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
http://arxiv.org/abs/1910.06500v1
• [cs.NE]Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
Filip Badan, Lukas Sekanina
http://arxiv.org/abs/1910.06854v1
• [cs.NE]State of Compact Architecture Search For Deep Neural Networks
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong
http://arxiv.org/abs/1910.06466v1
• [cs.PF]AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool
http://arxiv.org/abs/1910.06663v1
• [cs.PF]TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs
Ali Mirzaeian, Houman Homayoun, Avesta Sasan
http://arxiv.org/abs/1910.06458v1
• [cs.RO]A Feedback Motion Plan for Vehicles with Bounded Curvature Constraints
Giovanni Miraglia, Loyd Hook IV
http://arxiv.org/abs/1910.06460v1
• [cs.RO]Concurrent Flow-Based Localization and Mapping in Time-Invariant Flow Fields
Zhuoyuan Song, Kamran Mohseni
http://arxiv.org/abs/1910.06530v1
• [cs.RO]Feedback Motion Plan Verification for Vehicles with Bounded Curvature Constraints
Giovanni Miraglia, Loyd Hook IV
http://arxiv.org/abs/1910.06797v1
• [cs.RO]Forward Kinematics Kernel for Improved Proxy Collision Checking
Nikhil Das, Michael C. Yip
http://arxiv.org/abs/1910.06451v1
• [cs.RO]Learning to Generate 6-DoF Grasp Poses with Reachability Awareness
Xibai Lou, Yang Yang, Changhyun Choi
http://arxiv.org/abs/1910.06404v1
• [cs.RO]Learning-based Intelligent Attack against Mobile Robots with Obstacle-avoidance
Yushan Li, Jianping He, Cailian Chen, Xinping Guan
http://arxiv.org/abs/1910.06461v1
• [cs.RO]Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
Eunah Jung, Nan Yang, Daniel Cremers
http://arxiv.org/abs/1910.06632v1
• [cs.RO]On the Effects of Collision Avoidance on Emergent Swarm Behavior
Chris Taylor, Colin Luzzi, Cameron Nowzari
http://arxiv.org/abs/1910.06412v1
• [cs.RO]On the Hardware Feasibility of Nonlinear Trajectory Optimization for Legged Locomotion based on a Simplified Dynamics
Angelo Bratta, Romeo Orsolino, Michele Focchi, Victor Barasuol, Giovanni Gerardo Muscolo, Claudio Semini
http://arxiv.org/abs/1910.06855v1
• [cs.RO]Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
Haonan Peng, Xingjian Yang, Yun-Hsuan Su, Blake Hannaford
http://arxiv.org/abs/1910.06425v1
• [cs.RO]Topological Navigation Graph
Povilas Daniusis, Shubham Juneja, Lukas Valatka, Linas Petkevicius
http://arxiv.org/abs/1910.06658v1
• [cs.RO]Trajectory Advancement for Robot Stand-up with Human Assistance
Yeshasvi Tirupachuri, Gabriele Nava, Lorenzo Rapetti, Claudia Latella, Daniele Pucci
http://arxiv.org/abs/1910.06786v1
• [cs.SD]Acoustic Scene Classification Based on a Large-margin Factorized CNN
Janghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang
http://arxiv.org/abs/1910.06784v1
• [cs.SD]VFNet: A Convolutional Architecture for Accent Classification
Asad Ahmed, Pratham Tangri, Anirban Panda, Dhruv Ramani, Samarjit Karmakar
http://arxiv.org/abs/1910.06697v1
• [cs.SD]Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning
Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang
http://arxiv.org/abs/1910.06790v1
• [cs.SI]Altering control modes of complex networks based on edge removal
Xizhe Zhang, Qian Li
http://arxiv.org/abs/1910.06052v1
• [cs.SI]Eva: Attribute-Aware Network Segmentation
Salvatore Citraro, Giulio Rossetti
http://arxiv.org/abs/1910.06599v1
• [cs.SI]Link Prediction via Graph Attention Network
Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang
http://arxiv.org/abs/1910.04807v2
• [cs.SI]RiWalk: Fast Structural Node Embedding via Role Identification
Xuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, Zhe Wang
http://arxiv.org/abs/1910.06541v1
• [cs.SI]Spatial Data Science: Closing the human-spatial computing-environment loop
Benjamin Adams
http://arxiv.org/abs/1910.06484v1
• [cs.SI]Understanding population fluctuations through volunteered geographic information and novel indicators: The experience of Rakiura, Stewart Island, New Zealand
Mathew Darling, Benjamin Adams, Caroline Orchiston, Thomas Wilson, Brendon Bradley
http://arxiv.org/abs/1910.06493v1
• [eess.AS]Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation
Yi Luo, Zhuo Chen, Takuya Yoshioka
http://arxiv.org/abs/1910.06379v1
• [eess.AS]MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition
Xuankai Chang, Wangyou Zhang, Yanmin Qian, Jonathan Le Roux, Shinji Watanabe
http://arxiv.org/abs/1910.06522v1
• [eess.IV]Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
http://arxiv.org/abs/1910.06950v1
• [eess.IV]Liver segmentation and metastases detection in MR images using convolutional neural networks
Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim
http://arxiv.org/abs/1910.06635v1
• [eess.SY]Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
Udesh Gunarathna, Hairuo Xie, Egemen Tanin, Shanika Karunasekara, Renata Borovica-Gajic
http://arxiv.org/abs/1910.06788v1
• [eess.SY]Identification of Behavioural Models for Railway Turnouts Monitoring
Pegah Barkhordari, Roberto Galeazzi, Alejandro de Miguel Tejada, Ilmar F. Santos
http://arxiv.org/abs/1910.06582v1
• [eess.SY]Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein, Gil Zussman
http://arxiv.org/abs/1910.06401v1
• [eess.SY]Sizing of a PV/Battery System Through Stochastic Control and Plant Aggregation
Thomas Carriere, Christophe Vernay, Sebastien Pitaval, Franccois-Pascal Neirac, George Kariniotakis
http://arxiv.org/abs/1910.06828v1
• [math.CO]Perfect Multi Deletion Codes Achieve the Asymptotic Optimality of Code Size
Takehiko Mori, Manabu Hagiwara
http://arxiv.org/abs/1910.06740v1
• [math.NA]A stable discontinuous Galerkin method for the perfectly matched layer for elastodynamics in first order form
Kenneth Duru, Leonhard Rannabauer, Alice-Agnes Gabriel, Gunilla Kreiss
http://arxiv.org/abs/1910.06477v1
• [math.NA]Data-Driven Deep Learning of Partial Differential Equations in Modal Space
Kailiang Wu, Dongbin Xiu
http://arxiv.org/abs/1910.06948v1
• [math.ST]3rd-order Spectral Representation Method: Part I — Multi-dimensional random fields with fast Fourier transform implementation
Lohit Vandanapu, Michael D. Shields
http://arxiv.org/abs/1910.06420v1
• [math.ST]A greedy anytime algorithm for sparse PCA
Guy Holtzman, Adam Soffer, Dan Vilenchik
http://arxiv.org/abs/1910.06846v1
• [math.ST]Accuracy of Gaussian approximation in nonparametric Bernstein — von Mises Theorem
Vladimir Spokoiny, Maxim Panov
http://arxiv.org/abs/1910.06028v2
• [math.ST]All of Linear Regression
Arun K. Kuchibhotla, Lawrence D. Brown, Andreas Buja, Junhui Cai
http://arxiv.org/abs/1910.06386v1
• [math.ST]Bayesian Inverse Problems with Heterogeneous Variance
Natalia Bochkina, Jenovah Rodrigues
http://arxiv.org/abs/1910.06914v1
• [physics.ins-det]Electron Neutrino Energy Reconstruction in NOvA Using CNN Particle IDs
Shiqi Yu
http://arxiv.org/abs/1910.06953v1
• [physics.soc-ph]Contrarian effects and echo chamber formation in opinion dynamics
Henrique Ferraz de Arruda, Alexandre Benatti, Filipi Nascimento Silva, Cesar Henrique Comin, Luciano da Fontoura Costa
http://arxiv.org/abs/1910.06487v1
• [physics.soc-ph]Networks of monetary flow at native resolution
Carolina Mattsson
http://arxiv.org/abs/1910.05596v1
• [physics.soc-ph]Paradoxical Urban Scaling Across Cities and Over Time
Gang Xu, Zhengzi Zhou, Limin Jiao, Ruiqi Li
http://arxiv.org/abs/1910.06732v1
• [stat.AP]New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications
Guanyu Hu, Fred Huffer, Ming-Hui Chen
http://arxiv.org/abs/1910.06870v1
• [stat.AP]Principled estimation of regression discontinuity designs with covariates: a machine learning approach
Jason Anastasopoulos
http://arxiv.org/abs/1910.06381v1
• [stat.AP]SVRPF: An Improved Particle Filter for a Nonlinear/non-Gaussian Environment
Xingzi Qiang, Yanbo Zhu, Rui Xue
http://arxiv.org/abs/1910.06503v1
• [stat.AP]Sovereign Risk Indices and Bayesian Theory Averaging
Alex Lenkoski, Fredrik Lohne Aanes
http://arxiv.org/abs/1910.06596v1
• [stat.AP]The Statistical Performance of Matching-Adjusted Indirect Comparisons
David Cheng, Rajeev Ayyagari, James Signorovitch
http://arxiv.org/abs/1910.06449v1
• [stat.AP]The Value of Summary Statistics for Anomaly Detection in Temporally-Evolving Networks: A Performance Evaluation Study
Lata Kodali, Srijan Sengupta, Leanna House, William H. Woodall
http://arxiv.org/abs/1910.06497v1
• [stat.ME]A hypothesis testing framework for the ratio of means of two negative binomial distributions: classifying the efficacy of anthelmintic treatment against intestinal parasites
Matthew Denwood, Giles Innocent, Jamie Prentice, Louise Matthews, Stuart Reid, Christian Pipper, Bruno Levecke, Ray Kaplan, Andrew Kotze, Jennifer Keiser, Marta Palmeirim, Iain McKendrick
http://arxiv.org/abs/1910.06667v1
• [stat.ME]Beta Rank Function: A Smooth Double-Pareto-Like Distribution
Oscar Fontanelli, Pedro Miramontes, Ricardo Mansilla, Germinal Cocho, Wentian Li
http://arxiv.org/abs/1910.05364v1
• [stat.ME]Comment on “Blessings of Multiple Causes”
Elizabeth L. Ogburn, Ilya Shpitser, Eric J. Tchetgen Tchetgen
http://arxiv.org/abs/1910.05438v2
• [stat.ME]Design- and Model-Based Approaches to Small-Area Estimation in a Low and Middle Income Country Context: Comparisons and Recommendations
John Paige, Geir-Arne Fuglstad, Andrea Riebler, Jon Wakefield
http://arxiv.org/abs/1910.06512v1
• [stat.ME]Generalized Evolutionary Point Processes: Model Specifications and Model Comparison
Philip A. White, Alan E. Gelfand
http://arxiv.org/abs/1910.06897v1
• [stat.ME]Measurement error as a missing data problem
Ruth H. Keogh, Jonathan W. Bartlett
http://arxiv.org/abs/1910.06443v1
• [stat.ME]Network Mediation Analysis Using Model-based Eigenvalue Decomposition
Chang Che, Ick Hoon Jin, Zhiyong Zhang
http://arxiv.org/abs/1910.06538v1
• [stat.ME]Optimal Paired Comparison Block Designs
Eric Nyarko
http://arxiv.org/abs/1910.06390v1
• [stat.ML]A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads
Andrés M. Alonso, F. Javier Nogales, Carlos Ruiz
http://arxiv.org/abs/1910.06640v1
• [stat.ML]Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Ilya Feige, Colin Rowat
http://arxiv.org/abs/1910.06358v1
• [stat.ML]Bayesian Temporal Factorization for Multidimensional Time Series Prediction
Lijun Sun, Xinyu Chen
http://arxiv.org/abs/1910.06366v1
• [stat.ML]Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks
Theodore Papamarkou, Jacob Hinkle, M. Todd Young, David Womble
http://arxiv.org/abs/1910.06539v1
• [stat.ML]Continuous and Discrete-Time Survival Prediction with Neural Networks
Håvard Kvamme, Ørnulf Borgan
http://arxiv.org/abs/1910.06724v1
• [stat.ML]Counterfactual diagnosis
Jonathan G. Richens, Ciaran M. Lee, Saurabh Johri
http://arxiv.org/abs/1910.06772v1
• [stat.ML]Discriminator optimal transport
Akinori Tanaka
http://arxiv.org/abs/1910.06832v1
• [stat.ML]Improved Generalization Bound of Permutation Invariant Deep Neural Networks
Akiyoshi Sannai, Masaaki Imaizumi
http://arxiv.org/abs/1910.06552v1
• [stat.ML]Learning Sample-Specific Models with Low-Rank Personalized Regression
Benjamin Lengerich, Bryon Aragam, Eric P. Xing
http://arxiv.org/abs/1910.06939v1