cond-mat.dis-nn - 无序系统与神经网络

    cond-mat.soft - 软凝聚物质 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.NE - 神经与进化计算 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 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nucl-th - 核理论 physics.geo-ph - 地球物理学 physics.optics - 光学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]The spectral dimension of simplicial complexes: a renormalization group theory
    • [cond-mat.soft]Analytical classical density functionals from an equation learning network
    • [cs.AI]A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
    • [cs.AI]D-Point Trigonometric Path Planning based on Q-Learning in Uncertain Environments
    • [cs.AI]Long-term Joint Scheduling for Urban Traffic
    • [cs.AI]On the Efficiency of the Neuro-Fuzzy Classifier for User Knowledge Modeling Systems
    • [cs.CL]A Comparison of Neural Network Training Methods for Text Classification
    • [cs.CL]Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis
    • [cs.CL]Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
    • [cs.CL]Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels
    • [cs.CL]Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
    • [cs.CL]Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments
    • [cs.CL]Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
    • [cs.CL]Evaluating Lottery Tickets Under Distributional Shifts
    • [cs.CL]Evaluating the Factual Consistency of Abstractive Text Summarization
    • [cs.CL]Exploring Author Context for Detecting Intended vs Perceived Sarcasm
    • [cs.CL]Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
    • [cs.CL]FineText: Text Classification via Attention-based Language Model Fine-tuning
    • [cs.CL]Induced Inflection-Set Keyword Search in Speech
    • [cs.CL]Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy
    • [cs.CL]Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
    • [cs.CL]Look-up and Adapt: A One-shot Semantic Parser
    • [cs.CL]Memeify: A Large-Scale Meme Generation System
    • [cs.CL]Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding
    • [cs.CL]Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base
    • [cs.CL]Multitask Learning For Different Subword Segmentations In Neural Machine Translation
    • [cs.CL]Open the Boxes of Words: Incorporating Sememes into Textual Adversarial Attack
    • [cs.CL]RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search
    • [cs.CL]Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding
    • [cs.CL]SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
    • [cs.CL]Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
    • [cs.CL]Thieves on Sesame Street! Model Extraction of BERT-based APIs
    • [cs.CL]Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
    • [cs.CL]Training ASR models by Generation of Contextual Information
    • [cs.CL]ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
    • [cs.CL]What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
    • [cs.CL]Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
    • [cs.CR]An investigation of MMM Ponzi scheme on Bitcoin
    • [cs.CR]Protecting Personal Data using Smart Contracts
    • [cs.CR]Secure Evaluation of Quantized Neural Networks
    • [cs.CR]User Data Sharing Frameworks: A Blockchain-Based Incentive Solution
    • [cs.CV]A Preliminary Study on Optimal Placement of Cameras
    • [cs.CV]AbsPoseLifter: Absolute 3D Human Pose Lifting Network from a Single Noisy 2D Human Pose
    • [cs.CV]Addressing the Sim2Real Gap in Robotic 3D Object Classification
    • [cs.CV]Adversarial Defense Via Local Flatness Regularization
    • [cs.CV]Applications of Generative Adversarial Models in Visual Search Reformulation
    • [cs.CV]Deep Learning Models for Digital Pathology
    • [cs.CV]Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network
    • [cs.CV]Diverse Video Captioning Through Latent Variable Expansion with Conditional GAN
    • [cs.CV]ETNet: Error Transition Network for Arbitrary Style Transfer
    • [cs.CV]Exploring 3 R’s of Long-term Tracking: Re-detection, Recovery and Reliability
    • [cs.CV]FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos
    • [cs.CV]Few-shot Video-to-Video Synthesis
    • [cs.CV]Fine-Grained Object Detection over Scientific Document Images with Region Embeddings
    • [cs.CV]Fine-Grained Visual Recognition with Batch Confusion Norm
    • [cs.CV]FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
    • [cs.CV]HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
    • [cs.CV]Hierarchical Clustering-guided re-ID with Triplet loss
    • [cs.CV]Human Keypoint Detection by Progressive Context Refinement
    • [cs.CV]Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
    • [cs.CV]Learning Disentangled Representation for Robust Person Re-identification
    • [cs.CV]Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019
    • [cs.CV]Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships
    • [cs.CV]MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
    • [cs.CV]MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
    • [cs.CV]Multi-Resolution Overlapping Stripes Network for Person Re-Identification
    • [cs.CV]Multi-source Domain Adaptation for Semantic Segmentation
    • [cs.CV]Novel Co-variant Feature Point Matching Based on Gaussian Mixture Model
    • [cs.CV]Prediction stability as a criterion in active learning
    • [cs.CV]Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
    • [cs.CV]Region Mutual Information Loss for Semantic Segmentation
    • [cs.CV]SENSE: a Shared Encoder Network for Scene-flow Estimation
    • [cs.CV]Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net
    • [cs.CV]Self-supervised learning of class embeddings from video
    • [cs.CV]Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking
    • [cs.CV]Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation
    • [cs.CV]Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
    • [cs.CV]The Quo Vadis submission at Traffic4cast 2019
    • [cs.CV]Use of a Capsule Network to Detect Fake Images and Videos
    • [cs.CV]Virtual Piano using Computer Vision
    • [cs.CV]Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation
    • [cs.CY]A Triangulated Model to Assess Adoption of Virtual Learning Environements in Primary Schools
    • [cs.CY]AI Ethics in Industry: A Research Framework
    • [cs.CY]Fostering Peer Learning through a New Game-Theoretical Approach in a Blended Learning Environment
    • [cs.CY]Learning Fair and Interpretable Representations via Linear Orthogonalization
    • [cs.DC]Annual Interruption Rate as a KPI, its measurement and comparison
    • [cs.DC]Introduction to local certification
    • [cs.DC]Massively Parallel Algorithms for String Matching with Wildcards
    • [cs.DC]Semi-Asymmetric Parallel Graph Algorithms for NVRAMs
    • [cs.DS]Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs
    • [cs.GT]Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
    • [cs.HC]Human-AI Co-Learning for Data-Driven AI
    • [cs.HC]Information Seeking and Information Processing Behaviors Among Type 2 Diabetics
    • [cs.IR]A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations
    • [cs.IR]Empirical Analysis of Session-Based Recommendation Algorithms
    • [cs.IR]Online News Media Website Ranking Using User Generated Content
    • [cs.IR]The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance
    • [cs.IR]The Performance Envelope of Inverted Indexing on Modern Hardware
    • [cs.IT]A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver
    • [cs.IT]A class of functions with low-valued Walsh spectrum
    • [cs.IT]Deep Joint Source-Channel Coding for Wireless Image Retrieval
    • [cs.IT]Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis
    • [cs.IT]Full-Duplex Enabled Mobile Edge Caching: From Distributed to Cooperative Caching
    • [cs.IT]Greedy Sparse Signal Recovery Algorithm Based on Bit-wise MAP detection
    • [cs.IT]LCD Matrix-Product Codes over Commutative Rings
    • [cs.IT]Latency and timeliness in multi-hop satellite networks
    • [cs.IT]Massive Access for Future Wireless Communication Systems
    • [cs.IT]New quaternary codes derived from posets of the disjoint union of two chains
    • [cs.IT]On the Storage Cost of Private Information Retrieval
    • [cs.IT]Optimal $k$-Deletion Correcting Codes
    • [cs.IT]Secret Key Generation via Pulse-Coupled Synchronization
    • [cs.IT]Small Memory Robust Simulation of Client-Server Interactive Protocols over Oblivious Noisy Channels
    • [cs.IT]Spatially Coupled LDPC Codes with Sub-Block Locality
    • [cs.IT]Stochastic Geometry Analysis of Hybrid Aerial Terrestrial Networks with mmWave Backhauling
    • [cs.IT]Zero-Error Capacity of Multiple Access Channels via Nonstochastic Information
    • [cs.LG]A Game Theoretic Approach to Class-wise Selective Rationalization
    • [cs.LG]A geometric interpretation of stochastic gradient descent using diffusion metrics
    • [cs.LG]Adaptive Loss Scaling for Mixed Precision Training
    • [cs.LG]Adaptive Sampling for Stochastic Risk-Averse Learning
    • [cs.LG]An Active Approach for Model Interpretation
    • [cs.LG]An Adaptive and Momental Bound Method for Stochastic Learning
    • [cs.LG]An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection
    • [cs.LG]Asynchronous Methods for Model-Based Reinforcement Learning
    • [cs.LG]Attention for Inference Compilation
    • [cs.LG]Attenuating Random Noise in Seismic Data by a Deep Learning Approach
    • [cs.LG]BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
    • [cs.LG]Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
    • [cs.LG]Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
    • [cs.LG]CXPlain: Causal Explanations for Model Interpretation under Uncertainty
    • [cs.LG]Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS
    • [cs.LG]Compressed Sensing with Probability-based Prior Information
    • [cs.LG]Consistency Regularization for Generative Adversarial Networks
    • [cs.LG]Convergent Policy Optimization for Safe Reinforcement Learning
    • [cs.LG]Cross-Channel Intragroup Sparsity Neural Network
    • [cs.LG]Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
    • [cs.LG]Deep Probabilistic Surrogate Networks for Universal Simulator Approximation
    • [cs.LG]Deep causal representation learning for unsupervised domain adaptation
    • [cs.LG]Deep convolutional autoencoder for cryptocurrency market analysis
    • [cs.LG]Detection of Adversarial Attacks and Characterization of Adversarial Subspace
    • [cs.LG]Differentiable Convex Optimization Layers
    • [cs.LG]Differentially Private Distributed Data Summarization under Covariate Shift
    • [cs.LG]Distributed Estimation via Network Regularization
    • [cs.LG]EdgeFool: An Adversarial Image Enhancement Filter
    • [cs.LG]Empirical Differential Privacy
    • [cs.LG]Entity Abstraction in Visual Model-Based Reinforcement Learning
    • [cs.LG]FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
    • [cs.LG]Fair Generative Modeling via Weak Supervision
    • [cs.LG]Fast classification rates without standard margin assumptions
    • [cs.LG]Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
    • [cs.LG]Generative Well-intentioned Networks
    • [cs.LG]Growing axons: greedy learning of neural networks with application to function approximation
    • [cs.LG]HIDRA: Head Initialization across Dynamic targets for Robust Architectures
    • [cs.LG]Implicit Posterior Variational Inference for Deep Gaussian Processes
    • [cs.LG]Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
    • [cs.LG]Improving Graph Attention Networks with Large Margin-based Constraints
    • [cs.LG]Inherent Weight Normalization in Stochastic Neural Networks
    • [cs.LG]Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
    • [cs.LG]Kernel Stein Tests for Multiple Model Comparison
    • [cs.LG]L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
    • [cs.LG]Landmark Ordinal Embedding
    • [cs.LG]Layer Pruning for Accelerating Very Deep Neural Networks
    • [cs.LG]Learning Data Manipulation for Augmentation and Weighting
    • [cs.LG]Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
    • [cs.LG]Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
    • [cs.LG]Minimax Weight and Q-Function Learning for Off-Policy Evaluation
    • [cs.LG]Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
    • [cs.LG]Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency
    • [cs.LG]Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
    • [cs.LG]Neural Network Distiller: A Python Package For DNN Compression Research
    • [cs.LG]On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
    • [cs.LG]Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
    • [cs.LG]PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views
    • [cs.LG]PRNet: Self-Supervised Learning for Partial-to-Partial Registration
    • [cs.LG]PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems
    • [cs.LG]PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance
    • [cs.LG]PopSGD: Decentralized Stochastic Gradient Descent in the Population Model
    • [cs.LG]Pre-train and Learn: Preserve Global Information for Graph Neural Networks
    • [cs.LG]Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
    • [cs.LG]SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
    • [cs.LG]Same-Cluster Querying for Overlapping Clusters
    • [cs.LG]Semi-Implicit Stochastic Recurrent Neural Networks
    • [cs.LG]Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem
    • [cs.LG]Spectral Algorithm for Low-rank Multitask Regression
    • [cs.LG]Tensor Q-Rank: A New Data Dependent Tensor Rank
    • [cs.LG]The Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes
    • [cs.LG]TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
    • [cs.LG]Understanding Isomorphism Bias in Graph Data Sets
    • [cs.LG]Variable Selection with Copula Entropy
    • [cs.LG]Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework
    • [cs.LG]ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
    • [cs.LO]Simplifying Neural Networks with the Marabou Verification Engine
    • [cs.MM]Automatic Reminiscence Therapy for Dementia
    • [cs.NE]CTNN: Corticothalamic-inspired neural network
    • [cs.NE]Computational design of organic solar cell active layer through genetic algorithm
    • [cs.NE]Making Predictive Coding Networks Generative
    • [cs.NE]Swarm Behaviour Evolution via Rule Sharing and Novelty Search
    • [cs.NE]Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
    • [cs.NI]Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMs
    • [cs.RO]Analysis on Advancement of Hybrid Fuzzy Sliding Mode Controllers for Nonlinear Systems
    • [cs.RO]Driving Datasets Literature Review
    • [cs.RO]KETO: Learning Keypoint Representations for Tool Manipulation
    • [cs.RO]Low-Cost GPS-Aided LiDAR State Estimation and Map Building
    • [cs.RO]Performance Analysis of PID, PD and Fuzzy Controllers for Position Control of 3-Dof Robot Manipulator
    • [cs.RO]Real-Time, Environmentally-Robust 3D LiDAR Localization
    • [cs.RO]Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control
    • [cs.RO]Robots as Actors in a Film: No War, A Robot Story
    • [cs.RO]Robust GNSS Denied Localization for UAV Using Particle Filter and Visual Odometry
    • [cs.RO]Task-Informed Fidelity Management for Speeding Up Robotics Simulation
    • [cs.SD]A holistic approach to polyphonic music transcription with neural networks
    • [cs.SD]Accurate and Scalable Version Identification Using Musically-Motivated Embeddings
    • [cs.SD]Interrupted and cascaded permutation invariant training for speech separation
    • [cs.SD]Meta Learning for End-to-End Low-Resource Speech Recognition
    • [cs.SD]Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers
    • [cs.SD]Sound Event Recognition in a Smart City Surveillance Context
    • [cs.SD]Unsupervised pre-traing for sequence to sequence speech recognition
    • [cs.SI]A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
    • [cs.SI]A framework for second order eigenvector centralities and clustering coefficients
    • [cs.SI]CONNA: Addressing Name Disambiguation on The Fly
    • [cs.SI]Maximizing Contrasting Opinions in Signed Social Networks
    • [cs.SI]Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets
    • [econ.EM]Testing Forecast Rationality for Measures of Central Tendency
    • [eess.AS]Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment
    • [eess.AS]Transferring neural speech waveform synthesizers to musical instrument sounds generation
    • [eess.IV]A Soft STAPLE Algorithm Combined with Anatomical Knowledge
    • [eess.IV]Blood Vessel Detection using Modified Multiscale MF-FDOG Filters for Diabetic Retinopathy
    • [eess.IV]Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI
    • [eess.IV]Dense Dilated Network with Probability Regularized Walk for Vessel Detection
    • [eess.IV]Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study
    • [eess.IV]GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
    • [eess.IV]Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
    • [eess.IV]Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies
    • [eess.IV]Non-Local ConvLSTM for Video Compression Artifact Reduction
    • [eess.IV]Outlining where humans live — The World Settlement Footprint 2015
    • [eess.SP]A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
    • [eess.SP]Automatic Mapping of the Indoor World with Personal Radars
    • [eess.SP]Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector
    • [eess.SP]Learning to Localize: A 3D CNN Approach to User Positioning in Massive MIMO-OFDM Systems
    • [eess.SP]Power Allocation and User Assignment Scheme for Beyond 5G Heterogeneous Networks
    • [eess.SP]Spectral Power Parameter Estimation of Random Sources with Binary Sampled Signals
    • [eess.SY]Design, Implementation and Evaluation of a Variable Stiffness Transradial Hand Prosthesis
    • [eess.SY]MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
    • [math.NA]Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition
    • [math.OC]A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression
    • [math.OC]Minimizing a Sum of Clipped Convex Functions
    • [math.OC]Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
    • [math.PR]Limiting behavior of largest entry of random tensor constructed by high-dimensional data
    • [math.ST]A simple measure of conditional dependence
    • [math.ST]Density Power Downweighting and Robust Inference: Some New Strategies
    • [math.ST]Finite Sample-Size Regime of Testing Against Independence with Communication Constraints
    • [math.ST]Power analysis of knockoff filters for correlated designs
    • [math.ST]Ridge-type Linear Shrinkage Estimation of the Matrix Mean of High-dimensional Normal Distribution
    • [math.ST]Sequential Controlled Sensing for Composite Multihypothesis Testing
    • [math.ST]Testing Equivalence of Clustering
    • [nucl-th]Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
    • [physics.geo-ph]Evidence for higher Earth-system sensitivity from long-term carbon-cycle observations
    • [physics.optics]Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning
    • [quant-ph]A framework for deep energy-based reinforcement learning with quantum speed-up
    • [stat.AP]A Semi-parametric Bayesian Approach to Population Finding with Time-to-Event and Toxicity Data in a Randomized Clinical Trial
    • [stat.AP]Accounting for Smoking in Forecasting Mortality and Life Expectancy
    • [stat.AP]Assessing Dynamic Effects on a Bayesian Matrix-Variate Dynamic Linear Model: an Application to fMRI Data Analysis
    • [stat.AP]Correlated functional models with derivative information for modeling MFS data on rock art paintings
    • [stat.AP]Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models
    • [stat.AP]Expected Hypothetical Completion Probability
    • [stat.AP]Is suicide mortality associated with neighbourhood social fragmentation and deprivation? A Dutch register-based case-control study using individualized neighbourhoods
    • [stat.AP]Joint Analysis of Social and Item Response Networks with Latent Space Models
    • [stat.AP]Population pharmacokinetics of levobupivacaine during a transversus abdominis plane block in children
    • [stat.CO]Approximate Bayesian Computation with the Sliced-Wasserstein Distance
    • [stat.CO]Multilevel Dimension-Independent Likelihood-Informed MCMC for Large-Scale Inverse Problems
    • [stat.ME]A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations
    • [stat.ME]A novel high-power test for continuous outcomes truncated by death
    • [stat.ME]Adaptive Bayesian Spectral Analysis of High-dimensional Nonstationary Time Series
    • [stat.ME]An outlier-robust model averaging approach by Mallows-type criterion
    • [stat.ME]Analysis of Two-Phase Studies using Generalized Method of Moments
    • [stat.ME]Estimation and inference for the indirect effect in high-dimensional linear mediation models
    • [stat.ME]Jackknife Model Averaging for Composite Quantile Regression
    • [stat.ME]Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
    • [stat.ME]Localised pruning for data segmentation based on multiscale change point procedures
    • [stat.ME]Mean curvature and mean shape for multivariate functional data under Frenet-Serret framework
    • [stat.ME]Missing Value Imputation for Mixed Data Through Gaussian Copula
    • [stat.ME]On the asymptotic distribution of model averaging based on information criterion
    • [stat.ME]Shape-Preserving Prediction for Stationary Functional Time Series
    • [stat.ME]The conditional censored graphical lasso estimator
    • [stat.ME]Univariate Likelihood Projections and Characterizations of the Multivariate Normal Distribution
    • [stat.ME]Zero-inflated Poisson Factor Model with Application to Microbiome Absolute Abundance Data
    • [stat.ME]f-SAEM: A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models
    • [stat.ML]Adaptive Sampling for Estimating Multiple Probability Distributions
    • [stat.ML]Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty
    • [stat.ML]Better Exploration with Optimistic Actor-Critic
    • [stat.ML]Conditional Expectation Propagation
    • [stat.ML]Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
    • [stat.ML]Distance approximation using Isolation Forests
    • [stat.ML]Dual IV: A Single Stage Instrumental Variable Regression
    • [stat.ML]Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
    • [stat.ML]On approximating $\nabla f$ with neural networks
    • [stat.ML]On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
    • [stat.ML]Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
    • [stat.ML]Prior specification via prior predictive matching: Poisson matrix factorization and beyond
    • [stat.ML]Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
    • [stat.ML]Stein Variational Gradient Descent With Matrix-Valued Kernels
    • [stat.ML]Understanding and Quantifying Adversarial Examples Existence in Linear Classification

    ·····································

    • [cond-mat.dis-nn]The spectral dimension of simplicial complexes: a renormalization group theory
    Ginestra Bianconi, Sergey N. Dorogovtsev
    http://arxiv.org/abs/1910.12566v1

    • [cond-mat.soft]Analytical classical density functionals from an equation learning network
    Shang-Chun Lin, Georg Martius, Martin Oettel
    http://arxiv.org/abs/1910.12752v1

    • [cs.AI]A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
    Genet Asefa Gesese, Russa Biswas, Mehwish Alam, Harald Sack
    http://arxiv.org/abs/1910.12507v1

    • [cs.AI]D-Point Trigonometric Path Planning based on Q-Learning in Uncertain Environments
    Ehsan Jeihaninejad, Azam Rabiee
    http://arxiv.org/abs/1910.12020v1

    • [cs.AI]Long-term Joint Scheduling for Urban Traffic
    Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen
    http://arxiv.org/abs/1910.12283v1

    • [cs.AI]On the Efficiency of the Neuro-Fuzzy Classifier for User Knowledge Modeling Systems
    Ehsan Jeihaninejad, Azam Rabiee
    http://arxiv.org/abs/1910.12025v1

    • [cs.CL]A Comparison of Neural Network Training Methods for Text Classification
    Anderson de Andrade
    http://arxiv.org/abs/1910.12674v1

    • [cs.CL]Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis
    Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li
    http://arxiv.org/abs/1910.12698v1

    • [cs.CL]Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
    Nasser Zalmout, Nizar Habash
    http://arxiv.org/abs/1910.12702v1

    • [cs.CL]Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels
    Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
    http://arxiv.org/abs/1910.12419v1

    • [cs.CL]Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
    Chris Emmery, Ben Verhoeven, Guy De Pauw, Gilles Jacobs, Cynthia Van Hee, Els Lefever, Bart Desmet, Véronique Hoste, Walter Daelemans
    http://arxiv.org/abs/1910.11922v1

    • [cs.CL]Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments
    Jillian Tompkins
    http://arxiv.org/abs/1910.12073v1

    • [cs.CL]Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
    Vaibhav Vaibhav, Raghuram Mandyam Annasamy, Eduard Hovy
    http://arxiv.org/abs/1910.12203v1

    • [cs.CL]Evaluating Lottery Tickets Under Distributional Shifts
    Shrey Desai, Hongyuan Zhan, Ahmed Aly
    http://arxiv.org/abs/1910.12708v1

    • [cs.CL]Evaluating the Factual Consistency of Abstractive Text Summarization
    Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher
    http://arxiv.org/abs/1910.12840v1

    • [cs.CL]Exploring Author Context for Detecting Intended vs Perceived Sarcasm
    Silviu Oprea, Walid Magdy
    http://arxiv.org/abs/1910.11932v1

    • [cs.CL]Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
    Yingbo Gao, Christian Herold, Weiyue Wang, Hermann Ney
    http://arxiv.org/abs/1910.12554v1

    • [cs.CL]FineText: Text Classification via Attention-based Language Model Fine-tuning
    Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare
    http://arxiv.org/abs/1910.11959v1

    • [cs.CL]Induced Inflection-Set Keyword Search in Speech
    Oliver Adams, Matthew Wiesner, Jan Trmal, Garrett Nicolai, David Yarowsky
    http://arxiv.org/abs/1910.12299v1

    • [cs.CL]Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy
    Laura Hollink, Aysenur Bilgin, Jacco van Ossenbruggen
    http://arxiv.org/abs/1910.12619v1

    • [cs.CL]Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
    Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li, Xiaohao He
    http://arxiv.org/abs/1910.12038v1

    • [cs.CL]Look-up and Adapt: A One-shot Semantic Parser
    Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell
    http://arxiv.org/abs/1910.12197v1

    • [cs.CL]Memeify: A Large-Scale Meme Generation System
    Suryatej Reddy Vyalla, Vishaal Udandarao
    http://arxiv.org/abs/1910.12279v1

    • [cs.CL]Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding
    Jonggu Kim, Jong-Hyeok Lee
    http://arxiv.org/abs/1910.12531v1

    • [cs.CL]Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base
    Yiying Yang, Xiahui He, Kaijie Zhou, Zhongyu Wei
    http://arxiv.org/abs/1910.12477v1

    • [cs.CL]Multitask Learning For Different Subword Segmentations In Neural Machine Translation
    Tejas Srinivasan, Ramon Sanabria, Florian Metze
    http://arxiv.org/abs/1910.12368v1

    • [cs.CL]Open the Boxes of Words: Incorporating Sememes into Textual Adversarial Attack
    Yuan Zang, Chenghao Yang, Fanchao Qi, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun
    http://arxiv.org/abs/1910.12196v1

    • [cs.CL]RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search
    Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei Lin, Bo Zheng, Dongyan Zhao, Rui Yan
    http://arxiv.org/abs/1910.12527v1

    • [cs.CL]Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding
    Alexander H. Liu, Tzu-Wei Sung, Shun-Po Chuang, Hung-yi Lee, Lin-shan Lee
    http://arxiv.org/abs/1910.12740v1

    • [cs.CL]SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
    Saeed Najafipour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou
    http://arxiv.org/abs/1910.12180v1

    • [cs.CL]Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
    Vladislav Kurenkov, Bulat Maksudov, Adil Khan
    http://arxiv.org/abs/1910.12354v1

    • [cs.CL]Thieves on Sesame Street! Model Extraction of BERT-based APIs
    Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer
    http://arxiv.org/abs/1910.12366v1

    • [cs.CL]Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
    Alexander H. Liu, Tao Tu, Hung-yi Lee, Lin-shan Lee
    http://arxiv.org/abs/1910.12729v1

    • [cs.CL]Training ASR models by Generation of Contextual Information
    Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed
    http://arxiv.org/abs/1910.12367v1

    • [cs.CL]ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
    Juraj Juraska, Kevin K. Bowden, Marilyn Walker
    http://arxiv.org/abs/1910.12129v1

    • [cs.CL]What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
    Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang
    http://arxiv.org/abs/1910.12391v1

    • [cs.CL]Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
    Gabriel Stanovsky, Ronen Tamari
    http://arxiv.org/abs/1910.11966v1

    • [cs.CR]An investigation of MMM Ponzi scheme on Bitcoin
    Yazan Boshmaf, Charitha Elvitigala, Husam Al Jawaheri, Primal Wijesekera, Mashael Al Sabah
    http://arxiv.org/abs/1910.12244v1

    • [cs.CR]Protecting Personal Data using Smart Contracts
    Mohsin Ur Rahman, Fabrizio Baiardi, Barbara Guidi, Laura Ricci
    http://arxiv.org/abs/1910.12298v1

    • [cs.CR]Secure Evaluation of Quantized Neural Networks
    Anders Dalskov, Daniel Escudero, Marcel Keller
    http://arxiv.org/abs/1910.12435v1

    • [cs.CR]User Data Sharing Frameworks: A Blockchain-Based Incentive Solution
    Ajay Kumar Shrestha, Julita Vassileva
    http://arxiv.org/abs/1910.11927v1

    • [cs.CV]A Preliminary Study on Optimal Placement of Cameras
    Lin Xu
    http://arxiv.org/abs/1910.12053v1

    • [cs.CV]AbsPoseLifter: Absolute 3D Human Pose Lifting Network from a Single Noisy 2D Human Pose
    Ju Yong Chang, Gyeongsik Moon, Kyoung Mu Lee
    http://arxiv.org/abs/1910.12029v1

    • [cs.CV]Addressing the Sim2Real Gap in Robotic 3D Object Classification
    Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
    http://arxiv.org/abs/1910.12585v1

    • [cs.CV]Adversarial Defense Via Local Flatness Regularization
    Jia Xu, Yiming Li, Yang Bai, Yong Jiang, Shu-Tao Xia
    http://arxiv.org/abs/1910.12165v1

    • [cs.CV]Applications of Generative Adversarial Models in Visual Search Reformulation
    Kyle Xiao, Houdong Hu, Yan Wang
    http://arxiv.org/abs/1910.12460v1

    • [cs.CV]Deep Learning Models for Digital Pathology
    Aïcha BenTaieb, Ghassan Hamarneh
    http://arxiv.org/abs/1910.12329v1

    • [cs.CV]Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network
    François Waldner, Foivos Diakogiannis
    http://arxiv.org/abs/1910.12023v1

    • [cs.CV]Diverse Video Captioning Through Latent Variable Expansion with Conditional GAN
    Huanhou Xiao, Jinglun Shi
    http://arxiv.org/abs/1910.12019v1

    • [cs.CV]ETNet: Error Transition Network for Arbitrary Style Transfer
    Chunjin Song, Zhijie Wu, Yang Zhou, Minglun Gong, Hui Huang
    http://arxiv.org/abs/1910.12056v1

    • [cs.CV]Exploring 3 R’s of Long-term Tracking: Re-detection, Recovery and Reliability
    Shyamgopal Karthik, Abhinav Moudgil, Vineet Gandhi
    http://arxiv.org/abs/1910.12273v1

    • [cs.CV]FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos
    Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian
    http://arxiv.org/abs/1910.12100v1

    • [cs.CV]Few-shot Video-to-Video Synthesis
    Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
    http://arxiv.org/abs/1910.12713v1

    • [cs.CV]Fine-Grained Object Detection over Scientific Document Images with Region Embeddings
    Ankur Goswami, Joshua McGrath, Shanan Peters, Theodoros Rekatsinas
    http://arxiv.org/abs/1910.12462v1

    • [cs.CV]Fine-Grained Visual Recognition with Batch Confusion Norm
    Yen-Chi Hsu, Cheng-Yao Hong, Ding-Jie Chen, Ming-Sui Lee, Davi Geiger, Tyng-Luh Liu
    http://arxiv.org/abs/1910.12423v1

    • [cs.CV]FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
    Xiyan Liu, Gaofeng Meng, Shiming Xiang, Chunhong Pan
    http://arxiv.org/abs/1910.12604v1

    • [cs.CV]HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
    Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu
    http://arxiv.org/abs/1910.12032v1

    • [cs.CV]Hierarchical Clustering-guided re-ID with Triplet loss
    Kaiwei Zeng
    http://arxiv.org/abs/1910.12278v1

    • [cs.CV]Human Keypoint Detection by Progressive Context Refinement
    Jing Zhang, Zhe Chen, Dacheng Tao
    http://arxiv.org/abs/1910.12223v1

    • [cs.CV]Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
    Assia Benbihi, Matthieu Geist, Cédric Pradalier
    http://arxiv.org/abs/1910.12468v1

    • [cs.CV]Learning Disentangled Representation for Robust Person Re-identification
    Chanho Eom. Bumsub Ham
    http://arxiv.org/abs/1910.12003v1

    • [cs.CV]Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019
    Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao
    http://arxiv.org/abs/1910.12044v1

    • [cs.CV]Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships
    Gal Sadeh Kenigsfield, Ran El-Yaniv
    http://arxiv.org/abs/1910.12324v1

    • [cs.CV]MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
    Qing Zhu, Cheng Liao, Han Hu, Xiaoming Mei, Haifeng Li
    http://arxiv.org/abs/1910.12060v1

    • [cs.CV]MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
    Rongcheng Lin, Jing Xiao, Jianping Fan
    http://arxiv.org/abs/1910.12295v1

    • [cs.CV]Multi-Resolution Overlapping Stripes Network for Person Re-Identification
    Arda Efe Okay, Manal AlGhamdi, Robert Westendorp, Mohamed Abdel-Mottaleb
    http://arxiv.org/abs/1910.12322v1

    • [cs.CV]Multi-source Domain Adaptation for Semantic Segmentation
    Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer
    http://arxiv.org/abs/1910.12181v1

    • [cs.CV]Novel Co-variant Feature Point Matching Based on Gaussian Mixture Model
    Liang Shen, Jiahua Zhu, Chongyi Fan, Xiaotao Huang, Tian Jin
    http://arxiv.org/abs/1910.11981v1

    • [cs.CV]Prediction stability as a criterion in active learning
    Junyu Liu, Xiang Li, Jin Wang, Jiqiang Zhou, Jianxiong Shen
    http://arxiv.org/abs/1910.12246v1

    • [cs.CV]Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
    Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel
    http://arxiv.org/abs/1910.12384v1

    • [cs.CV]Region Mutual Information Loss for Semantic Segmentation
    Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai
    http://arxiv.org/abs/1910.12037v1

    • [cs.CV]SENSE: a Shared Encoder Network for Scene-flow Estimation
    Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz
    http://arxiv.org/abs/1910.12361v1

    • [cs.CV]Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net
    Venkatesh R, Anand Metha
    http://arxiv.org/abs/1910.12206v1

    • [cs.CV]Self-supervised learning of class embeddings from video
    Olivia Wiles, A. Sophia Koepke, Andrew Zisserman
    http://arxiv.org/abs/1910.12699v1

    • [cs.CV]Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking
    Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind
    http://arxiv.org/abs/1910.12770v1

    • [cs.CV]Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation
    Martin Hirzer, Peter M. Roth, Vincent Lepetit
    http://arxiv.org/abs/1910.12257v1

    • [cs.CV]Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
    Mathews Jacob, Merry P. Mani, Jong Chul Ye
    http://arxiv.org/abs/1910.12162v1

    • [cs.CV]The Quo Vadis submission at Traffic4cast 2019
    Dan Oneata, Cosmin George Alexandru, Marius Stanescu, Octavian Pascu, Alexandru Magan, Adrian Postelnicu, Horia Cucu
    http://arxiv.org/abs/1910.12363v1

    • [cs.CV]Use of a Capsule Network to Detect Fake Images and Videos
    Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
    http://arxiv.org/abs/1910.12467v1

    • [cs.CV]Virtual Piano using Computer Vision
    Seongjae Kang, Jaeyoon Kim, Sung-eui Yoon
    http://arxiv.org/abs/1910.12539v1

    • [cs.CV]Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation
    Alireza Chamanzar, Yao Nie
    http://arxiv.org/abs/1910.12326v1

    • [cs.CY]A Triangulated Model to Assess Adoption of Virtual Learning Environements in Primary Schools
    Elena Codreanu, Christine Michel, Marc-Eric Bobiller-Chaumon, Olivier Vigneau
    http://arxiv.org/abs/1910.12859v1

    • [cs.CY]AI Ethics in Industry: A Research Framework
    Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson
    http://arxiv.org/abs/1910.12695v1

    • [cs.CY]Fostering Peer Learning through a New Game-Theoretical Approach in a Blended Learning Environment
    Seyede Fatemeh Noorani, Mohammad Hossein Manshaei, Mohammad Ali Montazeri, Behnaz Omoomi
    http://arxiv.org/abs/1910.12235v1

    • [cs.CY]Learning Fair and Interpretable Representations via Linear Orthogonalization
    Yuzi He, Keith Burghardt, Kristina Lerman
    http://arxiv.org/abs/1910.12854v1

    • [cs.DC]Annual Interruption Rate as a KPI, its measurement and comparison
    Rohit Pandey, Yingnong Dang, Ali Vira, Aerin Kim, Gil Lapid Shafriri, Murali Chintalapati
    http://arxiv.org/abs/1910.12200v1

    • [cs.DC]Introduction to local certification
    Laurent Feuilloley
    http://arxiv.org/abs/1910.12747v1

    • [cs.DC]Massively Parallel Algorithms for String Matching with Wildcards
    MohammadTaghi Hajiaghayi, Hamed Saleh, Saeed Seddighin, Xiaorui Sun
    http://arxiv.org/abs/1910.11829v2

    • [cs.DC]Semi-Asymmetric Parallel Graph Algorithms for NVRAMs
    Laxman Dhulipala, Charlie McGuffey, Hongbo Kang, Yan Gu, Guy E. Blelloch, Phillip B. Gibbons, Julian Shun
    http://arxiv.org/abs/1910.12310v1

    • [cs.DS]Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs
    Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel
    http://arxiv.org/abs/1910.12340v1

    • [cs.GT]Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
    Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
    http://arxiv.org/abs/1910.12450v1

    • [cs.HC]Human-AI Co-Learning for Data-Driven AI
    Yi-Ching Huang, Yu-Ting Cheng, Lin-Lin Chen, Jane Yung-jen Hsu
    http://arxiv.org/abs/1910.12544v1

    • [cs.HC]Information Seeking and Information Processing Behaviors Among Type 2 Diabetics
    Sarah Masud Preum, Kate Clark, Ashley Davis, Konstantine Khutsishvilli, Rupa S Valdez
    http://arxiv.org/abs/1910.12444v1

    • [cs.IR]A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations
    Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan
    http://arxiv.org/abs/1910.12757v1

    • [cs.IR]Empirical Analysis of Session-Based Recommendation Algorithms
    Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach
    http://arxiv.org/abs/1910.12781v1

    • [cs.IR]Online News Media Website Ranking Using User Generated Content
    Samaneh Karimi, Azadeh Shakery, Rakesh Verma
    http://arxiv.org/abs/1910.12441v1

    • [cs.IR]The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance
    Brit Youngmann, Ran Gilad-Bachrach, Danny Karmon, Elad Yom-Tov
    http://arxiv.org/abs/1910.12274v1

    • [cs.IR]The Performance Envelope of Inverted Indexing on Modern Hardware
    Jimmy Lin, Lori Paniak, Gordon Boerke
    http://arxiv.org/abs/1910.11028v2

    • [cs.IT]A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver
    Hoon Lee, Tony Q. S. Quek, Sang Hyun Lee
    http://arxiv.org/abs/1910.12048v1

    • [cs.IT]A class of functions with low-valued Walsh spectrum
    Fengwei Li, Yansheng Wu, Qin Yue
    http://arxiv.org/abs/1910.12036v1

    • [cs.IT]Deep Joint Source-Channel Coding for Wireless Image Retrieval
    Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
    http://arxiv.org/abs/1910.12703v1

    • [cs.IT]Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis
    Jing Bai, Yongchao Wang, Qingjiang Shi
    http://arxiv.org/abs/1910.12712v1

    • [cs.IT]Full-Duplex Enabled Mobile Edge Caching: From Distributed to Cooperative Caching
    Thang X. Vu, Symeon Chatzinotas, Björn Ottersten, Anh Vu Trinh
    http://arxiv.org/abs/1910.12716v1

    • [cs.IT]Greedy Sparse Signal Recovery Algorithm Based on Bit-wise MAP detection
    J. Chae, S. -N. Hong
    http://arxiv.org/abs/1910.12512v1

    • [cs.IT]LCD Matrix-Product Codes over Commutative Rings
    Abdulaziz Deajim, Mohamed Bouye
    http://arxiv.org/abs/1910.12440v1

    • [cs.IT]Latency and timeliness in multi-hop satellite networks
    Beatriz Soret, Sucheta Ravikanti, Petar Popovski
    http://arxiv.org/abs/1910.12767v1

    • [cs.IT]Massive Access for Future Wireless Communication Systems
    Yongpeng Wu, Xiqi Gao, Shidong Zhou, Wei Yang, Yury Polyanskiy, Giuseppe Caire
    http://arxiv.org/abs/1910.12678v1

    • [cs.IT]New quaternary codes derived from posets of the disjoint union of two chains
    Xiaomeng Zhu, Yansheng Wu, Qin Yue
    http://arxiv.org/abs/1910.12242v1

    • [cs.IT]On the Storage Cost of Private Information Retrieval
    Chao Tian
    http://arxiv.org/abs/1910.11973v1

    • [cs.IT]Optimal $k$-Deletion Correcting Codes
    Jin Sima, Jehoshua Bruck
    http://arxiv.org/abs/1910.12247v1

    • [cs.IT]Secret Key Generation via Pulse-Coupled Synchronization
    Hessam Mahdavifar, Najme Ebrahimi
    http://arxiv.org/abs/1910.12178v1

    • [cs.IT]Small Memory Robust Simulation of Client-Server Interactive Protocols over Oblivious Noisy Channels
    T-H. Hubert Chan, Zhibin Liang, Antigoni Polychroniadou, Elaine Shi
    http://arxiv.org/abs/1910.12175v1

    • [cs.IT]Spatially Coupled LDPC Codes with Sub-Block Locality
    Eshed Ram, Yuval Cassuto
    http://arxiv.org/abs/1910.12217v1

    • [cs.IT]Stochastic Geometry Analysis of Hybrid Aerial Terrestrial Networks with mmWave Backhauling
    Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Khlood Alshaikh, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
    http://arxiv.org/abs/1910.12035v1

    • [cs.IT]Zero-Error Capacity of Multiple Access Channels via Nonstochastic Information
    Ghassen Zafzouf, Girish N. Nair, Jamie S. Evans
    http://arxiv.org/abs/1910.12328v1

    • [cs.LG]A Game Theoretic Approach to Class-wise Selective Rationalization
    Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
    http://arxiv.org/abs/1910.12853v1

    • [cs.LG]A geometric interpretation of stochastic gradient descent using diffusion metrics
    R. Fioresi, P. Chaudhari, S. Soatto
    http://arxiv.org/abs/1910.12194v1

    • [cs.LG]Adaptive Loss Scaling for Mixed Precision Training
    Ruizhe Zhao, Brian Vogel, Tanvir Ahmed
    http://arxiv.org/abs/1910.12385v1

    • [cs.LG]Adaptive Sampling for Stochastic Risk-Averse Learning
    Sebastian Curi, Kfir. Y. Levy, Stefanie Jegelka, Andreas Krause
    http://arxiv.org/abs/1910.12511v1

    • [cs.LG]An Active Approach for Model Interpretation
    Jialin Lu, Martin Ester
    http://arxiv.org/abs/1910.12207v1

    • [cs.LG]An Adaptive and Momental Bound Method for Stochastic Learning
    Jianbang Ding, Xuancheng Ren, Ruixuan Luo, Xu Sun
    http://arxiv.org/abs/1910.12249v1

    • [cs.LG]An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection
    Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim
    http://arxiv.org/abs/1910.12806v1

    • [cs.LG]Asynchronous Methods for Model-Based Reinforcement Learning
    Yunzhi Zhang, Ignasi Clavera, Boren Tsai, Pieter Abbeel
    http://arxiv.org/abs/1910.12453v1

    • [cs.LG]Attention for Inference Compilation
    William Harvey, Andreas Munk, Atılım Güneş Baydin, Alexander Bergholm, Frank Wood
    http://arxiv.org/abs/1910.11961v1

    • [cs.LG]Attenuating Random Noise in Seismic Data by a Deep Learning Approach
    Xing Zhao, Ping Lu, Yanyan Zhang, Jianxiong Chen, Xiaoyang Li
    http://arxiv.org/abs/1910.12800v1

    • [cs.LG]BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
    Xinyue Chen, Zijian Zhou, Zheng Wang, Che Wang, Yanqiu Wu, Qing Deng, Keith Ross
    http://arxiv.org/abs/1910.12179v1

    • [cs.LG]Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
    Soumyasundar Pal, Florence Regol, Mark Coates
    http://arxiv.org/abs/1910.12132v1

    • [cs.LG]Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
    Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, Peter Flach
    http://arxiv.org/abs/1910.12656v1

    • [cs.LG]CXPlain: Causal Explanations for Model Interpretation under Uncertainty
    Patrick Schwab, Walter Karlen
    http://arxiv.org/abs/1910.12336v1

    • [cs.LG]Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS
    Shengyi Huang, Santiago Ontañón
    http://arxiv.org/abs/1910.12134v1

    • [cs.LG]Compressed Sensing with Probability-based Prior Information
    Q. Jiang, S. Li, Z. Zhu, H. Bai, X. He, R. C. de Lamare
    http://arxiv.org/abs/1910.12258v1

    • [cs.LG]Consistency Regularization for Generative Adversarial Networks
    Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
    http://arxiv.org/abs/1910.12027v1

    • [cs.LG]Convergent Policy Optimization for Safe Reinforcement Learning
    Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
    http://arxiv.org/abs/1910.12156v1

    • [cs.LG]Cross-Channel Intragroup Sparsity Neural Network
    Zhilin Yu, Chao Wang, Qing Wu, Yong Zhao, Xundong Wu
    http://arxiv.org/abs/1910.11971v1

    • [cs.LG]Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
    Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou, Chang-Lun Liu, Jinn-Liang Liu
    http://arxiv.org/abs/1910.12031v1

    • [cs.LG]Deep Probabilistic Surrogate Networks for Universal Simulator Approximation
    Andreas Munk, Adam Ścibior, Atılım Güneş Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
    http://arxiv.org/abs/1910.11950v1

    • [cs.LG]Deep causal representation learning for unsupervised domain adaptation
    Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu
    http://arxiv.org/abs/1910.12417v1

    • [cs.LG]Deep convolutional autoencoder for cryptocurrency market analysis
    Vladimir Puzyrev
    http://arxiv.org/abs/1910.12281v1

    • [cs.LG]Detection of Adversarial Attacks and Characterization of Adversarial Subspace
    Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
    http://arxiv.org/abs/1910.12084v1

    • [cs.LG]Differentiable Convex Optimization Layers
    Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, Zico Kolter
    http://arxiv.org/abs/1910.12430v1

    • [cs.LG]Differentially Private Distributed Data Summarization under Covariate Shift
    Kanthi Sarpatwar, Karthikeyan Shanmugam, Venkata Sitaramagiridharganesh Ganapavarapu, Ashish Jagmohan, Roman Vaculin
    http://arxiv.org/abs/1910.12832v1

    • [cs.LG]Distributed Estimation via Network Regularization
    Lingzhou Hong, Alfredo Garcia, Ceyhun Eksin
    http://arxiv.org/abs/1910.12783v1

    • [cs.LG]EdgeFool: An Adversarial Image Enhancement Filter
    Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro
    http://arxiv.org/abs/1910.12227v1

    • [cs.LG]Empirical Differential Privacy
    Paul Burchard, Anthony Daoud
    http://arxiv.org/abs/1910.12820v1

    • [cs.LG]Entity Abstraction in Visual Model-Based Reinforcement Learning
    Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine
    http://arxiv.org/abs/1910.12827v1

    • [cs.LG]FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
    Nur Sila Gulgec, Zheng Shi, Neil Deshmukh, Shamim Pakzad, Martin Takac
    http://arxiv.org/abs/1910.12680v1

    • [cs.LG]Fair Generative Modeling via Weak Supervision
    Aditya Grover, Kristy Choi, Rui Shu, Stefano Ermon
    http://arxiv.org/abs/1910.12008v1

    • [cs.LG]Fast classification rates without standard margin assumptions
    Olivier Bousquet, Nikita Zhivotovskiy
    http://arxiv.org/abs/1910.12756v1

    • [cs.LG]Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
    Sabri Boughorbel, Fethi Jarray, Neethu Venugopal, Shabir Moosa, Haithum Elhadi, Michel Makhlouf
    http://arxiv.org/abs/1910.12191v1

    • [cs.LG]Generative Well-intentioned Networks
    Justin Cosentino, Jun Zhu
    http://arxiv.org/abs/1910.12481v1

    • [cs.LG]Growing axons: greedy learning of neural networks with application to function approximation
    Daria Fokina, Ivan Oseledets
    http://arxiv.org/abs/1910.12686v1

    • [cs.LG]HIDRA: Head Initialization across Dynamic targets for Robust Architectures
    Rafael Rego Drumond, Lukas Brinkmeyer, Josif Grabocka, Lars Schmidt-Thieme
    http://arxiv.org/abs/1910.12749v1

    • [cs.LG]Implicit Posterior Variational Inference for Deep Gaussian Processes
    Haibin Yu, Yizhou Chen, Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
    http://arxiv.org/abs/1910.11998v1

    • [cs.LG]Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
    Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang
    http://arxiv.org/abs/1910.12166v1

    • [cs.LG]Improving Graph Attention Networks with Large Margin-based Constraints
    Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
    http://arxiv.org/abs/1910.11945v1

    • [cs.LG]Inherent Weight Normalization in Stochastic Neural Networks
    Georgios Detorakis, Sourav Dutta, Abhishek Khanna, Matthew Jerry, Suman Datta, Emre Neftci
    http://arxiv.org/abs/1910.12316v1

    • [cs.LG]Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
    Aya Abdelsalam Ismail, Mohamed Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
    http://arxiv.org/abs/1910.12370v1

    • [cs.LG]Kernel Stein Tests for Multiple Model Comparison
    Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
    http://arxiv.org/abs/1910.12252v1

    • [cs.LG]**LReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
    Mina Basirat, Peter M. Roth
    http://arxiv.org/abs/1910.12259v1

    • [cs.LG]Landmark Ordinal Embedding
    Nikhil Ghosh, Yuxin Chen, Yisong Yue
    http://arxiv.org/abs/1910.12379v1

    • [cs.LG]Layer Pruning for Accelerating Very Deep Neural Networks
    Weiwei Zhang, Changsheng chen, Xuechun Wu, Jialin Gao, Di Bao, Jiwei Li, Xi Zhou
    http://arxiv.org/abs/1910.12727v1

    • [cs.LG]Learning Data Manipulation for Augmentation and Weighting
    Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom Mitchell, Eric P. Xing
    http://arxiv.org/abs/1910.12795v1

    • [cs.LG]Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
    Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen
    http://arxiv.org/abs/1910.12469v1

    • [cs.LG]Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
    Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni
    http://arxiv.org/abs/1910.12414v1

    • [cs.LG]Minimax Weight and Q-Function Learning for Off-Policy Evaluation
    Masatoshi Uehara, Nan Jiang
    http://arxiv.org/abs/1910.12809v1

    • [cs.LG]Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
    Axel Brando, Jose A. Rodriguez, Jordi Vitria, Alberto Rubio
    http://arxiv.org/abs/1910.12288v1

    • [cs.LG]Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency
    Matt Whitehill, Shuang Ma, Daniel McDuff, Yale Song
    http://arxiv.org/abs/1910.11958v1

    • [cs.LG]Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
    Jörg K. H. Franke, Gregor Köhler, Noor Awad, Frank Hutter
    http://arxiv.org/abs/1910.12824v1

    • [cs.LG]Neural Network Distiller: A Python Package For DNN Compression Research
    Neta Zmora, Guy Jacob, Lev Zlotnik, Bar Elharar, Gal Novik
    http://arxiv.org/abs/1910.12232v1

    • [cs.LG]On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
    Jens Clausen, Walter L. Boyajian, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel
    http://arxiv.org/abs/1910.11914v1

    • [cs.LG]Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
    Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi
    http://arxiv.org/abs/1910.12424v1

    • [cs.LG]PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views
    Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
    http://arxiv.org/abs/1910.12001v1

    • [cs.LG]PRNet: Self-Supervised Learning for Partial-to-Partial Registration
    Yue Wang, Justin M. Solomon
    http://arxiv.org/abs/1910.12240v1

    • [cs.LG]PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems
    Alexander Potapov, Ian Colbert, Ken Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
    http://arxiv.org/abs/1910.12454v1

    • [cs.LG]PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance
    Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raul Santos-Rodriguez
    http://arxiv.org/abs/1910.12548v1

    • [cs.LG]PopSGD: Decentralized Stochastic Gradient Descent in the Population Model
    Giorgi Nadiradze, Amirmojtaba Sabour, Aditya Sharma, Ilia Markov, Vitaly Aksenov, Dan Alistarh
    http://arxiv.org/abs/1910.12308v1

    • [cs.LG]Pre-train and Learn: Preserve Global Information for Graph Neural Networks
    Danhao Zhu, Xin-yu Dai, Jiajun Chen
    http://arxiv.org/abs/1910.12241v1

    • [cs.LG]Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
    Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman
    http://arxiv.org/abs/1910.11956v1

    • [cs.LG]SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
    Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar
    http://arxiv.org/abs/1910.12024v1

    • [cs.LG]Same-Cluster Querying for Overlapping Clusters
    Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal
    http://arxiv.org/abs/1910.12490v1

    • [cs.LG]Semi-Implicit Stochastic Recurrent Neural Networks
    Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian
    http://arxiv.org/abs/1910.12819v1

    • [cs.LG]Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem
    Zhengxuan Ling, Xinyu Tao, Yu Zhang, Xi Chen
    http://arxiv.org/abs/1910.12243v1

    • [cs.LG]Spectral Algorithm for Low-rank Multitask Regression
    Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias
    http://arxiv.org/abs/1910.12204v1

    • [cs.LG]Tensor Q-Rank: A New Data Dependent Tensor Rank
    Hao Kong, Zhouchen Lin
    http://arxiv.org/abs/1910.12016v1

    • [cs.LG]The Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes
    Seung Joon Nam, Han Min Kim, Thomas Kang, Cheol Young Park
    http://arxiv.org/abs/1910.12748v1

    • [cs.LG]TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
    Vinoj Jayasundara, Nghi Duy Quoc Bui, Lingxiao Jiang, David Lo
    http://arxiv.org/abs/1910.12306v1

    • [cs.LG]Understanding Isomorphism Bias in Graph Data Sets
    Sergei Ivanov, Sergei Sviridov, Evgeny Burnaev
    http://arxiv.org/abs/1910.12091v1

    • [cs.LG]Variable Selection with Copula Entropy
    Ma Jian
    http://arxiv.org/abs/1910.12389v1

    • [cs.LG]Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework
    Srinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe, Vishwajith Kumar
    http://arxiv.org/abs/1910.12061v1

    • [cs.LG]ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
    Daniel Seita, David Chan, Roshan Rao, Chen Tang, Mandi Zhao, John Canny
    http://arxiv.org/abs/1910.12154v1

    • [cs.LO]Simplifying Neural Networks with the Marabou Verification Engine
    Sumathi Gokulanathan, Alexander Feldsher, Adi Malca, Clark Barrett, Guy Katz
    http://arxiv.org/abs/1910.12396v1

    • [cs.MM]Automatic Reminiscence Therapy for Dementia
    Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giro-i-Nieto
    http://arxiv.org/abs/1910.11949v1

    • [cs.NE]CTNN: Corticothalamic-inspired neural network
    Leendert A Remmelzwaal, Amit Mishra, George F R Ellis
    http://arxiv.org/abs/1910.12492v1

    • [cs.NE]Computational design of organic solar cell active layer through genetic algorithm
    Caine Ardayfio
    http://arxiv.org/abs/1910.12401v1

    • [cs.NE]Making Predictive Coding Networks Generative
    Jeff Orchard, Wei Sun
    http://arxiv.org/abs/1910.12151v1

    • [cs.NE]Swarm Behaviour Evolution via Rule Sharing and Novelty Search
    Phillip Smith, Robert Hunjet, Aldeida Aleti, Asad Khan
    http://arxiv.org/abs/1910.12412v1

    • [cs.NE]Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
    Greg Yang
    http://arxiv.org/abs/1910.12478v1

    • [cs.NI]Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMs
    Maxime Mouchet, Sandrine Vaton, Thierry Chonavel, Emile Aben, Jasper den Hertog
    http://arxiv.org/abs/1910.12714v1

    • [cs.RO]Analysis on Advancement of Hybrid Fuzzy Sliding Mode Controllers for Nonlinear Systems
    Mukhtar Fatihu Hamza, Abdulbasid Ismail Isa, Jamilu Kamilu Adamu
    http://arxiv.org/abs/1910.12072v1

    • [cs.RO]Driving Datasets Literature Review
    Charles-Éric Noël Laflamme, François Pomerleau, Philippe Giguère
    http://arxiv.org/abs/1910.11968v1

    • [cs.RO]KETO: Learning Keypoint Representations for Tool Manipulation
    Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese
    http://arxiv.org/abs/1910.11977v1

    • [cs.RO]Low-Cost GPS-Aided LiDAR State Estimation and Map Building
    Linwei Zheng, Yilong Zhu, Bohuan Xue, Ming Liu, Rui Fan
    http://arxiv.org/abs/1910.12731v1

    • [cs.RO]Performance Analysis of PID, PD and Fuzzy Controllers for Position Control of 3-Dof Robot Manipulator
    Usman Kabir, Mukhtar Fatihu Hamza, Ado Haruna, Gaddafi Sani Shehu
    http://arxiv.org/abs/1910.12076v1

    • [cs.RO]Real-Time, Environmentally-Robust 3D LiDAR Localization
    Yilong Zhu, Bohuan Xue, Linwei Zheng, Huaiyang Huang, Ming Liu, Rui Fan
    http://arxiv.org/abs/1910.12728v1

    • [cs.RO]Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control
    Phillip Smith, Aldeida Aleti, Vincent C. S. Lee, Robert Hunjet, Asad Khan
    http://arxiv.org/abs/1910.12415v1

    • [cs.RO]Robots as Actors in a Film: No War, A Robot Story
    Andreagiovanni Reina, Viktor Ioannou, Junjin Chen, Lu Lu, Charles Kent, James A. R. Marshall
    http://arxiv.org/abs/1910.12294v1

    • [cs.RO]Robust GNSS Denied Localization for UAV Using Particle Filter and Visual Odometry
    Rokas Jurevičius, Virginijus Marcinkevičius, Justinas Šeibokas
    http://arxiv.org/abs/1910.12121v1

    • [cs.RO]Task-Informed Fidelity Management for Speeding Up Robotics Simulation
    Abhijeet Tallavajhula, Adrian Schoisengeier, Sung-Kyun Kim, Anirudh Vemula, Levi Lister, Oren Salzman
    http://arxiv.org/abs/1910.12284v1

    • [cs.SD]A holistic approach to polyphonic music transcription with neural networks
    Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza
    http://arxiv.org/abs/1910.12086v1

    • [cs.SD]Accurate and Scalable Version Identification Using Musically-Motivated Embeddings
    Furkan Yesiler, Joan Serrà, Emilia Gómez
    http://arxiv.org/abs/1910.12551v1

    • [cs.SD]Interrupted and cascaded permutation invariant training for speech separation
    Gene-Ping Yang, Szu-Lin Wu, Yao-Wen Mao, Hung-yi Lee, Lin-shan Lee
    http://arxiv.org/abs/1910.12706v1

    • [cs.SD]Meta Learning for End-to-End Low-Resource Speech Recognition
    Jui-Yang Hsu, Yuan-Jui Chen, Hung-yi Lee
    http://arxiv.org/abs/1910.12094v1

    • [cs.SD]Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers
    Eduardo Fonseca, Frederic Font, Xavier Serra
    http://arxiv.org/abs/1910.12004v1

    • [cs.SD]Sound Event Recognition in a Smart City Surveillance Context
    Tito Spadini, Dimitri Leandro de Oliveira Silva, Ricardo Suyama
    http://arxiv.org/abs/1910.12369v1

    • [cs.SD]Unsupervised pre-traing for sequence to sequence speech recognition
    Zhiyun Fan, Shiyu Zhou, Bo Xu
    http://arxiv.org/abs/1910.12418v1

    • [cs.SI]A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
    Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
    http://arxiv.org/abs/1910.12574v1

    • [cs.SI]A framework for second order eigenvector centralities and clustering coefficients
    Francesca Arrigo, Desmond J. Higham, Francesco Tudisco
    http://arxiv.org/abs/1910.12711v1

    • [cs.SI]CONNA: Addressing Name Disambiguation on The Fly
    Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li
    http://arxiv.org/abs/1910.12202v1

    • [cs.SI]Maximizing Contrasting Opinions in Signed Social Networks
    Kaivalya Rawal, Arijit Khan
    http://arxiv.org/abs/1910.12017v1

    • [cs.SI]Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets
    Renhao Cui, Gagan Agrawal, Rajiv Ramnath
    http://arxiv.org/abs/1910.12446v1

    • [econ.EM]Testing Forecast Rationality for Measures of Central Tendency
    Timo Dimitriadis, Andrew J. Patton, Patrick Schmidt
    http://arxiv.org/abs/1910.12545v1

    • [eess.AS]Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment
    Yusuke Yasuda, Xin Wang, Junichi Yamagishi
    http://arxiv.org/abs/1910.12383v1

    • [eess.AS]Transferring neural speech waveform synthesizers to musical instrument sounds generation
    Yi Zhao, Xin Wang, Lauri Juvela, Junichi Yamagishi
    http://arxiv.org/abs/1910.12381v1

    • [eess.IV]A Soft STAPLE Algorithm Combined with Anatomical Knowledge
    Eytan Kats, Jacob Goldberger, Hayit Greenspan
    http://arxiv.org/abs/1910.12077v1

    • [eess.IV]Blood Vessel Detection using Modified Multiscale MF-FDOG Filters for Diabetic Retinopathy
    Debojyoti Mallick, Kundan Kumar, Sumanshu Agarwal
    http://arxiv.org/abs/1910.12028v1

    • [eess.IV]Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI
    Mahdieh Shabanian, Eugene C. Eckstein, Hao Chen, John P. DeVincenzo
    http://arxiv.org/abs/1910.12159v1

    • [eess.IV]Dense Dilated Network with Probability Regularized Walk for Vessel Detection
    Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu
    http://arxiv.org/abs/1910.12010v1

    • [eess.IV]Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study
    Ata Jodeiri, Yoshito Otake, Reza A. Zoroofi, Yuta Hiasa, Masaki Takao, Keisuke Uemura, Nobuhiko Sugano, Yoshinobu Sato
    http://arxiv.org/abs/1910.12122v1

    • [eess.IV]GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
    Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
    http://arxiv.org/abs/1910.12325v1

    • [eess.IV]Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
    Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding
    http://arxiv.org/abs/1910.12514v1

    • [eess.IV]Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies
    Guillaume Noyel, Jesus Angulo, Dominique Jeulin, Daniel Balvay, Charles-André Cuenod
    http://arxiv.org/abs/1910.12704v1

    • [eess.IV]Non-Local ConvLSTM for Video Compression Artifact Reduction
    Yi Xu, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun
    http://arxiv.org/abs/1910.12286v1

    • [eess.IV]Outlining where humans live — The World Settlement Footprint 2015
    Mattia Marconcini, Annekatrin Metz-Marconcini, Soner Üreyen, Daniela Palacios-Lopez, Wiebke Hanke, Felix Bachofer, Julian Zeidler, Thomas Esch, Noel Gorelick, Ashwin Kakarla, Emanuele Strano
    http://arxiv.org/abs/1910.12707v1

    • [eess.SP]A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
    Xiangyu Zhang, Sayan Mukherjee, Alvin R. Lebeck
    http://arxiv.org/abs/1910.12346v1

    • [eess.SP]Automatic Mapping of the Indoor World with Personal Radars
    Anna Guerra, Francesco Guidi, Gianni Pasolini, Antonio Clemente, Raffaele D’Errico, Davide Dardari
    http://arxiv.org/abs/1910.12810v1

    • [eess.SP]Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector
    Melih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh, Elizabeth Munch
    http://arxiv.org/abs/1910.12359v1

    • [eess.SP]Learning to Localize: A 3D CNN Approach to User Positioning in Massive MIMO-OFDM Systems
    Chi Wu, Xinping Yi, Wenjin Wang, Li You, Qing Huang, Xiqi Gao
    http://arxiv.org/abs/1910.12378v1

    • [eess.SP]Power Allocation and User Assignment Scheme for Beyond 5G Heterogeneous Networks
    Khush Bakht, Furqan Jameel, Zain Ali, Wali Ullah Khan, Imran Khan, Guftaar Ahmad Sardar Sidhu, Jeong Woo Lee
    http://arxiv.org/abs/1910.12657v1

    • [eess.SP]Spectral Power Parameter Estimation of Random Sources with Binary Sampled Signals
    Manuel S. Stein
    http://arxiv.org/abs/1910.12309v1

    • [eess.SY]Design, Implementation and Evaluation of a Variable Stiffness Transradial Hand Prosthesis
    Elif Hocaoglu, Volkan Patoglu
    http://arxiv.org/abs/1910.12569v1

    • [eess.SY]MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
    Wenbo Zhang, Osbert Bastani
    http://arxiv.org/abs/1910.12639v1

    • [math.NA]Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition
    Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik
    http://arxiv.org/abs/1910.12331v1

    • [math.OC]A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression
    Jiajin Li, Sen Huang, Anthony Man-Cho So
    http://arxiv.org/abs/1910.12778v1

    • [math.OC]Minimizing a Sum of Clipped Convex Functions
    Shane Barratt, Guillermo Angeris, Stephen Boyd
    http://arxiv.org/abs/1910.12342v1

    • [math.OC]Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
    René Carmona, Mathieu Laurière, Zongjun Tan
    http://arxiv.org/abs/1910.12802v1

    • [math.PR]Limiting behavior of largest entry of random tensor constructed by high-dimensional data
    Tiefeng Jiang, Junshan Xie
    http://arxiv.org/abs/1910.12701v1

    • [math.ST]A simple measure of conditional dependence
    Mona Azadkia, Sourav Chatterjee
    http://arxiv.org/abs/1910.12327v1

    • [math.ST]Density Power Downweighting and Robust Inference: Some New Strategies
    Saptarshi Roy, Kaustav Chakraborty, Somnath Bhadra, Ayanendranath Basu
    http://arxiv.org/abs/1910.12372v1

    • [math.ST]Finite Sample-Size Regime of Testing Against Independence with Communication Constraints
    Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
    http://arxiv.org/abs/1910.12831v1

    • [math.ST]Power analysis of knockoff filters for correlated designs
    Jingbo Liu, Philippe Rigollet
    http://arxiv.org/abs/1910.12428v1

    • [math.ST]Ridge-type Linear Shrinkage Estimation of the Matrix Mean of High-dimensional Normal Distribution
    Ryota Yuasa, Tatsuya Kubokawa
    http://arxiv.org/abs/1910.11984v1

    • [math.ST]Sequential Controlled Sensing for Composite Multihypothesis Testing
    Aditya Deshmukh, Srikrishna Bhashyam, Venugopal V. Veeravalli
    http://arxiv.org/abs/1910.12697v1

    • [math.ST]Testing Equivalence of Clustering
    Chao Gao, Zongming Ma
    http://arxiv.org/abs/1910.12797v1

    • [nucl-th]Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
    Léo Neufcourt, Yuchen Cao, Samuel Giuliani, Witold Nazarewicz, Erik Olsen, Oleg B. Tarasov
    http://arxiv.org/abs/1910.12624v1

    • [physics.geo-ph]Evidence for higher Earth-system sensitivity from long-term carbon-cycle observations
    Tony E. Wong, Ying Cui, Dana L. Royer, Klaus Keller
    http://arxiv.org/abs/1910.11987v1

    • [physics.optics]Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning
    Trevon Badloe, Inki Kim, Junsuk Rho
    http://arxiv.org/abs/1910.12465v1

    • [quant-ph]A framework for deep energy-based reinforcement learning with quantum speed-up
    Sofiene Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko
    http://arxiv.org/abs/1910.12760v1

    • [stat.AP]A Semi-parametric Bayesian Approach to Population Finding with Time-to-Event and Toxicity Data in a Randomized Clinical Trial
    Satoshi Morita, Peter Müller, Hiroyasu Abe
    http://arxiv.org/abs/1910.12174v1

    • [stat.AP]Accounting for Smoking in Forecasting Mortality and Life Expectancy
    Yicheng Li, Adrian E. Raftery
    http://arxiv.org/abs/1910.12168v1

    • [stat.AP]Assessing Dynamic Effects on a Bayesian Matrix-Variate Dynamic Linear Model: an Application to fMRI Data Analysis
    Johnatan Cardona Jiménez, Carlos A. de B. Pereira, Victor Fossaluza
    http://arxiv.org/abs/1910.12058v1

    • [stat.AP]Correlated functional models with derivative information for modeling MFS data on rock art paintings
    Gabriel Riutort-Mayol, Virgilio Gómez-Rubio, José Luis Lerma, Julio M. del Hoyo-Meléndez
    http://arxiv.org/abs/1910.12575v1

    • [stat.AP]Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models
    Belhal Karimi, Marc Lavielle
    http://arxiv.org/abs/1910.12090v1

    • [stat.AP]Expected Hypothetical Completion Probability
    Sameer K. Deshpande, Katherine Evans
    http://arxiv.org/abs/1910.12337v1

    • [stat.AP]Is suicide mortality associated with neighbourhood social fragmentation and deprivation? A Dutch register-based case-control study using individualized neighbourhoods
    Paulien Hagedoorn, Peter Groenewegen, Hannah Roberts, Marco Helbich
    http://arxiv.org/abs/1910.12487v1

    • [stat.AP]Joint Analysis of Social and Item Response Networks with Latent Space Models
    Selena Shuo Wang, Subhadeep Paul, Jessica Logan, Paul De Boeck
    http://arxiv.org/abs/1910.12128v1

    • [stat.AP]Population pharmacokinetics of levobupivacaine during a transversus abdominis plane block in children
    Marc Vincent, Olivier Mathieu, Patrick Nolain, Cecilia Menacé, Sonia Khier
    http://arxiv.org/abs/1910.12710v1

    • [stat.CO]Approximate Bayesian Computation with the Sliced-Wasserstein Distance
    Kimia Nadjahi, Valentin De Bortoli, Alain Durmus, Roland Badeau, Umut Şimşekli
    http://arxiv.org/abs/1910.12815v1

    • [stat.CO]Multilevel Dimension-Independent Likelihood-Informed MCMC for Large-Scale Inverse Problems
    Tiangang Cui, Gianluca Detommaso, Robert Scheichl
    http://arxiv.org/abs/1910.12431v1

    • [stat.ME]A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations
    Shuchi Goyal, Gauri Sankar Datta, Abhyuday Mandal
    http://arxiv.org/abs/1910.12471v1

    • [stat.ME]A novel high-power test for continuous outcomes truncated by death
    Andreas Kryger Jensen, Theis Lange
    http://arxiv.org/abs/1910.12267v1

    • [stat.ME]Adaptive Bayesian Spectral Analysis of High-dimensional Nonstationary Time Series
    Zeda Li, Ori Rosen, Fabio Ferrarelli, Robert T. Krafty
    http://arxiv.org/abs/1910.12126v1

    • [stat.ME]An outlier-robust model averaging approach by Mallows-type criterion
    Miaomiao Wang, Guohua Zou
    http://arxiv.org/abs/1910.12210v1

    • [stat.ME]Analysis of Two-Phase Studies using Generalized Method of Moments
    Prosenjit Kundu, Nilanjan Chatterjee
    http://arxiv.org/abs/1910.11991v1

    • [stat.ME]Estimation and inference for the indirect effect in high-dimensional linear mediation models
    Ruixuan Rachel Zhou, Liewei Wang, Sihai Dave Zhao
    http://arxiv.org/abs/1910.12457v1

    • [stat.ME]Jackknife Model Averaging for Composite Quantile Regression
    Miaomiao Wang, Guohua Zou
    http://arxiv.org/abs/1910.12209v1

    • [stat.ME]Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
    Nathan Kallus, Michele Santacatterina
    http://arxiv.org/abs/1910.11972v1

    • [stat.ME]Localised pruning for data segmentation based on multiscale change point procedures
    Haeran Cho, Claudia Kirch
    http://arxiv.org/abs/1910.12486v1

    • [stat.ME]Mean curvature and mean shape for multivariate functional data under Frenet-Serret framework
    Juhyun Park, Nicolas J-B. Brunel
    http://arxiv.org/abs/1910.12049v1

    • [stat.ME]Missing Value Imputation for Mixed Data Through Gaussian Copula
    Yuxuan Zhao, Madeleine Udell
    http://arxiv.org/abs/1910.12845v1

    • [stat.ME]On the asymptotic distribution of model averaging based on information criterion
    Miaomiao Wang, Xinyu Zhang, Alan T. K. Wan, Guohua Zou
    http://arxiv.org/abs/1910.12208v1

    • [stat.ME]Shape-Preserving Prediction for Stationary Functional Time Series
    Shuhao Jiao, Hernando Ombao
    http://arxiv.org/abs/1910.12046v1

    • [stat.ME]The conditional censored graphical lasso estimator
    Luigi Augugliaro, Gianluca Sottile, Veronica Vinciotti
    http://arxiv.org/abs/1910.12775v1

    • [stat.ME]Univariate Likelihood Projections and Characterizations of the Multivariate Normal Distribution
    Albert Vexler
    http://arxiv.org/abs/1910.12394v1

    • [stat.ME]Zero-inflated Poisson Factor Model with Application to Microbiome Absolute Abundance Data
    Tianchen Xu, Ryan T. Demmer, Gen Li
    http://arxiv.org/abs/1910.11985v1

    • [stat.ME]f-SAEM: A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models
    Belhal Karimi, Marc Lavielle, Eric Moulines
    http://arxiv.org/abs/1910.12222v1

    • [stat.ML]Adaptive Sampling for Estimating Multiple Probability Distributions
    Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
    http://arxiv.org/abs/1910.12406v1

    • [stat.ML]Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty
    Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
    http://arxiv.org/abs/1910.12043v1

    • [stat.ML]Better Exploration with Optimistic Actor-Critic
    Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
    http://arxiv.org/abs/1910.12807v1

    • [stat.ML]Conditional Expectation Propagation
    Zheng Wang, Shandian Zhe
    http://arxiv.org/abs/1910.12360v1

    • [stat.ML]Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
    Taiji Suzuki, Atsushi Nitanda
    http://arxiv.org/abs/1910.12799v1

    • [stat.ML]Distance approximation using Isolation Forests
    David Cortes
    http://arxiv.org/abs/1910.12362v1

    • [stat.ML]Dual IV: A Single Stage Instrumental Variable Regression
    Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj
    http://arxiv.org/abs/1910.12358v1

    • [stat.ML]Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
    Wei Ma, George H. Chen
    http://arxiv.org/abs/1910.12774v1

    • [stat.ML]On approximating $\nabla f$ with neural networks
    Saeed Saremi
    http://arxiv.org/abs/1910.12744v1

    • [stat.ML]On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
    Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
    http://arxiv.org/abs/1910.12521v1

    • [stat.ML]Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
    Yan Shuo Tan, Roman Vershynin
    http://arxiv.org/abs/1910.12837v1

    • [stat.ML]Prior specification via prior predictive matching: Poisson matrix factorization and beyond
    Eliezer de Souza da Silva, Tomasz Kuśmierczyk, Marcelo Hartmann, Arto Klami
    http://arxiv.org/abs/1910.12263v1

    • [stat.ML]Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
    Christian Soize, Roger Ghanem
    http://arxiv.org/abs/1910.12717v1

    • [stat.ML]Stein Variational Gradient Descent With Matrix-Valued Kernels
    Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu
    http://arxiv.org/abs/1910.12794v1

    • [stat.ML]Understanding and Quantifying Adversarial Examples Existence in Linear Classification
    Xupeng Shi, A. Adam Ding
    http://arxiv.org/abs/1910.12163v1