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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 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.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-fin.PM - 投资组合管理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network
    • [cs.AI]Automatic Short Answer Grading via Multiway Attention Networks
    • [cs.AI]Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval
    • [cs.AI]Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
    • [cs.AI]Informing a BDI Player Model for an Interactive Narrative
    • [cs.AI]Leveraging Human Guidance for Deep Reinforcement Learning Tasks
    • [cs.AI]LuNet: A Deep Neural Network for Network Intrusion Detection
    • [cs.AI]On Controlled DeEntanglement for Natural Language Processing
    • [cs.AI]On Weighted Envy-Freeness in Indivisible Item Allocation
    • [cs.AI]Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties
    • [cs.AI]Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach
    • [cs.AI]Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach
    • [cs.AI]Towards Intelligent Interactive Theatre: Drama Management as a way of Handling Performance
    • [cs.AI]Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data
    • [cs.CL]A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation
    • [cs.CL]Adapting Language Models for Non-Parallel Author-Stylized Rewriting
    • [cs.CL]Algorithms for certain classes of Tamil Spelling correction
    • [cs.CL]Automated Chess Commentator Powered by Neural Chess Engine
    • [cs.CL]Biomedical Mention Disambiguation using a Deep Learning Approach
    • [cs.CL]Cross-Lingual Natural Language Generation via Pre-Training
    • [cs.CL]Deep Structured Neural Network for Event Temporal Relation Extraction
    • [cs.CL]Dependency-Guided LSTM-CRF for Named Entity Recognition
    • [cs.CL]Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
    • [cs.CL]GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
    • [cs.CL]Generating Timelines by Modeling Semantic Change
    • [cs.CL]Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
    • [cs.CL]Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR
    • [cs.CL]Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
    • [cs.CL]Inducing Constituency Trees through Neural Machine Translation
    • [cs.CL]Is change the only constant? Profile change perspective on #LokSabhaElections2019
    • [cs.CL]Learning Dense Representations for Entity Retrieval
    • [cs.CL]Low-Rank Approximation of Matrices for PMI-based Word Embeddings
    • [cs.CL]Measuring Conceptual Entanglement in Collections of Documents
    • [cs.CL]NLVR2 Visual Bias Analysis
    • [cs.CL]Self-attention based end-to-end Hindi-English Neural Machine Translation
    • [cs.CL]Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
    • [cs.CL]Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features
    • [cs.CL]Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network
    • [cs.CL]TinyBERT: Distilling BERT for Natural Language Understanding
    • [cs.CL]Towards Best Experiment Design for Evaluating Dialogue System Output
    • [cs.CL]Using Chinese Glyphs for Named Entity Recognition
    • [cs.CL]Visuallly Grounded Generation of Entailments from Premises
    • [cs.CR]Adversarial Examples for Deep Learning Cyber Security Analytics
    • [cs.CR]Challenges of Privacy-Preserving Machine Learning in IoT
    • [cs.CR]Detection of Classifier Inconsistencies in Image Steganalysis
    • [cs.CR]From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework
    • [cs.CR]HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud
    • [cs.CR]Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data
    • [cs.CV]Advances in Computer-Aided Diagnosis of Diabetic Retinopathy
    • [cs.CV]Adversarial Learning of General Transformations for Data Augmentation
    • [cs.CV]Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
    • [cs.CV]CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
    • [cs.CV]Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint
    • [cs.CV]Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
    • [cs.CV]Deep Convolutions for In-Depth Automated Rock Typing
    • [cs.CV]Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis
    • [cs.CV]Double Anchor R-CNN for Human Detection in a Crowd
    • [cs.CV]Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling
    • [cs.CV]Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
    • [cs.CV]Field typing for improved recognition on heterogeneous handwritten forms
    • [cs.CV]Generating Positive Bounding Boxes for Balanced Training of Object Detectors
    • [cs.CV]Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
    • [cs.CV]Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
    • [cs.CV]How to improve CNN-based 6-DoF camera pose estimation
    • [cs.CV]Human Synthesis and Scene Compositing
    • [cs.CV]Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and “transfer learning” technique
    • [cs.CV]IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
    • [cs.CV]Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks
    • [cs.CV]Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression
    • [cs.CV]Learning Coupled Spatial-temporal Attention for Skeleton-based Action Recognition
    • [cs.CV]Learning Dense Voxel Embeddings for 3D Neuron Reconstruction
    • [cs.CV]Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators
    • [cs.CV]Learning a Fixed-Length Fingerprint Representation
    • [cs.CV]Model-Based and Data-Driven Strategies in Medical Image Computing
    • [cs.CV]Nonlocal Patches based Gaussian Mixture Model for Image Inpainting
    • [cs.CV]Object Segmentation using Pixel-wise Adversarial Loss
    • [cs.CV]Patch-Based Image Similarity for Intraoperative 2D/3D Pelvis Registration During Periacetabular Osteotomy
    • [cs.CV]Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies
    • [cs.CV]Pixel-Level Dense Prediction without Decoder
    • [cs.CV]Predicting Landscapes from Environmental Conditions Using Generative Networks
    • [cs.CV]RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
    • [cs.CV]Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
    • [cs.CV]Robust Local Features for Improving the Generalization of Adversarial Training
    • [cs.CV]Scheduled Differentiable Architecture Search for Visual Recognition
    • [cs.CV]Semi-supervised estimation of event temporal length for cell event detection
    • [cs.CV]Shadow Transfer: Single Image Relighting For Urban Road Scenes
    • [cs.CV]Smooth Extrapolation of Unknown Anatomy via Statistical Shape Models
    • [cs.CV]Structured Binary Neural Networks for Image Recognition
    • [cs.CV]Tag-based Semantic Features for Scene Image Classification
    • [cs.CV]To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
    • [cs.CV]Validation of image-guided cochlear implant programming techniques
    • [cs.CV]Variational Conditional GAN for Fine-grained Controllable Image Generation
    • [cs.CV]Visual Odometry Revisited: What Should Be Learnt?
    • [cs.CV]Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning
    • [cs.CV]Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning
    • [cs.CV]Where to Look Next: Unsupervised Active Visual Exploration on 360° Input
    • [cs.CV]WiCV 2019: The Sixth Women In Computer Vision Workshop
    • [cs.CV]mlVIRNET: Multilevel Variational Image Registration Network
    • [cs.CY]Can WhatsApp Counter Misinformation by Limiting Message Forwarding?
    • [cs.CY]LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai
    • [cs.CY]Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines
    • [cs.DC]A Lightweight Blockchain-based Privacy Protection for Smart Surveillance at the Edge
    • [cs.DC]Blocking and sparsity for optimization of convolution calculation algorithm on GPUs
    • [cs.DC]Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud
    • [cs.DC]Gene-Patterns: Should Architecture be Customized for Each Application?
    • [cs.DC]IBFT 2.0: A Safe and Live Variation of the IBFT Blockchain Consensus Protocol for Eventually Synchronous Networks
    • [cs.DC]Machine Learning Pipelines with Modern Big DataTools for High Energy Physics
    • [cs.DC]Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid
    • [cs.DC]Randomized Gathering of Asynchronous Mobile Robots
    • [cs.DS]Sliding window property testing for regular languages
    • [cs.HC]Deep Multi-Facial patches Aggregation Network for Expression Classification from Face Images
    • [cs.IR]NewsDeps: Visualizing the Origin of Information in News Articles
    • [cs.IT]Cross-Complementary Pairs for Optimal Training in Spatial Modulation over Frequency Selective Channels
    • [cs.IT]Entanglement-Assisted Capacity of Quantum Channels with Side Information
    • [cs.IT]Explicit and Efficient Constructions of Coding Schemes for the Binary Deletion Channel and the Poisson Repeat Channel
    • [cs.IT]Graph Signal Processing — Part II: Processing and Analyzing Signals on Graphs
    • [cs.IT]Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation
    • [cs.IT]Low-PAPR Preamble Design for FBMC Systems
    • [cs.IT]New Sets of Optimal Odd-length Binary Z-Complementary Pairs
    • [cs.IT]Private Information Retrieval from MDS Array Codes with (Near-) Optimal Repair Bandwidth
    • [cs.IT]Subpacketization in Coded Caching with Demand Privacy
    • [cs.IT]Versatile Compressive mmWave Hybrid Beamformer Codebook Design Framework
    • [cs.LG]A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
    • [cs.LG]An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
    • [cs.LG]Analyzing Recurrent Neural Network by Probabilistic Abstraction
    • [cs.LG]Class-dependent Compression of Deep Neural Networks
    • [cs.LG]Classification in asymmetric spaces via sample compression
    • [cs.LG]Deep Message Passing on Sets
    • [cs.LG]Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
    • [cs.LG]Deep Universal Graph Embedding Neural Network
    • [cs.LG]Do Compressed Representations Generalize Better?
    • [cs.LG]Heterogeneous Graph Convolutional Networks for Temporal Community Detection
    • [cs.LG]Improving Generative Visual Dialog by Answering Diverse Questions
    • [cs.LG]Learning an Adaptive Learning Rate Schedule
    • [cs.LG]LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks
    • [cs.LG]MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
    • [cs.LG]Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
    • [cs.LG]Model-Agnostic Linear Competitors — When Interpretable Models Compete and Collaborate with Black-Box Models
    • [cs.LG]Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
    • [cs.LG]On Model Stability as a Function of Random Seed
    • [cs.LG]On the Importance of Delexicalization for Fact Verification
    • [cs.LG]Online Hierarchical Clustering Approximations
    • [cs.LG]PAC Reinforcement Learning without Real-World Feedback
    • [cs.LG]Positive-Unlabeled Compression on the Cloud
    • [cs.LG]Scalable Kernel Learning via the Discriminant Information
    • [cs.LG]Scale MLPerf-0.6 models on Google TPU-v3 Pods
    • [cs.LG]Single Class Universum-SVM
    • [cs.LG]Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
    • [cs.LG]Understanding and Robustifying Differentiable Architecture Search
    • [cs.LG]Using theoretical ROC curves for analysing machine learning binary classifiers
    • [cs.LG]Verified Uncertainty Calibration
    • [cs.MA]Multiagent Evaluation under Incomplete Information
    • [cs.MM]sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos
    • [cs.NE]AHA! an ‘Artificial Hippocampal Algorithm’ for Episodic Machine Learning
    • [cs.NE]An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution
    • [cs.NI]5G: Agent for Further Digital Disruptive Transformations
    • [cs.NI]Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
    • [cs.RO]An Adversarial Approach to Private Flocking in Mobile Robot Teams
    • [cs.RO]Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance
    • [cs.RO]Formal Connections between Template and Anchor Models via Approximate Simulation
    • [cs.RO]Human Position Detection & Tracking with On-robot Time-of-Flight Laser Ranging Sensors
    • [cs.RO]Improving CNN-based Planar Object Detection with Geometric Prior Knowledge
    • [cs.RO]In-hand Sliding Regrasp with Spring-Sliding Compliance
    • [cs.RO]Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators
    • [cs.RO]Learning a Control Policy for Fall Prevention on an Assistive Walking Device
    • [cs.RO]Modular Pipe Climber
    • [cs.RO]Omnidirectional Tractable Three Module Robot
    • [cs.RO]Online DCM Trajectory Generation for Push Recovery of Torque-Controlled Humanoid Robots
    • [cs.RO]Optimal Motion Planning for Multi-Modal Hybrid Locomotion
    • [cs.RO]Optimal Reduced-order Modeling of Bipedal Locomotion
    • [cs.RO]Path Planning Tolerant to Degraded Locomotion Conditions
    • [cs.RO]Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data
    • [cs.RO]Revisiting the Asymptotic Optimality of RRT*
    • [cs.RO]Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
    • [cs.RO]Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
    • [cs.RO]Self-Healing Ground-and-Air Connectivity Chains
    • [cs.RO]Self-supervised 6D Object Pose Estimation for Robot Manipulation
    • [cs.RO]String Diagrams for Assembly Planning
    • [cs.RO]Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter
    • [cs.RO]Whole-Body Geometric Retargeting for Humanoid Robots
    • [cs.SD]CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
    • [cs.SE]Formalism for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts
    • [cs.SI]A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation
    • [cs.SI]A Probabilistic Graph Model for Trust Opinion Estimation in Online Social Networks
    • [cs.SI]Community Detection and Improved Detectability in Multiplex Networks
    • [cs.SI]Embedding-based Qualitative Analysis of Polarization in Turkey
    • [cs.SI]Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly
    • [cs.SI]Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility
    • [cs.SI]Predicting consumers engagement on Facebook based on what and how companies write
    • [cs.SI]Trust Assessment in Online Social Networks
    • [eess.IV]Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
    • [eess.SP]Deep learning approach to control of prosthetic hands with electromyography signals
    • [eess.SP]Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks
    • [eess.SP]Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing
    • [eess.SY]Constrained Attractor Selection Using Deep Reinforcement Learning
    • [eess.SY]Controller Synthesis for Multi-Agent Systems With Intermittent Communication: A Metric Temporal Logic Approach
    • [eess.SY]Flying batteries: In-flight battery switching to increase multirotor flight time
    • [eess.SY]Sequential Dynamic Resource Allocation for Epidemic Control
    • [math.CO]Whitney Numbers of Combinatorial Geometries and Higher-Weight Dowling Lattices
    • [math.NA]PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds
    • [math.NA]Strapdown Attitude Computation: Functional Iterative Integration versus Taylor Series Expansion
    • [math.OC]A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing
    • [math.OC]Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning
    • [math.OC]Decentralized Markov Chain Gradient Descent
    • [math.OC]Efficient Learning of Distributed Linear-Quadratic Controllers
    • [math.OC]Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods
    • [math.PR]On the Whittle estimator for linear random noise spectral density parameter in continuous-time nonlinear regression models
    • [math.PR]Time Series, Persistent Homology and Chirality
    • [math.PR]Universal Lossless Compression of Graphical Data
    • [math.ST]A new coefficient of correlation
    • [math.ST]Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates
    • [math.ST]Bayesian Inference on Multivariate Medians and Quantiles
    • [math.ST]Computing the degrees of freedom of rank-regularized estimators and cousins
    • [math.ST]Dimension reduction in spatial regression with kernel SAVE method
    • [math.ST]Distribution-free consistent independence tests via Hallin’s multivariate rank
    • [math.ST]On uniform continuity of posterior distributions
    • [math.ST]PAC-Bayesian Bounds for Deep Gaussian Processes
    • [math.ST]Probabilistic Fitting of Topological Structure to Data
    • [math.ST]Quantile LASSO with changepoints in panel data models applied to option pricing
    • [math.ST]Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
    • [physics.comp-ph]PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
    • [physics.comp-ph]Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
    • [physics.soc-ph]Differences in structure and dynamics of networks retrieved from dark and public web forums
    • [physics.soc-ph]Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks
    • [physics.soc-ph]Sensitivity of collective outcomes identifies pivotal components
    • [q-fin.PM]Machine Learning Optimization Algorithms & Portfolio Allocation
    • [stat.AP]IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses
    • [stat.AP]Outlier-Detection Based Robust Information Fusion for Networked Systems
    • [stat.AP]Robust Inference for Skewed data in Health Sciences
    • [stat.AP]What do adoption patterns of solar panels observed so far tell about governments’ incentive? insight from diffusion models
    • [stat.ME]DECoVaC: Design of Experiments with Controlled Variability Components
    • [stat.ME]Improve Orthogonal GARCH with Hidden Markov Model
    • [stat.ME]Meaningful causal decompositions in health equity research: definition, identification, and estimation through a weighting framework
    • [stat.ME]Semantic and Cognitive Tools to Aid Statistical Inference: Replace Confidence and Significance by Compatibility and Surprise
    • [stat.ME]The Locally Gaussian Partial Correlation
    • [stat.ME]To Aid Statistical Inference, Emphasize Unconditional Descriptions of Statistics
    • [stat.ML]A generalization of regularized dual averaging and its dynamics
    • [stat.ML]ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks
    • [stat.ML]Inference of modes for linear stochastic processes
    • [stat.ML]Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
    • [stat.ML]Manifold Fitting under Unbounded Noise
    • [stat.ML]Optimal query complexity for private sequential learning
    • [stat.ML]Particle Smoothing Variational Objectives
    • [stat.ML]Using Statistics to Automate Stochastic Optimization

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    • [cs.AI]Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network
    Zhaoyi Pei, Piaosong Hao, Meixiang Quan, Muhammad Zuhair Qadir, Guo Li
    http://arxiv.org/abs/1909.10157v1

    • [cs.AI]Automatic Short Answer Grading via Multiway Attention Networks
    Tiaoqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu
    http://arxiv.org/abs/1909.10166v1

    • [cs.AI]Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval
    Paul Tarau, Eduardo Blanco
    http://arxiv.org/abs/1909.09742v1

    • [cs.AI]Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
    Ameya Vaidya, Feng Mai, Yue Ning
    http://arxiv.org/abs/1909.09758v1

    • [cs.AI]Informing a BDI Player Model for an Interactive Narrative
    Jessica Rivera-Villicana, Fabio Zambetta, James Harland, Marsha Berry
    http://arxiv.org/abs/1909.10414v1

    • [cs.AI]Leveraging Human Guidance for Deep Reinforcement Learning Tasks
    Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone
    http://arxiv.org/abs/1909.09906v1

    • [cs.AI]LuNet: A Deep Neural Network for Network Intrusion Detection
    Peilun Wu, Hui Guo
    http://arxiv.org/abs/1909.10031v1

    • [cs.AI]On Controlled DeEntanglement for Natural Language Processing
    SaiKrishna Rallabandi
    http://arxiv.org/abs/1909.09964v1

    • [cs.AI]On Weighted Envy-Freeness in Indivisible Item Allocation
    Mithun Chakraborty, Warut Suksompong, Yair Zick
    http://arxiv.org/abs/1909.10502v1

    • [cs.AI]Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties
    Jan Pöppel, Stefan Kopp
    http://arxiv.org/abs/1909.10419v1

    • [cs.AI]Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach
    Shiyang Li, Jianshu Chen, Dian Yu
    http://arxiv.org/abs/1909.09743v1

    • [cs.AI]Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach
    Yazan Mualla, Amro Najjar, Timotheus Kampik, Igor Tchappi, Stéphane Galland, Christophe Nicolle
    http://arxiv.org/abs/1909.10090v1

    • [cs.AI]Towards Intelligent Interactive Theatre: Drama Management as a way of Handling Performance
    Nic Velissaris, Jessica Rivera-Villicana
    http://arxiv.org/abs/1909.10371v1

    • [cs.AI]Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data
    Hamidreza Shahidi, Ming Li, Jimmy Lin
    http://arxiv.org/abs/1909.10158v1

    • [cs.CL]A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation
    Berk Ekmekci, Eleanor Hagerman, Blake Howald
    http://arxiv.org/abs/1909.10368v1

    • [cs.CL]Adapting Language Models for Non-Parallel Author-Stylized Rewriting
    Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu N, Vasudeva Varma
    http://arxiv.org/abs/1909.09962v1

    • [cs.CL]Algorithms for certain classes of Tamil Spelling correction
    Muthiah Annamalai, T. Shrinivasan
    http://arxiv.org/abs/1909.10063v1

    • [cs.CL]Automated Chess Commentator Powered by Neural Chess Engine
    Hongyu Zang, Zhiwei Yu, Xiaojun Wan
    http://arxiv.org/abs/1909.10413v1

    • [cs.CL]Biomedical Mention Disambiguation using a Deep Learning Approach
    Chih-Hsuan Wei, Kyubum Lee, Robert Leaman, Zhiyong Lu
    http://arxiv.org/abs/1909.10416v1

    • [cs.CL]Cross-Lingual Natural Language Generation via Pre-Training
    Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang
    http://arxiv.org/abs/1909.10481v1

    • [cs.CL]Deep Structured Neural Network for Event Temporal Relation Extraction
    Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel, Nanyun Peng
    http://arxiv.org/abs/1909.10094v1

    • [cs.CL]Dependency-Guided LSTM-CRF for Named Entity Recognition
    Zhanming Jie, Wei Lu
    http://arxiv.org/abs/1909.10148v1

    • [cs.CL]Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
    Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann
    http://arxiv.org/abs/1909.10430v1

    • [cs.CL]GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
    Maksim Belousov, Nikola Milosevic, Ghada Alfattni, Haifa Alrdahi, Goran Nenadic
    http://arxiv.org/abs/1909.10390v1

    • [cs.CL]Generating Timelines by Modeling Semantic Change
    Guy D. Rosin, Kira Radinsky
    http://arxiv.org/abs/1909.09907v1

    • [cs.CL]Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
    Diego Marcheggiani, Ivan Titov
    http://arxiv.org/abs/1909.09814v1

    • [cs.CL]Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR
    Hirofumi Inaguma, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara
    http://arxiv.org/abs/1909.09993v1

    • [cs.CL]Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
    Amit Moryossef, Ido Dagan, Yoav Goldberg
    http://arxiv.org/abs/1909.09986v1

    • [cs.CL]Inducing Constituency Trees through Neural Machine Translation
    Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman
    http://arxiv.org/abs/1909.10056v1

    • [cs.CL]Is change the only constant? Profile change perspective on #LokSabhaElections2019
    Kumari Neha, Shashank Srikanth, Sonali Singhal, Shwetanshu Singh, Arun Balaji Buduru, Ponnurangam Kumaraguru
    http://arxiv.org/abs/1909.10012v1

    • [cs.CL]Learning Dense Representations for Entity Retrieval
    Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, Diego Garcia-Olano
    http://arxiv.org/abs/1909.10506v1

    • [cs.CL]Low-Rank Approximation of Matrices for PMI-based Word Embeddings
    Alena Sorokina, Aidana Karipbayeva, Zhenisbek Assylbekov
    http://arxiv.org/abs/1909.09855v1

    • [cs.CL]Measuring Conceptual Entanglement in Collections of Documents
    Tomas Veloz, Xiazhao Zhao, Diederik Aerts
    http://arxiv.org/abs/1909.09708v1

    • [cs.CL]NLVR2 Visual Bias Analysis
    Alane Suhr, Yoav Artzi
    http://arxiv.org/abs/1909.10411v1

    • [cs.CL]Self-attention based end-to-end Hindi-English Neural Machine Translation
    Siddhant Srivastava, Ritu Tiwari
    http://arxiv.org/abs/1909.09779v1

    • [cs.CL]Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
    Berk Ekmekci, Eleanor Hagerman, Blake Howald
    http://arxiv.org/abs/1909.10393v1

    • [cs.CL]Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features
    Jennifer Williams, Joanna Rownicka
    http://arxiv.org/abs/1909.10324v1

    • [cs.CL]Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network
    Chen Zhang, Qiuchi Li, Dawei Song
    http://arxiv.org/abs/1909.10171v1

    • [cs.CL]TinyBERT: Distilling BERT for Natural Language Understanding
    Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu
    http://arxiv.org/abs/1909.10351v1

    • [cs.CL]Towards Best Experiment Design for Evaluating Dialogue System Output
    Sashank Santhanam, Samira Shaikh
    http://arxiv.org/abs/1909.10122v1

    • [cs.CL]Using Chinese Glyphs for Named Entity Recognition
    Arijit Sehanobish, Chan Hee Song
    http://arxiv.org/abs/1909.09922v1

    • [cs.CL]Visuallly Grounded Generation of Entailments from Premises
    Somaye Jafaritazehjani, Albert Gatt, Marc Tanti
    http://arxiv.org/abs/1909.09788v1

    • [cs.CR]Adversarial Examples for Deep Learning Cyber Security Analytics
    Alesia Chernikova, Alina Oprea
    http://arxiv.org/abs/1909.10480v1

    • [cs.CR]Challenges of Privacy-Preserving Machine Learning in IoT
    Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng
    http://arxiv.org/abs/1909.09804v1

    • [cs.CR]Detection of Classifier Inconsistencies in Image Steganalysis
    Daniel Lerch-Hostalot, David Megías
    http://arxiv.org/abs/1909.10278v1

    • [cs.CR]From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework
    Yang Lu, Shujun Li, Athina Ioannou, Iis Tussyadiah
    http://arxiv.org/abs/1909.09942v1

    • [cs.CR]HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud
    M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
    http://arxiv.org/abs/1909.09731v1

    • [cs.CR]Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data
    Evan Brinckman, Andrey Kuehlkamp, Jarek Nabrzyski, Ian J. Taylor
    http://arxiv.org/abs/1909.09925v1

    • [cs.CV]Advances in Computer-Aided Diagnosis of Diabetic Retinopathy
    Saket S. Chaturvedi, Kajol Gupta, Vaishali Ninawe, Prakash S. Prasad
    http://arxiv.org/abs/1909.09853v1

    • [cs.CV]Adversarial Learning of General Transformations for Data Augmentation
    Saypraseuth Mounsaveng, David Vazquez, Ismail Ben Ayed, Marco Pedersoli
    http://arxiv.org/abs/1909.09801v1

    • [cs.CV]Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
    Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo
    http://arxiv.org/abs/1909.09823v1

    • [cs.CV]CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
    Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yang Yang
    http://arxiv.org/abs/1909.09822v1

    • [cs.CV]Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint
    Kaixu Huang, Fanman Meng, Hongliang Li, Shuai Chen, Qingbo Wu, King N. Ngan
    http://arxiv.org/abs/1909.09839v1

    • [cs.CV]Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
    Qiqi Hou, Feng Liu
    http://arxiv.org/abs/1909.09725v1

    • [cs.CV]Deep Convolutions for In-Depth Automated Rock Typing
    E. E. Baraboshkin, L. S. Ismailova, D. M. Orlov, E. A. Zhukovskaya, G. A. Kalmykov, O. V. Khotylev, E. Yu. Baraboshkin, D. A. Koroteev
    http://arxiv.org/abs/1909.10227v1

    • [cs.CV]Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis
    Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
    http://arxiv.org/abs/1909.09741v1

    • [cs.CV]Double Anchor R-CNN for Human Detection in a Crowd
    Kevin Zhang, Feng Xiong, Peize Sun, Li Hu, Boxun Li, Gang Yu
    http://arxiv.org/abs/1909.09998v1

    • [cs.CV]Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling
    Boitumelo Ruf, Thomas Pollok, Martin Weinmann
    http://arxiv.org/abs/1909.09891v1

    • [cs.CV]Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
    Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin
    http://arxiv.org/abs/1909.10128v1

    • [cs.CV]Field typing for improved recognition on heterogeneous handwritten forms
    Ciprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet
    http://arxiv.org/abs/1909.10120v1

    • [cs.CV]Generating Positive Bounding Boxes for Balanced Training of Object Detectors
    Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
    http://arxiv.org/abs/1909.09777v1

    • [cs.CV]Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
    Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
    http://arxiv.org/abs/1909.10431v1

    • [cs.CV]Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
    Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia
    http://arxiv.org/abs/1909.10469v1

    • [cs.CV]How to improve CNN-based 6-DoF camera pose estimation
    Soroush Seifi, Tinne Tuytelaars
    http://arxiv.org/abs/1909.10312v1

    • [cs.CV]Human Synthesis and Scene Compositing
    Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu
    http://arxiv.org/abs/1909.10307v1

    • [cs.CV]Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and “transfer learning” technique
    Alexey Demyanchuk, Ekaterina Pushkina, Nikolay Russkikh, Dmitry Shtokalo, Sergey Mishinov
    http://arxiv.org/abs/1909.10473v1

    • [cs.CV]IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
    Zehui Yao, Boyan Zhang, Zhiyong Wang, Wanli Ouyang, Dong Xu, Dagan Feng
    http://arxiv.org/abs/1909.09767v1

    • [cs.CV]Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks
    Xiang Li, Jiechao Ma, Hongwei Li
    http://arxiv.org/abs/1909.09837v1

    • [cs.CV]Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression
    Ignas Budvytis, Marvin Teichmann, Tomas Vojir, Roberto Cipolla
    http://arxiv.org/abs/1909.10239v1

    • [cs.CV]Learning Coupled Spatial-temporal Attention for Skeleton-based Action Recognition
    Jiayun Wang
    http://arxiv.org/abs/1909.10214v1

    • [cs.CV]Learning Dense Voxel Embeddings for 3D Neuron Reconstruction
    Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung
    http://arxiv.org/abs/1909.09872v1

    • [cs.CV]Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators
    Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao
    http://arxiv.org/abs/1909.09953v1

    • [cs.CV]Learning a Fixed-Length Fingerprint Representation
    Joshua J. Engelsma, Kai Cao, Anil K. Jain
    http://arxiv.org/abs/1909.09901v1

    • [cs.CV]Model-Based and Data-Driven Strategies in Medical Image Computing
    Daniel Rueckert, Julia A. Schnabel
    http://arxiv.org/abs/1909.10391v1

    • [cs.CV]Nonlocal Patches based Gaussian Mixture Model for Image Inpainting
    Wei Wan, Jun Liu
    http://arxiv.org/abs/1909.09932v1

    • [cs.CV]Object Segmentation using Pixel-wise Adversarial Loss
    Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper
    http://arxiv.org/abs/1909.10341v1

    • [cs.CV]Patch-Based Image Similarity for Intraoperative 2D/3D Pelvis Registration During Periacetabular Osteotomy
    Robert Grupp, Mehran Armand, Russell Taylor
    http://arxiv.org/abs/1909.10443v1

    • [cs.CV]Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies
    Robert Grupp, Yoshito Otake, Ryan Murphy, Javad Parvizi, Mehran Armand, Russell Taylor
    http://arxiv.org/abs/1909.10452v1

    • [cs.CV]Pixel-Level Dense Prediction without Decoder
    Xin Cai, Yi-Fei Pu
    http://arxiv.org/abs/1909.09961v1

    • [cs.CV]Predicting Landscapes from Environmental Conditions Using Generative Networks
    Christian Requena-Mesa, Markus Reichstein, Miguel Mahecha, Basil Kraft, Joachim Denzler
    http://arxiv.org/abs/1909.10296v1

    • [cs.CV]RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
    Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Chen Wang, Yan-Jie Zhou, Rui-Qi Li, Zhen Li
    http://arxiv.org/abs/1909.10360v1

    • [cs.CV]Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
    Hanjiang Hu, Hesheng Wang, Zhe Liu, Chenguang Yang, Weidong Chen, Le Xie
    http://arxiv.org/abs/1909.10184v1

    • [cs.CV]Robust Local Features for Improving the Generalization of Adversarial Training
    Chubiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
    http://arxiv.org/abs/1909.10147v1

    • [cs.CV]Scheduled Differentiable Architecture Search for Visual Recognition
    Zhaofan Qiu, Ting Yao, Yiheng Zhang, Yongdong Zhang, Tao Mei
    http://arxiv.org/abs/1909.10236v1

    • [cs.CV]Semi-supervised estimation of event temporal length for cell event detection
    Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael Fulham, Jinman Kim
    http://arxiv.org/abs/1909.09946v1

    • [cs.CV]Shadow Transfer: Single Image Relighting For Urban Road Scenes
    Alexandra Carlson, Ram Vasudevan, Matthew Johnson-Roberson
    http://arxiv.org/abs/1909.10363v1

    • [cs.CV]Smooth Extrapolation of Unknown Anatomy via Statistical Shape Models
    Robert Grupp, Hsin-Hong Chiang, Yoshito Otake, Ryan Murphy, Chad Gordon, Mehran Armand, Russell Taylor
    http://arxiv.org/abs/1909.10153v1

    • [cs.CV]Structured Binary Neural Networks for Image Recognition
    Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid
    http://arxiv.org/abs/1909.09934v1

    • [cs.CV]Tag-based Semantic Features for Scene Image Classification
    Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
    http://arxiv.org/abs/1909.09999v1

    • [cs.CV]To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
    Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell
    http://arxiv.org/abs/1909.09945v1

    • [cs.CV]Validation of image-guided cochlear implant programming techniques
    Yiyuan Zhao, Jianing Wang, Rui Li, Robert F. Labadie, Benoit M. Dawant, Jack H. Noble
    http://arxiv.org/abs/1909.10137v1

    • [cs.CV]Variational Conditional GAN for Fine-grained Controllable Image Generation
    Mingqi Hu, Deyu Zhou, Yulan He
    http://arxiv.org/abs/1909.09979v1

    • [cs.CV]Visual Odometry Revisited: What Should Be Learnt?
    Huangying Zhan, Chamara Saroj Weerasekera, Jiawang Bian, Ian Reid
    http://arxiv.org/abs/1909.09803v1

    • [cs.CV]Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning
    Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-cheng Tai
    http://arxiv.org/abs/1909.09931v1

    • [cs.CV]Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning
    Tanzila Rahman, Bicheng Xu, Leonid Sigal
    http://arxiv.org/abs/1909.09944v1

    • [cs.CV]Where to Look Next: Unsupervised Active Visual Exploration on 360° Input
    Soroush Seifi, Tinne Tuytelaars
    http://arxiv.org/abs/1909.10304v1

    • [cs.CV]WiCV 2019: The Sixth Women In Computer Vision Workshop
    Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador
    http://arxiv.org/abs/1909.10225v1

    • [cs.CV]mlVIRNET: Multilevel Variational Image Registration Network
    Alessa Hering, Bram van Ginneken, Stefan Heldmann
    http://arxiv.org/abs/1909.10084v1

    • [cs.CY]Can WhatsApp Counter Misinformation by Limiting Message Forwarding?
    Philipe de Freitas Melo, Carolina Coimbra Vieira, Kiran Garimella, Pedro O. S. Vaz de Melo, Fabrício Benevenuto
    http://arxiv.org/abs/1909.08740v2

    • [cs.CY]LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai
    Deepank Verma, Arnab Jana
    http://arxiv.org/abs/1909.09774v1

    • [cs.CY]Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines
    Binil Starly, Atin Angrish, Paul Cohen
    http://arxiv.org/abs/1909.10476v1

    • [cs.DC]A Lightweight Blockchain-based Privacy Protection for Smart Surveillance at the Edge
    Alem Fitwi, Yu Chen, Sencun Zhu
    http://arxiv.org/abs/1909.09845v1

    • [cs.DC]Blocking and sparsity for optimization of convolution calculation algorithm on GPUs
    Weizhi Xu, Shengyu Fan, Tiantian Wang, Yufeng Zhou
    http://arxiv.org/abs/1909.09927v1

    • [cs.DC]Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud
    Dongwei Li, Shuliang Wang, Nan Gao, Qiang He, Yun Yang
    http://arxiv.org/abs/1909.10000v1

    • [cs.DC]Gene-Patterns: Should Architecture be Customized for Each Application?
    Yuhang Liu, Luming Wang, Mingyu Chen, Yungang Bao, Yang Wang, Xiang Li
    http://arxiv.org/abs/1909.09765v1

    • [cs.DC]IBFT 2.0: A Safe and Live Variation of the IBFT Blockchain Consensus Protocol for Eventually Synchronous Networks
    Roberto Saltini, David Hyland-Wood
    http://arxiv.org/abs/1909.10194v1

    • [cs.DC]Machine Learning Pipelines with Modern Big DataTools for High Energy Physics
    Matteo Migliorini, Riccardo Castellotti, Luca Canali, Marco Zanetti
    http://arxiv.org/abs/1909.10389v1

    • [cs.DC]Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid
    Abhinav Aggarwal, Shivam Kakkar, Pawan Kumar
    http://arxiv.org/abs/1909.09771v1

    • [cs.DC]Randomized Gathering of Asynchronous Mobile Robots
    Debasish Pattanayak, John Augustine, Partha Sarathi Mandal
    http://arxiv.org/abs/1909.10004v1

    • [cs.DS]Sliding window property testing for regular languages
    Moses Ganardi, Danny Hucke, Markus Lohrey, Tatiana Starikovskaya
    http://arxiv.org/abs/1909.10261v1

    • [cs.HC]Deep Multi-Facial patches Aggregation Network for Expression Classification from Face Images
    Amine Djerghri, Ahmed Rachid Hazourli, Alice Othmani
    http://arxiv.org/abs/1909.10305v1

    • [cs.IR]NewsDeps: Visualizing the Origin of Information in News Articles
    Felix Hamborg, Philipp Meschenmoser, Moritz Schubotz, Bela Gipp
    http://arxiv.org/abs/1909.10266v1

    • [cs.IT]Cross-Complementary Pairs for Optimal Training in Spatial Modulation over Frequency Selective Channels
    Zilong Liu, Ping Yang, Yong Liang Guan, Pei Xiao
    http://arxiv.org/abs/1909.10206v1

    • [cs.IT]Entanglement-Assisted Capacity of Quantum Channels with Side Information
    Uzi Pereg
    http://arxiv.org/abs/1909.09992v1

    • [cs.IT]Explicit and Efficient Constructions of Coding Schemes for the Binary Deletion Channel and the Poisson Repeat Channel
    Roni Con, Amir Shpilka
    http://arxiv.org/abs/1909.10177v1

    • [cs.IT]Graph Signal Processing — Part II: Processing and Analyzing Signals on Graphs
    Ljubisa Stankovic, Danilo Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Anthony G. Constantinides
    http://arxiv.org/abs/1909.10325v1

    • [cs.IT]Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation
    Junmo Sung, Brian L. Evans
    http://arxiv.org/abs/1909.09861v1

    • [cs.IT]Low-PAPR Preamble Design for FBMC Systems
    Zilong Liu, Pei Xiao, Su Hu
    http://arxiv.org/abs/1909.10205v1

    • [cs.IT]New Sets of Optimal Odd-length Binary Z-Complementary Pairs
    Avik Ranjan Adhikary, Sudhan Majhi, Zilong Liu, Yong Liang Guan
    http://arxiv.org/abs/1909.10204v1

    • [cs.IT]Private Information Retrieval from MDS Array Codes with (Near-) Optimal Repair Bandwidth
    Jie Li, David Karpuk, Camilla Hollanti
    http://arxiv.org/abs/1909.10289v1

    • [cs.IT]Subpacketization in Coded Caching with Demand Privacy
    Aravind V R, Pradeep Sarvepalli, Andrew Thangaraj
    http://arxiv.org/abs/1909.10471v1

    • [cs.IT]Versatile Compressive mmWave Hybrid Beamformer Codebook Design Framework
    Junmo Sung, Brian L. Evans
    http://arxiv.org/abs/1909.09858v1

    • [cs.LG]A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
    Hossein K. Mousavi, Guangyi Liu, Weihang Yuan, Martin Takáč, Héctor Muñoz-Avila, Nader Motee
    http://arxiv.org/abs/1909.09705v1

    • [cs.LG]An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
    Arit Kumar Bishwas, Ashish Mani, Vasile Palade
    http://arxiv.org/abs/1909.09852v1

    • [cs.LG]Analyzing Recurrent Neural Network by Probabilistic Abstraction
    Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong
    http://arxiv.org/abs/1909.10023v1

    • [cs.LG]Class-dependent Compression of Deep Neural Networks
    Rahim Entezari, Olga Saukh
    http://arxiv.org/abs/1909.10364v1

    • [cs.LG]Classification in asymmetric spaces via sample compression
    Lee-Ad Gottlieb, Shira Ozeri
    http://arxiv.org/abs/1909.09969v1

    • [cs.LG]Deep Message Passing on Sets
    Yifeng Shi, Junier Oliva, Marc Niethammer
    http://arxiv.org/abs/1909.09877v1

    • [cs.LG]Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
    Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen Pilly, Andrea Soltoggio
    http://arxiv.org/abs/1909.09902v1

    • [cs.LG]Deep Universal Graph Embedding Neural Network
    Saurabh Verma, Zhi-Li Zhang
    http://arxiv.org/abs/1909.10086v1

    • [cs.LG]Do Compressed Representations Generalize Better?
    Hassan Hafez-Kolahi, Shohreh Kasaei, Mahdiyeh Soleymani-Baghshah
    http://arxiv.org/abs/1909.09706v1

    • [cs.LG]Heterogeneous Graph Convolutional Networks for Temporal Community Detection
    Yaping Zheng, Shiyi Chen, Xiaofeng Zhang, Di Wang
    http://arxiv.org/abs/1909.10248v1

    • [cs.LG]Improving Generative Visual Dialog by Answering Diverse Questions
    Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das
    http://arxiv.org/abs/1909.10470v1

    • [cs.LG]Learning an Adaptive Learning Rate Schedule
    Zhen Xu, Andrew M. Dai, Jonas Kemp, Luke Metz
    http://arxiv.org/abs/1909.09712v1

    • [cs.LG]LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks
    Cedric Oeldorf, Gerasimos Spanakis
    http://arxiv.org/abs/1909.09974v1

    • [cs.LG]MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
    Shashi M. Aithal, Prasanna Balaprakash
    http://arxiv.org/abs/1909.09929v1

    • [cs.LG]Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
    Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes
    http://arxiv.org/abs/1909.09978v1

    • [cs.LG]Model-Agnostic Linear Competitors — When Interpretable Models Compete and Collaborate with Black-Box Models
    Hassan Rafique, Tong Wang, Qihang Lin
    http://arxiv.org/abs/1909.10467v1

    • [cs.LG]Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
    João Ribeiro, Francisco S. Melo, João Dias
    http://arxiv.org/abs/1909.10008v1

    • [cs.LG]On Model Stability as a Function of Random Seed
    Pranava Madhyastha, Rishabh Jain
    http://arxiv.org/abs/1909.10447v1

    • [cs.LG]On the Importance of Delexicalization for Fact Verification
    Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu
    http://arxiv.org/abs/1909.09868v1

    • [cs.LG]Online Hierarchical Clustering Approximations
    Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao, Sanjiv Kumar
    http://arxiv.org/abs/1909.09667v1

    • [cs.LG]PAC Reinforcement Learning without Real-World Feedback
    Yuren Zhong, Aniket Anand Deshmukh, Clayton Scott
    http://arxiv.org/abs/1909.10449v1

    • [cs.LG]Positive-Unlabeled Compression on the Cloud
    Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
    http://arxiv.org/abs/1909.09757v1

    • [cs.LG]Scalable Kernel Learning via the Discriminant Information
    Mert Al, Zejiang Hou, Sun-Yuan Kung
    http://arxiv.org/abs/1909.10432v1

    • [cs.LG]Scale MLPerf-0.6 models on Google TPU-v3 Pods
    Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou
    http://arxiv.org/abs/1909.09756v1

    • [cs.LG]Single Class Universum-SVM
    Sauptik Dhar, Vladimir Cherkassky
    http://arxiv.org/abs/1909.09862v1

    • [cs.LG]Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
    Rhiannon Michelmore, Matthew Wicker, Luca Laurenti, Luca Cardelli, Yarin Gal, Marta Kwiatkowska
    http://arxiv.org/abs/1909.09884v1

    • [cs.LG]Understanding and Robustifying Differentiable Architecture Search
    Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, Frank Hutter
    http://arxiv.org/abs/1909.09656v1

    • [cs.LG]Using theoretical ROC curves for analysing machine learning binary classifiers
    Luma Omar, Ioannis Ivrissimtzis
    http://arxiv.org/abs/1909.09816v1

    • [cs.LG]Verified Uncertainty Calibration
    Ananya Kumar, Percy Liang, Tengyu Ma
    http://arxiv.org/abs/1909.10155v1

    • [cs.MA]Multiagent Evaluation under Incomplete Information
    Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Perolat, Michal Valko, Georgios Piliouras, Remi Munos
    http://arxiv.org/abs/1909.09849v1

    • [cs.MM]sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos
    Mukesh Saini, Benjamin Guthier, Hao Kuang, Dwarikanath Mahapatra, Abdulmotaleb El Saddik
    http://arxiv.org/abs/1909.10164v1

    • [cs.NE]AHA! an ‘Artificial Hippocampal Algorithm’ for Episodic Machine Learning
    Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
    http://arxiv.org/abs/1909.10340v1

    • [cs.NE]An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution
    Travis J. Desell, AbdElRahman A. ElSaid, Alexander G. Ororbia
    http://arxiv.org/abs/1909.09502v2

    • [cs.NI]5G: Agent for Further Digital Disruptive Transformations
    Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang
    http://arxiv.org/abs/1909.10152v1

    • [cs.NI]Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
    Rahif Kassab, Osvaldo Simeone, Andrea Munari, Federico Clazzer
    http://arxiv.org/abs/1909.10283v1

    • [cs.RO]An Adversarial Approach to Private Flocking in Mobile Robot Teams
    Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
    http://arxiv.org/abs/1909.10387v1

    • [cs.RO]Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance
    Jacopo Panerati, Benjamin Ramtoula, David St-Onge, Yanjun Cao, Marcel Kaufmann, Aidan Cowley, Lorenzo Sabattini, Giovanni Beltrame
    http://arxiv.org/abs/1909.10378v1

    • [cs.RO]Formal Connections between Template and Anchor Models via Approximate Simulation
    Vince Kurtz, Rafael Rodrigues da Silva, Patrick M. Wensing, Hai Lin
    http://arxiv.org/abs/1909.09693v1

    • [cs.RO]Human Position Detection & Tracking with On-robot Time-of-Flight Laser Ranging Sensors
    Sarthak Arora, Shitij Kumar, Ferat Sahin
    http://arxiv.org/abs/1909.09750v1

    • [cs.RO]Improving CNN-based Planar Object Detection with Geometric Prior Knowledge
    Jianxiong Cai, Hongyu Chen, Laurent Kneip, Sören Schwertfeger
    http://arxiv.org/abs/1909.10245v1

    • [cs.RO]In-hand Sliding Regrasp with Spring-Sliding Compliance
    Jian Shi, Kevin M. Lynch
    http://arxiv.org/abs/1909.10034v1

    • [cs.RO]Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators
    Ethan Fahnestock, Siddharth Patki, Thomas M. Howard
    http://arxiv.org/abs/1909.09880v1

    • [cs.RO]Learning a Control Policy for Fall Prevention on an Assistive Walking Device
    Visak C V Kumar, Sehoon Ha, Gergory Sawicki, C. Karen Liu
    http://arxiv.org/abs/1909.10488v1

    • [cs.RO]Modular Pipe Climber
    Rama Vadapalli, Kartik Suryavanshi, Ruchita Vucha, Abhishek Sarkar, K Madhava Krishna
    http://arxiv.org/abs/1909.10195v1

    • [cs.RO]Omnidirectional Tractable Three Module Robot
    Kartik Suryavanshi, Rama Vadapalli, Ruchitha Vucha, Abhishek Sarkar, K Madhava Krishna
    http://arxiv.org/abs/1909.10277v1

    • [cs.RO]Online DCM Trajectory Generation for Push Recovery of Torque-Controlled Humanoid Robots
    Milad Shafiee, Giulio Romualdi, Stefano Dafarra, Francisco Javier Andrade Chavez, Daniele Pucci
    http://arxiv.org/abs/1909.10403v1

    • [cs.RO]Optimal Motion Planning for Multi-Modal Hybrid Locomotion
    H. J. Terry Suh, Xiaobin Xiong, Andrew Singletary, Aaron D. Ames, Joel W. Burdick
    http://arxiv.org/abs/1909.10209v1

    • [cs.RO]Optimal Reduced-order Modeling of Bipedal Locomotion
    Yu-Ming Chen, Michael Posa
    http://arxiv.org/abs/1909.10111v1

    • [cs.RO]Path Planning Tolerant to Degraded Locomotion Conditions
    Xiaoling Long, Sören Schwertfeger
    http://arxiv.org/abs/1909.10180v1

    • [cs.RO]Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data
    Chen Chen, Xin Jiang, Weiguo Zhou, Yun-Hui Liu
    http://arxiv.org/abs/1909.10270v1

    • [cs.RO]Revisiting the Asymptotic Optimality of RRT*
    Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone
    http://arxiv.org/abs/1909.09688v1

    • [cs.RO]Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
    Yuying Chen, Congcong Liu, Ming Liu, Bertram E. Shi
    http://arxiv.org/abs/1909.10400v1

    • [cs.RO]Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
    Renhao Wang, Adam Scibior, Frank Wood
    http://arxiv.org/abs/1909.09721v1

    • [cs.RO]Self-Healing Ground-and-Air Connectivity Chains
    Vivek Shankar Varadharajan, David St-Onge, Bram Adams, Giovanni Beltrame
    http://arxiv.org/abs/1909.10496v1

    • [cs.RO]Self-supervised 6D Object Pose Estimation for Robot Manipulation
    Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox
    http://arxiv.org/abs/1909.10159v1

    • [cs.RO]String Diagrams for Assembly Planning
    Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo
    http://arxiv.org/abs/1909.10475v1

    • [cs.RO]Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter
    Tommaso Lisini Baldi, Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Domenico Prattichizzo
    http://arxiv.org/abs/1909.10376v1

    • [cs.RO]Whole-Body Geometric Retargeting for Humanoid Robots
    Kourosh Darvish, Yeshasvi Tirupachuri, Giulio Romualdi, Lorenzo Rapetti, Diego Ferigo, Francisco Javier Andrade Chavez, Daniele Pucci
    http://arxiv.org/abs/1909.10080v1

    • [cs.SD]CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
    Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Amir Hussain
    http://arxiv.org/abs/1909.10407v1

    • [cs.SE]Formalism for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts
    Chunhui Guo, Zhicheng Fu, Zhenyu Zhang, Shangping Ren, Lui Sha
    http://arxiv.org/abs/1909.10493v1

    • [cs.SI]A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation
    Jeancarlo Campos Leão, Alberto H. F. Laender, Pedro O. S. Vaz de Melo
    http://arxiv.org/abs/1909.09903v1

    • [cs.SI]A Probabilistic Graph Model for Trust Opinion Estimation in Online Social Networks
    Luke Liu, Qing Yang
    http://arxiv.org/abs/1909.10055v1

    • [cs.SI]Community Detection and Improved Detectability in Multiplex Networks
    Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai
    http://arxiv.org/abs/1909.10477v1

    • [cs.SI]Embedding-based Qualitative Analysis of Polarization in Turkey
    Mucahid Kutlu, Kareem Darwish, Cansin Bayrak, Ammar Rashed, Tamer Elsayed
    http://arxiv.org/abs/1909.10213v1

    • [cs.SI]Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly
    Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
    http://arxiv.org/abs/1909.10005v1

    • [cs.SI]Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility
    Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy
    http://arxiv.org/abs/1909.09908v1

    • [cs.SI]Predicting consumers engagement on Facebook based on what and how companies write
    Érika S. Rosas-Quezada, Gabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello
    http://arxiv.org/abs/1909.09914v1

    • [cs.SI]Trust Assessment in Online Social Networks
    Guangchi Liu, Qing Yang, Honggang Wang, Alex X. Liu
    http://arxiv.org/abs/1909.10066v1

    • [eess.IV]Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
    Yuyu Guo
    http://arxiv.org/abs/1909.10169v1

    • [eess.SP]Deep learning approach to control of prosthetic hands with electromyography signals
    Mohsen Jafarzadeh, Daniel Curtiss Hussey, Yonas Tadesse
    http://arxiv.org/abs/1909.09910v1

    • [eess.SP]Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks
    Jiaqi Zhang, Keyou You, Kai Cai
    http://arxiv.org/abs/1909.09937v1

    • [eess.SP]Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing
    Liangyuan Xu, Feifei Gao, Cheng Qian
    http://arxiv.org/abs/1909.10114v1

    • [eess.SY]Constrained Attractor Selection Using Deep Reinforcement Learning
    Xue-She Wang, James D. Turner, Brian P. Mann
    http://arxiv.org/abs/1909.10500v1

    • [eess.SY]Controller Synthesis for Multi-Agent Systems With Intermittent Communication: A Metric Temporal Logic Approach
    Zhe Xu, Federico M. Zegers, Bo Wu, Warren Dixon, Ufuk Topcu
    http://arxiv.org/abs/1909.09939v1

    • [eess.SY]Flying batteries: In-flight battery switching to increase multirotor flight time
    Karan P. Jain, Mark W. Mueller
    http://arxiv.org/abs/1909.10091v1

    • [eess.SY]Sequential Dynamic Resource Allocation for Epidemic Control
    Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
    http://arxiv.org/abs/1909.09678v1

    • [math.CO]Whitney Numbers of Combinatorial Geometries and Higher-Weight Dowling Lattices
    Alberto Ravagnani
    http://arxiv.org/abs/1909.10249v1

    • [math.NA]PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds
    Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
    http://arxiv.org/abs/1909.10221v1

    • [math.NA]Strapdown Attitude Computation: Functional Iterative Integration versus Taylor Series Expansion
    Yuanxin Wu, Yury A. Litmanovich
    http://arxiv.org/abs/1909.09935v1

    • [math.OC]A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing
    Lorenzo Federici, Alessandro Zavoli, Guido Colasurdo
    http://arxiv.org/abs/1909.10427v1

    • [math.OC]Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning
    Jérôme Bolte, Edouard Pauwels
    http://arxiv.org/abs/1909.10300v1

    • [math.OC]Decentralized Markov Chain Gradient Descent
    Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li
    http://arxiv.org/abs/1909.10238v1

    • [math.OC]Efficient Learning of Distributed Linear-Quadratic Controllers
    Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
    http://arxiv.org/abs/1909.09895v1

    • [math.OC]Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods
    Daniel Levy, John C. Duchi
    http://arxiv.org/abs/1909.10455v1

    • [math.PR]On the Whittle estimator for linear random noise spectral density parameter in continuous-time nonlinear regression models
    A. V. Ivanov, N. N. Leonenko, I. V. Orlovskyi
    http://arxiv.org/abs/1909.10457v1

    • [math.PR]Time Series, Persistent Homology and Chirality
    Yuliy Baryshnikov
    http://arxiv.org/abs/1909.09846v1

    • [math.PR]Universal Lossless Compression of Graphical Data
    Payam Delgosha, Venkat Anantharam
    http://arxiv.org/abs/1909.09844v1

    • [math.ST]A new coefficient of correlation
    Sourav Chatterjee
    http://arxiv.org/abs/1909.10140v1

    • [math.ST]Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates
    Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler
    http://arxiv.org/abs/1909.10279v1

    • [math.ST]Bayesian Inference on Multivariate Medians and Quantiles
    Indrabati Bhattacharya, Subhashis Ghosal
    http://arxiv.org/abs/1909.10110v1

    • [math.ST]Computing the degrees of freedom of rank-regularized estimators and cousins
    Rahul Mazumder, Haolei Weng
    http://arxiv.org/abs/1909.10143v1

    • [math.ST]Dimension reduction in spatial regression with kernel SAVE method
    Mètolidji Moquilas Raymond Affossogbe, Guy Martial Nkiet, Carlos Ogouyandjou
    http://arxiv.org/abs/1909.09996v1

    • [math.ST]Distribution-free consistent independence tests via Hallin’s multivariate rank
    Hongjian Shi, Mathias Drton, Fang Han
    http://arxiv.org/abs/1909.10024v1

    • [math.ST]On uniform continuity of posterior distributions
    Emanuele Dolera, Edoardo Mainini
    http://arxiv.org/abs/1909.10197v1

    • [math.ST]PAC-Bayesian Bounds for Deep Gaussian Processes
    Roman Föll, Ingo Steinwart
    http://arxiv.org/abs/1909.09985v1

    • [math.ST]Probabilistic Fitting of Topological Structure to Data
    James T. Griffin
    http://arxiv.org/abs/1909.10047v1

    • [math.ST]Quantile LASSO with changepoints in panel data models applied to option pricing
    Matúš Maciak
    http://arxiv.org/abs/1909.10271v1

    • [math.ST]Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
    T. Tony Cai, Anru Zhang, Yuchen Zhou
    http://arxiv.org/abs/1909.09851v1

    • [physics.comp-ph]PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
    Xuhui Meng, Zhen Li, Dongkun Zhang, George Em Karniadakis
    http://arxiv.org/abs/1909.10145v1

    • [physics.comp-ph]Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
    Mohammad Javad Eslamibidgoli, Mehrdad Mokhtari, Michael H. Eikerling
    http://arxiv.org/abs/1909.10124v1

    • [physics.soc-ph]Differences in structure and dynamics of networks retrieved from dark and public web forums
    Maryam Zamani, Fereshteh Rabbani, Attila Horicsányi, Anna Zafeiris, Tamas Vicsek
    http://arxiv.org/abs/1909.10259v1

    • [physics.soc-ph]Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks
    Jiahao Guo, Pramesh Singh, Kevin E. Bassler
    http://arxiv.org/abs/1909.10491v1

    • [physics.soc-ph]Sensitivity of collective outcomes identifies pivotal components
    Edward D. Lee, Daniel M. Katz, Michael J. Bommarito II, Paul Ginsparg
    http://arxiv.org/abs/1909.10117v1

    • [q-fin.PM]Machine Learning Optimization Algorithms & Portfolio Allocation
    Sarah Perrin, Thierry Roncalli
    http://arxiv.org/abs/1909.10233v1

    • [stat.AP]IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses
    Zhigang Li, Lu Tian, A. James O’Malley, Margaret R. Karagas, Anne G. Hoen, Brock C. Christensen, Juliette C. Madan, Quran Wu, Raad Z. Gharaibeh, Christian Jobin, Hongzhe Li
    http://arxiv.org/abs/1909.10101v1

    • [stat.AP]Outlier-Detection Based Robust Information Fusion for Networked Systems
    Hongwei Wang, Hongbin Li, Wei Zhang, Junyi Zuo, Heping Wang, Jun Fang
    http://arxiv.org/abs/1909.10006v1

    • [stat.AP]Robust Inference for Skewed data in Health Sciences
    Amarnath Nandy, Ayanendranath Basu, Abhik Ghosh
    http://arxiv.org/abs/1909.10285v1

    • [stat.AP]What do adoption patterns of solar panels observed so far tell about governments’ incentive? insight from diffusion models
    Anita M. Bunea, Pietro Manfredi, Pompeo Della Posta, Mariangela Guidolin
    http://arxiv.org/abs/1909.10017v1

    • [stat.ME]DECoVaC: Design of Experiments with Controlled Variability Components
    Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris Oreshkin, Julien Cornebise
    http://arxiv.org/abs/1909.09859v1

    • [stat.ME]Improve Orthogonal GARCH with Hidden Markov Model
    Yufan Li
    http://arxiv.org/abs/1909.10108v1

    • [stat.ME]Meaningful causal decompositions in health equity research: definition, identification, and estimation through a weighting framework
    John W. Jackson
    http://arxiv.org/abs/1909.10060v1

    • [stat.ME]Semantic and Cognitive Tools to Aid Statistical Inference: Replace Confidence and Significance by Compatibility and Surprise
    Zad R. Chow, Sander Greenland
    http://arxiv.org/abs/1909.08579v3

    • [stat.ME]The Locally Gaussian Partial Correlation
    Håkon Otneim, Dag Tjøstheim
    http://arxiv.org/abs/1909.09681v1

    • [stat.ME]To Aid Statistical Inference, Emphasize Unconditional Descriptions of Statistics
    Sander Greenland, Zad R. Chow
    http://arxiv.org/abs/1909.08583v3

    • [stat.ML]A generalization of regularized dual averaging and its dynamics
    Shih-Kang Chao, Guang Cheng
    http://arxiv.org/abs/1909.10072v1

    • [stat.ML]ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks
    Beyrem Khalfaoui, Joseph Boyd, Jean-Philippe Vert
    http://arxiv.org/abs/1909.09819v1

    • [stat.ML]Inference of modes for linear stochastic processes
    Robert S. MacKay
    http://arxiv.org/abs/1909.10247v1

    • [stat.ML]Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
    Boris Knyazev, Carolyn Augusta, Graham W. Taylor
    http://arxiv.org/abs/1909.10367v1

    • [stat.ML]Manifold Fitting under Unbounded Noise
    Zhigang Yao, Yuqing Xia
    http://arxiv.org/abs/1909.10228v1

    • [stat.ML]Optimal query complexity for private sequential learning
    Jiaming Xu, Dana Yang
    http://arxiv.org/abs/1909.09836v1

    • [stat.ML]Particle Smoothing Variational Objectives
    Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe’er
    http://arxiv.org/abs/1909.09734v1

    • [stat.ML]Using Statistics to Automate Stochastic Optimization
    Hunter Lang, Pengchuan Zhang, Lin Xiao
    http://arxiv.org/abs/1909.09785v1