cond-mat.stat-mech - 统计数学

    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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 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.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 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.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Entropy from Machine Learning
    • [cs.AI]Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City
    • [cs.AI]Compiling Stochastic Constraint Programs to And-Or Decision Diagrams
    • [cs.AI]Data Interpretation Support in Rescue Operations: Application for French Firefighters
    • [cs.AI]Demystifying active inference
    • [cs.AI]Inducing Hypernym Relationships Based On Order Theory
    • [cs.AI]Interpretable Models of Human Interaction in Immersive Simulation Settings
    • [cs.AI]Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
    • [cs.AI]On Weighted Envy-Freeness in Indivisible Item Allocation
    • [cs.AI]Talk2Car: Taking Control of Your Self-Driving Car
    • [cs.CL]An Empirical Study of Content Understanding in Conversational Question Answering
    • [cs.CL]Application of Fuzzy Clustering for Text Data Dimensionality Reduction
    • [cs.CL]Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings
    • [cs.CL]Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English
    • [cs.CL]Cross-Lingual Natural Language Generation via Pre-Training
    • [cs.CL]Data Ordering Patterns for Neural Machine Translation: An Empirical Study
    • [cs.CL]Deep Text Mining of Instagram Data Without Strong Supervision
    • [cs.CL]Do Massively Pretrained Language Models Make Better Storytellers?
    • [cs.CL]In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
    • [cs.CL]Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
    • [cs.CL]Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
    • [cs.CL]Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding
    • [cs.CL]LitGen: Genetic Literature Recommendation Guided by Human Explanations
    • [cs.CL]Multi-stage Pretraining for Abstractive Summarization
    • [cs.CL]Neural Generative Rhetorical Structure Parsing
    • [cs.CL]Paying Attention to Function Words
    • [cs.CL]Portuguese Named Entity Recognition using BERT-CRF
    • [cs.CL]Situating Sentence Embedders with Nearest Neighbor Overlap
    • [cs.CL]Technical report on Conversational Question Answering
    • [cs.CL]TinyBERT: Distilling BERT for Natural Language Understanding
    • [cs.CL]Transfer Learning across Languages from Someone Else’s NMT Model
    • [cs.CL]TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
    • [cs.CL]Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
    • [cs.CR]MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
    • [cs.CR]Suspicious Transactions in Smart Spaces
    • [cs.CR]Towards the Uses of Blockchain in Mobile Health Services and Applications: A Survey
    • [cs.CV]A System-Level Solution for Low-Power Object Detection
    • [cs.CV]Augmented Memory for Correlation Filters in Real-Time UAV Tracking
    • [cs.CV]COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference
    • [cs.CV]Deep Convolutions for In-Depth Automated Rock Typing
    • [cs.CV]Deep Mangoes: from fruit detection to cultivar identification in colour images of mango trees
    • [cs.CV]Direct training based spiking convolutional neural networks for object recognition
    • [cs.CV]Distortion Estimation Through Explicit Modeling of the Refractive Surface
    • [cs.CV]Enhancing Traffic Scene Predictions with Generative Adversarial Networks
    • [cs.CV]FEED: Feature-level Ensemble for Knowledge Distillation
    • [cs.CV]Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms
    • [cs.CV]IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks
    • [cs.CV]Image Recognition using Region Creep
    • [cs.CV]Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
    • [cs.CV]Learning deep representations for video-based intake gesture detection
    • [cs.CV]Model-Based and Data-Driven Strategies in Medical Image Computing
    • [cs.CV]Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
    • [cs.CV]Multi-Person 3D Human Pose Estimation from Monocular Images
    • [cs.CV]Object-Contextual Representations for Semantic Segmentation
    • [cs.CV]On the Convergence of ADMM with Task Adaption and Beyond
    • [cs.CV]PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain
    • [cs.CV]Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach
    • [cs.CV]Relational Learning for Joint Head and Human Detection
    • [cs.CV]Restyling Data: Application to Unsupervised Domain Adaptation
    • [cs.CV]Single Camera Training for Person Re-identification
    • [cs.CV]Synthetic dataset generation for object-to-model deep learning in industrial applications
    • [cs.CV]Unified Vision-Language Pre-Training for Image Captioning and VQA
    • [cs.DB]A Rule-Based Relational XML Access Control Model in the Presence of Authorization Conflicts
    • [cs.DC]A high-level characterisation and generalisation of communication-avoiding programming techniques
    • [cs.DC]Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
    • [cs.DC]Microchain: A Hybrid Consensus Mechanism for Lightweight Distributed Ledger for IoT
    • [cs.DC]Process migration-based computational offloading framework for IoT-supported mobile edge/cloud computing
    • [cs.DL]Recognizing Topic Change in Search Sessions of Digital Libraries based on Thesaurus and Classification System
    • [cs.DS]Analysis of a Model for Generating Weakly Scale-free Networks
    • [cs.DS]Optimal Learning of Joint Alignments with a Faulty Oracle
    • [cs.DS]The space complexity of inner product filters
    • [cs.GT]It’s Not Whom You Know, It’s What You (or Your Friends) Can Do: Succint Coalitional Frameworks for Network Centralities
    • [cs.HC]Oldie is Goodie: Effective User Retention by In-game Promotion Event Analysis
    • [cs.HC]Visualization and Travel Time Extraction System for the Statistics of TDCS Travel using MapReduce Framework
    • [cs.IR]Improving Collaborative Metric Learning with Efficient Negative Sampling
    • [cs.IT]Application of the Method of Conditional Expectations for Reduction of PAPR and Cubic Metric of OFDM Signals
    • [cs.IT]Bit-level Optimized Neural Network for Multi-antenna Channel Quantization
    • [cs.IT]Error Decoding of Locally Repairable and Partial MDS Codes
    • [cs.IT]Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint
    • [cs.IT]Optimally Resilient Codes for List-Decoding from Insertions and Deletions
    • [cs.IT]Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches
    • [cs.LG]A Neural Network Based Method to Solve Boundary Value Problems
    • [cs.LG]AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
    • [cs.LG]Compiler-Level Matrix Multiplication Optimization for Deep Learning
    • [cs.LG]Constrained deep neural network architecture search for IoT devices accounting hardware calibration
    • [cs.LG]Dimension Estimation Using Autoencoders
    • [cs.LG]Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
    • [cs.LG]Gap Aware Mitigation of Gradient Staleness
    • [cs.LG]Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks
    • [cs.LG]HAWKEYE: Adversarial Example Detector for Deep Neural Networks
    • [cs.LG]IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
    • [cs.LG]Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
    • [cs.LG]Jointly Learning to Detect Emotions and Predict Facebook Reactions
    • [cs.LG]Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning
    • [cs.LG]Monotonic Trends in Deep Neural Networks
    • [cs.LG]PAC Reinforcement Learning without Real-World Feedback
    • [cs.LG]Recurrent Independent Mechanisms
    • [cs.LG]Reservoir Topology in Deep Echo State Networks
    • [cs.LG]Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
    • [cs.LG]Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
    • [cs.LG]Understanding and Improving One-shot Neural Architecture Optimization
    • [cs.LG]WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
    • [cs.LG]Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
    • [cs.LG]dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
    • [cs.LO]Learning definable hypotheses on trees
    • [cs.NI]Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
    • [cs.RO]Building a Library of Tactile Skills Based on FingerVision
    • [cs.RO]Continuous Collision Detection for a Robotic Arm Mounted on a Cable-Driven Parallel Robot
    • [cs.RO]Controlling Assistive Robots with Learned Latent Actions
    • [cs.RO]Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints
    • [cs.RO]Invariant Transform Experience Replay
    • [cs.RO]Mine Tunnel Exploration using Multiple Quadrupedal Robots
    • [cs.RO]Multi-agent Interactive Prediction under Challenging Driving Scenarios
    • [cs.RO]Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
    • [cs.RO]Software architecture for YOLO, a creativity-stimulating robot
    • [cs.RO]Tethered Tool Manipulation Planning with Cable Maneuvering
    • [cs.RO]The Field-of-View Constraint of Markers for Mobile Robot with Pan-Tilt Camera
    • [cs.RO]Towards S-NAMO: Socially-aware Navigation Among Movable Obstacles
    • [cs.RO]Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter
    • [cs.SE]An Exploratory Study of How Specialists Deal with Testing in Data Stream Processing Applications
    • [cs.SI]Temporal effects of Unmoderated Hate speech in Gab
    • [eess.AS]Understanding Semantics from Speech Through Pre-training
    • [eess.IV]Analysis of Generalized Entropies in Mutual Information Medical Image Registration
    • [eess.IV]Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
    • [eess.IV]Automatic techniques for cochlear implant CT image analysis
    • [eess.IV]LISR: Image Super-resolution under Hardware Constraints
    • [eess.IV]Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture
    • [eess.IV]Offline identification of surgical deviations in laparoscopic rectopexy
    • [eess.IV]s-LWSR: Super Lightweight Super-Resolution Network
    • [eess.SP]Phase Retrieval via Smooth Amplitude Flow
    • [eess.SP]Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs
    • [eess.SP]Wavelet invariants for statistically robust multi-reference alignment
    • [eess.SY]Informative Planning of Mobile Sensor Networks in GPS-Denied Environments
    • [hep-ph]Towards hardware acceleration for parton densities estimation
    • [math.DS]Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
    • [math.NA]Numerical evaluation of the transition probability of the simple birth-and-death process
    • [math.OC]Faster saddle-point optimization for solving large-scale Markov decision processes
    • [math.ST]Double-estimation-friendly inference for high-dimensional misspecified models
    • [math.ST]High-probability bounds for the reconstruction error of PCA
    • [math.ST]The Trimmed Mean in Non-parametric Regression Function Estimation
    • [math.ST]The column measure and Gradient-Free Gradient Boosting
    • [physics.comp-ph]Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
    • [physics.soc-ph]A data-driven model for Mass Media influence in electoral context
    • [physics.soc-ph]Bipartite networks describe R&D collaboration between institutions
    • [q-fin.ST]Implied volatility surface predictability: the case of commodity markets
    • [q-fin.ST]Structural Change Analysis of Active Cryptocurrency Market
    • [quant-ph]Quantum Inflation: A General Approach to Quantum Causal Compatibility
    • [stat.AP]Analyzing the National Football League is challenging, but player tracking data is here to help
    • [stat.AP]Efficient Estimation of the Left Tail of Bimodal Distributions with Applications to Underwater Optical Communication Systems
    • [stat.AP]Examining effects of green revolution led agricultural expansion on net ecosystem service values in India using multiple valuation approaches
    • [stat.AP]Topological Data Analysis (TDA) for Time Series
    • [stat.AP]Tuning parameter calibration for prediction in personalized medicine
    • [stat.ME]A Bayesian Approach to Directed Acyclic Graphs with a Candidate Graph
    • [stat.ME]Applicability and Interpretability of Hierarchical Agglomerative Clustering With or Without Contiguity Constraints
    • [stat.ME]Estimating Number of Factors by Adjusted Eigenvalues Thresholding
    • [stat.ME]High-dimensional clustering via Random Projections
    • [stat.ME]Intensity Estimation for Poisson Process with Compositional Noise
    • [stat.ME]On Variable Screening in Multiple Nonparametric Regression Model
    • [stat.ME]Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
    • [stat.ME]Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates
    • [stat.ML]A Theory of Uncertainty Variables for State Estimation and Inference
    • [stat.ML]Kalman Filtering with Gaussian Processes Measurement Noise

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    • [cond-mat.stat-mech]Entropy from Machine Learning
    Romuald A. Janik
    http://arxiv.org/abs/1909.10831v1

    • [cs.AI]Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City
    Shiwali Mohan, Hesham Rakha, Matthew Klenk
    http://arxiv.org/abs/1909.10614v1

    • [cs.AI]Compiling Stochastic Constraint Programs to And-Or Decision Diagrams
    Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant
    http://arxiv.org/abs/1909.10622v1

    • [cs.AI]Data Interpretation Support in Rescue Operations: Application for French Firefighters
    Samer Chehade, Nada Matta, Jean-Baptiste Pothin, Rémi Cogranne
    http://arxiv.org/abs/1909.10941v1

    • [cs.AI]Demystifying active inference
    Noor Sajid, Philip J. Ball, Karl J. Friston
    http://arxiv.org/abs/1909.10863v1

    • [cs.AI]Inducing Hypernym Relationships Based On Order Theory
    Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia
    http://arxiv.org/abs/1909.10572v1

    • [cs.AI]Interpretable Models of Human Interaction in Immersive Simulation Settings
    Nicholas Hoernle, Kobi Gal, Barbara Grosz, Leilah Lyons, Ada Ren, Andee Rubin
    http://arxiv.org/abs/1909.11025v1

    • [cs.AI]Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
    Heather Riley, Mohan Sridharan
    http://arxiv.org/abs/1909.10650v1

    • [cs.AI]On Weighted Envy-Freeness in Indivisible Item Allocation
    Mithun Chakraborty, Warut Suksompong, Yair Zick
    http://arxiv.org/abs/1909.10502v2

    • [cs.AI]Talk2Car: Taking Control of Your Self-Driving Car
    Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens
    http://arxiv.org/abs/1909.10838v1

    • [cs.CL]An Empirical Study of Content Understanding in Conversational Question Answering
    Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen
    http://arxiv.org/abs/1909.10743v1

    • [cs.CL]Application of Fuzzy Clustering for Text Data Dimensionality Reduction
    Amir Karami
    http://arxiv.org/abs/1909.10881v1

    • [cs.CL]Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings
    Ronald Denaux, Jose Manuel Gomez-Perez
    http://arxiv.org/abs/1909.11042v1

    • [cs.CL]Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English
    Injy Hamed, Moritz Zhu, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu
    http://arxiv.org/abs/1909.10892v1

    • [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/1909.10481v2

    • [cs.CL]Data Ordering Patterns for Neural Machine Translation: An Empirical Study
    Siddhant Garg
    http://arxiv.org/abs/1909.10642v1

    • [cs.CL]Deep Text Mining of Instagram Data Without Strong Supervision
    Kim Hammar, Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin
    http://arxiv.org/abs/1909.10812v1

    • [cs.CL]Do Massively Pretrained Language Models Make Better Storytellers?
    Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning
    http://arxiv.org/abs/1909.10705v1

    • [cs.CL]In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
    Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang
    http://arxiv.org/abs/1909.10852v1

    • [cs.CL]Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
    Peixiang Zhong, Di Wang, Chunyan Miao
    http://arxiv.org/abs/1909.10681v1

    • [cs.CL]Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
    Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
    http://arxiv.org/abs/1909.10911v1

    • [cs.CL]Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding
    Chao-Wei Huang, Yun-Nung Chen
    http://arxiv.org/abs/1909.10861v1

    • [cs.CL]LitGen: Genetic Literature Recommendation Guided by Human Explanations
    Allen Nie, Arturo L. Pineda, Matt W. Wright Hannah Wand, Bryan Wulf, Helio A. Costa, Ronak Y. Patel, Carlos D. Bustamante, James Zou
    http://arxiv.org/abs/1909.10699v1

    • [cs.CL]Multi-stage Pretraining for Abstractive Summarization
    Sebastian Goodman, Zhenzhong Lan, Radu Soricut
    http://arxiv.org/abs/1909.10599v1

    • [cs.CL]Neural Generative Rhetorical Structure Parsing
    Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos
    http://arxiv.org/abs/1909.11049v1

    • [cs.CL]Paying Attention to Function Words
    Shane Steinert-Threlkeld
    http://arxiv.org/abs/1909.11060v1

    • [cs.CL]Portuguese Named Entity Recognition using BERT-CRF
    Fábio Souza, Rodrigo Nogueira, Roberto Lotufo
    http://arxiv.org/abs/1909.10649v1

    • [cs.CL]Situating Sentence Embedders with Nearest Neighbor Overlap
    Lucy H. Lin, Noah A. Smith
    http://arxiv.org/abs/1909.10724v1

    • [cs.CL]Technical report on Conversational Question Answering
    Ying Ju, Fubang Zhao, Shijie Chen, Bowen Zheng, Xuefeng Yang, Yunfeng Liu
    http://arxiv.org/abs/1909.10772v1

    • [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/1909.10351v2

    • [cs.CL]Transfer Learning across Languages from Someone Else’s NMT Model
    Tom Kocmi, Ondřej Bojar
    http://arxiv.org/abs/1909.10955v1

    • [cs.CL]TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
    Wentao Ma, Yiming Cui, Nan Shao, Su He, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu
    http://arxiv.org/abs/1909.10666v1

    • [cs.CL]Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
    Grusha Prasad, Marten van Schijndel, Tal Linzen
    http://arxiv.org/abs/1909.10579v1

    • [cs.CR]MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
    Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
    http://arxiv.org/abs/1909.10594v1

    • [cs.CR]Suspicious Transactions in Smart Spaces
    Mayra Samaniego, Cristian Espana, Ralph Deters
    http://arxiv.org/abs/1909.10644v1

    • [cs.CR]Towards the Uses of Blockchain in Mobile Health Services and Applications: A Survey
    João Amaral Santos, Pedro R. M. Inácio, Bruno M. Silva
    http://arxiv.org/abs/1909.11013v1

    • [cs.CV]A System-Level Solution for Low-Power Object Detection
    Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng
    http://arxiv.org/abs/1909.10964v1

    • [cs.CV]Augmented Memory for Correlation Filters in Real-Time UAV Tracking
    Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Jia Pan
    http://arxiv.org/abs/1909.10989v1

    • [cs.CV]COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference
    Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim
    http://arxiv.org/abs/1909.11048v1

    • [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/1909.10227v2

    • [cs.CV]Deep Mangoes: from fruit detection to cultivar identification in colour images of mango trees
    Philippe Borianne, Frederic Borne, Julien Sarron, Emile Faye
    http://arxiv.org/abs/1909.10939v1

    • [cs.CV]Direct training based spiking convolutional neural networks for object recognition
    Shibo Zhou, Ying Chen, Qiang Ye, Jiangxi Li
    http://arxiv.org/abs/1909.10837v1

    • [cs.CV]Distortion Estimation Through Explicit Modeling of the Refractive Surface
    Szabolcs Pável, Csanád Sándor, Lehel Csató
    http://arxiv.org/abs/1909.10820v1

    • [cs.CV]Enhancing Traffic Scene Predictions with Generative Adversarial Networks
    Peter König, Sandra Aigner, Marco Körner
    http://arxiv.org/abs/1909.10833v1

    • [cs.CV]FEED: Feature-level Ensemble for Knowledge Distillation
    SeongUk Park, Nojun Kwak
    http://arxiv.org/abs/1909.10754v1

    • [cs.CV]Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms
    Min-Kook Choi, Jaehyung Park, Heechul Jung, Jinhee Lee, Soo-Heang Eo
    http://arxiv.org/abs/1909.10798v1

    • [cs.CV]IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks
    Haotong Qin, Ruihao Gong, Xianglong Liu, Ziran Wei, Fengwei Yu, Jingkuan Song
    http://arxiv.org/abs/1909.10788v1

    • [cs.CV]Image Recognition using Region Creep
    Kieran Greer
    http://arxiv.org/abs/1909.10811v1

    • [cs.CV]Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
    Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman
    http://arxiv.org/abs/1909.11081v1

    • [cs.CV]Learning deep representations for video-based intake gesture detection
    Philipp V. Rouast, Marc T. P. Adam
    http://arxiv.org/abs/1909.10695v1

    • [cs.CV]Model-Based and Data-Driven Strategies in Medical Image Computing
    Daniel Rueckert, Julia A. Schnabel
    http://arxiv.org/abs/1909.10391v2

    • [cs.CV]Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
    Chenchen Zhao, Yeqiang Qian, Ming Yang
    http://arxiv.org/abs/1909.10970v1

    • [cs.CV]Multi-Person 3D Human Pose Estimation from Monocular Images
    Rishabh Dabral, Nitesh B Gundavarapu, Rahul Mitra, Abhishek Sharma, Ganesh Ramakrishnan, Arjun Jain
    http://arxiv.org/abs/1909.10854v1

    • [cs.CV]Object-Contextual Representations for Semantic Segmentation
    Yuhui Yuan, Xilin Chen, Jingdong Wang
    http://arxiv.org/abs/1909.11065v1

    • [cs.CV]On the Convergence of ADMM with Task Adaption and Beyond
    Risheng Liu, Pan Mu, Jin Zhang
    http://arxiv.org/abs/1909.10819v1

    • [cs.CV]PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain
    Xiao Dongling, Liu Chang
    http://arxiv.org/abs/1909.10783v1

    • [cs.CV]Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach
    Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
    http://arxiv.org/abs/1909.11023v1

    • [cs.CV]Relational Learning for Joint Head and Human Detection
    Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
    http://arxiv.org/abs/1909.10674v1

    • [cs.CV]Restyling Data: Application to Unsupervised Domain Adaptation
    Vasileios Gkitsas, Antonis Karakottas, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras
    http://arxiv.org/abs/1909.10900v1

    • [cs.CV]Single Camera Training for Person Re-identification
    Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian
    http://arxiv.org/abs/1909.10848v1

    • [cs.CV]Synthetic dataset generation for object-to-model deep learning in industrial applications
    Matthew Z. Wong, Kiyohito Kunii, Max Baylis, Wai Hong Ong, Pavel Kroupa, Swen Koller
    http://arxiv.org/abs/1909.10976v1

    • [cs.CV]Unified Vision-Language Pre-Training for Image Captioning and VQA
    Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao
    http://arxiv.org/abs/1909.11059v1

    • [cs.DB]A Rule-Based Relational XML Access Control Model in the Presence of Authorization Conflicts
    Ali Alwehaibi, Mustafa Atay
    http://arxiv.org/abs/1909.11057v1

    • [cs.DC]A high-level characterisation and generalisation of communication-avoiding programming techniques
    Tobias Weinzierl
    http://arxiv.org/abs/1909.10853v1

    • [cs.DC]Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
    Matteo Migliorini, Riccardo Castellotti, Luca Canali, Marco Zanetti
    http://arxiv.org/abs/1909.10389v2

    • [cs.DC]Microchain: A Hybrid Consensus Mechanism for Lightweight Distributed Ledger for IoT
    Ronghua Xu, Yu Chen, Erik Blasch, Genshe Chen
    http://arxiv.org/abs/1909.10948v1

    • [cs.DC]Process migration-based computational offloading framework for IoT-supported mobile edge/cloud computing
    Abdullah Yousafzai, Ibrar Yaqoob, Muhammad Imran, Abdullah Gani, Rafidah Md Noor
    http://arxiv.org/abs/1909.11058v1

    • [cs.DL]Recognizing Topic Change in Search Sessions of Digital Libraries based on Thesaurus and Classification System
    Daniel Hienert, Dagmar Kern
    http://arxiv.org/abs/1909.10736v1

    • [cs.DS]Analysis of a Model for Generating Weakly Scale-free Networks
    Raheel Anwar, Muhammad Irfan Yousuf, Muhammad Abid
    http://arxiv.org/abs/1909.10719v1

    • [cs.DS]Optimal Learning of Joint Alignments with a Faulty Oracle
    Kasper Green Larsen, Michael Mitzenmacher, Charalampos E. Tsourakakis
    http://arxiv.org/abs/1909.09912v1

    • [cs.DS]The space complexity of inner product filters
    Rasmus Pagh, Johan Sivertsen
    http://arxiv.org/abs/1909.10766v1

    • [cs.GT]It’s Not Whom You Know, It’s What You (or Your Friends) Can Do: Succint Coalitional Frameworks for Network Centralities
    Gabriel Istrate, Cosmin Bonchis, Claudiu Gatina
    http://arxiv.org/abs/1909.11084v1

    • [cs.HC]Oldie is Goodie: Effective User Retention by In-game Promotion Event Analysis
    Kyoung Ho Kim, Huy Kang Kim
    http://arxiv.org/abs/1909.10851v1

    • [cs.HC]Visualization and Travel Time Extraction System for the Statistics of TDCS Travel using MapReduce Framework
    Eko Prasetyo, Prayitno, Jing-Doo Wang, Karisma Trinanda Putra
    http://arxiv.org/abs/1909.10513v1

    • [cs.IR]Improving Collaborative Metric Learning with Efficient Negative Sampling
    Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
    http://arxiv.org/abs/1909.10912v1

    • [cs.IT]Application of the Method of Conditional Expectations for Reduction of PAPR and Cubic Metric of OFDM Signals
    Saeed Afrasiabi-Gorgani, Gerhard Wunder
    http://arxiv.org/abs/1909.10639v1

    • [cs.IT]Bit-level Optimized Neural Network for Multi-antenna Channel Quantization
    Chao Lu, Wei Xu, Shi Jin, Kezhi Wang
    http://arxiv.org/abs/1909.10730v1

    • [cs.IT]Error Decoding of Locally Repairable and Partial MDS Codes
    Lukas Holzbaur, Sven Puchinger, Antonia Wachter-Zeh
    http://arxiv.org/abs/1909.10553v1

    • [cs.IT]Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint
    Vaibhav Kumar, Barry Cardiff, Mark. F. Flanagan
    http://arxiv.org/abs/1909.10920v1

    • [cs.IT]Optimally Resilient Codes for List-Decoding from Insertions and Deletions
    Venkatesan Guruswami, Bernhard Haeupler, Amirbehshad Shahrasbi
    http://arxiv.org/abs/1909.10683v1

    • [cs.IT]Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches
    Khai Nguyen Doan, Mojtaba Vaezi, Wonjae Shin, H. Vincent Poor, Hyundong Shin, Tony Q. S. Quek
    http://arxiv.org/abs/1909.11074v1

    • [cs.LG]A Neural Network Based Method to Solve Boundary Value Problems
    Sethu Hareesh Kolluru
    http://arxiv.org/abs/1909.11082v1

    • [cs.LG]AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
    Wei Zhang, Wei Wei, Lingjie Xu, Lingling Jin, Cheng Li
    http://arxiv.org/abs/1909.10562v1

    • [cs.LG]Compiler-Level Matrix Multiplication Optimization for Deep Learning
    Huaqing Zhang, Xiaolin Cheng, Hui Zang, Dae Hoon Park
    http://arxiv.org/abs/1909.10616v1

    • [cs.LG]Constrained deep neural network architecture search for IoT devices accounting hardware calibration
    Florian Scheidegger, Luca Benini, Costas Bekas, Cristiano Malossi
    http://arxiv.org/abs/1909.10818v1

    • [cs.LG]Dimension Estimation Using Autoencoders
    Nitish Bahadur, Randy Paffenroth
    http://arxiv.org/abs/1909.10702v1

    • [cs.LG]Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
    Daiki Matsunaga, Toyotaro Suzumura, Toshihiro Takahashi
    http://arxiv.org/abs/1909.10660v1

    • [cs.LG]Gap Aware Mitigation of Gradient Staleness
    Saar Barkai, Ido Hakimi, Assaf Schuster
    http://arxiv.org/abs/1909.10802v1

    • [cs.LG]Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks
    Lingchen Zhu, Tuanfeng Zhang
    http://arxiv.org/abs/1909.10652v1

    • [cs.LG]HAWKEYE: Adversarial Example Detector for Deep Neural Networks
    Jinkyu Koo, Michael Roth, Saurabh Bagchi
    http://arxiv.org/abs/1909.09938v1

    • [cs.LG]IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
    Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang, Senior Member, IEEE
    http://arxiv.org/abs/1909.10856v1

    • [cs.LG]Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
    Zhi Zhang, Jiachen Yang, Hongyuan Zha
    http://arxiv.org/abs/1909.10651v1

    • [cs.LG]Jointly Learning to Detect Emotions and Predict Facebook Reactions
    Lisa Graziani, Stefano Melacci, Marco Gori
    http://arxiv.org/abs/1909.10779v1

    • [cs.LG]Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning
    Gregory Farquhar, Shimon Whiteson, Jakob Foerster
    http://arxiv.org/abs/1909.10549v1

    • [cs.LG]Monotonic Trends in Deep Neural Networks
    Akhil Gupta, Naman Shukla, Lavanya Marla, Arinbjörn Kolbeinsson
    http://arxiv.org/abs/1909.10662v1

    • [cs.LG]PAC Reinforcement Learning without Real-World Feedback
    Yuren Zhong, Aniket Anand Deshmukh, Clayton Scott
    http://arxiv.org/abs/1909.10449v2

    • [cs.LG]Recurrent Independent Mechanisms
    Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf
    http://arxiv.org/abs/1909.10893v1

    • [cs.LG]Reservoir Topology in Deep Echo State Networks
    Claudio Gallicchio, Alessio Micheli
    http://arxiv.org/abs/1909.11022v1

    • [cs.LG]Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
    Minhao Cheng, Simranjit Singh, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
    http://arxiv.org/abs/1909.10773v1

    • [cs.LG]Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
    Xin Ding
    http://arxiv.org/abs/1909.10670v1

    • [cs.LG]Understanding and Improving One-shot Neural Architecture Optimization
    Renqian Luo, Tao Qin, Enhong Chen
    http://arxiv.org/abs/1909.10815v1

    • [cs.LG]WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
    Michael Poli, Jinkyoo Park, Ilija Ilievski
    http://arxiv.org/abs/1909.10801v1

    • [cs.LG]Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
    Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine
    http://arxiv.org/abs/1909.10618v1

    • [cs.LG]dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
    Jo Schlemper, Ilkay Oksuz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert
    http://arxiv.org/abs/1909.10995v1

    • [cs.LO]Learning definable hypotheses on trees
    Emilie Grienenberger, Martin Ritzert
    http://arxiv.org/abs/1909.10994v1

    • [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/1909.10283v2

    • [cs.RO]Building a Library of Tactile Skills Based on FingerVision
    Boris Belousov, Alymbek Sadybakasov, Bastian Wibranek, Filipe Veiga, Oliver Tessmann, Jan Peters
    http://arxiv.org/abs/1909.09669v1

    • [cs.RO]Continuous Collision Detection for a Robotic Arm Mounted on a Cable-Driven Parallel Robot
    Diane Bury, Jean-Baptiste Izard, Marc Gouttefarde, Florent Lamiraux
    http://arxiv.org/abs/1909.10857v1

    • [cs.RO]Controlling Assistive Robots with Learned Latent Actions
    Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh
    http://arxiv.org/abs/1909.09674v1

    • [cs.RO]Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints
    Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
    http://arxiv.org/abs/1909.10704v1

    • [cs.RO]Invariant Transform Experience Replay
    Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng
    http://arxiv.org/abs/1909.10707v1

    • [cs.RO]Mine Tunnel Exploration using Multiple Quadrupedal Robots
    Ian D. Miller, Fernando Cladera, Anthony Cowley, Shreyas S. Shivakumar, Elijah S. Lee, Laura Jarin-Lipschitz, Akhilesh Bhat, Neil Rodrigues, Alex Zhou, Avraham Cohen, Adarsh Kulkarni, James Laney, Camillo Jose Taylor, Vijay Kumar
    http://arxiv.org/abs/1909.09662v1

    • [cs.RO]Multi-agent Interactive Prediction under Challenging Driving Scenarios
    Weihao Xuan, Ruijie Ren, Yeping Hu
    http://arxiv.org/abs/1909.10737v1

    • [cs.RO]Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
    Krishan Rana, Ben Talbot, Michael Milford, Niko Sünderhauf
    http://arxiv.org/abs/1909.10972v1

    • [cs.RO]Software architecture for YOLO, a creativity-stimulating robot
    Patrícia Alves-Oliveira, Samuel Gomes, Ankita Chandak, Patrícia Arriaga, Guy Hoffman, Ana Paiva
    http://arxiv.org/abs/1909.10823v1

    • [cs.RO]Tethered Tool Manipulation Planning with Cable Maneuvering
    Daniel Sanchez, Weiwei Wan, Kensuke Harada
    http://arxiv.org/abs/1909.10686v1

    • [cs.RO]The Field-of-View Constraint of Markers for Mobile Robot with Pan-Tilt Camera
    Hongxuan Ma, Wei Zou, Zheng Zhu, Siyang Sun, Zhaobing Kang
    http://arxiv.org/abs/1909.10682v1

    • [cs.RO]Towards S-NAMO: Socially-aware Navigation Among Movable Obstacles
    Benoit Renault, Jacques Saraydaryan, Olivier Simonin
    http://arxiv.org/abs/1909.10809v1

    • [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/1909.10376v2

    • [cs.SE]An Exploratory Study of How Specialists Deal with Testing in Data Stream Processing Applications
    Alexandre Vianna, Waldemar Ferreira, Kiev Gama
    http://arxiv.org/abs/1909.11069v1

    • [cs.SI]Temporal effects of Unmoderated Hate speech in Gab
    Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee
    http://arxiv.org/abs/1909.10966v1

    • [eess.AS]Understanding Semantics from Speech Through Pre-training
    Pengwei Wang, Liangchen Wei, Yong Cao, Jinghui Xie, Yuji Cao, Zaiqing Nie
    http://arxiv.org/abs/1909.10924v1

    • [eess.IV]Analysis of Generalized Entropies in Mutual Information Medical Image Registration
    Vinicius Pavanelli Vianna, Luiz Otavio Murta Junior
    http://arxiv.org/abs/1909.10690v1

    • [eess.IV]Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
    Ziming Qiu, Nitin Nair, Jack Langerman, Orlando Aristizabal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
    http://arxiv.org/abs/1909.10555v1

    • [eess.IV]Automatic techniques for cochlear implant CT image analysis
    Yiyuan Zhao
    http://arxiv.org/abs/1909.10922v1

    • [eess.IV]LISR: Image Super-resolution under Hardware Constraints
    Pravir Singh Gupta, Xin Yuan, Gwan Seong Choi
    http://arxiv.org/abs/1909.10136v1

    • [eess.IV]Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture
    Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, René Werner, Thomas Rösch
    http://arxiv.org/abs/1909.10726v1

    • [eess.IV]Offline identification of surgical deviations in laparoscopic rectopexy
    Arnaud Huaulmé, Sandrine Voros, Fabian Reche, Jean-Luc Faucheron, Alexandre Moreau-Gaudry, Pierre Jannin
    http://arxiv.org/abs/1909.10790v1

    • [eess.IV]s-LWSR: Super Lightweight Super-Resolution Network
    Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi
    http://arxiv.org/abs/1909.10774v1

    • [eess.SP]Phase Retrieval via Smooth Amplitude Flow
    Q. Luo, H. Wang
    http://arxiv.org/abs/1909.10685v1

    • [eess.SP]Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs
    Xuedou Xiao, Wei Wang, Taobin Chen, Yang Cao, Tao Jiang, Qian Zhang
    http://arxiv.org/abs/1909.10914v1

    • [eess.SP]Wavelet invariants for statistically robust multi-reference alignment
    Matthew Hirn, Anna Little
    http://arxiv.org/abs/1909.11062v1

    • [eess.SY]Informative Planning of Mobile Sensor Networks in GPS-Denied Environments
    Youngjae Min, Soon-Seo Park, Han-Lim Choi
    http://arxiv.org/abs/1909.11046v1

    • [hep-ph]Towards hardware acceleration for parton densities estimation
    Stefano Carrazza, Juan Cruz-Martinez, Jesús Urtasun-Elizari, Emilio Villa
    http://arxiv.org/abs/1909.10547v1

    • [math.DS]Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
    Stefan Klus, Feliks Nüske, Sebastian Peitz, Jan-Hendrik Niemann, Cecilia Clementi, Christof Schütte
    http://arxiv.org/abs/1909.10638v1

    • [math.NA]Numerical evaluation of the transition probability of the simple birth-and-death process
    Alberto Pessia, Jing Tang
    http://arxiv.org/abs/1909.10765v1

    • [math.OC]Faster saddle-point optimization for solving large-scale Markov decision processes
    Joan Bas-Serrano, Gergely Neu
    http://arxiv.org/abs/1909.10904v1

    • [math.ST]Double-estimation-friendly inference for high-dimensional misspecified models
    Rajen D. Shah, Peter Bühlmann
    http://arxiv.org/abs/1909.10828v1

    • [math.ST]High-probability bounds for the reconstruction error of PCA
    Cassandra Uebel, Martin Wahl
    http://arxiv.org/abs/1909.10787v1

    • [math.ST]The Trimmed Mean in Non-parametric Regression Function Estimation
    Subhra Sankar Dhar, Prashant Jha, Prabrisha Rakhshit
    http://arxiv.org/abs/1909.10734v1

    • [math.ST]The column measure and Gradient-Free Gradient Boosting
    Tino Werner, Peter Ruckdeschel
    http://arxiv.org/abs/1909.10960v1

    • [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/1909.10124v2

    • [physics.soc-ph]A data-driven model for Mass Media influence in electoral context
    Federico Albanese, Claudio J. Tessone, Viktoriya Semeshenko, Pablo Balenzuela
    http://arxiv.org/abs/1909.10554v1

    • [physics.soc-ph]Bipartite networks describe R&D collaboration between institutions
    D. Vasques Filho, Dion R. J. O’Neale
    http://arxiv.org/abs/1909.10977v1

    • [q-fin.ST]Implied volatility surface predictability: the case of commodity markets
    Fearghal Kearney, Han Lin Shang, Lisa Sheenan
    http://arxiv.org/abs/1909.11009v1

    • [q-fin.ST]Structural Change Analysis of Active Cryptocurrency Market
    C. Y. Tan, Y. B. Koh, K. H. Ng, K. H. Ng
    http://arxiv.org/abs/1909.10679v1

    • [quant-ph]Quantum Inflation: A General Approach to Quantum Causal Compatibility
    Elie Wolfe, Alejandro Pozas-Kerstjens, Matan Grinberg, Denis Rosset, Antonio Acín, Miguel Navascues
    http://arxiv.org/abs/1909.10519v1

    • [stat.AP]Analyzing the National Football League is challenging, but player tracking data is here to help
    Michael J. Lopez
    http://arxiv.org/abs/1909.10631v1

    • [stat.AP]Efficient Estimation of the Left Tail of Bimodal Distributions with Applications to Underwater Optical Communication Systems
    Chaouki ben Issaid, Mohamed-Slim Alouini
    http://arxiv.org/abs/1909.11016v1

    • [stat.AP]Examining effects of green revolution led agricultural expansion on net ecosystem service values in India using multiple valuation approaches
    Srikanta Sannigrahi, Suman Chakraborti, Pawan Kumar Joshi, Saskia Keesstra, P. S. Roy, Paul. C. Sutton, Urs Kreuter, Saikat Kumar Paul, Somnath Sen, Sandeep Bhatt, Shahid Rahmat, Shouvik Jha, Qi Zhang, Laishram Kanta Singh
    http://arxiv.org/abs/1909.10742v1

    • [stat.AP]Topological Data Analysis (TDA) for Time Series
    Nalini Ravishanker, Renjie Chen
    http://arxiv.org/abs/1909.10604v1

    • [stat.AP]Tuning parameter calibration for prediction in personalized medicine
    Shih-Ting Huang, Yannick Düren, Kristoffer H. Hellton, Johannes Lederer
    http://arxiv.org/abs/1909.10635v1

    • [stat.ME]A Bayesian Approach to Directed Acyclic Graphs with a Candidate Graph
    Evan A Martin, Audrey Qiuyan Fu
    http://arxiv.org/abs/1909.10678v1

    • [stat.ME]Applicability and Interpretability of Hierarchical Agglomerative Clustering With or Without Contiguity Constraints
    Nathanaël Randriamihamison, Nathalie Vialaneix, Pierre Neuvial
    http://arxiv.org/abs/1909.10923v1

    • [stat.ME]Estimating Number of Factors by Adjusted Eigenvalues Thresholding
    Jianqing Fan, Jianhua Guo, Shurong Zheng
    http://arxiv.org/abs/1909.10710v1

    • [stat.ME]High-dimensional clustering via Random Projections
    Laura Anderlucci, Francesca Fortunato, Angela Montanari
    http://arxiv.org/abs/1909.10832v1

    • [stat.ME]Intensity Estimation for Poisson Process with Compositional Noise
    Glenna Schluck, Wei Wu, Anuj Srivastava
    http://arxiv.org/abs/1909.10653v1

    • [stat.ME]On Variable Screening in Multiple Nonparametric Regression Model
    Subhra Sankar Dhar, Prashant Jha, Aranyak Acharyya
    http://arxiv.org/abs/1909.10739v1

    • [stat.ME]Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
    Peng Zheng, Aleksandr Y. Aravkin, Ryan Barber, Reed J. D. Sorensen, Christopher J. L. Murray
    http://arxiv.org/abs/1909.10700v1

    • [stat.ME]Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates
    Li-Pang Chen
    http://arxiv.org/abs/1909.10655v1

    • [stat.ML]A Theory of Uncertainty Variables for State Estimation and Inference
    Rajat Talak, Sertac Karaman, Eytan Modiano
    http://arxiv.org/abs/1909.10673v1

    • [stat.ML]Kalman Filtering with Gaussian Processes Measurement Noise
    Vince Kurtz, Hai Lin
    http://arxiv.org/abs/1909.10582v1