astro-ph.SR - 太阳和天体物理学恒星
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.DB - 数据库 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.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.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 gr-qc - 广义相对论与量子宇宙学 hep-ph - 高能物理现象学 math.CO - 组合数学 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.acc-ph - 加速器物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-fin.CP -计算金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.SR]Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses
• [cs.AI]Efficient Multi-robot Exploration via Multi-head Attention-based Cooperation Strategy
• [cs.AI]Metrology for AI: From Benchmarks to Instruments
• [cs.AI]Scenarios and Recommendations for Ethical Interpretive AI
• [cs.AI]The Measure of Intelligence
• [cs.CL]A Deep Learning approach for Hindi Named Entity Recognition
• [cs.CL]A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution
• [cs.CL]A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
• [cs.CL]Adversarial Language Games for Advanced Natural Language Intelligence
• [cs.CL]Assessing Social and Intersectional Biases in Contextualized Word Representations
• [cs.CL]BAS: An Answer Selection Method Using BERT Language Model
• [cs.CL]Coreference Resolution as Query-based Span Prediction
• [cs.CL]Data Diversification: An Elegant Strategy For Neural Machine Translation
• [cs.CL]Deepening Hidden Representations from Pre-trained Language Models for Natural Language Understanding
• [cs.CL]Discrete Argument Representation Learning for Interactive Argument Pair Identification
• [cs.CL]Emerging Cross-lingual Structure in Pretrained Language Models
• [cs.CL]Focus on What’s Informative and Ignore What’s not: Communication Strategies in a Referential Game
• [cs.CL]Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation
• [cs.CL]Improving Slot Filling by Utilizing Contextual Information
• [cs.CL]Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings
• [cs.CL]Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition
• [cs.CL]Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity
• [cs.CL]Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
• [cs.CL]LIDA: Lightweight Interactive Dialogue Annotator
• [cs.CL]Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents
• [cs.CL]On Compositionality in Neural Machine Translation
• [cs.CL]Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems
• [cs.CL]RNN-T For Latency Controlled ASR With Improved Beam Search
• [cs.CL]Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations
• [cs.CR]DLA: Dense-Layer-Analysis for Adversarial Example Detection
• [cs.CR]Visual Privacy Protection via Mapping Distortion
• [cs.CV]A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation
• [cs.CV]A Spectral Nonlocal Block for Neural Networks
• [cs.CV]Adaptive Context Network for Scene Parsing
• [cs.CV]Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage
• [cs.CV]Dancing to Music
• [cs.CV]Deep Flow Collaborative Network for Online Visual Tracking
• [cs.CV]Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs)
• [cs.CV]High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
• [cs.CV]Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory
• [cs.CV]Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
• [cs.CV]Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice
• [cs.CV]ROI Pooled Correlation Filters for Visual Tracking
• [cs.CV]SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset
• [cs.CV]Video Captioning with Text-based Dynamic Attention and Step-by-Step Learning
• [cs.CY]Flight Delay Prediction using Airport Situational Awareness Map
• [cs.CY]Thermodynamic Computing
• [cs.DB]A General Early-Stopping Module for Crowdsourced Ranking
• [cs.DC]A Wait-Free Universal Construct for Large Objects
• [cs.DC]Adaptive Domain Decomposition method for Saddle Point problem in Matrix Form
• [cs.DC]Fourth Industrial Revolution for Development: The Relevance of Cloud Federation in Healthcare Support
• [cs.DS]Faster Parallel Algorithm for Approximate Shortest Path
• [cs.DS]Local Statistics, Semidefinite Programming, and Community Detection
• [cs.DS]Pan-Private Uniformity Testing
• [cs.DS]Parallel Approximate Undirected Shortest Paths Via Low Hop Emulators
• [cs.HC]VASTA: A Vision and Language-assisted Smartphone Task Automation System
• [cs.HC]embComp: Visual Interactive Comparison of Vector Embeddings
• [cs.IR]ColluEagle: Collusive review spammer detection using Markov random fields
• [cs.IR]Deep Collaborative Discrete Hashing with Semantic-Invariant Structure
• [cs.IR]Review-based Question Generation with Adaptive Instance Transfer and Augmentation
• [cs.IR]Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries
• [cs.IT]An improved transformation between Fibonacci FSRs and Galois FSRs
• [cs.IT]Combinatorial list-decoding of Reed-Solomon codes beyond the Johnson radius
• [cs.IT]Dynamic HARQ with Guaranteed Delay
• [cs.IT]Robust low-delay Streaming PIR using convolutional codes
• [cs.IT]Some New Results on Splitter Sets
• [cs.IT]Uplink-Downlink Tradeoff in Secure Distributed Matrix Multiplication
• [cs.LG]A Comparative Analysis of XGBoost
• [cs.LG]A GMM based algorithm to generate point-cloud and its application to neuroimaging
• [cs.LG]A Model for Spatial Outlier Detection Based on Weighted Neighborhood Relationship
• [cs.LG]A Rule for Gradient Estimator Selection, with an Application to Variational Inference
• [cs.LG]AReN: Assured ReLU NN Architecture for Model Predictive Control of LTI Systems
• [cs.LG]An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
• [cs.LG]Apprenticeship Learning via Frank-Wolfe
• [cs.LG]Auditing and Achieving Intersectional Fairness in Classification Problems
• [cs.LG]Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
• [cs.LG]Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
• [cs.LG]Bounds for the Number of Tests in Non-Adaptive Randomized Algorithms for Group Testing
• [cs.LG]Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation for Semantic Segmentation in Robot Soccer
• [cs.LG]DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
• [cs.LG]Detecting Point Outliers Using Prune-based Outlier Factor (PLOF)
• [cs.LG]DocParser: Hierarchical Structure Parsing of Document Renderings
• [cs.LG]Dynamic Graph Embedding via LSTM History Tracking
• [cs.LG]Dynamic Time Warp Convolutional Networks
• [cs.LG]Enhancing the Privacy of Federated Learning with Sketching
• [cs.LG]GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction
• [cs.LG]Improving Supervised Phase Identification Through the Theory of Information Losses
• [cs.LG]Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification
• [cs.LG]Memory Augmented Recursive Neural Networks
• [cs.LG]New Potential-Based Bounds for Prediction with Expert Advice
• [cs.LG]On Online Learning in Kernelized Markov Decision Processes
• [cs.LG]One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
• [cs.LG]Online matrix factorization for Markovian data and applications to Network Dictionary Learning
• [cs.LG]Optimistic Optimization for Statistical Model Checking with Regret Bounds
• [cs.LG]Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems
• [cs.LG]Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
• [cs.LG]Quinoa: a Q-function You Infer Normalized Over Actions
• [cs.LG]Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
• [cs.LG]Study of Constrained Network Structures for WGANs on Numeric Data Generation
• [cs.LG]Test Metrics for Recurrent Neural Networks
• [cs.LG]The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models
• [cs.LG]Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
• [cs.LG]Towards Optimal and Efficient Best Arm Identification in Linear Bandits
• [cs.LG]Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)
• [cs.LG]Understanding racial bias in health using the Medical Expenditure Panel Survey data
• [cs.LG]Variable Grouping Based Bayesian Additive Regression Tree
• [cs.NE]Bipolar Morphological Neural Networks: Convolution Without Multiplication
• [cs.NI]Boost Your CotS IEEE 802.15.4 Network with Inter-Slot Interference Cancellation for Industrial IoT
• [cs.RO]Benchmarking Simulated Robotic Manipulation through a Real World Dataset
• [cs.RO]Cognitive and motor compliance in intentional human-robot interaction
• [cs.RO]Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
• [cs.RO]On Solving the 2-Dimensional Greedy Shooter Problem for UAVs
• [cs.RO]Real-time Funnel Generation for Restricted Motion Planning
• [cs.RO]Towards vision-based robotic skins: a data-driven, multi-camera tactile sensor
• [cs.SI]Adversarial Enhancement for Community Detection in Complex Networks
• [cs.SI]Distance-Based Network Partitioning
• [eess.AS]Speaker-invariant Affective Representation Learning via Adversarial Training
• [eess.IV]3D Deformable Convolutions for MRI classification
• [eess.IV]Detection of vertebral fractures in CT using 3D Convolutional Neural Networks
• [eess.IV]Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction
• [eess.IV]Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection
• [eess.IV]Out of distribution detection for intra-operative functional imaging
• [eess.IV]Spatial Sparse subspace clustering for Compressive Spectral imaging
• [eess.IV]Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem
• [eess.SP]Convolutional Neural Network-aided Bit-flipping for Belief Propagation Decoding of Polar Codes
• [eess.SP]Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison
• [eess.SP]LACI: Low-effort Automatic Calibration of Infrastructure Sensors
• [eess.SP]Optimal Transport Based Change Point Detection and Time Series Segment Clustering
• [eess.SP]Post-FEC BER Prediction for Bit-Interleaved Coded Modulation with Probabilistic Shaping
• [eess.SP]Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors
• [eess.SP]Unsupervised Learning for Neural Network-based Polar Decoder via Syndrome Loss
• [eess.SY]A Control Chart Approach to Power System Line Outage Detection Under Transient Dynamics
• [gr-qc]Predicting the properties of black holes merger remnants with Deep Neural Networks
• [hep-ph]Interpretability Study on Deep Learning for Jet Physics at the Large Hadron Collider
• [math.CO]Multilateration of Random Networks with Community Structure
• [math.DS]Can the Elliptic Billiard Still Surprise Us?
• [math.NA]Quasi-Monte Carlo sampling for machine-learning partial differential equations
• [math.OC]Generalized Self-concordant Hessian-barrier algorithms
• [math.OC]Importance Sampling via Local Sensitivity
• [math.ST]Behavior of Fréchet mean and Central Limit Theorems on spheres
• [math.ST]Consistency of a range of penalised cost approaches for detecting multiple changepoints
• [math.ST]Information Geometry of the Probability Simplex: A Short Course
• [math.ST]Manifold Asymptotics of Quadratic-Form-Based Inference in Repeated Measures Designs
• [math.ST]Some comments about measures, Jacobians and Moore-Penrose inverse
• [math.ST]Statistical Inference in Mean-Field Variational Bayes
• [math.ST]The generalization error of max-margin linear classifiers: High-dimensional asymptotics in the overparametrized regime
• [physics.acc-ph]Online tuning and light source control using a physics-informed Gaussian process Adi
• [physics.soc-ph]Constrained Spectral Clustering for Dynamic Community Detection
• [physics.soc-ph]Statistical Properties of Links of Network: A Survey on the Shipping Lines of Worldwide Marine Transport Network
• [q-bio.NC]Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
• [q-bio.PE]Minimal percolating sets for mutating infectious diseases
• [q-fin.CP]Deep Hedging: Learning to Simulate Equity Option Markets
• [quant-ph]A Note on Quantum Markov Models
• [stat.AP]A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games
• [stat.AP]Identifying main effects and interactions among exposures using Gaussian processes
• [stat.AP]Latent likelihood ratio tests for assessing spatial kernels in epidemic models
• [stat.AP]Multivariate Time-Between-Events Monitoring — An overview and some (overlooked) underlying complexities
• [stat.AP]Neural Network Based Parameter Estimation Method for the Pareto/NBD Model
• [stat.AP]Penalized least squares and sign constraints with modified Newton-Raphson algorithms: application to EEG source imaging
• [stat.CO]Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects
• [stat.ME]A Latent Topic Model with Markovian Transition for Process Data
• [stat.ME]Correcting for attenuation due to measurement error
• [stat.ME]Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise
• [stat.ME]Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data
• [stat.ME]Revisiting the probabilistic method of record linkage
• [stat.ME]Stabilizing Variable Selection and Regression
• [stat.ME]The correlation-assisted missing data estimator
• [stat.ME]Weibull Racing Time-to-event Modeling and Analysis of Online Borrowers’ Loan Payoff and Default
• [stat.ME]Yakovlev Promotion Time Cure Model with Local Polynomial Estimation
• [stat.ML]GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models
• [stat.ML]Improved BiGAN training with marginal likelihood equalization
• [stat.ML]Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry
• [stat.ML]Scalable Deep Generative Relational Models with High-Order Node Dependence
• [stat.ML]Statistical Inference for Model Parameters in Stochastic Gradient Descent via Batch Means
• [stat.ML]The frontier of simulation-based inference
·····································
• [astro-ph.SR]Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses
Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atılım Güneş Baydin, Yarin Gal, Andrés Muñoz-Jaramillo
http://arxiv.org/abs/1911.01490v1
• [cs.AI]Efficient Multi-robot Exploration via Multi-head Attention-based Cooperation Strategy
Shuqi Liu, Zhaoxia Wu
http://arxiv.org/abs/1911.01774v1
• [cs.AI]Metrology for AI: From Benchmarks to Instruments
Chris Welty, Praveen Paritosh, Lora Aroyo
http://arxiv.org/abs/1911.01875v1
• [cs.AI]Scenarios and Recommendations for Ethical Interpretive AI
John Licato, Zaid Marji, Sophia Abraham
http://arxiv.org/abs/1911.01917v1
• [cs.AI]The Measure of Intelligence
François Chollet
http://arxiv.org/abs/1911.01547v1
• [cs.CL]A Deep Learning approach for Hindi Named Entity Recognition
Bansi Shah, Sunil Kumar Kopparapu
http://arxiv.org/abs/1911.01421v1
• [cs.CL]A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
http://arxiv.org/abs/1911.01460v1
• [cs.CL]A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
http://arxiv.org/abs/1911.01678v1
• [cs.CL]Adversarial Language Games for Advanced Natural Language Intelligence
Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
http://arxiv.org/abs/1911.01622v1
• [cs.CL]Assessing Social and Intersectional Biases in Contextualized Word Representations
Yi Chern Tan, L. Elisa Celis
http://arxiv.org/abs/1911.01485v1
• [cs.CL]BAS: An Answer Selection Method Using BERT Language Model
Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbakhsh
http://arxiv.org/abs/1911.01528v1
• [cs.CL]Coreference Resolution as Query-based Span Prediction
Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li
http://arxiv.org/abs/1911.01746v1
• [cs.CL]Data Diversification: An Elegant Strategy For Neural Machine Translation
Xuan-Phi Nguyen, Shafiq Joty, Wu Kui, Ai Ti Aw
http://arxiv.org/abs/1911.01986v1
• [cs.CL]Deepening Hidden Representations from Pre-trained Language Models for Natural Language Understanding
Junjie Yang, Hai Zhao
http://arxiv.org/abs/1911.01940v1
• [cs.CL]Discrete Argument Representation Learning for Interactive Argument Pair Identification
Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang
http://arxiv.org/abs/1911.01621v1
• [cs.CL]Emerging Cross-lingual Structure in Pretrained Language Models
Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov
http://arxiv.org/abs/1911.01464v1
• [cs.CL]Focus on What’s Informative and Ignore What’s not: Communication Strategies in a Referential Game
Roberto Dessì, Diane Bouchacourt, Davide Crepaldi, Marco Baroni
http://arxiv.org/abs/1911.01892v1
• [cs.CL]Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation
Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang
http://arxiv.org/abs/1911.01597v1
• [cs.CL]Improving Slot Filling by Utilizing Contextual Information
Amir Pouran Ben Veyseh, Franck Dernonrcourt, Thien Huu Nguyen
http://arxiv.org/abs/1911.01680v1
• [cs.CL]Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings
Xinyi Jiang, Zhengzhe Yang, Jinho D. Choi
http://arxiv.org/abs/1911.01623v1
• [cs.CL]Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition
Hamada A. Nayel, Shashrekha H. L
http://arxiv.org/abs/1911.01600v1
• [cs.CL]Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity
Debanjan Ghosh, Elena Musi, Kartikeya Upasani, Smaranda Muresan
http://arxiv.org/abs/1911.00891v2
• [cs.CL]Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si
http://arxiv.org/abs/1911.01616v1
• [cs.CL]LIDA: Lightweight Interactive Dialogue Annotator
Edward Collins, Nikolai Rozanov, Bingbing Zhang
http://arxiv.org/abs/1911.01599v1
• [cs.CL]Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents
Luca Celotti, Simon Brodeur, Jean Rouat
http://arxiv.org/abs/1911.02002v1
• [cs.CL]On Compositionality in Neural Machine Translation
Vikas Raunak, Vaibhav Kumar, Florian Metze, Jaimie Callan
http://arxiv.org/abs/1911.01497v1
• [cs.CL]Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems
Sarik Ghazarian, Ralph Weischedel, Aram Galstyan, Nanyun Peng
http://arxiv.org/abs/1911.01456v1
• [cs.CL]RNN-T For Latency Controlled ASR With Improved Beam Search
Mahaveer Jain, Kjell Schubert, Jay Mahadeokar, Ching-Feng Yeh, Kaustubh Kalgaonkar, Anuroop Sriram, Christian Fuegen, Michael L. Seltzer
http://arxiv.org/abs/1911.01629v1
• [cs.CL]Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations
Wenye Li, Senyue Hao
http://arxiv.org/abs/1911.01625v1
• [cs.CR]DLA: Dense-Layer-Analysis for Adversarial Example Detection
Philip Sperl, Ching-Yu Kao, Peng Chen, Konstantin Böttinger
http://arxiv.org/abs/1911.01921v1
• [cs.CR]Visual Privacy Protection via Mapping Distortion
Peidong Liu, Yiming Li, Yong Jiang, Shu-Tao Xia
http://arxiv.org/abs/1911.01769v1
• [cs.CV]A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation
Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang
http://arxiv.org/abs/1911.01648v1
• [cs.CV]A Spectral Nonlocal Block for Neural Networks
Lei Zhu, Qi She, Lidan Zhang, Ping Guo
http://arxiv.org/abs/1911.01059v2
• [cs.CV]Adaptive Context Network for Scene Parsing
Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu
http://arxiv.org/abs/1911.01664v1
• [cs.CV]Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage
Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama
http://arxiv.org/abs/1911.01672v1
• [cs.CV]Dancing to Music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
http://arxiv.org/abs/1911.02001v1
• [cs.CV]Deep Flow Collaborative Network for Online Visual Tracking
Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia
http://arxiv.org/abs/1911.01786v1
• [cs.CV]Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs)
Yifan Zhou, Simon Maskell
http://arxiv.org/abs/1911.01727v1
• [cs.CV]High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee
http://arxiv.org/abs/1911.01655v1
• [cs.CV]Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory
Duc Nguyen, Nhan Tran, Hung Le
http://arxiv.org/abs/1911.01577v1
• [cs.CV]Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondřej Chum
http://arxiv.org/abs/1911.01507v1
• [cs.CV]Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice
Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew Blaschko
http://arxiv.org/abs/1911.01685v1
• [cs.CV]ROI Pooled Correlation Filters for Visual Tracking
Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu
http://arxiv.org/abs/1911.01668v1
• [cs.CV]SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset
Chuin Hong Yap, Connah Kendrick, Moi Hoon Yap
http://arxiv.org/abs/1911.01519v1
• [cs.CV]Video Captioning with Text-based Dynamic Attention and Step-by-Step Learning
Huanhou Xiao, Jinglun Shi
http://arxiv.org/abs/1911.01857v1
• [cs.CY]Flight Delay Prediction using Airport Situational Awareness Map
Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Konuiusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
http://arxiv.org/abs/1911.01605v1
• [cs.CY]Thermodynamic Computing
Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, Susanne Still, John Paul Strachan, R. Stanley Williams, Alexander Alemi, Lee Altenberg, Gavin Crooks, James Crutchfield, Lidia del Rio, Josh Deutsch, Michael DeWeese, Khari Douglas, Massimiliano Esposito, Michael Frank, Robert Fry, Peter Harsha, Mark Hill, Christopher Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David Wolpert, Joshua Yang, Yan Yufik
http://arxiv.org/abs/1911.01968v1
• [cs.DB]A General Early-Stopping Module for Crowdsourced Ranking
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
http://arxiv.org/abs/1911.01042v1
• [cs.DC]A Wait-Free Universal Construct for Large Objects
Andreia Correia, Pedro Ramalhete, Pascal Felber
http://arxiv.org/abs/1911.01676v1
• [cs.DC]Adaptive Domain Decomposition method for Saddle Point problem in Matrix Form
F. Nataf
http://arxiv.org/abs/1911.01858v1
• [cs.DC]Fourth Industrial Revolution for Development: The Relevance of Cloud Federation in Healthcare Support
Olasupo O. Ajayi, Antoine B. Bagula, Kun Ma
http://arxiv.org/abs/1911.01708v1
• [cs.DS]Faster Parallel Algorithm for Approximate Shortest Path
Jason Li
http://arxiv.org/abs/1911.01626v1
• [cs.DS]Local Statistics, Semidefinite Programming, and Community Detection
Jess Banks, Sidhanth Mohanty, Prasad Raghavendra
http://arxiv.org/abs/1911.01960v1
• [cs.DS]Pan-Private Uniformity Testing
Kareem Amin, Matthew Joseph, Jieming Mao
http://arxiv.org/abs/1911.01452v1
• [cs.DS]Parallel Approximate Undirected Shortest Paths Via Low Hop Emulators
Alexandr Andoni, Clifford Stein, Peilin Zhong
http://arxiv.org/abs/1911.01956v1
• [cs.HC]VASTA: A Vision and Language-assisted Smartphone Task Automation System
Alborz Rezazadeh Sereshkeh, Gary Leung, Krish Perumal, Caleb Phillips, Minfan Zhang, Afsaneh Fazly, Iqbal Mohomed
http://arxiv.org/abs/1911.01474v1
• [cs.HC]embComp: Visual Interactive Comparison of Vector Embeddings
Florian Heimerl, Christoph Kralj, Torsten Möller, Michael Gleicher
http://arxiv.org/abs/1911.01542v1
• [cs.IR]ColluEagle: Collusive review spammer detection using Markov random fields
Zhuo Wang, Runlong Hu, Qian Chen, Pei Gao, Xiaowei Xu
http://arxiv.org/abs/1911.01690v1
• [cs.IR]Deep Collaborative Discrete Hashing with Semantic-Invariant Structure
Zijian Wang, Zheng Zhang, Yadan Luo, Zi Huang
http://arxiv.org/abs/1911.01565v1
• [cs.IR]Review-based Question Generation with Adaptive Instance Transfer and Augmentation
Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si
http://arxiv.org/abs/1911.01556v1
• [cs.IR]Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries
Matthias Fontanellaz, Stergios Christodoulidis, Stavroula Mougiakakou
http://arxiv.org/abs/1911.01770v1
• [cs.IT]An improved transformation between Fibonacci FSRs and Galois FSRs
Bowen Li, Shiyong Zhu, Jianquan Lu
http://arxiv.org/abs/1911.01588v1
• [cs.IT]Combinatorial list-decoding of Reed-Solomon codes beyond the Johnson radius
Chong Shangguan, Itzhak Tamo
http://arxiv.org/abs/1911.01502v1
• [cs.IT]Dynamic HARQ with Guaranteed Delay
Mahyar Shirvanimoghaddam, Hossein Khayami, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/1911.01684v1
• [cs.IT]Robust low-delay Streaming PIR using convolutional codes
Julia Lieb, Diego Napp, Raquel Pinto
http://arxiv.org/abs/1911.01316v2
• [cs.IT]Some New Results on Splitter Sets
Zuo Ye, Tao Zhang, Xiande Zhang, Gennian Ge
http://arxiv.org/abs/1911.01722v1
• [cs.IT]Uplink-Downlink Tradeoff in Secure Distributed Matrix Multiplication
Jaber Kakar, Anton Khristoforov, Seyedhamed Ebadifar, Aydin Sezgin
http://arxiv.org/abs/1910.13849v2
• [cs.LG]A Comparative Analysis of XGBoost
Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz
http://arxiv.org/abs/1911.01914v1
• [cs.LG]A GMM based algorithm to generate point-cloud and its application to neuroimaging
Liu Yang, Rudrasis Chakraborty
http://arxiv.org/abs/1911.01705v1
• [cs.LG]A Model for Spatial Outlier Detection Based on Weighted Neighborhood Relationship
Ayman Taha, Hoda M. Onsi, Mohammed Nour El din, Osman M. Hegazy
http://arxiv.org/abs/1911.01867v1
• [cs.LG]A Rule for Gradient Estimator Selection, with an Application to Variational Inference
Tomas Geffner, Justin Domke
http://arxiv.org/abs/1911.01894v1
• [cs.LG]AReN: Assured ReLU NN Architecture for Model Predictive Control of LTI Systems
James Ferlez, Yasser Shoukry
http://arxiv.org/abs/1911.01608v1
• [cs.LG]An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian
http://arxiv.org/abs/1911.01030v1
• [cs.LG]Apprenticeship Learning via Frank-Wolfe
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
http://arxiv.org/abs/1911.01679v1
• [cs.LG]Auditing and Achieving Intersectional Fairness in Classification Problems
Giulio Morina, Viktoriia Oliinyk, Julian Waton, Ines Marusic, Konstantinos Georgatzis
http://arxiv.org/abs/1911.01468v1
• [cs.LG]Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill
http://arxiv.org/abs/1911.01546v1
• [cs.LG]Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
Anastasiia Doinychko, Massih-Reza Amini
http://arxiv.org/abs/1911.01861v1
• [cs.LG]Bounds for the Number of Tests in Non-Adaptive Randomized Algorithms for Group Testing
Nader H. Bshouty, George Haddad, Catherine A. Haddad-Zaknoon
http://arxiv.org/abs/1911.01694v1
• [cs.LG]Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation for Semantic Segmentation in Robot Soccer
Jan Blumenkamp, Andreas Baude, Tim Laue
http://arxiv.org/abs/1911.01529v1
• [cs.LG]DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy
http://arxiv.org/abs/1911.01562v1
• [cs.LG]Detecting Point Outliers Using Prune-based Outlier Factor (PLOF)
Kasra Babaei, ZhiYuan Chen, Tomas Maul
http://arxiv.org/abs/1911.01654v1
• [cs.LG]DocParser: Hierarchical Structure Parsing of Document Renderings
Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel
http://arxiv.org/abs/1911.01702v1
• [cs.LG]Dynamic Graph Embedding via LSTM History Tracking
Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu
http://arxiv.org/abs/1911.01551v1
• [cs.LG]Dynamic Time Warp Convolutional Networks
Yaniv Shulman
http://arxiv.org/abs/1911.01944v1
• [cs.LG]Enhancing the Privacy of Federated Learning with Sketching
Zaoxing Liu, Tian Li, Virginia Smith, Vyas Sekar
http://arxiv.org/abs/1911.01812v1
• [cs.LG]GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction
Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan
http://arxiv.org/abs/1911.01731v1
• [cs.LG]Improving Supervised Phase Identification Through the Theory of Information Losses
Brandon Foggo, Nanpeng Yu
http://arxiv.org/abs/1911.01484v1
• [cs.LG]Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification
Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu
http://arxiv.org/abs/1911.01658v1
• [cs.LG]Memory Augmented Recursive Neural Networks
Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar
http://arxiv.org/abs/1911.01545v1
• [cs.LG]New Potential-Based Bounds for Prediction with Expert Advice
Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang
http://arxiv.org/abs/1911.01641v1
• [cs.LG]On Online Learning in Kernelized Markov Decision Processes
Sayak Ray Chowdhury, Aditya Gopalan
http://arxiv.org/abs/1911.01871v1
• [cs.LG]One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
http://arxiv.org/abs/1911.01764v1
• [cs.LG]Online matrix factorization for Markovian data and applications to Network Dictionary Learning
Hanbaek Lyu, Deana Needell, Laura Balzano
http://arxiv.org/abs/1911.01931v1
• [cs.LG]Optimistic Optimization for Statistical Model Checking with Regret Bounds
Negin Musavi, Dawei Sun, Sayan Mitra, Geir Dullerud, Sanjay Shakkottai
http://arxiv.org/abs/1911.01537v1
• [cs.LG]Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems
Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel
http://arxiv.org/abs/1911.01916v1
• [cs.LG]Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atılım Güneş Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo
http://arxiv.org/abs/1911.01486v1
• [cs.LG]Quinoa: a Q-function You Infer Normalized Over Actions
Jonas Degrave, Abbas Abdolmaleki, Jost Tobias Springenberg, Nicolas Heess, Martin Riedmiller
http://arxiv.org/abs/1911.01831v1
• [cs.LG]Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos
http://arxiv.org/abs/1911.01915v1
• [cs.LG]Study of Constrained Network Structures for WGANs on Numeric Data Generation
Wei Wang, Chuang Wang, Tao Cui, Yue Li
http://arxiv.org/abs/1911.01649v1
• [cs.LG]Test Metrics for Recurrent Neural Networks
Wei Huang, Youcheng Sun, James Sharp, Xiaowei Huang
http://arxiv.org/abs/1911.01952v1
• [cs.LG]The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models
Ren Pang, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiaopu Luo, Ting Wang
http://arxiv.org/abs/1911.01559v1
• [cs.LG]Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
Surbhi Goel, Sushrut Karmalkar, Adam Klivans
http://arxiv.org/abs/1911.01462v1
• [cs.LG]Towards Optimal and Efficient Best Arm Identification in Linear Bandits
Mohammadi Zaki, Aditya Gopalan, Avinash Mohan
http://arxiv.org/abs/1911.01695v1
• [cs.LG]Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)
Amelia Drew, Alexander Heinecke
http://arxiv.org/abs/1911.01933v1
• [cs.LG]Understanding racial bias in health using the Medical Expenditure Panel Survey data
Moninder Singh, Karthikeyan Natesan Ramamurthy
http://arxiv.org/abs/1911.01509v1
• [cs.LG]Variable Grouping Based Bayesian Additive Regression Tree
Yuhao Su, Jie Ding
http://arxiv.org/abs/1911.00922v2
• [cs.NE]Bipolar Morphological Neural Networks: Convolution Without Multiplication
Elena Limonova, Daniil Matveev, Dmitry Nikolaev, Vladimir V. Arlazarov
http://arxiv.org/abs/1911.01971v1
• [cs.NI]Boost Your CotS IEEE 802.15.4 Network with Inter-Slot Interference Cancellation for Industrial IoT
H. Murat Gürsu, Hansini Vijayaraghavan, Wolfgang Kellerer
http://arxiv.org/abs/1911.01783v1
• [cs.RO]Benchmarking Simulated Robotic Manipulation through a Real World Dataset
Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner
http://arxiv.org/abs/1911.01557v1
• [cs.RO]Cognitive and motor compliance in intentional human-robot interaction
Hendry Ferreira Chame, Jun Tani
http://arxiv.org/abs/1911.01753v1
• [cs.RO]Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
Diego Ferigo, Silvio Traversaro, Daniele Pucci
http://arxiv.org/abs/1911.01715v1
• [cs.RO]On Solving the 2-Dimensional Greedy Shooter Problem for UAVs
Loren Anderson, Sahitya Senapathy
http://arxiv.org/abs/1911.01419v1
• [cs.RO]Real-time Funnel Generation for Restricted Motion Planning
Hadi Ravanbakhsh, Forrest Laine, Sanjit A. Seshia
http://arxiv.org/abs/1911.01532v1
• [cs.RO]Towards vision-based robotic skins: a data-driven, multi-camera tactile sensor
Camill Trueeb, Carmelo Sferrazza, Raffaello D’Andrea
http://arxiv.org/abs/1910.14526v2
• [cs.SI]Adversarial Enhancement for Community Detection in Complex Networks
Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Feifei Li, Guanrong Chen, Qi Xuan
http://arxiv.org/abs/1911.01670v1
• [cs.SI]Distance-Based Network Partitioning
Paulo J. P. de Souza, Cesar H. Comin, Luciano da F. Costa
http://arxiv.org/abs/1911.01775v1
• [eess.AS]Speaker-invariant Affective Representation Learning via Adversarial Training
Haoqi Li, Ming Tu, Jing Huang, Shrikanth Narayanan, Panayiotis Georgiou
http://arxiv.org/abs/1911.01533v1
• [eess.IV]3D Deformable Convolutions for MRI classification
Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev
http://arxiv.org/abs/1911.01898v1
• [eess.IV]Detection of vertebral fractures in CT using 3D Convolutional Neural Networks
Joeri Nicolaes, Steven Raeymaeckers, David Robben, Guido Wilms, Dirk Vandermeulen, Cesar Libanati, Marc Debois
http://arxiv.org/abs/1911.01816v1
• [eess.IV]Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction
Roberto Souza, Mariana Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne
http://arxiv.org/abs/1911.01458v1
• [eess.IV]Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection
Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati
http://arxiv.org/abs/1911.01477v1
• [eess.IV]Out of distribution detection for intra-operative functional imaging
Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes G. Kenngott, Anant Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
http://arxiv.org/abs/1911.01877v1
• [eess.IV]Spatial Sparse subspace clustering for Compressive Spectral imaging
Jianchen Zhu, Tong Zhang, Shengjie Zhao, Carlos Hinojosa, Zengli Liu, Gonzalo R. Arce
http://arxiv.org/abs/1911.01671v1
• [eess.IV]Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem
Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev
http://arxiv.org/abs/1911.01738v1
• [eess.SP]Convolutional Neural Network-aided Bit-flipping for Belief Propagation Decoding of Polar Codes
Chieh-Fang Teng, Kuan-Shiuan Ho, Chen-Hsi Wu, Sin-Sheng Wong, An-Yeu Wu
http://arxiv.org/abs/1911.01704v1
• [eess.SP]Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison
Hu Qiang, Gao Feifei, Zhang Hao, Jin Shi, Li Geoffrey Ye
http://arxiv.org/abs/1911.01918v1
• [eess.SP]LACI: Low-effort Automatic Calibration of Infrastructure Sensors
Johannes Müller, Martin Herrmann, Jan Strohbeck, Vasileios Belagiannis, Michael Buchholz
http://arxiv.org/abs/1911.01711v1
• [eess.SP]Optimal Transport Based Change Point Detection and Time Series Segment Clustering
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Erika Hussey, Eric L. Miller
http://arxiv.org/abs/1911.01325v1
• [eess.SP]Post-FEC BER Prediction for Bit-Interleaved Coded Modulation with Probabilistic Shaping
Tsuyoshi Yoshida, Alex Alvarado, Magnus Karlsson, Erik Agrell
http://arxiv.org/abs/1911.01585v1
• [eess.SP]Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors
Yiyang Wang, Neda Masoud, Anahita Khojandi
http://arxiv.org/abs/1911.01531v1
• [eess.SP]Unsupervised Learning for Neural Network-based Polar Decoder via Syndrome Loss
Chieh-Fang Teng, An-Yeu Wu
http://arxiv.org/abs/1911.01710v1
• [eess.SY]A Control Chart Approach to Power System Line Outage Detection Under Transient Dynamics
Xiaozhou Yang, Nan Chen, Chao Zhai
http://arxiv.org/abs/1911.01733v1
• [gr-qc]Predicting the properties of black holes merger remnants with Deep Neural Networks
Leïla Haegel, Sascha Husa
http://arxiv.org/abs/1911.01496v1
• [hep-ph]Interpretability Study on Deep Learning for Jet Physics at the Large Hadron Collider
Taoli Cheng
http://arxiv.org/abs/1911.01872v1
• [math.CO]Multilateration of Random Networks with Community Structure
Richard D. Tillquist, Manuel E. Lladser
http://arxiv.org/abs/1911.01521v1
• [math.DS]Can the Elliptic Billiard Still Surprise Us?
Dan Reznik, Ronaldo Garcia, Jair Koiller
http://arxiv.org/abs/1911.01515v1
• [math.NA]Quasi-Monte Carlo sampling for machine-learning partial differential equations
Jingrun Chen, Rui Du, Panchi Li, Liyao Lyu
http://arxiv.org/abs/1911.01612v1
• [math.OC]Generalized Self-concordant Hessian-barrier algorithms
Pavel Dvurechensky, Mathias Staudigl, César A. Uribe
http://arxiv.org/abs/1911.01522v1
• [math.OC]Importance Sampling via Local Sensitivity
Anant Raj, Cameron Musco, Lester Mackey
http://arxiv.org/abs/1911.01575v1
• [math.ST]Behavior of Fréchet mean and Central Limit Theorems on spheres
Do Tran
http://arxiv.org/abs/1911.01985v1
• [math.ST]Consistency of a range of penalised cost approaches for detecting multiple changepoints
Chao Zheng, Idris A. Eckley, Paul Fearnhead
http://arxiv.org/abs/1911.01716v1
• [math.ST]Information Geometry of the Probability Simplex: A Short Course
Giovanni Pistone
http://arxiv.org/abs/1911.01876v1
• [math.ST]Manifold Asymptotics of Quadratic-Form-Based Inference in Repeated Measures Designs
Paavo Sattler
http://arxiv.org/abs/1911.01979v1
• [math.ST]Some comments about measures, Jacobians and Moore-Penrose inverse
José A. Díaz-García, Francisco J. Caro-Lopera
http://arxiv.org/abs/1911.01596v1
• [math.ST]Statistical Inference in Mean-Field Variational Bayes
Wei Han, Yun Yang
http://arxiv.org/abs/1911.01525v1
• [math.ST]The generalization error of max-margin linear classifiers: High-dimensional asymptotics in the overparametrized regime
Andrea Montanari, Feng Ruan, Youngtak Sohn, Jun Yan
http://arxiv.org/abs/1911.01544v1
• [physics.acc-ph]Online tuning and light source control using a physics-informed Gaussian process Adi
A. Hanuka, J. Duris, J. Shtalenkova, D. Kennedy, A. Edelen, D. Ratner, X. Huang
http://arxiv.org/abs/1911.01538v1
• [physics.soc-ph]Constrained Spectral Clustering for Dynamic Community Detection
Abdullah Karaaslanli, Selin Aviyente
http://arxiv.org/abs/1911.01475v1
• [physics.soc-ph]Statistical Properties of Links of Network: A Survey on the Shipping Lines of Worldwide Marine Transport Network
Wenjun Zhang, Weibing Deng, Wei Li
http://arxiv.org/abs/1911.01834v1
• [q-bio.NC]Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides
http://arxiv.org/abs/1911.01721v1
• [q-bio.PE]Minimal percolating sets for mutating infectious diseases
Yuyuan Luo, Laura P. Schaposnik
http://arxiv.org/abs/1911.01988v1
• [q-fin.CP]Deep Hedging: Learning to Simulate Equity Option Markets
Magnus Wiese, Lianjun Bai, Ben Wood, Hans Buehler
http://arxiv.org/abs/1911.01700v1
• [quant-ph]A Note on Quantum Markov Models
Christino Tamon, Weichen Xie
http://arxiv.org/abs/1911.01953v1
• [stat.AP]A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games
Leonardo Egidi, Ioannis Ntzoufras
http://arxiv.org/abs/1911.01815v1
• [stat.AP]Identifying main effects and interactions among exposures using Gaussian processes
Federico Ferrari, David B. Dunson
http://arxiv.org/abs/1911.01910v1
• [stat.AP]Latent likelihood ratio tests for assessing spatial kernels in epidemic models
David Thong, George Streftaris, Gavin J. Gibson
http://arxiv.org/abs/1911.01808v1
• [stat.AP]Multivariate Time-Between-Events Monitoring — An overview and some (overlooked) underlying complexities
Inez Maria Zwetsloot, Tahir Mahmood, William H. Woodall
http://arxiv.org/abs/1911.01607v1
• [stat.AP]Neural Network Based Parameter Estimation Method for the Pareto/NBD Model
Shao-Ming Xie
http://arxiv.org/abs/1911.01919v1
• [stat.AP]Penalized least squares and sign constraints with modified Newton-Raphson algorithms: application to EEG source imaging
Mayrim Vega-Hernandez, Jose M. Sanchez-Bornot, Jhoanna Perez-Hidalgo-Gato, Jose E. Alvarez Iglesias, Eduardo Martinez-Montes, Pedro A. Valdes-Sosa
http://arxiv.org/abs/1911.01961v1
• [stat.CO]Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects
S. G. Jagath Senarathne, Antony M. Overstall, James M. McGree
http://arxiv.org/abs/1911.00878v2
• [stat.ME]A Latent Topic Model with Markovian Transition for Process Data
Haochen Xu, Guanhua Fang, Zhiliang Ying
http://arxiv.org/abs/1911.01583v1
• [stat.ME]Correcting for attenuation due to measurement error
Jonas Moss
http://arxiv.org/abs/1911.01576v1
• [stat.ME]Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise
Heather Mathews, Vaishakhi Mayya, Alexander Volfovsky, Galen Reeves
http://arxiv.org/abs/1911.01855v1
• [stat.ME]Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data
Guanhua Fang, Zhiliang Ying
http://arxiv.org/abs/1911.01516v1
• [stat.ME]Revisiting the probabilistic method of record linkage
Abel Dasylva, Arthur Goussanou, David Ajavon, Hanan Abousaleh
http://arxiv.org/abs/1911.01874v1
• [stat.ME]Stabilizing Variable Selection and Regression
Niklas Pfister, Evan G. Williams, Jonas Peters, Ruedi Aebersold, Peter Bühlmann
http://arxiv.org/abs/1911.01850v1
• [stat.ME]The correlation-assisted missing data estimator
Timothy I. Cannings, Yingying Fan
http://arxiv.org/abs/1911.01859v1
• [stat.ME]Weibull Racing Time-to-event Modeling and Analysis of Online Borrowers’ Loan Payoff and Default
Quan Zhang, Qiang Gao, Mingfeng Lin, Mingyuan Zhou
http://arxiv.org/abs/1911.01827v1
• [stat.ME]Yakovlev Promotion Time Cure Model with Local Polynomial Estimation
Li-Hsiang Lin, Li-Shan Huang
http://arxiv.org/abs/1911.00741v2
• [stat.ML]GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models
Pavel Berkovich, Eric Perim, Wessel Bruinsma
http://arxiv.org/abs/1911.01929v1
• [stat.ML]Improved BiGAN training with marginal likelihood equalization
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Perez-Cruz
http://arxiv.org/abs/1911.01425v1
• [stat.ML]Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry
Andre Wibisono
http://arxiv.org/abs/1911.01469v1
• [stat.ML]Scalable Deep Generative Relational Models with High-Order Node Dependence
Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen
http://arxiv.org/abs/1911.01535v1
• [stat.ML]Statistical Inference for Model Parameters in Stochastic Gradient Descent via Batch Means
Yi Zhu, Jing Dong
http://arxiv.org/abs/1911.01483v1
• [stat.ML]The frontier of simulation-based inference
Kyle Cranmer, Johann Brehmer, Gilles Louppe
http://arxiv.org/abs/1911.01429v1