cond-mat.stat-mech - 统计数学

    cs.AI - 人工智能 cs.CG - 计算几何学 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.GT - 计算机科学与博弈论 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.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AP - 偏微分方程分析 math.DS - 动力系统 math.OC - 优化与控制 math.ST - 统计理论 physics.flu-dyn - 流体动力学 physics.geo-ph - 地球物理学 physics.ins-det - 仪器和探测器 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 q-fin.TR - 贸易与市场微观结构 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]Estimating differential entropy using recursive copula splitting
    • [cs.AI]Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
    • [cs.AI]Deception through Half-Truths
    • [cs.AI]Election Control in Social Networks via Edge Addition or Removal
    • [cs.AI]Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
    • [cs.AI]Partial-Order, Partially-Seen Observations of Fluents or Actions for Plan Recognition as Planning
    • [cs.CG]A Penetration Metric for Deforming Tetrahedra using Object Norm
    • [cs.CL]Contextual Recurrent Units for Cloze-style Reading Comprehension
    • [cs.CL]Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
    • [cs.CL]Ethanos: Lightweight Bootstrapping for Ethereum
    • [cs.CL]FAQ-based Question Answering via Knowledge Anchors
    • [cs.CL]Interactive Attention for Semantic Text Matching
    • [cs.CL]KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
    • [cs.CL]Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
    • [cs.CL]Prevalence of code mixing in semi-formal patient communication in low resource languages of South Africa
    • [cs.CL]Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification
    • [cs.CL]Training a code-switching language model with monolingual data
    • [cs.CL]Unsupervised Domain Adaptation on Reading Comprehension
    • [cs.CL]Unsupervised Pre-training for Natural Language Generation: A Literature Review
    • [cs.CL]What do you mean, BERT? Assessing BERT as a Distributional Semantics Model
    • [cs.CL]Word-level Lexical Normalisation using Context-Dependent Embeddings
    • [cs.CL]t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
    • [cs.CR]Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets
    • [cs.CR]Image-Based Feature Representation for Insider Threat Classification
    • [cs.CR]Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
    • [cs.CV]A Scalable Approach for Facial Action Unit Classifier Training UsingNoisy Data for Pre-Training
    • [cs.CV]Adversarial Transformations for Semi-Supervised Learning
    • [cs.CV]CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation
    • [cs.CV]CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
    • [cs.CV]Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction
    • [cs.CV]EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
    • [cs.CV]Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
    • [cs.CV]GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
    • [cs.CV]HUSE: Hierarchical Universal Semantic Embeddings
    • [cs.CV]Harnessing spatial MRI normalization: patch individual filter layers for CNNs
    • [cs.CV]Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA
    • [cs.CV]LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation
    • [cs.CV]Location-aware Upsampling for Semantic Segmentation
    • [cs.CV]Momentum Contrast for Unsupervised Visual Representation Learning
    • [cs.CV]PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
    • [cs.CV]Progressive Feature Polishing Network for Salient Object Detection
    • [cs.CV]RWF-2000: An Open Large Scale Video Database for Violence Detection
    • [cs.CV]Recursive Filter for Space-Variant Variance Reduction
    • [cs.CV]Self-Supervised Learning For Few-Shot Image Classification
    • [cs.CV]Semantic Granularity Metric Learning for Visual Search
    • [cs.CV]SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
    • [cs.CV]SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
    • [cs.CV]SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
    • [cs.CV]SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification
    • [cs.CV]Towards Pose-invariant Lip-Reading
    • [cs.CY]By the user, for the user: A user-centric approach to quantifying the privacy of websites
    • [cs.CY]Trustworthy Misinformation Mitigation with Soft Information Nudging
    • [cs.DB]Sato: Contextual Semantic Type Detection in Tables
    • [cs.DC]Compile-time Parallelization of Subscripted Subscript Patterns
    • [cs.DS]Graph Spanners in the Message-Passing Model
    • [cs.DS]Recent Advances in Algorithmic High-Dimensional Robust Statistics
    • [cs.GT]Computing Equilibria in Binary Networked Public Goods Games
    • [cs.IT]Double Circulant Self-Dual Codes From Generalized Cyclotomic Classes Modulo 2p
    • [cs.IT]Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
    • [cs.IT]Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel
    • [cs.IT]Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction
    • [cs.IT]Multi-Antenna Aided Secrecy Beamforming Optimization for Wirelessly Powered HetNets
    • [cs.IT]On the Age of Information in Erasure Channels with Feedback
    • [cs.IT]On the Outage Performance of Network NOMA (N-NOMA) Modeled by Poisson Line Cox Point Process
    • [cs.IT]Performance of Two-Way Relaying over $α$-$μ$ Fading Channels in Hybrid RF/FSO Wireless Networks
    • [cs.LG]2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
    • [cs.LG]A Bayesian/Information Theoretic Model of Bias Learning
    • [cs.LG]A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance
    • [cs.LG]A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
    • [cs.LG]A Reduction from Reinforcement Learning to No-Regret Online Learning
    • [cs.LG]Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling
    • [cs.LG]Adversarial Margin Maximization Networks
    • [cs.LG]An Application of Multiple-Instance Learning to Estimate Generalization Risk
    • [cs.LG]An Efficient Hardware-Oriented Dropout Algorithm
    • [cs.LG]Atari-fying the Vehicle Routing Problem with Stochastic Service Requests
    • [cs.LG]Attention on Abstract Visual Reasoning
    • [cs.LG]Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering
    • [cs.LG]Conjugate Gradients for Kernel Machines
    • [cs.LG]Contextual Bandits Evolving Over Finite Time
    • [cs.LG]DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
    • [cs.LG]Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation
    • [cs.LG]Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
    • [cs.LG]Federated and Differentially Private Learning for Electronic Health Records
    • [cs.LG]Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN
    • [cs.LG]Gradientless Descent: High-Dimensional Zeroth-Order Optimization
    • [cs.LG]Hierarchical Graph Pooling with Structure Learning
    • [cs.LG]Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
    • [cs.LG]Learning Model Bias
    • [cs.LG]Learning internal representations
    • [cs.LG]On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
    • [cs.LG]Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
    • [cs.LG]Privacy and Utility Preserving Sensor-Data Transformations
    • [cs.LG]Revenue Maximization of Airbnb Marketplace using Search Results
    • [cs.LG]Robust Parameter-Free Season Length Detection in Time Series
    • [cs.LG]SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model
    • [cs.LG]Supplementary material for Uncorrected least-squares temporal difference with lambda-return
    • [cs.LG]TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
    • [cs.LG]The Canonical Distortion Measure for Vector Quantization and Function Approximation
    • [cs.LG]There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
    • [cs.LG]Triply Robust Off-Policy Evaluation
    • [cs.LG]Understanding the Disharmony between Weight Normalization Family and Weight Decay: $ε-$shifted $L_2$ Regularizer
    • [cs.LG]ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications
    • [cs.NE]LGN-CNN: a biologically inspired CNN architecture
    • [cs.NI]Optimal Server Selection for Straggler Mitigation
    • [cs.NI]Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
    • [cs.RO]Generalized Flexible Hybrid Cable-Driven Robot (HCDR): Modeling, Control, and Analysis
    • [cs.RO]Motion Reasoning for Goal-Based Imitation Learning
    • [cs.RO]Predicting Unobserved Space For Planning via Depth Map Augmentation
    • [cs.RO]Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge
    • [cs.RO]Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
    • [cs.RO]Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
    • [cs.SD]Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
    • [cs.SD]Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
    • [cs.SD]Using musical relationships between chord labels in automatic chord extraction tasks
    • [cs.SI]Hiding in Multilayer Networks
    • [eess.AS]Emotional Voice Conversion using multitask learning with Text-to-speech
    • [eess.AS]The phonetic bases of vocal expressed emotion: natural versus acted
    • [eess.IV]Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs
    • [eess.IV]Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data
    • [eess.IV]Scientific Image Restoration Anywhere
    • [eess.IV]VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications
    • [eess.SP]Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT
    • [eess.SP]An Improved Tobit Kalman Filter with Adaptive Censoring Limits
    • [eess.SP]Condition monitoring and early diagnostics methodologies for hydropower plants
    • [eess.SP]Deep Learning for Over-the-Air Non-Orthogonal Signal Classification
    • [eess.SP]Real-time Anomaly Detection and Classification in Streaming PMU Data
    • [eess.SP]Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
    • [eess.SY]Deep Reinforcement Learning for Adaptive Traffic Signal Control
    • [math.AP]Concordance probability in a big data setting: application in non-life insurance
    • [math.DS]Predicting sparse circle maps from their dynamics
    • [math.OC]Existence of local minima of a minimal 2D pose-graph SLAM problem
    • [math.ST]An Invariant Test for Equality of Two Large Scale Covariance Matrices
    • [math.ST]Kriging: Beyond Matérn
    • [math.ST]Location estimation for symmetric log-concave densities
    • [math.ST]Sparse Density Estimation with Measurement Errors
    • [physics.flu-dyn]Deep learning velocity signals allows to quantify turbulence intensity
    • [physics.geo-ph]A Machine-Learning Approach for Earthquake Magnitude Estimation
    • [physics.geo-ph]Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data
    • [physics.ins-det]AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case
    • [q-bio.QM]AMPL: A Data-Driven Modeling Pipeline for Drug Discovery
    • [q-bio.QM]DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
    • [q-bio.QM]Fetal Head and Abdomen Measurement Using Convolutional Neural Network, Hough Transform, and Difference of Gaussian Revolved along Elliptical Path (Dogell) Algorithm
    • [q-fin.ST]Change-point Analysis in Financial Networks
    • [q-fin.TR]Reinforcement Learning for Market Making in a Multi-agent Dealer Market
    • [quant-ph]A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
    • [quant-ph]Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
    • [stat.AP]Constrained Bayesian ICA for Brain Connectome Inference
    • [stat.AP]Projecting Flood-Inducing Precipitation with a Bayesian Analogue Model
    • [stat.AP]rFIA: An R package for space-time estimation of forest attributes with the Forest Inventory and Analysis Database
    • [stat.ME]A Simulation-free Group Sequential Design with Max-combo Tests in the Presence of Non-proportional Hazards
    • [stat.ME]Empirical Bayes mean estimation with nonparametric errors via order statistic regression
    • [stat.ME]Guidelines for estimating causal effects in pragmatic randomized trials
    • [stat.ME]Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference
    • [stat.ML]A Model of Double Descent for High-dimensional Binary Linear Classification
    • [stat.ML]Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks
    • [stat.ML]Bayesian Optimization with Uncertain Preferences over Attributes
    • [stat.ML]Distributional Clustering: A distribution-preserving clustering method
    • [stat.ML]Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction
    • [stat.ML]Scalable Exact Inference in Multi-Output Gaussian Processes
    • [stat.ML]Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
    • [stat.ML]Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems

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    • [cond-mat.stat-mech]Estimating differential entropy using recursive copula splitting
    Gil Ariel, Yoram Louzoun
    http://arxiv.org/abs/1911.06204v1

    • [cs.AI]Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
    Hugo Gilbert, Tom Portoleau, Olivier Spanjaard
    http://arxiv.org/abs/1911.06226v1

    • [cs.AI]Deception through Half-Truths
    Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik
    http://arxiv.org/abs/1911.05885v1

    • [cs.AI]Election Control in Social Networks via Edge Addition or Removal
    Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti
    http://arxiv.org/abs/1911.06198v1

    • [cs.AI]Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
    Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu
    http://arxiv.org/abs/1911.05889v1

    • [cs.AI]Partial-Order, Partially-Seen Observations of Fluents or Actions for Plan Recognition as Planning
    Jennifer M. Nelson, Rogelio E. Cardona-Rivera
    http://arxiv.org/abs/1911.05876v1

    • [cs.CG]A Penetration Metric for Deforming Tetrahedra using Object Norm
    Jisu Kim, Young J. Kim
    http://arxiv.org/abs/1911.06144v1

    • [cs.CL]Contextual Recurrent Units for Cloze-style Reading Comprehension
    Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu
    http://arxiv.org/abs/1911.05960v1

    • [cs.CL]Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
    Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
    http://arxiv.org/abs/1911.06161v1

    • [cs.CL]Ethanos: Lightweight Bootstrapping for Ethereum
    Jae-Yun Kim, Jun-Mo Lee, Yeon-Jae Koo, Sang-Hyeon Park, Soo-Mook Moon
    http://arxiv.org/abs/1911.05953v1

    • [cs.CL]FAQ-based Question Answering via Knowledge Anchors
    Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin
    http://arxiv.org/abs/1911.05930v1

    • [cs.CL]Interactive Attention for Semantic Text Matching
    Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang
    http://arxiv.org/abs/1911.06146v1

    • [cs.CL]KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
    Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang
    http://arxiv.org/abs/1911.06136v1

    • [cs.CL]Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
    P. Jayashree, Ballijepalli Shreya, P. K. Srijith
    http://arxiv.org/abs/1911.06118v1

    • [cs.CL]Prevalence of code mixing in semi-formal patient communication in low resource languages of South Africa
    Monika Obrocka, Charles Copley, Themba Gqaza, Elizabeth Grant
    http://arxiv.org/abs/1911.05636v2

    • [cs.CL]Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification
    Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage
    http://arxiv.org/abs/1911.06121v1

    • [cs.CL]Training a code-switching language model with monolingual data
    Shun-Po Chuang, Tzu-Wei Sung, Hung-Yi Lee
    http://arxiv.org/abs/1911.06003v1

    • [cs.CL]Unsupervised Domain Adaptation on Reading Comprehension
    Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
    http://arxiv.org/abs/1911.06137v1

    • [cs.CL]Unsupervised Pre-training for Natural Language Generation: A Literature Review
    Yuanxin Liu, Zheng Lin
    http://arxiv.org/abs/1911.06171v1

    • [cs.CL]What do you mean, BERT? Assessing BERT as a Distributional Semantics Model
    Timothee Mickus, Denis Paperno, Mathieu Constant, Kees van Deemeter
    http://arxiv.org/abs/1911.05758v1

    • [cs.CL]Word-level Lexical Normalisation using Context-Dependent Embeddings
    Michael Stewart, Wei Liu, Rachel Cardell-Oliver
    http://arxiv.org/abs/1911.06172v1

    • [cs.CL]t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
    Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
    http://arxiv.org/abs/1911.06147v1

    • [cs.CR]Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets
    Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu
    http://arxiv.org/abs/1911.05927v1

    • [cs.CR]Image-Based Feature Representation for Insider Threat Classification
    Gayathri R G, Atul Sajjanhar, Yong Xiang
    http://arxiv.org/abs/1911.05879v1

    • [cs.CR]Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
    Maede Zolanvari, Marcio A. Teixeira, Lav Gupta, Khaled M. Khan, Raj Jain
    http://arxiv.org/abs/1911.05771v1

    • [cs.CV]A Scalable Approach for Facial Action Unit Classifier Training UsingNoisy Data for Pre-Training
    Alberto Fung, Daniel McDuff
    http://arxiv.org/abs/1911.05946v1

    • [cs.CV]Adversarial Transformations for Semi-Supervised Learning
    Teppei Suzuki, Ikuro Sato
    http://arxiv.org/abs/1911.06181v1

    • [cs.CV]CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation
    Yushuai Hu, Yaochu Jin, Runhua Li, Xiangxiang Zhang
    http://arxiv.org/abs/1911.06080v1

    • [cs.CV]CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
    Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni
    http://arxiv.org/abs/1911.06102v1

    • [cs.CV]Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction
    Kushagra Mahajan, Monika Sharma, Lovekesh Vig
    http://arxiv.org/abs/1911.05870v1

    • [cs.CV]EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
    George Plastiras, Christos Kyrkou, Theocharis Theocharides
    http://arxiv.org/abs/1911.06091v1

    • [cs.CV]Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
    George Plastiras, Christos Kyrkou, Theocharis Theocharides
    http://arxiv.org/abs/1911.06073v1

    • [cs.CV]GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
    Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, Xiaowei Zhou
    http://arxiv.org/abs/1911.05932v1

    • [cs.CV]HUSE: Hierarchical Universal Semantic Embeddings
    Pradyumna Narayana, Aniket Pednekar, Abishek Krishnamoorthy, Kazoo Sone, Sugato Basu
    http://arxiv.org/abs/1911.05978v1

    • [cs.CV]Harnessing spatial MRI normalization: patch individual filter layers for CNNs
    Fabian Eitel, Jan Philipp Albrecht, Friedemann Paul, Kerstin Ritter
    http://arxiv.org/abs/1911.06278v1

    • [cs.CV]Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA
    Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach
    http://arxiv.org/abs/1911.06258v1

    • [cs.CV]LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation
    Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie, Seyed Maziar Tabasi
    http://arxiv.org/abs/1911.05871v1

    • [cs.CV]Location-aware Upsampling for Semantic Segmentation
    Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng
    http://arxiv.org/abs/1911.05250v2

    • [cs.CV]Momentum Contrast for Unsupervised Visual Representation Learning
    Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick
    http://arxiv.org/abs/1911.05722v2

    • [cs.CV]PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
    Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He
    http://arxiv.org/abs/1911.06084v1

    • [cs.CV]Progressive Feature Polishing Network for Salient Object Detection
    Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai
    http://arxiv.org/abs/1911.05942v1

    • [cs.CV]RWF-2000: An Open Large Scale Video Database for Violence Detection
    Ming Cheng, Kunjing Cai, Ming Li
    http://arxiv.org/abs/1911.05913v1

    • [cs.CV]Recursive Filter for Space-Variant Variance Reduction
    Alexander Zamyatin
    http://arxiv.org/abs/1911.04992v2

    • [cs.CV]Self-Supervised Learning For Few-Shot Image Classification
    Da Chen, Yuefeng Chen, Yuhong Li, Feng Mao, Yuan He, Hui Xue
    http://arxiv.org/abs/1911.06045v1

    • [cs.CV]Semantic Granularity Metric Learning for Visual Search
    Dipu Manandhar, Muhammet Bastan, Kim-Hui Yap
    http://arxiv.org/abs/1911.06047v1

    • [cs.CV]SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
    Yinda Xu, Zeyu Wang, Zuoxin Li, Yuan Ye, Gang Yu
    http://arxiv.org/abs/1911.06188v1

    • [cs.CV]SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
    Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim
    http://arxiv.org/abs/1911.05939v1

    • [cs.CV]SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
    Shunwang Gong, Lei Chen, Michael Bronstein, Stefanos Zafeiriou
    http://arxiv.org/abs/1911.05856v1

    • [cs.CV]SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification
    Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao
    http://arxiv.org/abs/1911.05358v2

    • [cs.CV]Towards Pose-invariant Lip-Reading
    Shiyang Cheng, Pingchuan Ma, Georgios Tzimiropoulos, Stavros Petridis, Adrian Bulat, Jie Shen, Maja Pantic
    http://arxiv.org/abs/1911.06095v1

    • [cs.CY]By the user, for the user: A user-centric approach to quantifying the privacy of websites
    Matius Chairani, Mathieu Chevalley, Abderrahmane Lazraq, Sruti Bhagavatula
    http://arxiv.org/abs/1911.05798v1

    • [cs.CY]Trustworthy Misinformation Mitigation with Soft Information Nudging
    Benjamin D. Horne, Maurício Gruppi, Sibel Adalı
    http://arxiv.org/abs/1911.05825v1

    • [cs.DB]Sato: Contextual Semantic Type Detection in Tables
    Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çağatay Demiralp, Wang-Chiew Tan
    http://arxiv.org/abs/1911.06311v1

    • [cs.DC]Compile-time Parallelization of Subscripted Subscript Patterns
    Akshay Bhosale, Rudolf Eigenmann
    http://arxiv.org/abs/1911.05839v1

    • [cs.DS]Graph Spanners in the Message-Passing Model
    Manuel Fernandez, David P. Woodruff, Taisuke Yasuda
    http://arxiv.org/abs/1911.05991v1

    • [cs.DS]Recent Advances in Algorithmic High-Dimensional Robust Statistics
    Ilias Diakonikolas, Daniel M. Kane
    http://arxiv.org/abs/1911.05911v1

    • [cs.GT]Computing Equilibria in Binary Networked Public Goods Games
    Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik
    http://arxiv.org/abs/1911.05788v1

    • [cs.IT]Double Circulant Self-Dual Codes From Generalized Cyclotomic Classes Modulo 2p
    Tongjiang Yan, Wenpeng Gao
    http://arxiv.org/abs/1911.06130v1

    • [cs.IT]Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
    Shiqi Gong, Chengwen Xing, Vincent K. N. Lau, Fellow, IEEE, Sheng Chen, Fellow, IEEE, Lajos Hanzo, Fellow, IEEE
    http://arxiv.org/abs/1911.05906v1

    • [cs.IT]Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel
    Christoph Hellings, Patrick Gest, Thomas Wiegart, Wolfgang Utschick
    http://arxiv.org/abs/1911.05767v1

    • [cs.IT]Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction
    Muhammad Alrabeiah, Andrew Hredzak, Ahmed Alkhateeb
    http://arxiv.org/abs/1911.06255v1

    • [cs.IT]Multi-Antenna Aided Secrecy Beamforming Optimization for Wirelessly Powered HetNets
    Shiqi Gong, Shaodan Ma, Chengwen Xing, Yonghui Li, Fellow, IEEE, Lajos Hanzo, Fellow, IEEE
    http://arxiv.org/abs/1911.05903v1

    • [cs.IT]On the Age of Information in Erasure Channels with Feedback
    Alireza Javani, Marwen Zorgui, Zhiying Wang
    http://arxiv.org/abs/1911.05840v1

    • [cs.IT]On the Outage Performance of Network NOMA (N-NOMA) Modeled by Poisson Line Cox Point Process
    Yanshi Sun, Zhiguo Ding, Xuchu Dai
    http://arxiv.org/abs/1911.04295v2

    • [cs.IT]Performance of Two-Way Relaying over $α$-$μ$ Fading Channels in Hybrid RF/FSO Wireless Networks
    Mohammed A. Amer, Suhail Al-Dharrab
    http://arxiv.org/abs/1911.05959v1

    • [cs.LG]2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
    Tolulope A. Odetola, Katie M. Groves, Syed Rafay Hasan
    http://arxiv.org/abs/1911.05944v1

    • [cs.LG]A Bayesian/Information Theoretic Model of Bias Learning
    Jonathan Baxter
    http://arxiv.org/abs/1911.06129v1

    • [cs.LG]A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance
    Luca Della Libera
    http://arxiv.org/abs/1911.06256v1

    • [cs.LG]A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
    Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji
    http://arxiv.org/abs/1911.06009v1

    • [cs.LG]A Reduction from Reinforcement Learning to No-Regret Online Learning
    Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoff Gordon
    http://arxiv.org/abs/1911.05873v1

    • [cs.LG]Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling
    Mengying Zhu, Xiaolin Zheng, Yan Wang, Yuyuan Li, Qianqiao Liang
    http://arxiv.org/abs/1911.05309v2

    • [cs.LG]Adversarial Margin Maximization Networks
    Ziang Yan, Yiwen Guo, Changshui Zhang
    http://arxiv.org/abs/1911.05916v1

    • [cs.LG]An Application of Multiple-Instance Learning to Estimate Generalization Risk
    Daiki Suehiro
    http://arxiv.org/abs/1911.05999v1

    • [cs.LG]An Efficient Hardware-Oriented Dropout Algorithm
    Yoeng Jye Yeoh, Takashi Morie, Hakaru Tamukoh
    http://arxiv.org/abs/1911.05941v1

    • [cs.LG]Atari-fying the Vehicle Routing Problem with Stochastic Service Requests
    Nicholas D. Kullman, Jorge E. Mendoza, Martin Cousineau, Justin C. Goodson
    http://arxiv.org/abs/1911.05922v1

    • [cs.LG]Attention on Abstract Visual Reasoning
    Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel
    http://arxiv.org/abs/1911.05990v1

    • [cs.LG]Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering
    Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi
    http://arxiv.org/abs/1911.05806v1

    • [cs.LG]Conjugate Gradients for Kernel Machines
    Simon Bartels, Philipp Hennig
    http://arxiv.org/abs/1911.06048v1

    • [cs.LG]Contextual Bandits Evolving Over Finite Time
    Harsh Deshpande, Vishal Jain, Sharayu Moharir
    http://arxiv.org/abs/1911.05956v1

    • [cs.LG]DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
    Isaac Corley, Jonathan Lwowski, Justin Hoffman
    http://arxiv.org/abs/1911.06285v1

    • [cs.LG]Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation
    Mengzhuo Guo, Zhongzhi Xu, Qingpeng Zhang, Xiuwu Liao, Jiapeng Liu
    http://arxiv.org/abs/1911.05909v1

    • [cs.LG]Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
    Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
    http://arxiv.org/abs/1911.05774v1

    • [cs.LG]Federated and Differentially Private Learning for Electronic Health Records
    Stephen R. Pfohl, Andrew M. Dai, Katherine Heller
    http://arxiv.org/abs/1911.05861v1

    • [cs.LG]Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN
    Feng Chen, Yunkai Shang, Bo Xu, Jincheng Hu
    http://arxiv.org/abs/1911.06269v1

    • [cs.LG]Gradientless Descent: High-Dimensional Zeroth-Order Optimization
    Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi, Zhang
    http://arxiv.org/abs/1911.06317v1

    • [cs.LG]Hierarchical Graph Pooling with Structure Learning
    Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang
    http://arxiv.org/abs/1911.05954v1

    • [cs.LG]Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
    Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
    http://arxiv.org/abs/1911.05815v1

    • [cs.LG]Learning Model Bias
    Jonathan Baxter
    http://arxiv.org/abs/1911.06164v1

    • [cs.LG]Learning internal representations
    Jonathan Baxter
    http://arxiv.org/abs/1911.05781v1

    • [cs.LG]On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
    Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
    http://arxiv.org/abs/1911.06217v1

    • [cs.LG]Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
    Haoyu Zhao, Wei Chen
    http://arxiv.org/abs/1911.05949v1

    • [cs.LG]Privacy and Utility Preserving Sensor-Data Transformations
    Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
    http://arxiv.org/abs/1911.05996v1

    • [cs.LG]Revenue Maximization of Airbnb Marketplace using Search Results
    Jiawei Wen, Puya Vahabi, Mihajlo Grbovic
    http://arxiv.org/abs/1911.05887v1

    • [cs.LG]Robust Parameter-Free Season Length Detection in Time Series
    Maximilian Toller, Roman Kern
    http://arxiv.org/abs/1911.06015v1

    • [cs.LG]SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model
    Hideaki Hayashi, Seiichi Uchida
    http://arxiv.org/abs/1911.06028v1

    • [cs.LG]Supplementary material for Uncorrected least-squares temporal difference with lambda-return
    Takayuki Osogami
    http://arxiv.org/abs/1911.06057v1

    • [cs.LG]TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
    Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter Stewart, Joyce Ho, Jimeng Sun
    http://arxiv.org/abs/1911.05843v1

    • [cs.LG]The Canonical Distortion Measure for Vector Quantization and Function Approximation
    Jonathan Baxter
    http://arxiv.org/abs/1911.06319v1

    • [cs.LG]There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
    Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting
    http://arxiv.org/abs/1911.05904v1

    • [cs.LG]Triply Robust Off-Policy Evaluation
    Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue
    http://arxiv.org/abs/1911.05811v1

    • [cs.LG]Understanding the Disharmony between Weight Normalization Family and Weight Decay: $ε-$shifted $L_2$ Regularizer
    Li Xiang, Chen Shuo, Xia Yan, Yang Jian
    http://arxiv.org/abs/1911.05920v1

    • [cs.LG]ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications
    Muhammad Alrabeiah, Andrew Hredzak, Zhenhao Liu, Ahmed Alkhateeb
    http://arxiv.org/abs/1911.06257v1

    • [cs.NE]LGN-CNN: a biologically inspired CNN architecture
    Federico Bertoni, Giovanna Citti, Alessandro Sarti
    http://arxiv.org/abs/1911.06276v1

    • [cs.NI]Optimal Server Selection for Straggler Mitigation
    Ajay Badita, Parimal Parag, Vaneet Aggarwal
    http://arxiv.org/abs/1911.05918v1

    • [cs.NI]Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
    Madyan Alsenwi, Kitae Kim, Choong Seon Hong
    http://arxiv.org/abs/1911.05294v1

    • [cs.RO]Generalized Flexible Hybrid Cable-Driven Robot (HCDR): Modeling, Control, and Analysis
    Ronghuai Qi, Amir Khajepour, William W. Melek
    http://arxiv.org/abs/1911.06222v1

    • [cs.RO]Motion Reasoning for Goal-Based Imitation Learning
    De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox
    http://arxiv.org/abs/1911.05864v1

    • [cs.RO]Predicting Unobserved Space For Planning via Depth Map Augmentation
    Marius Fehr, Tim Taubner, Yang Liu, Roland Siegwart, Cesar Cadena
    http://arxiv.org/abs/1911.05761v1

    • [cs.RO]Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge
    Felix von Drigalski, Christian Schlette, Martin Rudorfer, Nikolaus Correll, Joshua Triyonoputro, Weiwei Wan, Tokuo Tsuji, Tetsuyou Watanabe
    http://arxiv.org/abs/1911.05884v1

    • [cs.RO]Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
    Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg
    http://arxiv.org/abs/1911.06283v1

    • [cs.RO]Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
    Xingxing Zuo, Mingming Zhang, Yiming Chen, Yong Liu, Guoquan Huang, Mingyang Li
    http://arxiv.org/abs/1911.05787v1

    • [cs.SD]Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
    Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous
    http://arxiv.org/abs/1911.05894v1

    • [cs.SD]Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
    Soumi Maiti, Michael I Mandel
    http://arxiv.org/abs/1911.06266v1

    • [cs.SD]Using musical relationships between chord labels in automatic chord extraction tasks
    Tristan Carsault, Jérôme Nika, Philippe Esling
    http://arxiv.org/abs/1911.04973v2

    • [cs.SI]Hiding in Multilayer Networks
    Marcin Waniek, Tomasz P. Michalak, Talal Rahwan
    http://arxiv.org/abs/1911.05947v1

    • [eess.AS]Emotional Voice Conversion using multitask learning with Text-to-speech
    Tae-Ho Kim, Sungjae Cho, Shinkook Choi, Sejik Park, Soo-Young Lee
    http://arxiv.org/abs/1911.06149v1

    • [eess.AS]The phonetic bases of vocal expressed emotion: natural versus acted
    Hira Dhamyal, Shahan A. Memon, Bhiksha Raj, Rita Singh
    http://arxiv.org/abs/1911.05733v1

    • [eess.IV]Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs
    Jeremiah W. Johnson
    http://arxiv.org/abs/1911.06216v1

    • [eess.IV]Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data
    Huidong Xie, Hongming Shan, Ge Wang
    http://arxiv.org/abs/1911.05880v1

    • [eess.IV]Scientific Image Restoration Anywhere
    Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey Fox, Ian Foster
    http://arxiv.org/abs/1911.05878v1

    • [eess.IV]VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications
    Chyuan-Tyng Wu, Leo F. Isikdogan, Sushma Rao, Bhavin Nayak, Timo Gerasimow, Aleksandar Sutic, Liron Ain-kedem, Gilad Michael
    http://arxiv.org/abs/1911.05931v1

    • [eess.SP]Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT
    Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng
    http://arxiv.org/abs/1911.05845v1

    • [eess.SP]An Improved Tobit Kalman Filter with Adaptive Censoring Limits
    Kostas Loumponias, Nicholas Vretos, George Tsaklidis, Petros Daras
    http://arxiv.org/abs/1911.06190v1

    • [eess.SP]Condition monitoring and early diagnostics methodologies for hydropower plants
    Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli, Antonio Piazzi, Fabrizio Ruffini, Mauro Tucci
    http://arxiv.org/abs/1911.06242v1

    • [eess.SP]Deep Learning for Over-the-Air Non-Orthogonal Signal Classification
    Tongyang Xu, Izzat Darwazeh
    http://arxiv.org/abs/1911.06174v1

    • [eess.SP]Real-time Anomaly Detection and Classification in Streaming PMU Data
    Christopher Hannon, Deepjyoti Deka, Dong Jin, Marc Vuffray, Andrey Y. Lokhov
    http://arxiv.org/abs/1911.06316v1

    • [eess.SP]Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
    Wankai Tang, Ming Zheng Chen, Xiangyu Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Yong Zeng, Shi Jin, Qiang Cheng, Tie Jun Cui
    http://arxiv.org/abs/1911.05326v1

    • [eess.SY]Deep Reinforcement Learning for Adaptive Traffic Signal Control
    Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar
    http://arxiv.org/abs/1911.06294v1

    • [math.AP]Concordance probability in a big data setting: application in non-life insurance
    Robin Van Oirbeek, Christopher Grumiau, Tim Verdonck
    http://arxiv.org/abs/1911.06187v1

    • [math.DS]Predicting sparse circle maps from their dynamics
    Felix Krahmer, Christian Kühn, Nada Sissouno
    http://arxiv.org/abs/1911.06312v1

    • [math.OC]Existence of local minima of a minimal 2D pose-graph SLAM problem
    Felix H. Kong, Jiaheng Zhao, Liang Zhao, Shoudong Huang
    http://arxiv.org/abs/1911.05734v1

    • [math.ST]An Invariant Test for Equality of Two Large Scale Covariance Matrices
    Taehyeon Koo, Seonghun Cho, Johan Lim
    http://arxiv.org/abs/1911.06006v1

    • [math.ST]Kriging: Beyond Matérn
    Pulong Ma, Anindya Bhadra
    http://arxiv.org/abs/1911.05865v1

    • [math.ST]Location estimation for symmetric log-concave densities
    Nilanjana Laha
    http://arxiv.org/abs/1911.06225v1

    • [math.ST]Sparse Density Estimation with Measurement Errors
    Xiaowei Yang, Huiming Zhang, Haoyu Wei, Shouzheng Zhang
    http://arxiv.org/abs/1911.06215v1

    • [physics.flu-dyn]Deep learning velocity signals allows to quantify turbulence intensity
    Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi
    http://arxiv.org/abs/1911.05718v2

    • [physics.geo-ph]A Machine-Learning Approach for Earthquake Magnitude Estimation
    S. Mostafa Mousavi, Gregory C. Beroza
    http://arxiv.org/abs/1911.05975v1

    • [physics.geo-ph]Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data
    Lei Han, Juanzhen Sun, Wei Zhang
    http://arxiv.org/abs/1911.06185v1

    • [physics.ins-det]AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case
    E. Cisbani, A. Del Dotto, C. Fanelli, M. Williams, M. Alfred, F. Barbosa, L. Barion, V. Berdnikov, W. Brooks, T. Cao, M. Contalbrigo, S. Danagoulian, A. Datta, M. Demarteau, A. Denisov, M. Diefenthaler, A. Durum, D. Fields, Y. Furletova, C. Gleason, M. Grosse-Perdekamp, M. Hattawy, X. He, H. van Hecke, D. Higinbotham, T. Horn, C. Hyde, Y. Ilieva, G. Kalicy, A. Kebede, B. Kim, M. Liu, J. McKisson, R. Mendez, P. Nadel-Turonski, I. Pegg, D. Romanov, M. Sarsour, C. L. da Silva, J. Stevens, X. Sun, S. Syed, R. Towell, J. Xie, Z. W. Zhao, B. Zihlmann, C. Zorn
    http://arxiv.org/abs/1911.05797v1

    • [q-bio.QM]AMPL: A Data-Driven Modeling Pipeline for Drug Discovery
    Amanda J. Minnich, Kevin McLoughlin, Margaret Tse, Jason Deng, Andrew Weber, Neha Murad, Benjamin D. Madej, Bharath Ramsundar, Tom Rush, Stacie Calad-Thomson, Jim Brase, Jonathan E. Allen
    http://arxiv.org/abs/1911.05211v2

    • [q-bio.QM]DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
    Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang, Sohae Chung, Xiuyuan Wang, Matthew Young, Alireza Radmanesh, Yvonne W. Lui, Narges Razavian
    http://arxiv.org/abs/1911.05567v2

    • [q-bio.QM]Fetal Head and Abdomen Measurement Using Convolutional Neural Network, Hough Transform, and Difference of Gaussian Revolved along Elliptical Path (Dogell) Algorithm
    Kezia Irene, Aditya Yudha P., Harlan Haidi, Nurul Faza, Winston Chandra
    http://arxiv.org/abs/1911.06298v1

    • [q-fin.ST]Change-point Analysis in Financial Networks
    Sayantan Banerjee, Kousik Guhathakurta
    http://arxiv.org/abs/1911.05952v1

    • [q-fin.TR]Reinforcement Learning for Market Making in a Multi-agent Dealer Market
    Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant Reddy, Manuela Veloso
    http://arxiv.org/abs/1911.05892v1

    • [quant-ph]A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
    Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon
    http://arxiv.org/abs/1911.06267v1

    • [quant-ph]Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
    João Caldeira, Joshua Job, Steven H. Adachi, Brian Nord, Gabriel N. Perdue
    http://arxiv.org/abs/1911.06259v1

    • [stat.AP]Constrained Bayesian ICA for Brain Connectome Inference
    Claire Donnat, Leonardo Tozzi, Susan Holmes
    http://arxiv.org/abs/1911.05770v1

    • [stat.AP]Projecting Flood-Inducing Precipitation with a Bayesian Analogue Model
    Gregory P. Bopp, Benjamin A. Shaby, Chris E. Forest, Alfonso Mejía
    http://arxiv.org/abs/1911.05881v1

    • [stat.AP]rFIA: An R package for space-time estimation of forest attributes with the Forest Inventory and Analysis Database
    Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke
    http://arxiv.org/abs/1911.06302v1

    • [stat.ME]A Simulation-free Group Sequential Design with Max-combo Tests in the Presence of Non-proportional Hazards
    Lili Wang, Xiaodong Luo, Cheng Zheng
    http://arxiv.org/abs/1911.05684v2

    • [stat.ME]Empirical Bayes mean estimation with nonparametric errors via order statistic regression
    Nikolaos Ignatiadis, Sujayam Saha, Dennis L. Sun, Omkar Muralidharan
    http://arxiv.org/abs/1911.05970v1

    • [stat.ME]Guidelines for estimating causal effects in pragmatic randomized trials
    Eleanor J. Murray, Sonja A. Swanson, Jessica Young, Miguel A. Hernán
    http://arxiv.org/abs/1911.06030v1

    • [stat.ME]Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference
    Suofei Wu, Jan Hannig, Thomas C. M. Lee
    http://arxiv.org/abs/1911.06177v1

    • [stat.ML]A Model of Double Descent for High-dimensional Binary Linear Classification
    Zeyu Deng, Abla Kammoun, Christos Thrampoulidis
    http://arxiv.org/abs/1911.05822v1

    • [stat.ML]Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks
    Simone Gramsch, Alex Sarishvili, Andre Schmeißer
    http://arxiv.org/abs/1911.06213v1

    • [stat.ML]Bayesian Optimization with Uncertain Preferences over Attributes
    Raul Astudillo, Peter I. Frazier
    http://arxiv.org/abs/1911.05934v1

    • [stat.ML]Distributional Clustering: A distribution-preserving clustering method
    Arvind Krishna, Simon Mak, Roshan Joseph
    http://arxiv.org/abs/1911.05940v1

    • [stat.ML]Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction
    Yoonjung Kim, Jeremy C. Weiss
    http://arxiv.org/abs/1911.05109v2

    • [stat.ML]Scalable Exact Inference in Multi-Output Gaussian Processes
    Wessel P. Bruinsma, Eric Perim, Will Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
    http://arxiv.org/abs/1911.06287v1

    • [stat.ML]Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
    Michael Perlmutter, Feng Gao, Guy Wolf, Matthew Hirn
    http://arxiv.org/abs/1911.06253v1

    • [stat.ML]Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems
    Aditya Narayan Ravi, Pranav Poduval, Dr. Sharayu Moharir
    http://arxiv.org/abs/1911.06239v1