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.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 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

    • [cs.AI]Novel Approach for Solving a Variant of Equal Flow Problem
    • [cs.AI]OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction
    • [cs.AI]Qualitative Numeric Planning: Reductions and Complexity
    • [cs.AI]Toward XAI for Intelligent Tutoring Systems: A Case Study
    • [cs.CL]A Novel Topology for End-to-end Temporal Classification and Segmentation with Recurrent Neural Network
    • [cs.CL]Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic
    • [cs.CL]Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation
    • [cs.CL]Fraud detection in telephone conversations for financial services using linguistic features
    • [cs.CL]GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies
    • [cs.CL]Homograph Disambiguation Through Selective Diacritic Restoration
    • [cs.CL]How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning
    • [cs.CL]Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset
    • [cs.CR]Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing
    • [cs.CV]3D Particle Positions from Computer Stereo Vision in PK-4
    • [cs.CV]3D-GMNet: Learning to Estimate 3D Shape from A Single Image As A Gaussian Mixture
    • [cs.CV]A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
    • [cs.CV]Appending Adversarial Frames for Universal Video Attack
    • [cs.CV]Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability
    • [cs.CV]Basis Prediction Networks for Effective Burst Denoising with Large Kernels
    • [cs.CV]Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
    • [cs.CV]Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation
    • [cs.CV]Comprehensive Soccer Video Understanding: Towards Human-comparable Video Understanding System in Constrained Environment
    • [cs.CV]Context-Dependent Models for Predicting and Characterizing Facial Expressiveness
    • [cs.CV]DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
    • [cs.CV]Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments
    • [cs.CV]Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection
    • [cs.CV]DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
    • [cs.CV]Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM
    • [cs.CV]Efficient Differentiable Neural Architecture Search with Meta Kernels
    • [cs.CV]End-to-end facial and physiological model for \Affective Computing and applications
    • [cs.CV]Feature Losses for Adversarial Robustness
    • [cs.CV]Flow-Distilled IP Two-Stream Networks for Compressed Video ActionRecognition
    • [cs.CV]Forecasting Future Sequence of Actions to Complete an Activity
    • [cs.CV]Grasping in the Wild:Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
    • [cs.CV]HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data
    • [cs.CV]HalluciNet-ing Spatiotemporal Representations Using 2D-CNN
    • [cs.CV]Learning Depth-Guided Convolutions for Monocular 3D Object Detection
    • [cs.CV]Learning to Discriminate Information for Online Action Detection
    • [cs.CV]Learning to generate new indoor scenes
    • [cs.CV]Listen to Look: Action Recognition by Previewing Audio
    • [cs.CV]Low-rank representations with incoherent dictionary for face recognition
    • [cs.CV]MDFN: Multi-Scale Deep Feature Learning Network for Object Detection
    • [cs.CV]Modular Multimodal Architecture for Document Classification
    • [cs.CV]NeuRoRA: Neural Robust Rotation Averaging
    • [cs.CV]Neural Point Cloud Rendering via Multi-Plane Projection
    • [cs.CV]Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool
    • [cs.CV]Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
    • [cs.CV]Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks
    • [cs.CV]SOLO: Segmenting Objects by Locations
    • [cs.CV]STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection
    • [cs.CV]Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
    • [cs.CV]SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery
    • [cs.CV]SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching
    • [cs.CV]To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions
    • [cs.CV]Towards Latent Space Optimality for Auto-Encoder Based Generative Models
    • [cs.CV]Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
    • [cs.CY]Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
    • [cs.CY]Roles for Computing in Social Change
    • [cs.DB]SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence
    • [cs.DC]Cross-Chain Payment Protocols with Success Guarantees
    • [cs.DC]Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric
    • [cs.DC]Using asynchronous simulation approach for interactive simulation
    • [cs.ET]Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification
    • [cs.HC]Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
    • [cs.HC]Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
    • [cs.HC]edBB: Biometrics and Behavior for Assessing Remote Education
    • [cs.IR]Duet at TREC 2019 Deep Learning Track
    • [cs.IR]Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
    • [cs.IR]The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
    • [cs.IT]An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity
    • [cs.IT]Design Trade-offs for Decentralized Baseband Processing in Massive MU-MIMO Systems
    • [cs.IT]Learning to Code: Coded Caching via Deep Reinforcement Learning
    • [cs.IT]On the Capacity Regions of Cloud Radio Access Networks with Limited Orthogonal Fronthaul
    • [cs.IT]On the Convex Properties of Wireless Power Transfer with Nonlinear Energy Harvesting
    • [cs.IT]Revisiting zero-rate bounds on the reliability function of discrete memoryless channels
    • [cs.IT]Throughput Maximization for Full-Duplex UAV Aided Small Cell Wireless Systems
    • [cs.LG]A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
    • [cs.LG]Accurate Entrance Position Detection Based on Wi-Fi and GPS Signals Using Machine Learning
    • [cs.LG]Backprop Diffusion is Biologically Plausible
    • [cs.LG]Deep Bayesian Reward Learning from Preferences
    • [cs.LG]Deep Latent Factor Model for Collaborative Filtering
    • [cs.LG]Deep symbolic regression: Recovering mathematical expressions from data via policy gradients
    • [cs.LG]Depth-Width Trade-offs for ReLU Networks via Sharkovsky’s Theorem
    • [cs.LG]Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer’s disease
    • [cs.LG]Exact expressions for double descent and implicit regularization via surrogate random design
    • [cs.LG]Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques
    • [cs.LG]Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
    • [cs.LG]Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
    • [cs.LG]Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data
    • [cs.LG]Magnitude and Uncertainty Pruning Criterion for Neural Networks
    • [cs.LG]Neural Network Based Explicit MPC for Chemical Reactor Control
    • [cs.LG]No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features
    • [cs.LG]On Certifying Robust Models by Polyhedral Envelope
    • [cs.LG]Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification
    • [cs.LG]Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning
    • [cs.LG]Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
    • [cs.LG]Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks
    • [cs.LG]Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint
    • [cs.LG]SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads
    • [cs.LG]Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
    • [cs.LG]Transfer Learning-Based Outdoor Position Recovery with Telco Data
    • [cs.LG]Transformed Subspace Clustering
    • [cs.LG]Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
    • [cs.LG]Winning the Lottery with Continuous Sparsification
    • [cs.LG]libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications
    • [cs.RO]AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
    • [cs.RO]Assessing the Search and Rescue Domain as an Applied and Realistic Benchmark for Robotic Systems
    • [cs.RO]Development of a Tendon Driven Variable Stiffness Continuum Robot with Layer Jamming
    • [cs.RO]Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions
    • [cs.RO]Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications
    • [cs.RO]Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model
    • [cs.SE]Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules
    • [cs.SI]Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks
    • [econ.EM]Adaptive Dynamic Model Averaging with an Application to House Price Forecasting
    • [eess.AS]Quantifying the Chaos Level of Infants’ Environment via Unsupervised Learning
    • [eess.IV]Calcaneus Radiograph Analysis System: Calcaneal Angles Measurement and Fracture Identification
    • [eess.IV]DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
    • [eess.IV]Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data
    • [eess.IV]Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images
    • [eess.IV]Understanding 3D CNN Behavior for Alzheimer’s Disease Diagnosis from Brain PET Scan
    • [eess.IV]WCE Polyp Detection with Triplet based Embeddings
    • [eess.SP]DeepMUSIC: Direction Finding via Deep Learning
    • [eess.SP]Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing
    • [eess.SP]Error analysis of mixed THz0RF wireless systems
    • [eess.SP]Inverse LDM’ and LU Factorizations of a Partitioned Matrix with the Square-root and Division Free Version for V-BLAST
    • [eess.SP]Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform Noise
    • [eess.SY]Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint
    • [math.CO]Infinite families of $2$-designs from a class of non-binary Kasami cyclic codes
    • [math.NA]Time-parallel simulation of the Schrödinger Equation
    • [math.OC]Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
    • [math.PR]Rates of convergence to the local time of Oscillating and Skew Brownian Motions
    • [math.ST]Adaptive Manifold Clustering
    • [math.ST]Classification under local differential privacy
    • [math.ST]Testing and Estimating Change-Points in the Covariance Matrix of a High-Dimensional Time Series
    • [nlin.AO]Explosive higher-order Kuramoto dynamics on simplicial complexes
    • [physics.comp-ph]JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python
    • [physics.data-an]The Probabilistic Backbone of Data-Driven Complex Networks: An example in Climate
    • [quant-ph]Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm
    • [stat.AP]Identification of causal intervention effects under contagion
    • [stat.AP]Semiparametric Regression for Dual Population Mortality
    • [stat.AP]Stylised Choropleth Maps for New Zealand Regions and District Health Boards
    • [stat.CO]Optimizing and accelerating space-time Ripley’s K function based on Apache Spark for distributed spatiotemporal point pattern analysis
    • [stat.ME]Controlling false discovery exceedance for heterogeneous tests
    • [stat.ME]Generalised Network Autoregressive Processes and the GNAR package
    • [stat.ME]Spatial hierarchical modeling of threshold exceedances using rate mixtures
    • [stat.ME]Variable selection for transportability
    • [stat.ME]What is the best predictor that you can compute in five minutes using a given Bayesian hierarchical model?
    • [stat.ML]Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models
    • [stat.ML]Histogram Transform Ensembles for Large-scale Regression
    • [stat.ML]Privacy-preserving data sharing via probabilistic modelling
    • [stat.ML]Statistically Robust Neural Network Classification

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

    • [cs.AI]Novel Approach for Solving a Variant of Equal Flow Problem
    Sasikanth Goteti, Swapnil Kumar
    http://arxiv.org/abs/1912.04034v2

    • [cs.AI]OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction
    Anna Breit, Asan Agibetov, Matthias Samwald
    http://arxiv.org/abs/1912.04616v1

    • [cs.AI]Qualitative Numeric Planning: Reductions and Complexity
    Blai Bonet, Hector Geffner
    http://arxiv.org/abs/1912.04816v1

    • [cs.AI]Toward XAI for Intelligent Tutoring Systems: A Case Study
    Vanessa Putnam, Lea Riegel, Cristina Conati
    http://arxiv.org/abs/1912.04464v1

    • [cs.CL]A Novel Topology for End-to-end Temporal Classification and Segmentation with Recurrent Neural Network
    Taiyang Zhao
    http://arxiv.org/abs/1912.04784v1

    • [cs.CL]Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic
    Seid Muhie Yimam, Abinew Ali Ayele, Chris Biemann
    http://arxiv.org/abs/1912.04419v1

    • [cs.CL]Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation
    Mitchell A. Gordon, Kevin Duh
    http://arxiv.org/abs/1912.03334v1

    • [cs.CL]Fraud detection in telephone conversations for financial services using linguistic features
    Nikesh Bajaj, Tracy Goodluck Constance, Marvin Rajwadi, Julie Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings, Chris Woodruff, James Laird
    http://arxiv.org/abs/1912.04748v1

    • [cs.CL]GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies
    Marta R. Costa-jussà, Pau Li Lin, Cristina España-Bonet
    http://arxiv.org/abs/1912.04778v1

    • [cs.CL]Homograph Disambiguation Through Selective Diacritic Restoration
    Sawsan Alqahtani, Hanan Aldarmaki, Mona Diab
    http://arxiv.org/abs/1912.04479v1

    • [cs.CL]How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning
    Lu Li, Zhongheng He, Xiangyang Zhou, Dianhai Yu
    http://arxiv.org/abs/1912.04664v1

    • [cs.CL]Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset
    Gustavo Penha, Alexandru Balan, Claudia Hauff
    http://arxiv.org/abs/1912.04639v1

    • [cs.CR]Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing
    Anudit Nagar
    http://arxiv.org/abs/1912.04859v1

    • [cs.CV]3D Particle Positions from Computer Stereo Vision in PK-4
    Daniel P. Mohr, Peter Huber, Mierk Schwabe, Christina A. Knapek
    http://arxiv.org/abs/1912.04333v1

    • [cs.CV]3D-GMNet: Learning to Estimate 3D Shape from A Single Image As A Gaussian Mixture
    Kohei Yamashita, Shohei Nobuhara, Ko Nishino
    http://arxiv.org/abs/1912.04663v1

    • [cs.CV]A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
    Jinjin Zhang
    http://arxiv.org/abs/1912.04561v1

    • [cs.CV]Appending Adversarial Frames for Universal Video Attack
    Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian
    http://arxiv.org/abs/1912.04538v1

    • [cs.CV]Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability
    Shuaicheng Liu, Zehao Zhang, Kai Song, Bing Zeng
    http://arxiv.org/abs/1912.04518v1

    • [cs.CV]Basis Prediction Networks for Effective Burst Denoising with Large Kernels
    Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
    http://arxiv.org/abs/1912.04421v1

    • [cs.CV]Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
    Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille
    http://arxiv.org/abs/1912.04363v1

    • [cs.CV]Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation
    Gedas Bertasius, Lorenzo Torresani
    http://arxiv.org/abs/1912.04573v1

    • [cs.CV]Comprehensive Soccer Video Understanding: Towards Human-comparable Video Understanding System in Constrained Environment
    YudongJiang, KaixuCui, LeileiChen, CanjinWang, Chen Wang, Hui Liu, ChangliangXu
    http://arxiv.org/abs/1912.04465v1

    • [cs.CV]Context-Dependent Models for Predicting and Characterizing Facial Expressiveness
    Victoria Lin, Jeffrey M. Girard, Louis-Philippe Morency
    http://arxiv.org/abs/1912.04523v1

    • [cs.CV]DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
    Yingqian Wang, Tianhao Wu, Jungang Yang, Longguang Wang, Wei An, Yulan Guo
    http://arxiv.org/abs/1912.04459v1

    • [cs.CV]Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments
    Mert Kayhan, Okan Köpüklü, Mhd Hasan Sarhan, Mehmet Yigitsoy, Abouzar Eslami, Gerhard Rigoll
    http://arxiv.org/abs/1912.04618v1

    • [cs.CV]Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection
    Albert Akhriev, Jakub Marecek
    http://arxiv.org/abs/1912.04418v1

    • [cs.CV]DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
    Aljaž Božič, Michael Zollhöfer, Christian Theobalt, Matthias Nießner
    http://arxiv.org/abs/1912.04302v1

    • [cs.CV]Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM
    Debaditya Roy, Tetsuhiro Ishizaka, Krishna Mohan C., Atsushi Fukuda
    http://arxiv.org/abs/1912.04801v1

    • [cs.CV]Efficient Differentiable Neural Architecture Search with Meta Kernels
    Shoufa Chen, Yunpeng Chen, Shuicheng Yan, Jiashi Feng
    http://arxiv.org/abs/1912.04749v1

    • [cs.CV]End-to-end facial and physiological model for \Affective Computing and applications
    Joaquim Comas, Decky Aspandi, Xavier Binefa
    http://arxiv.org/abs/1912.04711v1

    • [cs.CV]Feature Losses for Adversarial Robustness
    Kirthi Shankar Sivamani
    http://arxiv.org/abs/1912.04497v1

    • [cs.CV]Flow-Distilled IP Two-Stream Networks for Compressed Video ActionRecognition
    Shiyuan Huang, Xudong Lin, Svebor Karaman, Shih-Fu Chang
    http://arxiv.org/abs/1912.04462v1

    • [cs.CV]Forecasting Future Sequence of Actions to Complete an Activity
    Yan Bin Ng, Basura Fernando
    http://arxiv.org/abs/1912.04608v1

    • [cs.CV]Grasping in the Wild:Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
    Shuran Song, Andy Zeng, Johnny Lee, Thomas Funkhouser
    http://arxiv.org/abs/1912.04344v1

    • [cs.CV]HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data
    Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini
    http://arxiv.org/abs/1912.04441v1

    • [cs.CV]HalluciNet-ing Spatiotemporal Representations Using 2D-CNN
    Paritosh Parmar, Brendan Morris
    http://arxiv.org/abs/1912.04430v1

    • [cs.CV]Learning Depth-Guided Convolutions for Monocular 3D Object Detection
    Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo
    http://arxiv.org/abs/1912.04799v1

    • [cs.CV]Learning to Discriminate Information for Online Action Detection
    Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim
    http://arxiv.org/abs/1912.04461v1

    • [cs.CV]Learning to generate new indoor scenes
    Pulak Purkait, Christopher Zach, Ian Reid
    http://arxiv.org/abs/1912.04554v1

    • [cs.CV]Listen to Look: Action Recognition by Previewing Audio
    Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
    http://arxiv.org/abs/1912.04487v1

    • [cs.CV]Low-rank representations with incoherent dictionary for face recognition
    Pei Xie, He-Feng Yin, Xiao-Jun Wu
    http://arxiv.org/abs/1912.04478v1

    • [cs.CV]MDFN: Multi-Scale Deep Feature Learning Network for Object Detection
    Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang
    http://arxiv.org/abs/1912.04514v1

    • [cs.CV]Modular Multimodal Architecture for Document Classification
    Tyler Dauphinee, Nikunj Patel, Mohammad Rashidi
    http://arxiv.org/abs/1912.04376v1

    • [cs.CV]NeuRoRA: Neural Robust Rotation Averaging
    Pulak Purkait, Tat-Jun Chin, Ian Reid
    http://arxiv.org/abs/1912.04485v1

    • [cs.CV]Neural Point Cloud Rendering via Multi-Plane Projection
    Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng
    http://arxiv.org/abs/1912.04645v1

    • [cs.CV]Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool
    Konstantinos Rematas, Vittorio Ferrari
    http://arxiv.org/abs/1912.04591v1

    • [cs.CV]Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
    Yonglin Tian, Lichao Huang, Xuesong Li, Yuan Li, Zilei Wang, Fei-Yue Wang
    http://arxiv.org/abs/1912.04775v1

    • [cs.CV]Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks
    Abhijit Suprem, Rodrigo Alves Lima, Bruno Padilha, Joao Eduardo Ferreira, Calton Pu
    http://arxiv.org/abs/1912.04423v1

    • [cs.CV]SOLO: Segmenting Objects by Locations
    Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li
    http://arxiv.org/abs/1912.04488v1

    • [cs.CV]STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection
    Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara
    http://arxiv.org/abs/1912.04316v1

    • [cs.CV]Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
    Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, YuZhang, Jon Shlens, Zhifeng Chen, Dragomir Anguelov
    http://arxiv.org/abs/1912.04838v1

    • [cs.CV]SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery
    Xin Hou, Biao Wang, Wanqi Hu, Lei Yin, Haishan Wu
    http://arxiv.org/abs/1912.03685v2

    • [cs.CV]SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching
    Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski
    http://arxiv.org/abs/1912.04627v1

    • [cs.CV]To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions
    Junjie Zhang, Lingqiao Liu, Peng Wang, Chunhua Shen
    http://arxiv.org/abs/1912.04486v1

    • [cs.CV]Towards Latent Space Optimality for Auto-Encoder Based Generative Models
    Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh AP
    http://arxiv.org/abs/1912.04564v1

    • [cs.CV]Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
    Alexander Mai, Joseph Menke, Allen Yang
    http://arxiv.org/abs/1912.04384v1

    • [cs.CY]Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
    Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke
    http://arxiv.org/abs/1912.04255v2

    • [cs.CY]Roles for Computing in Social Change
    Rediet Abebe, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson
    http://arxiv.org/abs/1912.04883v1

    • [cs.DB]SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence
    Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl
    http://arxiv.org/abs/1912.04648v1

    • [cs.DC]Cross-Chain Payment Protocols with Success Guarantees
    Rob van Glabbeek, Vincent Gramoli, Pierre Tholoniat
    http://arxiv.org/abs/1912.04513v1

    • [cs.DC]Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric
    Ence Zhou, Haoli Sun, Bingfeng Pi, Jun Sun, Kazuhiro Yamashita, Yoshihide Nomura
    http://arxiv.org/abs/1912.04526v1

    • [cs.DC]Using asynchronous simulation approach for interactive simulation
    Mengchen Wang, Nicolas Ferey, Patrick Bourdot, Frederic Magoules
    http://arxiv.org/abs/1912.04352v1

    • [cs.ET]Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification
    Farid Kenarangi, Xuan Hu, Yihan Liu, Jean Anne C. Incorvia, Joseph S. Friedman, Inna Partin-Vaisband
    http://arxiv.org/abs/1912.04068v1

    • [cs.HC]Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
    Angie Boggust, Brandon Carter, Arvind Satyanarayan
    http://arxiv.org/abs/1912.04853v1

    • [cs.HC]Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
    Chris Xiaoxuan Lu, Bowen Du, Hongkai Wen, Sen Wang, Andrew Markham, Ivan Martinovic, Yiran Shen, Niki Trigoni
    http://arxiv.org/abs/1912.04836v1

    • [cs.HC]edBB: Biometrics and Behavior for Assessing Remote Education
    Javier Hernandez-Ortega, Roberto Daza, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
    http://arxiv.org/abs/1912.04786v1

    • [cs.IR]Duet at TREC 2019 Deep Learning Track
    Bhaskar Mitra, Nick Craswell
    http://arxiv.org/abs/1912.04471v1

    • [cs.IR]Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
    Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
    http://arxiv.org/abs/1912.04713v1

    • [cs.IR]The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
    Kowald Dominik, Schedl Markus, Lex Elisabeth
    http://arxiv.org/abs/1912.04696v1

    • [cs.IT]An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity
    Ali Bereyhi, Ralf R. Müller
    http://arxiv.org/abs/1912.04572v1

    • [cs.IT]Design Trade-offs for Decentralized Baseband Processing in Massive MU-MIMO Systems
    Kaipeng Li, James McNaney, Chance Tarver, Oscar Castañeda, Charles Jeon, Joseph R. Cavallaro, Christoph Studer
    http://arxiv.org/abs/1912.04437v1

    • [cs.IT]Learning to Code: Coded Caching via Deep Reinforcement Learning
    Navid Naderializadeh, Seyed Mohammad Asghari
    http://arxiv.org/abs/1912.04321v1

    • [cs.IT]On the Capacity Regions of Cloud Radio Access Networks with Limited Orthogonal Fronthaul
    Shouvik Ganguly, Seung-Eun Hong, Young-Han Kim
    http://arxiv.org/abs/1912.04483v1

    • [cs.IT]On the Convex Properties of Wireless Power Transfer with Nonlinear Energy Harvesting
    Yulin Hu, Xiaopeng Yuan, Tianyu Yang, Bruno Clerckx, Anke Schmeink
    http://arxiv.org/abs/1912.04785v1

    • [cs.IT]Revisiting zero-rate bounds on the reliability function of discrete memoryless channels
    Marco Bondaschi, Marco Dalai
    http://arxiv.org/abs/1912.04411v1

    • [cs.IT]Throughput Maximization for Full-Duplex UAV Aided Small Cell Wireless Systems
    Meng Hua, Luxi Yang, Cunhua Pan, Arumugam Nallanathan
    http://arxiv.org/abs/1912.04532v1

    • [cs.LG]A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
    Pan Xu, Quanquan Gu
    http://arxiv.org/abs/1912.04511v1

    • [cs.LG]Accurate Entrance Position Detection Based on Wi-Fi and GPS Signals Using Machine Learning
    Ahmad Abadleh
    http://arxiv.org/abs/1912.04556v1

    • [cs.LG]Backprop Diffusion is Biologically Plausible
    Alessandro Betti, Marco Gori
    http://arxiv.org/abs/1912.04635v1

    • [cs.LG]Deep Bayesian Reward Learning from Preferences
    Daniel S. Brown, Scott Niekum
    http://arxiv.org/abs/1912.04472v1

    • [cs.LG]Deep Latent Factor Model for Collaborative Filtering
    Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar
    http://arxiv.org/abs/1912.04754v1

    • [cs.LG]Deep symbolic regression: Recovering mathematical expressions from data via policy gradients
    Brenden K. Petersen
    http://arxiv.org/abs/1912.04871v1

    • [cs.LG]Depth-Width Trade-offs for ReLU Networks via Sharkovsky’s Theorem
    Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang
    http://arxiv.org/abs/1912.04378v1

    • [cs.LG]Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer’s disease
    Rishu Garg, Rekh Ram Janghel, Yogesh Rathore
    http://arxiv.org/abs/1912.04453v1

    • [cs.LG]Exact expressions for double descent and implicit regularization via surrogate random design
    Michał Dereziński, Feynman Liang, Michael W. Mahoney
    http://arxiv.org/abs/1912.04533v1

    • [cs.LG]Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques
    Ibrahim Yilmaz, Rahat Masum
    http://arxiv.org/abs/1912.04549v1

    • [cs.LG]Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
    Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tino, Barbara Hammer
    http://arxiv.org/abs/1912.04832v1

    • [cs.LG]Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
    Samuel Kim, Peter Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic
    http://arxiv.org/abs/1912.04825v1

    • [cs.LG]Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data
    Francesca Baldini, Animashree Anandkumar, Richard M. Murray
    http://arxiv.org/abs/1912.04527v1

    • [cs.LG]Magnitude and Uncertainty Pruning Criterion for Neural Networks
    Vinnie Ko, Stefan Oehmcke, Fabian Gieseke
    http://arxiv.org/abs/1912.04845v1

    • [cs.LG]Neural Network Based Explicit MPC for Chemical Reactor Control
    Karol Kiš, Martin Klaučo
    http://arxiv.org/abs/1912.04684v1

    • [cs.LG]No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features
    Kan Li, Jose C. Principe
    http://arxiv.org/abs/1912.04530v1

    • [cs.LG]On Certifying Robust Models by Polyhedral Envelope
    Chen Liu, Mathieu Salzmann, Sabine Süsstrunk
    http://arxiv.org/abs/1912.04792v1

    • [cs.LG]Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification
    Amir Farzad, T. Aaron Gulliver
    http://arxiv.org/abs/1912.04747v1

    • [cs.LG]Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning
    Vanika Singhal, Angshul Majumdar
    http://arxiv.org/abs/1912.04690v1

    • [cs.LG]Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
    Mohammed Amer, Tomás Maul
    http://arxiv.org/abs/1912.04508v1

    • [cs.LG]Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks
    Stephen Casper, Xavier Boix, Vanessa D’Amario, Ling Guo, Kasper Vinken, Gabriel Kreiman
    http://arxiv.org/abs/1912.04783v1

    • [cs.LG]Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint
    Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
    http://arxiv.org/abs/1912.04862v1

    • [cs.LG]SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads
    Sam, Xi, Yuan Yao, Kshitij Bhardwaj, Paul Whatmough, Gu-Yeon Wei, David Brooks
    http://arxiv.org/abs/1912.04481v1

    • [cs.LG]Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
    Harrison Nguyen, Simon Luo, Fabio Ramos
    http://arxiv.org/abs/1912.04391v1

    • [cs.LG]Transfer Learning-Based Outdoor Position Recovery with Telco Data
    Yige Zhang, Aaron Yi Ding, Jorg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao
    http://arxiv.org/abs/1912.04521v1

    • [cs.LG]Transformed Subspace Clustering
    Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux
    http://arxiv.org/abs/1912.04734v1

    • [cs.LG]Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
    Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
    http://arxiv.org/abs/1912.04695v1

    • [cs.LG]Winning the Lottery with Continuous Sparsification
    Pedro Savarese, Hugo Silva, Michael Maire
    http://arxiv.org/abs/1912.04427v1

    • [cs.LG]libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications
    Jocelyn Sunseri, David Ryan Koes
    http://arxiv.org/abs/1912.04822v1

    • [cs.RO]AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
    Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine
    http://arxiv.org/abs/1912.04443v1

    • [cs.RO]Assessing the Search and Rescue Domain as an Applied and Realistic Benchmark for Robotic Systems
    Frank E. Schneider, Dennis Wildermuth
    http://arxiv.org/abs/1912.04693v1

    • [cs.RO]Development of a Tendon Driven Variable Stiffness Continuum Robot with Layer Jamming
    Zhong Ouyang
    http://arxiv.org/abs/1912.04473v1

    • [cs.RO]Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions
    Qi Yan, Li Jiang, Solmaz Kia
    http://arxiv.org/abs/1912.04709v1

    • [cs.RO]Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications
    Manoj Penmetcha, Shyam Sundar Kannan, Byung-Cheol Min
    http://arxiv.org/abs/1912.02927v2

    • [cs.RO]Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model
    Takuya Ohashi, Yosuke Ikegami, Kazuki Yamamoto, Wataru Takano, Yoshihiko Nakamura
    http://arxiv.org/abs/1912.03880v2

    • [cs.SE]Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules
    Yinxing Xue, Jiaming Ye, Mingliang Ma, Lei Ma, Yi Li, Haijun Wang, Yun Lin, Tianyong Peng, Yang Liu
    http://arxiv.org/abs/1912.04466v1

    • [cs.SI]Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks
    Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Juneja, Ponnurangam Kumaraguru
    http://arxiv.org/abs/1912.04579v1

    • [econ.EM]Adaptive Dynamic Model Averaging with an Application to House Price Forecasting
    Alisa Yusupova, Nicos G. Pavlidis, Efthymios G. Pavlidis
    http://arxiv.org/abs/1912.04661v1

    • [eess.AS]Quantifying the Chaos Level of Infants’ Environment via Unsupervised Learning
    Priyanka Khante, Mai Lee Chang, Domingo Martinez, Kaya de Barbaro, Edison Thomaz
    http://arxiv.org/abs/1912.04844v1

    • [eess.IV]Calcaneus Radiograph Analysis System: Calcaneal Angles Measurement and Fracture Identification
    Jia Guo, Shumeng Wang, Junxian Chen, Huiqi Li
    http://arxiv.org/abs/1912.04536v1

    • [eess.IV]DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
    Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao
    http://arxiv.org/abs/1912.04670v1

    • [eess.IV]Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data
    Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
    http://arxiv.org/abs/1912.04278v1

    • [eess.IV]Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images
    Mohammad Ibrahim Sarker, Hyongsuk Kim, Denis Tarasov, Dinar Akhmetzanov
    http://arxiv.org/abs/1912.04619v1

    • [eess.IV]Understanding 3D CNN Behavior for Alzheimer’s Disease Diagnosis from Brain PET Scan
    Jyoti Islam, Yanqing Zhang
    http://arxiv.org/abs/1912.04563v1

    • [eess.IV]WCE Polyp Detection with Triplet based Embeddings
    Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí
    http://arxiv.org/abs/1912.04643v1

    • [eess.SP]DeepMUSIC: Direction Finding via Deep Learning
    Ahmet M. Elbir
    http://arxiv.org/abs/1912.04357v1

    • [eess.SP]Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing
    Marat Bogdanov, Salim Baigildin, Aygul Fabarisova, Konstantin Ushenin, Olga Solovyova
    http://arxiv.org/abs/1912.04672v1

    • [eess.SP]Error analysis of mixed THz0RF wireless systems
    Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou
    http://arxiv.org/abs/1912.04476v1

    • [eess.SP]Inverse LDM’ and LU Factorizations of a Partitioned Matrix with the Square-root and Division Free Version for V-BLAST
    Hufei Zhu
    http://arxiv.org/abs/1912.04475v1

    • [eess.SP]Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform Noise
    Tarik Kazaz, Gerard J. M. Janssen, Alle-Jan van der Veen
    http://arxiv.org/abs/1912.04614v1

    • [eess.SY]Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint
    Monimoy Bujarbaruah, Charlott Vallon
    http://arxiv.org/abs/1912.04408v1

    • [math.CO]Infinite families of $2$-designs from a class of non-binary Kasami cyclic codes
    Rong Wang, Xiaoni Du, Cuiling Fan
    http://arxiv.org/abs/1912.04745v1

    • [math.NA]Time-parallel simulation of the Schrödinger Equation
    Hannah Rittich, Robert Speck
    http://arxiv.org/abs/1912.03312v1

    • [math.OC]Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
    Prashant Khanduri, Saikiran Bulusu, Pranay Sharma, Pramod K. Varshney
    http://arxiv.org/abs/1912.04531v1

    • [math.PR]Rates of convergence to the local time of Oscillating and Skew Brownian Motions
    Sara Mazzonetto
    http://arxiv.org/abs/1912.04858v1

    • [math.ST]Adaptive Manifold Clustering
    Franz Besold, Vladimir Spokoiny
    http://arxiv.org/abs/1912.04869v1

    • [math.ST]Classification under local differential privacy
    Thomas Berrett, Cristina Butucea
    http://arxiv.org/abs/1912.04629v1

    • [math.ST]Testing and Estimating Change-Points in the Covariance Matrix of a High-Dimensional Time Series
    Ansgar Steland
    http://arxiv.org/abs/1912.04677v1

    • [nlin.AO]Explosive higher-order Kuramoto dynamics on simplicial complexes
    Ana P. Millán, Joaquín J. Torres, Ginestra Bianconi
    http://arxiv.org/abs/1912.04405v1

    • [physics.comp-ph]JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python
    Samuel S. Schoenholz, Ekin D. Cubuk
    http://arxiv.org/abs/1912.04232v1

    • [physics.data-an]The Probabilistic Backbone of Data-Driven Complex Networks: An example in Climate
    Catharina Graafland, José M. Gutiérrez, Juan M. López, Diego Pazó, Miguel A. Rodríguez
    http://arxiv.org/abs/1912.03758v1

    • [quant-ph]Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm
    Murphy Yuezhen Niu, Vadim Smelyanskyi, Paul Klimov, Sergio Boixo, Rami Barends, Julian Kelly, Yu Chen, Kunal Arya, Brian Burkett, Dave Bacon, Zijun Chen, Ben Chiaro, Roberto Collins, Andrew Dunsworth, Brooks Foxen, Austin Fowler, Craig Gidney, Marissa Giustina, Rob Graff, Trent Huang, Evan Jeffrey, David Landhuis, Erik Lucero, Anthony Megrant, Josh Mutus, Xiao Mi, Ofer Naaman, Matthew Neeley, Charles Neill, Chris Quintana, Pedram Roushan, John M. Martinis, Hartmut Neven
    http://arxiv.org/abs/1912.04368v1

    • [stat.AP]Identification of causal intervention effects under contagion
    Xiaoxuan Cai, Wen Wei Loh, Forrest W. Crawford
    http://arxiv.org/abs/1912.04151v2

    • [stat.AP]Semiparametric Regression for Dual Population Mortality
    Gary Venter, Şule Şahin
    http://arxiv.org/abs/1912.04406v1

    • [stat.AP]Stylised Choropleth Maps for New Zealand Regions and District Health Boards
    Thomas Lumley
    http://arxiv.org/abs/1912.04435v1

    • [stat.CO]Optimizing and accelerating space-time Ripley’s K function based on Apache Spark for distributed spatiotemporal point pattern analysis
    Yuan Wang, Zhipeng Gui, Huayi Wu, Dehua Peng, Jinghang Wu, Zousen Cui
    http://arxiv.org/abs/1912.04753v1

    • [stat.ME]Controlling false discovery exceedance for heterogeneous tests
    Sebastian Döhler, Etienne Roquain
    http://arxiv.org/abs/1912.04607v1

    • [stat.ME]Generalised Network Autoregressive Processes and the GNAR package
    Marina Knight, Kathryn Leeming, Guy Nason, Matthew Nunes
    http://arxiv.org/abs/1912.04758v1

    • [stat.ME]Spatial hierarchical modeling of threshold exceedances using rate mixtures
    Rishikesh Yadav, Raphaël Huser, Thomas Opitz
    http://arxiv.org/abs/1912.04571v1

    • [stat.ME]Variable selection for transportability
    Megha L. Mehrotra, M. Maria Glymour, Elvin Geng, Daniel Westreich, David V. Glidden
    http://arxiv.org/abs/1912.04432v1

    • [stat.ME]What is the best predictor that you can compute in five minutes using a given Bayesian hierarchical model?
    Jonathan R. Bradley
    http://arxiv.org/abs/1912.04542v1

    • [stat.ML]Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models
    Burim Ramosaj, Markus Pauly
    http://arxiv.org/abs/1912.03306v1

    • [stat.ML]Histogram Transform Ensembles for Large-scale Regression
    Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen
    http://arxiv.org/abs/1912.04738v1

    • [stat.ML]Privacy-preserving data sharing via probabilistic modelling
    Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Samuel Kaski, Antti Honkela
    http://arxiv.org/abs/1912.04439v1

    • [stat.ML]Statistically Robust Neural Network Classification
    Benjie Wang, Stefan Webb, Tom Rainforth
    http://arxiv.org/abs/1912.04884v1