cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 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.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 q-bio.PE - 人口与发展 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]A Probabilistic Approach to Satisfiability of Propositional Logic Formulae
    • [cs.AI]Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World
    • [cs.AI]Counterfactual Explanation Algorithms for Behavioral and Textual Data
    • [cs.AI]Optimal Farsighted Agents Tend to Seek Power
    • [cs.CL]A Resource for Computational Experiments on Mapudungun
    • [cs.CL]AMR-to-Text Generation with Cache Transition Systems
    • [cs.CL]Acquiring Knowledge from Pre-trained Model to Neural Machine Translation
    • [cs.CL]An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering
    • [cs.CL]COSTRA 1.0: A Dataset of Complex Sentence Transformations
    • [cs.CL]Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts
    • [cs.CL]Fast Intent Classification for Spoken Language Understanding
    • [cs.CL]HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition
    • [cs.CL]Neural Academic Paper Generation
    • [cs.CL]Neural Machine Translation: A Review
    • [cs.CL]PDC — a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed
    • [cs.CL]Plug and Play Language Models: a Simple Approach to Controlled Text Generation
    • [cs.CL]SemEval-2016 Task 3: Community Question Answering
    • [cs.CL]SemEval-2016 Task 4: Sentiment Analysis in Twitter
    • [cs.CL]Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets
    • [cs.CL]Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts
    • [cs.CV]A Low Computational Approach for Price Tag Recognition
    • [cs.CV]A Method of Detecting End-To-End Curves of Limited Curvature
    • [cs.CV]A Method of Fluorescent Fibers Detection on Identity Documents under Ultraviolet Light
    • [cs.CV]A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models
    • [cs.CV]ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
    • [cs.CV]Adjusting Decision Boundary for Class Imbalanced Learning
    • [cs.CV]Adversarial Domain Adaptation with Domain Mixup
    • [cs.CV]AdversarialNAS: Adversarial Neural Architecture Search for GANs
    • [cs.CV]Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics
    • [cs.CV]Better Understanding Hierarchical Visual Relationship for Image Caption
    • [cs.CV]Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction
    • [cs.CV]Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images
    • [cs.CV]Diversity-Generated Image Inpainting with Style Extraction
    • [cs.CV]Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
    • [cs.CV]EDAS: Efficient and Differentiable Architecture Search
    • [cs.CV]EmbedMask: Embedding Coupling for One-stage Instance Segmentation
    • [cs.CV]Epoch-wise label attacks for robustness against label noise
    • [cs.CV]Explorable Super Resolution
    • [cs.CV]Fast Projective Image Rectification for Planar Objects with Manhattan Structure
    • [cs.CV]GGNN: Graph-based GPU Nearest Neighbor Search
    • [cs.CV]GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs
    • [cs.CV]Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks
    • [cs.CV]Integrating Motion into Vision Models for Better Visual Prediction
    • [cs.CV]It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
    • [cs.CV]Knee Cartilage Segmentation Using Diffusion-Weighted MRI
    • [cs.CV]Learning Multi-Object Tracking and Segmentation from Automatic Annotations
    • [cs.CV]Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
    • [cs.CV]Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy
    • [cs.CV]Object Detection with Convolutional Neural Networks
    • [cs.CV]Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking
    • [cs.CV]Protecting Geolocation Privacy of Photo Collections
    • [cs.CV]Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks
    • [cs.CV]Real-Time Panoptic Segmentation from Dense Detections
    • [cs.CV]Robust Visual Object Tracking with Natural Language Region Proposal Network
    • [cs.CV]Self-Supervised Learning of Pretext-Invariant Representations
    • [cs.CV]Spectral-GANs for High-Resolution 3D Point-cloud Generation
    • [cs.CV]StarGAN v2: Diverse Image Synthesis for Multiple Domains
    • [cs.CV]Template co-updating in multi-modal human activity recognition systems
    • [cs.CV]Trajectory-Based Recognition of Dynamic Persian Sign Language Using Hidden Markov Model
    • [cs.CV]Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications
    • [cs.CV]Visual Reaction: Learning to Play Catch with Your Drone
    • [cs.CV]Walking on the Edge: Fast, Low-Distortion Adversarial Examples
    • [cs.DB]Direct Mappings between RDF and Property Graph Databases
    • [cs.DB]Learning Multi-dimensional Indexes
    • [cs.DC]ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices
    • [cs.DC]L3 Fusion: Fast Transformed Convolutions on CPUs
    • [cs.DC]SimAS: A Simulation-assisted Approach for the Scheduling Algorithm Selection under Perturbations
    • [cs.DC]Smart Parking: IoT and Blockchain
    • [cs.GT]On games with coordinating and anti-coordinating agents
    • [cs.IR]A Fast Matrix-Completion-Based Approach for Recommendation Systems
    • [cs.IR]Addressing Marketing Bias in Product Recommendations
    • [cs.IR]WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset
    • [cs.IT]A Maximin Optimal Online Power Control Policy for Energy Harvesting Communications
    • [cs.IT]Communicating with Large Intelligent Surfaces: Fundamental Limits and Models
    • [cs.IT]Energy-Efficient Cooperative Secure Transmission in Multi-UAV Enabled Wireless Networks
    • [cs.IT]Intelligent Reflecting Surface Enhanced Wireless Network: Two-timescale Beamforming Optimization
    • [cs.IT]Millimeter Wave Massive MIMO Downlink Per-Group Communications with Hybrid Linear Precoding
    • [cs.IT]Randomized Decoding of Gabidulin Codes Beyond the Unique Decoding Radius
    • [cs.IT]Rank-Metric Codes, Generalized Binomial Moments and their Zeta Functions
    • [cs.IT]SWIPT with Practical Modulation and RF Energy Harvesting Sensitivity
    • [cs.IT]Throughput Maximization for UAV-aided Backscatter Communication Networks
    • [cs.IT]Veni Vidi Dixi: Reliable Wireless Communication with Depth Images
    • [cs.LG]A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
    • [cs.LG]A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
    • [cs.LG]A Study of Black Box Adversarial Attacks in Computer Vision
    • [cs.LG]A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes
    • [cs.LG]A probability theoretic approach to drifting data in continuous time domains
    • [cs.LG]ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS
    • [cs.LG]Active Learning of SVDD Hyperparameter Values
    • [cs.LG]AlgaeDICE: Policy Gradient from Arbitrary Experience
    • [cs.LG]Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data
    • [cs.LG]Deep Distributional Sequence Embeddings Based on a Wasserstein Loss
    • [cs.LG]Deep Physiological State Space Model for Clinical Forecasting
    • [cs.LG]Differentiation of Blackbox Combinatorial Solvers
    • [cs.LG]Distance-Based Learning from Errors for Confidence Calibration
    • [cs.LG]Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
    • [cs.LG]Domain-independent Dominance of Adaptive Methods
    • [cs.LG]Extreme Learning Machine design for dealing with unrepresentative features
    • [cs.LG]FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks
    • [cs.LG]Fantastic Generalization Measures and Where to Find Them
    • [cs.LG]Informative GANs via Structured Regularization of Optimal Transport
    • [cs.LG]Large scale representation learning from triplet comparisons
    • [cs.LG]Learn Electronic Health Records by Fully Decentralized Federated Learning
    • [cs.LG]Learning with Multiplicative Perturbations
    • [cs.LG]Mixing autoencoder with classifier: conceptual data visualization
    • [cs.LG]Mo’ States Mo’ Problems: Emergency Stop Mechanisms from Observation
    • [cs.LG]PyTorch: An Imperative Style, High-Performance Deep Learning Library
    • [cs.LG]RTN: Reparameterized Ternary Network
    • [cs.LG]Regression with Uncertainty Quantification in Large Scale Complex Data
    • [cs.LG]Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy
    • [cs.LG]Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer
    • [cs.LG]Scalable Bayesian Preference Learning for Crowds
    • [cs.LO]Game Description Logic with Integers: A GDL Numerical Extension
    • [cs.MA]A Simulation Model for Pedestrian Crowd Evacuation Based on Various AI Techniques
    • [cs.RO]A Dataset Schema for Cooperative Learning from Demonstration in Multi-robots Systems
    • [cs.RO]A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction
    • [cs.RO]Challenges in Architecting Fully Automated Driving; with an Emphasis on Heavy Commercial Vehicles
    • [cs.RO]Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment
    • [cs.RO]Fire Resistance Deformable Soft Gripper Based on Wire Jamming Mechanism
    • [cs.RO]Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions
    • [cs.RO]Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks
    • [cs.RO]Mechanism for Embossing Braille Characters on Paper: Conceptual Design
    • [cs.RO]Research on dynamic target detection and tracking system of hexapod robot
    • [cs.RO]Robustness-Driven Exploration with Probabilistic Metric Temporal Logic
    • [cs.SD]PitchNet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network
    • [cs.SI]Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities
    • [cs.SI]Keyword Aware Influential Community Search in Large Attributed Graphs
    • [eess.AS]Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition
    • [eess.AS]Integrating Whole Context to Sequence-to-sequence Speech Recognition
    • [eess.IV]Divided We Stand: A Novel Residual Group Attention Mechanism for Medical Image Segmentation
    • [eess.IV]Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning
    • [eess.SP]Optimal Green Hybrid Attacks in Secure IoT
    • [eess.SP]Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization
    • [eess.SY]Applying systems-theoretic process analysis in the context of cooperative driving
    • [math.OC]Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games
    • [math.OC]Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization
    • [math.OC]Polynomial time guarantees for the Burer-Monteiro method
    • [math.OC]Stochastic proximal splitting algorithm for stochastic composite minimization
    • [math.PR]Asymptotics of Strassen’s Optimal Transport Problem
    • [math.PR]Moments of Student’s t-distribution: A Unified Approach
    • [math.ST]Diffeological statistical models, the Fisher metric and probabilistic mappings
    • [math.ST]Exact asymptotics for phase retrieval and compressed sensing with random generative priors
    • [math.ST]Maximum entropy methods for texture synthesis: theory and practice
    • [physics.ao-ph]Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
    • [physics.ao-ph]Predicting Lake Erie Wave Heights using XGBoost
    • [q-bio.PE]Simulating Evolution on Fitness Landscapes represented by Valued Constraint Satisfaction Problems
    • [quant-ph]A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
    • [stat.AP]Extracting Trips from Multi-Sourced Data for Mobility Pattern Analysis: An App-Based Data Example
    • [stat.AP]UEFA against the champions? An evaluation of the recent reform of the Champions League qualification
    • [stat.CO]Simulating space-time random fields with nonseparable Gneiting-type covariance functions
    • [stat.ME]Bayesian Group Selection in Logistic Regression with Application to MRI Data Analysis
    • [stat.ME]Covariate-dependent control limits for the detection of abnormal price changes in scanner data
    • [stat.ME]Reluctant additive modeling
    • [stat.ML]Landscape Complexity for the Empirical Risk of Generalized Linear Models
    • [stat.ML]Learning Deep Generative Models with Short Run Inference Dynamics
    • [stat.ML]Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling
    • [stat.ML]Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR

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    • [cs.AI]A Probabilistic Approach to Satisfiability of Propositional Logic Formulae
    Reazul Hasan Russel
    http://arxiv.org/abs/1912.02150v1

    • [cs.AI]Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World
    Amulya Yadav
    http://arxiv.org/abs/1912.02102v1

    • [cs.AI]Counterfactual Explanation Algorithms for Behavioral and Textual Data
    Yanou Ramon, David Martens, Foster Provost, Theodoros Evgeniou
    http://arxiv.org/abs/1912.01819v1

    • [cs.AI]Optimal Farsighted Agents Tend to Seek Power
    Alexander Matt Turner
    http://arxiv.org/abs/1912.01683v1

    • [cs.CL]A Resource for Computational Experiments on Mapudungun
    Mingjun Duan, Carlos Fasola, Sai Krishna Rallabandi, Rodolfo M. Vega, Antonios Anastasopoulos, Lori Levin, Alan W Black
    http://arxiv.org/abs/1912.01772v1

    • [cs.CL]AMR-to-Text Generation with Cache Transition Systems
    Lisa Jin, Daniel Gildea
    http://arxiv.org/abs/1912.01682v1

    • [cs.CL]Acquiring Knowledge from Pre-trained Model to Neural Machine Translation
    Rongxiang Weng, Heng Yu, Shujian Huang, Shanbo Cheng, Weihua Luo
    http://arxiv.org/abs/1912.01774v1

    • [cs.CL]An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering
    Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois
    http://arxiv.org/abs/1912.02145v1

    • [cs.CL]COSTRA 1.0: A Dataset of Complex Sentence Transformations
    Petra Barančíková, Ondřej Bojar
    http://arxiv.org/abs/1912.01673v1

    • [cs.CL]Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts
    Qiongxing Tao, Xiangfeng Luo, Hao Wang
    http://arxiv.org/abs/1912.01858v1

    • [cs.CL]Fast Intent Classification for Spoken Language Understanding
    Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell
    http://arxiv.org/abs/1912.01728v1

    • [cs.CL]HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition
    Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao
    http://arxiv.org/abs/1912.01731v1

    • [cs.CL]Neural Academic Paper Generation
    Samet Demir, Uras Mutlu, Özgur Özdemir
    http://arxiv.org/abs/1912.01982v1

    • [cs.CL]Neural Machine Translation: A Review
    Felix Stahlberg
    http://arxiv.org/abs/1912.02047v1

    • [cs.CL]PDC — a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed
    Rezarta Islamaj, Lana Yeganova, Won Kim, Natalie Xie, W. John Wilbur
    http://arxiv.org/abs/1912.02077v1

    • [cs.CL]Plug and Play Language Models: a Simple Approach to Controlled Text Generation
    Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
    http://arxiv.org/abs/1912.02164v1

    • [cs.CL]SemEval-2016 Task 3: Community Question Answering
    Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, Walid Magdy, Hamdy Mubarak, Abed Alhakim Freihat, James Glass, Bilal Randeree
    http://arxiv.org/abs/1912.01972v1

    • [cs.CL]SemEval-2016 Task 4: Sentiment Analysis in Twitter
    Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov
    http://arxiv.org/abs/1912.01973v1

    • [cs.CL]Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets
    Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu
    http://arxiv.org/abs/1912.01795v1

    • [cs.CL]Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts
    Evgeni Stefchov, Galia Angelova, Preslav Nakov
    http://arxiv.org/abs/1912.01831v1

    • [cs.CV]A Low Computational Approach for Price Tag Recognition
    M. A. Aliev, D. A. Bocharov, I. A. Kunina, D. P. Nikolaev
    http://arxiv.org/abs/1912.01923v1

    • [cs.CV]A Method of Detecting End-To-End Curves of Limited Curvature
    Ekaterina Panfilova, Mikhail Aliev, Irina Kunina, Vasiliy Postnikov, Dmitry Nikolaev
    http://arxiv.org/abs/1912.01884v1

    • [cs.CV]A Method of Fluorescent Fibers Detection on Identity Documents under Ultraviolet Light
    Kunina I. A., Aliev M. A., Arlazarov N. V., Polevoy D. V
    http://arxiv.org/abs/1912.01916v1

    • [cs.CV]A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models
    Daniel Omeiza
    http://arxiv.org/abs/1912.02094v1

    • [cs.CV]ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
    Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox
    http://arxiv.org/abs/1912.01734v1

    • [cs.CV]Adjusting Decision Boundary for Class Imbalanced Learning
    Byungju Kim, Junmo Kim
    http://arxiv.org/abs/1912.01857v1

    • [cs.CV]Adversarial Domain Adaptation with Domain Mixup
    Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang
    http://arxiv.org/abs/1912.01805v1

    • [cs.CV]AdversarialNAS: Adversarial Neural Architecture Search for GANs
    Chen Gao, Yunpeng Chen, Si Liu, Zhenxiong Tan, Shuicheng Yan
    http://arxiv.org/abs/1912.02037v1

    • [cs.CV]Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics
    Ignacio Serna, Aythami Morales, Julian Fierrez, Manuel Cebrian, Nick Obradovich, Iyad Rahwan
    http://arxiv.org/abs/1912.01842v1

    • [cs.CV]Better Understanding Hierarchical Visual Relationship for Image Caption
    Zheng-cong Fei
    http://arxiv.org/abs/1912.01881v1

    • [cs.CV]Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction
    Fuyang Zhang, Nelson Nauata, Yasutaka Furukawa
    http://arxiv.org/abs/1912.01756v1

    • [cs.CV]Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images
    Krystian Radlak, Lukasz Malinski, Bogdan Smolka
    http://arxiv.org/abs/1912.01721v1

    • [cs.CV]Diversity-Generated Image Inpainting with Style Extraction
    Weiwei Cai, Zhanguo Wei
    http://arxiv.org/abs/1912.01834v1

    • [cs.CV]Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
    Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu
    http://arxiv.org/abs/1912.01811v1

    • [cs.CV]EDAS: Efficient and Differentiable Architecture Search
    Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim
    http://arxiv.org/abs/1912.01237v2

    • [cs.CV]EmbedMask: Embedding Coupling for One-stage Instance Segmentation
    Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou
    http://arxiv.org/abs/1912.01954v1

    • [cs.CV]Epoch-wise label attacks for robustness against label noise
    Sebastian Guendel, Andreas Maier
    http://arxiv.org/abs/1912.01966v1

    • [cs.CV]Explorable Super Resolution
    Yuval Bahat, Tomer Michaeli
    http://arxiv.org/abs/1912.01839v1

    • [cs.CV]Fast Projective Image Rectification for Planar Objects with Manhattan Structure
    Julia Shemiakina, Ivan Konovalenko, Daniil Tropin, Igor Faradjev
    http://arxiv.org/abs/1912.01892v1

    • [cs.CV]GGNN: Graph-based GPU Nearest Neighbor Search
    Fabian Groh, Lukas Ruppert, Patrick Wieschollek, Hendrik P. A. Lensch
    http://arxiv.org/abs/1912.01059v2

    • [cs.CV]GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs
    Yiming He, Wei Hu, Siyuan Yang, Xiaochao Qu, Pengfei Wan, Zongming Guo
    http://arxiv.org/abs/1912.01875v1

    • [cs.CV]Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks
    Evyatar Illouz, Eli David, Nathan S. Netanyahu
    http://arxiv.org/abs/1912.01816v1

    • [cs.CV]Integrating Motion into Vision Models for Better Visual Prediction
    Michael Hazoglou, Todd Hylton
    http://arxiv.org/abs/1912.01661v1

    • [cs.CV]It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
    Charan D. Prakash, Lina J. Karam
    http://arxiv.org/abs/1912.01707v1

    • [cs.CV]Knee Cartilage Segmentation Using Diffusion-Weighted MRI
    Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya
    http://arxiv.org/abs/1912.01838v1

    • [cs.CV]Learning Multi-Object Tracking and Segmentation from Automatic Annotations
    Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder
    http://arxiv.org/abs/1912.02096v1

    • [cs.CV]Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
    Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke
    http://arxiv.org/abs/1912.01674v1

    • [cs.CV]Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy
    Qiming Yang, Hongyang Chao, Dan Nguyen, Steve Jiang
    http://arxiv.org/abs/1912.02084v1

    • [cs.CV]Object Detection with Convolutional Neural Networks
    Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, Guanghui Wang
    http://arxiv.org/abs/1912.01844v1

    • [cs.CV]Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking
    Eric Heiden, Ziang Liu, Ragesh K. Ramachandran, Gaurav S. Sukhatme
    http://arxiv.org/abs/1912.01652v1

    • [cs.CV]Protecting Geolocation Privacy of Photo Collections
    Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik
    http://arxiv.org/abs/1912.02085v1

    • [cs.CV]Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks
    Bill Cai, Xiaojiang Li, Carlo Ratti
    http://arxiv.org/abs/1912.02109v1

    • [cs.CV]Real-Time Panoptic Segmentation from Dense Detections
    Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome Lynch, Adrien Gaidon
    http://arxiv.org/abs/1912.01202v2

    • [cs.CV]Robust Visual Object Tracking with Natural Language Region Proposal Network
    Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
    http://arxiv.org/abs/1912.02048v1

    • [cs.CV]Self-Supervised Learning of Pretext-Invariant Representations
    Ishan Misra, Laurens van der Maaten
    http://arxiv.org/abs/1912.01991v1

    • [cs.CV]Spectral-GANs for High-Resolution 3D Point-cloud Generation
    Sameera Ramasinghe, Salman Khan, Nick Barnes, Stephen Gould
    http://arxiv.org/abs/1912.01800v1

    • [cs.CV]StarGAN v2: Diverse Image Synthesis for Multiple Domains
    Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha
    http://arxiv.org/abs/1912.01865v1

    • [cs.CV]Template co-updating in multi-modal human activity recognition systems
    Annalisa Franco, Antonio Magnani, Dario Maio
    http://arxiv.org/abs/1912.02024v1

    • [cs.CV]Trajectory-Based Recognition of Dynamic Persian Sign Language Using Hidden Markov Model
    Saeideh Ghanbari Azar, Hadi Seyedarabi
    http://arxiv.org/abs/1912.01944v1

    • [cs.CV]Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications
    A. Gomez-Villa, A. Martín, J. Vazquez-Corral, M. Bertalmío, J. Malo
    http://arxiv.org/abs/1912.01643v1

    • [cs.CV]Visual Reaction: Learning to Play Catch with Your Drone
    Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi
    http://arxiv.org/abs/1912.02155v1

    • [cs.CV]Walking on the Edge: Fast, Low-Distortion Adversarial Examples
    Hanwei Zhang, Yannis Avrithis, Teddy Furon, Laurent Amsaleg
    http://arxiv.org/abs/1912.02153v1

    • [cs.DB]Direct Mappings between RDF and Property Graph Databases
    Harsh Thakkar, Renzo Angles, Dominik Tomaszuk, Jens Lehmann
    http://arxiv.org/abs/1912.02127v1

    • [cs.DB]Learning Multi-dimensional Indexes
    Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
    http://arxiv.org/abs/1912.01668v1

    • [cs.DC]ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices
    Zirui Xu, Zhao Yang, Jinjun Xiong, Jianlei Yang, Xiang Chen
    http://arxiv.org/abs/1912.01684v1

    • [cs.DC]L3 Fusion: Fast Transformed Convolutions on CPUs
    Rati Gelashvili, Nir Shavit, Aleksandar Zlateski
    http://arxiv.org/abs/1912.02165v1

    • [cs.DC]SimAS: A Simulation-assisted Approach for the Scheduling Algorithm Selection under Perturbations
    Ali Mohammed, Florina M. Ciorba
    http://arxiv.org/abs/1912.02050v1

    • [cs.DC]Smart Parking: IoT and Blockchain
    Abdul Wahab, Phil Maguire
    http://arxiv.org/abs/1912.01697v1

    • [cs.GT]On games with coordinating and anti-coordinating agents
    Martina Vanelli, Laura Arditti, Giacomo Como, Fabio Fagnani
    http://arxiv.org/abs/1912.02000v1

    • [cs.IR]A Fast Matrix-Completion-Based Approach for Recommendation Systems
    Meng Qiao, Zheng Shan, Fudong Liu, Wenjie Sun
    http://arxiv.org/abs/1912.00600v2

    • [cs.IR]Addressing Marketing Bias in Product Recommendations
    Mengting Wan, Jianmo Ni, Rishabh Misra, Julian McAuley
    http://arxiv.org/abs/1912.01799v1

    • [cs.IR]WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset
    Jibril Frej an Didier Schwab, Jean-Pierre Chevallet
    http://arxiv.org/abs/1912.01901v1

    • [cs.IT]A Maximin Optimal Online Power Control Policy for Energy Harvesting Communications
    Shengtian Yang, Jun Chen
    http://arxiv.org/abs/1912.02028v1

    • [cs.IT]Communicating with Large Intelligent Surfaces: Fundamental Limits and Models
    Davide Dardari
    http://arxiv.org/abs/1912.01719v1

    • [cs.IT]Energy-Efficient Cooperative Secure Transmission in Multi-UAV Enabled Wireless Networks
    Meng Hua, Yi Wang, Qingqing Wu, Haibo Dai, Yongming Huang, Luxi Yang
    http://arxiv.org/abs/1912.01995v1

    • [cs.IT]Intelligent Reflecting Surface Enhanced Wireless Network: Two-timescale Beamforming Optimization
    Ming-Min Zhao, Qingqing Wu, Min-Jian Zhao, Rui Zhang
    http://arxiv.org/abs/1912.01818v1

    • [cs.IT]Millimeter Wave Massive MIMO Downlink Per-Group Communications with Hybrid Linear Precoding
    Thomas Ketseoglou, Matthew. C. Valenti, Ender Ayanoglu
    http://arxiv.org/abs/1912.01767v1

    • [cs.IT]Randomized Decoding of Gabidulin Codes Beyond the Unique Decoding Radius
    Julian Renner, Thomas Jerkovits, Hannes Bartz, Sven Puchinger, Pierre Loidreau, Antonia Wachter-Zeh
    http://arxiv.org/abs/1911.13193v2

    • [cs.IT]Rank-Metric Codes, Generalized Binomial Moments and their Zeta Functions
    Eimear Byrne, Giuseppe Cotardo, Alberto Ravagnagni
    http://arxiv.org/abs/1912.01928v1

    • [cs.IT]SWIPT with Practical Modulation and RF Energy Harvesting Sensitivity
    Wanchun Liu, Xiangyun Zhou, Salman Durrani, Petar Popovski
    http://arxiv.org/abs/1912.01727v1

    • [cs.IT]Throughput Maximization for UAV-aided Backscatter Communication Networks
    Meng Hua, Luxi Yang, Chunguo Li, Qingqing Wu, A. Lee Swindlehurst
    http://arxiv.org/abs/1912.01980v1

    • [cs.IT]Veni Vidi Dixi: Reliable Wireless Communication with Depth Images
    Serkut Ayvaşık, H. Murat Gürsu, Wolfgang Kellerer
    http://arxiv.org/abs/1912.01879v1

    • [cs.LG]A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
    Lars Ruthotto, Stanley Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung
    http://arxiv.org/abs/1912.01825v1

    • [cs.LG]A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
    Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand, Luc Lamontagne
    http://arxiv.org/abs/1912.01706v1

    • [cs.LG]A Study of Black Box Adversarial Attacks in Computer Vision
    Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi, Arun Balaji Buduru
    http://arxiv.org/abs/1912.01667v1

    • [cs.LG]A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes
    Dominik Linzner, Heinz Koeppl
    http://arxiv.org/abs/1912.01849v1

    • [cs.LG]A probability theoretic approach to drifting data in continuous time domains
    Fabian Hinder, André Artelt, Barbara Hammer
    http://arxiv.org/abs/1912.01969v1

    • [cs.LG]ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS
    Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Zhang Lei, Aakash Patil, Arindam Basu
    http://arxiv.org/abs/1912.01853v1

    • [cs.LG]Active Learning of SVDD Hyperparameter Values
    Holger Trittenbach, Klemens Böhm, Ira Assent
    http://arxiv.org/abs/1912.01927v1

    • [cs.LG]AlgaeDICE: Policy Gradient from Arbitrary Experience
    Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans
    http://arxiv.org/abs/1912.02074v1

    • [cs.LG]Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data
    Gábor Horváth, Edith Kovács, Roland Molontay, Szabolcs Nováczki
    http://arxiv.org/abs/1912.02166v1

    • [cs.LG]Deep Distributional Sequence Embeddings Based on a Wasserstein Loss
    Ahmed Abdelwahab, Niels Landwehr
    http://arxiv.org/abs/1912.01933v1

    • [cs.LG]Deep Physiological State Space Model for Clinical Forecasting
    Yuan Xue, Denny Zhou, Nan Du, Andrew Dai, Zhen Xu, Kun Zhang, Claire Cui
    http://arxiv.org/abs/1912.01762v1

    • [cs.LG]Differentiation of Blackbox Combinatorial Solvers
    Marin Vlastelica, Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek
    http://arxiv.org/abs/1912.02175v1

    • [cs.LG]Distance-Based Learning from Errors for Confidence Calibration
    Chen Xing, Sercan Arik, Zizhao Zhang, Tomas Pfister
    http://arxiv.org/abs/1912.01730v1

    • [cs.LG]Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
    Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao
    http://arxiv.org/abs/1912.01899v1

    • [cs.LG]Domain-independent Dominance of Adaptive Methods
    Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire
    http://arxiv.org/abs/1912.01823v1

    • [cs.LG]Extreme Learning Machine design for dealing with unrepresentative features
    Nicolás Nieto, Francisco Ibarrola, Victoria Peterson, Hugo Rufiner, Ruben Spies
    http://arxiv.org/abs/1912.02154v1

    • [cs.LG]FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks
    Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
    http://arxiv.org/abs/1912.01978v1

    • [cs.LG]Fantastic Generalization Measures and Where to Find Them
    Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio
    http://arxiv.org/abs/1912.02178v1

    • [cs.LG]Informative GANs via Structured Regularization of Optimal Transport
    Pierre Bréchet, Tao Wu, Thomas Möllenhoff, Daniel Cremers
    http://arxiv.org/abs/1912.02160v1

    • [cs.LG]Large scale representation learning from triplet comparisons
    Siavash Haghiri, Leena Chennuru Vankadara, Ulrike von Luxburg
    http://arxiv.org/abs/1912.01666v1

    • [cs.LG]Learn Electronic Health Records by Fully Decentralized Federated Learning
    Songtao Lu, Yawen Zhang, Yunlong Wang, Christina Mack
    http://arxiv.org/abs/1912.01792v1

    • [cs.LG]Learning with Multiplicative Perturbations
    Xiulong Yang, Shihao Ji
    http://arxiv.org/abs/1912.01810v1

    • [cs.LG]Mixing autoencoder with classifier: conceptual data visualization
    Pitoyo Hartono
    http://arxiv.org/abs/1912.01137v2

    • [cs.LG]Mo’ States Mo’ Problems: Emergency Stop Mechanisms from Observation
    Samuel Ainsworth, Matt Barnes, Siddhartha Srinivasa
    http://arxiv.org/abs/1912.01649v1

    • [cs.LG]PyTorch: An Imperative Style, High-Performance Deep Learning Library
    Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
    http://arxiv.org/abs/1912.01703v1

    • [cs.LG]RTN: Reparameterized Ternary Network
    Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
    http://arxiv.org/abs/1912.02057v1

    • [cs.LG]Regression with Uncertainty Quantification in Large Scale Complex Data
    Nicholas Wilkins, Michael Johnson, Ifeoma Nwogu
    http://arxiv.org/abs/1912.02163v1

    • [cs.LG]Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy
    Abulikemu Abuduweili, Changliu Liu
    http://arxiv.org/abs/1912.01790v1

    • [cs.LG]Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer
    Geoffroy Dubourg-Felonneau, Omar Darwish, Christopher Parsons, Dami Rebergen, John W Cassidy, Nirmesh Patel, Harry W Clifford
    http://arxiv.org/abs/1912.02065v1

    • [cs.LG]Scalable Bayesian Preference Learning for Crowds
    Edwin Simpson, Iryna Gurevych
    http://arxiv.org/abs/1912.01987v1

    • [cs.LO]Game Description Logic with Integers: A GDL Numerical Extension
    Munyque Mittelmann, Laurent Perrussel
    http://arxiv.org/abs/1912.01876v1

    • [cs.MA]A Simulation Model for Pedestrian Crowd Evacuation Based on Various AI Techniques
    Danial A. Muhammed, Soran A. M. Saeed, Tarik A. Rashid
    http://arxiv.org/abs/1912.01629v1

    • [cs.RO]A Dataset Schema for Cooperative Learning from Demonstration in Multi-robots Systems
    Marco A. C. Simões, Robson Marinho da Silva, Tatiane Nogueira
    http://arxiv.org/abs/1912.01741v1

    • [cs.RO]A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction
    Abel Gawel, Hermann Blum, Johannes Pankert, Koen Krämer, Luca Bartolomei, Selen Ercan, Farbod Farshidian, Margarita Chli, Fabio Gramazio, Roland Siegwart, Marco Hutter, Timothy Sandy
    http://arxiv.org/abs/1912.01870v1

    • [cs.RO]Challenges in Architecting Fully Automated Driving; with an Emphasis on Heavy Commercial Vehicles
    Naveen Mohan, Martin Törngren, Viacheslav Izosimov, Viktor Kaznov, Per Roos, Johan Svahn, Joakim Gustavsson, Damir Nesic
    http://arxiv.org/abs/1912.02005v1

    • [cs.RO]Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment
    Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
    http://arxiv.org/abs/1912.02149v1

    • [cs.RO]Fire Resistance Deformable Soft Gripper Based on Wire Jamming Mechanism
    Kenjiro Tadakuma, Toshiaki Fujimoto, Masahiro Watanabe, Tori Shimizu
    http://arxiv.org/abs/1912.01996v1

    • [cs.RO]Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions
    Jonas Tjomsland, Ali Shafti, A. Aldo Faisal
    http://arxiv.org/abs/1912.01715v1

    • [cs.RO]Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks
    Zheyuan Wang, Matthew Gombolay
    http://arxiv.org/abs/1912.02059v1

    • [cs.RO]Mechanism for Embossing Braille Characters on Paper: Conceptual Design
    Jonnatan Arroyo, Ramiro Velazquez
    http://arxiv.org/abs/1912.00045v1

    • [cs.RO]Research on dynamic target detection and tracking system of hexapod robot
    Dexin Wang
    http://arxiv.org/abs/1912.01992v1

    • [cs.RO]Robustness-Driven Exploration with Probabilistic Metric Temporal Logic
    Xiaotian Liu, Pengyi Shi, Sarra Alqahtani, Victor Paúl Pauca, Miles Silman
    http://arxiv.org/abs/1912.01704v1

    • [cs.SD]PitchNet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network
    Chengqi Deng, Chengzhu Yu, Heng Lu, Chao Weng, Dong Yu
    http://arxiv.org/abs/1912.01852v1

    • [cs.SI]Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities
    Amulya Yadav
    http://arxiv.org/abs/1912.02105v1

    • [cs.SI]Keyword Aware Influential Community Search in Large Attributed Graphs
    Md. Saiful Islam, Mohammed Eunus Ali, Yong-Bin Kang, Timos Sellis, Farhana M. Choudhury
    http://arxiv.org/abs/1912.02114v1

    • [eess.AS]Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition
    Shaoshi Ling, Yuzong Liu, Julian Salazar, Katrin Kirchhoff
    http://arxiv.org/abs/1912.01679v1

    • [eess.AS]Integrating Whole Context to Sequence-to-sequence Speech Recognition
    Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen, Shuai Zhang
    http://arxiv.org/abs/1912.01777v1

    • [eess.IV]Divided We Stand: A Novel Residual Group Attention Mechanism for Medical Image Segmentation
    Chaitanya Kaul, Nick Pears, Suresh Manandhar
    http://arxiv.org/abs/1912.02079v1

    • [eess.IV]Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning
    Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
    http://arxiv.org/abs/1912.01824v1

    • [eess.SP]Optimal Green Hybrid Attacks in Secure IoT
    Bhawna Ahuja, Deepak Mishra, Ranjan Bose
    http://arxiv.org/abs/1912.02097v1

    • [eess.SP]Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization
    Tao Ge, Umberto Villa, Ulugbek S. Kamilov, Joseph A. O’Sullivan
    http://arxiv.org/abs/1912.01738v1

    • [eess.SY]Applying systems-theoretic process analysis in the context of cooperative driving
    Joakim Oscarsson, Max Stolz-Sundnes, Naveen Mohan, Viacheslav Izosimov
    http://arxiv.org/abs/1912.02019v1

    • [math.OC]Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games
    Jiequn Han, Ruimeng Hu
    http://arxiv.org/abs/1912.01809v1

    • [math.OC]Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization
    Abhishek Roy, Yifang Chen, Krishnakumar Balasubramanian, Prasant Mohapatra
    http://arxiv.org/abs/1912.01698v1

    • [math.OC]Polynomial time guarantees for the Burer-Monteiro method
    Diego Cifuentes, Ankur Moitra
    http://arxiv.org/abs/1912.01745v1

    • [math.OC]Stochastic proximal splitting algorithm for stochastic composite minimization
    Andrei Patrascu, Paul Irofti
    http://arxiv.org/abs/1912.02039v1

    • [math.PR]Asymptotics of Strassen’s Optimal Transport Problem
    Lei Yu
    http://arxiv.org/abs/1912.02051v1

    • [math.PR]Moments of Student’s t-distribution: A Unified Approach
    J. Lars Kirkby, Dang Nguyen, Duy Nguyen
    http://arxiv.org/abs/1912.01607v1

    • [math.ST]Diffeological statistical models, the Fisher metric and probabilistic mappings
    Hông Vân Lê
    http://arxiv.org/abs/1912.02090v1

    • [math.ST]Exact asymptotics for phase retrieval and compressed sensing with random generative priors
    Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová
    http://arxiv.org/abs/1912.02008v1

    • [math.ST]Maximum entropy methods for texture synthesis: theory and practice
    Valentin De Bortoli, Agnes Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire
    http://arxiv.org/abs/1912.01691v1

    • [physics.ao-ph]Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
    Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff
    http://arxiv.org/abs/1912.01752v1

    • [physics.ao-ph]Predicting Lake Erie Wave Heights using XGBoost
    Haoguo Hu, Philip Chu
    http://arxiv.org/abs/1912.01786v1

    • [q-bio.PE]Simulating Evolution on Fitness Landscapes represented by Valued Constraint Satisfaction Problems
    Alexandru Strimbu
    http://arxiv.org/abs/1912.02134v1

    • [quant-ph]A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
    Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin
    http://arxiv.org/abs/1912.02119v1

    • [stat.AP]Extracting Trips from Multi-Sourced Data for Mobility Pattern Analysis: An App-Based Data Example
    Feilong Wang, Jingxing Wang, Jinzhou Cao, Cynthia Chen, Xuegang, Ban
    http://arxiv.org/abs/1912.01835v1

    • [stat.AP]UEFA against the champions? An evaluation of the recent reform of the Champions League qualification
    László Csató
    http://arxiv.org/abs/1912.02076v1

    • [stat.CO]Simulating space-time random fields with nonseparable Gneiting-type covariance functions
    Denis Allard, Xavier Emery, Céline Lacaux, Christian Lantuéjoul
    http://arxiv.org/abs/1912.02026v1

    • [stat.ME]Bayesian Group Selection in Logistic Regression with Application to MRI Data Analysis
    Kyoungjae Lee, Xuan Cao
    http://arxiv.org/abs/1912.01833v1

    • [stat.ME]Covariate-dependent control limits for the detection of abnormal price changes in scanner data
    Youngrae Kim, Sangkyun Kim, Johan Lim, Sungim Lee, Won Son, Heejin Hwang
    http://arxiv.org/abs/1912.01832v1

    • [stat.ME]Reluctant additive modeling
    J. Kenneth Tay, Robert Tibshirani
    http://arxiv.org/abs/1912.01808v1

    • [stat.ML]Landscape Complexity for the Empirical Risk of Generalized Linear Models
    Antoine Maillard, Gérard Ben Arous, Giulio Biroli
    http://arxiv.org/abs/1912.02143v1

    • [stat.ML]Learning Deep Generative Models with Short Run Inference Dynamics
    Erik Nijkamp, Bo Pang, Tian Han, Alex Zhou, Song-Chun Zhu, Ying Nian Wu
    http://arxiv.org/abs/1912.01909v1

    • [stat.ML]Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling
    Ziming Liu, Zheng Zhang
    http://arxiv.org/abs/1912.01937v1

    • [stat.ML]Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR
    Dylan Troop, Frédéric Godin, Jia Yuan Yu

    http://arxiv.org/abs/1912.01718v1