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
·····································
• [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