cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 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.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.app-ph - 应用物理 physics.flu-dyn - 流体动力学 q-bio.GN - 基因组学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.stat-mech]Sampling and statistical physics via symmetry
• [cs.AI]Datacentric analysis to reduce pedestrians accidents: A case study in Colombia
• [cs.AI]Permutation-Invariant Subgraph Discovery
• [cs.AI]STARdom: an architecture for trusted and secure human-centered manufacturing systems
• [cs.CL]”TL;DR:” Out-of-Context Adversarial Text Summarization and Hashtag Recommendation
• [cs.CL]CURIE: An Iterative Querying Approach for Reasoning About Situations
• [cs.CL]Do RNN States Encode Abstract Phonological Processes?
• [cs.CL]Effect of depth order on iterative nested named entity recognition models
• [cs.CL]Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness
• [cs.CL]IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task
• [cs.CL]Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings
• [cs.CL]Multitask Recalibrated Aggregation Network for Medical Code Prediction
• [cs.CL]Sketch and Customize: A Counterfactual Story Generator
• [cs.CL]TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training
• [cs.CL]Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments
• [cs.CL]Use of ‘off-the-shelf’ information extraction algorithms in clinical informatics: a feasibility study of MetaMap annotation of Italian medical notes
• [cs.CL]What Taggers Fail to Learn, Parsers Need the Most
• [cs.CR]PolyDNN: Polynomial Representation of NN for Communication-less SMPC Inference
• [cs.CV]A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space
• [cs.CV]A Detector-oblivious Multi-arm Network for Keypoint Matching
• [cs.CV]AAformer: Auto-Aligned Transformer for Person Re-Identification
• [cs.CV]Adaptive Class Suppression Loss for Long-Tail Object Detection
• [cs.CV]Analyzing and Quantifying Generalization in Convolutional Neural Networks
• [cs.CV]Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
• [cs.CV]Data Augmentation with Manifold Barycenters
• [cs.CV]Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
• [cs.CV]Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation
• [cs.CV]Defending Against Image Corruptions Through Adversarial Augmentations
• [cs.CV]Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos
• [cs.CV]End-to-end learning of keypoint detection and matching for relative pose estimation
• [cs.CV]Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising
• [cs.CV]Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
• [cs.CV]HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection
• [cs.CV]Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
• [cs.CV]Inference of Recyclable Objects with Convo
6b77
lutional Neural Networks
• [cs.CV]Language-based Video Editing via Multi-Modal Multi-Level Transformer
• [cs.CV]LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference
• [cs.CV]Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction
• [cs.CV]Learning to Filter: Siamese Relation Network for Robust Tracking
• [cs.CV]LiftPool: Bidirectional ConvNet Pooling
• [cs.CV]Low Dose Helical CBCT denoising by using domain filtering with deep reinforcement learning
• [cs.CV]MOST: A Multi-Oriented Scene Text Detector with Localization Refinement
• [cs.CV]Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
• [cs.CV]Network Quantization with Element-wise Gradient Scaling
• [cs.CV]S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
• [cs.CV]SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom
• [cs.CV]Self-supervised Video Representation Learning by Context and Motion Decoupling
• [cs.CV]Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation
• [cs.CV]TFill: Image Completion via a Transformer-Based Architecture
• [cs.CV]The Spatially-Correlative Loss for Various Image Translation Tasks
• [cs.CV]Towards High Fidelity Face Relighting with Realistic Shadows
• [cs.CV]TubeR: Tube-Transformer for Action Detection
• [cs.CV]UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
• [cs.CV]Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD
• [cs.CV]Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning
• [cs.CV]VisQA: X-raying Vision and Language Reasoning in Transformers
• [cs.CV]Visual Semantic Role Labeling for Video Understanding
• [cs.CY]From banks to DeFi: the evolution of the lending market
• [cs.CY]Limiting Tags Fosters Efficiency
• [cs.CY]The polarising effect of Review Bomb
• [cs.CY]Trends in eBusiness and eGovernment
• [cs.DB]An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines
• [cs.DC]Daisen: A Framework for Visualizing Detailed GPU Execution
• [cs.DC]ESTemd: A Distributed Processing Framework for Environmental Monitoring based on Apache Kafka Streaming Engine
• [cs.DC]Efficient Replication via Timestamp Stability (Extended Version)
• [cs.DC]FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance
• [cs.DC]Scalable Hash Table for NUMA Systems
• [cs.DS]Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering
• [cs.HC]Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning
• [cs.IR]Fast-adapting and Privacy-preserving Federated Recommender System
• [cs.IR]GRN: Generative Rerank Network for Context-wise Recommendation
• [cs.IR]Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites
• [cs.IR]The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles
• [cs.IR]Topic Scaling: A Joint Document Scaling — Topic Model Approach To Learn Time-Specific Topics
• [cs.IT]Algorithms for Poisson Phase Retrieval
• [cs.IT]Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance
• [cs.IT]Hybrid and Generalized Bayesian Cramér-Rao Inequalities via Information Geometry
• [cs.LG]A Comparison of Similarity Based Instance Selection Methods for Cross Project Defect Prediction
• [cs.LG]A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting
• [cs.LG]Bayesian Structural Learning for an Improved Diagnosis of Cyber-Physical Systems
• [cs.LG]Detecting Anomalies Through Contrast in Heterogeneous Data
• [cs.LG]DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation
• [cs.LG]Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)
• [cs.LG]Efficacy of Bayesian Neural Networks in Active Learning
• [cs.LG]Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
• [cs.LG]Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
• [cs.LG]How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
• [cs.LG]How Powerful are Performance Predictors in Neural Architecture Search?
• [cs.LG]LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions
• [cs.LG]Multi-Class Data Description for Out-of-distribution Detection
• [cs.LG]Multitarget Tracking with Transformers
• [cs.LG]No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
• [cs.LG]Partition-Guided GANs
• [cs.LG]Reservoir-Based Distributed Machine Learning for Edge Operation
• [cs.LG]Skillful Precipitation Nowcasting using Deep Generative Models of Radar
• [cs.LG]Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels
• [cs.LG]Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks
• [cs.NI]Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
• [cs.NI]Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service
• [cs.RO]An NCAP-like Safety Indicator for Self-Driving Cars
• [cs.RO]An early warning AI-powered portable system to reduce workload and inspect environmental damage after natural disasters
• [cs.RO]CAROM — Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures
• [cs.RO]Collision-Aware Target-Driven Object Grasping in Constrained Environments
• [cs.RO]Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping
• [cs.RO]HaptiStylus: A Novel Stylus Capable of Displaying Movement and Rotational Torque Effects
• [cs.RO]Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics
• [cs.RO]SMET: Scenario-based Metamorphic Testing for Autonomous Driving Models
• [cs.RO]SMORES-EP, a Modular Robot with Parallel Self-assembly
• [cs.RO]Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry
• [cs.RO]Task-Invariant Learning of Continuous Joint Kinematics during Steady-State and Transient Ambulation Using Ultrasound Sensing
• [cs.SD]Out of a hundred trials, how many errors does your speaker verifier make?
• [cs.SD]Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
• [cs.SE]A Context Aware and Self Adaptation Strategy for Cloud Service Selection and Configuration in Run Time
• [cs.SE]Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
• [cs.SE]Toward Sensor and Software Product Line Based Context Aware Cloud Environment Assignment
• [cs.SE]Towards Rigorous Selection and Configuration of Cloud Services: Research Methodology
• [cs.SI]An active inference model of collective intelligence
• [cs.SI]Choice-Aware User Engagement Modeling andOptimization on Social Media
• [cs.SI]Misinformation Warning Labels: Twitter’s Soft Moderation Effects on COVID-19 Vaccine Belief Echoes
• [cs.SI]Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
• [cs.SI]Topological Data Analysis of Spatial Systems
• [econ.GN]The Production and Consumption of Social Media
• [eess.AS]Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques
• [eess.AS]Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation
• [eess.IV]Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
• [eess.IV]Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation
• [eess.IV]Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information
• [eess.IV]Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information
• [eess.IV]Prediction of Tuberculosis using U-Net and segmentation techniques
• [eess.IV]Variational Deep Image Denoising
• [eess.SP]Blind Exploration and Exploitation of Stochastic Experts
• [eess.SP]Radar Target Detection aided by Reconfigurable Intelligent Surfaces
• [eess.SY]Linear Systems can be Hard to Learn
• [math.NA]Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions
• [math.OC]Decision-theoretic reliability sensitivity
• [math.OC]Information-constrained optimization: can adaptive processing of gradients help?
• [math.ST]A Sieve Stochastic Gradient Descent Estimator for Online Nonparametric Regression in Sobolev ellipsoids
• [math.ST]Bayesian estimation of nonlinear Hawkes process
• [math.ST]Projection Estimators of the Stationary Density of a Differential Equation Driven by the Fractional Brownian Motion
• [physics.app-ph]Constrained non-negative matrix factorization enabling real-time insights of and high-throughput experiments
• [physics.flu-dyn]Assessment of machine learning methods for state-to-state approaches
• [q-bio.GN]White paper: The Helix Pathogenicity Prediction Platform
• [stat.AP]Weekly Bayesian modelling strategy to predict deaths by COVID-19: a model and case study for the state of Santa Catarina, Brazil
• [stat.ME]A Proper Scoring Rule for Validation of Competing Risks Models
• [stat.ME]An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces
• [stat.ME]Causality indices for bivariate time series data: a comparative review of performance
• [stat.ME]Distributional data analysis with accelerometer data in a NHANES database with nonparametric survey regression models
• [stat.ME]Dynamic models using score copula innovations
• [stat.ME]Multivariate time series models for mixed data
• [stat.ML]High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
·····································
• [cond-mat.stat-mech]Sampling and statistical physics via symmetry
Steve Huntsman
http://arxiv.org/abs/2104.00753v1
• [cs.AI]Datacentric analysis to reduce pedestrians accidents: A case study in Colombia
Michael Puentes, Diana Novoa, John Delgado Nivia, Carlos Barrios Hernández, Oscar Carrillo, Frédéric Le Mouël
http://arxiv.org/abs/2104.00912v1
• [cs.AI]Permutation-Invariant Subgraph Discovery
Raghvendra Mall, Shameem A. Parambath, Han Yufei, Ting Yu, Sanjay Chawla
http://arxiv.org/abs/2104.01063v1
• [cs.AI]STARdom: an architecture for trusted and secure human-centered manufacturing systems
Jože M. Rožanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaž Fortuna, Dunja Mladenić, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos
http://arxiv.org/abs/2104.00983v1
• [cs.CL]“TL;DR:” Out-of-Context Adversarial Text Summarization and Hashtag Recommendation
Peter Jachim, Filipo Sharevski, Emma Pieroni
http://arxiv.org/abs/2104.00782v1
• [cs.CL]CURIE: An Iterative Querying Approach for Reasoning About Situations
Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard Hovy
http://arxiv.org/abs/2104.00814v1
• [cs.CL]Do RNN States Encode Abstract Phonological Processes?
Miikka Silfverberg, Francis Tyers, Garrett Nicolai, Mans Hulden
http://arxiv.org/abs/2104.00789v1
• [cs.CL]Effect of depth order on iterative nested named entity recognition models
Perceval Wajsburt, Yoann Taillé, Xavier Tannier
http://arxiv.org/abs/2104.01037v1
• [cs.CL]Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness
Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi
http://arxiv.org/abs/2104.00933v1
• [cs.CL]IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task
Neil Rajiv Shirude, Sagnik Mukherjee, Tushar Shandhilya, Ananta Mukherjee, Ashutosh Modi
http://arxiv.org/abs/2104.01046v1
• [cs.CL]Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings
Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima, Ananya Tyagi, Tavpritesh Sethi
http://arxiv.org/abs/2104.01131v1
• [cs.CL]Multitask Recalibrated Aggregation Network for Medical Code Prediction
Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
http://arxiv.org/abs/2104.00952v1
• [cs.CL]Sketch and Customize: A Counterfactual Story Generator
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng
http://arxiv.org/abs/2104.00929v1
• [cs.CL]TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training
Thomas Müller, Julian Martin Eisenschlos, Syrine Krichene
http://arxiv.org/abs/2104.01099v1
• [cs.CL]Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments
David R. Mortensen, Jordan Picone, Xinjian Li, Kathleen Siminyu
http://arxiv.org/abs/2104.00824v1
• [cs.CL]Use of ‘off-the-shelf’ information extraction algorithms in clinical informatics: a feasibility study of MetaMap annotation of Italian medical notes
Emma Chiaramello, Francesco Pinciroli, Alberico Bonalumi, Angelo Caroli, Gabriella Tognola
http://arxiv.org/abs/2104.00975v1
• [cs.CL]What Taggers Fail to Learn, Parsers Need the Most
Mark Anderson, Carlos Gómez-Rodríguez
http://arxiv.org/abs/2104.01083v1
• [cs.CR]PolyDNN: Polynomial Representation of NN for Communication-less SMPC Inference
Philip Derbeko, Shlomi Dolev
http://arxiv.org/abs/2104.00863v1
• [cs.CV]A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space
Ankitesh K. Singh, Hilmi E. Egilmez, Reza Pourreza, Muhammed Coban, Marta Karczewicz, Taco S. Cohen
http://arxiv.org/abs/2104.00807v1
• [cs.CV]A Detector-oblivious Multi-arm Network for Keypoint Matching
Xuelun Shen, Cheng Wang, Xin Li, qian hu, Jingyi Zhang
http://arxiv.org/abs/2104.00947v1
• [cs.CV]AAformer: Auto-Aligned Transformer for Person Re-Identification
Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Gaopan Huang, Honglin Qiao, Jing Liu, Jinqiao Wang, Ming Tang
http://arxiv.org/abs/2104.00921v1
• [cs.CV]Adaptive Class Suppression Loss for Long-Tail Object Detection
Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang
http://arxiv.org/abs/2104.00885v1
• [cs.CV]Analyzing and Quantifying Generalization in Convolutional Neural Networks
Yang Zhao, Hao Zhang
http://arxiv.org/abs/2104.00851v1
• [cs.CV]Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
Youngmin Oh, Beomjun Kim, Bumsub Ham
http://arxiv.org/abs/2104.00905v1
• [cs.CV]Data Augmentation with Manifold Barycenters
Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov
http://arxiv.org/abs/2104.00925v1
• [cs.CV]Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
Karl Stelzner, Kristian Kersting, Adam R. Kosiorek
http://arxiv.org/abs/2104.01148v1
• [cs.CV]Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation
Alessandra Lumini, Loris Nanni, Gianluca Maguolo
http://arxiv.org/abs/2104.00850v1
• [cs.CV]Defending Against Image Corruptions Through Adversarial Augmentations
Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, Andras Gyorgy, Timothy Mann, Sven Gowal
http://arxiv.org/abs/2104.01086v1
• [cs.CV]Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos
Spencer He, Ryan Liu
http://arxiv.org/abs/2104.01137v1
• [cs.CV]End-to-end learning of keypoint detection and matching for relative pose estimation
Antoine Fond, Luca Del Pero, Nikola Sivacki, Marco Paladini
http://arxiv.org/abs/2104.01085v1
• [cs.CV]Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising
Xinjie Li, Guojia Hou, Kunqian Li
http://arxiv.org/abs/2104.01073v1
• [cs.CV]Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
Feng Liu, Luan Tran, Xiaoming Liu
http://arxiv.org/abs/2104.00858v1
• [cs.CV]HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection
Jongyoun Noh, Sanghoon Lee, Bumsub Ham
http://arxiv.org/abs/2104.00902v1
• [cs.CV]Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Zilong Huang, Wentian Hao, Xinggang Wang, Mingyuan Tao, Jianqiang Huang, Wenyu Liu, Xian-Sheng Hua
http://arxiv.org/abs/2104.00875v1
• [cs.CV]Inference of Recyclable Objects with Convo
6b77
lutional Neural Networks
Jaime Caballero, Francisco Vergara, Randal Miranda, José Serracín
http://arxiv.org/abs/2104.00868v1
• [cs.CV]Language-based Video Editing via Multi-Modal Multi-Level Transformer
Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
http://arxiv.org/abs/2104.01122v1
• [cs.CV]LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference
Ben Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze
http://arxiv.org/abs/2104.01136v1
• [cs.CV]Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction
Ze Ma, Yifan Yao, Pan Ji, Chao Ma
http://arxiv.org/abs/2104.00953v1
• [cs.CV]Learning to Filter: Siamese Relation Network for Robust Tracking
Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang
http://arxiv.org/abs/2104.00829v1
• [cs.CV]LiftPool: Bidirectional ConvNet Pooling
Jiaojiao Zhao, Cees G. M. Snoek
http://arxiv.org/abs/2104.00996v1
• [cs.CV]Low Dose Helical CBCT denoising by using domain filtering with deep reinforcement learning
Wooram Kang, Mayank Patwari
http://arxiv.org/abs/2104.00889v1
• [cs.CV]MOST: A Multi-Oriented Scene Text Detector with Localization Refinement
Minghang He, Minghui Liao, Zhibo Yang, Humen Zhong, Jun Tang, Wenqing Cheng, Cong Yao, Yongpan Wang, Xiang Bai
http://arxiv.org/abs/2104.01070v1
• [cs.CV]Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
http://arxiv.org/abs/2104.00887v1
• [cs.CV]Network Quantization with Element-wise Gradient Scaling
Junghyup Lee, Dohyung Kim, Bumsub Ham
http://arxiv.org/abs/2104.00903v1
• [cs.CV]S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
Xiaotian Chen, Yuwang Wang, Xuejin Chen, Wenjun Zeng
http://arxiv.org/abs/2104.00877v1
• [cs.CV]SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom
Kangfu Mei, Shenglong Ye, Rui Huang
http://arxiv.org/abs/2104.00848v1
• [cs.CV]Self-supervised Video Representation Learning by Context and Motion Decoupling
Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin
http://arxiv.org/abs/2104.00862v1
• [cs.CV]Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation
Octave Mariotti, Hakan Bilen
http://arxiv.org/abs/2104.01103v1
• [cs.CV]TFill: Image Completion via a Transformer-Based Architecture
Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
http://arxiv.org/abs/2104.00845v1
• [cs.CV]The Spatially-Correlative Loss for Various Image Translation Tasks
Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
http://arxiv.org/abs/2104.00854v1
• [cs.CV]Towards High Fidelity Face Relighting with Realistic Shadows
Andrew Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu
http://arxiv.org/abs/2104.00825v1
• [cs.CV]TubeR: Tube-Transformer for Action Detection
Jiaojiao Zhao, Arthur Li, Chunhui Liu, Shuai Bing, Hao Chen, Cees G. M. Snoek, Joseph Tighe
http://arxiv.org/abs/2104.00969v1
• [cs.CV]UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li
http://arxiv.org/abs/2104.00946v1
• [cs.CV]Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD
A Vinay, Aviral Joshi, Hardik Mahipal Surana, Harsh Garg, K N BalasubramanyaMurthy, S Natarajan
http://arxiv.org/abs/2104.00842v1
• [cs.CV]Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning
Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, Yong Man Ro
http://arxiv.org/abs/2104.00924v1
• [cs.CV]VisQA: X-raying Vision and Language Reasoning in Transformers
Theo Jaunet, Corentin Kervadec, Romain Vuillemot, Grigory Antipov, Moez Baccouche, Christian Wolf
http://arxiv.org/abs/2104.00926v1
• [cs.CV]Visual Semantic Role Labeling for Video Understanding
Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi
http://arxiv.org/abs/2104.00990v1
• [cs.CY]From banks to DeFi: the evolution of the lending market
Jiahua Xu, Nikhil Vadgama
http://arxiv.org/abs/2104.00970v1
• [cs.CY]Limiting Tags Fosters Efficiency
Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic
http://arxiv.org/abs/2104.01028v1
• [cs.CY]The polarising effect of Review Bomb
Venera Tomaselli, Giulio Giacomo Cantone, Valeria Mazzeo
http://arxiv.org/abs/2104.01140v1
• [cs.CY]Trends in eBusiness and eGovernment
Antonio Sánchez-Bayón, Miguel Ángel García-Ramos Lucero, Annie Ng Cheng San, Choy Johnn Yee, Krishna Moorthy, Alex Foo Tun Lee, Angelita Kithatu-Kiwekete, Shikha Vyas-Doorgapersad, Anthony Kiryagana Isabirye, Nobukhosi Dlodlo, Lydia Mbati, Edmore Tarambiwa, Chengedzai Mafini, Anastas Djurovski, Ephrem Habtemichael Redda, Jhalukpreya Surujlal
http://arxiv.org/abs/2104.01176v1
• [cs.DB]An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines
Umair Qudus, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Young-koo Lee
http://arxiv.org/abs/2104.00984v1
• [cs.DC]Daisen: A Framework for Visualizing Detailed GPU Execution
Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David Kaeli
http://arxiv.org/abs/2104.00828v1
• [cs.DC]ESTemd: A Distributed Processing Framework for Environmental Monitoring based on Apache Kafka Streaming Engine
Adeyinka Akanbi
http://arxiv.org/abs/2104.01082v1
• [cs.DC]Efficient Replication via Timestamp Stability (Extended Version)
Vitor Enes, Carlos Baquero, Alexey Gotsman, Pierre Sutra
http://arxiv.org/abs/2104.01142v1
• [cs.DC]FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance
Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen
http://arxiv.org/abs/2104.00897v1
• [cs.DC]Scalable Hash Table for NUMA Systems
Alok Tripathy, Oded Green
http://arxiv.org/abs/2104.00792v1
• [cs.DS]Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering
Yiqiu Wang, Shangdi Yu, Yan Gu, Julian Shun
http://arxiv.org/abs/2104.01126v1
• [cs.HC]Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning
Yu Zhang, Martijn Tennekes, Tim de Jong, Lyana Curier, Bob Coecke, Min Chen
http://arxiv.org/abs/2104.01129v1
• [cs.IR]Fast-adapting and Privacy-preserving Federated Recommender System
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
http://arxiv.org/abs/2104.00919v1
• [cs.IR]GRN: Generative Rerank Network for Context-wise Recommendation
Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou
http://arxiv.org/abs/2104.00860v1
• [cs.IR]Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites
Jason Wang, Robert E. Weiss
http://arxiv.org/abs/2104.01115v1
• [cs.IR]The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles
Angelo A. Salatino, Francesco Osborne, Thiviyan Thanapalasingam, Enrico Motta
http://arxiv.org/abs/2104.00948v1
• [cs.IR]Topic Scaling: A Joint Document Scaling — Topic Model Approach To Learn Time-Specific Topics
Sami Diaf, Ulrich Fritsche
http://arxiv.org/abs/2104.01117v1
• [cs.IT]Algorithms for Poisson Phase Retrieval
Zongyu Li, Kenneth Lange, Jeffrey A. Fessler
http://arxiv.org/abs/2104.00861v1
• [cs.IT]Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance
Minsig Han, Hanchang Seo, Ameha Tsegaye Abebe, Chung G. Kang
http://arxiv.org/abs/2104.00818v1
• [cs.IT]Hybrid and Generalized Bayesian Cramér-Rao Inequalities via Information Geometry
Kumar Vijay Mishra, M. Ashok Kumar
http://arxiv.org/abs/2104.01061v1
• [cs.LG]A Comparison of Similarity Based Instance Selection Methods for Cross Project Defect Prediction
Seyedrebvar Hosseini, Burak Turhan
http://arxiv.org/abs/2104.01024v1
• [cs.LG]A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting
Khwaja Mutahir Ahmad, Gang He, Wenxin Yu, Xiaochuan Xu, Jay Kumar, Muhammad Asim Saleem
http://arxiv.org/abs/2104.00871v1
• [cs.LG]Bayesian Structural Learning for an Improved Diagnosis of Cyber-Physical Systems
Nicolas Olivain, Philipp Tiefenbacher, Jens Kohl
http://arxiv.org/abs/2104.00987v1
• [cs.LG]Detecting Anomalies Through Contrast in Heterogeneous Data
Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan
http://arxiv.org/abs/2104.01156v1
• [cs.LG]DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation
Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, Andrew Spielberg, Robert K. Katzschmann, Wojciech Matusik
http://arxiv.org/abs/2104.00837v1
• [cs.LG]Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)
Igor Halperin
http://arxiv.org/abs/2104.01040v1
• [cs.LG]Efficacy of Bayesian Neural Networks in Active Learning
Vineeth Rakesh, Swayambhoo Jain
http://arxiv.org/abs/2104.00896v1
• [cs.LG]Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz-Rodríguez
http://arxiv.org/abs/2104.00950v1
• [cs.LG]Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
http://arxiv.org/abs/2104.00995v1
• [cs.LG]How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
Jingxi Xu, Bruce Lee, Nikolai Matni, Dinesh Jayaraman
http://arxiv.org/abs/2104.00827v1
• [cs.LG]How Powerful are Performance Predictors in Neural Architecture Search?
Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter
http://arxiv.org/abs/2104.01177v1
• [cs.LG]LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions
Oğuz Kaan Yüksel, Enis Simsar, Ezgi Gülperi Er, Pinar Yanardag
http://arxiv.org/abs/2104.00820v1
• [cs.LG]Multi-Class Data Description for Out-of-distribution Detection
Dongha Lee, Sehun Yu, Hwanjo Yu
http://arxiv.org/abs/2104.00941v1
• [cs.LG]Multitarget Tracking with Transformers
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch
http://arxiv.org/abs/2104.00734v1
• [cs.LG]No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi
http://arxiv.org/abs/2104.00795v1
• [cs.LG]Partition-Guided GANs
Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou
http://arxiv.org/abs/2104.00816v1
• [cs.LG]Reservoir-Based Distributed Machine Learning for Edge Operation
Silvija Kokalj-Filipovic, Paul Toliver, William Johnson, Rob Miller
http://arxiv.org/abs/2104.00751v1
• [cs.LG]Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Remi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed
http://arxiv.org/abs/2104.00954v1
• [cs.LG]Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels
Tiago Santos, Florian Lemmerich, Denis Helic
http://arxiv.org/abs/2104.01029v1
• [cs.LG]Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks
Blaz Bertalanic, Marko Meza, Carolina Fortuna
http://arxiv.org/abs/2104.00972v1
• [cs.NI]Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
http://arxiv.org/abs/2104.00352v2
• [cs.NI]Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service
Chong Zheng, Shengheng Liu, Yongming Huang, Luxi Yang
http://arxiv.org/abs/2104.01036v1
• [cs.RO]An NCAP-like Safety Indicator for Self-Driving Cars
Jimy Cai Huang, Hanna Kurniawati
http://arxiv.org/abs/2104.00859v1
• [cs.RO]An early warning AI-powered portable system to reduce workload and inspect environmental damage after natural disasters
Aryia Dattamajumdar
http://arxiv.org/abs/2104.00876v1
• [cs.RO]CAROM — Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures
Duo Lu, Varun C Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang
http://arxiv.org/abs/2104.00893v1
• [cs.RO]Collision-Aware Target-Driven Object Grasping in Constrained Environments
Xibai Lou, Yang Yang, Changhyun Choi
http://arxiv.org/abs/2104.00776v1
• [cs.RO]Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping
Yantian Zha, Siddhant Bhambri, Lin Guan
http://arxiv.org/abs/2104.00878v1
• [cs.RO]HaptiStylus: A Novel Stylus Capable of Displaying Movement and Rotational Torque Effects
Atakan Arasan, Cagatay Basdogan, T. Metin Sezgin
http://arxiv.org/abs/2104.01088v1
• [cs.RO]Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics
Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa
http://arxiv.org/abs/2104.01021v1
• [cs.RO]SMET: Scenario-based Metamorphic Testing for Autonomous Driving Models
Haiyang Ao, Ya Pan
http://arxiv.org/abs/2104.01093v1
• [cs.RO]SMORES-EP, a Modular Robot with Parallel Self-assembly
Chao Liu, Qian Lin, Hyun Kim, Mark Yim
http://arxiv.org/abs/2104.00800v1
• [cs.RO]Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry
Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
http://arxiv.org/abs/2104.01167v1
• [cs.RO]Task-Invariant Learning of Continuous Joint Kinematics during Steady-State and Transient Ambulation Using Ultrasound Sensing
M. Hassan Jahanandish, Kaitlin G. Rabe, Abhishek Srinivas, Nicholas P. Fey, Kenneth Hoyt
http://arxiv.org/abs/2104.00774v1
• [cs.SD]Out of a hundred trials, how many errors does your speaker verifier make?
Niko Brümmer, Luciana Ferrer, Albert Swart
http://arxiv.org/abs/2104.00732v1
• [cs.SD]Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli
http://arxiv.org/abs/2104.01027v1
• [cs.SE]A Context Aware and Self Adaptation Strategy for Cloud Service Selection and Configuration in Run Time
Asmae Benali, Bouchra El Asri
http://arxiv.org/abs/2104.00813v1
• [cs.SE]Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang
http://arxiv.org/abs/2104.01032v1
• [cs.SE]Toward Sensor and Software Product Line Based Context Aware Cloud Environment Assignment
Asmae Benali, Bouchra El Asri, Houda Kriouile
http://arxiv.org/abs/2104.00815v1
• [cs.SE]Towards Rigorous Selection and Configuration of Cloud Services: Research Methodology
Asmae Benali, Bouchra El Asri
http://arxiv.org/abs/2104.00819v1
• [cs.SI]An active inference model of collective intelligence
Rafael Kaufmann, Pranav Gupta, Jacob Taylor
http://arxiv.org/abs/2104.01066v1
• [cs.SI]Choice-Aware User Engagement Modeling andOptimization on Social Media
Saketh Reddy Karra, Theja Tulabandhula
http://arxiv.org/abs/2104.00801v1
• [cs.SI]Misinformation Warning Labels: Twitter’s Soft Moderation Effects on COVID-19 Vaccine Belief Echoes
Filipo Sharevski, Raniem Alsaadi, Peter Jachim, Emma Pieroni
http://arxiv.org/abs/2104.00779v1
• [cs.SI]Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
http://arxiv.org/abs/2104.00853v1
• [cs.SI]Topological Data Analysis of Spatial Systems
Michelle Feng, Abigail Hickok, Mason A. Porter
http://arxiv.org/abs/2104.00720v1
• [econ.GN]The Production and Consumption of Social Media
Apostolos Filippas, John Horton
http://arxiv.org/abs/2104.00834v1
• [eess.AS]Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques
Kang-wook Kim, Seung-won Park, Myun-chul Joe
http://arxiv.org/abs/2104.00931v1
• [eess.AS]Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation
Siyuan Feng, Piotr Żelasko, Laureano Moro-Velázquez, Odette Scharenborg
http://arxiv.org/abs/2104.00994v1
• [eess.IV]Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
Mobarakol Islam, Vibashan VS, V Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren
http://arxiv.org/abs/2104.00985v1
• [eess.IV]Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation
Saahil Jain, Akshay Smit, Andrew Y. Ng, Pranav Rajpurkar
http://arxiv.org/abs/2104.00793v1
• [eess.IV]Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information
Mobarakol Islam, V Jeya Maria Jose, Hongliang Ren
http://arxiv.org/abs/rg/abs/2104.00980v1
• [eess.IV]Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information
Mobarakol Islam, V Jeya Maria Jose, Hongliang Ren
http://arxiv.org/abs/2104.00980v1
• [eess.IV]Prediction of Tuberculosis using U-Net and segmentation techniques
Dennis Núñez-Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos, Jorge Coronel, Patricia Sheen, Mirko Zimic
http://arxiv.org/abs/2104.01071v1
• [eess.IV]Variational Deep Image Denoising
Jae Woong Soh, Nam Ik Cho
http://arxiv.org/abs/2104.00965v1
• [eess.SP]Blind Exploration and Exploitation of Stochastic Experts
Noyan C. Sevuktekin, Andrew C. Singer
http://arxiv.org/abs/2104.01078v1
• [eess.SP]Radar Target Detection aided by Reconfigurable Intelligent Surfaces
Stefano Buzzi, Emanuele Grossi, Marco Lops, Luca Venturino
http://arxiv.org/abs/2104.00768v1
• [eess.SY]Linear Systems can be Hard to Learn
Anastasios Tsiamis, George J. Pappas
http://arxiv.org/abs/2104.01120v1
• [math.NA]Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions
Linjian Ma, Edgar Solomonik
http://arxiv.org/abs/2104.01101v1
• [math.OC]Decision-theoretic reliability sensitivity
Daniel Straub, Max Ehre, Iason Papaioannou
http://arxiv.org/abs/2104.00986v1
• [math.OC]Information-constrained optimization: can adaptive processing of gradients help?
Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi
http://arxiv.org/abs/2104.00979v1
• [math.ST]A Sieve Stochastic Gradient Descent Estimator for Online Nonparametric Regression in Sobolev ellipsoids
Tianyu Zhang, Noah Simon
http://arxiv.org/abs/2104.00846v1
• [math.ST]Bayesian estimation of nonlinear Hawkes process
Deborah Sulem, Vincent Rivoirard, Judith Rousseau
http://arxiv.org/abs/2103.17164v2
• [math.ST]Projection Estimators of the Stationary Density of a Differential Equation Driven by the Fractional Brownian Motion
Nicolas Marie
http://arxiv.org/abs/2104.01144v1
• [physics.app-ph]Constrained non-negative matrix factorization enabling real-time insights of and high-throughput experiments
Phillip M. Maffettone, Aidan C. Daly, Daniel Olds
http://arxiv.org/abs/2104.00864v1
• [physics.flu-dyn]Assessment of machine learning methods for state-to-state approaches
Lorenzo Campoli, Elena Kustova, Polina Maltseva
http://arxiv.org/abs/2104.01042v1
• [q-bio.GN]White paper: The Helix Pathogenicity Prediction Platform
Bas Vroling, Stephan Heijl
http://arxiv.org/abs/2104.01033v1
• [stat.AP]Weekly Bayesian modelling strategy to predict deaths by COVID-19: a model and case study for the state of Santa Catarina, Brazil
Pedro Henrique da Costa Avelar, Luis C. Lamb, Sophia Tsoka, Jonathan Cardoso-Silva
http://arxiv.org/abs/2104.01133v1
• [stat.ME]A Proper Scoring Rule for Validation of Competing Risks Models
Zoe Guan
http://arxiv.org/abs/2104.01000v1
• [stat.ME]An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces
Tianyu Zhang, Noah Simon
http://arxiv.org/abs/2104.00780v1
• [stat.ME]Causality indices for bivariate time series data: a comparative review of performance
Tom Edinburgh, Stephen J. Eglen, Ari Ercole
http://arxiv.org/abs/2104.00718v1
• [stat.ME]Distributional data analysis with accelerometer data in a NHANES database with nonparametric survey regression models
Marcos Matabuena, Alex Petersen
http://arxiv.org/abs/2104.01165v1
• [stat.ME]Dynamic models using score copula innovations
Landan Zhang, Michael K. Pitt, Robert Kohn
http://arxiv.org/abs/2104.00997v1
• [stat.ME]Multivariate time series models for mixed data
Zinsou Max Debaly, Lionel Truquet
http://arxiv.org/abs/2104.01067v1
• [stat.ML]High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
Zhe Zhang, Linjun Zhang
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