astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.dis-nn - 无序系统与神经网络
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.DC - 分布式、并行与集群计算
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NE - 神经与进化计算
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
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
math.CO - 组合数学
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.PE - 人口与发展
q-fin.ST - 统计金融学
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [
1000
cs.CL]Acyclic and Cyclic Reversing Computations in Petri Nets
• [astro-ph.IM]Discovering outliers in the Mars Express thermal power consumption patterns
• [cond-mat.dis-nn]Spacetime Neural Network for High Dimensional Quantum Dynamics
• [cs.AI]Learning Task Agnostic Skills with Data-driven Guidance
• [cs.CL]A Biologically Plausible Parser
• [cs.CL]Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
• [cs.CL]Automatic recognition of suprasegmentals in speech
• [cs.CL]Controlled Text Generation as Continuous Optimization with Multiple Constraints
• [cs.CL]Curriculum learning for language modeling
• [cs.CL]Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification
• [cs.CL]Exploiting BERT For Multimodal Target SentimentClassification Through Input Space Translation
• [cs.CL]How to Query Language Models?
• [cs.CL]Improving Counterfactual Generation for Fair Hate Speech Detection
• [cs.CL]Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation
• [cs.CL]Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
• [cs.CL]Multi-Round Parsing-based Multiword Rules for Scientific OpenIE
• [cs.CL]PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining
• [cs.CL]Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management
• [cs.CL]Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text
• [cs.CL]Summary Explorer: Visualizing the State of the Art in Text Summarization
• [cs.CL]TextCNN with Attention for Text Classification
• [cs.CR]Blockchain-empowered Edge Intelligence for Internet of Medical Things Against COVID-19
• [cs.CR]On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report)
• [cs.CR]Secure and Privacy-Preserving Federated Learning via Co-Utility
• [cs.CV]A universal detector of CNN-generated images using properties of checkerboard artifacts in the frequency domain
• [cs.CV]An Effective Leaf Recognition Using Convolutional Neural Networks Based Features
• [cs.CV]An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition
• [cs.CV]An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications in Surface Smoothing and Imaging
• [cs.CV]Armour: Generalizable Compact Self-Attention for Vision Transformers
• [cs.CV]Combining Attention with Flow for Person Image Synthesis
• [cs.CV]Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
• [cs.CV]Deep Portrait Lighting Enhancement with 3D Guidance
• [cs.CV]Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization
• [cs.CV]Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
• [cs.CV]FPB: Feature Pyramid Branch for Person Re-Identification
• [cs.CV]Free Lunch for Co-Saliency Detection: Context Adjustment
• [cs.CV]Human-In-The-Loop Document Layout Analysis
• [cs.CV]ICECAP: Information Concentrated Entity-aware Image Captioning
• [cs.CV]Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows
• [cs.CV]Internal Video Inpainting by Implicit Long-range Propagation
• [cs.CV]Learning Compatible Embeddings
• [cs.CV]Learning to generate shape from global-local spectra
• [cs.CV]Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators
• [cs.CV]Neural Scene Decoration from a Single Photograph
• [cs.CV]On the Robustness of Domain Adaption to Adversarial Attacks
• [cs.CV]Online Knowledge Distillation for Efficient Pose Estimation
• [cs.CV]Optimizing Latency for Online Video CaptioningUsing Audio-Visual Transformers
• [cs.CV]Point Discriminative Learning for Unsupervised Representation Learning on 3D Point Clouds
• [cs.CV]Question-controlled Text-aware Image Captioning
• [cs.CV]Self-Supervised Learning of Depth and Ego-Motion from Video by Alternative Training and Geometric Constraints from 3D to 2D
• [cs.CV]Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images
• [cs.CV]Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos
• [cs.CV]Signature Verification using Geometrical Features and Artificial Neural Network Classifier
• [cs.CV]Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
• [cs.CV]Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning
• [cs.CV]Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation
• [cs.CV]Towards Coherent Visual Storytelling with Ordered Image Attention
• [cs.CV]Transfer Learning for Pose Estimation of Illustrated Characters
• [cs.CV]Video Similarity and Alignment Learning on Partial Video Copy Detection
• [cs.CV]Vision Transformer with Progressive Sampling
• [cs.CV]Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection
• [cs.CY]Under the Radar — Auditing Fairness in ML for Humanitarian Mapping
• [cs.DC]Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model
• [cs.DC]Deterministic Logarithmic Completeness in the Distributed Sleeping Model
• [cs.DC]ErrorCompensatedX: error compensation for variance reduced algorithms
• [cs.DC]How Can Datacenters Join the Smart Grid to Address the Climate Crisis? Using Simulation to Explore Power and Cost Effects of Direct Participation in the Energy Market
• [cs.DC]Lachesis: Scalable Asynchronous BFT on DAG Streams
• [cs.DC]On Extending Brandt’s Speedup Theorem from LOCAL to Round-Based Full-Information Models
• [cs.DC]Randomized Local Fast Rerouting for Datacenter Networks with Almost Optimal Congestion
• [cs.DC]Singularly Near Optimal Leader Election in Asynchronous Networks
• [cs.DC]The MIT Supercloud Dataset
• [cs.DC]UniGPS: A Unified Programming Framework for Distributed Graph Processing
• [cs.GT]Core-Stable Committees under Restricted Domains
• [cs.HC]Using Interaction Data to Predict Engagement with Interactive Media
• [cs.IR]An Interpretable Music Similarity Measure Based on Path Interestingness
• [cs.IR]An analytical study of content and contexts of keywords on physics
• [cs.IR]Predicting Music Relistening Behavior Using the ACT-R Framework
• [cs.IR]Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 Compression and 2.7 Faster Inference
• [cs.IR]Understanding Human Reading Comprehension with Brain Signals
• [cs.IT]Backscatter Communication System With Dumb Diffusing Surface
• [cs.IT]Information disclosure in the framework of Kolmogorov complexity
• [cs.IT]Reversible -Codes with Applications to DNA Codes
• [cs.IT]Terahertz Wireless Transmissions with Maximal Ratio Combining over Fluctuating Two-Ray Fading
• [cs.IT]When to Preprocess? Keeping Information Fresh for Computing Enable Internet of Things
• [cs.LG]A Pragmatic Look at Deep Imitation Learning
• [cs.LG]Approximating Attributed Incentive Salience In Large Scale Scenarios. A Representation Learning Approach Based on Artificial Neural Networks
• [cs.LG]Categorical EHR Imputation with Generative Adversarial Nets
• [cs.LG]Convergence of gradient descent for learning linear neural networks
• [cs.LG]Deep Learning Chromatic and Clique Numbers of Graphs
• [cs.LG]Efficient Neural Architecture Search with Performance Prediction
• [cs.LG]Emergent Discrete Communication in SemanticSpaces
• [cs.LG]FedJAX: Federated learning simulation with JAX
• [cs.LG]Generic Neural Architecture Search via Regression
• [cs.LG]Graph Attention Network For Microwave Imaging of Brain Anomaly
• [cs.LG]HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic
• [cs.LG]High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training
• [cs.LG]Hyperparameter-free and Explainable Whole Graph Embedding
• [cs.LG]Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
• [cs.LG]Model-Based Opponent Modeling
• [cs.LG]Offline Decentralized Multi-Agent Reinforcement Learning
• [cs.LG]PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
• [cs.LG]Parallelized Reverse Curriculum Generation
• [cs.LG]Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application
• [cs.LG]Policy Gradients Incorporating the Future
• [cs.LG]Reconstructing a dynamical system and forecasting time series by self-consistent deep learning
• [cs.LG]Risk Conditioned Neural Motion Planning
• [cs.LG]Sparse Continuous Distributions and Fenchel-Young Losses
• [cs.LG]Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets
• [cs.NE]Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization
• [cs.NE]DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware
• [cs.NE]Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses
• [cs.RO]Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation
• [cs.RO]Deformation Recovery Control and Post-Impact Trajectory Replanning for Collision-Resilient Mobile Robots
• [cs.RO]Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM
• [cs.RO]Knowledge-Grounded Dialogue Flow Management for Social Robots and Conversational Agents
• [cs.RO]Mechatronic Investigation of Wound Healing Process by Using Micro Robot
• [cs.RO]Rapid Convex Optimization of Centroidal Dynamics using Block Coordinate Descent
• [cs.SD]Improving Music Performance Assessment with Contrastive Learning
• [cs.SD]On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
• [cs.SD]Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning
• [cs.SE]Log-based Anomaly Detection Without Log Parsing
• [cs.SE]The Potential of Using Vision Videos for CrowdRE: Video Comments as a Source of Feedback
• [cs.SI]A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
• [cs.SI]Higher Order Information Identifies Tie Strength
• [cs.SI]Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets
• [eess.AS]Lung Sound Classification Using Co-tuning and Stochastic Normalization
• [eess.IV]Automatic hemisphere segmentation in rodent MRI with lesions
• [eess.IV]DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19
• [eess.IV]MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer’s Disease
• [eess.IV]OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations
• [eess.IV]Physics-based Noise Modeling for Extreme Low-light Photography
• [eess.IV]Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction
• [eess.IV]Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization
• [eess.SP]Auto-encoder based Model for High-dimensional Imbalanced Industrial Data
• [eess.SP]High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers
• [eess.SP]Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst Detection
• [math.CO]Explicit RIP matrices: an update
• [math.CO]Maximum likelihood thresholds via graph rigidity
• [math.OC]Lifted contact dynamics for efficient direct optimal control of rigid body systems with contacts
• [math.OC]Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
• [math.OC]Stochastic Subgradient Descent Escapes Active Strict Saddles
• [math.PR]The volume-of-tube method for Gaussian random fields with inhomogeneous variance
• [math.ST]An approximate randomization test for high-dimensional two-sample Behrens-Fisher problem under arbitrary covariances
• [math.ST]Linear regression under model uncertainty
• [math.ST]Statistical Analysis of Wasserstein Distributionally Robust Estimators
• [physics.soc-ph]Linking the Network Centrality Measures Closeness and Degree
• [q-bio.PE]Identifiability of species network topologies from genomic sequences using the logDet distance
• [q-fin.ST]Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning
• [stat.AP]An autoregressive model for a censored data denoising method robust to outliers with application to the Obépine SARS-Cov-2 monitoring
• [stat.AP]Analysis of an Incomplete Binary Outcome Dichotomized From an Underlying Continuous Variable in Clinical Trials
• [stat.AP]Bayesian Nonparametric Classification for Incomplete Data With a High Missing Rate: an Application to Semiconductor Manufacturing Data
• [stat.AP]Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisons
• [stat.AP]Investigating the Pilot Point Ensemble Kalman Filter for geostatistical inversion and data assimilation
• [stat.AP]Train performance analysis using heterogeneous statistical models
• [stat.ME]A graphical Gaussian process model for multi-fidelity emulation of expensive computer codes
• [stat.ME]Bayesian I-optimal designs for choice experiments with mixtures
• [stat.ME]Conditional Quantile Analysis for Realized GARCH Models
• [stat.ME]Dimension reduction for integrative survival analysis
• [stat.ME]Doubly Robust Estimation with Machine Learning Predictions
• [stat.ME]Extremal Dependence-Based Specification Testing of Time Series
• [stat.ME]Gaussian Process Regression and Classification using International Classification of Disease Codes as Covariates
• [stat.ME]Improved Non-parametric Penalized Maximum Likelihood Estimation for Arbitrarily Censored Survival Data
• [stat.ME]Semiparametric Functional Factor Models with Bayesian Rank Selection
• [stat.ME]Synthetic Controls for Experimental Design
• [stat.ML]MRCpy: A Library for Minimax Risk Classifiers
• [stat.ML]Staged trees and asymmetry-labeled DAGs
·····································
• [
1000
cs.CL]Acyclic and Cyclic Reversing Computations in Petri Nets
Kamila Barylska, Anna Gogolińska
http://arxiv.org/abs/2108.02167v1
• [astro-ph.IM]Discovering outliers in the Mars Express thermal power consumption patterns
Matej Petković, Luke Lucas, Tomaž Stepišnik, Panče Panov, Nikola Simidjievski, Dragi Kocev
http://arxiv.org/abs/2108.02067v1
• [cond-mat.dis-nn]Spacetime Neural Network for High Dimensional Quantum Dynamics
Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
http://arxiv.org/abs/2108.02200v1
• [cs.AI]Learning Task Agnostic Skills with Data-driven Guidance
Even Klemsdal, Sverre Herland, Abdulmajid Murad
http://arxiv.org/abs/2108.01869v1
• [cs.CL]A Biologically Plausible Parser
Daniel Mitropolsky, Michael J. Collins, Christos H. Papadimitriou
http://arxiv.org/abs/2108.02189v1
• [cs.CL]Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
Yixin Cao, Kuang Jun, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua
http://arxiv.org/abs/2108.01387v1
• [cs.CL]Automatic recognition of suprasegmentals in speech
Jiahong Yuan, Neville Ryant, Xingyu Cai, Kenneth Church, Mark Liberman
http://arxiv.org/abs/2108.01122v2
• [cs.CL]Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov
http://arxiv.org/abs/2108.01850v1
• [cs.CL]Curriculum learning for language modeling
Daniel Campos
http://arxiv.org/abs/2108.02170v1
• [cs.CL]Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification
Sangeeta Ghangam, Daniel Whitenack, Joshua Nemecek
http://arxiv.org/abs/2108.02034v1
• [cs.CL]Exploiting BERT For Multimodal Target SentimentClassification Through Input Space Translation
Zaid Khan, Yun Fu
http://arxiv.org/abs/2108.01682v1
• [cs.CL]How to Query Language Models?
Leonard Adolphs, Shehzaad Dhuliawala, Thomas Hofmann
http://arxiv.org/abs/2108.01928v1
• [cs.CL]Improving Counterfactual Generation for Fair Hate Speech Detection
Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani
http://arxiv.org/abs/2108.01721v1
• [cs.CL]Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation
Seongmin Park, Dongchan Shin, Sangyoun Paik, Subong Choi, Alena Kazakova, Jihwa Lee
http://arxiv.org/abs/2108.01812v1
• [cs.CL]Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juanzi Li, Maosong Sun
http://arxiv.org/abs/2108.02035v1
• [cs.CL]Multi-Round Parsing-based Multiword Rules for Scientific OpenIE
Joseph Kuebler, Lingbo Tong, Meng Jiang
http://arxiv.org/abs/2108.02074v1
• [cs.CL]PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining
Machel Reid, Mikel Artetxe
http://arxiv.org/abs/2108.01887v1
• [cs.CL]Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management
Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar
http://arxiv.org/abs/2108.01764v1
• [cs.CL]Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text
Vivek Srivastava, Mayank Singh
http://arxiv.org/abs/2108.01861v1
• [cs.CL]Summary Explorer: Visualizing the State of the Art in Text Summarization
Shahbaz Syed, Tariq Yousef, Khalid Al-Khatib, Stefan Jänicke, Martin Potthast
http://arxiv.org/abs/2108.01879v1
• [cs.CL]TextCNN with Attention for Text Classification
Ibrahim Alshubaily
http://arxiv.org/abs/2108.01921v1
• [cs.CR]Blockchain-empowered Edge Intelligence for Internet of Medical Things Against COVID-19
Hong-Ning Dai, Yulei Wu, Hao Wang, Muhammad Imran, Noman Haider
http://arxiv.org/abs/2108.02100v1
• [cs.CR]On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report)
Jose N. Paredes, Juan Carlos L. Teze, Gerardo I. Simari, Maria Vanina Martinez
http://arxiv.org/abs/2108.02006v1
• [cs.CR]Secure and Privacy-Preserving Federated Learning via Co-Utility
Josep Domingo-Ferrer, Alberto Blanco-Justicia, Jesús Manjón, David Sánchez
http://arxiv.org/abs/2108.01913v1
• [cs.CV]A universal detector of CNN-generated images using properties of checkerboard artifacts in the frequency domain
Miki Tanaka, Sayaka Shiota, Hitoshi Kiya
http://arxiv.org/abs/2108.01892v1
• [cs.CV]An Effective Leaf Recognition Using Convolutional Neural Networks Based Features
Boi M. Quach, Dinh V. Cuong, Nhung Pham, Dang Huynh, Binh T. Nguyen
http://arxiv.org/abs/2108.01808v1
• [cs.CV]An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition
Sachinda Edirisooriya, Hao-Wen Dong, Julian McAuley, Taylor Berg-Kirkpatrick
http://arxiv.org/abs/2108.01769v1
• [cs.CV]An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications in Surface Smoothing and Imaging
Hao Liu, Xue-Cheng Tai, Roland Glowinski
http://arxiv.org/abs/2108.01914v1
• [cs.CV]Armour: Generalizable Compact Self-Attention for Vision Transformers
Lingchuan Meng
http://arxiv.org/abs/2108.01778v1
• [cs.CV]Combining Attention with Flow for Person Image Synthesis
Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li
http://arxiv.org/abs/2108.01823v1
• [cs.CV]Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
Chen Zhang, Runmin Cong, Qinwei Lin, Lin Ma, Feng Li, Yao Zhao, Sam Kwong
http://arxiv.org/abs/2108.01971v1
• [cs.CV]Deep Portrait Lighting Enhancement with 3D Guidance
Fangzhou Han, Can Wang, Hao Du, Jing Liao
http://arxiv.org/abs/2108.02121v1
• [cs.CV]Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization
Rui Qian, Yuxi Li, Huabin Liu, John See, Shuangrui Ding, Xian Liu, Dian Li, Weiyao Lin
http://arxiv.org/abs/2108.02183v1
• [cs.CV]Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun
http://arxiv.org/abs/2108.01390v2
• [cs.CV]FPB: Feature Pyramid Branch for Person Re-Identification
Suofei Zhang, Zirui Yin, Xiofu Wu, Kun Wang, Quan Zhou, Bin Kang
http://arxiv.org/abs/2108.01901v1
• [cs.CV]Free Lunch for Co-Saliency Detection: Context Adjustment
Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Yao Chen, Le Zhang
http://arxiv.org/abs/2108.02093v1
• [cs.CV]Human-In-The-Loop Document Layout Analysis
Xingjiao Wu, Tianlong Ma, Xin Li, Qin Chen, Liang He
http://arxiv.org/abs/2108.02095v1
• [cs.CV]ICECAP: Information Concentrated Entity-aware Image Captioning
Anwen Hu, Shizhe Chen, Qin Jin
http://arxiv.org/abs/2108.02050v1
• [cs.CV]Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows
M. M. A. Valiuddin, C. G. A. Viviers, R. J. G. van Sloun, P. H. N. de With, F. van der Sommen
http://arxiv.org/abs/2108.02155v1
• [cs.CV]Internal Video Inpainting by Implicit Long-range Propagation
Hao Ouyang, Tengfei Wang, Qifeng Chen
http://arxiv.org/abs/2108.01912v1
• [cs.CV]Learning Compatible Embeddings
Qiang Meng, Chixiang Zhang, Xiaoqiang Xu, Feng Zhou
http://arxiv.org/abs/2108.01958v1
• [cs.CV]Learning to generate shape from global-local spectra
Marco Pegoraro, Riccardo Marin, Umberto Castellani, Simone Melzi, Emanuele Rodolà
http://arxiv.org/abs/2108.02161v1
• [cs.CV]Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators
Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
http://arxiv.org/abs/2108.02032v1
• [cs.CV]Neural Scene Decoration from a Single Photograph
Hong-Wing Pang, Yingshu Chen, Binh-Son Hua, Sai-Kit Yeung
http://arxiv.org/abs/2108.01806v1
• [cs.CV]On the Robustness of Domain Adaption to Adversarial Attacks
Liyuan Zhang, Yuhang Zhou, Lei Zhang
http://arxiv.org/abs/2108.01807v1
• [cs.CV]Online Knowledge Distillation for Efficient Pose Estimation
Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan
http://arxiv.org/abs/2108.02092v1
• [cs.CV]Optimizing Latency for Online Video CaptioningUsing Audio-Visual Transformers
Chiori Hori, Takaaki Hori, Jonathan Le Roux
http://arxiv.org/abs/2108.02147v1
• [cs.CV]Point Discriminative Learning for Unsupervised Representation Learning on 3D Point Clouds
Fayao Liu, Guosheng Lin, Chuan-Sheng Foo
http://arxiv.org/abs/2108.02104v1
• [cs.CV]Question-controlled Text-aware Image Captioning
Anwen Hu, Shizhe Chen, Qin Jin
http://arxiv.org/abs/2108.02059v1
• [cs.CV]Self-Supervised Learning of Depth and Ego-Motion from Video by Alternative Training and Geometric Constraints from 3D to 2D
Jiaojiao Fang, Guizhong Liu
http://arxiv.org/abs/2108.01980v1
• [cs.CV]Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images
Boon Peng Yap, Beng Koon Ng
http://arxiv.org/abs/2108.02122v1
• [cs.CV]Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos
Siqi Wang, Guang Yu, Zhiping Cai, En Zhu, Xinwang Liu, Jianping Yin, Chengzhang Zhu
http://arxiv.org/abs/2108.01975v1
• [cs.CV]Signature Verification using Geometrical Features and Artificial Neural Network Classifier
Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh
http://arxiv.org/abs/2108.02029v1
• [cs.CV]Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot
http://arxiv.org/abs/2108.01959v1
• [cs.CV]Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning
Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci
http://arxiv.org/abs/2108.01775v1
• [cs.CV]Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation
Chi-Wei Hsiao, Cheng Sun, Hwann-Tzong Chen, Min Sun
http://arxiv.org/abs/2108.01866v1
• [cs.CV]Towards Coherent Visual Storytelling with Ordered Image Attention
Tom Braude, Idan Schwartz, Alexander Schwing, Ariel Shamir
http://arxiv.org/abs/2108.02180v1
• [cs.CV]Transfer Learning for Pose Estimation of Illustrated Characters
Shuhong Chen, Matthias Zwicker
http://arxiv.org/abs/2108.01819v1
• [cs.CV]Video Similarity and Alignment Learning on Partial Video Copy Detection
Zhen Han, Xiangteng He, Mingqian Tang, Yiliang Lv
http://arxiv.org/abs/2108.01817v1
• [cs.CV]Vision Transformer with Progressive Sampling
Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip Torr, Wayne Zhang, Dahua Lin
http://arxiv.org/abs/2108.01684v1
• [cs.CV]Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection
Chen-Lin Zhang, Yin Li, Jianxin Wu
http://arxiv.org/abs/2108.01785v1
• [cs.CY]Under the Radar — Auditing Fairness in ML for Humanitarian Mapping
Lukas Kondmann, Xiao Xiang Zhu
http://arxiv.org/abs/2108.02137v1
• [cs.DC]Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model
Ioannis Anagnostides, Themis Gouleakis
http://arxiv.org/abs/2108.01740v1
• [cs.DC]Deterministic Logarithmic Completeness in the Distributed Sleeping Model
Leonid Barenboim, Tzalik Maimon
http://arxiv.org/abs/2108.01963v1
• [cs.DC]ErrorCompensatedX: error compensation for variance reduced algorithms
Hanlin Tang, Yao Li, Ji Liu, Ming Yan
http://arxiv.org/abs/2108.02102v1
• [cs.DC]How Can Datacenters Join the Smart Grid to Address the Climate Crisis? Using Simulation to Explore Power and Cost Effects of Direct Participation in the Energy Market
Hongyu He
http://arxiv.org/abs/2108.01776v1
• [cs.DC]Lachesis: Scalable Asynchronous BFT on DAG Streams
Quan Nguyen, Andre Cronje, Michael Kong, Egor Lysenko, Alex Guzev
http://arxiv.org/abs/2108.01900v1
• [cs.DC]On Extending Brandt’s Speedup Theorem from LOCAL to Round-Based Full-Information Models
Paul Bastide, Pierre Fraigniaud
http://arxiv.org/abs/2108.01989v1
• [cs.DC]Randomized Local Fast Rerouting for Datacenter Networks with Almost Optimal Congestion
Gregor Bankhamer, Robert Elsässer, Stefan Schmid
http://arxiv.org/abs/2108.02136v1
• [cs.DC]Singularly Near Optimal Leader Election in Asynchronous Networks
Shay Kutten, William K. Moses Jr., Gopal Pandurangan, David Peleg
http://arxiv.org/abs/2108.02197v1
• [cs.DC]The MIT Supercloud Dataset
Siddharth Samsi, Matthew L Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally
http://arxiv.org/abs/2108.02037v1
• [cs.DC]UniGPS: A Unified Programming Framework for Distributed Graph Processing
Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
http://arxiv.org/abs/2108.01922v1
• [cs.GT]Core-Stable Committees under Restricted Domains
Grzegorz Pierczyński, Piotr Skowron
http://arxiv.org/abs/2108.01987v1
• [cs.HC]Using Interaction Data to Predict Engagement with Interactive Media
Jonathan Carlton, Andy Brown, Caroline Jay, John Keane
http://arxiv.org/abs/2108.01949v1
• [cs.IR]An Interpretable Music Similarity Measure Based on Path Interestingness
Giovanni Gabbolini, Derek Bridge
http://arxiv.org/abs/2108.01632v2
• [cs.IR]An analytical study of content and contexts of keywords on physics
Bidyarthi Dutta
http://arxiv.org/abs/2108.01915v1
• [cs.IR]Predicting Music Relistening Behavior Using the ACT-R Framework
Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
http://arxiv.org/abs/2108.02138v1
• [cs.IR]Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 Compression and 2.7 Faster Inference
Aditya Desai, Li Chou, Anshumali Shrivastava
http://arxiv.org/abs/2108.02191v1
• [cs.IR]Understanding Human Reading Comprehension with Brain Signals
Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang, Shaoping Ma
http://arxiv.org/abs/2108.01360v2
• [cs.IT]Backscatter Communication System With Dumb Diffusing Surface
Jean-Marc Kelif, Dinh-Thuy Phan-Huy
http://arxiv.org/abs/2108.02018v1
• [cs.IT]Information disclosure in the framework of Kolmogorov complexity
Nikolay Vereshchagin
http://arxiv.org/abs/2108.01685v1
• [cs.IT]Reversible -Codes with Applications to DNA Codes
Adrian Korban, Serap Sahinkaya, Deniz Ustun
http://arxiv.org/abs/2108.02033v1
• [cs.IT]Terahertz Wireless Transmissions with Maximal Ratio Combining over Fluctuating Two-Ray Fading
Atharva Anand Joshi, Pranay Bhardwaj, S. M. Zafaruddin
http://arxiv.org/abs/2108.01698v1
• [cs.IT]When to Preprocess? Keeping Information Fresh for Computing Enable Internet of Things
Xijun Wang, Minghao Fang, Chao Xu, Howard H. Yang, Xinghua Sun, Xiang Chen, Tony Q. S. Quek
http://arxiv.org/abs/2108.01919v1
• [cs.LG]A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran, Dan Ogawa Lillrank
http://arxiv.org/abs/2108.01867v1
• [cs.LG]Approximating Attributed Incentive Salience In Large Scale Scenarios. A Representation Learning Approach Based on Artificial Neural Networks
Valerio Bonometti, Mathieu J. Ruiz, Anders Drachen, Alex Wade
http://arxiv.org/abs/2108.01724v1
• [cs.LG]Categorical EHR Imputation with Generative Adversarial Nets
Yinchong Yang, Zhiilang Wu, Volker Tresp, Peter A. Fasching
http://arxiv.org/abs/2108.01701v1
• [cs.LG]Convergence of gradient descent for learning linear neural networks
Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege
http://arxiv.org/abs/2108.02040v1
• [cs.LG]Deep Learning Chromatic and Clique Numbers of Graphs
Jason Van Hulse, Joshua S. Friedman
http://arxiv.org/abs/2108.01810v1
• [cs.LG]Efficient Neural Architecture Search with Performance Prediction
Ibrahim Alshubaily
http://arxiv.org/abs/2108.01854v1
• [cs.LG]Emergent Discrete Communication in SemanticSpaces
Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia Sycara, Michael Lewis, Julie Shah
http://arxiv.org/abs/2108.01828v1
• [cs.LG]FedJAX: Federated learning simulation with JAX
Jae Hun Ro, Ananda Theertha Suresh, Ke Wu
http://arxiv.org/abs/2108.02117v1
• [cs.LG]Generic Neural Architecture Search via Regression
Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
http://arxiv.org/abs/2108.01899v1
• [cs.LG]Graph Attention Network For Microwave Imaging of Brain Anomaly
A. Al-Saffar, L. Guo, A. Abbosh
http://arxiv.org/abs/2108.01965v1
• [cs.LG]HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic
Mateusz Gniewkowski, Henryk Maciejewski, Tomasz R. Surmacz, Wiktor Walentynowicz
http://arxiv.org/abs/2108.01763v1
• [cs.LG]High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training
Tauseef Gulrez, Warren Mansell
http://arxiv.org/abs/2108.01895v1
• [cs.LG]Hyperparameter-free and Explainable Whole Graph Embedding
Hao Wang, Yue Deng, Linyuan Lü, Guanrong Chen
http://arxiv.org/abs/2108.02113v1
• [cs.LG]Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
Yuping Luo, Tengyu Ma
http://arxiv.org/abs/2108.01846v1
• [cs.LG]Model-Based Opponent Modeling
Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu
http://arxiv.org/abs/2108.01843v1
• [cs.LG]Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang, Zongqing Lu
http://arxiv.org/abs/2108.01832v1
• [cs.LG]PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof, Eldad Haber, Eran Treister
http://arxiv.org/abs/2108.01938v1
• [cs.LG]Parallelized Reverse Curriculum Generation
Zih-Yun Chiu, Yi-Lin Tuan, Hung-yi Lee, Li-Chen Fu
http://arxiv.org/abs/2108.02128v1
• [cs.LG]Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application
Joo Hun Yoo, Ha Min Son, Hyejun Jeong, Eun-Hye Jang, Ah Young Kim, Han Young Yu, Hong Jin Jeon, Tai-Myoung Chung
http://arxiv.org/abs/2108.01903v1
• [cs.LG]Policy Gradients Incorporating the Future
David Venuto, Elaine Lau, Doina Precup, Ofir Nachum
http://arxiv.org/abs/2108.02096v1
• [cs.LG]Reconstructing a dynamical system and forecasting time series by self-consistent deep learning
Zhe Wang, Claude Guet
http://arxiv.org/abs/2108.01862v1
• [cs.LG]Risk Conditioned Neural Motion Planning
Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Williams
http://arxiv.org/abs/2108.01851v1
• [cs.LG]Sparse Continuous Distributions and Fenchel-Young Losses
André F. T. Martins, Marcos Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae
http://arxiv.org/abs/2108.01988v1
• [cs.LG]Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets
Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard
http://arxiv.org/abs/2108.01660v2
• [cs.NE]Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization
Wenrui Zhang, Peng Li
http://arxiv.org/abs/2108.01793v1
• [cs.NE]DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James Shackleford, Nagarajan Kandasamy
http://arxiv.org/abs/2108.02023v1
• [cs.NE]Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses
Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri
http://arxiv.org/abs/2108.01804v1
• [cs.RO]Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation
Felix Stache, Jonas Westheider, Federico Magistri, Marija Popović, Cyrill Stachniss
http://arxiv.org/abs/2108.01884v1
• [cs.RO]Deformation Recovery Control and Post-Impact Trajectory Replanning for Collision-Resilient Mobile Robots
Zhouyu Lu, Zhichao Liu, Konstantinos Karydis
http://arxiv.org/abs/2108.01802v1
• [cs.RO]Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM
Huaiyang Huang, Haoyang Ye, Yuxiang Sun, Lujia Wang, Ming Liu
http://arxiv.org/abs/2108.02028v1
• [cs.RO]Knowledge-Grounded Dialogue Flow Management for Social Robots and Conversational Agents
Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa
http://arxiv.org/abs/2108.02174v1
• [cs.RO]Mechatronic Investigation of Wound Healing Process by Using Micro Robot
Abdurrahim Yilmaz, Ali Anil Demircali, Serra Ozkasap, Leyla Yorgancioglu, Huseyin Uvet
http://arxiv.org/abs/2108.02162v1
• [cs.RO]Rapid Convex Optimization of Centroidal Dynamics using Block Coordinate Descent
Paarth Shah, Avadesh Meduri, Wolfgang Merkt, Majid Khadiv, Ioannis Havoutis, Ludovic Righetti
http://arxiv.org/abs/2108.01797v1
• [cs.SD]Improving Music Performance Assessment with Contrastive Learning
Pavan Seshadri, Alexander Lerch
http://arxiv.org/abs/2108.01711v1
• [cs.SD]On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot
http://arxiv.org/abs/2108.02010v1
• [cs.SD]Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning
Ahmed Ibrahim, Ayman El-Refai, Sara Ahmed, Mariam Aboul-Ela, Hesham M. Eraqi, Mohamed Moustafa
http://arxiv.org/abs/2108.02148v1
• [cs.SE]Log-based Anomaly Detection Without Log Parsing
Van-Hoang Le, Hongyu Zhang
http://arxiv.org/abs/2108.01955v1
• [cs.SE]The Potential of Using Vision Videos for CrowdRE: Video Comments as a Source of Feedback
Oliver Karras, Eklekta Kristo, Jil Klünder
http://arxiv.org/abs/2108.02076v1
• [cs.SI]A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
Ali Tavasoli, Teague Henry, Heman Shakeri
http://arxiv.org/abs/2108.02005v1
• [cs.SI]Higher Order Information Identifies Tie Strength
Arnab Sarker, Jean-Baptiste Seby, Austin R. Benson, Ali Jadbabaie
http://arxiv.org/abs/2108.02091v1
• [cs.SI]Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets
Sara Melotte, Mayank Kejriwal
http://arxiv.org/abs/2108.01699v1
• [eess.AS]Lung Sound Classification Using Co-tuning and Stochastic Normalization
Truc Nguyen, Franz Pernkopf
http://arxiv.org/abs/2108.01991v1
• [eess.IV]Automatic hemisphere segmentation in rodent MRI with lesions
Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka
http://arxiv.org/abs/2108.01941v1
• [eess.IV]DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19
Chengtao Peng, Yunfei Long, Senhua Zhu, Dandan Tu, Bin Li
http://arxiv.org/abs/2108.01997v1
• [eess.IV]MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer’s Disease
Apoorva Sikka, Skand, Jitender Singh Virk, Deepti R. Bathula
http://arxiv.org/abs/2108.02160v1
• [eess.IV]OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations
Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido Davidzon, Akshay Chaudhari, Matthew P Lungren
http://arxiv.org/abs/2108.02016v1
• [eess.IV]Physics-based Noise Modeling for Extreme Low-light Photography
Kaixuan Wei, Ying Fu, Yinqiang Zheng, Jiaolong Yang
http://arxiv.org/abs/2108.02158v1
• [eess.IV]Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction
Minyi Zhao, Yi Xu, Shuigeng Zhou
http://arxiv.org/abs/2108.02110v1
• [eess.IV]Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization
Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge
http://arxiv.org/abs/2108.01821v1
• [eess.SP]Auto-encoder based Model for High-dimensional Imbalanced Industrial Data
Chao Zhang1, Sthitie Bom
http://arxiv.org/abs/2108.02083v1
• [eess.SP]High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers
Qijuan Jie, Xichao Zhan, Feng Shu, Yaohui Ding, Baihua Shi, Yifan Li, Jiangzhou Wang
http://arxiv.org/abs/2108.02011v1
• [eess.SP]Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst Detection
Christopher Lundy, John M. O’Toole
http://arxiv.org/abs/2108.02039v1
• [math.CO]Explicit RIP matrices: an update
Kevin Ford, Denka Kutzarova, George Shakan
http://arxiv.org/abs/2108.01794v1
• [math.CO]Maximum likelihood thresholds via graph rigidity
Daniel Irving Bernstein, Sean Dewar, Steven J. Gortler, Anthony Nixon, Meera Sitharam, Louis Theran
http://arxiv.org/abs/2108.02185v1
• [math.OC]Lifted contact dynamics for efficient direct optimal control of rigid body systems with contacts
Sotaro Katayama, Toshiyuki Ohtsuka
http://arxiv.org/abs/2108.01781v1
• [math.OC]Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
Yuetian Luo, Xudong Li, Anru R. Zhang
http://arxiv.org/abs/2108.01772v1
• [math.OC]Stochastic Subgradient Descent Escapes Active Strict Saddles
Pascal Bianchi, Walid Hachem, Sholom Schechtman
http://arxiv.org/abs/2108.02072v1
• [math.PR]The volume-of-tube method for Gaussian random fields with inhomogeneous variance
Satoshi Kuriki, Akimichi Takemura, Jonathan E. Taylor
http://arxiv.org/abs/2108.02118v1
• [math.ST]An approximate randomization test for high-dimensional two-sample Behrens-Fisher problem under arbitrary covariances
Rui Wang, Wangli Xu
http://arxiv.org/abs/2108.01860v1
• [math.ST]Linear regression under model uncertainty
Shuzhen Yang, Jianfeng Yao
http://arxiv.org/abs/2108.02140v1
• [math.ST]Statistical Analysis of Wasserstein Distributionally Robust Estimators
Jose Blanchet, Karthyek Murthy, Viet Anh Nguyen
http://arxiv.org/abs/2108.02120v1
• [physics.soc-ph]Linking the Network Centrality Measures Closeness and Degree
Tim S. Evans, Bingsheng Chen
http://arxiv.org/abs/2108.01149v2
• [q-bio.PE]Identifiability of species network topologies from genomic sequences using the logDet distance
Elizabeth S. Allman, Hector Baños, John A. Rhodes
http://arxiv.org/abs/2108.01765v1
• [q-fin.ST]Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning
Zhaolu Dong, Shan Huang, Simiao Ma, Yining Qian
http://arxiv.org/abs/2108.01758v1
• [stat.AP]An autoregressive model for a censored data denoising method robust to outliers with application to the Obépine SARS-Cov-2 monitoring
Marie Courbariaux, Nicolas Cluzel, Siyun Wang, Vincent Maréchal, Laurent Moulin, Sébastien Wurtzer, Obépine consortium, Jean-Marie Mouchel, Yvon Maday, Grégory Nuel
http://arxiv.org/abs/2108.02115v1
• [stat.AP]Analysis of an Incomplete Binary Outcome Dichotomized From an Underlying Continuous Variable in Clinical Trials
Chenchen Ma, Xin Shen, Yongming Qu, Yu Du
http://arxiv.org/abs/2108.02064v1
• [stat.AP]Bayesian Nonparametric Classification for Incomplete Data With a High Missing Rate: an Application to Semiconductor Manufacturing Data
Sewon Park, Kyeongwon Lee, Da-Eun Jeong, Heung-Kook Ko, Jaeyong Lee
http://arxiv.org/abs/2107.14409v2
• [stat.AP]Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisons
Ekkehard Glimm, Lillian Yau
http://arxiv.org/abs/2108.01896v1
• [stat.AP]Investigating the Pilot Point Ensemble Kalman Filter for geostatistical inversion and data assimilation
Johannes Keller, Harrie-Jan Hendricks Franssen, Wolfgang Nowak
http://arxiv.org/abs/2108.02164v1
• [stat.AP]Train performance analysis using heterogeneous statistical models
Jianfeng Wang, Jun Yu
http://arxiv.org/abs/2108.01931v1
• [stat.ME]A graphical Gaussian process model for multi-fidelity emulation of expensive computer codes
Yi Ji, Simon Mak, Derek Soeder, J-F Paquet, Steffen A. Bass
http://arxiv.org/abs/2108.00306v2
• [stat.ME]Bayesian I-optimal designs for choice experiments with mixtures
Mario Becerra, Peter Goos
http://arxiv.org/abs/2108.01748v1
• [stat.ME]Conditional Quantile Analysis for Realized GARCH Models
Donggyu Kim, Minseog Oh, Yazhen Wang
http://arxiv.org/abs/2108.01967v1
• [stat.ME]Dimension reduction for integrative survival analysis
Aaron J. Molstad, Rohit K. Patra
http://arxiv.org/abs/2108.02143v1
• [stat.ME]Doubly Robust Estimation with Machine Learning Predictions
Mehdi Rostami, Olli Saarela, Michael Escobar
http://arxiv.org/abs/2108.01768v1
• [stat.ME]Extremal Dependence-Based Specification Testing of Time Series
Yannick Hoga
http://arxiv.org/abs/2108.01910v1
• [stat.ME]Gaussian Process Regression and Classification using International Classification of Disease Codes as Covariates
Sanvesh Srivastava, Zongyi Xu, Yunyi Li, W. Nick Street, Stephanie Gilbertson-White
http://arxiv.org/abs/2108.01813v1
• [stat.ME]Improved Non-parametric Penalized Maximum Likelihood Estimation for Arbitrarily Censored Survival Data
Justin D. Tubbs, Lane Guolan Chen, Thuan Quoc Thach, Pak C. Sham
http://arxiv.org/abs/2108.01848v1
• [stat.ME]Semiparametric Functional Factor Models with Bayesian Rank Selection
Daniel R. Kowal
http://arxiv.org/abs/2108.02151v1
• [stat.ME]Synthetic Controls for Experimental Design
Alberto Abadie, Jinglong Zhao
http://arxiv.org/abs/2108.02196v1
• [stat.ML]MRCpy: A Library for Minimax Risk Classifiers
Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
http://arxiv.org/abs/2108.01952v1
• [stat.ML]Staged trees and asymmetry-labeled DAGs
Gherardo Varando, Federico Carli, Manuele Leonelli
http://arxiv.org/abs/2108.01994v1