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今日学术视野(2021.8.6) - 图1 Compression and 2.7今日学术视野(2021.8.6) - 图2 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 今日学术视野(2021.8.6) - 图3-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今日学术视野(2021.8.6) - 图4 Compression and 2.7今日学术视野(2021.8.6) - 图5 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 今日学术视野(2021.8.6) - 图6-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