cs.AI - 人工智能
    cs.CG - 计算几何学
    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.DL - 数字图书馆
    cs.GR - 计算机图形学
    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.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
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    math.OC - 优化与控制
    math.PR - 概率
    physics.soc-ph - 物理学与社会
    q-bio.PE - 人口与发展
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Conversational Recommendation:Theoretical Model and Complexity Analysis
    • [cs.AI]Discovering Latent Representations of Relations for Interacting Systems
    • [cs.AI]LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
    • [cs.AI]Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
    • [cs.CG]The Impact of Changes in Resolution on the Persistent Homology of Images
    • [cs.CL]A Computational Approach to Walt Whitman’s Stylistic Changes in Leaves of Grass
    • [cs.CL]A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
    • [cs.CL]BagBERT: BERT-based bagging-stacking for multi-topic classification
    • [cs.CL]Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding
    • [cs.CL]Important Sentence Identification in Legal Cases Using Multi-Class Classification
    • [cs.CL]Learning Logic Rules for Document-level Relation Extraction
    • [cs.CL]Pre-trained Transformer-Based Approach for Arabic Question Answering : A Comparative Study
    • [cs.CL]Prune Once for All: Sparse Pre-Trained Language Models
    • [cs.CL]TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
    • [cs.CR]A framework for comprehensible multi-modal detection of cyber threats
    • [cs.CR]Distribution-Invariant Differential Privacy
    • [cs.CR]Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities
    • [cs.CV]3D modelling of survey scene from images enhanced with a multi-exposure fusion
    • [cs.CV]A Structure Feature Algorithm for Multi-modal Forearm Registration
    • [cs.CV]Analysis of PDE-based binarization model for degraded document images
    • [cs.CV]Are Transformers More Robust Than CNNs?
    • [cs.CV]Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network
    • [cs.CV]CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval
    • [cs.CV]Deep Attention-guided Graph Clustering with Dual Self-supervision
    • [cs.CV]Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique
    • [cs.CV]ICDAR 2021 Competition on Document VisualQuestion Answering
    • [cs.CV]Learning to Disentangle Scenes for Person Re-identification
    • [cs.CV]Learning to ignore: rethinking attention in CNNs
    • [cs.CV]Leveraging Geometry for Shape Estimation from a Single RGB Image
    • [cs.CV]Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features
    • [cs.CV]Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids
    • [cs.CV]Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
    • [cs.CV]Palette: Image-to-Image Diffusion Models
    • [cs.CV]Pipeline for 3D reconstruction of the human body from AR/VR headset mounted egocentric cameras
    • [cs.CV]Robust reconstructions by multi-scale/irregular tangential covering
    • [cs.CV]Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity
    • [cs.CV]Single image dehazing via combining the prior knowledge and CNNs
    • [cs.CV]Space-Time Memory Network for Sounding Object Localization in Videos
    • [cs.CV]Sparse Adversarial Video Attacks with Spatial Transformations
    • [cs.CV]TomoSLAM: factor graph optimization for rotation angle refinement in microtomography
    • [cs.CV]Towards Active Vision for Action Localization with Reactive Control and Predictive Learning
    • [cs.CY]Human-Centric Decision Support Tools: Insights from Real-World Design and Implementation
    • [cs.CY]Nation-wide Mood: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data
    • [cs.DC]Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations
    • [cs.DC]Utilising urgent computing to tackle the spread of mosquito-borne diseases
    • [cs.DL]Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
    • [cs.DL]The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph
    • [cs.GR]Advances in Neural Rendering
    • [cs.GR]Theoretical and empirical analysis of a fast algorithm for extracting polygons from signed distance bounds
    • [cs.GT]Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms
    • [cs.HC]PIMIP: An Open Source Platform for Pathology Information Management and Integration
    • [cs.IR]Design Theory to improve health evidence retrieval
    • [cs.IR]Multimodal Approach for Metadata Extraction from German Scientific Publications
    • [cs.IR]Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems
    • [cs.IT]Covert Communication With Mismatched Decoders
    • [cs.IT]Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value
    • [cs.IT]On the Convergence of Orthogonal/Vector AMP: Long-Memory Message-Passing Strategy
    • [cs.IT]Optimal Delay-Outage Analysis for Noise-Limited Wireless Networks with Caching, Computing, and Communications — Derivations and Proofs
    • [cs.IT]Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks
    • [cs.IT]Transmission Power Control for Over-the-Air Federated Averaging at Network Edge
    • [cs.LG]A Survey on Green Deep Learning
    • [cs.LG]Attention Approximates Sparse Distributed Memory
    • [cs.LG]Automatically detecting data drift in machine learning classifiers
    • [cs.LG]Biomarker Gene Identification for Breast Cancer Classification
    • [cs.LG]Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
    • [cs.LG]Constrained Instance and Class Reweighting for Robust Learning under Label Noise
    • [cs.LG]Convolutional Neural Network Dynamics: A Graph Perspective
    • [cs.LG]Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security
    • [cs.LG]DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology
    • [cs.LG]DP-REC: Private & Communication-Efficient Federated Learning
    • [cs.LG]DataWords: Getting Contrarian with Text, Structured Data and Explanations
    • [cs.LG]DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
    • [cs.LG]Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
    • [cs.LG]Deducing of Optimal Machine Learning Algorithms for Heterogeneity
    • [cs.LG]DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution
    • [cs.LG]Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
    • [cs.LG]Efficient Neural Network Training via Forward and Backward Propagation Sparsification
    • [cs.LG]Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation
    • [cs.LG]Gradients are Not All You Need
    • [cs.LG]Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
    • [cs.LG]Identifying the Risks of Chronic Diseases Using BMI Trajectories
    • [cs.LG]LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
    • [cs.LG]Lightweight machine unlearning in neural network
    • [cs.LG]MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity
    • [cs.LG]Multi-Task Neural Processes
    • [cs.LG]Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
    • [cs.LG]Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
    • [cs.LG]Parallel Physics-Informed Neural Networks with Bidirectional Balance
    • [cs.LG]Physics-enhanced deep surrogates for PDEs
    • [cs.LG]ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
    • [cs.LG]SGD Through the Lens of Kolmogorov Complexity
    • [cs.LG]STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions
    • [cs.LG]Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes
    • [cs.LG]Searching in the Forest for Local Bayesian Optimization
    • [cs.LG]Social Fraud Detection Review: Methods, Challenges and Analysis
    • [cs.LG]Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving
    • [cs.LG]SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
    • [cs.LG]Topic-aware latent models for representation learning on networks
    • [cs.LG]Towards Green Automated Machine Learning: Status Quo and Future Directions
    • [cs.LG]Training Generative Adversarial Networks with Adaptive Composite Gradient
    • [cs.LG]Understanding the Generalization Benefit of Model Invariance from a Data Perspective
    • [cs.NI]VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning
    • [cs.RO]A Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm
    • [cs.RO]AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale
    • [cs.RO]Effects of Design and Hydrodynamic Parameters on Optimized Swimming for Simulated, Fish-inspired Robots
    • [cs.RO]FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
    • [cs.RO]Object Servoing of Differential-Drive Robots
    • [cs.RO]Optimizing robot planning domains to reduce search time for long-horizon planning
    • [cs.RO]Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions
    • [cs.SD]Inclusive Speaker Verification with Adaptive thresholding
    • [cs.SD]Structure from Silence: Learning Scene Structure from Ambient Sound
    • [cs.SE]Counterfactual Explanations for Models of Code
    • [cs.SE]Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection
    • [cs.SE]Statistical Perspectives on Reliability of Artificial Intelligence Systems
    • cs.SIperceptions and Engagement on Twitter: COVID-19 Vaccine Rumors on Efficacy and Mass Immunization Effort
    • [cs.SI]A Hierarchy of Network Models Giving Bistability Under Triadic Closure
    • [cs.SI]Timeliness Through Telephones: Approximating Information Freshness in Vector Clock Models
    • [cs.SI]Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter
    • [cs.SI]What Makes Online Communities ‘Better’? Measuring Values, Consensus, and Conflict across Thousands of Subreddits
    • [eess.AS]HASA-net: A non-intrusive hearing-aid speech assessment network
    • [eess.IV]Early Myocardial Infarction Detection over Multi-view Echocardiography
    • [eess.IV]Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section
    • [eess.IV]Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets
    • [eess.IV]Robust deep learning-based semantic organ segmentation in hyperspectral images
    • [math.OC]Data Compression: Multi-Term Approach
    • [math.OC]Efficient Projection-Free Online Convex Optimization with Membership Oracle
    • [math.OC]Linear Convergence of Stochastic Primal Dual Methods for Linear Programming Using Variance Reduction and Restarts
    • [math.PR]Power-of-two Policies in Redundancy Systems: the Impact of Assignment Constraints
    • [math.PR]The Jacobi Theta Distribution
    • [physics.soc-ph]A Stochastic Graph-based Model for the Simulation of SARS-CoV-2 Transmission
    • [q-bio.PE]Probabilistic predictions of SIS epidemics on networks based on population-level observations
    • [q-bio.PE]The mathematics of contagious diseases and their limitations in forecasting
    • [quant-ph]Importance of Kernel Bandwidth in Quantum Machine Learning
    • [stat.AP]Comparing dominance of tennis’ big three via multiple-output Bayesian quantile regression models
    • [stat.AP]Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets
    • [stat.AP]Evaluation of a meta-analysis of the association between red and processed meat and selected human health effects
    • [stat.AP]Simulating cloud-aerosol interactions made by ship emissions
    • [stat.ME]A 今日学术视野(2021.11.12) - 图1-function for inhomogeneous random measures with geometric features
    • [stat.ME]Clustering of longitudinal data: A tutorial on a variety of approaches
    • [stat.ME]Function-on-function linear quantile regression
    • [stat.ME]Learning Graphs from Smooth and Graph-Stationary Signals with Hidden Variables
    • [stat.ME]Spatial statistics and stochastic partial differential equations: a mechanistic viewpoint
    • [stat.ME]Tracking multiple spawning targets using Poisson multi-Bernoulli mixtures on sets of tree trajectories
    • [stat.ME]variable selection and missing data imputation in categorical genomic data analysis by integrated ridge regression and random forest
    • [stat.ML]Graph Matching via Optimal Transport
    • [stat.ML]Which priors matter? Benchmarking models for learning latent dynamics

    ·····································

    • [cs.AI]Conversational Recommendation:Theoretical Model and Complexity Analysis
    Tommaso Di Noia, Francesco Donini, Dietmar Jannach, FedelucioNarducci, Claudio Pomo
    http://arxiv.org/abs/2111.05578v1

    • [cs.AI]Discovering Latent Representations of Relations for Interacting Systems
    Dohae Lee, Young Jin Oh, In-Kwon Lee
    http://arxiv.org/abs/2111.05514v1

    • [cs.AI]LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
    Yizhou Zhao, Kaixiang Lin, Zhiwei Jia, Qiaozi Gao, Govind Thattai, Jesse Thomason, Gaurav S. Sukhatme
    http://arxiv.org/abs/2111.05527v1

    • [cs.AI]Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
    Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan
    http://arxiv.org/abs/2111.05819v1

    • [cs.CG]The Impact of Changes in Resolution on the Persistent Homology of Images
    Teresa Heiss, Sarah Tymochko, Brittany Story, Adélie Garin, Hoa Bui, Bea Bleile, Vanessa Robins
    http://arxiv.org/abs/2111.05663v1

    • [cs.CL]A Computational Approach to Walt Whitman’s Stylistic Changes in Leaves of Grass
    Jieyan Zhu
    http://arxiv.org/abs/2111.05414v1

    • [cs.CL]A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
    Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihidukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossilleo, Achille Fokoue
    http://arxiv.org/abs/2111.05825v1

    • [cs.CL]BagBERT: BERT-based bagging-stacking for multi-topic classification
    Loïc Rakotoson, Charles Letaillieur, Sylvain Massip, Fréjus Laleye
    http://arxiv.org/abs/2111.05808v1

    • [cs.CL]Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding
    Qianying Liu, Fei Cheng, Sadao Kurohashi
    http://arxiv.org/abs/2111.05805v1

    • [cs.CL]Important Sentence Identification in Legal Cases Using Multi-Class Classification
    Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Amal Shehan Perera
    http://arxiv.org/abs/2111.05721v1

    • [cs.CL]Learning Logic Rules for Document-level Relation Extraction
    Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li
    http://arxiv.org/abs/2111.05407v1

    • [cs.CL]Pre-trained Transformer-Based Approach for Arabic Question Answering : A Comparative Study
    Kholoud Alsubhi, Amani Jamal, Areej Alhothali
    http://arxiv.org/abs/2111.05671v1

    • [cs.CL]Prune Once for All: Sparse Pre-Trained Language Models
    Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat
    http://arxiv.org/abs/2111.05754v1

    • [cs.CL]TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
    Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier
    http://arxiv.org/abs/2111.04198v2

    • [cs.CR]A framework for comprehensible multi-modal detection of cyber threats
    Jan Kohout, Čeněk Škarda, Kyrylo Shcherbin, Martin Kopp, Jan Brabec
    http://arxiv.org/abs/2111.05764v1

    • [cs.CR]Distribution-Invariant Differential Privacy
    Xuan Bi, Xiaotong Shen
    http://arxiv.org/abs/2111.05791v1

    • [cs.CR]Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities
    Esma Mansouri-Benssassi, Simon Rogers, Jim Smith, Felix Ritchie, Emily Jefferson, University of Dundee, NHS National Services Scotland, University of the West of England
    http://arxiv.org/abs/2111.05628v1

    • [cs.CV]3D modelling of survey scene from images enhanced with a multi-exposure fusion
    Kwok-Leung Chan, Liping Li, Arthur Wing-Tak Leung, Ho-Yin Chan
    http://arxiv.org/abs/2111.05541v1

    • [cs.CV]A Structure Feature Algorithm for Multi-modal Forearm Registration
    Jiaxin Li, Yan Ding, Weizhong Zhang, Yifan Zhao, Lingxi Guo, Zhe Yang
    http://arxiv.org/abs/2111.05485v1

    • [cs.CV]Analysis of PDE-based binarization model for degraded document images
    Uche A. Nnolim
    http://arxiv.org/abs/2111.05471v1

    • [cs.CV]Are Transformers More Robust Than CNNs?
    Yutong Bai, Jieru Mei, Alan Yuille, Cihang Xie
    http://arxiv.org/abs/2111.05464v1

    • [cs.CV]Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network
    Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang
    http://arxiv.org/abs/2111.05506v1

    • [cs.CV]CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval
    Zijian Gao, Jingyu Liu, Sheng Chen, Dedan Chang, Hao Zhang, Jinwei Yuan
    http://arxiv.org/abs/2111.05610v1

    • [cs.CV]Deep Attention-guided Graph Clustering with Dual Self-supervision
    Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
    http://arxiv.org/abs/2111.05548v1

    • [cs.CV]Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique
    Arkaprabha Basu, M. Sathya
    http://arxiv.org/abs/2111.05483v1

    • [cs.CV]ICDAR 2021 Competition on Document VisualQuestion Answering
    Rubèn Tito, Minesh Mathew, C. V. Jawahar, Ernest Valveny, Dimosthenis Karatzas
    http://arxiv.org/abs/2111.05547v1

    • [cs.CV]Learning to Disentangle Scenes for Person Re-identification
    Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu
    http://arxiv.org/abs/2111.05476v1

    • [cs.CV]Learning to ignore: rethinking attention in CNNs
    Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
    http://arxiv.org/abs/2111.05684v1

    • [cs.CV]Leveraging Geometry for Shape Estimation from a Single RGB Image
    Florian Langer, Ignas Budvytis, Roberto Cipolla
    http://arxiv.org/abs/2111.05615v1

    • [cs.CV]Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features
    Shubhendu Jena, Franck Multon, Adnane Boukhayma
    http://arxiv.org/abs/2111.05319v2

    • [cs.CV]Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids
    Zhengguo Li, Haiyan Shu, Chaobing Zheng
    http://arxiv.org/abs/2111.05700v1

    • [cs.CV]Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
    Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan
    http://arxiv.org/abs/2111.05759v1

    • [cs.CV]Palette: Image-to-Image Diffusion Models
    Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
    http://arxiv.org/abs/2111.05826v1

    • [cs.CV]Pipeline for 3D reconstruction of the human body from AR/VR headset mounted egocentric cameras
    Shivam Grover, Kshitij Sidana, Vanita Jain
    http://arxiv.org/abs/2111.05409v1

    • [cs.CV]Robust reconstructions by multi-scale/irregular tangential covering
    Antoine Vacavant, Bertrand Kerautret, Fabien Feschet
    http://arxiv.org/abs/2111.05688v1

    • [cs.CV]Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity
    Pritam Sarkar, Ali Etemad
    http://arxiv.org/abs/2111.05329v1

    • [cs.CV]Single image dehazing via combining the prior knowledge and CNNs
    Yuwen Li, Chaobing Zheng, Shiqian Wu, Wangming Xu
    http://arxiv.org/abs/2111.05701v1

    • [cs.CV]Space-Time Memory Network for Sounding Object Localization in Videos
    Sizhe Li, Yapeng Tian, Chenliang Xu
    http://arxiv.org/abs/2111.05526v1

    • [cs.CV]Sparse Adversarial Video Attacks with Spatial Transformations
    Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
    http://arxiv.org/abs/2111.05468v1

    • [cs.CV]TomoSLAM: factor graph optimization for rotation angle refinement in microtomography
    Mark Griguletskii, Mikhail Chekanov, Oleg Shipitko
    http://arxiv.org/abs/2111.05562v1

    • [cs.CV]Towards Active Vision for Action Localization with Reactive Control and Predictive Learning
    Shubham Trehan, Sathyanarayanan N. Aakur
    http://arxiv.org/abs/2111.05448v1

    • [cs.CY]Human-Centric Decision Support Tools: Insights from Real-World Design and Implementation
    Narges Ahani, Andrew C. Trapp
    http://arxiv.org/abs/2111.05796v1

    • [cs.CY]Nation-wide Mood: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data
    Wataru Sasaki, Hiroshi Kawase, Satoko Miyahara, Kota Tsubouchi, Tadashi Okoshi
    http://arxiv.org/abs/2111.05537v1

    • [cs.DC]Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations
    Nick Brown
    http://arxiv.org/abs/2111.05651v1

    • [cs.DC]Utilising urgent computing to tackle the spread of mosquito-borne diseases
    Nick Brown, Rupert Nash, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Markus Flatken, Jules Vidal, Charles Gueunet, Evgenij Belikov, Julien Tierny, Artur Podobas, Wei Der Chien, Stefano Markidis, Andreas Gerndt
    http://arxiv.org/abs/2111.05654v1

    • [cs.DL]Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
    Tarek Saier, Michael Färber, Tornike Tsereteli
    http://arxiv.org/abs/2111.05097v2

    • [cs.DL]The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph
    Stijn Schouten, Victor de Boer, Lodewijk Petram, Marieke van Erp
    http://arxiv.org/abs/2111.05605v1

    • [cs.GR]Advances in Neural Rendering
    Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Niessner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhoefer, Vladislav Golyanik
    http://arxiv.org/abs/2111.05849v1

    • [cs.GR]Theoretical and empirical analysis of a fast algorithm for extracting polygons from signed distance bounds
    Nenad Markuš
    http://arxiv.org/abs/2111.05778v1

    • [cs.GT]Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms
    Jibang Wu, Haifeng Xu, Fan Yao
    http://arxiv.org/abs/2111.05486v1

    • [cs.HC]PIMIP: An Open Source Platform for Pathology Information Management and Integration
    Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li
    http://arxiv.org/abs/2111.05794v1

    • [cs.IR]Design Theory to improve health evidence retrieval
    Alvet Miranda, Shah Jahan Miah
    http://arxiv.org/abs/2111.05587v1

    • [cs.IR]Multimodal Approach for Metadata Extraction from German Scientific Publications
    Azeddine Bouabdallah, Jorge Gavilan, Jennifer Gerbl, Prayuth Patumcharoenpol
    http://arxiv.org/abs/2111.05736v1

    • [cs.IR]Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems
    Masoud Mansoury
    http://arxiv.org/abs/2111.05564v1

    • [cs.IT]Covert Communication With Mismatched Decoders
    Qiaosheng Zhang, Vincent Y. F. Tan
    http://arxiv.org/abs/2111.05665v1

    • [cs.IT]Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value
    Petar Popovski, Federico Chiariotti, Victor Croisfelt, Anders E. Kalør, Israel Leyva-Mayorga, Letizia Marchegiani, Shashi Raj Pandey, Beatriz Soret
    http://arxiv.org/abs/2111.05811v1

    • [cs.IT]On the Convergence of Orthogonal/Vector AMP: Long-Memory Message-Passing Strategy
    Keigo Takeuchi
    http://arxiv.org/abs/2111.05522v1

    • [cs.IT]Optimal Delay-Outage Analysis for Noise-Limited Wireless Networks with Caching, Computing, and Communications — Derivations and Proofs
    Ming-Chun Lee, Andreas F. Molisch
    http://arxiv.org/abs/2111.05535v1

    • [cs.IT]Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks
    Javad Sabzehali, Vijay K. Shah, Qiang Fan, Biplav Choudhury, Lingjia Liu, Jeffrey H. Reed
    http://arxiv.org/abs/2111.05457v1

    • [cs.IT]Transmission Power Control for Over-the-Air Federated Averaging at Network Edge
    Cao Xiaowen, Zhu Guangxu, Xu Jie, Cui Shuguang
    http://arxiv.org/abs/2111.05719v1

    • [cs.LG]A Survey on Green Deep Learning
    Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li
    http://arxiv.org/abs/2111.05193v2

    • [cs.LG]Attention Approximates Sparse Distributed Memory
    Trenton Bricken, Cengiz Pehlevan
    http://arxiv.org/abs/2111.05498v1

    • [cs.LG]Automatically detecting data drift in machine learning classifiers
    Samuel Ackerman, Orna Raz, Marcel Zalmanovici, Aviad Zlotnick
    http://arxiv.org/abs/2111.05672v1

    • [cs.LG]Biomarker Gene Identification for Breast Cancer Classification
    Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Naveen Kumar
    http://arxiv.org/abs/2111.05546v1

    • [cs.LG]Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
    Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay
    http://arxiv.org/abs/2111.05643v1

    • [cs.LG]Constrained Instance and Class Reweighting for Robust Learning under Label Noise
    Abhishek Kumar, Ehsan Amid
    http://arxiv.org/abs/2111.05428v1

    • [cs.LG]Convolutional Neural Network Dynamics: A Graph Perspective
    Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra
    http://arxiv.org/abs/2111.05410v1

    • [cs.LG]Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security
    Allen Starke, Keerthiraj Nagaraj, Cody Ruben, Nader Aljohani, Sheng Zou, Arturo Bretas, Janise McNair, Alina Zare
    http://arxiv.org/abs/2111.05460v1

    • [cs.LG]DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology
    Zhikun Chen, Daofeng Li, Jinkang Zhu, Sihai Zhang
    http://arxiv.org/abs/2111.05505v1

    • [cs.LG]DP-REC: Private & Communication-Efficient Federated Learning
    Aleksei Triastcyn, Matthias Reisser, Christos Louizos
    http://arxiv.org/abs/2111.05454v1

    • [cs.LG]DataWords: Getting Contrarian with Text, Structured Data and Explanations
    Stephen I. Gallant, Mirza Nasir Hossain
    http://arxiv.org/abs/2111.05384v1

    • [cs.LG]DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
    Zhaoxing Yang, Rong Ding, Haiming Jin, Yifei Wei, Haoyi You, Guiyun Fan, Xiaoying Gan, Xinbing Wang
    http://arxiv.org/abs/2111.05670v1

    • [cs.LG]Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
    Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan
    http://arxiv.org/abs/2111.05440v1

    • [cs.LG]Deducing of Optimal Machine Learning Algorithms for Heterogeneity
    Omar Alfarisi, Zeyar Aung, Mohamed Sassi
    http://arxiv.org/abs/2111.05558v1

    • [cs.LG]DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution
    Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei Zaharia
    http://arxiv.org/abs/2111.05426v1

    • [cs.LG]Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
    Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
    http://arxiv.org/abs/2111.05423v1

    • [cs.LG]Efficient Neural Network Training via Forward and Backward Propagation Sparsification
    Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang
    http://arxiv.org/abs/2111.05685v1

    • [cs.LG]Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation
    Minyoung Kim, Timothy Hospedales
    http://arxiv.org/abs/2111.05392v1

    • [cs.LG]Gradients are Not All You Need
    Luke Metz, C. Daniel Freeman, Samuel S. Schoenholz, Tal Kachman
    http://arxiv.org/abs/2111.05803v1

    • [cs.LG]Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
    Joonhyung Park, Hajin Shim, Eunho Yang
    http://arxiv.org/abs/2111.05639v1

    • [cs.LG]Identifying the Risks of Chronic Diseases Using BMI Trajectories
    Md Mozaharul Mottalib, Jessica C Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti
    http://arxiv.org/abs/2111.05385v1

    • [cs.LG]LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
    Eitan Kosman, Joel Oren, Dotan Di Castro
    http://arxiv.org/abs/2111.05694v1

    • [cs.LG]Lightweight machine unlearning in neural network
    Kongyang Chen, Yiwen Wang, Yao Huang
    http://arxiv.org/abs/2111.05528v1

    • [cs.LG]MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity
    Manuela Nayantara Jeyaraj, Dharshana Kasthurirathna
    http://arxiv.org/abs/2111.05412v1

    • [cs.LG]Multi-Task Neural Processes
    Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao
    http://arxiv.org/abs/2111.05820v1

    • [cs.LG]Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
    Benjamin Shickel, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
    http://arxiv.org/abs/2111.05431v1

    • [cs.LG]Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
    Li Nanbo, Muhammad Ahmed Raza, Hu Wenbin, Zhaole Sun, Robert B. Fisher
    http://arxiv.org/abs/2111.05393v1

    • [cs.LG]Parallel Physics-Informed Neural Networks with Bidirectional Balance
    Yuhao Huang
    http://arxiv.org/abs/2111.05641v1

    • [cs.LG]Physics-enhanced deep surrogates for PDEs
    Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
    http://arxiv.org/abs/2111.05841v1

    • [cs.LG]ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
    Kuan-Lin Chen, Ching-Hua Lee, Harinath Garudadri, Bhaskar D. Rao
    http://arxiv.org/abs/2111.05496v1

    • [cs.LG]SGD Through the Lens of Kolmogorov Complexity
    Gregory Schwartzman
    http://arxiv.org/abs/2111.05478v1

    • [cs.LG]STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions
    Hui Yu, ShiYu Zhao, JianYu Shi
    http://arxiv.org/abs/2111.05708v1

    • [cs.LG]Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes
    Panagiotis Petsagkourakis, Benoit Chachuat, Ehecatl Antonio del Rio-Chanona
    http://arxiv.org/abs/2111.05589v1

    • [cs.LG]Searching in the Forest for Local Bayesian Optimization
    Difan Deng, Marius Lindauer
    http://arxiv.org/abs/2111.05834v1

    • [cs.LG]Social Fraud Detection Review: Methods, Challenges and Analysis
    Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun
    http://arxiv.org/abs/2111.05645v1

    • [cs.LG]Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving
    Jaehyun Kim, Jaeseung Jeong
    http://arxiv.org/abs/2111.05479v1

    • [cs.LG]SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
    Minyoung Kim
    http://arxiv.org/abs/2111.05814v1

    • [cs.LG]Topic-aware latent models for representation learning on networks
    Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
    http://arxiv.org/abs/2111.05576v1

    • [cs.LG]Towards Green Automated Machine Learning: Status Quo and Future Directions
    Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier
    http://arxiv.org/abs/2111.05850v1

    • [cs.LG]Training Generative Adversarial Networks with Adaptive Composite Gradient
    Huiqing Qi, Fang Li, Shengli Tan, Xiangyun Zhang
    http://arxiv.org/abs/2111.05508v1

    • [cs.LG]Understanding the Generalization Benefit of Model Invariance from a Data Perspective
    Sicheng Zhu, Bang An, Furong Huang
    http://arxiv.org/abs/2111.05529v1

    • [cs.NI]VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning
    Nyothiri Aung, Sahraoui Dhelim, Liming Chen, Wenyin Zhang, Abderrahmane Lakas, Huansheng Ning
    http://arxiv.org/abs/2111.05567v1

    • [cs.RO]A Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm
    Mrinmoy Sarkar, Xuyang Yan, Abenezer Girma, Abdollah Homaifar
    http://arxiv.org/abs/2111.05413v1

    • [cs.RO]AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale
    Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine
    http://arxiv.org/abs/2111.05424v1

    • [cs.RO]Effects of Design and Hydrodynamic Parameters on Optimized Swimming for Simulated, Fish-inspired Robots
    Donghao Li, Hankun Deng, Yagiz E. Bayiz, Bo Cheng
    http://arxiv.org/abs/2111.05682v1

    • [cs.RO]FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
    Thomas Weng, Sujay Bajracharya, Yufei Wang, Khush Agrawal, David Held
    http://arxiv.org/abs/2111.05623v1

    • [cs.RO]Object Servoing of Differential-Drive Robots
    Weibin Jia, Wenjie Zhao, Zhihuan Song, Zhengguo Li
    http://arxiv.org/abs/2111.05710v1

    • [cs.RO]Optimizing robot planning domains to reduce search time for long-horizon planning
    Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
    http://arxiv.org/abs/2111.05397v1

    • [cs.RO]Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions
    Chiao Hsieh, Keyur Joshi, Sasa Misailovic, Sayan Mitra
    http://arxiv.org/abs/org/abs/2111.05534v1

    • [cs.SD]Inclusive Speaker Verification with Adaptive thresholding
    Navdeep Jain, Hongcheng Wang
    http://arxiv.org/abs/2111.05501v1

    • [cs.SD]Structure from Silence: Learning Scene Structure from Ambient Sound
    Ziyang Chen, Xixi Hu, Andrew Owens
    http://arxiv.org/abs/2111.05846v1

    • [cs.SE]Counterfactual Explanations for Models of Code
    Jürgen Cito, Isil Dillig, Vijayaraghavan Murali, Satish Chandra
    http://arxiv.org/abs/2111.05711v1

    • [cs.SE]Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection
    Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari
    http://arxiv.org/abs/2111.05827v1

    • [cs.SE]Statistical Perspectives on Reliability of Artificial Intelligence Systems
    Yili Hong, Jiayi Lian, Li Xu, Jie Min, Yueyao Wang, Laura J. Freeman, Xinwei Deng
    http://arxiv.org/abs/2111.05391v1

    • [cs.SI](Mis)perceptions and Engagement on Twitter: COVID-19 Vaccine Rumors on Efficacy and Mass Immunization Effort
    Filipo Sharevski, Allice Huff, Peter Jachim, Emma Pieroni
    http://arxiv.org/abs/2111.05815v1

    • [cs.SI]A Hierarchy of Network Models Giving Bistability Under Triadic Closure
    Stefano Di Giovacchino, Desmond J. Higham, Konstantinos C. Zygalakis
    http://arxiv.org/abs/2111.05715v1

    • [cs.SI]Timeliness Through Telephones: Approximating Information Freshness in Vector Clock Models
    Da Qi Chen, R. Ravi, Oleksandr Rudenko
    http://arxiv.org/abs/2111.05450v1

    • [cs.SI]Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter
    Yuesheng Luo, Mayank Kejriwal
    http://arxiv.org/abs/2111.05823v1

    • [cs.SI]What Makes Online Communities ‘Better’? Measuring Values, Consensus, and Conflict across Thousands of Subreddits
    Galen Weld, Amy X. Zhang, Tim Althoff
    http://arxiv.org/abs/2111.05835v1

    • [eess.AS]HASA-net: A non-intrusive hearing-aid speech assessment network
    Hsin-Tien Chiang, Yi-Chiao Wu, Cheng Yu, Tomoki Toda, Hsin-Min Wang, Yih-Chun Hu, Yu Tsao
    http://arxiv.org/abs/2111.05691v1

    • [eess.IV]Early Myocardial Infarction Detection over Multi-view Echocardiography
    Aysen Degerli, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj
    http://arxiv.org/abs/2111.05790v1

    • [eess.IV]Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section
    Huaqian Wu, Nicolas Souedet, Zhenzhen You, Caroline Jan, Cédric Clouchoux, Thierry Delzescaux
    http://arxiv.org/abs/2111.05789v1

    • [eess.IV]Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets
    Samyak Prajapati, Japman Singh Monga, Shaanya Singh, Amrit Raj, Yuvraj Singh Champawat, Chandra Prakash
    http://arxiv.org/abs/2111.05679v1

    • [eess.IV]Robust deep learning-based semantic organ segmentation in hyperspectral images
    Silvia Seidlitz, Jan Sellner, Jan Odenthal, Berkin Özdemir, Alexander Studier-Fischer, Samuel Knödler, Leonardo Ayala, Tim Adler, Hannes G. Kenngott, Minu Tizabi, Martin Wagner, Felix Nickel, Beat P. Müller-Stich, Lena Maier-Hein
    http://arxiv.org/abs/2111.05408v1

    • [math.OC]Data Compression: Multi-Term Approach
    Pablo Soto-Quiros, Anatoli Torokhti
    http://arxiv.org/abs/2111.05775v1

    • [math.OC]Efficient Projection-Free Online Convex Optimization with Membership Oracle
    Zakaria Mhammedi
    http://arxiv.org/abs/2111.05818v1

    • [math.OC]Linear Convergence of Stochastic Primal Dual Methods for Linear Programming Using Variance Reduction and Restarts
    Haihao Lu, Jinwen Yang
    http://arxiv.org/abs/2111.05530v1

    • [math.PR]Power-of-two Policies in Redundancy Systems: the Impact of Assignment Constraints
    Ellen Cardinaels, Sem Borst, Johan S. H. van Leeuwaarden
    http://arxiv.org/abs/2111.05777v1

    • [math.PR]The Jacobi Theta Distribution
    Caleb Deen Bastian, Grzegorz Rempala, Herschel Rabitz
    http://arxiv.org/abs/2111.05336v1

    • [physics.soc-ph]A Stochastic Graph-based Model for the Simulation of SARS-CoV-2 Transmission
    Christos Chondros, Stavros D. Nikolopoulos, Iosif Polenakis
    http://arxiv.org/abs/2111.05802v1

    • [q-bio.PE]Probabilistic predictions of SIS epidemics on networks based on population-level observations
    Tanja Zerenner, Francesco Di Lauro, Masoumeh Dashti, Luc Berthouze, Istvan Z. Kiss
    http://arxiv.org/abs/2111.05369v1

    • [q-bio.PE]The mathematics of contagious diseases and their limitations in forecasting
    C. O. S. Sorzano
    http://arxiv.org/abs/2111.05727v1

    • [quant-ph]Importance of Kernel Bandwidth in Quantum Machine Learning
    Ruslan Shaydulin, Stefan M. Wild
    http://arxiv.org/abs/2111.05451v1

    • [stat.AP]Comparing dominance of tennis’ big three via multiple-output Bayesian quantile regression models
    Bruno Santos
    http://arxiv.org/abs/2111.05631v1

    • [stat.AP]Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets
    Martyn Fyles, Karina-Doris Vihta, Carole H Sudre, Harry Long, Rajenki Das, Caroline Jay, Tom Wingfield, Fergus Cumming, William Green, Pantelis Hadjipantelis, Joni Kirk, Claire J Steves, Sebastien Ourselin, Graham Medley, Elizabeth Fearon, Thomas House
    http://arxiv.org/abs/2111.05728v1

    • [stat.AP]Evaluation of a meta-analysis of the association between red and processed meat and selected human health effects
    S. Stanley Young, Warren Kindzierski
    http://arxiv.org/abs/2111.05337v1

    • [stat.AP]Simulating cloud-aerosol interactions made by ship emissions
    Lekha Patel, Lyndsay Shand
    http://arxiv.org/abs/2111.05356v1

    • [stat.ME]A 今日学术视野(2021.11.12) - 图2-function for inhomogeneous random measures with geometric features
    Anne Marie Svane, Hans Jacob Teglbjærg Stephensen, Rasmus Waagepetersen
    http://arxiv.org/abs/2111.05735v1

    • [stat.ME]Clustering of longitudinal data: A tutorial on a variety of approaches
    Niek Den Teuling, Steffen Pauws, Edwin van den Heuvel
    http://arxiv.org/abs/2111.05469v1

    • [stat.ME]Function-on-function linear quantile regression
    Ufuk Beyaztas, Han Lin Shang
    http://arxiv.org/abs/2111.05374v1

    • [stat.ME]Learning Graphs from Smooth and Graph-Stationary Signals with Hidden Variables
    Andrei Buciulea, Samuel Rey, Antonio G. Marques
    http://arxiv.org/abs/2111.05588v1

    • [stat.ME]Spatial statistics and stochastic partial differential equations: a mechanistic viewpoint
    Lionel Roques, Denis Allard, Samuel Soubeyrand
    http://arxiv.org/abs/2111.05724v1

    • [stat.ME]Tracking multiple spawning targets using Poisson multi-Bernoulli mixtures on sets of tree trajectories
    Ángel F. García-Fernández, Lennart Svensson
    http://arxiv.org/abs/2111.05620v1

    • [stat.ME]variable selection and missing data imputation in categorical genomic data analysis by integrated ridge regression and random forest
    Siru Wang, Guoqi Qian
    http://arxiv.org/abs/2111.05714v1

    • [stat.ML]Graph Matching via Optimal Transport
    Ali Saad-Eldin, Benjamin D. Pedigo, Carey E. Priebe, Joshua T. Vogelstein
    http://arxiv.org/abs/2111.05366v1

    • [stat.ML]Which priors matter? Benchmarking models for learning latent dynamics
    Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
    http://arxiv.org/abs/2111.05458v1