astro-ph.GA - 星系天体物理学
    cond-mat.dis-nn - 无序系统与神经网络
    cs.AI - 人工智能
    cs.CE - 计算工程、 金融和科学
    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.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.DS - 数据结构与算法
    cs.ET - 新兴技术
    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.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    econ.GN - 一般经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SY - 系统和控制
    hep-lat - 高能物理晶格
    math.CO - 组合数学
    math.FA - 泛函演算
    math.GR - 群论
    math.LO - 逻辑演算
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.geo-ph - 地球物理学
    physics.med-ph - 医学物理学
    q-bio.MN - 分子网络
    q-bio.NC - 神经元与认知
    q-bio.QM - 定量方法
    q-fin.PM - 投资组合管理
    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

    • [astro-ph.GA]Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
    • [cond-mat.dis-nn]Statistical physics of exchangeable sparse network ensembles
    • [cond-mat.dis-nn]Statistical properties of large data sets with linear latent features
    • [cs.AI]A space of goals: the cognitive geometry of informationally bounded agents
    • [cs.AI]An Algorithmic Theory of Metacognition in Minds and Machines
    • [cs.AI]Automatic Goal Generation using Dynamical Distance Learning
    • [cs.AI]Consistency and Consensus Driven for Hesitant Fuzzy Linguistic Decision Making with Pairwise Comparisons
    • [cs.AI]Coordinated Proximal Policy Optimization
    • [cs.AI]Development of collective behavior in newborn artificial agents
    • [cs.AI]Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator
    • [cs.AI]Reinforcement Learning for Mixed Autonomy Intersections
    • [cs.AI]Trust-aware Control for Intelligent Transportation Systems
    • [cs.CE]A simple and versatile topology optimization formulation for flexure synthesis
    • [cs.CG]Adaptive area-preserving parameterization of open and closed anatomical surfaces
    • [cs.CL]A Word on Machine Ethics: A Response to Jiang et al. (2021)
    • [cs.CL]AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models
    • [cs.CL]Analyzing Architectures for Neural Machine Translation Using Low Computational Resources
    • [cs.CL]Detecting Depression in Thai Blog Posts: a Dataset and a Baseline
    • [cs.CL]Developing neural machine translation models for Hungarian-English
    • [cs.CL]Distinguishing Commercial from Editorial Content in News
    • [cs.CL]Finnish Dialect Identification: The Effect of Audio and Text
    • [cs.CL]Focusing on Possible Named Entities in Active Named Entity Label Acquisition
    • [cs.CL]How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing
    • [cs.CL]Information Extraction from Visually Rich Documents with Font Style Embeddings
    • [cs.CL]JaMIE: A Pipeline Japanese Medical Information Extraction System
    • [cs.CL]Linguistic Cues of Deception in a Multilingual April Fools’ Day Context
    • [cs.CL]Machine-in-the-Loop Rewriting for Creative Image Captioning
    • [cs.CL]MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
    • [cs.CL]NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
    • [cs.CL]Privacy attacks for automatic speech recognition acoustic models in a federated learning framework
    • [cs.CL]Profitable Trade-Off Between Memory and Performance In Multi-Domain Chatbot Architectures
    • [cs.CL]Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition
    • [cs.CL]Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models
    • [cs.CL]TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
    • [cs.CL]Towards Building ASR Systems for the Next Billion Users
    • [cs.CL]Transformer Based Bengali Chatbot Using General Knowledge Dataset
    • [cs.CL]Variance-Aware Machine Translation Test Sets
    • [cs.CR]Automated Detection of GDPR Disclosure Requirements in Privacy Policies using Deep Active Learning
    • [cs.CR]DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
    • [cs.CR]Get a Model! Model Hijacking Attack Against Machine Learning Models
    • [cs.CR]HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
    • [cs.CR]OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features
    • [cs.CR]threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
    • [cs.CV]3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
    • [cs.CV]A Study of the Human Perception of Synthetic Faces
    • [cs.CV]A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
    • [cs.CV]Action Recognition using Transfer Learning and Majority Voting for CSGO
    • [cs.CV]Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
    • [cs.CV]CALText: Contextual Attention Localization for Offline Handwritten Text
    • [cs.CV]Composition and Style Attributes Guided Image Aesthetic Assessment
    • [cs.CV]Convolutional Gated MLP: Combining Convolutions & gMLP
    • [cs.CV]Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark
    • [cs.CV]Cross-modal Zero-shot Hashing by Label Attributes Embedding
    • [cs.CV]Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
    • [cs.CV]Direct Multi-view Multi-person 3D Pose Estimation
    • [cs.CV]Domain Attention Consistency for Multi-Source Domain Adaptation
    • [cs.CV]Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
    • [cs.CV]GROWL: Group Detection With Link Prediction
    • [cs.CV]Generation of microbial colonies dataset with deep learning style transfer
    • [cs.CV]Generative Dynamic Patch Attack
    • [cs.CV]Geometrically Adaptive Dictionary Attack on Face Recognition
    • [cs.CV]Global-Local Attention for Emotion Recognition
    • [cs.CV]Grassmannian learning mutual subspace method for image set recognition
    • [cs.CV]Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition
    • [cs.CV]Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
    • [cs.CV]Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
    • [cs.CV]Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
    • [cs.CV]Natural Adversarial Objects
    • [cs.CV]NeurInt : Learning to Interpolate through Neural ODEs
    • [cs.CV]Neural Implicit Event Generator for Motion Tracking
    • [cs.CV]Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
    • [cs.CV]Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection
    • [cs.CV]Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization
    • [cs.CV]ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
    • [cs.CV]Registration Techniques for Deformable Objects
    • [cs.CV]Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation
    • [cs.CV]Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing
    • [cs.CV]SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
    • [cs.CV]SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning
    • [cs.CV]Style Transfer with Target Feature Palette and Attention Coloring
    • [cs.CV]Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images
    • [cs.CV]Tensor-based Subspace Factorization for StyleGAN
    • [cs.CV]Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
    • [cs.CV]Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
    • [cs.CV]Towards Debiasing Temporal Sentence Grounding in Video
    • [cs.CV]What augmentations are sensitive to hyper-parameters and why?
    • [cs.CV]Will You Ever Become Popular? Learning to Predict Virality of Dance Clips
    • [cs.CY]”If we didn’t solve small data in the past, how can we solve Big Data today?”
    • [cs.CY]AI and Blackness: Towards moving beyond bias and representation
    • [cs.CY]An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions
    • [cs.CY]Equity and Privacy: More Than Just a Tradeoff
    • [cs.CY]Ethics-Based Auditing of Automated Decision-Making Systems: Intervention Points and Policy Implications
    • [cs.CY]Identifying Best Fair Intervention
    • [cs.CY]Improving Peer Assessment with Graph Convolutional Networks
    • [cs.CY]Mapping Access to Water and Sanitation in Colombia using Publicly Accessible Satellite Imagery, Crowd-sourced Geospatial Information and RandomForests
    • [cs.CY]Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus
    • [cs.CY]Open-Source Internships with Industry Mentors
    • [cs.CY]Proposing an Interactive Audit Pipeline for Visual Privacy Research
    • [cs.DB]Em-K Indexing for Approximate Query Matching in Large-scale ER
    • [cs.DC]BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning
    • [cs.DC]CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms
    • [cs.DC]LMStream: When Distributed Micro-Batch Stream Processing Systems Meet GPU
    • [cs.DC]Sub-realtime simulation of a neuronal network of natural density
    • [cs.DC]Varuna: Scalable, Low-cost Training of Massive Deep Learning Models
    • [cs.DL]FAIR Metadata: A Community-driven Vocabulary Application
    • [cs.DL]Is Coronavirus-Related Research Becoming More Interdisciplinary? A Perspective of Co-occurrence Analysis and Diversity Measure of Scientific Articles
    • [cs.DS]Interactive Error Correcting Codes Over Binary Erasure Channels Resilient to 今日学术视野(2021.11.10) - 图1 Adversarial Corruption
    • [cs.DS]Sampling from Log-Concave Distributions with Infinity-Distance Guarantees and Applications to Differentially Private Optimization
    • [cs.ET]Efficient Neuromorphic Signal Processing with Loihi 2
    • [cs.GR]Neural BRDFs: Representation and Operations
    • [cs.GT]Teamwork makes von Neumann work: Min-Max Optimization in Two-Team Zero-Sum Games
    • [cs.GT]Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality
    • [cs.HC]A Virtual Reality Simulation Pipeline for Online Mental Workload Modeling
    • [cs.HC]Beyond Participation: A Review of Co-Creation in Computing
    • [cs.HC]Can viewer proximity be a behavioural marker for Autism Spectrum Disorder?
    • [cs.HC]NarrationBot and InfoBot: A Hybrid System for Automated Video Description
    • [cs.HC]Open-Set Crowdsourcing using Multiple-Source Transfer Learning
    • [cs.HC]Quadrupedal Robotic Guide Dog with Vocal Human-Robot Interaction
    • [cs.HC]Understanding Barriers and Design Opportunities to Improve Healthcare and QOL for Older Adults through Voice Assistants
    • [cs.HC]VizAI : Selecting Accurate Visualizations of Numerical Data
    • [cs.IR]Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
    • [cs.IT]A Weyl Criterion for Finite-State Dimension
    • [cs.IT]Applications of Convolutional Codes to DNA Codes and Error-Correction
    • [cs.IT]Differential information theory
    • [cs.IT]Extractors: Low Entropy Requirements Colliding With Non-Malleability
    • [cs.IT]Geodesic curves in Gaussian random field manifolds
    • [cs.IT]Higher Order 今日学术视野(2021.11.10) - 图2-Differentials
    • [cs.IT]Intelligent Reflecting Surfaces for Enhanced NOMA-based Visible Light Communications
    • [cs.IT]Joint Optimization of Uplink Power and Computational Resources in Mobile Edge Computing-Enabled Cell-Free Massive MIMO
    • [cs.IT]Non-Binary Polar Coded System for the Two-User Multiple-Access Channel
    • [cs.IT]Resource Allocation in STAR-RIS-Aided Networks: OMA and NOMA
    • [cs.IT]Sequence Reconstruction Problem for Deletion Channels: A Complete Asymptotic Solution
    • [cs.IT]Space-Time Block Coded Spatial Modulation for Indoor Visible Light Communications
    • [cs.IT]Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis
    • [cs.LG]A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
    • [cs.LG]A Deep Reinforcement Learning Approach for Composing Moving IoT Services
    • [cs.LG]A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement
    • [cs.LG]A Probit Tensor Factorization Model For Relational Learning
    • [cs.LG]A Relational Model for One-Shot Classification
    • [cs.LG]A Review of Location Encoding for GeoAI: Methods and Applications
    • [cs.LG]Accelerating GAN training using highly parallel hardware on public cloud
    • [cs.LG]An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing
    • [cs.LG]Approximate Neural Architecture Search via Operation Distribution Learning
    • [cs.LG]Assessing learned features of Deep Learning applied to EEG
    • [cs.LG]Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
    • [cs.LG]BARFED: Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination
    • [cs.LG]Batch Reinforcement Learning from Crowds
    • [cs.LG]Bayesian Framework for Gradient Leakage
    • [cs.LG]Contextual Unsupervised Outlier Detection in Sequences
    • [cs.LG]CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier
    • [cs.LG]Crowdsourcing with Meta-Workers: A New Way to Save the Budget
    • [cs.LG]CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals
    • [cs.LG]DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
    • [cs.LG]DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting
    • [cs.LG]Deep Learning Based Model for Breast Cancer Subtype Classification
    • [cs.LG]Deep Unsupervised Active Learning on Learnable Graphs
    • [cs.LG]Defense Against Explanation Manipulation
    • [cs.LG]Directional Message Passing on Molecular Graphs via Synthetic Coordinates
    • [cs.LG]Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems
    • [cs.LG]Efficiently Learning Any One Hidden Layer ReLU Network From Queries
    • [cs.LG]Estimating High Order Gradients of the Data Distribution by Denoising
    • [cs.LG]Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data
    • [cs.LG]Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
    • [cs.LG]Federated Learning Based on Dynamic Regularization
    • [cs.LG]Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
    • [cs.LG]Group-Aware Threshold Adaptation for Fair Classification
    • [cs.LG]High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling
    • [cs.LG]Improved Regularization and Robustness for Fine-tuning in Neural Networks
    • [cs.LG]Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
    • [cs.LG]Interactive Inverse Reinforcement Learning for Cooperative Games
    • [cs.LG]Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
    • [cs.LG]Learning Context-Aware Representations of Subtrees
    • [cs.LG]Learning to Rectify for Robust Learning with Noisy Labels
    • [cs.LG]MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
    • [cs.LG]Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors
    • [cs.LG]Meta Cross-Modal Hashing on Long-Tailed Data
    • [cs.LG]MetaMIML: Meta Multi-Instance Multi-Label Learning
    • [cs.LG]Mimic: An adaptive algorithm for multivariate time series classification
    • [cs.LG]Nonnegative Tensor Completion via Integer Optimization
    • [cs.LG]Off-policy Imitation Learning from Visual Inputs
    • [cs.LG]On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa
    • [cs.LG]On the Stochastic Stability of Deep Markov Models
    • [cs.LG]Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
    • [cs.LG]Personalized Benchmarking with the Ludwig Benchmarking Toolkit
    • [cs.LG]Physics-Informed Neural Operator for Learning Partial Differential Equations
    • [cs.LG]Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines
    • [cs.LG]Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees
    • [cs.LG]Predictive Model for Gross Community Production Rate of Coral Reefs using Ensemble Learning Methodologies
    • [cs.LG]Quasi-potential theory for escape problem: Quantitative sharpness effect on SGD’s escape from local minima
    • [cs.LG]Revisiting Methods for Finding Influential Examples
    • [cs.LG]Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
    • [cs.LG]S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
    • [cs.LG]SMU: smooth activation function for deep networks using smoothing maximum technique
    • [cs.LG]SOPE: Spectrum of Off-Policy Estimators
    • [cs.LG]Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
    • [cs.LG]Spirometry-based airways disease simulation and recognition using Machine Learning approaches
    • [cs.LG]SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
    • [cs.LG]TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
    • [cs.LG]The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
    • [cs.LG]There is no Double-Descent in Random Forests
    • [cs.LG]Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
    • [cs.LG]Uncertainty Calibration for Ensemble-Based Debiasing Methods
    • [cs.LG]Uncertainty Quantification in Neural Differential Equations
    • [cs.LG]Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis
    • [cs.LG]Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
    • [cs.LG]Universal and data-adaptive algorithms for model selection in linear contextual bandits
    • [cs.LG]Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
    • [cs.LG]d3rlpy: An Offline Deep Reinforcement Learning Library
    • [cs.NE]Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons
    • [cs.NE]IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
    • [cs.NE]Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks
    • [cs.NI]Centralization is about Control, not Protocols (Position Paper)
    • [cs.RO]Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
    • [cs.RO]Ballistic Multibody Estimator for 2D Open Kinematic Chain
    • [cs.RO]CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage
    • [cs.RO]D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation
    • [cs.RO]Feedback Control of Millimeter Scale Pivot Walkers Using Magnetic Actuation
    • [cs.RO]Flying Trapeze Act Motion Planning Algorithm for Two-Link Free-Flying Acrobatic Robot
    • [cs.RO]GSG: A Granary Soft Gripper with Mechanical Force Sensing via 3-Dimensional Snap-Through Structure
    • [cs.RO]Hierarchical Segment-based Optimization for SLAM
    • [cs.RO]Online Adaptation of Monocular Depth Prediction with Visual SLAM
    • [cs.RO]PID Controller Optimization for Low-cost Line Follower Robots
    • [cs.RO]Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach
    • [cs.RO]Robust Deep Reinforcement Learning for Quadcopter Control
    • [cs.RO]Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones
    • [cs.RO]Swarm Control of Magnetically Actuated Millirobots
    • [cs.RO]Towards Learning Generalizable Driving Policies from Restricted Latent Representations
    • [cs.RO]Using Monocular Vision and Human Body Priors for AUVs to Autonomously Approach Divers
    • [cs.RO]V-MAO: Generati
    f9b
    ve Modeling for Multi-Arm Manipulation of Articulated Objects
    • [cs.RO]Wrapped Haptic Display for Communicating Physical Robot Learning
    • [cs.SD]Characterizing the adversarial vulnerability of speech self-supervised learning
    • [cs.SD]Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
    • [cs.SD]SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points
    • [cs.SD]SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines
    • [cs.SD]Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words
    • [cs.SE]Ontology-based question answering over corporate structured data
    • [cs.SI]A Composite Centrality Measure for Improved Identification of Influential Users
    • [cs.SI]Epidemic inference through generative neural networks
    • [cs.SI]ExtremeBB: Enabling Large-Scale Research into Extremism, the Manosphere and Their Correlation by Online Forum Data
    • [cs.SI]Insights Into Incitement: A Computational Perspective on Dangerous Speech on Twitter in India
    • [cs.SI]Measuring Proximity in Attributed Networks for Community Detection
    • [econ.EM]Exponential GARCH-Ito Volatility Models
    • [econ.GN]On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good?
    • [eess.AS]Class Token and Knowledge Distillation for Multi-head Self-Attention Speaker Verification Systems
    • [eess.AS]Learning Filterbanks for End-to-End Acoustic Beamforming
    • [eess.IV]A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers
    • [eess.IV]Acquisition-invariant brain MRI segmentation with informative uncertainties
    • [eess.IV]Artifact- and content-specific quality assessment for MRI with image rulers
    • [eess.IV]Automated pharyngeal phase detection and bolus localization in videofluoroscopic swallowing study: Killing two birds with one stone?
    • [eess.IV]Demystifying Deep Learning Models for Retinal OCT Disease Classification using Explainable AI
    • [eess.IV]Dense Representative Tooth Landmark/axis Detection Network on 3D Model
    • [eess.IV]Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
    • [eess.IV]Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention
    • [eess.IV]Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
    • [eess.IV]Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels
    • [eess.IV]The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker
    • [eess.IV]Triple-level Model Inferred Collaborative Network Architecture for Video Deraining
    • [eess.SY]A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters
    • [eess.SY]Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
    • [eess.SY]Data-driven Set-based Estimation of Polynomial Systems with Application to SIR Epidemics
    • [eess.SY]Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
    • [hep-lat]Lattice gauge symmetry in neural networks
    • [math.CO]Equivalences of biprojective almost perfect nonlinear functions
    • [math.FA]Riesz transform associated with the fractional Fourier transform and applications
    • [math.GR]Anagrammatic quotients of free groups
    • [math.LO]On Homomorphism Graphs
    • [math.NA]Extension of Correspondence Analysis to multiway data-sets through High Order SVD: a geometric framework
    • [math.OC]AGGLIO: Global Optimization for Locally Convex Functions
    • [math.OC]Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization
    • [math.OC]Inertial Newton Algorithms Avoiding Strict Saddle Points
    • [math.OC]Learning equilibria with personalized incentives in a class of nonmonotone games
    • [math.ST]On the Finite-Sample Performance of Measure Transportation-Based Multivariate Rank Tests
    • [math.ST]Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer
    • [math.ST]Parametric and nonparametric probability distribution estimators of sample maximum
    • [math.ST]Smooth tensor estimation with unknown permutations
    • [math.ST]Strong Recovery In Group Synchronization
    • [physics.geo-ph]Machine Learning Guided 3D Image Recognition for Carbonate Pore and Mineral Volumes Determination
    • [physics.med-ph]Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
    • [q-bio.MN]AI challenges for predicting the impact of mutations on protein stability
    • [q-bio.NC]The Global Structure of Codimension-2 Local Bifurcations in Continuous-Time Recurrent Neural Networks
    • [q-bio.QM]Structure-aware generation of drug-like molecules
    • [q-bio.QM]Tradeoffs of Linear Mixed Models in Genome-wide Association Studies
    • [q-fin.PM]Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach
    • [q-fin.PM]Stock Portfolio Optimization Using a Deep Learning LSTM Model
    • [quant-ph]Representation Learning via Quantum Neural Tangent Kernels
    • [stat.AP]A Bayesian Analysis of Migration Pathways using Chain Event Graphs of Agent Based Models
    • [stat.AP]A Non-Markovian Model to Assess Contact Tracing for the Containment of COVID-19
    • [stat.AP]A probabilistic formalization of contextual bias in forensic analysis: Evidence that examiner bias leads to systemic bias in the criminal justice system
    • [stat.AP]Assessing the Uncertainty of Epidemiological Forecasts with Normalised Estimation Error Squared
    • [stat.AP]Bayesian modelling of statistical region- and family-level clustered ordinal outcome data from Turkey
    • [stat.AP]The Role of SARS-CoV-2 Testing on Hospitalizations in California
    • [stat.ME]An Online Sequential Test for Qualitative Treatment Effects
    • [stat.ME]Assessing the effectiveness of empirical calibration under different bias scenarios
    • [stat.ME]Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables
    • [stat.ME]Causal Mediation and Sensitivity Analysis for Mixed-Scale Data
    • [stat.ME]Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules
    • [stat.ME]Empirical Bayes Control of the False Discovery Exceedance
    • [stat.ME]Gene regulatory network in single cells based on the Poisson log-normal model
    • [stat.ME]Is the group structure important in grouped functional time series?
    • [stat.ME]Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects
    • [stat.ME]Metric Distributional Discrepancy in Metric Space
    • [stat.ME]Rate-Optimal Cluster-Randomized Designs for Spatial Interference
    • [stat.ME]The Ball Pit Algorithm: A Markov Chain Monte Carlo Method Based on Path Integrals
    • [stat.ME]The How and Why of Bayesian Nonparametric Causal Inference
    • [stat.ME]The Weighted Generalised Covariance Measure
    • [stat.ME]Transformed-linear prediction for extremes
    • [stat.ML]A Private and Computationally-Efficient Estimator for Unbounded Gaussians
    • [stat.ML]Clustering and Structural Robustness in Causal Diagrams
    • [stat.ML]Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models
    • [stat.ML]Deep Neyman-Scott Processes
    • [stat.ML]Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
    • [stat.ML]Neyman-Pearson Multi-class Classification via Cost-sensitive Learning

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

    • [astro-ph.GA]Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
    Inigo V. Slijepcevic, Anna M. M. Scaife
    http://arxiv.org/abs/2111.04357v1

    • [cond-mat.dis-nn]Statistical physics of exchangeable sparse network ensembles
    Ginestra Bianconi
    http://arxiv.org/abs/2111.04084v1

    • [cond-mat.dis-nn]Statistical properties of large data sets with linear latent features
    Philipp Fleig, Ilya Nemenman
    http://arxiv.org/abs/2111.04641v1

    • [cs.AI]A space of goals: the cognitive geometry of informationally bounded agents
    Karen Archer, Nicola Catenacci Volpi, Franziska Bröker, Daniel Polani
    http://arxiv.org/abs/2111.03699v1

    • [cs.AI]An Algorithmic Theory of Metacognition in Minds and Machines
    Rylan Schaeffer
    http://arxiv.org/abs/2111.03745v1

    • [cs.AI]Automatic Goal Generation using Dynamical Distance Learning
    Bharat Prakash, Nicholas Waytowich, Tinoosh Mohsenin, Tim Oates
    http://arxiv.org/abs/2111.04120v1

    • [cs.AI]Consistency and Consensus Driven for Hesitant Fuzzy Linguistic Decision Making with Pairwise Comparisons
    Peijia Ren, Zixu Liu, Wei-Guo Zhang, Xilan Wu
    http://arxiv.org/abs/2111.04092v1

    • [cs.AI]Coordinated Proximal Policy Optimization
    Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
    http://arxiv.org/abs/2111.04051v1

    • [cs.AI]Development of collective behavior in newborn artificial agents
    Donsuk Lee, Samantha M. W. Wood, Justin N. Wood
    http://arxiv.org/abs/2111.03796v1

    • [cs.AI]Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator
    Homer Walke, Daniel Ritter, Carl Trimbach, Michael Littman
    http://arxiv.org/abs/2111.04147v1

    • [cs.AI]Reinforcement Learning for Mixed Autonomy Intersections
    Zhongxia Yan, Cathy Wu
    http://arxiv.org/abs/2111.04686v1

    • [cs.AI]Trust-aware Control for Intelligent Transportation Systems
    Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
    http://arxiv.org/abs/2111.04248v1

    • [cs.CE]A simple and versatile topology optimization formulation for flexure synthesis
    Stijn Koppen, Matthijs Langelaar, Fred van Keulen
    http://arxiv.org/abs/2111.04620v1

    • [cs.CG]Adaptive area-preserving parameterization of open and closed anatomical surfaces
    Gary P. T. Choi, Amita Giri, Lalan Kumar
    http://arxiv.org/abs/2111.04265v1

    • [cs.CL]A Word on Machine Ethics: A Response to Jiang et al. (2021)
    Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams
    http://arxiv.org/abs/2111.04158v1

    • [cs.CL]AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models
    Angel Felipe Magnossão de Paula, Ipek Baris Schlicht
    http://arxiv.org/abs/2111.04530v1

    • [cs.CL]Analyzing Architectures for Neural Machine Translation Using Low Computational Resources
    Aditya Mandke, Onkar Litake, Dipali Kadam
    http://arxiv.org/abs/2111.03813v1

    • [cs.CL]Detecting Depression in Thai Blog Posts: a Dataset and a Baseline
    Mika Hämäläinen, Pattama Patpong, Khalid Alnajjar, Niko Partanen, Jack Rueter
    http://arxiv.org/abs/2111.04574v1

    • [cs.CL]Developing neural machine translation models for Hungarian-English
    Attila Nagy
    http://arxiv.org/abs/2111.04099v1

    • [cs.CL]Distinguishing Commercial from Editorial Content in News
    Timo Kats, Peter van der Putten, Jasper Schelling
    http://arxiv.org/abs/2111.03916v1

    • [cs.CL]Finnish Dialect Identification: The Effect of Audio and Text
    Mika Hämäläinen, Khalid Alnajjar, Niko Partanen, Jack Rueter
    http://arxiv.org/abs/2111.03800v1

    • [cs.CL]Focusing on Possible Named Entities in Active Named Entity Label Acquisition
    Ali Osman Berk Sapci, Oznur Tastan, Reyyan Yeniterzi
    http://arxiv.org/abs/2111.03837v1

    • [cs.CL]How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing
    Barriere Valentin, Jacquet Guillaume
    http://arxiv.org/abs/2111.04052v1

    • [cs.CL]Information Extraction from Visually Rich Documents with Font Style Embeddings
    Ismail Oussaid, William Vanhuffel, Pirashanth Ratnamogan, Mhamed Hajaiej, Alexis Mathey, Thomas Gilles
    http://arxiv.org/abs/2111.04045v1

    • [cs.CL]JaMIE: A Pipeline Japanese Medical Information Extraction System
    Fei Cheng, Shuntaro Yada, Ribeka Tanaka, Eiji Aramaki, Sadao Kurohashi
    http://arxiv.org/abs/2111.04261v1

    • [cs.CL]Linguistic Cues of Deception in a Multilingual April Fools’ Day Context
    Katerina Papantoniou, Panagiotis Papadakos, Giorgos Flouris, Dimitris Plexousakis
    http://arxiv.org/abs/2111.03913v1

    • [cs.CL]Machine-in-the-Loop Rewriting for Creative Image Captioning
    Vishakh Padmakumar, He He
    http://arxiv.org/abs/2111.04193v1

    • [cs.CL]MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
    Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
    http://arxiv.org/abs/2111.04022v1

    • [cs.CL]NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
    Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang
    http://arxiv.org/abs/2111.04130v1

    • [cs.CL]Privacy attacks for automatic speech recognition acoustic models in a federated learning framework
    Natalia Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre
    http://arxiv.org/abs/2111.03777v1

    • [cs.CL]Profitable Trade-Off Between Memory and Performance In Multi-Domain Chatbot Architectures
    D Emre Tasar, Sukru Ozan, M Fatih Akca, Oguzhan Olmez, Semih Gulum, Secilay Kutay, Ceren Belhan
    http://arxiv.org/abs/2111.03963v1

    • [cs.CL]Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition
    Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia Tomashenko, Yannick Estève
    http://arxiv.org/abs/2111.04194v1

    • [cs.CL]Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models
    Angel Felipe Magnossão de Paula, Roberto Fray da Silva, Ipek Baris Schlicht
    http://arxiv.org/abs/2111.04551v1

    • [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/2111.04198v1

    • [cs.CL]Towards Building ASR Systems for the Next Billion Users
    Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
    http://arxiv.org/abs/2111.03945v1

    • [cs.CL]Transformer Based Bengali Chatbot Using General Knowledge Dataset
    Abu Kaisar Mohammad Masum, Sheikh Abujar, Sharmin Akter, Nushrat Jahan Ria, Syed Akhter Hossain
    http://arxiv.org/abs/2111.03937v1

    • [cs.CL]Variance-Aware Machine Translation Test Sets
    Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
    http://arxiv.org/abs/2111.04079v1

    • [cs.CR]Automated Detection of GDPR Disclosure Requirements in Privacy Policies using Deep Active Learning
    Tamjid Al Rahat, Tu Le, Yuan Tian
    http://arxiv.org/abs/2111.04224v1

    • [cs.CR]DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
    Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
    http://arxiv.org/abs/2111.04625v1

    • [cs.CR]Get a Model! Model Hijacking Attack Against Machine Learning Models
    Ahmed Salem, Michael Backes, Yang Zhang
    http://arxiv.org/abs/2111.04394v1

    • [cs.CR]HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
    Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
    http://arxiv.org/abs/2111.04703v1

    • [cs.CR]OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features
    Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
    http://arxiv.org/abs/2111.04710v1

    • [cs.CR]threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
    Su Wang, Zhiliang Wang, Tao Zhou, Xia Yin, Dongqi Han, Han Zhang, Hongbin Sun, Xingang Shi, Jiahai Yang
    http://arxiv.org/abs/2111.04333v1

    • [cs.CV]3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
    Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie, Jian Yang
    http://arxiv.org/abs/2111.04426v1

    • [cs.CV]A Study of the Human Perception of Synthetic Faces
    Bingyu Shen, Brandon RichardWebster, Alice O’Toole, Kevin Bowyer, Walter J. Scheirer
    http://arxiv.org/abs/2111.04230v1

    • [cs.CV]A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
    Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C. -C. Jay Kuo
    http://arxiv.org/abs/2111.04012v1

    • [cs.CV]Action Recognition using Transfer Learning and Majority Voting for CSGO
    Tasnim Sakib Apon, Abrar Islam, MD. Golam Rabiul Alam
    http://arxiv.org/abs/2111.03882v1

    • [cs.CV]Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
    Ruiyang Liu, Yinghui Li, Dun Liang, Linmi Tao, Shimin Hu, Hai-Tao Zheng
    http://arxiv.org/abs/2111.04060v1

    • [cs.CV]CALText: Contextual Attention Localization for Offline Handwritten Text
    Tayaba Anjum, Nazar Khan
    http://arxiv.org/abs/2111.03952v1

    • [cs.CV]Composition and Style Attributes Guided Image Aesthetic Assessment
    Luigi Celona, Marco Leonardi, Paolo Napoletano, Alessandro Rozza
    http://arxiv.org/abs/2111.04647v1

    • [cs.CV]Convolutional Gated MLP: Combining Convolutions & gMLP
    A. Rajagopal, V. Nirmala
    http://arxiv.org/abs/2111.03940v1

    • [cs.CV]Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark
    Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si Zilin Fan, Sulan Zhai
    http://arxiv.org/abs/2111.04264v1

    • [cs.CV]Cross-modal Zero-shot Hashing by Label Attributes Embedding
    Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
    http://arxiv.org/abs/2111.04080v1

    • [cs.CV]Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
    Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler
    http://arxiv.org/abs/2111.04276v1

    • [cs.CV]Direct Multi-view Multi-person 3D Pose Estimation
    Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng
    http://arxiv.org/abs/2111.04076v1

    • [cs.CV]Domain Attention Consistency for Multi-Source Domain Adaptation
    Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
    http://arxiv.org/abs/2111.03911v1

    • [cs.CV]Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
    Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang
    http://arxiv.org/abs/2111.04331v1

    • [cs.CV]GROWL: Group Detection With Link Prediction
    Viktor Schmuck, Oya Celiktutan
    http://arxiv.org/abs/2111.04397v1

    • [cs.CV]Generation of microbial colonies dataset with deep learning style transfer
    Jarosław Pawłowski, Sylwia Majchrowska, Tomasz Golan
    http://arxiv.org/abs/2111.03789v1

    • [cs.CV]Generative Dynamic Patch Attack
    Xiang Li, Shihao Ji
    http://arxiv.org/abs/2111.04266v1

    • [cs.CV]Geometrically Adaptive Dictionary Attack on Face Recognition
    Junyoung Byun, Hyojun Go, Changick Kim
    http://arxiv.org/abs/2111.04371v1

    • [cs.CV]Global-Local Attention for Emotion Recognition
    Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le
    http://arxiv.org/abs/2111.04129v1

    • [cs.CV]Grassmannian learning mutual subspace method for image set recognition
    Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui
    http://arxiv.org/abs/2111.04352v1

    • [cs.CV]Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition
    Jiazhi Li, Wael Abd-Almageed
    http://arxiv.org/abs/2111.04673v1

    • [cs.CV]Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
    Thomas Fel, Remi Cadene, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
    http://arxiv.org/abs/2111.04138v1

    • [cs.CV]Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
    Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, Nanning Zheng
    http://arxiv.org/abs/2111.03993v1

    • [cs.CV]Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
    Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
    http://arxiv.org/abs/2111.03845v1

    • [cs.CV]Natural Adversarial Objects
    Felix Lau, Nishant Subramani, Sasha Harrison, Aerin Kim, Elliot Branson, Rosanne Liu
    http://arxiv.org/abs/2111.04204v1

    • [cs.CV]NeurInt : Learning to Interpolate through Neural ODEs
    Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai
    http://arxiv.org/abs/2111.04123v1

    • [cs.CV]Neural Implicit Event Generator for Motion Tracking
    Mana Masuda, Yusuke Sekikawa, Ryo Fujii, Hideo Saito
    http://arxiv.org/abs/2111.03824v1

    • [cs.CV]Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
    Shanyan Guan, Jingwei Xu, Michelle Z. He, Yunbo Wang, Bingbing Ni, Xiaokang Yang
    http://arxiv.org/abs/2111.04017v1

    • [cs.CV]Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection
    Meiling Fang, Fadi Boutros, Arjan Kuijper, Naser Damer
    http://arxiv.org/abs/2111.04336v1

    • [cs.CV]Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization
    Lei Sun
    http://arxiv.org/abs/2111.04228v1

    • [cs.CV]ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
    Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale
    http://arxiv.org/abs/2111.03821v1

    • [cs.CV]Registration Techniques for Deformable Objects
    Alireza Ahmadi
    http://arxiv.org/abs/2111.04053v1

    • [cs.CV]Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation
    Byeongjun Park, Taekyung Kim, Hyojun Go, Changick Kim
    http://arxiv.org/abs/2111.04310v1

    • [cs.CV]Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing
    Masayuki Yamazaki, Eigo Mori
    http://arxiv.org/abs/2111.04226v1

    • [cs.CV]SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
    Fengyuan Yang, Ruiping Wang, Xilin Chen
    http://arxiv.org/abs/2111.04316v1

    • [cs.CV]SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning
    Ali Syed Saqlain, Li-Yun Wang, Fang Fang
    http://arxiv.org/abs/2111.04026v1

    • [cs.CV]Style Transfer with Target Feature Palette and Attention Coloring
    Suhyeon Ha, Guisik Kim, Junseok Kwon
    http://arxiv.org/abs/2111.04028v1

    • [cs.CV]Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images
    Jianfei Guo, Zhiyuan Yang, Xi Lin, Qingfu Zhang
    http://arxiv.org/abs/2111.04237v1

    • [cs.CV]Tensor-based Subspace Factorization for StyleGAN
    René Haas, Stella Graßhof, Sami Sebastian Brandt
    http://arxiv.org/abs/2111.04554v1

    • [cs.CV]Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
    Renrui Zhang, Rongyao Fang, Peng Gao, Wei Zhang, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li
    http://arxiv.org/abs/2111.03930v1

    • [cs.CV]Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
    Zhengzhuo Xu, Zenghao Chai, Chun Yuan
    http://arxiv.org/abs/2111.03874v1

    • [cs.CV]Towards Debiasing Temporal Sentence Grounding in Video
    Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou
    http://arxiv.org/abs/2111.04321v1

    • [cs.CV]What augmentations are sensitive to hyper-parameters and why?
    Ch Muhammad Awais, Imad Eddine Ibrahim Bekkouch
    http://arxiv.org/abs/2111.03861v1

    • [cs.CV]Will You Ever Become Popular? Learning to Predict Virality of Dance Clips
    Jiahao Wang, Yunhong Wang, Nina Weng, Tianrui Chai, Annan Li, Faxi Zhang, Sansi Yu
    http://arxiv.org/abs/2111.03819v1

    • [cs.CY]“If we didn’t solve small data in the past, how can we solve Big Data today?”
    Akash Ravi
    http://arxiv.org/abs/2111.04442v1

    • [cs.CY]AI and Blackness: Towards moving beyond bias and representation
    Christopher L. Dancy, P. Khalil Saucier
    http://arxiv.org/abs/2111.03687v1

    • [cs.CY]An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions
    Nirmalya Thakur, Chia Y. Han
    http://arxiv.org/abs/2111.04476v1

    • [cs.CY]Equity and Privacy: More Than Just a Tradeoff
    David Pujol, Ashwin Machanavajjhala
    http://arxiv.org/abs/2111.04671v1

    • [cs.CY]Ethics-Based Auditing of Automated Decision-Making Systems: Intervention Points and Policy Implications
    Jakob Mokander, Maria Axente
    http://arxiv.org/abs/2111.04380v1

    • [cs.CY]Identifying Best Fair Intervention
    Ruijiang Gao, Han Feng
    http://arxiv.org/abs/2111.04272v1

    • [cs.CY]Improving Peer Assessment with Graph Convolutional Networks
    Alireza A. Namanloo, Julie Thorpe, Amirali Salehi-Abari
    http://arxiv.org/abs/2111.04466v1

    • [cs.CY]Mapping Access to Water and Sanitation in Colombia using Publicly Accessible Satellite Imagery, Crowd-sourced Geospatial Information and RandomForests
    Niccolo Dejito, Ren Avell Flores, Rodolfo de Guzman, Isabelle Tingzon, Liliana Carvajal, Alberto Aroca, Carlos Delgado
    http://arxiv.org/abs/2111.04134v1

    • [cs.CY]Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus
    Thanchanok Sutjarittham
    http://arxiv.org/abs/2111.04085v1

    • [cs.CY]Open-Source Internships with Industry Mentors
    Tyler Menezes, Alex Parra, Mingjie Jiang
    http://arxiv.org/abs/2111.04414v1

    • [cs.CY]Proposing an Interactive Audit Pipeline for Visual Privacy Research
    Jasmine DeHart, Chenguang Xu, Lisa Egede, Christan Grant
    http://arxiv.org/abs/2111.03984v1

    • [cs.DB]Em-K Indexing for Approximate Query Matching in Large-scale ER
    Samudra Herath, Matthew Roughan, Gary Glonek
    http://arxiv.org/abs/2111.04070v1

    • [cs.DC]BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning
    Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin
    http://arxiv.org/abs/2111.04287v1

    • [cs.DC]CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms
    Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke
    http://arxiv.org/abs/2111.03753v1

    • [cs.DC]LMStream: When Distributed Micro-Batch Stream Processing Systems Meet GPU
    Suyeon Lee, Sungyong Park
    http://arxiv.org/abs/2111.04289v1

    • [cs.DC]Sub-realtime simulation of a neuronal network of natural density
    Anno C. Ku
    8000
    rth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann
    http://arxiv.org/abs/2111.04398v1

    • [cs.DC]Varuna: Scalable, Low-cost Training of Massive Deep Learning Models
    Sanjith Athlur, Nitika Saran, Muthian Sivathanu, Ramachandran Ramjee, Nipun Kwatra
    http://arxiv.org/abs/2111.04007v1

    • [cs.DL]FAIR Metadata: A Community-driven Vocabulary Application
    Christopher B. Rauch, Mat Kelly, John A. Kunze, Jane Greenberg
    http://arxiv.org/abs/2111.03910v1

    • [cs.DL]Is Coronavirus-Related Research Becoming More Interdisciplinary? A Perspective of Co-occurrence Analysis and Diversity Measure of Scientific Articles
    Yi Zhao, Lifan Liu, Chengzhi Zhang
    http://arxiv.org/abs/2111.04344v1

    • [cs.DS]Interactive Error Correcting Codes Over Binary Erasure Channels Resilient to 今日学术视野(2021.11.10) - 图3 Adversarial Corruption
    Meghal Gupta, Yael Tauman Kalai, Rachel Zhang
    http://arxiv.org/abs/2111.04181v1

    • [cs.DS]Sampling from Log-Concave Distributions with Infinity-Distance Guarantees and Applications to Differentially Private Optimization
    Oren Mangoubi, Nisheeth K. Vishnoi
    http://arxiv.org/abs/2111.04089v1

    • [cs.ET]Efficient Neuromorphic Signal Processing with Loihi 2
    Garrick Orchard, E. Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
    http://arxiv.org/abs/2111.03746v1

    • [cs.GR]Neural BRDFs: Representation and Operations
    Jiahui Fan, Beibei Wang, Miloš Hašan, Jian Yang, Ling-Qi Yan
    http://arxiv.org/abs/2111.03797v1

    • [cs.GT]Teamwork makes von Neumann work: Min-Max Optimization in Two-Team Zero-Sum Games
    Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ioannis Panageas
    http://arxiv.org/abs/2111.04178v1

    • [cs.GT]Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality
    Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Chunyan Miao, Dong In Kim
    http://arxiv.org/abs/2111.03776v1

    • [cs.HC]A Virtual Reality Simulation Pipeline for Online Mental Workload Modeling
    Robert L. Wilson, Daniel Browne, Jonathan Wagstaff, Steve McGuire
    http://arxiv.org/abs/2111.03977v1

    • [cs.HC]Beyond Participation: A Review of Co-Creation in Computing
    Juliane Jarke, Gabriela Molina León, Irina Zakharova, Hendrik Heuer, Ulrike Gerhard
    http://arxiv.org/abs/2111.04524v1

    • [cs.HC]Can viewer proximity be a behavioural marker for Autism Spectrum Disorder?
    Rahul Bishain, Sharat Chandran
    http://arxiv.org/abs/2111.04064v1

    • [cs.HC]NarrationBot and InfoBot: A Hybrid System for Automated Video Description
    Shasta Ihorn, Yue-Ting Siu, Aditya Bodi, Lothar Narins, Jose M. Castanon, Yash Kant, Abhishek Das, Ilmi Yoon, Pooyan Fazli
    http://arxiv.org/abs/2111.03994v1

    • [cs.HC]Open-Set Crowdsourcing using Multiple-Source Transfer Learning
    Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
    http://arxiv.org/abs/2111.04073v1

    • [cs.HC]Quadrupedal Robotic Guide Dog with Vocal Human-Robot Interaction
    Kavan Mehrizi, Zhongyu Li, Koushil Sreenath
    http://arxiv.org/abs/2111.03718v1

    • [cs.HC]Understanding Barriers and Design Opportunities to Improve Healthcare and QOL for Older Adults through Voice Assistants
    Chen Chen, Janet G. Johnson, Kemeberly Charles, Alice Lee, Ella T. Lifset, Michael Hogarth, Alison A. Moore, Emilia Farcas, Nadir Weibel
    http://arxiv.org/abs/2111.03756v1

    • [cs.HC]VizAI : Selecting Accurate Visualizations of Numerical Data
    Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar, Srikanta Bedathur
    http://arxiv.org/abs/2111.04190v1

    • [cs.IR]Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
    Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
    http://arxiv.org/abs/2111.04282v1

    • [cs.IT]A Weyl Criterion for Finite-State Dimension
    Jack H. Lutz, Satyadev Nandakumar, Subin Pulari
    http://arxiv.org/abs/2111.04030v1

    • [cs.IT]Applications of Convolutional Codes to DNA Codes and Error-Correction
    Paridhi Latawa, Nuh Aydin
    http://arxiv.org/abs/2111.04133v1

    • [cs.IT]Differential information theory
    Pieter Adriaans
    http://arxiv.org/abs/2111.04335v1

    • [cs.IT]Extractors: Low Entropy Requirements Colliding With Non-Malleability
    Eldon Chung, Maciej Obremski, Divesh Aggarwal
    http://arxiv.org/abs/2111.04157v1

    • [cs.IT]Geodesic curves in Gaussian random field manifolds
    Alexandre L. M. Levada
    http://arxiv.org/abs/2111.03905v1

    • [cs.IT]Higher Order 今日学术视野(2021.11.10) - 图4-Differentials
    Aaron Geary, Marco Calderini, Constanza Riera, Pantelimon Stanica
    http://arxiv.org/abs/2111.04661v1

    • [cs.IT]Intelligent Reflecting Surfaces for Enhanced NOMA-based Visible Light Communications
    Hanaa Abumarshoud, Bassant Selim, Mallik Tatipamula, Harald Haas
    http://arxiv.org/abs/2111.04646v1

    • [cs.IT]Joint Optimization of Uplink Power and Computational Resources in Mobile Edge Computing-Enabled Cell-Free Massive MIMO
    Giovanni Interdonato, Stefano Buzzi
    http://arxiv.org/abs/2111.04678v1

    • [cs.IT]Non-Binary Polar Coded System for the Two-User Multiple-Access Channel
    Guan-Chen Liu, Qi-Yue Yu
    http://arxiv.org/abs/2111.03839v1

    • [cs.IT]Resource Allocation in STAR-RIS-Aided Networks: OMA and NOMA
    Chenyu Wu, Xidong Mu, Yuanwei Liu, Xuemai Gu, Xianbin Wang
    http://arxiv.org/abs/2111.03883v1

    • [cs.IT]Sequence Reconstruction Problem for Deletion Channels: A Complete Asymptotic Solution
    Van Long Phuoc Pham, Keshav Goyal, Han Mao Kiah
    http://arxiv.org/abs/2111.04255v1

    • [cs.IT]Space-Time Block Coded Spatial Modulation for Indoor Visible Light Communications
    Shimaa Naser, Lina Bariah, Sami Muhaidat, Mahmoud Al-Qutayri, Murat Uysal, Paschalis C. Sofotasios
    http://arxiv.org/abs/2111.03928v1

    • [cs.IT]Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis
    Chong Han, Yiqin Wang, Yuanbo Li, Yi Chen, Naveed A. Abbasi, Thomas Kürner, Andreas F. Molisch
    http://arxiv.org/abs/2111.04522v1

    • [cs.LG]A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
    Ezra Fielding, Clement N. Nyirenda, Mattia Vaccari
    http://arxiv.org/abs/2111.04353v1

    • [cs.LG]A Deep Reinforcement Learning Approach for Composing Moving IoT Services
    Azadeh Ghari Neiat, Athman Bouguettaya, Mohammed Bahutair
    http://arxiv.org/abs/2111.03967v1

    • [cs.LG]A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement
    Arbind Agrahari Baniya, Sunil Aryal, Santosh KC
    http://arxiv.org/abs/2111.04253v1

    • [cs.LG]A Probit Tensor Factorization Model For Relational Learning
    Ye Liu, Rui Song, Wenbin Lu
    http://arxiv.org/abs/2111.03943v1

    • [cs.LG]A Relational Model for One-Shot Classification
    Arturs Polis, Alexander Ilin
    http://arxiv.org/abs/2111.04313v1

    • [cs.LG]A Review of Location Encoding for GeoAI: Methods and Applications
    Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao
    http://arxiv.org/abs/2111.04006v1

    • [cs.LG]Accelerating GAN training using highly parallel hardware on public cloud
    Renato Cardoso, Dejan Golubovic, Ignacio Peluaga Lozada, Ricardo Rocha, João Fernandes, Sofia Vallecorsa
    http://arxiv.org/abs/2111.04628v1

    • [cs.LG]An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing
    Xinyi Ding, Tao Han, Yili Fang, Eric Larson
    http://arxiv.org/abs/2111.04497v1

    • [cs.LG]Approximate Neural Architecture Search via Operation Distribution Learning
    Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio M. Carlucci
    http://arxiv.org/abs/2111.04670v1

    • [cs.LG]Assessing learned features of Deep Learning applied to EEG
    Dung Truong, Scott Makeig, Arnaud Delorme
    http://arxiv.org/abs/2111.04309v1

    • [cs.LG]Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
    Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun
    http://arxiv.org/abs/2111.04318v1

    • [cs.LG]BARFED: Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination
    Ece Isik-Polat, Gorkem Polat, Altan Kocyigit
    http://arxiv.org/abs/2111.04550v1

    • [cs.LG]Batch Reinforcement Learning from Crowds
    Guoxi Zhang, Hisashi Kashima
    http://arxiv.org/abs/2111.04279v1

    • [cs.LG]Bayesian Framework for Gradient Leakage
    Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev
    http://arxiv.org/abs/2111.04706v1

    • [cs.LG]Contextual Unsupervised Outlier Detection in Sequences
    Mohamed A. Zahran, Leonardo Teixeira, Vinayak Rao, Bruno Ribeiro
    http://arxiv.org/abs/2111.03808v1

    • [cs.LG]CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier
    Shibo Zhang, Ebrahim Nemati, Minh Dinh, Nathan Folkman, Tousif Ahmed, Mahbubur Rahman, Jilong Kuang, Nabil Alshurafa, Alex Gao
    http://arxiv.org/abs/2111.04185v1

    • [cs.LG]Crowdsourcing with Meta-Workers: A New Way to Save the Budget
    Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
    http://arxiv.org/abs/2111.04068v1

    • [cs.LG]CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals
    Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham
    http://arxiv.org/abs/2111.03976v1

    • [cs.LG]DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
    Mohsen Ahmadi, Ali Taghavirashidizadeh, Danial Javaheri, Armin Masoumian, Saeid Jafarzadeh Ghoushchi, Yaghoub Pourasad
    http://arxiv.org/abs/2111.04105v1

    • [cs.LG]DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting
    Tianxiang Zhan, Yuanpeng He, Hanwen Li, Fuyuan Xiao
    http://arxiv.org/abs/2111.04071v1

    • [cs.LG]Deep Learning Based Model for Breast Cancer Subtype Classification
    Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar
    http://arxiv.org/abs/2111.03923v1

    • [cs.LG]Deep Unsupervised Active Learning on Learnable Graphs
    Handong Ma, Changsheng Li, Xinchu Shi, Ye Yuan, Guoren Wang
    http://arxiv.org/abs/2111.04286v1

    • [cs.LG]Defense Against Explanation Manipulation
    Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
    http://arxiv.org/abs/2111.04303v1

    • [cs.LG]Directional Message Passing on Molecular Graphs via Synthetic Coordinates
    Johannes Klicpera, Chandan Yeshwanth, Stephan Günnemann
    http://arxiv.org/abs/2111.04718v1

    • [cs.LG]Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems
    Yuwei Luo, Varun Gupta, Mladen Kolar
    http://arxiv.org/abs/2111.03772v1

    • [cs.LG]Efficiently Learning Any One Hidden Layer ReLU Network From Queries
    Sitan Chen, Adam R Klivans, Raghu Meka
    http://arxiv.org/abs/2111.04727v1

    • [cs.LG]Estimating High Order Gradients of the Data Distribution by Denoising
    Chenlin Meng, Yang Song, Wenzhe Li, Stefano Ermon
    http://arxiv.org/abs/2111.04726v1

    • [cs.LG]Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data
    Kumud Lakara, Akshat Bhandari, Pratinav Seth, Ujjwal Verma
    http://arxiv.org/abs/2111.04665v1

    • [cs.LG]Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
    Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang
    http://arxiv.org/abs/2111.03947v1

    • [cs.LG]Federated Learning Based on Dynamic Regularization
    Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
    http://arxiv.org/abs/2111.04263v1

    • [cs.LG]Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
    Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang
    http://arxiv.org/abs/2111.04314v1

    • [cs.LG]Group-Aware Threshold Adaptation for Fair Classification
    Taeuk Jang, Pengyi Shi, Xiaoqian Wang
    http://arxiv.org/abs/2111.04271v1

    • [cs.LG]High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling
    Samudra Herath, Matthew Roughan, Gary Glonek
    http://arxiv.org/abs/2111.04067v1

    • [cs.LG]Improved Regularization and Robustness for Fine-tuning in Neural Networks
    Dongyue Li, Hongyang R. Zhang
    http://arxiv.org/abs/2111.04578v1

    • [cs.LG]Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
    Matthew Nokleby, Ahmad Beirami
    http://arxiv.org/abs/2111.04579v1

    • [cs.LG]Interactive Inverse Reinforcement Learning for Cooperative Games
    Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis
    http://arxiv.org/abs/2111.04698v1

    • [cs.LG]Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
    Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
    http://arxiv.org/abs/2111.04095v1

    • [cs.LG]Learning Context-Aware Representations of Subtrees
    Cedric Cook
    http://arxiv.org/abs/2111.04308v1

    • [cs.LG]Learning to Rectify for Robust Learning with Noisy Labels
    Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin
    http://arxiv.org/abs/2111.04239v1

    • [cs.LG]MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
    Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
    http://arxiv.org/abs/2111.03759v1

    • [cs.LG]Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors
    Mehran Abbasi Shirsavar, Mehrnoosh Taghavimehr, Lionel J. Ouedraogo, Mojan Javaheripi, Nicole N. Hashemi, Farinaz Koushanfar, Reza Montazami
    http://arxiv.org/abs/2111.03985v1

    • [cs.LG]Meta Cross-Modal Hashing on Long-Tailed Data
    Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
    http://arxiv.org/abs/2111.04086v1

    • [cs.LG]MetaMIML: Meta Multi-Instance Multi-Label Learning
    Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo
    http://arxiv.org/abs/2111.04112v1

    • [cs.LG]Mimic: An adaptive algorithm for multivariate time series classification
    Yuhui Wang, Diane J. Cook
    http://arxiv.org/abs/2111.04273v1

    • [cs.LG]Nonnegative Tensor Completion via Integer Optimization
    Caleb Bugg, Chen Chen, Anil Aswani
    http://arxiv.org/abs/2111.04580v1

    • [cs.LG]Off-policy Imitation Learning from Visual Inputs
    Zhihao Cheng, Li Shen, Dacheng Tao
    http://arxiv.org/abs/2111.04345v1

    • [cs.LG]On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa
    Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel, Sella Nevo, Arnu Pretorius
    http://arxiv.org/abs/2111.03904v1

    • [cs.LG]On the Stochastic Stability of Deep Markov Models
    Ján Drgoňa, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
    http://arxiv.org/abs/2111.04601v1

    • [cs.LG]Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
    Shubham Gupta, Aadirupa Saha
    http://arxiv.org/abs/2111.03917v1

    • [cs.LG]Personalized Benchmarking with the Ludwig Benchmarking Toolkit
    Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
    http://arxiv.org/abs/2111.04260v1

    • [cs.LG]Physics-Informed Neural Operator for Learning Partial Differential Equations
    Zongyi Li, Hongkai Zheng, Nikola Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar
    http://arxiv.org/abs/2111.03794v1

    • [cs.LG]Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines
    Michael Kuchnik, Ana Klimovic, Jiri Simsa, George Amvrosiadis, Virginia Smith
    http://arxiv.org/abs/2111.04131v1

    • [cs.LG]Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees
    Guy Wolf, Gil Shabat, Hanan Shteingart
    http://arxiv.org/abs/2111.04033v1

    • [cs.LG]Predictive Model for Gross Community Production Rate of Coral Reefs using Ensemble Learning Methodologies
    Umanandini S, Aouthithiye Barathwaj SR Y, Jasline Augusta J, Shrirang Sapate, Reenasree S, Vigneash M
    http://arxiv.org/abs/2111.04003v1

    • [cs.LG]Quasi-potential theory for escape problem: Quantitative sharpness effect on SGD’s escape from local minima
    Hikaru Ibayashi, Masaaki Imaizumi
    http://arxiv.org/abs/2111.04004v1

    • [cs.LG]Revisiting Methods for Finding Influential Examples
    Karthikeyan K, Anders Søgaard
    http://arxiv.org/abs/2111.04683v1

    • [cs.LG]Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
    Lijia Yu, Xiao-Shan Gao
    http://arxiv.org/abs/2111.04404v1

    • [cs.LG]S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
    Chulin Wang, Kyongmin Yeo, Xiao Jin, Andres Codas, Levente J. Klein, Bruce Elmegreen
    http://arxiv.org/abs/2111.04639v1

    • [cs.LG]SMU: smooth activation function for deep networks using smoothing maximum technique
    Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
    http://arxiv.org/abs/2111.04682v1

    • [cs.LG]SOPE: Spectrum of Off-Policy Estimators
    Christina J. Yuan, Yash Chandak, Stephen Giguere, Philip S. Thomas, Scott Niekum
    http://arxiv.org/abs/2111.03936v1

    • [cs.LG]Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
    Margalit Glasgow, Honglin Yuan, Tengyu Ma
    http://arxiv.org/abs/2111.03741v1

    • [cs.LG]Spirometry-based airways disease simulation and recognition using Machine Learning approaches
    Riccardo Dio, André Galligo, Angelos Mantzaflaris, Benjamin Mauroy
    http://arxiv.org/abs/2111.04315v1

    • [cs.LG]SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
    Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Lee, Marshall Burke, David B. Lobell, Stefano Ermon
    http://arxiv.org/abs/2111.04724v1

    • [cs.LG]TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
    Bo Lyu, Shiping Wen, Zheng Yan, Kaibo Shi, Ke Li, Tingwen Huang
    http://arxiv.org/abs/2111.03892v1

    • [cs.LG]The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
    Fang Kong, Yueran Yang, Wei Chen, Shuai Li
    http://arxiv.org/abs/2111.04295v1

    • [cs.LG]There is no Double-Descent in Random Forests
    Sebastian Buschjäger, Katharina Morik
    http://arxiv.org/abs/2111.04409v1

    • [cs.LG]Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
    Seohong Park, Jaekyeom Kim, Gunhee Kim
    http://arxiv.org/abs/2111.03941v1

    • [cs.LG]Uncertainty Calibration for Ensemble-Based Debiasing Methods
    Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Chen, Yanyan Lan
    http://arxiv.org/abs/2111.04104v1

    • [cs.LG]Uncertainty Quantification in Neural Differential Equations
    Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara
    http://arxiv.org/abs/2111.04207v1

    • [cs.LG]Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis
    Yatin Dandi, Arthur Jacot
    http://arxiv.org/abs/2111.03972v1

    • [cs.LG]Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
    Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter
    http://arxiv.org/abs/2111.04714v1

    • [cs.LG]Universal and data-adaptive algorithms for model selection in linear contextual bandits
    Vidya Muthukumar, Akshay Krishnamurthy
    http://arxiv.org/abs/2111.04688v1

    • [cs.LG]Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
    Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu
    http://arxiv.org/abs/2111.04613v1

    • [cs.LG]d3rlpy: An Offline Deep Reinforcement Learning Library
    Takuma Seno, Michita Imai
    http://arxiv.org/abs/2111.03788v1

    • [cs.NE]Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons
    Matthew Mithra Noel, Shubham Bharadwaj, Venkataraman Muthiah-Nakarajan, Praneet Dutta, Geraldine Bessie Amali
    http://arxiv.org/abs/2111.04020v1

    • [cs.NE]IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
    Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
    http://arxiv.org/abs/2111.04077v1

    • [cs.NE]Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks
    Samuel Schmidgall, Joe Hays
    http://arxiv.org/abs/2111.04113v1

    • [cs.NI]Centralization is about Control, not Protocols (Position Paper)
    Henning Schulzrinne
    http://arxiv.org/abs/2111.03785v1

    • [cs.RO]Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
    Peng Gao, Brian Reily, Rui Guo, Hongsheng Lu, Qingzhao Zhu, Hao Zhang
    http://arxiv.org/abs/2111.03751v1

    • [cs.RO]Ballistic Multibody Estimator for 2D Open Kinematic Chain
    Thanacha Choopojcharoen, Worachit Ketrungsri, Thanapong Chuangyanyong, Panusorn Chinsakuljaroen
    http://arxiv.org/abs/2111.04118v1

    • [cs.RO]CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage
    Malintha Fernando, Ransalu Senanayake, Martin Swany
    http://arxiv.org/abs/2111.04576v1

    • [cs.RO]D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation
    Wentao Lu, Claude Sammut
    http://arxiv.org/abs/2111.04525v1

    • [cs.RO]Feedback Control of Millimeter Scale Pivot Walkers Using Magnetic Actuation
    Ehab Al Khatib, Pouria Razzaghi, Yildirim Hurmuzlu
    http://arxiv.org/abs/2111.03934v1

    • [cs.RO]Flying Trapeze Act Motion Planning Algorithm for Two-Link Free-Flying Acrobatic Robot
    Thanapong Chuangyanyong, Panusorn Chinsakuljaroen, Worachit Ketrungsri, Thanacha Choopojcharoen
    http://arxiv.org/abs/2111.03823v1

    • [cs.RO]GSG: A Granary Soft Gripper with Mechanical Force Sensing via 3-Dimensional Snap-Through Structure
    Huixu Dong, Chao-Yu Chen, Chen Qiu, Chen-Hua Yeow, Haoyong Yu
    http://arxiv.org/abs/2111.04046v1

    • [cs.RO]Hierarchical Segment-based Optimization for SLAM
    Yuxin Tian, Yujie Wang, Ming Ouyang, Xuesong Shi
    http://arxiv.org/abs/2111.04101v1

    • [cs.RO]Online Adaptation of Monocular Depth Prediction with Visual SLAM
    Shing Yan Loo, Moein Shakeri, Sai Hong Tang, Syamsiah Mashohor, Hong Zhang
    http://arxiv.org/abs/2111.04096v1

    • [cs.RO]PID Controller Optimization for Low-cost Line Follower Robots
    Samet Oguten, Bilal Kabas
    http://arxiv.org/abs/2111.04149v1

    • [cs.RO]Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach
    Zheyu Zhang, Boyang Wang, Chao Lu, Jinghang Li, Cheng Gong, Jianwei Gong
    http://arxiv.org/abs/2111.03822v1

    • [cs.RO]Robust Deep Reinforcement Learning for Quadcopter Control
    Aditya M. Deshpande, Ali A. Minai, Manish Kumar
    http://arxiv.org/abs/2111.03915v1

    • [cs.RO]Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones
    Srivatsan Krishnan Zishen Wan, Kshitij Bhardwaj, Aleksandra Faust, Vijay Janapa Reddi
    http://arxiv.org/abs/2111.03792v1

    • [cs.RO]Swarm Control of Magnetically Actuated Millirobots
    Pouria Razzaghi, Ehab Al Khatib, Yildirim Hurmuzlu
    http://arxiv.org/abs/2111.03931v1

    • [cs.RO]Towards Learning Generalizable Driving Policies from Restricted Latent Representations
    Behrad Toghi, Rodolfo Valiente, Ramtin Pedarsani, Yaser P. Fallah
    http://arxiv.org/abs/2111.03688v1

    • [cs.RO]Using Monocular Vision and Human Body Priors for AUVs to Autonomously Approach Divers
    Michael Fulton, Jungseok Hong, Junaed Sattar
    http://arxiv.org/abs/2111.03712v1

    • [cs.RO]V-MAO: Generati
    f9b
    ve Modeling for Multi-Arm Manipulation of Articulated Objects
    Xingyu Liu, Kris M. Kitani
    http://arxiv.org/abs/2111.03987v1

    • [cs.RO]Wrapped Haptic Display for Communicating Physical Robot Learning
    Antonio Alvarez Valdivia, Ritish Shailly, Naman Seth, Francesco Fuentes, Dylan P. Losey, Laura H. Blumenschein
    http://arxiv.org/abs/2111.04542v1

    • [cs.SD]Characterizing the adversarial vulnerability of speech self-supervised learning
    Haibin Wu, Bo Zheng, Xu Li, Xixin Wu, Hung-yi Lee, Helen Meng
    http://arxiv.org/abs/2111.04330v1

    • [cs.SD]Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
    Sung-Feng Huang, Chyi-Jiunn Lin, Hung-yi Lee
    http://arxiv.org/abs/2111.04040v1

    • [cs.SD]SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points
    Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo
    http://arxiv.org/abs/2111.04436v1

    • [cs.SD]SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines
    Zhang Haozhe, Cai Zexin, Qin Xiaoyi, Li Ming
    http://arxiv.org/abs/2111.03811v1

    • [cs.SD]Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words
    Sivakumar Balasubramanian, Aditya Jajodia, Gowtham Srinivasan
    http://arxiv.org/abs/2111.03971v1

    • [cs.SE]Ontology-based question answering over corporate structured data
    Sergey Gorshkov, Constantin Kondratiev, Roman Shebalov
    http://arxiv.org/abs/2111.04507v1

    • [cs.SI]A Composite Centrality Measure for Improved Identification of Influential Users
    Ahmad Zareie, Amir Sheikhahmadi, Rizos Sakellariou
    http://arxiv.org/abs/2111.04529v1

    • [cs.SI]Epidemic inference through generative neural networks
    Indaco Biazzo, Alfredo Braunstein, Luca Dall’Asta, Fabio Mazza
    http://arxiv.org/abs/2111.03383v2

    • [cs.SI]ExtremeBB: Enabling Large-Scale Research into Extremism, the Manosphere and Their Correlation by Online Forum Data
    Anh V. Vu, Lydia Wilson, Yi Ting Chua, Ilia Shumailov, Ross Anderson
    http://arxiv.org/abs/2111.04479v1

    • [cs.SI]Insights Into Incitement: A Computational Perspective on Dangerous Speech on Twitter in India
    Saloni Dash, Rynaa Grover, Gazal Shekhawat, Sukhnidh Kaur, Dibyendu Mishra, Joyojeet Pal
    http://arxiv.org/abs/2111.03906v1

    • [cs.SI]Measuring Proximity in Attributed Networks for Community Detection
    Rinat Aynulin, Pavel Chebotarev
    http://arxiv.org/abs/2111.03089v1

    • [econ.EM]Exponential GARCH-Ito Volatility Models
    Donggyu Kim
    http://arxiv.org/abs/2111.04267v1

    • [econ.GN]On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good?
    Jakob Mokander
    http://arxiv.org/abs/2111.04165v1

    • [eess.AS]Class Token and Knowledge Distillation for Multi-head Self-Attention Speaker Verification Systems
    Victoria Mingote, Antonio Miguel, Alfonso Ortega, Eduardo Lleida
    http://arxiv.org/abs/2111.03842v1

    • [eess.AS]Learning Filterbanks for End-to-End Acoustic Beamforming
    Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
    http://arxiv.org/abs/2111.04614v1

    • [eess.IV]A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers
    György Kovács, Attila Fazekas
    http://arxiv.org/abs/2111.03853v1

    • [eess.IV]Acquisition-invariant brain MRI segmentation with informative uncertainties
    Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Klaser, David Thomas, Ivana Drobnjak, Sebastien Ourselin, M Jorge Cardoso
    http://arxiv.org/abs/2111.04094v1

    • [eess.IV]Artifact- and content-specific quality assessment for MRI with image rulers
    Ke Lei, John M. Pauly, Shreyas S. Vasanawala
    http://arxiv.org/abs/2111.03780v1

    • [eess.IV]Automated pharyngeal phase detection and bolus localization in videofluoroscopic swallowing study: Killing two birds with one stone?
    Andrea Bandini, Sana Smaoui, Catriona M. Steele
    http://arxiv.org/abs/2111.04699v1

    • [eess.IV]Demystifying Deep Learning Models for Retinal OCT Disease Classification using Explainable AI
    Tasnim Sakib Apon, Mohammad Mahmudul Hasan, Abrar Islam, MD. Golam Rabiul Alam
    http://arxiv.org/abs/2111.03890v1

    • [eess.IV]Dense Representative Tooth Landmark/axis Detection Network on 3D Model
    Guangshun Wei, Zhiming Cui, Jie Zhu, Lei Yang, Yuanfeng Zhou, Pradeep Singh, Min Gu, Wenping Wang
    http://arxiv.org/abs/2111.04212v1

    • [eess.IV]Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
    Tanmoy Dam, Nidhi Swami, Sreenatha G. Anavatti, Hussein A. Abbass
    http://arxiv.org/abs/2111.04019v1

    • [eess.IV]Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention
    Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartłomiej W. Papież
    http://arxiv.org/abs/2111.03848v1

    • [eess.IV]Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
    Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
    http://arxiv.org/abs/2111.03815v1

    • [eess.IV]Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels
    Zexi Hu, Xiaoming Chen, Henry Wing Fung Yeung, Yuk Ying Chung, Zhibo Chen
    http://arxiv.org/abs/2111.04069v1

    • [eess.IV]The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker
    Satish K. Panda, Haris Cheong, Tin A. Tun, Thanadet Chuangsuwanich, Aiste Kadziauskiene, Vijayalakshmi Senthil, Ramaswami Krishnadas, Martin L. Buist, Shamira Perera, Ching-Yu Cheng, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard
    http://arxiv.org/abs/2111.03997v1

    • [eess.IV]Triple-level Model Inferred Collaborative Network Architecture for Video Deraining
    Pan Mu, Zhu Liu, Yaohua Liu, Xin Fan
    http://arxiv.org/abs/2111.04459v1

    • [eess.SY]A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters
    David J. Biagioni, Xiangyu Zhang, Peter Graf, Devon Sigler, Wesley Jones
    http://arxiv.org/abs/2111.04689v1

    • [eess.SY]Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
    Eivind Bøhn, Erlend M. Coates, Dirk Reinhardt, Tor Arne Johansen
    http://arxiv.org/abs/2111.04153v1

    • [eess.SY]Data-driven Set-based Estimation of Polynomial Systems with Application to SIR Epidemics
    Amr Alanwar, Muhammad Umar B. Niazi, Karl H. Johansson
    http://arxiv.org/abs/2111.04704v1

    • [eess.SY]Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
    Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen
    http://arxiv.org/abs/2111.04146v1

    • [hep-lat]Lattice gauge symmetry in neural networks
    Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
    http://arxiv.org/abs/2111.04389v1

    • [math.CO]Equivalences of biprojective almost perfect nonlinear functions
    Faruk Göloğlu, Lukas Kölsch
    http://arxiv.org/abs/2111.04197v1

    • [math.FA]Riesz transform associated with the fractional Fourier transform and applications
    Zunwei Fu, Loukas Grafakos, Yan Lin, Yue Wu, Shuhui Yang
    http://arxiv.org/abs/2111.04027v1

    • [math.GR]Anagrammatic quotients of free groups
    Eric Stubley
    http://arxiv.org/abs/2111.04517v1

    • [math.LO]On Homomorphism Graphs
    Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhoň, Zoltán Vidnyánszky
    http://arxiv.org/abs/2111.03683v1

    • [math.NA]Extension of Correspondence Analysis to multiway data-sets through High Order SVD: a geometric framework
    Olivier Coulaud, Alain Franc, Martina Iannacito
    http://arxiv.org/abs/2111.04343v1

    • [math.OC]AGGLIO: Global Optimization for Locally Convex Functions
    Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
    http://arxiv.org/abs/2111.03932v1

    • [math.OC]Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization
    Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie
    http://arxiv.org/abs/2111.03820v1

    • [math.OC]Inertial Newton Algorithms Avoiding Strict Saddle Points
    Camille Castera
    http://arxiv.org/abs/2111.04596v1

    • [math.OC]Learning equilibria with personalized incentives in a class of nonmonotone games
    Filippo Fabiani, Andrea Simonetto, Paul J. Goulart
    http://arxiv.org/abs/2111.03854v1

    • [math.ST]On the Finite-Sample Performance of Measure Transportation-Based Multivariate Rank Tests
    Marc Hallin, Gilles Mordant
    http://arxiv.org/abs/2111.04705v1

    • [math.ST]Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer
    Andrew D. McRae, Justin K. Romberg, Mark A. Davenport
    http://arxiv.org/abs/2111.04652v1

    • [math.ST]Parametric and nonparametric probability distribution estimators of sample maximum
    Taku Moriyama
    http://arxiv.org/abs/2111.03765v1

    • [math.ST]Smooth tensor estimation with unknown permutations
    Chanwoo Lee, Miaoyan Wang
    http://arxiv.org/abs/2111.04681v1

    • [math.ST]Strong Recovery In Group Synchronization
    Bradley Stich
    http://arxiv.org/abs/2111.03705v1

    • [physics.geo-ph]Machine Learning Guided 3D Image Recognition for Carbonate Pore and Mineral Volumes Determination
    Omar Alfarisi, Aikifa Raza, Hongtao Zhang, Djamel Ozzane, Mohamed Sassi, Tiejun Zhang
    http://arxiv.org/abs/2111.04612v1

    • [physics.med-ph]Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
    Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipkova, Florian Kofler, Johannes Paetzold, Luca Canalini, Diana Waldmannstetter, Martin Menten, Marie Metz, Benedikt Wiestler, Bjoern Menze
    http://arxiv.org/abs/2111.04090v1

    • [q-bio.MN]AI challenges for predicting the impact of mutations on protein stability
    Fabrizio Pucci, Martin Schwersensky, Marianne Rooman
    http://arxiv.org/abs/2111.04208v1

    • [q-bio.NC]The Global Structure of Codimension-2 Local Bifurcations in Continuous-Time Recurrent Neural Networks
    Randall D. Beer
    http://arxiv.org/abs/2111.04547v1

    • [q-bio.QM]Structure-aware generation of drug-like molecules
    Pavol Drotár, Arian Rokkum Jamasb, Ben Day, Cătălina Cangea, Pietro Liò
    http://arxiv.org/abs/2111.04107v1

    • [q-bio.QM]Tradeoffs of Linear Mixed Models in Genome-wide Association Studies
    Haohan Wang, Bryon Aragam, Eric Xing
    http://arxiv.org/abs/2111.03739v1

    • [q-fin.PM]Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach
    Mao Guan, Xiao-Yang Liu
    http://arxiv.org/abs/2111.03995v1

    • [q-fin.PM]Stock Portfolio Optimization Using a Deep Learning LSTM Model
    Jaydip Sen, Abhishek Dutta, Sidra Mehtab
    http://arxiv.org/abs/2111.04709v1

    • [quant-ph]Representation Learning via Quantum Neural Tangent Kernels
    Junyu Liu, Francesco Tacchino, Jennifer R. Glick, Liang Jiang, Antonio Mezzacapo
    http://arxiv.org/abs/2111.04225v1

    • [stat.AP]A Bayesian Analysis of Migration Pathways using Chain Event Graphs of Agent Based Models
    Peter Strong, Alys McAlpine, Jim Q Smith
    http://arxiv.org/abs/2111.04368v1

    • [stat.AP]A Non-Markovian Model to Assess Contact Tracing for the Containment of COVID-19
    Aram Vajdi, Lee W. Cohnstaedt, Leela E. Noronhaz, Dana N. Mitzelz, William C. Wilsonz, Caterina M. Scoglio
    http://arxiv.org/abs/2111.03722v1

    • [stat.AP]A probabilistic formalization of contextual bias in forensic analysis: Evidence that examiner bias leads to systemic bias in the criminal justice system
    Maria Cuellar, Jacqueline Mauro, Amanda Luby
    http://arxiv.org/abs/2111.03762v1

    • [stat.AP]Assessing the Uncertainty of Epidemiological Forecasts with Normalised Estimation Error Squared
    R. E. Moore, C. Rosato, S. Maskell
    http://arxiv.org/abs/2111.04498v1

    • [stat.AP]Bayesian modelling of statistical region- and family-level clustered ordinal outcome data from Turkey
    Ozgur Asar
    http://arxiv.org/abs/2111.04645v1

    • [stat.AP]The Role of SARS-CoV-2 Testing on Hospitalizations in California
    J. Cricelio Montesinos-López, Maria L. Daza-Torres, Yury E. García, Luis A. Barboza, Fabio Sanchez, Alec J. Schmidt, Brad H. Pollock, Miriam Nuño
    http://arxiv.org/abs/2111.03761v1

    • [stat.ME]An Online Sequential Test for Qualitative Treatment Effects
    Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
    http://arxiv.org/abs/2111.03908v1

    • [stat.ME]Assessing the effectiveness of empirical calibration under different bias scenarios
    Hon Hwang, Juan C Quiroz, Blanca Gallego
    http://arxiv.org/abs/2111.04233v1

    • [stat.ME]Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables
    Anaïs Rouanet, Rob Johnson, Magdalena E Strauss, Sylvia Richardson, Brian D Tom, Simon R White, Paul D W Kirk
    http://arxiv.org/abs/2111.04518v1

    • [stat.ME]Causal Mediation and Sensitivity Analysis for Mixed-Scale Data
    Lexi Rene, Antonio R. Linero, Elizabeth Slate
    http://arxiv.org/abs/2111.03907v1

    • [stat.ME]Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules
    Tianxi Li, Xiwei Tang, Ajay Chatrath
    http://arxiv.org/abs/2111.03721v1

    • [stat.ME]Empirical Bayes Control of the False Discovery Exceedance
    Pallavi Basu, Luella Fu, Alessio Saretto, Wenguang Sun
    http://arxiv.org/abs/2111.03885v1

    • [stat.ME]Gene regulatory network in single cells based on the Poisson log-normal model
    Feiyi Xiao, Junjie Tang, Huaying Fang, Ruibin Xi
    http://arxiv.org/abs/2111.04037v1

    • [stat.ME]Is the group structure important in grouped functional time series?
    Yang Yang, Han Lin Shang
    http://arxiv.org/abs/2111.04390v1

    • [stat.ME]Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects
    Rahul Singh, Liyuan Xu, Arthur Gretton
    http://arxiv.org/abs/2111.03950v1

    • [stat.ME]Metric Distributional Discrepancy in Metric Space
    Wenliang Pan, Yujue Li, Jianwu Liu, Weixiong Mai
    http://arxiv.org/abs/2111.03851v1

    • [stat.ME]Rate-Optimal Cluster-Randomized Designs for Spatial Interference
    Michael P. Leung
    http://arxiv.org/abs/2111.04219v1

    • [stat.ME]The Ball Pit Algorithm: A Markov Chain Monte Carlo Method Based on Path Integrals
    Miguel Fudolig, Reka Howard
    http://arxiv.org/abs/2111.03691v1

    • [stat.ME]The How and Why of Bayesian Nonparametric Causal Inference
    Antonio R. Linero, Joseph L. Antonelli
    http://arxiv.org/abs/2111.03897v1

    • [stat.ME]The Weighted Generalised Covariance Measure
    Cyrill Scheidegger, Julia Hörrmann, Peter Bühlmann
    http://arxiv.org/abs/2111.04361v1

    • [stat.ME]Transformed-linear prediction for extremes
    Jeongjin Lee, Daniel Cooley
    http://arxiv.org/abs/2111.03754v1

    • [stat.ML]A Private and Computationally-Efficient Estimator for Unbounded Gaussians
    Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan Ullman
    http://arxiv.org/abs/2111.04609v1

    • [stat.ML]Clustering and Structural Robustness in Causal Diagrams
    Santtu Tikka, Jouni Helske, Juha Karvanen
    http://arxiv.org/abs/2111.04513v1

    • [stat.ML]Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models
    Salim I. Amoukou, Nicolas J. B Brunel
    http://arxiv.org/abs/2111.04658v1

    • [stat.ML]Deep Neyman-Scott Processes
    Chengkuan Hong, Christian R. Shelton
    http://arxiv.org/abs/2111.03949v1

    • [stat.ML]Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
    Hugh Dance, Brooks Paige
    http://arxiv.org/abs/2111.04558v1

    • [stat.ML]Neyman-Pearson Multi-class Classification via Cost-sensitive Learning
    Ye Tian, Yang Feng
    http://arxiv.org/abs/2111.04597v1