今日学术视野(2021.2.24)

astro-ph.EP - 地球与行星天体

cond-mat.dis-nn - 无序系统与神经网络 cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.DG - 微分几何 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.flu-dyn - 流体动力学 physics.med-ph - 医学物理学 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.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

• [astro-ph.EP]Automated identification of transiting exoplanet candidates in NASA Transiting Exoplanets Survey Satellite (TESS) data with machine learning methods
• [cond-mat.dis-nn]Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
• [cond-mat.stat-mech]Divergent Predictive States: The Statistical Complexity Dimension of Stationary, Ergodic Hidden Markov Processes
• [cs.AI]Abstraction and Analogy-Making in Artificial Intelligence
• [cs.AI]Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
• [cs.AI]Game Mechanic Alignment Theory and Discovery
• [cs.AI]Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits
• [cs.AI]Inductive logic programming at 30
• [cs.AI]LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
• [cs.AI]On a notion of independence proposed by Teddy Seidenfeld
• [cs.AI]Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphs
• [cs.AI]Physical Reasoning Using Dynamics-Aware Models
• [cs.AI]Program Synthesis Guided Reinforcement Learning
• [cs.AI]Software Architecture for Next-Generation AI Planning Systems
• [cs.AI]Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective
• [cs.AR]Dither computing: a hybrid deterministic-stochastic computing framework
• [cs.AR]Silent Data Corruptions at Scale
• [cs.CL]A Relational Tsetlin Machine with Applications to Natural Language Understanding
• [cs.CL]An Attention Ensemble Approach for Efficient Text Classification of Indian Languages
• [cs.CL]Automatic Code Generation using Pre-Trained Language Models
• [cs.CL]Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines
• [cs.CL]Bilingual Language Modeling, A transfer learning technique for Roman Urdu
• [cs.CL]CDA: a
56a2
Cost Efficient Content-based Multilingual Web Document Aligner
• [cs.CL]Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu
• [cs.CL]Cognitively Aided Zero-Shot Automatic Essay Grading
• [cs.CL]Contextual Argument Component Classification for Class Discussions
• [cs.CL]Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched Data
• [cs.CL]Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images
• [cs.CL]Discussion Tracker: Supporting Teacher Learning about Students’ Collaborative Argumentation in High School Classrooms
• [cs.CL]Domain Adaptation in Dialogue Systems using Transfer and Meta-Learning
• [cs.CL]Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
• [cs.CL]Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
• [cs.CL]Evaluating Contextualized Language Models for Hungarian
• [cs.CL]Few Shot Learning for Information Verification
• [cs.CL]Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
• [cs.CL]Joint Intent Detection And Slot Filling Based on Continual Learning Model
• [cs.CL]Machine Translation Customization via Automatic Training Data Selection from the Web
• [cs.CL]Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation
• [cs.CL]Multilingual Answer Sentence Reranking via Automatically Translated Data
• [cs.CL]NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu
• [cs.CL]Position Information in Transformers: An Overview
• [cs.CL]Pre-Training BERT on Arabic Tweets: Practical Considerations
• [cs.CL]Pruning the Index Contents for Memory Efficient Open-Domain QA
• [cs.CL]ReINTEL Challenge 2020: Exploiting Transfer Learning Modelsfor Reliable Intelligence Identification on Vietnamese Social Network Sites
• [cs.CL]Subword Pooling Makes a Difference
• [cs.CL]Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach
• [cs.CL]Understanding and Enhancing the Use of Context for Machine Translation
• [cs.CL]User Factor Adaptation for User Embedding via Multitask Learning
• [cs.CL]Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks
• [cs.CL]Web-based Application for Detecting Indonesian Clickbait Headlines using IndoBERT
• [cs.CR]WaNet — Imperceptible Warping-based Backdoor Attack
• [cs.CR]When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System
• [cs.CV]A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
• [cs.CV]A Deep Decomposition Network for Image Processing: A Case Study for Visible and Infrared Image Fusion
• [cs.CV]A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images
• [cs.CV]A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification
• [cs.CV]Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems
• [cs.CV]Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
• [cs.CV]Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
• [cs.CV]Approximation of dilation-based spatial relations to add structural constraints in neural networks
• [cs.CV]Attention Models for Point Clouds in Deep Learning: A Survey
• [cs.CV]CSTR: A Classification Perspective on Scene Text Recognition
• [cs.CV]Camera Calibration with Pose Guidance
• [cs.CV]CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images
• [cs.CV]CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
• [cs.CV]Concealed Object Detection
• [cs.CV]Contour Loss for Instance Segmentation via k-step Distance Transformation Image
• [cs.CV]Contrastive Self-supervised Neural Architecture Search
• [cs.CV]Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search
• [cs.CV]Deep Learning for Robust Motion Segmentation with Non-Static Cameras
• [cs.CV]Deepfake Video Detection Using Convolutional Vision Transformer
• [cs.CV]Direct Estimation of Appearance Models for Segmentation
• [cs.CV]Do Generative Models Know Disentanglement? Contrastive Learning is All You Need
• [cs.CV]Do We Really Need Explicit Position Encodings for Vision Transformers?
• [cs.CV]EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks
• [cs.CV]Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM
• [cs.CV]Escaping Poor Local Minima in Large Scale Robust Estimation
• [cs.CV]Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception
• [cs.CV]Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification
• [cs.CV]GMLight: Lighting Estimation via Geometric Distribution Approximation
• [cs.CV]Generator Surgery for Compressed Sensing
• [cs.CV]Hard-Attention for Scalable Image Classification
• [cs.CV]Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology
• [cs.CV]Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation
• [cs.CV]Image Classification using CNN for Traffic Signs in Pakistan
• [cs.CV]Improving Action Quality Assessment using ResNets and Weighted Aggregation
• [cs.CV]Learning Compositional Representation for Few-shot Visual Question Answering
• [cs.CV]Learning Deep Features for Shape Correspondence with Domain Invariance
• [cs.CV]MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
• [cs.CV]Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
• [cs.CV]MetaDelta: A Meta-Learning System for Few-shot Image Classification
• [cs.CV]On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
• [cs.CV]PCB-Fire: Automated Classification and Fault Detection in PCB
• [cs.CV]Person Re-identification based on Robust Features in Open-world
• [cs.CV]Phase Space Reconstruction Network for Lane Intrusion Action Recognition
• [cs.CV]Post-hoc Overall Survival Time Prediction from Brain MRI
• [cs.CV]Probabilistic Vehicle Reconstruction Using a Multi-Task CNN
• [cs.CV]Progressive Depth Learning for Single Image Dehazing
• [cs.CV]Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
• [cs.CV]SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences
• [cs.CV]Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
• [cs.CV]Self-Supervised Learning via multi-Transformation Classification for Action Recognition
• [cs.CV]Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
• [cs.CV]Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
• [cs.CV]Style and Pose Control for Image Synthesis of Humans from a Single Monocular View
• [cs.CV]Subspace-Based Feature Fusion From Hyperspectral And Multispectral Image For Land Cover Classification
• [cs.CV]Three dimensional unique identifier based automated georeferencing and coregistration of point clouds in underground environment
• [cs.CV]Towards Accurate and Compact Architectures via Neural Architecture Transformer
• [cs.CV]Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization
• [cs.CV]Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
• [cs.CV]Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer
• [cs.CV]Unsupervised Medical Image Alignment with Curriculum Learning
• [cs.CV]VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining
• [cs.CV]Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
• [cs.CY]AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment
• [cs.CY]Abstracting data in distributed ledger systems for higher level analytics and visualizations
• [cs.CY]An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality: the effects of delay and task type on everyday prospective memory
• [cs.CY]Effect of Cloud Based Learning Management System on The Learning Management System Implementation Process: Faculty and Student Perspectives
• [cs.CY]Everything is Relative: Understanding Fairness with Optimal Transport
• [cs.CY]Exploring the dynamics of protest against National Register of Citizens & Citizenship Amendment Act through online social media: the Indian experience
• [cs.CY]Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments
• [cs.CY]How to Survive a Learning Management System (LMS) Implementation? A Stakeholder Analysis Approach
• [cs.CY]Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions
• [cs.CY]Transitioning from Blackboard to Moodle amidst Natural Disaster: Faculty and Students Perceptions
• [cs.DC]A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems
• [cs.DC]ALTO: Adaptive Linearized Storage of Sparse Tensors
• [cs.DC]BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics
• [cs.DC]Byzantine Agreement with Unknown Participants and Failures
• [cs.DC]Characterizing and Optimizing EDA Flows for the Cloud
• [cs.DC]CoinTossX: An open-source low-latency high-throughput matching engine
• [cs.DC]Reading from External Memory
• [cs.DC]Stability and Resilience of Distributed Information Spreading in Aggregate Computing
• [cs.DC]Tame the Wild with Byzantine Linearizability: Reliable Broadcast, Snapshots, and Asset Transfer
• [cs.DL]How are journals cited? characterizing journal citations by type of citation
• [cs.DS]A High-dimensional Sparse Fourier Transform in the Continuous Setting
• [cs.DS]Approximating the Log-Partition Function
• [cs.DS]Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning
• [cs.FL]Les claviers, un modèle de calcul
• [cs.HC]Towards Teachable Conversational Agents
• [cs.IR]A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search
• [cs.IR]EXTRA: Explanation Ranking Datasets for Explainable Recommendation
• [cs.IR]Entities of Interest
• [cs.IR]Factor-level Attentive ICF for Recommendation
• [cs.IR]Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network
• [cs.IR]Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
• [cs.IR]UPRec: User-Aware Pre-training for Recommender Systems
• [cs.IT]A Direct Construction of Complete Complementary Codes With Arbitrary Lengths
• [cs.IT]Analyzing Cross Validation In Compressed Sensing With Mixed Gaussian And Impulse Measurement Noise With L1 Errors
• [cs.IT]Anchor-Assisted Channel Estimation for Intelligent Reflecting Surface Aided Multiuser Communication
• [cs.IT]Belief-Propagation Decoding of LDPC Codes with Variable Node-Centric Dynamic Schedules
• [cs.IT]CSIT-Free Federated Edge Learning via Reconfigurable Intelligent Surface
• [cs.IT]Channel Estimation and Data Decoding Analysis of Massive MIMO with 1-Bit ADCs
• [cs.IT]Deep Learning Based Frequency-Selective Channel Estimation for Hybrid mmWave MIMO Systems
• [cs.IT]Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction
• [cs.IT]Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV
• [cs.IT]Efficient Numerical Methods for Secrecy Capacity of Gaussian MIMO Wiretap Channel
• [cs.IT]Energy-Efficient Precoding for Multi-User Visible Light Communication with Confidential Messages
• [cs.IT]Fast and Sample-Efficient Federated Low Rank Matrix Recovery from Column-wise Linear and Quadratic Projections
• [cs.IT]Generalized Non-adaptive Group Testing
• [cs.IT]Information Bottleneck for a Rayleigh Fading MIMO Channel with an Oblivious Relay
• [cs.IT]Information Decoding and SDR Implementation of DFRC Systems Without Training Signals
• [cs.IT]Joint Estimation of Multipath Angles and Delays for Millimeter-Wave Cylindrical Arrays with Hybrid Front-ends
• [cs.IT]Massive Random Access with Sporadic Short Packets: Joint Active User Detection and Channel Estimation via Sequential Message Passing
• [cs.IT]Millimeter-wave and Terahertz Spectrum for 6G Wireless
• [cs.IT]Mobility-Aware Routing and Caching: A Federated Learning Assisted Approach
• [cs.IT]Nested Array-Based Spatially Coupled LDPC Codes
• [cs.IT]On Gradient Coding with Partial Recovery
• [cs.IT]Performance Prediction Recipes for Optical Links
• [cs.IT]Polar-Coded Non-Coherent Communication
• [cs.IT]Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments
• [cs.IT]Residual-Aided End-to-End Learning of Communication System without Known Channel
• [cs.IT]Symbol-Level Synchronisation Channel Modelling With Real-World Application: From Davey-Mackay, Fritchman to Markov
• [cs.LG]A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization
• [cs.LG]A Theory of Label Propagation for Subpopulation Shift
• [cs.LG]A theory of capacity and sparse neural encoding
• [cs.LG]An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks
• [cs.LG]Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients
• [cs.LG]BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
• [cs.LG]Causal Policy Gradients
• [cs.LG]Clustering Algorithm to Detect Adversaries in Federated Learning
• [cs.LG]Communication Efficient Parallel Reinforcement Learning
• [cs.LG]Conditional Adversarial Networks for Multi-Domain Text Classification
• [cs.LG]Coping with Mistreatment in Fair Algorithms
• [cs.LG]Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition
• [cs.LG]Decaying Clipping Range in Proximal Policy Optimization
• [cs.LG]Decoupling Value and Policy for Generalization in Reinforcement Learning
• [cs.LG]Deep Kalman Filter: A Refinement Module for the Rollout Trajectory Prediction Methods
• [cs.LG]Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
• [cs.LG]Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval
• [cs.LG]Dissecting the Diffusion Process in Linear Graph Convolutional Networks
• [cs.LG]Elastic Similarity Measures for Multivariate Time Series Classification
• [cs.LG]Empirical Sufficiency Featuring Reward Delay Calibration
• [cs.LG]End-to-end neural network approach to 3D reservoir simulation and adaptation
• [cs.LG]Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization
• [cs.LG]Expanding boundaries of Gap Safe screening
• [cs.LG]Few-shot Network Anomaly Detection via Cross-network Meta-learning
• [cs.LG]GIST: Distributed Training for Large-Scale Graph Convolutional Networks
• [cs.LG]GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
• [cs.LG]Going Far Boosts Attack Transferability, but Do Not Do It
• [cs.LG]GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement
• [cs.LG]Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment
• [cs.LG]Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning
• [cs.LG]Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
• [cs.LG]Improving Uncertainty Calibration via Prior Augmented Data
• [cs.LG]Interpret-able feedback for AutoML systems
• [cs.LG]Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
• [cs.LG]Learning Contact Dynamics using Physically Structured Neural Networks
• [cs.LG]Learning Neural Generative Dynamics for Molecular Conformation Generation
• [cs.LG]Learning Neural Network Subspaces
• [cs.LG]Learning Purified Feature Representations from Task-irrelevant Labels
• [cs.LG]Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks
• [cs.LG]Linear Classifiers in Mixed Constant Curvature Spaces
• [cs.LG]Linear Transformers Are Secretly Fast Weight Memory Systems
• [cs.LG]Linear unit-tests for invariance discovery
• [cs.LG]Localized Calibration: Metrics and Recalibration
• [cs.LG]LogME: Practical Assessment of Pre-trained Models for Transfer Learning
• [cs.LG]Logarithmic Regret in Feature-based Dynamic Pricing
• [cs.LG]Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
• [cs.LG]MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks
• [cs.LG]Meta-Learning Dynamics Forecasting Using Task Inference
• [cs.LG]Modeling Multi-Destination Trips with Sketch-Based Model
• [cs.LG]Multiple Kernel-Based Online Federated Learning
• [cs.LG]NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
• [cs.LG]Necessary and sufficient conditions for optimal adjustment sets in causal graphical models with hidden variables
• [cs.LG]Neural Delay Differential Equations
• [cs.LG]Neural Pharmacodynamic State Space Modeling
• [cs.LG]Non-Convex Optimization with Spectral Radius Regularization
• [cs.LG]Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders
• [cs.LG]Nonparametric adaptive active learning under local smoothness condition
• [cs.LG]On Calibration and Out-of-domain Generalization
• [cs.LG]On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
• [cs.LG]On Proximal Policy Optimization’s Heavy-tailed Gradients
• [cs.LG]On Single-User Interactive Beam Alignment in Next Generation Systems: A Deep Learning Viewpoint
• [cs.LG]On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
• [cs.LG]On the robustness of randomized classifiers to adversarial examples
• [cs.LG]Optimism is All You Need: Model-Based Imitation Learning From Observation Alone
• [cs.LG]Persistence Homology for Link Prediction: An Interactive View
• [cs.LG]Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case
• [cs.LG]Reinforcement Learning with Prototypical Representations
• [cs.LG]Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks
• [cs.LG]Retrain or not retrain: Conformal test martingales for change-point detection
• [cs.LG]Return-Based Contrastive Representation Learning for Reinforcement Learning
• [cs.LG]SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
• [cs.LG]SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks
• [cs.LG]Safe Reinforcement Learning Using Robust Action Governor
• [cs.LG]Self-Supervised Learning of Graph Neural Networks: A Unified Review
• [cs.LG]Shapley values for feature selection: The good, the bad, and the axioms
• [cs.LG]Sign-regularized Multi-task Learning
• [cs.LG]Slowly Varying Regression under Sparsity
• [cs.LG]Softmax Policy Gradient Methods Can Take Exponential Time to Converge
• [cs.LG]Super-Convergence with an Unstable Learning Rate
• [cs.LG]Sustainable Federated Learning
• [cs.LG]Symbolic regression for scientific discovery: an application to wind speed forecasting
• [cs.LG]Synthesizing Irreproducibility in Deep Networks
• [cs.LG]Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
• [cs.LG]The Effects of Image Distribution and Task on Adversarial Robustness
• [cs.LG]Thinking Deeply with Recurrence: Generalizing from Easy to Hard Sequential Reasoning Problems
• [cs.LG]Towards Causal Representation Learning
• [cs.LG]Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
• [cs.LG]Tractable Computation of Expected Kernels by Circuits
• [cs.LG]Trumpets: Injective Flows for Inference and Inverse Problems
• [cs.LG]Unavailable Transit Feed Specification: Making it Available with Recurrent Neural Networks
• [cs.LG]Unsupervised Meta Learning for One Shot Title Compression in Voice Commerce
• [cs.LG]Variational Data Assimilation with a Learned Inverse Observation Operator
• [cs.LG]Weak NAS Predictors Are All You Need
• [cs.LG]nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series
• [cs.LO]Relative Expressiveness of Defeasible Logics II
• [cs.MA]Mastering Terra Mystica: Applying Self-Play to Multi-agent Cooperative Board Games
• [cs.MM]Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots
• [cs.NE]Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification
• [cs.NE]Elementary superexpressive activations
• [cs.NE]Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study
• [cs.NE]STDP enhances learning by backpropagation in a spiking neural network
• [cs.NI]Customized Slicing for 6G: Enforcing Artificial Intelligence on Resource Management
• [cs.NI]Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR
• [cs.RO]3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot
• [cs.RO]Autonomous Obstacle Avoidance by Learning Policies for Reference Modification
• [cs.RO]DROID: Minimizing the Reality Gap usingSingle-Shot Human Demonstration
• [cs.RO]Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions
• [cs.RO]Digger Finger: GelSight Tactile Sensor for Object Identification Inside Granular Media
• [cs.RO]HAIR: Head-mounted AR Intention Recognition
• [cs.RO]How To Train Your HERON
• [cs.RO]Imitation Learning for Variable Speed Object Manipulation
• [cs.RO]Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation
• [cs.RO]Mapping Surgeon’s Hand/Finger Motion During Conventional Microsurgery to Enhance Intuitive Surgical Robot Teleoperation
• [cs.RO]Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles
• [cs.RO]Point Cloud Subsampling Parallelization for Unified Memory Platforms
• [cs.RO]Robotic Contact Juggling
• [cs.RO]Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly
• [cs.RO]Uncertainty-Aware Deep Learning for Autonomous Safe Landing Site Selection
• [cs.RO]Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator
• [cs.RO]Zoomorphic Gestures for Communicating Cobot States
• [cs.RO]ikd-Tree: An Incremental K-D Tree for Robotic Applications
• [cs.SD]Anyone GAN Sing
• [cs.SD]Learnable MFCCs for Speaker Verification
• [cs.SE]A Projection-Stable Grammatical Model for the Distributed Execution of Administrative Processes with Emphasis on Actors’ Views
• [cs.SE]Automatic Programming Through Combinatorial Evolution
• [cs.SE]CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces
• [cs.SI]A novel method based on node correlation to evaluate the important nodes in complex networks
• [cs.SI]Agent-Based Campus Novel Coronavirus Infection and Control Simulation
• [cs.SI]Changing Beliefs about Scientific Issues: The Role of Moral and Social Belief Networks
• [cs.SI]Hide and Seek: Outwitting Community Detection Algorithms
• [cs.SI]REMOD: Relation Extraction for Modeling Online Discourse
• [cs.SI]Social Diffusion Sources Can Escape Detection
• [cs.SI]Social Networks Analysis to Retrieve Critical Comments on Online Platforms
• [cs.SI]The Moral Foundations of Left-Wing Authoritarianism: On the Character, Cohesion, and Clout of Tribal Equalitarian Discourse
• [cs.SI]The Soccer Game, bit by bit: An information-theoretic analyis
• [cs.SI]WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic
• [cs.SI]Weighted Graph Nodes Clustering via Gumbel Softmax
• [econ.EM]Approximate Bayes factors for unit root testing
• [econ.EM]Estimation and Inference by Stochastic Optimization: Three Examples
• [eess.AS]”Am I A Good Therapist?” Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies
• [eess.AS]The Use of Voice Source Features for Sung Speech Recognition
• [eess.IV]Classification of COVID-19 via Homology of CT-SCAN
• [eess.IV]Comparative Fault Location Estimation by Using Image Processing in Mixed Transmission Lines
• [eess.IV]Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation
• [eess.IV]Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding
• [eess.IV]RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection
• [eess.IV]Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images
• [eess.IV]Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution
• [eess.SP]Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
• [eess.SP]Determination of Fault Location in Transmission Lines with Image Processing and Artificial Neural Networks
• [eess.SP]Electromagnetic Model of Reflective Intelligent Surfaces
• [eess.SY]CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels
• [eess.SY]Provably Correct Training of Neural Network Controllers Using Reachability Analysis
• [eess.SY]Reinforcement Learning of the Prediction Horizon in Model Predictive Control
• [eess.SY]Versatile and Robust Transient Stability Assessment via Instance Transfer Learning
• [math.CO]New binary self-dual codes of lengths 56, 58, 64, 80 and 92 from a modification of the four circulant construction
• [math.DG]A Sketching Method for Finding the Closest Point on a Convex Hull
• [math.OC]A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
• [math.OC]Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
• [math.PR]Fractional generalized cumulative entropy and its dynamic version
• [math.PR]Large-width functional asymptotics for deep Gaussian neural networks
• [math.PR]Mixed Generalized Fractional Brownian Motion
• [math.PR]On the long range dependence of time-changed mixed fractional Brownian motion model
• [math.ST]A Small-Uniform Statistic for the Inference of Functional Linear Regressions
• [math.ST]Adversarial robust weighted Huber regression
• [math.ST]Autocovariance Estimation in the Presence of Changepoints
• [math.ST]Extension of Saaty’s inconsistency index to incomplete comparisons: Approximated thresholds
• [math.ST]Large-scale simultaneous inference under dependence
• [math.ST]Spectral density of random graphs: convergence properties and application in model fitting
• [physics.flu-dyn]Learning Efficient Navigation in Vortical Flow Fields
• [physics.med-ph]Quantitative photoacoustic oximetry imaging by multiple illumination learned spectral decoloring
• [physics.soc-ph]Flow approaches to community detection in complex network systems
• [q-bio.PE]Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities
• [q-bio.PE]The spread of COVID-19 at Hot-Temperature Places With Different Curfew Situations Using Copula Models
• [quant-ph]-Symmetric Quantum State Discrimination for Attack on BB84 Quantum Key Distribution
• [quant-ph]Efficient Learning of Non-Interacting Fermion Distributions
• [quant-ph]Hamiltonian-Driven Shadow Tomography of Quantum States
• [quant-ph]Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals
• [quant-ph]Kindergarden quantum mechanics graduates (…or how I learned to stop gluing LEGO together and love the ZX-calculus)
• [stat.AP]A Multivariate Methodology for Analysing Students’ Performance Using Register Data
• [stat.AP]Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?
• [stat.AP]Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?
• [stat.AP]Bayesian Functional Registration of fMRI Data
• [stat.AP]Estimating SARS-CoV-2 Infections from Deaths, Confirmed Cases, Tests, and Random Surveys
• [stat.AP]Fused Spatial Point Process IntensityEstimation on Complex Domains
• [stat.AP]Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting
• [stat.AP]Impacts of Heat Decarbonisation on System Adequacy considering Increased Meteorological Sensitivity
• [stat.AP]Localizability with Range-Difference Measurements
• [stat.AP]Modeling Chromate Removal Using Ion Exchangers in Drinking Water Applications
• [stat.AP]Risk Based Arsenic Rational Sampling Design for Public and Environmental Health Management
• [stat.AP]Strata-based Quantification of Distributional Uncertainty in Socio-Economic Indicators: A Comparative Study of Indian States
• [stat.CO]Inverse Gaussian Process regression for likelihood-free inference
• [stat.ME]Accounting for recall bias in case-control studies: a causal inference approach
• [stat.ME]Adaptive Importance Sampling for Efficient Stochastic Root Finding and Quantile Estimation
• [stat.ME]Adaptive dose-response studies to establish proof-of-concept in learning-phase clinical trials
• [stat.ME]Bi-factor and second-order copula models for item response data
• [stat.ME]Designing Experiments Informed by Observational Studies
• [stat.ME]Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer’s Disease
• [stat.ME]Estimating Sibling
1000
Spillover Effects with Unobserved Confounding Using Gain-Scores
• [stat.ME]Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Block-Correlated Predictors
• [stat.ME]Interactive identification of individuals with positive treatment effect while controlling false discoveries
• [stat.ME]Modelling Extremes of Spatial Aggregates of Precipitation using Conditional Methods
• [stat.ME]Probabilistic Learning on Manifolds (PLoM) with Partition
• [stat.ME]Regression discontinuity design: estimating the treatment effect with standard parametric rate
• [stat.ME]Sequential Bayesian experimental design for estimation of extreme-event probability in stochastic dynamical systems
• [stat.ME]Studentized Permutation Method for Comparing Restricted Mean Survival Times with Small Sample from Randomized Trials
• [stat.ME]The likelihood-ratio test for multi-edge network models
• [stat.ME]Truncated, Censored, and Actuarial Payment-type Moments for Robust Fitting of a Single-parameter Pareto Distribution
• [stat.ME]Validating Conditional Density Models and Bayesian Inference Algorithms
• [stat.ML]ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network
• [stat.ML]Adaptive Multi-View ICA: Estimation of noise levels for optimal inference
• [stat.ML]Debiased Kernel Methods
• [stat.ML]Deep ReLU Networks Preserve Expected Length
• [stat.ML]Divide-and-conquer methods for big data analysis
• [stat.ML]Federated -Differential Privacy
• [stat.ML]Generalization bounds for graph convolutional neural networks via Rademacher complexity
• [stat.ML]Inducing a hierarchy for multi-class classification problems
• [stat.ML]Provably Strict Generalisation Benefit for Equivariant Models
• [stat.OT]A Note on Taylor’s Expansion and Mean Value Theorem With Respect to a Random Variable

·····································

• [astro-ph.EP]Automated identification of transiting exoplanet candidates in NASA Transiting Exoplanets Survey Satellite (TESS) data with machine learning methods
Leon Ofman, Amir Averbuch, Adi Shliselberg, Idan Benaun, David Segev, Aron Rissman
http://arxiv.org/abs/2102.10326v1

• [cond-mat.dis-nn]Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
Sourav Dutta, Georgios Detorakis, Abhishek Khanna, Benjamin Grisafe, Emre Neftci, Suman Datta
http://arxiv.org/abs/2102.10477v1

• [cond-mat.stat-mech]Divergent Predictive States: The Statistical Complexity Dimension of Stationary, Ergodic Hidden Markov Processes
Alexandra M. Jurgens, James P. Crutchfield
http://arxiv.org/abs/2102.10487v1

• [cs.AI]Abstraction and Analogy-Making in Artificial Intelligence
Melanie Mitchell
http://arxiv.org/abs/2102.10717v1

• [cs.AI]Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquin Carrasco
http://arxiv.org/abs/2102.10711v1

• [cs.AI]Game Mechanic Alignment Theory and Discovery
Michael Cerny Green, Ahmed Khalifa, Philip Bontrager, Rodrigo Canaan, Julian Togelius
http://arxiv.org/abs/2102.10247v1

• [cs.AI]Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
http://arxiv.org/abs/2102.10865v1

• [cs.AI]Inductive logic programming at 30
Andrew Cropper, Sebastijan Dumančić, Richard Evans, Stephen H. Muggleton
http://arxiv.org/abs/2102.10556v1

• [cs.AI]LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou
http://arxiv.org/abs/2102.10826v1

• [cs.AI]On a notion of independence proposed by Teddy Seidenfeld
Jasper De Bock, Gert de Cooman
http://arxiv.org/abs/2102.10342v1

• [cs.AI]Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphs
Ben Goertzel
http://arxiv.org/abs/2102.10581v1

• [cs.AI]Physical Reasoning Using Dynamics-Aware Models
Eltayeb Ahmed, Anton Bakhtin, Laurens van der Maaten, Rohit Girdhar
http://arxiv.org/abs/2102.10336v1

• [cs.AI]Program Synthesis Guided Reinforcement Learning
Yichen Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama, Martin Rinard
http://arxiv.org/abs/2102.11137v1

• [cs.AI]Software Architecture for Next-Generation AI Planning Systems
Sebastian Graef, Ilche Georgievski
http://arxiv.org/abs/2102.10985v1

• [cs.AI]Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective
Mirza Ramicic, Andrea Bonarini
http://arxiv.org/abs/2102.11232v1

• [cs.AR]Dither computing: a hybrid deterministic-stochastic computing framework
Chai Wah Wu
http://arxiv.org/abs/2102.10732v1

• [cs.AR]Silent Data Corruptions at Scale
Harish Dattatraya Dixit, Sneha Pendharkar, Matt Beadon, Chris Mason, Tejasvi Chakravarthy, Bharath Muthiah, Sriram Sankar
http://arxiv.org/abs/2102.11245v1

• [cs.CL]A Relational Tsetlin Machine with Applications to Natural Language Understanding
Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
http://arxiv.org/abs/2102.10952v1

• [cs.CL]An Attention Ensemble Approach for Efficient Text Classification of Indian Languages
Atharva Kulkarni, Amey Hengle, Rutuja Udyawar
http://arxiv.org/abs/2102.10275v1

• [cs.CL]Automatic Code Generation using Pre-Trained Language Models
Luis Perez, Lizi Ottens, Sudharshan Viswanathan
http://arxiv.org/abs/2102.10535v1

• [cs.CL]Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines
Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Andreas Both, Sören Auer
http://arxiv.org/abs/2102.10966v1

• [cs.CL]Bilingual Language Modeling, A transfer learning technique for Roman Urdu
Usama Khalid, Mirza Omer Beg, Muhammad Umair Arshad
http://arxiv.org/abs/2102.10958v1

• [cs.CL]CDA: a
56a2
Cost Efficient Content-based Multilingual Web Document Aligner
Thuy Vu, Alessandro Moschitti
http://arxiv.org/abs/2102.10246v1

• [cs.CL]Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu
Usama Khalid, Aizaz Hussain, Muhammad Umair Arshad, Waseem Shahzad, Mirza Omer Beg
http://arxiv.org/abs/2102.10957v1

• [cs.CL]Cognitively Aided Zero-Shot Automatic Essay Grading
Sandeep Mathias, Rudra Murthy, Diptesh Kanojia, Pushpak Bhattacharyya
http://arxiv.org/abs/2102.11258v1

• [cs.CL]Contextual Argument Component Classification for Class Discussions
Luca Lugini, Diane Litman
http://arxiv.org/abs/2102.10290v1

• [cs.CL]Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched Data
Anouck Braggaar, Rob van der Goot
http://arxiv.org/abs/2102.11152v1

• [cs.CL]Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images
Siwen Luo, Mengting Wu, Yiwen Gong, Wanying Zhou, Josiah Poon
http://arxiv.org/abs/2102.10287v1

• [cs.CL]Discussion Tracker: Supporting Teacher Learning about Students’ Collaborative Argumentation in High School Classrooms
Luca Lugini, Christopher Olshefski, Ravneet Singh, Diane Litman, Amanda Godley
http://arxiv.org/abs/2102.10293v1

• [cs.CL]Domain Adaptation in Dialogue Systems using Transfer and Meta-Learning
Rui Ribeiro, Alberto Abad, José Lopes
http://arxiv.org/abs/2102.11146v1

• [cs.CL]Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao
http://arxiv.org/abs/000
bs/2102.10249v1
bs/2102.10249v1)

• [cs.CL]Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao
http://arxiv.org/abs/2102.10249v1

• [cs.CL]Evaluating Contextualized Language Models for Hungarian
Judit Ács, Dániel Lévai, Dávid Márk Nemeskey, András Kornai
http://arxiv.org/abs/2102.10848v1

• [cs.CL]Few Shot Learning for Information Verification
Usama Khalid, Mirza Omer Beg
http://arxiv.org/abs/2102.10956v1

• [cs.CL]Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Eskimez, Liyang Lu, Hong Qu, Michael Zeng
http://arxiv.org/abs/2102.11114v1

• [cs.CL]Joint Intent Detection And Slot Filling Based on Continual Learning Model
Yanfei Hui, Jianzong Wang, Ning Cheng, Fengying Yu, Tianbo Wu, Jing Xiao
http://arxiv.org/abs/2102.10905v1

• [cs.CL]Machine Translation Customization via Automatic Training Data Selection from the Web
Thuy Vu, Alessandro Moschitti
http://arxiv.org/abs/2102.10243v1

• [cs.CL]Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation
Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun
http://arxiv.org/abs/2102.10780v1

• [cs.CL]Multilingual Answer Sentence Reranking via Automatically Translated Data
Thuy Vu, Alessandro Moschitti
http://arxiv.org/abs/2102.10250v1

• [cs.CL]NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu
Johar Shabbir, Muhammad Umair Arshad, Waseem Shahzad
http://arxiv.org/abs/2102.10410v1

• [cs.CL]Position Information in Transformers: An Overview
Philipp Dufter, Martin Schmitt, Hinrich Schütze
http://arxiv.org/abs/2102.11090v1

• [cs.CL]Pre-Training BERT on Arabic Tweets: Practical Considerations
Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, Kareem Darwish, Younes Samih
http://arxiv.org/abs/2102.10684v1

• [cs.CL]Pruning the Index Contents for Memory Efficient Open-Domain QA
Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz
http://arxiv.org/abs/2102.10697v1

• [cs.CL]ReINTEL Challenge 2020: Exploiting Transfer Learning Modelsfor Reliable Intelligence Identification on Vietnamese Social Network Sites
Kim Thi-Thanh Nguyen, Kiet Nguyen Van
http://arxiv.org/abs/2102.10794v1

• [cs.CL]Subword Pooling Makes a Difference
Judit Ács, Ákos Kádár, András Kornai
http://arxiv.org/abs/2102.10864v1

• [cs.CL]Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach
Haoming Jiang, Bo Dai, Mengjiao Yang, Wei Wei, Tuo Zhao
http://arxiv.org/abs/2102.10242v1

• [cs.CL]Understanding and Enhancing the Use of Context for Machine Translation
Marzieh Fadaee
http://arxiv.org/abs/2102.10437v1

• [cs.CL]User Factor Adaptation for User Embedding via Multitask Learning
Xiaolei Huang, Michael J. Paul, Robin Burke, Franck Dernoncourt, Mark Dredze
http://arxiv.org/abs/2102.11103v1

• [cs.CL]Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks
Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang
http://arxiv.org/abs/2102.10934v1

• [cs.CL]Web-based Application for Detecting Indonesian Clickbait Headlines using IndoBERT
Muhammad Noor Fakhruzzaman, Sie Wildan Gunawan
http://arxiv.org/abs/2102.10601v1

• [cs.CR]WaNet — Imperceptible Warping-based Backdoor Attack
Anh Nguyen, Anh Tran
http://arxiv.org/abs/2102.10369v1

• [cs.CR]When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System
Bowen Zhao, Ximeng Liu, Wei-neng Chen
http://arxiv.org/abs/2102.10109v1

• [cs.CV]A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Chen Li, Xintong Li, Md Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek
http://arxiv.org/abs/2102.10553v1

• [cs.CV]A Deep Decomposition Network for Image Processing: A Case Study for Visible and Infrared Image Fusion
Yu Fu, Xiao-Jun Wu, Josef Kittler
http://arxiv.org/abs/2102.10526v1

• [cs.CV]A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images
Fubao Zhu, Zhengyuan Gao, Chen Zhao, Hanlei Zhu, Yong Dong, Jingfeng Jiang, Neng Dai, Weihua Zhou
http://arxiv.org/abs/2102.10480v1

• [cs.CV]A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification
Yixin Li, Xinran Wu, Chen Li, Changhao Sun, Md Rahaman, Yudong Yao, Xiaoyan Li, Yong Zhang, Tao Jiang
http://arxiv.org/abs/2102.10499v1

• [cs.CV]Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems
Clément Playout, Ola Ahmad, Freddy Lecue, Farida Cheriet
http://arxiv.org/abs/2102.10191v1

• [cs.CV]Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
Lei Ding, Hao Tang, Yahui Liu, Yilei Shi, Lorenzo Bruzzone
http://arxiv.org/abs/2102.11262v1

• [cs.CV]Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
http://arxiv.org/abs/2102.10365v1

• [cs.CV]Approximation of dilation-based spatial relations to add structural constraints in neural networks
Mateus Riva, Pietro Gori, Florian Yger, Roberto Cesar, Isabelle Bloch
http://arxiv.org/abs/2102.10923v1

• [cs.CV]Attention Models for Point Clouds in Deep Learning: A Survey
Xu Wang, Yi Jin, Yigang Cen, Tao Wang, Yidong Li
http://arxiv.org/abs/2102.10788v1

• [cs.CV]CSTR: A Classification Perspective on Scene Text Recognition
Hongxiang Cai, Jun Sun, Yichao Xiong
http://arxiv.org/abs/2102.10884v1

• [cs.CV]Camera Calibration with Pose Guidance
Yuzhuo Ren, Feng Hu
http://arxiv.org/abs/2102.10202v1

• [cs.CV]CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images
Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O’Donnell, Wojciech Chrzanowski, Weidong Cai
http://arxiv.org/abs/2102.10377v1

• [cs.CV]CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
Soham Gadgil, Mark Endo, Emily Wen, Andrew Y. Ng, Pranav Rajpurkar
http://arxiv.org/abs/2102.10484v1

• [cs.CV]Concealed Object Detection
Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao
http://arxiv.org/abs/2102.10274v1

• [cs.CV]Contour Loss for Instance Segmentation via k-step Distance Transformation Image
Xiaolong Guo, Xiaosong Lan, Kunfeng Wang, Shuxiao Li
http://arxiv.org/abs/2102.10854v1

• [cs.CV]Contrastive Self-supervised Neural Architecture Search
Nam Nguyen, J. Morris Chang
http://arxiv.org/abs/2102.10557v1

• [cs.CV]Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search
Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang
http://arxiv.org/abs/2102.10795v1

• [cs.CV]Deep Learning for Robust Motion Segmentation with Non-Static Cameras
Markus Bosch
http://arxiv.org/abs/2102.10929v1

• [cs.CV]Deepfake Video Detection Using Convolutional Vision Transformer
Deressa Wodajo, Solomon Atnafu
http://arxiv.org/abs/2102.11126v1

• [cs.CV]Direct Estimation of Appearance Models for Segmentation
Jeova F. S. Rocha Neto, Pedro Felzenszwalb, Marilyn Vazquez
http://arxiv.org/abs/2102.11121v1

• [cs.CV]Do Generative Models Know Disentanglement? Contrastive Learning is All You Need
Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng
http://arxiv.org/abs/2102.10543v1

• [cs.CV]Do We Really Need Explicit Position Encodings for Vision Transformers?
Xiangxiang Chu, Bo Zhang, Zhi Tian, Xiaolin Wei, Huaxia Xia
http://arxiv.org/abs/2102.10882v1

• [cs.CV]EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks
Zihan Li, Chen Li, Yudong Yao, Jinghua Zhang, Md Mamunur Rahaman, Hao Xu, Frank Kulwa, Bolin Lu, Xuemin Zhu, Tao Jiang
http://arxiv.org/abs/2102.10370v1

• [cs.CV]Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM
Zahidul Islam, Mohammad Rukonuzzaman, Raiyan Ahmed, Md. Hasanul Kabir, Moshiur Farazi
http://arxiv.org/abs/2102.10590v1

• [cs.CV]Escaping Poor Local Minima in Large Scale Robust Estimation
Huu Le, Christopher Zach
http://arxiv.org/abs/2102.10928v1

• [cs.CV]Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception
Alexander Hepburn, Raul Santos-Rodriguez
http://arxiv.org/abs/2102.10951v1

• [cs.CV]Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification
Shuvayan Ghosh Dastidar, Kalpita Dutta, Nibaran Das, Mahantapas Kundu, Mita Nasipuri
http://arxiv.org/abs/2102.10335v1

• [cs.CV]GMLight: Lighting Estimation via Geometric Distribution Approximation
Fangneng Zhan, Yingchen Yu, Rongliang Wu, Changgong Zhang, Shijian Lu, Ling Shao, Feiying Ma, Xuansong Xie
http://arxiv.org/abs/2102.10244v1

• [cs.CV]Generator Surgery for Compressed Sensing
Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand
http://arxiv.org/abs/2102.11163v1

• [cs.CV]Hard-Attention for Scalable Image Classification
Athanasios Papadopoulos, Paweł Korus, Nasir Memon
http://arxiv.org/abs/2102.10212v1

• [cs.CV]Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology
Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani
http://arxiv.org/abs/2102.11057v1

• [cs.CV]Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation
Sulabh Katiyar, Samir Kumar Borgohain
http://arxiv.org/abs/2102.11237v1

• [cs.CV]Image Classification using CNN for Traffic Signs in Pakistan
Abdul Azeem Sikander, Hamza Ali
http://arxiv.org/abs/2102.10130v1

• [cs.CV]Improving Action Quality Assessment using ResNets and Weighted Aggregation
Shafkat Farabi, Hasibul Haque Himel, Fakhruddin Gazzali, Bakhtiar Hasan, Md. Hasanul Kabir, Moshiur Farazi
http://arxiv.org/abs/2102.10555v1

• [cs.CV]Learning Compositional Representation for Few-shot Visual Question Answering
Dalu Guo, Dacheng Tao
http://arxiv.org/abs/2102.10575v1

• [cs.CV]Learning Deep Features for Shape Correspondence with Domain Invariance
Praful Agrawal, Ross T. Whitaker, Shireen Y. Elhabian
http://arxiv.org/abs/2102.10493v1

• [cs.CV]MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar
http://arxiv.org/abs/2102.10663v1

• [cs.CV]Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel
http://arxiv.org/abs/2102.10662v1

• [cs.CV]MetaDelta: A Meta-Learning System for Few-shot Image Classification
Yudong Chen, Chaoyu Guan, Zhikun Wei, Xin Wang, Wenwu Zhu
http://arxiv.org/abs/2102.10744v1

• [cs.CV]On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun, Alexander Kirillov, Saining Xie
http://arxiv.org/abs/2102.11273v1

• [cs.CV]PCB-Fire: Automated Classification and Fault Detection in PCB
Tejas Khare, Vaibhav Bahel, Anuradha C. Phadke
http://arxiv.org/abs/2102.10777v1

• [cs.CV]Person Re-identification based on Robust Features in Open-world
Yaguan Qian, Anlin Sun
http://arxiv.org/abs/2102.10798v1

• [cs.CV]Phase Space Reconstruction Network for Lane Intrusion Action Recognition
Ruiwen Zhang, Zhidong Deng, Hongsen Lin, Hongchao Lu
http://arxiv.org/abs/2102.11149v1

• [cs.CV]Post-hoc Overall Survival Time Prediction from Brain MRI
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
http://arxiv.org/abs/2102.10765v1

• [cs.CV]Probabilistic Vehicle Reconstruction Using a Multi-Task CNN
Max Coenen, Franz Rottensteiner
http://arxiv.org/abs/2102.10681v1

• [cs.CV]Progressive Depth Learning for Single Image Dehazing
Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Sanping Zhou, Wenqi Ren
http://arxiv.org/abs/2102.10514v1

• [cs.CV]Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng
http://arxiv.org/abs/2102.10544v1

• [cs.CV]SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences
Dennis Stumpf, Stephan Krauß, Gerd Reis, Oliver Wasenmüller, Didier Stricker
http://arxiv.org/abs/2102.10820v1

• [cs.CV]Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait
http://arxiv.org/abs/2102.10485v1

• [cs.CV]Self-Supervised Learning via multi-Transformation Classification for Action Recognition
Duc Quang Vu, Ngan T. H. Le, Jia-Ching Wang
http://arxiv.org/abs/2102.10378v1

• [cs.CV]Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran
http://arxiv.org/abs/2102.09895v2

• [cs.CV]Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
Tao Chen, Guosen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang
http://arxiv.org/abs/2102.10935v1

• [cs.CV]Style and Pose Control for Image Synthesis of Humans from a Single Monocular View
Kripasindhu Sarkar, Vladislav Golyanik, Lingjie Liu, Christian Theobalt
http://arxiv.org/abs/2102.11263v1

• [cs.CV]Subspace-Based Feature Fusion From Hyperspectral And Multispectral Image For Land Cover Classification
Juan Ramírez, Héctor Vargas, José Ignacio Martínez, Henry Arguello
http://arxiv.org/abs/2102.11228v1

• [cs.CV]Three dimensional unique identifier based automated georeferencing and coregistration of point clouds in underground environment
Sarvesh Kumar Singh, Bikram Pratap Banerjee, Simit Raval
http://arxiv.org/abs/2102.10731v1

• [cs.CV]Towards Accurate and Compact Architectures via Neural Architecture Transformer
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang
http://arxiv.org/abs/2102.10301v1

• [cs.CV]Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization
Sivaramakrishnan Rajaraman, Les Folio, Jane Dimperio, Philip Alderson, Sameer Antani
http://arxiv.org/abs/2102.10607v1

• [cs.CV]Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
http://arxiv.org/abs/2102.10680v1

• [cs.CV]Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer
Ronghang Hu, Amanpreet Singh
http://arxiv.org/abs/2102.10772v1

• [cs.CV]Unsupervised Medical Image Alignment with Curriculum Learning
Mihail Burduja, Radu Tudor Ionescu
http://arxiv.org/abs/2102.10438v1

• [cs.CV]VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining
Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny
http://arxiv.org/abs/2102.10407v1

• [cs.CV]Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
Xuehao Liu, Sarah Jane Delany, Susan McKeever
http://arxiv.org/abs/2102.11132v1

• [cs.CY]AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment
Shadi Ghafghazi, Amarie Carnett, Leslie Neely, Arun Das, Paul Rad
http://arxiv.org/abs/2102.10635v1

• [cs.CY]Abstracting data in distributed ledger systems for higher level analytics and visualizations
Leny Vinceslas, Hirsh Pithadia, Safak Dogan, Srikumar Sundareshwar, Ahmet M. Kondoz
http://arxiv.org/abs/2102.10133v1

• [cs.CY]An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality: the effects of delay and task type on everyday prospective memory
Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson
http://arxiv.org/abs/2102.10448v1

• [cs.CY]Effect of Cloud Based Learning Management System on The Learning Management System Implementation Process: Faculty and Student Perspectives
Ajayi Ekuase-Anwansedo, Akai Smith
http://arxiv.org/abs/2102.10522v1

• [cs.CY]Everything is Relative: Understanding Fairness with Optimal Transport
Kweku Kwegyir-Aggrey, Rebecca Santorella, Sarah M. Brown
http://arxiv.org/abs/2102.10349v1

• [cs.CY]Exploring the dynamics of protest against National Register of Citizens & Citizenship Amendment Act through online social media: the Indian experience
Souvik Roy, Milan Mukherjee, Priyadarsini Sinha, Sukanta Das, Subhasis Bandopadhyay, Abhik Mukherjee
http://arxiv.org/abs/2102.10531v1

• [cs.CY]Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments
Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin
http://arxiv.org/abs/2102.10468v1

• [cs.CY]How to Survive a Learning Management System (LMS) Implementation? A Stakeholder Analysis Approach
Ajayi Ekuase-Anwansedo, Susannah F. Craig, Jose Noguera
http://arxiv.org/abs/2102.10521v1

• [cs.CY]Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions
Duilio Balsamo, Paolo Bajardi, Alberto Salomone, Rossano Schifanella
http://arxiv.org/abs/2102.11235v1

• [cs.CY]Transitioning from Blackboard to Moodle amidst Natural Disaster: Faculty and Students Perceptions
Ajayi Ekuase-Anwansedo, Jose Noguera, Brandon Dumas
http://arxiv.org/abs/2102.10523v1

• [cs.DC]A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems
Radu Dogaru, Ioana Dogaru
http://arxiv.org/abs/2102.10340v1

• [cs.DC]ALTO: Adaptive Linearized Storage of Sparse Tensors
Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa Ranadive, Fabrizio Petrini, Jeewhan Choi
http://arxiv.org/abs/2102.10245v1

• [cs.DC]BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics
Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
http://arxiv.org/abs/2102.10837v1

• [cs.DC]Byzantine Agreement with Unknown Participants and Failures
Pankaj Khanchandani, Roger Wattenhofer
http://arxiv.org/abs/2102.10442v1

• [cs.DC]Characterizing and Optimizing EDA Flows for the Cloud
Abdelrahman Hosny, Sherief Reda
http://arxiv.org/abs/2102.10800v1

• [cs.DC]CoinTossX: An open-source low-latency high-throughput matching engine
Ivan Jericevich, Dharmesh Sing, Tim Gebbie
http://arxiv.org/abs/2102.10925v1

• [cs.DC]Reading from External Memory
Ruslan Savchenko
http://arxiv.org/abs/2102.11198v1

• [cs.DC]Stability and Resilience of Distributed Information Spreading in Aggregate Computing
Yuanqiu Mo, Soura Dasgupta, Jacob Beal
http://arxiv.org/abs/2102.10319v1

• [cs.DC]Tame the Wild with Byzantine Linearizability: Reliable Broadcast, Snapshots, and Asset Transfer
Shir Cohen, Idit Keidar
http://arxiv.org/abs/2102.10597v1

• [cs.DL]How are journals cited? characterizing journal citations by type of citation
Domenic Rosati
http://arxiv.org/abs/2102.11043v1

• [cs.DS]A High-dimensional Sparse Fourier Transform in the Continuous Setting
Liang Chen
http://arxiv.org/abs/2102.10939v1

• [cs.DS]Approximating the Log-Partition Function
Romain Cosson, Devavrat Shah
http://arxiv.org/abs/2102.10196v1

• [cs.DS]Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning
Yu Zhu, Boning Li, Santiago Segarra
http://arxiv.org/abs/2102.10169v1

• [cs.FL]Les claviers, un modèle de calcul
Yoan Géran, Bastien Laboureix, Corto Mascle, Valentin Richard
http://arxiv.org/abs/2102.10182v1

• [cs.HC]Towards Teachable Conversational Agents
Nalin Chhibber, Edith Law
http://arxiv.org/abs/2102.10387v1

• [cs.IR]A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search
Yijiang Lian, Yubo Liu, Zhicong Ye, Liang Yuan, Yanfeng Zhu, Min Zhao, Jianyi Cheng, Xinwei Feng
http://arxiv.org/abs/2102.10560v1

• [cs.IR]EXTRA: Explanation Ranking Datasets for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
http://arxiv.org/abs/2102.10315v1

• [cs.IR]Entities of Interest
David Graus
http://arxiv.org/abs/2102.10962v1

• [cs.IR]Factor-level Attentive ICF for Recommendation
Zhiyong Cheng, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie
http://arxiv.org/abs/2102.10745v1

• [cs.IR]Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network
Zhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui, Yong Li
http://arxiv.org/abs/2102.10550v1

• [cs.IR]Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang
http://arxiv.org/abs/2102.11127v1

• [cs.IR]UPRec: User-Aware Pre-training for Recommender Systems
Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin
http://arxiv.org/abs/2102.10989v1

• [cs.IT]A Direct Construction of Complete Complementary Codes With Arbitrary Lengths
Palash Sarkar, Zilong Liu, Sudhan Majhi
http://arxiv.org/abs/2102.10517v1

• [cs.IT]Analyzing Cross Validation In Compressed Sensing With Mixed Gaussian And Impulse Measurement Noise With L1 Errors
Chinmay Gurjarpadhye, Shubhang Bhatnagar, Ajit Rajwade
http://arxiv.org/abs/2102.10165v1

• [cs.IT]Anchor-Assisted Channel Estimation for Intelligent Reflecting Surface Aided Multiuser Communication
Xinrong Guan, Qingqing Wu, Rui Zhang
http://arxiv.org/abs/2102.10886v1

• [cs.IT]Belief-Propagation Decoding of LDPC Codes with Variable Node-Centric Dynamic Schedules
Tofar C. -Y. Chang, Pin-Han Wang, Jian-Jia Weng, I-Hsiang Lee, Yu T. Su
http://arxiv.org/abs/2102.11089v1

• [cs.IT]CSIT-Free Federated Edge Learning via Reconfigurable Intelligent Surface
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
http://arxiv.org/abs/2102.10749v1

• [cs.IT]Channel Estimation and Data Decoding Analysis of Massive MIMO with 1-Bit ADCs
Italo Atzeni, Antti Tölli
http://arxiv.org/abs/2102.10172v1

• [cs.IT]Deep Learning Based Frequency-Selective Channel Estimation for Hybrid mmWave MIMO Systems
Asmaa Abdallah, Abdulkadir Celik, Mohammad M. Mansour, Ahmed M. Eltawil
http://arxiv.org/abs/2102.10847v1

• [cs.IT]Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction
Nof Abuzainab, Muhammad Alrabeiah, Ahmed Alkhateeb, Yalin E. Sagduyu
http://arxiv.org/abs/2102.11222v1

• [cs.IT]Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV
Qianqian Zhang, Aidin Ferdowsi, Walid Saad
http://arxiv.org/abs/2102.10836v1

• [cs.IT]Efficient Numerical Methods for Secrecy Capacity of Gaussian MIMO Wiretap Channel
Anshu Mukherjee, Björn Ottersten, Le Nam Tran
http://arxiv.org/abs/2102.10396v1

• [cs.IT]Energy-Efficient Precoding for Multi-User Visible Light Communication with Confidential Messages
Son T. Duong, Thanh V. Pham, Chuyen T. Nguyen, Anh T. Pham
http://arxiv.org/abs/2102.10822v1

• [cs.IT]Fast and Sample-Efficient Federated Low Rank Matrix Recovery from Column-wise Linear and Quadratic Projections
Seyedehsara Nayer, Namrata Vaswani
http://arxiv.org/abs/2102.10217v1

• [cs.IT]Generalized Non-adaptive Group Testing
Xiwei Cheng, Sidharth Jaggi, Qiaoqiao Zhou
http://arxiv.org/abs/2102.10256v1

• [cs.IT]Information Bottleneck for a Rayleigh Fading MIMO Channel with an Oblivious Relay
Hao Xu, Tianyu Yang, Giuseppe Caire, Shlomo Shamai
http://arxiv.org/abs/2102.10675v1

• [cs.IT]Information Decoding and SDR Implementation of DFRC Systems Without Training Signals
Daniel Wong, Batu K. Chalise, Justin Metcalf, Moeness Amin
http://arxiv.org/abs/2102.10488v1

• [cs.IT]Joint Estimation of Multipath Angles and Delays for Millimeter-Wave Cylindrical Arrays with Hybrid Front-ends
Zhipeng Lin, Tiejun Lv, Wei Ni, J. Andrew Zhang, Jie Zeng, Ren Ping Liu
http://arxiv.org/abs/2102.10746v1

• [cs.IT]Massive Random Access with Sporadic Short Packets: Joint Active User Detection and Channel Estimation via Sequential Message Passing
Jia-Cheng Jiang, Hui-Ming Wang
http://arxiv.org/abs/2102.10779v1

• [cs.IT]Millimeter-wave and Terahertz Spectrum for 6G Wireless
Shuchi Tripathi, Nithin V. Sabu, Abhishek K. Gupta, Harpreet S. Dhillon
http://arxiv.org/abs/2102.10267v1

• [cs.IT]Mobility-Aware Routing and Caching: A Federated Learning Assisted Approach
Yuwen Cao, Setareh Maghsudi, Tomoaki Ohtsuki
http://arxiv.org/abs/2102.10743v1

• [cs.IT]Nested Array-Based Spatially Coupled LDPC Codes
Salman Habib, David G. M. Mitchell, Joerg Kliewer
http://arxiv.org/abs/2102.10623v1

• [cs.IT]On Gradient Coding with Partial Recovery
Sahasrajit Sarmasarkar, V. Lalitha, Nikhil Karamchandani
http://arxiv.org/abs/2102.10163v1

• [cs.IT]Performance Prediction Recipes for Optical Links
Erik Agrell, Marco Secondini, Alex Alvarado, Tsuyoshi Yoshida
http://arxiv.org/abs/2102.10139v1

• [cs.IT]Polar-Coded Non-Coherent Communication
Peihong Yuan, Mustafa Cemil Coşkun, Gerhard Kramer
http://arxiv.org/abs/2102.10719v1

• [cs.IT]Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments
Sina Rezaei Aghdam, Ehsan Amid, Marija Furdek, Alexandre Graell i Amat
http://arxiv.org/abs/2102.10639v1

• [cs.IT]Residual-Aided End-to-End Learning of Communication System without Known Channel
Hao Jiang, Shuangkaisheng Bi, Linglong Dai
http://arxiv.org/abs/2102.10786v1

• [cs.IT]Symbol-Level Synchronisation Channel Modelling With Real-World Application: From Davey-Mackay, Fritchman to Markov
Shamin Achari, Daniel Glenn Holmes, Ling Cheng
http://arxiv.org/abs/2102.10215v1

• [cs.LG]A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization
Filip de Roos, Carl Jidling, Adrian Wills, Thomas Schön, Philipp Hennig
http://arxiv.org/abs/2102.10880v1

• [cs.LG]A Theory of Label Propagation for Subpopulation Shift
Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei
http://arxiv.org/abs/2102.11203v1

• [cs.LG]A theory of capacity and sparse neural encoding
Pierre Baldi, Roman Vershynin
http://arxiv.org/abs/2102.10148v1

• [cs.LG]An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks
Amir Yazdanbakhsh, Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami
http://arxiv.org/abs/2102.10423v1

• [cs.LG]Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients
Chenglin Pan, Kuan Yan, Xiao Liu, Yanjie Chen, Yanyan Luo, Xiaoming Li, Zhenguo Nie, Xinjun Liu
http://arxiv.org/abs/2102.10284v1

• [cs.LG]BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
Huanrui Yang, Lin Duan, Yiran Chen, Hai Li
http://arxiv.org/abs/2102.10462v1

• [cs.LG]Causal Policy Gradients
Thomas Spooner, Nelson Vadori, Sumitra Ganesh
http://arxiv.org/abs/2102.10362v1

• [cs.LG]Clustering Algorithm to Detect Adversaries in Federated Learning
Krishna Yadav, B. B Gupta
http://arxiv.org/abs/2102.10799v1

• [cs.LG]Communication Efficient Parallel Reinforcement Learning
Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal
http://arxiv.org/abs/2102.10740v1

• [cs.LG]Conditional Adversarial Networks for Multi-Domain Text Classification
Yuan Wu, Diana Inkpen, Ahmed El-Roby
http://arxiv.org/abs/2102.10176v1

• [cs.LG]Coping with Mistreatment in Fair Algorithms
Ankit Kulshrestha, Ilya Safro
http://arxiv.org/abs/2102.10750v1

• [cs.LG]Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
http://arxiv.org/abs/2102.10616v1

• [cs.LG]Decaying Clipping Range in Proximal Policy Optimization
Mónika Farsang, Luca Szegletes
http://arxiv.org/abs/2102.10456v1

• [cs.LG]Decoupling Value and Policy for Generalization in Reinforcement Learning
Roberta Raileanu, Rob Fergus
http://arxiv.org/abs/2102.10330v1

• [cs.LG]Deep Kalman Filter: A Refinement Module for the Rollout Trajectory Prediction Methods
Qifan Xue, Xuanpeng Li, Jingwen Zhao, Weigong Zhang
http://arxiv.org/abs/2102.10859v1

• [cs.LG]Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
Animesh Tiwari, Rishabh Gupta, Rohitash Chandra
http://arxiv.org/abs/2102.10551v1

• [cs.LG]Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
http://arxiv.org/abs/2102.10802v1

• [cs.LG]Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
http://arxiv.org/abs/2102.10739v1

• [cs.LG]Elastic Similarity Measures for Multivariate Time Series Classification
Ahmed Shifaz, Charlotte Pelletier, Francois Petitjean, Geoffrey I. Webb
http://arxiv.org/abs/2102.10231v1

• [cs.LG]Empirical Sufficiency Featuring Reward Delay Calibration
Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue
http://arxiv.org/abs/2102.10527v1

• [cs.LG]End-to-end neural network approach to 3D reservoir simulation and adaptation
E. Illarionov, P. Temirchev, D. Voloskov, R. Kostoev, M. Simonov, D. Pissarenko, D. Orlov, D. Koroteev
http://arxiv.org/abs/2102.10304v1

• [cs.LG]Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
http://arxiv.org/abs/2102.11055v1

• [cs.LG]Expanding boundaries of Gap Safe screening
Cassio Dantas, Emmanuel Soubies, Cédric Févotte
http://arxiv.org/abs/2102.10846v1

• [cs.LG]Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu
http://arxiv.org/abs/2102.11165v1

• [cs.LG]GIST: Distributed Training for Large-Scale Graph Convolutional Networks
Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
http://arxiv.org/abs/2102.10424v1

• [cs.LG]GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
Vijay Lingam, Arun Iyer, Rahul Ragesh
http://arxiv.org/abs/2102.10403v1

• [cs.LG]Going Far Boosts Attack Transferability, but Do Not Do It
Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
http://arxiv.org/abs/2102.10343v1

• [cs.LG]GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement
Tao Yang, Xuanchi Ren, Yuwang Wang, Wenjun Zeng, Nanning Zheng, Pengju Ren
http://arxiv.org/abs/2102.10303v1

• [cs.LG]Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment
Mónika Farsang, Luca Szegletes
http://arxiv.org/abs/2102.10447v1

• [cs.LG]Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning
Lanqing Li, Yuanhao Huang, Dijun Luo
http://arxiv.org/abs/2102.10774v1

• [cs.LG]Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
http://arxiv.org/abs/2102.11086v1

• [cs.LG]Improving Uncertainty Calibration via Prior Augmented Data
Jeffrey Willette, Juho Lee, Sung Ju Hwang
http://arxiv.org/abs/2102.10803v1

• [cs.LG]Interpret-able feedback for AutoML systems
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
http://arxiv.org/abs/2102.11267v1

• [cs.LG]Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
Matej Zečević, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
http://arxiv.org/abs/2102.10440v1

• [cs.LG]Learning Contact Dynamics using Physically Structured Neural Networks
Andreas Hochlehnert, Alexander Terenin, Steindór Sæmundsson, Marc Peter Deisenroth
http://arxiv.org/abs/2102.11206v1

• [cs.LG]Learning Neural Generative Dynamics for Molecular Conformation Generation
Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
http://arxiv.org/abs/2102.10240v1

• [cs.LG]Learning Neural Network Subspaces
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
http://arxiv.org/abs/2102.10472v1

• [cs.LG]Learning Purified Feature Representations from Task-irrelevant Labels
Yinghui Li, Ruiyang Liu, Chen Wang, Li Yangning, Ning Ding, Hai-Tao Zheng
http://arxiv.org/abs/2102.10955v1

• [cs.LG]Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks
Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
http://arxiv.org/abs/2102.10863v1

• [cs.LG]Linear Classifiers in Mixed Constant Curvature Spaces
Puoya Tabaghi, Eli Chien, Chao Pan, Olgica Milenković
http://arxiv.org/abs/2102.10204v1

• [cs.LG]Linear Transformers Are Secretly Fast Weight Memory Systems
Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber
http://arxiv.org/abs/2102.11174v1

• [cs.LG]Linear unit-tests for invariance discovery
Benjamin Aubin, Agnieszka Słowik, Martin Arjovsky, Leon Bottou, David Lopez-Paz
http://arxiv.org/abs/2102.10867v1

• [cs.LG]Localized Calibration: Metrics and Recalibration
Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon
http://arxiv.org/abs/2102.10809v1

• [cs.LG]LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You, Yong Liu, Mingsheng Long, Jianmin Wang
http://arxiv.org/abs/2102.11005v1

• [cs.LG]Logarithmic Regret in Feature-based Dynamic Pricing
Jianyu Xu, Yu-xiang Wang
http://arxiv.org/abs/2102.10221v1

• [cs.LG]Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang
http://arxiv.org/abs/2102.11068v1

• [cs.LG]MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks
Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha
http://arxiv.org/abs/2102.10435v1

• [cs.LG]Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang, Robin Walters, Rose Yu
http://arxiv.org/abs/2102.10271v1

• [cs.LG]Modeling Multi-Destination Trips with Sketch-Based Model
Michał Daniluk, Barbara Rychalska, Konrad Gołuchowski, Jacek Dąbrowski
http://arxiv.org/abs/2102.11252v1

• [cs.LG]Multiple Kernel-Based Online Federated Learning
Jeongmin Chae, Songnam Hong
http://arxiv.org/abs/2102.10861v1

• [cs.LG]NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
Jonas Zehnder, Yue Li, Stelian Coros, Bernhard Thomaszewski
http://arxiv.org/abs/2102.10782v1

• [cs.LG]Necessary and sufficient conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
http://arxiv.org/abs/2102.10324v1

• [cs.LG]Neural Delay Differential Equations
Qunxi Zhu, Yao Guo, Wei Lin
http://arxiv.org/abs/2102.10801v1

• [cs.LG]Neural Pharmacodynamic State Space Modeling
Zeshan Hussain, Rahul G. Krishnan, David Sontag
http://arxiv.org/abs/2102.11218v1

• [cs.LG]Non-Convex Optimization with Spectral Radius Regularization
Adam Sandler, Diego Klabjan, Yuan Luo
http://arxiv.org/abs/2102.11210v1

• [cs.LG]Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders
Oskar Allerbo, Rebecka Jörnsten
http://arxiv.org/abs/2102.10873v1

• [cs.LG]Nonparametric adaptive active learning under local smoothness condition
Boris Ndjia Njike, Xavier Siebert
http://arxiv.org/abs/2102.11077v1

• [cs.LG]On Calibration and Out-of-domain Generalization
Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
http://arxiv.org/abs/2102.10395v1

• [cs.LG]On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
http://arxiv.org/abs/2102.10454v1

• [cs.LG]On Proximal Policy Optimization’s Heavy-tailed Gradients
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar
http://arxiv.org/abs/2102.10264v1

• [cs.LG]On Single-User Interactive Beam Alignment in Next Generation Systems: A Deep Learning Viewpoint
Abbas Khalili, Sundeep Rangan, Elza Erkip
http://arxiv.org/abs/2102.10229v1

• [cs.LG]On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues
http://arxiv.org/abs/2102.11062v1

• [cs.LG]On the robustness of randomized classifiers to adversarial examples
Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
http://arxiv.org/abs/2102.10875v1

• [cs.LG]Optimism is All You Need: Model-Based Imitation Learning From Observation Alone
Rahul Kidambi, Jonathan Chang, Wen Sun
http://arxiv.org/abs/2102.10769v1

• [cs.LG]Persistence Homology for Link Prediction: An Interactive View
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
http://arxiv.org/abs/2102.10255v1

• [cs.LG]Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case
Adam Dahlgren Lindström, Suna Bensch, Johanna Björklund, Frank Drewes
http://arxiv.org/abs/2102.11115v1

• [cs.LG]Reinforcement Learning with Prototypical Representations
Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
http://arxiv.org/abs/2102.11271v1

• [cs.LG]Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks
Ginevra Carbone, Guido Sanguinetti, Luca Bortolussi
http://arxiv.org/abs/2102.11010v1

• [cs.LG]Retrain or not retrain: Conformal test martingales for change-point detection
Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman
http://arxiv.org/abs/2102.10439v1

• [cs.LG]Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
http://arxiv.org/abs/2102.10960v1

• [cs.LG]SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
http://arxiv.org/abs/2102.11075v1

• [cs.LG]SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks
Haimin Zhang, Min Xu
http://arxiv.org/abs/2102.10338v1

• [cs.LG]Safe Reinforcement Learning Using Robust Action Governor
Yutong Li, Nan Li, H. Eric Tseng, Anouck Girard, Dimitar Filev, Ilya Kolmanovsky
http://arxiv.org/abs/2102.10643v1

• [cs.LG]Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie, Zhao Xu, Zhengyang Wang, Shuiwang Ji
http://arxiv.org/abs/2102.10757v1

• [cs.LG]Shapley values for feature selection: The good, the bad, and the axioms
Daniel Fryer, Inga Strümke, Hien Nguyen
http://arxiv.org/abs/2102.10936v1

• [cs.LG]Sign-regularized Multi-task Learning
Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina Abad
http://arxiv.org/abs/2102.11191v1

• [cs.LG]Slowly Varying Regression under Sparsity
Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Linghzi Li, Omar Skali Lami
http://arxiv.org/abs/2102.10773v1

• [cs.LG]Softmax Policy Gradient Methods Can Take Exponential Time to Converge
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
http://arxiv.org/abs/2102.11270v1

• [cs.LG]Super-Convergence with an Unstable Learning Rate
Samet Oymak
http://arxiv.org/abs/2102.10734v1

• [cs.LG]Sustainable Federated Learning
Basak Guler, Aylin Yener
http://arxiv.org/abs/2102.11274v1

• [cs.LG]Symbolic regression for scientific discovery: an application to wind speed forecasting
Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
http://arxiv.org/abs/2102.10570v1

• [cs.LG]Synthesizing Irreproducibility in Deep Networks
Robert R. Snapp, Gil I. Shamir
http://arxiv.org/abs/2102.10696v1

• [cs.LG]Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
http://arxiv.org/abs/2102.10496v1

• [cs.LG]The Effects of Image Distribution and Task on Adversarial Robustness
Owen Kunhardt, Arturo Deza, Tomaso Poggio
http://arxiv.org/abs/2102.10534v1

• [cs.LG]Thinking Deeply with Recurrence: Generalizing from Easy to Hard Sequential Reasoning Problems
Avi Schwarzschild, Arjun Gupta, Micah Goldblum, Tom Goldstein
http://arxiv.org/abs/2102.11011v1

• [cs.LG]Towards Causal Representation Learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
http://arxiv.org/abs/2102.11107v1

• [cs.LG]Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Zhiwei Steven Wu, Himabindu Lakkaraju
http://arxiv.org/abs/2102.10618v1

• [cs.LG]Tractable Computation of Expected Kernels by Circuits
Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck
http://arxiv.org/abs/2102.10562v1

• [cs.LG]Trumpets: Injective Flows for Inference and Inverse Problems
Konik Kothari, AmirEhsan Khorashadizadeh, Maarten de Hoop, Ivan Dokmanić
http://arxiv.org/abs/2102.10461v1

• [cs.LG]Unavailable Transit Feed Specification: Making it Available with Recurrent Neural Networks
Ludovico Iovino, Phuong T. Nguyen, Amleto Di Salle, Francesco Gallo, Michele Flammini
http://arxiv.org/abs/2102.10323v1

• [cs.LG]Unsupervised Meta Learning for One Shot Title Compression in Voice Commerce
Snehasish Mukherjee
http://arxiv.org/abs/2102.10760v1

• [cs.LG]Variational Data Assimilation with a Learned Inverse Observation Operator
Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
http://arxiv.org/abs/2102.11192v1

• [cs.LG]Weak NAS Predictors Are All You Need
Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan
http://arxiv.org/abs/2102.10490v1

• [cs.LG]nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series
Hadi Jahanshahi, Mustafa Gokce Baydogan
http://arxiv.org/abs/2102.10252v1

• [cs.LO]Relative Expressiveness of Defeasible Logics II
Michael J. Maher
http://arxiv.org/abs/2102.10532v1

• [cs.MA]Mastering Terra Mystica: Applying Self-Play to Multi-agent Cooperative Board Games
Luis Perez
http://arxiv.org/abs/2102.10540v1

• [cs.MM]Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots
Sean Butler
http://arxiv.org/abs/2102.10162v1

• [cs.NE]Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification
Naoya Muramatsu, Hai-Tao Yu
http://arxiv.org/abs/2102.10592v1

• [cs.NE]Elementary superexpressive activations
Dmitry Yarotsky
http://arxiv.org/abs/2102.10911v1

• [cs.NE]Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study
Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan
http://arxiv.org/abs/2102.11275v1

• [cs.NE]STDP enhances learning by backpropagation in a spiking neural network
Kotaro Furuya, Jun Ohkubo
http://arxiv.org/abs/2102.10530v1

• [cs.NI]Customized Slicing for 6G: Enforcing Artificial Intelligence on Resource Management
Wanqing Guan, Haijun Zhang, Victor C. M. Leung
http://arxiv.org/abs/2102.10498v1

• [cs.NI]Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR
Ursula Challita, David Sandberg
http://arxiv.org/abs/2102.11176v1

• [cs.RO]3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot
Hanlin Niu, Ze Ji, Zihang Zhu, Hujun Yin, Joaquin Carrasco
http://arxiv.org/abs/2102.10710v1

• [cs.RO]Autonomous Obstacle Avoidance by Learning Policies for Reference Modification
Benjamin Evans, Hendrik W. Jordaan, Herman A. Engelbrecht
http://arxiv.org/abs/2102.11042v1

• [cs.RO]DROID: Minimizing the Reality Gap usingSingle-Shot Human Demonstration
Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang
http://arxiv.org/abs/2102.11003v1

• [cs.RO]Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions
Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquin Carrasco
http://arxiv.org/abs/2102.10709v1

• [cs.RO]Digger Finger: GelSight Tactile Sensor for Object Identification Inside Granular Media
Radhen Patel, Rui Ouyang, Branden Romero, Edward Adelson
http://arxiv.org/abs/2102.10230v1

• [cs.RO]HAIR: Head-mounted AR Intention Recognition
David Puljiz, Bowen Zhou, Ke Ma, Björn Hein
http://arxiv.org/abs/2102.11162v1

• [cs.RO]How To Train Your HERON
Antoine Richard, Stephanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cedric Pradalier
http://arxiv.org/abs/2102.10357v1

• [cs.RO]Imitation Learning for Variable Speed Object Manipulation
Sho Sakaino, Kazuki Fujimoto, Yuki Saigusa, Toshiaki Tsuji
http://arxiv.org/abs/2102.10283v1

• [cs.RO]Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation
Nikola Vulin, Sammy Christen, Stefan Stevsic, Otmar Hilliges
http://arxiv.org/abs/2102.11051v1

• [cs.RO]Mapping Surgeon’s Hand/Finger Motion During Conventional Microsurgery to Enhance Intuitive Surgical Robot Teleoperation
Mohammad Fattahi Sani, Raimondo Ascione, Sanja Dogramadzi
http://arxiv.org/abs/2102.10585v1

• [cs.RO]Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles
Michael Pantic, Lionel Ott, Cesar Cadena, Roland Siegwart, Juan Nieto
http://arxiv.org/abs/2102.10313v1

• [cs.RO]Point Cloud Subsampling Parallelization for Unified Memory Platforms
Martin Nievas, Claudio J. Paz, Gastón R. Araguás
http://arxiv.org/abs/2102.11084v1

• [cs.RO]Robotic Contact Juggling
J. Zachary Woodruff, Kevin M. Lynch
http://arxiv.org/abs/2102.10421v1

• [cs.RO]Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly
Bryce Doerr, Keenan Albee, Monica Ekal, Richard Linares, Rodrigo Ventura
http://arxiv.org/abs/2102.10348v1

• [cs.RO]Uncertainty-Aware Deep Learning for Autonomous Safe Landing Site Selection
Kento Tomita, Katherine A. Skinner, Koki Ho
http://arxiv.org/abs/2102.10545v1

• [cs.RO]Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator
David J. Yoon, Haowei Zhang, Mona Gridseth, Hugues Thomas, Timothy D. Barfoot
http://arxiv.org/abs/2102.11261v1

• [cs.RO]Zoomorphic Gestures for Communicating Cobot States
Vanessa Sauer, Axel Sauer, Alexander Mertens
http://arxiv.org/abs/2102.10825v1

• [cs.RO]ikd-Tree: An Incremental K-D Tree for Robotic Applications
Yixi Cai, Wei Xu, Fu Zhang
http://arxiv.org/abs/2102.10808v1

• [cs.SD]Anyone GAN Sing
Shreeviknesh Sankaran, Sukavanan Nanjundan, G. Paavai Anand
http://arxiv.org/abs/2102.11058v1

• [cs.SD]Learnable MFCCs for Speaker Verification
Xuechen Liu, Md Sahidullah, Tomi Kinnunen
http://arxiv.org/abs/2102.10322v1

• [cs.SE]A Projection-Stable Grammatical Model for the Distributed Execution of Administrative Processes with Emphasis on Actors’ Views
Milliam Maxime Zekeng Ndadji, Maurice Tchoupé Tchendji, Clémentin Tayou Djamegni, Didier Parigot
http://arxiv.org/abs/2102.10566v1

• [cs.SE]Automatic Programming Through Combinatorial Evolution
Sebastian Fix, Thomas Probst, Oliver Ruggli, Thomas Hanne, Patrik Christen
http://arxiv.org/abs/2102.10475v1

• [cs.SE]CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces
Rohan Sarkar, Avinash C. Kak
http://arxiv.org/abs/2102.10513v1

• [cs.SI]A novel method based on node correlation to evaluate the important nodes in complex networks
Pengli Lu, Chen Dong, Yuhong Guo
http://arxiv.org/abs/2102.10824v1

• [cs.SI]Agent-Based Campus Novel Coronavirus Infection and Control Simulation
Pei Lv, Quan Zhang, Boya Xu, Ran Feng, Chaochao Li, Junxiao Xue, Bing Zhou, Mingliang Xu
http://arxiv.org/abs/2102.10971v1

• [cs.SI]Changing Beliefs about Scientific Issues: The Role of Moral and Social Belief Networks
Jonas Dalege, Tamara van der Does
http://arxiv.org/abs/2102.10751v1

• [cs.SI]Hide and Seek: Outwitting Community Detection Algorithms
Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty
http://arxiv.org/abs/2102.10759v1

• [cs.SI]REMOD: Relation Extraction for Modeling Online Discourse
Matthew Sumpter, Giovanni Luca Ciampaglia
http://arxiv.org/abs/2102.11105v1

• [cs.SI]Social Diffusion Sources Can Escape Detection
Marcin Waniek, Manuel Cebrian, Petter Holme, Talal Rahwan
http://arxiv.org/abs/2102.10539v1

• [cs.SI]Social Networks Analysis to Retrieve Critical Comments on Online Platforms
Shova Bhandari, Rini Raju
http://arxiv.org/abs/2102.10495v1

• [cs.SI]The Moral Foundations of Left-Wing Authoritarianism: On the Character, Cohesion, and Clout of Tribal Equalitarian Discourse
Justin E. Lane, Kevin McCaffree, F. LeRon Shults
http://arxiv.org/abs/2102.11009v1

• [cs.SI]The Soccer Game, bit by bit: An information-theoretic analyis
Luis Ramada Pereira, Rui J. Lopes, Jorge Louçã, Duarte Araújo, João Ramos
http://arxiv.org/abs/2102.11182v1

• [cs.SI]WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic
Cheng Zhang, Yunze Pan, Yunqi Zhang, Adam C. Champion, Zhaohui Shen, Dong Xuan, Zhiqiang Lin, Ness B. Shroff
http://arxiv.org/abs/2102.11171v1

• [cs.SI]Weighted Graph Nodes Clustering via Gumbel Softmax
Deepak Bhaskar Acharya, Huaming Zhang
http://arxiv.org/abs/2102.10775v1

• [econ.EM]Approximate Bayes factors for unit root testing
Magris Martin, Iosifidis Alexandros
http://arxiv.org/abs/2102.10048v2

• [econ.EM]Estimation and Inference by Stochastic Optimization: Three Examples
Jean-Jacques Forneron, Serena Ng
http://arxiv.org/abs/2102.10443v1

• [eess.AS]“Am I A Good Therapist?” Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies
Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen, Karan Singla, Victor Ardulov, Raghuveer Peri, Derek D. Caperton, James Gibson, Michael J. Tanana, Panayiotis Georgiou, Jake Van Epps, Sarah P. Lord, Tad Hirsch, Zac E. Imel, David C. Atkins, Shrikanth Narayanan
http://arxiv.org/abs/2102.11265v1

• [eess.AS]The Use of Voice Source Features for Sung Speech Recognition
Gerardo Roa Dabike, Jon Barker
http://arxiv.org/abs/2102.10376v1

• [eess.IV]Classification of COVID-19 via Homology of CT-SCAN
Sohail Iqbal, H. Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir Rajpoot
http://arxiv.org/abs/2102.10593v1

• [eess.IV]Comparative Fault Location Estimation by Using Image Processing in Mixed Transmission Lines
Serkan Budak, Bahadir Akbal
http://arxiv.org/abs/2102.11085v1

• [eess.IV]Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation
Shaohua Zheng, Zhiqiang Shen, Chenhao Peia, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang
http://arxiv.org/abs/2102.10919v1

• [eess.IV]Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding
J. Zhang, Q. Dong, J. Shi, Q. Li, C. M. Stonnington, B. A. Gutman, K. Chen, E. M. Reiman, R. J. Caselli, P. M. Thompson, J. Ye, Y. Wang
http://arxiv.org/abs/2102.10503v1

• [eess.IV]RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection
Shunjie Dong, Qianqian Yang, Yu Fu, Mei Tian, Cheng Zhuo
http://arxiv.org/abs/2102.11099v1

• [eess.IV]Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images
Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt
http://arxiv.org/abs/2102.10446v1

• [eess.IV]Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution
Ahlad Kumar, Harsh Vardhan Singh
http://arxiv.org/abs/2102.10640v1

• [eess.SP]Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho
http://arxiv.org/abs/2102.10366v1

• [eess.SP]Determination of Fault Location in Transmission Lines with Image Processing and Artificial Neural Networks
Serkan Budak, Bahadir Akbal
http://arxiv.org/abs/2102.11073v1

• [eess.SP]Electromagnetic Model of Reflective Intelligent Surfaces
Filippo Costa, Michele Borgese
http://arxiv.org/abs/2102.10666v1

• [eess.SY]CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels
Yongqian Xiao, Xin Xu, QianLi Lin
http://arxiv.org/abs/2102.10205v1

• [eess.SY]Provably Correct Training of Neural Network Controllers Using Reachability Analysis
Xiaowu Sun, Yasser Shoukry
http://arxiv.org/abs/2102.10806v1

• [eess.SY]Reinforcement Learning of the Prediction Horizon in Model Predictive Control
Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen
http://arxiv.org/abs/2102.11122v1

• [eess.SY]Versatile and Robust Transient Stability Assessment via Instance Transfer Learning
Seyedali Meghdadi, Guido Tack, Ariel Liebman, Nicolas Langrené, Christoph Bergmeir
http://arxiv.org/abs/2102.10296v1

• [math.CO]New binary self-dual codes of lengths 56, 58, 64, 80 and 92 from a modification of the four circulant construction
Joe Gildea, Adrian Korban, Adam Michael Roberts
http://arxiv.org/abs/2102.10354v1

• [math.DG]A Sketching Method for Finding the Closest Point on a Convex Hull
Roozbeh Yousefzadeh
http://arxiv.org/abs/2102.10502v1

• [math.OC]A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
http://arxiv.org/abs/2102.10707v1

• [math.OC]Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang, Mert Gürbüzbalaban, Lingjiong Zhu, Umut Şimşekli, Murat A. Erdogdu
http://arxiv.org/abs/2102.10346v1

• [math.PR]Fractional generalized cumulative entropy and its dynamic version
Antonio Di Crescenzo, Suchandan Kayal, Alessandra Meoli
http://arxiv.org/abs/2102.10630v1

• [math.PR]Large-width functional asymptotics for deep Gaussian neural networks
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
http://arxiv.org/abs/2102.10307v1

• [math.PR]Mixed Generalized Fractional Brownian Motion
Ezzedine Mliki, Shaykhah Alajmi
http://arxiv.org/abs/2102.10166v1

• [math.PR]On the long range dependence of time-changed mixed fractional Brownian motion model
Ezzedine Mliki, Shaykhah Alajmi
http://arxiv.org/abs/2102.10180v1

• [math.ST]A Small-Uniform Statistic for the Inference of Functional Linear Regressions
Raymond C. W. Leung, Yu-Man Tam
http://arxiv.org/abs/2102.10724v1

• [math.ST]Adversarial robust weighted Huber regression
Takeyuki Sasai, Hironori Fujisawa
http://arxiv.org/abs/2102.11120v1

• [math.ST]Autocovariance Estimation in the Presence of Changepoints
Colin Gallagher, Rebeeca Killick, Robert Lund, Xueheng Shi
http://arxiv.org/abs/2102.10669v1

• [math.ST]Extension of Saaty’s inconsistency index to incomplete comparisons: Approximated thresholds
Kolos Csaba Ágoston, László Csató
http://arxiv.org/abs/2102.10558v1

• [math.ST]Large-scale simultaneous inference under dependence
Jinjin Tian, Xu Chen, Eugene Katsevich, Jelle Goeman, Aaditya Ramdas
http://arxiv.org/abs/2102.11253v1

• [math.ST]Spectral density of random graphs: convergence properties and application in model fitting
Suzana de Siqueira Santos, André Fujita, Catherine Matias
http://arxiv.org/abs/2102.11224v1

• [physics.flu-dyn]Learning Efficient Navigation in Vortical Flow Fields
Peter Gunnarson, Ioannis Mandralis, Guido Novati, Petros Koumoutsakos, John O. Dabiri
http://arxiv.org/abs/2102.10536v1

• [physics.med-ph]Quantitative photoacoustic oximetry imaging by multiple illumination learned spectral decoloring
Thomas Kirchner, Martin Frenz
http://arxiv.org/abs/2102.11201v1

• [physics.soc-ph]Flow approaches to community detection in complex network systems
Olexandr Polishchuk
http://arxiv.org/abs/2102.10790v1

• [q-bio.PE]Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities
Zhenyu Han, Fengli Xu, Yong Li, Tao Jiang, Depeng Jin, Jianhua Lu, James A. Evans
http://arxiv.org/abs/2102.10538v1

• [q-bio.PE]The spread of COVID-19 at Hot-Temperature Places With Different Curfew Situations Using Copula Models
Fadhah Amer Alanazi
http://arxiv.org/abs/2102.10265v1

• [quant-ph]-Symmetric Quantum State Discrimination for Attack on BB84 Quantum Key Distribution
Yaroslav Balytskyi, Manohar Raavi, Anatoliy Pinchuk, Sang-Yoon Chang
http://arxiv.org/abs/2102.10228v1

• [quant-ph]Efficient Learning of Non-Interacting Fermion Distributions
Scott Aaronson, Sabee Grewal
http://arxiv.org/abs/2102.10458v1

• [quant-ph]Hamiltonian-Driven Shadow Tomography of Quantum States
Hong-Ye Hu, Yi-Zhuang You
http://arxiv.org/abs/2102.10132v1

• [quant-ph]Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals
Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie
http://arxiv.org/abs/2102.10344v1

• [quant-ph]Kindergarden quantum mechanics graduates (…or how I learned to stop gluing LEGO together and love the ZX-calculus)
Bob Coecke, Dominic Horsman, Aleks Kissinger, Quanlong Wang
http://arxiv.org/abs/2102.10984v1

• [stat.AP]A Multivariate Methodology for Analysing Students’ Performance Using Register Data
Jeanett S. Pelck, Rafael Pimentel Maia, Hildete P. Pinheiro, Rodrigo Labouriau
http://arxiv.org/abs/2102.10565v1

• [stat.AP]Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?
Xiao Wu, Kate R. Weinberger, Gregory A. Wellenius, Francesca Dominici, Danielle Braun
http://arxiv.org/abs/2102
f9b
.10478v1
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.10478v1)

• [stat.AP]Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?
Xiao Wu, Kate R. Weinberger, Gregory A. Wellenius, Francesca Dominici, Danielle Braun
http://arxiv.org/abs/2102.10478v1

• [stat.AP]Bayesian Functional Registration of fMRI Data
Guoqing Wang, Abhirup Datta, Martin A. Lindquist
http://arxiv.org/abs/2102.10179v1

• [stat.AP]Estimating SARS-CoV-2 Infections from Deaths, Confirmed Cases, Tests, and Random Surveys
Nicholas J. Irons, Adrian E. Raftery
http://arxiv.org/abs/2102.10741v1

• [stat.AP]Fused Spatial Point Process IntensityEstimation on Complex Domains
Lihao Yin, Huiyan Sang
http://arxiv.org/abs/2102.11157v1

• [stat.AP]Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting
Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P Schnekenberg, Charles Whittaker, Michaela Vollmer, Seth Flaxman, Samir Bhatt, Thomas A Mellan
http://arxiv.org/abs/2102.11249v1

• [stat.AP]Impacts of Heat Decarbonisation on System Adequacy considering Increased Meteorological Sensitivity
Matthew Deakin, Hannah Bloomfield, David Greenwood, Sarah Sheehy, Sara Walker, Phil C. Taylor
http://arxiv.org/abs/2102.10391v1

• [stat.AP]Localizability with Range-Difference Measurements
Wu Junfeng, Mu Biqiang, Yi Xinlei, Wei Jieqiang, Johansson Karl Henrik
http://arxiv.org/abs/2102.10974v1

• [stat.AP]Modeling Chromate Removal Using Ion Exchangers in Drinking Water Applications
Fred Ghanem, Kirti M. Yenkie
http://arxiv.org/abs/2102.10753v1

• [stat.AP]Risk Based Arsenic Rational Sampling Design for Public and Environmental Health Management
Lihao Yin, uiyan Sang, Douglas J. Schnoebelen, Brian Wels, Don Simmons, Alyssa Mattson, Michael Schueller, Michael Pentelladan, Susie Y. Dai
http://arxiv.org/abs/2102.11118v1

• [stat.AP]Strata-based Quantification of Distributional Uncertainty in Socio-Economic Indicators: A Comparative Study of Indian States
Abhik Ghosh, Olivia Mallick, Souvik Chattopadhay, Banasri Basu
http://arxiv.org/abs/2102.10308v1

• [stat.CO]Inverse Gaussian Process regression for likelihood-free inference
Hongqiao Wang, Ziqiao Ao, Tengchao Yu, Jinglai Li
http://arxiv.org/abs/2102.10583v1

• [stat.ME]Accounting for recall bias in case-control studies: a causal inference approach
Kwonsang Lee, Francesca Dominici
http://arxiv.org/abs/2102.10537v1

• [stat.ME]Adaptive Importance Sampling for Efficient Stochastic Root Finding and Quantile Estimation
Shengyi He, Guangxin Jiang, Henry Lam, Michael C. Fu
http://arxiv.org/abs/2102.10631v1

• [stat.ME]Adaptive dose-response studies to establish proof-of-concept in learning-phase clinical trials
Shiyang Ma, Michael P. McDermott
http://arxiv.org/abs/2102.10434v1

• [stat.ME]Bi-factor and second-order copula models for item response data
Sayed H. Kadhem, Aristidis K. Nikoloulopoulos
http://arxiv.org/abs/2102.10660v1

• [stat.ME]Designing Experiments Informed by Observational Studies
Evan Rosenman, Art B. Owen
http://arxiv.org/abs/2102.10237v1

• [stat.ME]Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer’s Disease
Rahul Ghosal, Vijay R. Varma, Dmitri Volfson, Inbar Hillel, Jacek Urbanek, Jeffrey M. Hausdorff, Amber Watts, Vadim Zipunnikov
http://arxiv.org/abs/2102.10783v1

• [stat.ME]Estimating Sibling
1000
Spillover Effects with Unobserved Confounding Using Gain-Scores
David C. Mallinson, Felix Elwert
http://arxiv.org/abs/2102.11150v1

• [stat.ME]Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Block-Correlated Predictors
Jonathan Boss, Jyotishka Datta, Xin Wang, Sung Kyun Park, Jian Kang, Bhramar Mukherjee
http://arxiv.org/abs/2102.10670v1

• [stat.ME]Interactive identification of individuals with positive treatment effect while controlling false discoveries
Boyan Duan, Larry Wasserman, Aaditya Ramdas
http://arxiv.org/abs/2102.10778v1

• [stat.ME]Modelling Extremes of Spatial Aggregates of Precipitation using Conditional Methods
Jordan Richards, Jonathan A. Tawn, Simon Brown
http://arxiv.org/abs/2102.10906v1

• [stat.ME]Probabilistic Learning on Manifolds (PLoM) with Partition
Christian Soize, Roger Ghanem
http://arxiv.org/abs/2102.10894v1

• [stat.ME]Regression discontinuity design: estimating the treatment effect with standard parametric rate
Debarghya Mukherjee, Moulinath Banerjee, Ya’acov Ritov
http://arxiv.org/abs/2102.11229v1

• [stat.ME]Sequential Bayesian experimental design for estimation of extreme-event probability in stochastic dynamical systems
Xianliang Gong, Yulin Pan
http://arxiv.org/abs/2102.11108v1

• [stat.ME]Studentized Permutation Method for Comparing Restricted Mean Survival Times with Small Sample from Randomized Trials
Marc Ditzhaus, Menggang Yu, Jin Xu
http://arxiv.org/abs/2102.10186v1

• [stat.ME]The likelihood-ratio test for multi-edge network models
Giona Casiraghi
http://arxiv.org/abs/2102.11116v1

• [stat.ME]Truncated, Censored, and Actuarial Payment-type Moments for Robust Fitting of a Single-parameter Pareto Distribution
Chudamani Poudyal
http://arxiv.org/abs/2102.10154v1

• [stat.ME]Validating Conditional Density Models and Bayesian Inference Algorithms
David Zhao, Niccolo Dalmasso, Rafael Izbicki, Ann Lee
http://arxiv.org/abs/2102.10473v1

• [stat.ML]ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network
Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang
http://arxiv.org/abs/2102.10226v1

• [stat.ML]Adaptive Multi-View ICA: Estimation of noise levels for optimal inference
Hugo Richard, Pierre Ablin, Aapo Hyvärinen, Alexandre Gramfort, Bertrand Thirion
http://arxiv.org/abs/2102.10964v1

• [stat.ML]Debiased Kernel Methods
Rahul Singh
http://arxiv.org/abs/2102.11076v1

• [stat.ML]Deep ReLU Networks Preserve Expected Length
Boris Hanin, Ryan Jeong, David Rolnick
http://arxiv.org/abs/2102.10492v1

• [stat.ML]Divide-and-conquer methods for big data analysis
Xueying Chen, Jerry Q. Cheng, Min-ge Xie
http://arxiv.org/abs/2102.10771v1

• [stat.ML]Federated -Differential Privacy
Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su
http://arxiv.org/abs/2102.11158v1

• [stat.ML]Generalization bounds for graph convolutional neural networks via Rademacher complexity
Shaogao Lv
http://arxiv.org/abs/2102.10234v1

• [stat.ML]Inducing a hierarchy for multi-class classification problems
Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher White, Ali Geisa, Carey E. Priebe
http://arxiv.org/abs/2102.10263v1

• [stat.ML]Provably Strict Generalisation Benefit for Equivariant Models
Bryn Elesedy, Sheheryar Zaidi
http://arxiv.org/abs/2102.10333v1

• [stat.OT]A Note on Taylor’s Expansion and Mean Value Theorem With Respect to a Random Variable
Yifan Yang, Xiaoyu Zhou
http://arxiv.org/abs/2102.10429v1