cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 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.DG - 微分几何 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.NC - 神经元与认知 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.supr-con]Reservoir Computing with Superconducting Electronics
    • [cs.AI]Cost Optimal Planning as Satisfiability
    • [cs.AI]Design of an Affordable Prosthetic Arm Equipped with Deep Learning Vision-Based Manipulation
    • [cs.AI]Filter-Based Abstractions with Correctness Guarantees for Planning under Uncertainty
    • [cs.AI]Reinforcement Learning with External Knowledge by using Logical Neural Networks
    • [cs.AI]User Preferential Tour Recommendation Based on POI-Embedding Methods
    • [cs.AI]Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention
    • [cs.CE]IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
    • [cs.CL]A Data-Centric Framework for Composable NLP Workflows
    • [cs.CL]An Attention Based Neural Network for Code Switching Detection: English & Roman Urdu
    • [cs.CL]An Empirical Study of Compound PCFGs
    • [cs.CL]An End-to-End Network for Emotion-Cause Pair Extraction
    • [cs.CL]An Iterative Contextualization Algorithm with Second-Order Attention
    • [cs.CL]CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
    • [cs.CL]Combining Prediction and Interpretation in Decision Trees (PrInDT) — a Linguistic Example
    • [cs.CL]Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
    • [cs.CL]Detecting Extraneous Content in Podcasts
    • [cs.CL]Few-shot Learning for Slot Tagging with Attentive Relational Network
    • [cs.CL]Gradual Fine-Tuning for Low-Resource Domain Adaptation
    • [cs.CL]Lex2vec: making Explainable Word Embedding via Distant Supervision
    • [cs.CL]Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
    • [cs.CL]NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
    • [cs.CL]NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands
    • [cs.CL]OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Model
    • [cs.CL]Random Feature Attention
    • [cs.CL]Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
    • [cs.CR]Talaria: A Framework for Simulation of Permissioned Blockchains for Logistics and Beyond
    • [cs.CV]今日学术视野(2021.3.5) - 图1: Learnable Sparse Signal Superdensity for Guided Depth Estimation
    • [cs.CV]Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
    • [cs.CV]An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks
    • [cs.CV]Augmentation Strategies for Learning with Noisy Labels
    • [cs.CV]Bulk Production Augmentation Towards Explainable Melanoma Diagnosis
    • [cs.CV]CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
    • [cs.CV]Cooking Object’s State Identification Without Using Pretrained Model
    • [cs.CV]Cross-View Regularization for Domain Adaptive Panoptic Segmentation
    • [cs.CV]Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
    • [cs.CV]DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization
    • [cs.CV]DeepFake-o-meter: An Open Platform for DeepFake Detection
    • [cs.CV]Domain and View-point Agnostic Hand Action Recognition
    • [cs.CV]Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
    • [cs.CV]EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection
    • [cs.CV]EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
    • [cs.CV]EnD: Entangling and Disentangling deep representations for bias correction
    • [cs.CV]Energy-Based Learning for Scene Graph Generation
    • [cs.CV]Event-based Synthetic Aperture Imaging
    • [cs.CV]FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
    • [cs.CV]FSDR: Frequency Space Domain Randomization for Domain Generalization
    • [cs.CV]General Instance Distillation for Object Detection
    • [cs.CV]Group-wise Inhibition based Feature Regularization for Robust Classification
    • [cs.CV]HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
    • [cs.CV]House-GAN++: Generative Adversarial Layout Refinement Networks
    • [cs.CV]ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
    • [cs.CV]ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
    • [cs.CV]K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
    • [cs.CV]K-means Segmentation Based-on Lab Color Space for Embryo Egg Detection
    • [cs.CV]LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
    • [cs.CV]Material Measurement Units: Foundations Through a Survey
    • [cs.CV]Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
    • [cs.CV]MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
    • [cs.CV]Multi-attentional Deepfake Detection
    • [cs.CV]Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
    • [cs.CV]Neural 3D Video Synthesis
    • [cs.CV]Non-local Channel Aggregation Network for Single Image Rain Removal
    • [cs.CV]On the role of depth predictions for 3D human pose estimation
    • [cs.CV]OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
    • [cs.CV]PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics
    • [cs.CV]PML: Progressive Margin Loss for Long-tailed Age Classification
    • [cs.CV]Pseudo-labeling for Scalable 3D Object Detection
    • [cs.CV]Robust Place Recognition using an Imaging Lidar
    • [cs.CV]Self-Distribution Binary Neural Networks
    • [cs.CV]Self-supervised Pretraining of Visual Features in the Wild
    • [cs.CV]Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
    • [cs.CV]Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices
    • [cs.CV]Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition
    • [cs.CV]Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning
    • [cs.CV]Simulating time to event prediction with spatiotemporal echocardiography deep learning
    • [cs.CV]Sparsity Aware Normalization for GANs
    • [cs.CV]Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
    • [cs.CV]Task Aligned Generative Meta-learning for Zero-shot Learning
    • [cs.CV]Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
    • [cs.CV]Towards Open World Object Detection
    • [cs.CV]Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
    • [cs.CV]Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
    • [cs.CV]Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary
    • [cs.CV]Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification
    • [cs.CV]WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
    • [cs.CY]Convergence and Inequality in Research Globalization
    • [cs.CY]Personal Productivity and Well-being — Chapter 2 of the 2021 New Future of Work Report
    • [cs.DB]Technical Report on Data Integration and Preparation
    • [cs.DC]Capelin: Data-Driven Capacity Procurement for Cloud Datacenters using Portfolios of Scenarios — Extended Technical Report
    • [cs.DC]Distributed statistical inference with pyhf enabled through funcX
    • [cs.DC]Off-Chain Micropayment Pool for High-ThroughputBandwidth Sharing Rewards
    • [cs.DC]VELOC: VEry Low Overhead Checkpointing in the Age of Exascale
    • [cs.DS]Approximation Algorithms for Socially Fair Clustering
    • [cs.GR]Learning to Manipulate Amorphous Materials
    • [cs.GT]Information Discrepancy in Strategic Learning
    • [cs.HC]A Bounded Measure for Estimating the Benefit of Visualization: Case Studies and Empirical Evaluation
    • [cs.HC]Decision-makers Processing of AI Algorithmic Advice: Automation Bias versus Selective Adherence
    • [cs.HC]Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
    • [cs.HC]EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion
    • [cs.IR]Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
    • [cs.IR]High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems
    • [cs.IR]On Estimating Recommendation Evaluation Metrics under Sampling
    • [cs.IR]Simplified Data Wrangling with ir_datasets
    • [cs.IR]University of Copenhagen Participation in TREC Health Misinformation Track 2020
    • [cs.IR]Weakly-Supervised Open-Retrieval Conversational Question Answering
    • [cs.IT]A Bounded Measure for Estimating the Benefit of Visualization: Theoretical Discourse and Conceptual Evaluation
    • [cs.IT]A Study of the Separating Property in Reed-Solomon Codes by Bounding the Minimum Distance
    • [cs.IT]Application of NOMA in 6G Networks: Future Vision and Research Opportunities for Next Generation Multiple Access
    • [cs.IT]Computing Sum of Sources over a Classical-Quantum MAC
    • [cs.IT]Design and Analysis of Delayed Bit-Interleaved Coded Modulation with LDPC Codes
    • [cs.IT]Dynamic Offloading Design in Time-Varying Mobile Edge Networks with Deep Reinforcement Learning Approach
    • [cs.IT]Multi-cell NOMA: Coherent Reconfigurable Intelligent Surfaces Model With Stochastic Geometry
    • [cs.IT]On Opportunistic Selection of Common Randomness and LLR generation for Algebraic Group Secret-Key Generation
    • [cs.IT]Periodic Updates for Constrained OCO with Application to Large-Scale Multi-Antenna Systems
    • [cs.IT]Propagation Measurements and Path Loss Models for sub-THz in Urban Microcells
    • [cs.IT]QoS-Driven Resource Optimization for Intelligent Fog Radio Access Network: A Dynamic Power Allocation Perspective
    • [cs.IT]Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
    • [cs.IT]Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
    • [cs.IT]Terahertz-Band MIMO-NOMA: Adaptive Superposition Coding and Subspace Detection
    • [cs.IT]The Ultimate Weapon for Ultra-Broadband 6G: Digital Beamforming and Doubly Massive mmWave MIMO
    • [cs.IT]Universal interactive Gaussian quantization with side information
    • [cs.LG]A Deep and Wide Neural Network-based Model for Rajasthan Summer Monsoon Rainfall (RSMR) Prediction
    • [cs.LG]A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data
    • [cs.LG]A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness
    • [cs.LG]Addressing Action Oscillations through Learning Policy Inertia
    • [cs.LG]Adversarial Environment Generation for Learning to Navigate the Web
    • [cs.LG]Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning
    • [cs.LG]Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
    • [cs.LG]Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
    • [cs.LG]D’ya like DAGs? A Survey on Structure Learning and Causal Discovery
    • [cs.LG]DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
    • [cs.LG]Deep Learning for Virus-Spreading Forecasting: a Brief Survey
    • [cs.LG]Differentiable Neural Architecture Learning for Efficient Neural Network Design
    • [cs.LG]Domain Generalization: A Survey
    • [cs.LG]Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
    • [cs.LG]Fairness and Robustness of Contrasting Explanations
    • [cs.LG]Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
    • [cs.LG]Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
    • [cs.LG]Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
    • [cs.LG]Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea
    • [cs.LG]Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
    • [cs.LG]LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes
    • [cs.LG]Land Cover Mapping in Limited Labels Scenario: A Survey
    • [cs.LG]Meta-Learning with Variational Bayes
    • [cs.LG]Minimax Model Learning
    • [cs.LG]Minimum-Distortion Embedding
    • [cs.LG]Multi-task Learning by Leveraging the Semantic Information
    • [cs.LG]On the effectiveness of adversarial training against common corruptions
    • [cs.LG]Online Adversarial Attacks
    • [cs.LG]PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
    • [cs.LG]Parametric Complexity Bounds for Approximating PDEs with Neural Networks
    • [cs.LG]Predicting Driver Fatigue in Automated Driving with Explainability
    • [cs.LG]Regularizing towards Causal Invariance: Linear Models with Proxies
    • [cs.LG]Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG
    • [cs.LG]Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
    • [cs.LG]Two-Stage Framework for Seasonal Time Series Forecasting
    • [cs.LG]Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making
    • [cs.LG]Variance Reduction in Training Forecasting Models with Subgroup Sampling
    • [cs.MA]Inference-Based Deterministic Messaging For Multi-Agent Communication
    • [cs.NE]A continuous-state cellular automata algorithm for global optimization
    • [cs.NE]Surrogate-assisted cooperative signal optimization for large-scale traffic networks
    • [cs.RO]A 3D Printing Hexacopter: Design and Demonstration
    • [cs.RO]A Human-Centered Dynamic Scheduling Architecture for Collaborative Application
    • [cs.RO]Advancing Mixture Models for Least Squares Optimization
    • [cs.RO]Cellular Formation Maintenance and Collision Avoidance Using Centroid-Based Point Set Registration in a Swarm of Drones
    • [cs.RO]Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach
    • [cs.RO]Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
    • [cs.RO]Inertial based Integration with Transformed INS Mechanization in Earth Frame
    • [cs.RO]Learning to Fly — a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
    • [cs.RO]Obstacle Avoidance onboard MAVs using a FMCW RADAR
    • [cs.RO]RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
    • [cs.RO]Reinforcement Learning Control of a Forestry Crane Manipulator
    • [cs.RO]Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee
    • [cs.RO]Semantic constraints to represent common sense required in household actions for multi-modal Learning-from-observation robot
    • [cs.RO]Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
    • [cs.SD]Continuous Speech Separation with Ad Hoc Microphone Arrays
    • [cs.SD]Multi-view Audio and Music Classification
    • [cs.SE]A Fault Localization and Debugging Support Framework driven by Bug Tracking Data
    • [cs.SE]Automatically detecting the conflicts between software requirements based on finer semantic analysis
    • [cs.SE]Root cause prediction based on bug reports
    • [cs.SI]COVID-19 vaccination strategies on dynamic networks
    • [cs.SI]Estimating the Expected Influence Capacities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model
    • [cs.SI]Extracting Complements and Substitutes from Sales Data: A Network Perspective
    • [cs.SI]Graph and Network Theory for the analysis of Criminal Networks
    • [cs.SI]Modularity and Mutual Information in Networks: Two Sides of the Same Coin
    • [cs.SI]Multi-Task Representation Learning with Multi-View Graph Convolutional Networks
    • [cs.SI]Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection
    • [econ.EM]Minimax MSE Bounds and Nonlinear VAR Prewhitening for Long-Run Variance Estimation Under Nonstationarity
    • [eess.AS]Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network
    • [eess.IV]Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
    • [eess.IV]Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
    • [eess.IV]Real-World Single Image Super-Resolution: A Brief Review
    • [eess.SP]Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network
    • [eess.SP]Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
    • [eess.SP]Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks
    • [eess.SP]Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems
    • [eess.SY]Computation Resource Allocation Solution in Recommender Systems
    • [eess.SY]Constraint Control of a Boom Crane System
    • [eess.SY]Modeling and control of 5-DoF boom crane
    • [eess.SY]Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks
    • [eess.SY]Oscillation Reduction for Knuckle Cranes
    • [math.DG]On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
    • [math.OC]Stochastic Cutting Planes for Data-Driven Optimization
    • [math.PR]Continuous scaled phase-type distributions
    • [math.PR]Departure-based Asymptotic Stochastic Order for Random Processes
    • [math.PR]On Information (pseudo) Metric
    • [math.ST]Asymptotic approximation of the likelihood of stationary determinantal point processes
    • [math.ST]Detecting Outliers in High-dimensional Data with Mixed Variable Types using Conditional Gaussian Regression Models
    • [math.ST]Incidence geometry in the projective plane via almost-principal minors of symmetric matrices
    • [q-bio.NC]Deep Recurrent Encoder: A scalable end-to-end network to model brain signals
    • [q-bio.NC]On Information Links
    • [q-bio.NC]To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data
    • [quant-ph]Quantum Network Discrimination
    • [stat.AP]The `how’ matters: A simulation-based assessment of the potential contributions of LFD tests for school reopening in England
    • [stat.ME]A Comparison of Likelihood-Free Methods With and Without Summary Statistics
    • [stat.ME]Discussion of ‘Estimating time-varying causal excursion effect in mobile health with binary outcomes’ by T. Qian et al
    • [stat.ME]Dynamic estimation with random forests for discrete-time survival data
    • [stat.ME]Estimation of Dirichlet distribution parameters with bias-reducing adjusted score functions
    • [stat.ME]Multiple imputation with missing data indicators
    • [stat.ME]Product Partition Dynamic Generalized Linear Models
    • [stat.ME]Ridge-penalized adaptive Mantel test and its application in imaging genetics
    • [stat.ME]Robust Estimation of Loss Models for Lognormal Insurance Payment Severity Data
    • [stat.ML]Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
    • [stat.ML]Learning Proposals for Probabilistic Programs with Inference Combinators
    • [stat.ML]Parsimonious Inference
    • [stat.ML]Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

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

    • [cond-mat.supr-con]Reservoir Computing with Superconducting Electronics
    Graham E. Rowlands, Minh-Hai Nguyen, Guilhem J. Ribeill, Andrew P. Wagner, Luke C. G. Govia, Wendson A. S. Barbosa, Daniel J. Gauthier, Thomas A. Ohki
    http://arxiv.org/abs/2103.02522v1

    • [cs.AI]Cost Optimal Planning as Satisfiability
    Mohammad Abdulaziz
    http://arxiv.org/abs/2103.02355v1

    • [cs.AI]Design of an Affordable Prosthetic Arm Equipped with Deep Learning Vision-Based Manipulation
    Alishba Imran, William Escobar, Freidoon Barez
    http://arxiv.org/abs/2103.02099v1

    • [cs.AI]Filter-Based Abstractions with Correctness Guarantees for Planning under Uncertainty
    Thom S. Badings, Nils Jansen, Hasan A. Poonawala, Marielle Stoelinga
    http://arxiv.org/abs/2103.02398v1

    • [cs.AI]Reinforcement Learning with External Knowledge by using Logical Neural Networks
    Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray
    http://arxiv.org/abs/2103.02363v1

    • [cs.AI]User Preferential Tour Recommendation Based on POI-Embedding Methods
    Ngai Lam Ho, Kwan Hui Lim
    http://arxiv.org/abs/2103.02464v1

    • [cs.AI]Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention
    Ting Wu, Junjie Peng, Wenqiang Zhang, Huiran Zhang, Chuanshuai Ma, Yansong Huang
    http://arxiv.org/abs/2103.02362v1

    • [cs.CE]IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
    Jun Wang, Wei Chen, Mark Fuge, Rahul Rai
    http://arxiv.org/abs/2103.02588v1

    • [cs.CL]A Data-Centric Framework for Composable NLP Workflows
    Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu
    http://arxiv.org/abs/2103.01834v2

    • [cs.CL]An Attention Based Neural Network for Code Switching Detection: English & Roman Urdu
    Aizaz Hussain, Muhammad Umair Arshad
    http://arxiv.org/abs/2103.02252v1

    • [cs.CL]An Empirical Study of Compound PCFGs
    Yanpeng Zhao, Ivan Titov
    http://arxiv.org/abs/2103.02298v1

    • [cs.CL]An End-to-End Network for Emotion-Cause Pair Extraction
    Aaditya Singh, Shreeshail Hingane, Saim Wani, Ashutosh Modi
    http://arxiv.org/abs/2103.01544v2

    • [cs.CL]An Iterative Contextualization Algorithm with Second-Order Attention
    Diego Maupomé, Marie-Jean Meurs
    http://arxiv.org/abs/2103.02190v1

    • [cs.CL]CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
    Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao
    http://arxiv.org/abs/2103.02141v1

    • [cs.CL]Combining Prediction and Interpretation in Decision Trees (PrInDT) — a Linguistic Example
    Claus Weihs, Sarah Buschfeld
    http://arxiv.org/abs/2103.02336v1

    • [cs.CL]Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
    Ao Zhang, Kun Wu, Lijie Wang, Zhenghua Li, Xinyan Xiao, Hua Wu, Min Zhang, Haifeng Wang
    http://arxiv.org/abs/2103.02227v1

    • [cs.CL]Detecting Extraneous Content in Podcasts
    Sravana Reddy, Yongze Yu, Aasish Pappu, Aswin Sivaraman, Rezvaneh Rezapour, Rosie Jones
    http://arxiv.org/abs/2103.02585v1

    • [cs.CL]Few-shot Learning for Slot Tagging with Attentive Relational Network
    Cennet Oguz, Ngoc Thang Vu
    http://arxiv.org/abs/2103.02333v1

    • [cs.CL]Gradual Fine-Tuning for Low-Resource Domain Adaptation
    Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, Kenton Murray
    http://arxiv.org/abs/2103.02205v1

    • [cs.CL]Lex2vec: making Explainable Word Embedding via Distant Supervision
    Fabio Celli
    http://arxiv.org/abs/2103.02269v1

    • [cs.CL]Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
    Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
    http://arxiv.org/abs/2103.02262v1

    • [cs.CL]NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
    Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu
    http://arxiv.org/abs/2103.02548v1

    • [cs.CL]NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands
    Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White
    http://arxiv.org/abs/2103.02523v1

    • [cs.CL]OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Model
    Xiao Liu, Da Yin, Xingjian Zhang, Kai Su, Kan Wu, Hongxia Yang, Jie Tang
    http://arxiv.org/abs/2103.02410v1

    • [cs.CL]Random Feature Attention
    Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
    http://arxiv.org/abs/2103.02143v1

    • [cs.CL]Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
    Haoran Xu, Philipp Koehn
    http://arxiv.org/abs/2103.02212v1

    • [cs.CR]Talaria: A Framework for Simulation of Permissioned Blockchains for Logistics and Beyond
    Jiali Xing, David Fischer, Nitya Labh, Ryan Piersma, Benjamin C. Lee, Yu Amy Xia, Tuhin Sahai, Vahid Tarokh
    http://arxiv.org/abs/2103.02260v1

    • [cs.CV]今日学术视野(2021.3.5) - 图2: Learnable Sparse Signal Superdensity for Guided Depth Estimation
    Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu
    http://arxiv.org/abs/2103.02396v1

    • [cs.CV]Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
    Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou
    http://arxiv.org/abs/2103.02193v1

    • [cs.CV]An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks
    Shiqing Fan, Ye Luo
    http://arxiv.org/abs/2103.02096v1

    • [cs.CV]Augmentation Strategies for Learning with Noisy Labels
    Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer
    http://arxiv.org/abs/2103.02130v1

    • [cs.CV]Bulk Production Augmentation Towards Explainable Melanoma Diagnosis
    Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi
    http://arxiv.org/abs/2103.02198v1

    • [cs.CV]CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
    Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
    http://arxiv.org/abs/2103.01977v1

    • [cs.CV]Cooking Object’s State Identification Without Using Pretrained Model
    Md Sadman Sakib
    http://arxiv.org/abs/2103.02305v1

    • [cs.CV]Cross-View Regularization for Domain Adaptive Panoptic Segmentation
    Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
    http://arxiv.org/abs/2103.02584v1

    • [cs.CV]Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
    Shiqing Fan, Ye Luo
    http://arxiv.org/abs/2103.02121v1

    • [cs.CV]DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization
    Javier Hernandez, Daniel McDuff, Ognjen, Rudovic, Alberto Fung, Mary Czerwinski
    http://arxiv.org/abs/2103.02484v1

    • [cs.CV]DeepFake-o-meter: An Open Platform for DeepFake Detection
    Yuezun Li, Cong Zhang, Pu Sun, Honggang Qi, Siwei Lyu
    http://arxiv.org/abs/2103.02018v1

    • [cs.CV]Domain and View-point Agnostic Hand Action Recognition
    Alberto Sabater, Iñigo Alonso, Luis Montesano, Ana C. Murillo
    http://arxiv.org/abs/2103.02303v1

    • [cs.CV]Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
    Hengli Wang, Rui Fan, Yuxiang Sun, Ming Liu
    http://arxiv.org/abs/2103.02433v1

    • [cs.CV]EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection
    Shivang Agarwal, C. Ravindranath Chowdary, Vivek Sourabh
    http://arxiv.org/abs/2103.02207v1

    • [cs.CV]EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
    Yecheng Lyu, Xinming Huang, Ziming Zhang
    http://arxiv.org/abs/2103.02517v1

    • [cs.CV]EnD: Entangling and Disentangling deep representations for bias correction
    Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
    http://arxiv.org/abs/2103.02023v1

    • [cs.CV]Energy-Based Learning for Scene Graph Generation
    Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gerard Medioni, Leonid Sigal
    http://arxiv.org/abs/2103.02221v1

    • [cs.CV]Event-based Synthetic Aperture Imaging
    Xiang Zhang, Liao Wei, Lei Yu, Wen Yang, Gui-Song Xia
    http://arxiv.org/abs/2103.02376v1

    • [cs.CV]FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
    Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, Jian Sun
    http://arxiv.org/abs/2103.02242v1

    • [cs.CV]FSDR: Frequency Space Domain Randomization for Domain Generalization
    Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
    http://arxiv.org/abs/2103.02370v1

    • [cs.CV]General Instance Distillation for Object Detection
    Xing Dai, Zeren Jiang, Zhao Wu, Yiping Bao, Zhicheng Wang, Si Liu, Erjin Zhou
    http://arxiv.org/abs/2103.02340v1

    • [cs.CV]Group-wise Inhibition based Feature Regularization for Robust Classification
    Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen
    http://arxiv.org/abs/2103.02152v1

    • [cs.CV]HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
    Konrad Heidler, Lichao Mou, Celia Baumhoer, Andreas Dietz, Xiao Xiang Zhu
    http://arxiv.org/abs/2103.0
    6d2c
    1849v1
    6d2c
    1849v1)

    • [cs.CV]House-GAN++: Generative Adversarial Layout Refinement Networks
    Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa
    http://arxiv.org/abs/2103.02574v1

    • [cs.CV]ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
    Cher Bass, Mariana da Silva, Carole Sudre, Logan Z. J. Williams, Petru-Daniel Tudosiu, Fidel Alfaro-Almagro, Sean P. Fitzgibbon, Matthew F. Glasser, Stephen M. Smith, Emma C. Robinson
    http://arxiv.org/abs/2103.02561v1

    • [cs.CV]ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
    Mingyu Yin, Li Sun, Qingli Li
    http://arxiv.org/abs/2103.02264v1

    • [cs.CV]K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
    Yeji Choi, Hyunjung Park, Gi Pyo Nam, Haksub Kim, Heeseung Choi, Junghyun Cho, Ig-Jae Kim
    http://arxiv.org/abs/2103.02211v1

    • [cs.CV]K-means Segmentation Based-on Lab Color Space for Embryo Egg Detection
    Shoffan Saifullah
    http://arxiv.org/abs/2103.02288v1

    • [cs.CV]LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
    Fabian Duerr, Mario Pfaller, Hendrik Weigel, Juergen Beyerer
    http://arxiv.org/abs/2103.02263v1

    • [cs.CV]Material Measurement Units: Foundations Through a Survey
    Federico Zocco, Seán McLoone
    http://arxiv.org/abs/2103.01997v1

    • [cs.CV]Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
    Markus Horn, Ole Schumann, Markus Hahn, Jürgen Dickmann, Klaus Dietmayer
    http://arxiv.org/abs/2103.02278v1

    • [cs.CV]MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
    Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wan
    http://arxiv.org/abs/2103.02243v1

    • [cs.CV]Multi-attentional Deepfake Detection
    Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu
    http://arxiv.org/abs/2103.02406v1

    • [cs.CV]Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
    Hemang Chawla, Arnav Varma, Elahe Arani, Bahram Zonooz
    http://arxiv.org/abs/2103.02451v1

    • [cs.CV]Neural 3D Video Synthesis
    Tianye Li, Mira Slavcheva, Michael Zollhoefer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Zhaoyang Lv
    http://arxiv.org/abs/2103.02597v1

    • [cs.CV]Non-local Channel Aggregation Network for Single Image Rain Removal
    Zhipeng Su, Yixiong Zhang, Xiao-Ping Zhang, Feng Qi
    http://arxiv.org/abs/2103.02488v1

    • [cs.CV]On the role of depth predictions for 3D human pose estimation
    Alec Diaz-Arias, Mitchell Messmore, Dmitriy Shin, Stephen Baek
    http://arxiv.org/abs/2103.02521v1

    • [cs.CV]OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
    Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi
    http://arxiv.org/abs/2103.02440v1

    • [cs.CV]PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics
    Nati Daniel, Ariel Larey, Eliel Aknin, Garrett A. Osswald, Julie M. Caldwell, Mark Rochman, Margaret H. Collins, Guang-Yu Yang, Nicoleta C. Arva, Kelley E. Capocelli, Marc E. Rothenberg, Yonatan Savir
    http://arxiv.org/abs/2103.02015v1

    • [cs.CV]PML: Progressive Margin Loss for Long-tailed Age Classification
    Zongyong Deng, Hao Liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, Xuehong Sun
    http://arxiv.org/abs/2103.02140v1

    • [cs.CV]Pseudo-labeling for Scalable 3D Object Detection
    Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens
    http://arxiv.org/abs/2103.02093v1

    • [cs.CV]Robust Place Recognition using an Imaging Lidar
    Tixiao Shan, Brendan Englot, Fabio Duarte, Carlo Ratti, Daniela Rus
    http://arxiv.org/abs/2103.02111v1

    • [cs.CV]Self-Distribution Binary Neural Networks
    Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
    http://arxiv.org/abs/2103.02394v1

    • [cs.CV]Self-supervised Pretraining of Visual Features in the Wild
    Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski
    http://arxiv.org/abs/2103.01988v1

    • [cs.CV]Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
    Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou
    http://arxiv.org/abs/2103.02155v1

    • [cs.CV]Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices
    Mihnea-Alexandru Tomită, Mubariz Zaffar, Michael Milford, Klaus McDonald-Maier, Shoaib Ehsan
    http://arxiv.org/abs/2103.01994v1

    • [cs.CV]Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition
    Marvin Chancán, Michael Milford
    http://arxiv.org/abs/2103.02074v1

    • [cs.CV]Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning
    Ruizhen Hu, Bin Chen, Juzhan Xu, Oliver van Kaick, Oliver Deussen, Hui Huang
    http://arxiv.org/abs/2103.02380v1

    • [cs.CV]Simulating time to event prediction with spatiotemporal echocardiography deep learning
    Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Kate M. Callon, Michelle C. Li, Jeffrey Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger
    http://arxiv.org/abs/2103.02583v1

    • [cs.CV]Sparsity Aware Normalization for GANs
    Idan Kligvasser, Tomer Michaeli
    http://arxiv.org/abs/2103.02458v1

    • [cs.CV]Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
    Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
    http://arxiv.org/abs/2103.02535v1

    • [cs.CV]Task Aligned Generative Meta-learning for Zero-shot Learning
    Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
    http://arxiv.org/abs/2103.02185v1

    • [cs.CV]Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
    Zhaoqun Li, Xu Liang, Dandan Fan, Jinxing Li, Wei Jia, David Zhang
    http://arxiv.org/abs/2103.02167v1

    • [cs.CV]Towards Open World Object Detection
    K J Joseph, Salman Khan, Fahad Shahbaz Khan, Vineeth N Balasubramanian
    http://arxiv.org/abs/2103.02603v1

    • [cs.CV]Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
    Suman Sedai, Bhavna Antony, Ravneet Rai, Katie Jones, Hiroshi Ishikawa, Joel Schuman, Wollstein Gadi, Rahil Garnavi
    http://arxiv.org/abs/2103.02083v1

    • [cs.CV]Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
    Ping Gong, Wenwen Yu, Qiuwen Sun, Ruohan Zhao, Junfeng Hu
    http://arxiv.org/abs/2103.02220v1

    • [cs.CV]Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary
    Jongmin Yu, Hyeontaek Oh
    http://arxiv.org/abs/2103.02250v1

    • [cs.CV]Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification
    Saman Motamed, Farzad Khalvati
    http://arxiv.org/abs/2103.02496v1

    • [cs.CV]WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
    Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
    http://arxiv.org/abs/2103.01913v2

    • [cs.CY]Convergence and Inequality in Research Globalization
    Saurabh Mishra, Kuansan Wang
    http://arxiv.org/abs/2103.02052v1

    • [cs.CY]Personal Productivity and Well-being — Chapter 2 of the 2021 New Future of Work Report
    Jenna Butler, Mary Czerwinski, Shamsi Iqbal, Sonia Jaffe, Kate Nowak, Emily Peloquin, Longqi Yang
    http://arxiv.org/abs/2103.02524v1

    • [cs.DB]Technical Report on Data Integration and Preparation
    El Kindi Rezig, Michael Cafarella, Vijay Gadepally
    http://arxiv.org/abs/2103.01986v1

    • [cs.DC]Capelin: Data-Driven Capacity Procurement for Cloud Datacenters using Portfolios of Scenarios — Extended Technical Report
    Georgios Andreadis, Fabian Mastenbroek, Vincent van Beek, Alexandru Iosup
    http://arxiv.org/abs/2103.02060v1

    • [cs.DC]Distributed statistical inference with pyhf enabled through funcX
    Matthew Feickert, Lukas Heinrich, Giordon Stark, Ben Galewsky
    http://arxiv.org/abs/2103.02182v1

    • [cs.DC]Off-Chain Micropayment Pool for High-ThroughputBandwidth Sharing Rewards
    Jieyi Long, Ribao Wei
    http://arxiv.org/abs/2103.02160v1

    • [cs.DC]VELOC: VEry Low Overhead Checkpointing in the Age of Exascale
    Bogdan Nicolae, Adam Moody, Gregory Kosinovsky, Kathryn Mohror, Franck Cappello
    http://arxiv.org/abs/2103.02131v1

    • [cs.DS]Approximation Algorithms for Socially Fair Clustering
    Yury Makarychev, Ali Vakilian
    http://arxiv.org/abs/2103.02512v1

    • [cs.GR]Learning to Manipulate Amorphous Materials
    Yunbo Zhang, Wenhao Yu, C. Karen Liu, Charles C. Kemp, Greg Turk
    http://arxiv.org/abs/2103.02533v1

    • [cs.GT]Information Discrepancy in Strategic Learning
    Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
    http://arxiv.org/abs/2103.01028v2

    • [cs.HC]A Bounded Measure for Estimating the Benefit of Visualization: Case Studies and Empirical Evaluation
    Min Chen, Alfie Abdul-Rahman, Deborah Silver, Mateu Sbert
    http://arxiv.org/abs/2103.02502v1

    • [cs.HC]Decision-makers Processing of AI Algorithmic Advice: Automation Bias versus Selective Adherence
    Saar Alon-Barkat, Madalina Busuioc
    http://arxiv.org/abs/2103.02381v1

    • [cs.HC]Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
    Young-Eun Lee, Seong-Whan Lee
    http://arxiv.org/abs/2103.02197v1

    • [cs.HC]EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion
    A. Shahid, I. Raza, S. A. Hussain
    http://arxiv.org/abs/2103.02238v1

    • [cs.IR]Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
    Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia
    http://arxiv.org/abs/2103.02590v1

    • [cs.IR]High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems
    Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
    http://arxiv.org/abs/2103.00686v2

    • [cs.IR]On Estimating Recommendation Evaluation Metrics under Sampling
    Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu
    http://arxiv.org/abs/2103.01474v2

    • [cs.IR]Simplified Data Wrangling with ir_datasets
    Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
    http://arxiv.org/abs/2103.02280v1

    • [cs.IR]University of Copenhagen Participation in TREC Health Misinformation Track 2020
    Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
    http://arxiv.org/abs/2103.02462v1

    • [cs.IR]Weakly-Supervised Open-Retrieval Conversational Question Answering
    Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer
    http://arxiv.org/abs/2103.02537v1

    • [cs.IT]A Bounded Measure for Estimating the Benefit of Visualization: Theoretical Discourse and Conceptual Evaluation
    Min Chen, Mateu Sbert
    http://arxiv.org/abs/2103.02505v1

    • [cs.IT]A Study of the Separating Property in Reed-Solomon Codes by Bounding the Minimum Distance
    Marcel Fernandez, Jorge Urroz
    http://arxiv.org/abs/2103.02341v1

    • [cs.IT]Application of NOMA in 6G Networks: Future Vision and Research Opportunities for Next Generation Multiple Access
    Yuanwei Liu, Wenqiang Yi, Zhiguo Ding, Xiao Liu, Octavia Dobre, Naofal Al-Dhahir
    http://arxiv.org/abs/2103.02334v1

    • [cs.IT]Computing Sum of Sources over a Classical-Quantum MAC
    Touheed Anwar Atif, Arun Padakandla, S. Sandeep Pradhan
    http://arxiv.org/abs/2103.02082v1

    • [cs.IT]Design and Analysis of Delayed Bit-Interleaved Coded Modulation with LDPC Codes
    Yihuan Liao, Min Qiu, Jinhong Yuan
    http://arxiv.org/abs/2103.02105v1

    • [cs.IT]Dynamic Offloading Design in Time-Varying Mobile Edge Networks with Deep Reinforcement Learning Approach
    Liang Yu, Rui Wang, Minyan Shi, Jun Wu
    http://arxiv.org/abs/2103.02174v1

    • [cs.IT]Multi-cell NOMA: Coherent Reconfigurable Intelligent Surfaces Model With Stochastic Geometry
    Chao Zhang, Wenqiang Yi, Yuanwei Liu, Qiang Wang
    http://arxiv.org/abs/2103.02450v1

    • [cs.IT]On Opportunistic Selection of Common Randomness and LLR generation for Algebraic Group Secret-Key Generation
    Rohit Joshi, J. Harshan
    http://arxiv.org/abs/2103.02195v1

    • [cs.IT]Periodic Updates for Constrained OCO with Application to Large-Scale Multi-Antenna Systems
    Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau
    http://arxiv.org/abs/2103.02124v1

    • [cs.IT]Propagation Measurements and Path Loss Models for sub-THz in Urban Microcells
    Yunchou Xing, Theodore S. Rappaport
    http://arxiv.org/abs/2103.01151v2

    • [cs.IT]QoS-Driven Resource Optimization for Intelligent Fog Radio Access Network: A Dynamic Power Allocation Perspective
    Jun Yu, Rui Wang, Jun Wu
    http://arxiv.org/abs/2103.02134v1

    • [cs.IT]Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
    Dian Fan, Xiaojun Yuan, Ying-Jun Angela Zhang
    http://arxiv.org/abs/2103.02270v1

    • [cs.IT]Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
    Anwen Liao, Zhen Gao, Dongming Wang, Hua Wang, Hao Yin, Derrick Wing Kwan Ng, Mohamed-Slim Alouini
    http://arxiv.org/abs/2103.01829v2

    • [cs.IT]Terahertz-Band MIMO-NOMA: Adaptive Superposition Coding and Subspace Detection
    Hadi Sarieddeen, Asmaa Abdallah, Mohammad M. Mansour, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
    http://arxiv.org/abs/2103.02348v1

    • [cs.IT]The Ultimate Weapon for Ultra-Broadband 6G: Digital Beamforming and Doubly Massive mmWave MIMO
    Bengt Lindoff, Carmen D’Andrea, Stefano Buzzi, Markus Tormanen, Per-Olof Brandt
    http://arxiv.org/abs/2103.02286v1

    • [cs.IT]Universal interactive Gaussian quantization with side information
    Shubham Jha, Himanshu Tyagi
    http://arxiv.org/abs/2103.02335v1

    • [cs.LG]A Deep and Wide Neural Network-based Model for Rajasthan Summer Monsoon Rainfall (RSMR) Prediction
    Vikas Bajpai, Anukriti Bansal
    http://arxiv.org/abs/2103.02157v1

    • [cs.LG]A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data
    Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam Barnaghi
    http://arxiv.org/abs/2103.02349v1

    • [cs.LG]A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness
    Jacob Abernethy, Pranjal Awasthi, Satyen Kale
    http://arxiv.org/abs/2103.01276v2

    • [cs.LG]Addressing Action Oscillations through Learning Policy Inertia
    Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
    http://arxiv.org/abs/2103.02287v1

    • [cs.LG]Adversarial Environment Generation for Learning to Navigate the Web
    Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust
    http://arxiv.org/abs/2103.01991v1

    • [cs.LG]Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning
    Somesh Mohapatra, Joyce An, Rafael Gómez-Bombarelli
    http://arxiv.org/abs/2103.02565v1

    • [cs.LG]Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
    Sebastian U. Stich, Amirkeivan Mohtashami, Martin Jaggi
    http://arxiv.org/abs/2103.02351v1

    • [cs.LG]Cross-Gradient Aggregation for Decentralized Learning from Non-IID data
    Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
    http://arxiv.org/abs/2103.02051v1

    • [cs.LG]D’ya like DAGs? A Survey on Structure Learning and Causal Discovery
    Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
    http://arxiv.org/abs/2103.02582v1

    • [cs.LG]DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
    Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein
    http://arxiv.org/abs/2103.02079v1

    • [cs.LG]Deep Learning for Virus-Spreading Forecasting: a Brief Survey
    Federico Baldo, Lorenzo Dall’Olio, Mattia Ceccarelli, Riccardo Scheda, Michele Lombardi, Andrea Borghesi, Stefano Diciotti, Michela Milano
    http://arxiv.org/abs/2103.02346v1

    • [cs.LG]Differentiable Neural Architecture Learning for Efficient Neural Network Design
    Qingbei Guo, Xiao-Jun Wu, Josef Kittler, Zhiquan Feng
    http://arxiv.org/abs/2103.02126v1

    • [cs.LG]Domain Generalization: A Survey
    Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy
    http://arxiv.org/abs/2103.02503v1

    • [cs.LG]Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
    Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan Davidson
    http://arxiv.org/abs/2103.02164v1

    • [cs.LG]Fairness and Robustness of Contrasting Explanations
    André Artelt, Barbara Hammer
    http://arxiv.org/abs/2103.02354v1

    • [cs.LG]Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
    Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas
    http://arxiv.org/abs/2103.02013v1

    • [cs.LG]Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
    Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
    http://arxiv.org/abs/2103.02225v1

    • [cs.LG]Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
    Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
    http://arxiv.org/abs/2103.02200v1

    • [cs.LG]Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea
    Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
    http://arxiv.org/abs/2103.02598v1

    • [cs.LG]Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
    Indrajeet Y. Javeri, Mohammadhossein Toutiaee, Ismailcem B. Arpinar, Tom W. Miller, John A. Miller
    http://arxiv.org/abs/2103.01992v1

    • [cs.LG]LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes
    Pawan Goyal, Peter Benner
    http://arxiv.org/abs/2103.02249v1

    • [cs.LG]Land Cover Mapping in Limited Labels Scenario: A Survey
    Rahul Ghosh, Xiaowei Jia, Vipin Kumar
    http://arxiv.org/abs/2103.02429v1

    • [cs.LG]Meta-Learning with Variational Bayes
    Lucas D. Lingle
    http://arxiv.org/abs/2103.02265v1

    • [cs.LG]Minimax Model Learning
    Cameron Voloshin, Nan Jiang, Yisong Yue
    http://arxiv.org/abs/2103.02084v1

    • [cs.LG]Minimum-Distortion Embedding
    Akshay Agrawal, Alnur Ali, Stephen Boyd
    http://arxiv.org/abs/2103.02559v1

    • [cs.LG]Multi-task Learning by Leveraging the Semantic Information
    Fan Zhou, Brahim Chaib-draa, Boyu Wang
    http://arxiv.org/abs/2103.02546v1

    • [cs.LG]On the effectiveness of adversarial training against common corruptions
    Klim Kireev, Maksym Andriushchenko, Nicolas Flammarion
    http://arxiv.org/abs/2103.02325v1

    • [cs.LG]Online Adversarial Attacks
    Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
    http://arxiv.org/abs/2103.02014v1

    • [cs.LG]PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
    Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang
    http://arxiv.org/abs/2103.00368v2

    • [cs.LG]Parametric Complexity Bounds for Approximating PDEs with Neural Networks
    Tanya Marwah, Zachary C. Lipton, Andrej Risteski
    http://arxiv.org/abs/2103.02138v1

    • [cs.LG]Predicting Driver Fatigue in Automated Driving with Explainability
    Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev Kochhar, Walter Talamonti, Louis Tijerina
    http://arxiv.org/abs/2103.02162v1

    • [cs.LG]Regularizing towards Causal Invariance: Linear Models with Proxies
    Michael Oberst, Nikolaj Thams, Jonas Peters, David Sontag
    http://arxiv.org/abs/2103.02477v1

    • [cs.LG]Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG
    Arshdeep Sekhon, Zhe Wang, Yanjun Qi
    http://arxiv.org/abs/2103.02405v1

    • [cs.LG]Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
    Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
    http://arxiv.org/abs/2103.02578v1

    • [cs.LG]Two-Stage Framework for Seasonal Time Series Forecasting
    Qingyang Xu, Qingsong Wen, Liang Sun
    http://arxiv.org/abs/2103.02144v1

    • [cs.LG]Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making
    Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
    http://arxiv.org/abs/2103.02071v1

    • [cs.LG]Variance Reduction in Training Forecasting Models with Subgroup Sampling
    Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean Foster
    http://arxiv.org/abs/2103.02062v1

    • [cs.MA]Inference-Based Deterministic Messaging For Multi-Agent Communication
    Varun Bhatt, Michael Buro
    http://arxiv.org/abs/2103.02150v1

    • [cs.NE]A continuous-state cellular automata algorithm for global optimization
    Juan Carlos Seck-Tuoh-Mora, Norberto Hernandez-Romero, Pedro Lagos-Eulogio, Joselito Medina-Marin, Nadia Samantha Zuñiga-Peña
    http://arxiv.org/abs/2103.02076v1

    • [cs.NE]Surrogate-assisted cooperative signal optimization for large-scale traffic networks
    Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du
    http://arxiv.org/abs/2103.02107v1

    • [cs.RO]A 3D Printing Hexacopter: Design and Demonstration
    Alexander Nettekoven, Ufuk Topcu
    http://arxiv.org/abs/2103.02063v1

    • [cs.RO]A Human-Centered Dynamic Scheduling Architecture for Collaborative Application
    Andrea Pupa, Wietse Van Dijk, Cristian Secchi
    http://arxiv.org/abs/2103.01831v2

    • [cs.RO]Advancing Mixture Models for Least Squares Optimization
    Tim Pfeifer, Sven Lange, Peter Protzel
    http://arxiv.org/abs/2103.02472v1

    • [cs.RO]Cellular Formation Maintenance and Collision Avoidance Using Centroid-Based Point Set Registration in a Swarm of Drones
    Jawad N. Yasin, Huma Mahboob, Mohammad-Hashem Haghbayan, Muhammad Mehboob Yasin, Juha Plosila
    http://arxiv.org/abs/2103.02480v1

    • [cs.RO]Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach
    Nadine Wirkuttis, Jun Tani
    http://arxiv.org/abs/2103.02137v1

    • [cs.RO]Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
    Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
    http://arxiv.org/abs/2103.02554v1

    • [cs.RO]Inertial based Integration with Transformed INS Mechanization in Earth Frame
    Lubin Chang, Jingbo Di, Fangjun Qin
    http://arxiv.org/abs/2103.02229v1

    • [cs.RO]Learning to Fly — a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
    Jacopo Panerati, Hehui Zheng, SiQi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
    http://arxiv.org/abs/2103.02142v1

    • [cs.RO]Obstacle Avoidance onboard MAVs using a FMCW RADAR
    Nikhil Wessendorp, Raoul Dinaux, Julien Dupeyroux, Guido de Croon
    http://arxiv.org/abs/2103.02050v1

    • [cs.RO]RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
    Minghao Gou, Hao-Shu Fang, Zhanda Zhu, Sheng Xu, Chenxi Wang, Cewu Lu
    http://arxiv.org/abs/2103.02184v1

    • [cs.RO]Reinforcement Learning Control of a Forestry Crane Manipulator
    Jennifer Andersson, Kenneth Bodin, Daniel Lindmark, Martin Servin, Erik Wallin
    http://arxiv.org/abs/2103.02315v1

    • [cs.RO]Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee
    Liang Hu, Yujie Tang, Zhipeng Zhou, Wei Pan
    http://arxiv.org/abs/2103.02357v1

    • [cs.RO]Semantic constraints to represent common sense required in household actions for multi-modal Learning-from-observation robot
    Katsushi Ikeuchi, Naoki Wake, Riku Arakawa, Kazuhiro Sasabuchi, Jun Takamatsu
    http://arxiv.org/abs/2103.02201v1

    • [cs.RO]Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
    Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu
    http://arxiv.org/abs/2103.02176v1

    • [cs.SD]Continuous Speech Separation with Ad Hoc Microphone Arrays
    Dongmei Wang, Takuya Yoshioka, Zhuo Chen, Xiaofei Wang, Tianyan Zhou, Zhong Meng
    http://arxiv.org/abs/2103.02378v1

    • [cs.SD]Multi-view Audio and Music Classification
    Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Pham, Philipp Koch, Ian McLoughlin, Alfred Mertins
    http://arxiv.org/abs/2103.02420v1

    • [cs.SE]A Fault Localization and Debugging Support Framework driven by Bug Tracking Data
    Thomas Hirsch
    http://arxiv.org/abs/2103.02386v1

    • [cs.SE]Automatically detecting the conflicts between software requirements based on finer semantic analysis
    Weize Guo, Li Zhang, Xiaoli Lian
    http://arxiv.org/abs/2103.02255v1

    • [cs.SE]Root cause prediction based on bug reports
    Thomas Hirsch, Birgit Hofer
    http://arxiv.org/abs/2103.02372v1

    • [cs.SI]COVID-19 vaccination strategies on dynamic networks
    Quoc Huy Nguyen, Jessica Liebig, Md Shahzamal, Bernard Mans, Raja Jurdak
    http://arxiv.org/abs/2103.01957v1

    • [cs.SI]Estimating the Expected Influence Capacities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model
    Aybike Şimşek
    http://arxiv.org/abs/2103.02324v1

    • [cs.SI]Extracting Complements and Substitutes from Sales Data: A Network Perspective
    Yu Tian, Sebastian Lautz, Alisdiar Wallis, Renaud Lambiotte
    http://arxiv.org/abs/2103.02042v1

    • [cs.SI]Graph and Network Theory for the analysis of Criminal Networks
    Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta
    http://arxiv.org/abs/2103.02504v1

    • [cs.SI]Modularity and Mutual Information in Networks: Two Sides of the Same Coin
    Yongkang Guo, Zhihuan Huang, Yuqing Kong, Qian Wang
    http://arxiv.org/abs/2103.02542v1

    • [cs.SI]Multi-Task Representation Learning with Multi-View Graph Convolutional Networks
    Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin
    http://arxiv.org/abs/2103.02236v1

    • [cs.SI]Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection
    Stanislav Sobolevsky
    http://arxiv.org/abs/2103.02520v1

    • [econ.EM]Minimax MSE Bounds and Nonlinear VAR Prewhitening for Long-Run Variance Estimation Under Nonstationarity
    Alessandro Casini, Pierre Perron
    http://arxiv.org/abs/2103.02235v1

    • [eess.AS]Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network
    Junghyun Koo, Seungryeol Paik, Kyogu Lee
    http://arxiv.org/abs/2103.02147v1

    • [eess.IV]Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
    Shahnewaz Ali, Dr. Yaqub Jonmohamadi, Yu Takeda, Jonathan Roberts, Ross Crawford, Cameron Brown, Dr. Ajay K. Pandey
    http://arxiv.org/abs/2103.02465v1

    • [eess.IV]Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
    Pengfei Guo, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel
    http://arxiv.org/abs/2103.02148v1

    • [eess.IV]Real-World Single Image Super-Resolution: A Brief Review
    Honggang Chen, Xiaohai He, Linbo Qing, Yuanyuan Wu, Chao Ren, Ce Zhu
    http://arxiv.org/abs/2103.02368v1

    • [eess.SP]Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network
    Zhen Fu, Bo Wang, Xihong Wu, Jing Chen
    http://arxiv.org/abs/2103.02183v1

    • [eess.SP]Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
    Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
    http://arxiv.org/abs/2103.02087v1

    • [eess.SP]Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks
    Zhen Fu, Bo Wang, Fei Chen, Xihong Wu, Jing Chen
    http://arxiv.org/abs/2103.02186v1

    • [eess.SP]Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems
    Arsenia Chorti, David Picard
    http://arxiv.org/abs/2103.02306v1

    • [eess.SY]Computation Resource Allocation Solution in Recommender Systems
    Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
    http://arxiv.org/abs/2103.02259v1

    • [eess.SY]Constraint Control of a Boom Crane System
    Michele Ambrosino, Arnaud Dawans, Emanuele Garone
    http://arxiv.org/abs/2103.02528v1

    • [eess.SY]Modeling and control of 5-DoF boom crane
    Michele Ambrosino, Marc Berneman, Gianluca Carbone, Rémi Crépin, Arnaud Dawans, Emanuele Garone
    http://arxiv.org/abs/2103.02454v1

    • [eess.SY]Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks
    Fabio Bonassi, Caio Fabio Oliveira da Silva, Riccardo Scattolini
    http://arxiv.org/abs/2103.02383v1

    • [eess.SY]Oscillation Reduction for Knuckle Cranes
    Michele Ambrosino, Brent Thierens, Arnaud Dawans, Emanuele Garone
    http://arxiv.org/abs/2103.02509v1

    • [math.DG]On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
    Pasquale Cascarano, Patrizio Frosini, Nicola Quercioli, Amir Saki
    http://arxiv.org/abs/2103.02543v1

    • [math.OC]Stochastic Cutting Planes for Data-Driven Optimization
    Dimitris Bertsimas, Michael Lingzhi Li
    http://arxiv.org/abs/2103.02506v1

    • [math.PR]Continuous scaled phase-type distributions
    Hansjoerg Albrecher, Martin Bladt, Mogens Bladt, Jorge Yslas
    http://arxiv.org/abs/2103.02457v1

    • [math.PR]Departure-based Asymptotic Stochastic Order for Random Processes
    Sugata Ghosh, Asok K. Nanda
    http://arxiv.org/abs/2103.01727v2

    • [math.PR]On Information (pseudo) Metric
    Pierre Baudot
    http://arxiv.org/abs/2103.02008v1

    • [math.ST]Asymptotic approximation of the likelihood of stationary determinantal point processes
    Arnaud Poinas, Frédéric Lavancier
    http://arxiv.org/abs/2103.02310v1

    • [math.ST]Detecting Outliers in High-dimensional Data with Mixed Variable Types using Conditional Gaussian Regression Models
    Mads Lindskou, Torben Tvedebrink, Poul Svante Eriksen
    http://arxiv.org/abs/2103.02366v1

    • [math.ST]Incidence geometry in the projective plane via almost-principal minors of symmetric matrices
    Tobias Boege
    http://arxiv.org/abs/2103.02589v1

    • [q-bio.NC]Deep Recurrent Encoder: A scalable end-to-end network to model brain signals
    Omar Chehab, Alexandre Defossez, Jean-Christophe Loiseau, Alexandre Gramfort, Jean-Remi King
    http://arxiv.org/abs/2103.02339v1

    • [q-bio.NC]On Information Links
    Pierre Baudot
    http://arxiv.org/abs/2103.02002v1

    • [q-bio.NC]To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data
    Tong Shen, Gyorgy Lur, Xiangmin Xu, Zhaoxia Yu
    http://arxiv.org/abs/2103.02163v1

    • [quant-ph]Quantum Network Discrimination
    Christoph Hirche
    http://arxiv.org/abs/2103.02404v1

    • [stat.AP]The `how’ matters: A simulation-based assessment of the potential contributions of LFD tests for school reopening in England
    Kevin Kunzmann, Camilla Lingjaerde, Sheila Bird, Sylvia Richardson
    http://arxiv.org/abs/2103.02035v1

    • [stat.ME]A Comparison of Likelihood-Free Methods With and Without Summary Statistics
    Christopher Drovandi, David T Frazier
    http://arxiv.org/abs/2103.02407v1

    • [stat.ME]Discussion of ‘Estimating time-varying causal excursion effect in mobile health with binary outcomes’ by T. Qian et al
    F. Richard Guo, Thomas S. Richardson, James M. Robins
    http://arxiv.org/abs/2103.02323v1

    • [stat.ME]Dynamic estimation with random forests for discrete-time survival data
    Hoora Moradian, Weichi Yao, Denis Larocque, Jeffrey S. Simonoff, Halina Frydman
    http://arxiv.org/abs/2103.01355v2

    • [stat.ME]Estimation of Dirichlet distribution parameters with bias-reducing adjusted score functions
    Vincenzo Gioia, Euloge Clovis Kenne Pagui
    http://arxiv.org/abs/2103.02413v1

    • [stat.ME]Multiple imputation with missing data indicators
    Lauren J Beesley, Irina Bondarenko, Michael R Elliott, Allison W Kurian, Steven J Katz, Jeremy M G Taylor
    http://arxiv.org/abs/2103.02033v1

    • [stat.ME]Product Partition Dynamic Generalized Linear Models
    Victor S. Comitti, Fábio N. Demarqui, Thiago R. dos Santos, Jéssica da Assunção Almeida
    http://arxiv.org/abs/2103.02470v1

    • [stat.ME]Ridge-penalized adaptive Mantel test and its application in imaging genetics
    Dustin Pluta, Tong Shen, Gui Xue, Chuansheng Chen, Hernando Ombao, Zhaoxia Yu
    http://arxiv.org/abs/2103.02156v1

    • [stat.ME]Robust Estimation of Loss Models for Lognormal Insurance Payment Severity Data
    Chudamani Poudyal
    http://arxiv.org/abs/2103.02089v1

    • [stat.ML]Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
    Adam Foster, Desi R. Ivanova, Ilyas Malik, Tom Rainforth
    http://arxiv.org/abs/2103.02438v1

    • [stat.ML]Learning Proposals for Probabilistic Programs with Inference Combinators
    Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
    http://arxiv.org/abs/2103.00668v2

    • [stat.ML]Parsimonious Inference
    Jed A. Duersch, Thomas A. Catanach
    http://arxiv.org/abs/2103.02165v1

    • [stat.ML]Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
    Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schonlieb
    http://arxiv.org/abs/2103.01678v2