astro-ph.GA - 星系天体物理学
astro-ph.IM - 仪器仪表和天体物理学方法 cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.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 math-ph - 数学物理 math.AG - 代数几何 math.CO - 组合数学 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.CP -计算金融学 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
• [astro-ph.GA]AGNet: Weighing Black Holes with Machine Learning
• [astro-ph.IM]Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant
• [cond-mat.dis-nn]Enhancing Scalability of a Matrix-Free Eigensolver for Studying Many-Body Localization
• [cond-mat.dis-nn]The Perturbative Resolvent Method: spectral densities of random matrix ensembles via perturbation theory
• [cs.AI]A Multi-intersection Vehicular Cooperative Control based on End-Edge-Cloud Computing
• [cs.AI]An Artificial Consciousness Model and its relations with Philosophy of Mind
• [cs.AI]Obtain Employee Turnover Rate and Optimal Reduction Strategy Based On Neural Network and Reinforcement Learning
• [cs.AI]SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge
• [cs.AI]Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment
• [cs.CL]An Enhanced Knowledge Injection Model for Commonsense Generation
• [cs.CL]BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it’s baseline evaluation
• [cs.CL]CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
• [cs.CL]CPM: A Large-scale Generative Chinese Pre-trained Language Model
• [cs.CL]ClimaText: A Dataset for Climate Change Topic Detection
• [cs.CL]Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers
• [cs.CL]Extracting Synonyms from Bilingual Dictionaries
• [cs.CL]Extreme Model Compression for On-device Natural Language Understanding
• [cs.CL]Facilitating the Communication of Politeness through Fine-Grained Paraphrasing
• [cs.CL]High Quality Real-Time Structured Debate Generation
• [cs.CL]Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion
• [cs.CL]Intrinsic analysis for dual word embedding space models
• [cs.CL]Introducing Inter-Relatedness between Wikipedia Articles in Explicit Semantic Analysis
• [cs.CL]Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks
• [cs.CL]Modifying Memories in Transformer Models
• [cs.CL]Neural language models for text classification in evidence-based medicine
• [cs.CL]Statistical patterns of word frequency suggesting the probabilistic nature of human languages
• [cs.CL]Systematically Exploring Redundancy Reduction in Summarizing Long Documents
• [cs.CL]Towards a Unified Framework for Emotion Analysis
• [cs.CL]UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection
• [cs.CR]A Critique of Immunity Passports and W3C Decentralized Identifiers
• [cs.CR]A remark on MAKE — a Matrix Action Key Exchange
• [cs.CR]Hey Alexa what did I just type? Decoding smartphone sounds with a voice assistant
• [cs.CR]MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent
• [cs.CR]Towards a Universal Features Set for IoT Botnet Attacks Detection
• [cs.CR]Twitter Spam Detection: A Systematic Review
• [cs.CV]3D Guided Weakly Supervised Semantic Segmentation
• [cs.CV]A New Action Recognition Framework for Video Highlights Summarization in Sporting Events
• [cs.CV]A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components
• [cs.CV]A Unified Structure for Efficient RGB and RGB-D Salient Object Detection
• [cs.CV]Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
• [cs.CV]Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
• [cs.CV]Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection
• [cs.CV]Counting People by Estimating People Flows
• [cs.CV]Cross-modal registration using point clouds and graph-matching in the context of correlative microscopies
• [cs.CV]CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection
• [cs.CV]DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
• [cs.CV]Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning
• [cs.CV]Disentangling Label Distribution for Long-tailed Visual Recognition
• [cs.CV]Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
• [cs.CV]Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration
• [cs.CV]Dynamic Image for 3D MRI Image Alzheimer’s Disease Classification
• [cs.CV]Emotion Detection using Image Processing in Python
• [cs.CV]Enabling Fingerprint Presentation Attacks: Fake Fingerprint Fabrication Techniques and Recognition Performance
• [cs.CV]Facetwise Mesh Refinement for Multi-View Stereo
• [cs.CV]Fast Class-wise Updating for Online Hashing
• [cs.CV]Fully Convolutional Networks for Panoptic Segmentation
• [cs.CV]GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
• [cs.CV]Globally Optimal Relative Pose Estimation with Gravity Prior
• [cs.CV]HORAE: an annotated dataset of books of hours
• [cs.CV]Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning
• [cs.CV]Improving the Transferability of Adversarial Examples with the Adam Optimizer
• [cs.CV]Just Ask: Learning to Answer Questions from Millions of Narrated Videos
• [cs.CV]Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
• [cs.CV]Low Bandwidth Video-Chat Compression using Deep Generative Models
• [cs.CV]Minimal Solutions for Panoramic Stitching Given Gravity Prior
• [cs.CV]Move to See Better: Towards Self-Supervised Amodal Object Detection
• [cs.CV]Multi-level Knowledge Distillation
• [cs.CV]Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation
• [cs.CV]One-Pixel Attack Deceives Automatic Detection of Breast Cancer
• [cs.CV]Open Source 3-D Filament Diameter Sensor for Recycling, Winding and Additive Manufacturing Machines
• [cs.CV]Point2Skeleton: Learning Skeletal Representations from Point Clouds
• [cs.CV]Pre-Trained Image Processing Transformer
• [cs.CV]RAFT-3D: Scene Flow using Rigid-Motion Embeddings
• [cs.CV]RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization
• [cs.CV]Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving
• [cs.CV]Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks
• [cs.CV]SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods
• [cs.CV]Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification
• [cs.CV]Sim2Real for Self-Supervised Monocular Depth and Segmentation
• [cs.CV]Structured Context Enhancement Network for Mouse Pose Estimation
• [cs.CV]Truly shift-invariant convolutional neural networks
• [cs.CV]UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
• [cs.CV]Ultra-low bitrate video conferencing using deep image animation
• [cs.CV]Unpaired Image-to-Image Translation via Latent Energy Transport
• [cs.CV]Unsupervised Part Discovery via Feature Alignment
• [cs.CV]We are More than Our Joints: Predicting how 3D Bodies Move
• [cs.CV]Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm
• [cs.CV]fairfaceGAN: Fairness-aware Facial Image-to-Image Translation
• [cs.CY]Civic Technologies: Research, Practice and Open Challenges
• [cs.CY]Have We Reached Consensus? An Analysis of Distributed Systems Syllabi
• [cs.CY]Online Suicide Games: A Form of Digital Self-harm or A Myth?
• [cs.CY]The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making
• [cs.DC]A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring
• [cs.DC]Byzantine Eventual Consistency and the Fundamental Limits of Peer-to-Peer Databases
• [cs.DC]LifeStream: A High-performance Stream Processing Engine for Waveform Data
• [cs.DS]Better Fewer but Better: Community Search with Outliers
• [cs.GR]Farthest sampling segmentation of triangulated surfaces
• [cs.HC]Why Did the Robot Cross the Road? A User Study of Explanation in Human-Robot Interaction
• [cs.IR]A Statistical Real-Time Prediction Model for Recommender System
• [cs.IR]Diversifying Relevant Phrases
• [cs.IR]Fair Multi-Stakeholder News Recommender System with Hypergraph ranking
• [cs.IR]Mixed Information Flow for Cross-domain Sequential Recommendations
• [cs.IT]A Contemporary Survey on Free Space Optical Communication: Potential, Technical Challenges, Recent Advances and Research Direction
• [cs.IT]Adaptive Coding and Channel Shaping Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis
• [cs.IT]Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances
• [cs.IT]Fractal-based belief entropy
• [cs.IT]Hardware Implementation of Iterative Projection-Aggregation Decoding of Reed-Muller Codes
• [cs.IT]Improved Performance Guarantees for Orthogonal Group Synchronization via Generalized Power Method
• [cs.IT]Iterative Error Decimation for Syndrome-Based Neural Network Decoders
• [cs.IT]Massive MIMO precoding and spectral shaping with low resolution DACs and active constellation extension
• [cs.IT]On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests
• [cs.IT]Physical Layer Security Enhancement with Large Intelligent Surface-Assisted Networks
• [cs.IT]Reconfigurable Intelligent Surface Aided TeraHertz Communications Under Misalignment and Hardware Impairments
• [cs.IT]Secrecy Performance of Body-Centric Communications over Alternate Rician Shadowed Fading Channels
• [cs.IT]Signal Fractions Analysis and Safety-Distance Modeling in V2V Inter-lane Communications
• [cs.IT]Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation
• [cs.IT]Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules
• cs.LG-Medians Clustering of Trajectories Using Continuous Dynamic Time Warping
• [cs.LG]6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
• [cs.LG]A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
• [cs.LG]A Hypergradient Approach to Robust Regression without Correspondence
• [cs.LG]A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance
• [cs.LG]An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data
• [cs.LG]Analysis of Drifting Features
• [cs.LG]Assessing and Accelerating Coverage in Deep Reinforcement Learning
• [cs.LG]Communication-Efficient Federated Distillation
• [cs.LG]Consistent Representation Learning for High Dimensional Data Analysis
• [cs.LG]Convergence and Sample Complexity of SGD in GANs
• [cs.LG]Crowd-Sourced Road Quality Mapping in the Developing World
• [cs.LG]Decentralized Multi-Agent Linear Bandits with Safety Constraints
• [cs.LG]Deconstructing the Structure of Sparse Neural Networks
• [cs.LG]Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
• [cs.LG]Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms
• [cs.LG]Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles
• [cs.LG]Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction
• [cs.LG]Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
• [cs.LG]Edge-assisted Democratized Learning Towards Federated Analytics
• [cs.LG]Every Model Learned by Gradient Descent Is Approximately a Kernel Machine
• [cs.LG]FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief
• [cs.LG]Fast-Convergent Federated Learning with Adaptive Weighting
• [cs.LG]Field-wise Learning for Multi-field Categorical Data
• [cs.LG]How to fine-tune deep neural networks in few-shot learning?
• [cs.LG]HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data
• [cs.LG]Improving cluster recovery with feature rescaling factors
• [cs.LG]Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks
• [cs.LG]Iterative VAE as a predictive brain model for out-of-distribution generalization
• [cs.LG]Latent Programmer: Discrete Latent Codes for Program Synthesis
• [cs.LG]Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach
• [cs.LG]MILP-based Imitation Learning for HVAC control
• [cs.LG]MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization
• [cs.LG]Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
• [cs.LG]Multi-Modal Detection of Alzheimer’s Disease from Speech and Text
• [cs.LG]Non-Stationary Latent Bandits
• [cs.LG]PMLB v1.0: an open source dataset collection for benchmarking machine learning methods
• [cs.LG]Probabilistic Grammars for Equation Discovery
• [cs.LG]Problems of representation of electrocardiograms in convolutional neural networks
• [cs.LG]Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models
• [cs.LG]Python Workflows on HPC Systems
• [cs.LG]Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
• [cs.LG]Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems
• [cs.LG]Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
• [cs.LG]Robust error bounds for quantised and pruned neural networks
• [cs.LG]Simulating Surface Wave Dynamics with Convolutional Networks
• [cs.LG]Solvable Model for Inheriting the Regularization through Knowledge Distillation
• [cs.LG]Task Allocation for Asynchronous Mobile Edge Learning with Delay and Energy Constraints
• [cs.LG]TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
• [cs.LG]Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
• [cs.LG]Towards Auditability for Fairness in Deep Learning
• [cs.LG]Train Tracks with Gaps: Applying the Probabilistic Method to Trains
• [cs.LG]Unsupervised Anomaly Detection From Semantic Similarity Scores
• [cs.LG]Use of Remote Sensing Data to Identify Air Pollution Signatures in India
• [cs.LG]Using dynamical quantization to perform split attempts in online tree regressors
• [cs.LG]Why model why? Assessing the strengths and limitations of LIME
• [cs.NE]A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments
• [cs.NI]Fog Computing Approaches in Smart Cities: A State-of-the-Art Review
• [cs.NI]Load balancing mechanisms in fog computing: A systematic review
• [cs.RO]Attention-Based Planning with Active Perception
• [cs.RO]Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
• [cs.RO]End-to-End UAV Simulation for Visual SLAM and Navigation
• [cs.RO]Fast and Robust Bin-picking System for Densely Piled Industrial Objects
• [cs.RO]Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication
• [cs.RO]Learning Sampling Distributions for Efficient High-Dimensional Motion Planning
• [cs.RO]Procedure for the Safety Assessment of an Autonomous Vehicle Using Real-World Scenarios
• [cs.RO]Theoretical Evidence Supporting Harmonic Reaching Trajectories
• [cs.RO]Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots
• [cs.RO]Visual Identification of Articulated Object Parts
• [cs.SD]Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation
• [cs.SD]MTM Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio?
• [cs.SI]Audience and Streamer Participation at Scale on Twitch
• [cs.SI]How cumulative is technological knowledge?
• [cs.SI]Identifying pandemic-related stress factors from social-media posts — effects on students and young-adults
• [cs.SI]Independence of the Fundamental Equation of the Oscillation Model on Algebraic Representations: Social Media Echo Chamber Effect
• [cs.SI]On the Equivalence Between High-Order Network-Influence Frameworks: General-Threshold, Hypergraph-Triggering, and Logic-Triggering Models
• [cs.SI]Spreading of performance fluctuations on real-world project networks
• [econ.EM]Double machine learning for (weighted) dynamic treatment effects
• [eess.AS]A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data
• [eess.IV]Model Adaptation for Inverse Problems in Imaging
• [eess.IV]On hallucinations in tomographic image reconstruction
• [eess.IV]Overcoming the limitations of patch-based learning to detect cancer in whole slide images
• [eess.IV]Unsupervised Deep Video Denoising
• [eess.SP]A Data-Driven Study to Discover, Characterize, and Classify Convergence Bidding Strategies in California ISO Energy Market
• [eess.SP]Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems
• [eess.SP]Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection
• [eess.SP]Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition
• [math-ph]The massive modular Hamiltonian
• [math.AG]Linear Spaces of Symmetric Matrices with Non-Maximal Maximum Likelihood Degree
• [math.AG]The Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices
• [math.CO]Further strengthening of upper bounds for perfect $k$-Hashing
• [math.NA]Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem
• [math.PR]Spectral Analysis of Word Statistics
• [math.ST]Functional Linear Regression with Mixed Predictors
• [math.ST]Minimax bounds for estimating multivariate Gaussian location mixtures
• [math.ST]Parameter Identification with Finite-Convergence Time Alertness Preservation
• [math.ST]Regular multidimensional stationary time series
• [physics.data-an]Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics
• [physics.soc-ph]Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk
• [q-bio.NC]Single trial ERP amplitudes reveal the time course of acquiring representations of novel faces in individual participants
• [q-bio.PE]Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
• [q-bio.QM]Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
• [q-fin.CP]mlOSP: Towards a Unified Implementation of Regression Monte Carlo Algorithms
• [quant-ph]Natural Evolutionary Strategies for Variational Quantum Computation
• [stat.AP]A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer’s Disease
• [stat.AP]Bayesian classification for dating archaeological sites via projectile points
• [stat.AP]Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model
• [stat.AP]Measuring and assessing economic uncertainty
• [stat.AP]Permutation-based true discovery proportions for fMRI cluster analysis
• [stat.AP]Seasonal association between viral etiologies of hospitalized acute lower respiratory infections and meteorological factors in China
• [stat.AP]Semi-Mechanistic Bayesian Modeling of COVID-19 with Renewal Processes
• [stat.CO]DNA mixture deconvolution using an evolutionary algorithm with multiple populations, hill-climbing, and guided mutation
• [stat.ME]A new approach to the gender pay gap decomposition by economic activity
• [stat.ME]Anisotropic local constant smoothing for change-point regression function estimation
• [stat.ME]Area-level spatio-temporal Poisson mixed models for predicting domain counts and proportions
• [stat.ME]BayesTime: Bayesian Functional Principal Components for Sparse Longitudinal Data
• [stat.ME]Data Fusion for Joining Income and Consumption Information Using Different Donor-Recipient Distance Metrics
• [stat.ME]Empirical best prediction of small area bivariate parameters
• [stat.ME]General Regression Methods for Respondent-Driven Sampling Data
• [stat.ME]Modified Dorfman procedure for pool tests with dilution — COVID-19 case study
• [stat.ME]What are the most important statistical ideas of the past 50 years?
• [stat.ML]Contagion Dynamics for Manifold Learning
• [stat.ML]Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers
• [stat.ML]Debiasing Evaluations That are Biased by Evaluations
• [stat.ML]Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?
• [stat.ML]Generalization and Memorization: The Bias Potential Model
• [stat.ML]Mutual Information Constraints for Monte-Carlo Objectives
• [stat.ML]Representing and Denoising Wearable ECG Recordings
• [stat.ML]The FEDHC Bayesian network learning algorithm
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• [astro-ph.GA]AGNet: Weighing Black Holes with Machine Learning
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind
http://arxiv.org/abs/2011.15095v2
• [astro-ph.IM]Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant
Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman
http://arxiv.org/abs/2012.00042v1
• [cond-mat.dis-nn]Enhancing Scalability of a Matrix-Free Eigensolver for Studying Many-Body Localization
Roel Van Beeumen, Khaled Z. Ibrahim, Gregory D. Kahanamoku-Meyer, Norman Y. Yao, Chao Yang
http://arxiv.org/abs/2012.00217v1
• [cond-mat.dis-nn]The Perturbative Resolvent Method: spectral densities of random matrix ensembles via perturbation theory
Wenping Cui, Jason W. Rocks, Pankaj Mehta
http://arxiv.org/abs/2012.00663v1
• [cs.AI]A Multi-intersection Vehicular Cooperative Control based on End-Edge-Cloud Computing
Mingzhi Jiang, Tianhao Wu, Zhe Wang, Yi Gong, Lin Zhang, Ren Ping Liu
http://arxiv.org/abs/2012.00500v1
• [cs.AI]An Artificial Consciousness Model and its relations with Philosophy of Mind
Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza
http://arxiv.org/abs/2011.14475v2
• [cs.AI]Obtain Employee Turnover Rate and Optimal Reduction Strategy Based On Neural Network and Reinforcement Learning
Xiaohan Cheng
http://arxiv.org/abs/2012.00583v1
• [cs.AI]SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge
Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck
http://arxiv.org/abs/2012.00555v1
• [cs.AI]Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment
Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Tony Ribeiro
http://arxiv.org/abs/2012.00360v1
• [cs.CL]An Enhanced Knowledge Injection Model for Commonsense Generation
Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang
http://arxiv.org/abs/2012.00366v1
• [cs.CL]BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it’s baseline evaluation
Mahfuz Ahmed Masum, Sheikh Junayed Ahmed, Ayesha Tasnim, Md Saiful Islam
http://arxiv.org/abs/2012.00288v1
• [cs.CL]CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, Markus Leippold
http://arxiv.org/abs/2012.00614v1
• [cs.CL]CPM: A Large-scale Generative Chinese Pre-trained Language Model
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
http://arxiv.org/abs/2012.00413v1
• [cs.CL]ClimaText: A Dataset for Climate Change Topic Detection
Francesco S. Varini, Jordan Boyd-Graber, Massimiliano Ciaramita, Markus Leippold
http://arxiv.org/abs/2012.00483v1
• [cs.CL]Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers
Sebastien Montella, Betty Fabre, Tanguy Urvoy, Johannes Heinecke, Lina Rojas-Barahona
http://arxiv.org/abs/2012.00571v1
• [cs.CL]Extracting Synonyms from Bilingual Dictionaries
Mustafa Jarrar, Eman Karajah, Muhammad Khalifa, Khaled Shaalan
http://arxiv.org/abs/2012.00600v1
• [cs.CL]Extreme Model Compression for On-device Natural Language Understanding
Kanthashree Mysore Sathyendra, Samridhi Choudhary, Leah Nicolich-Henkin
http://arxiv.org/abs/2012.00124v1
• [cs.CL]Facilitating the Communication of Politeness through Fine-Grained Paraphrasing
Liye Fu, Susan R. Fussell, Cristian Danescu-Niculescu-Mizil
http://arxiv.org/abs/2012.00012v1
• [cs.CL]High Quality Real-Time Structured Debate Generation
Eric Bolton, Alex Calderwood, Niles Christensen, Jerome Kafrouni, Iddo Drori
http://arxiv.org/abs/2012.00209v1
• [cs.CL]Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion
Vijay Ravi, Yile Gu, Ankur Gandhe, Ariya Rastrow, Linda Liu, Denis Filimonov, Scott Novotney, Ivan Bulyko
http://arxiv.org/abs/2012.00133v1
• [cs.CL]Intrinsic analysis for dual word embedding space models
Mohit Mayank
http://arxiv.org/abs/2012.00728v1
• [cs.CL]Introducing Inter-Relatedness between Wikipedia Articles in Explicit Semantic Analysis
Naveen Elango, Pawan Prasad K
http://arxiv.org/abs/2012.00398v1
• [cs.CL]Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks
Shree Charran R, Rahul Kumar Dubey
http://arxiv.org/abs/2012.00633v1
• [cs.CL]Modifying Memories in Transformer Models
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix Yu, Sanjiv Kumar
http://arxiv.org/abs/2012.00363v1
• [cs.CL]Neural language models for text classification in evidence-based medicine
Andres Carvallo, Denis Parra, Gabriel Rada, Daniel Perez, Juan Ignacio Vasquez, Camilo Vergara
http://arxiv.org/abs/2012.00584v1
• [cs.CL]Statistical patterns of word frequency suggesting the probabilistic nature of human languages
Shuiyuan Yu, Chunshan Xu, Haitao Liu
http://arxiv.org/abs/2012.00187v1
• [cs.CL]Systematically Exploring Redundancy Reduction in Summarizing Long Documents
Wen Xiao, Giuseppe Carenini
http://arxiv.org/abs/2012.00052v1
• [cs.CL]Towards a Unified Framework for Emotion Analysis
Sven Buechel, Luise Modersohn, Udo Hahn
http://arxiv.org/abs/2012.00190v1
• [cs.CL]UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection
Ondřej Pražák, Pavel Přibáň, Stephen Taylor, Jakub Sido
http://arxiv.org/abs/2012.00004v1
• [cs.CR]A Critique of Immunity Passports and W3C Decentralized Identifiers
Harry Halpin
http://arxiv.org/abs/2012.00136v1
• [cs.CR]A remark on MAKE — a Matrix Action Key Exchange
Chris Monico, Ayan Mahalanobis
http://arxiv.org/abs/2012.00283v1
• [cs.CR]Hey Alexa what did I just type? Decoding smartphone sounds with a voice assistant
Almos Zarandy, Ilia Shumailov, Ross Anderson
http://arxiv.org/abs/2012.00687v1
• [cs.CR]MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent
K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard
http://arxiv.org/abs/2012.00740v1
• [cs.CR]Towards a Universal Features Set for IoT Botnet Attacks Detection
Faisal Hussain, Syed Ghazanfar Abbas, Ubaid U. Fayyaz, Ghalib A. Shah, Abdullah Toqeer, Ahmad Ali
http://arxiv.org/abs/2012.00463v1
• [cs.CR]Twitter Spam Detection: A Systematic Review
Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Ebrahim Mahdipour
http://arxiv.org/abs/2011.14754v2
• [cs.CV]3D Guided Weakly Supervised Semantic Segmentation
Weixuan Sun, Jing Zhang, Nick Barnes
http://arxiv.org/abs/2012.00242v1
• [cs.CV]A New Action Recognition Framework for Video Highlights Summarization in Sporting Events
Cheng Yan, Xin Li, Guoqiang Li
http://arxiv.org/abs/2012.00253v1
• [cs.CV]A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components
Tobias Schlagenhauf, Tim Brander, Juergen Fleischer
http://arxiv.org/abs/2012.00308v1
• [cs.CV]A Unified Structure for Efficient RGB and RGB-D Salient Object Detection
Peng Peng, Yong-Jie Li
http://arxiv.org/abs/2012.00437v1
• [cs.CV]Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
Benedetta Tondi, Andrea Costranzo, Dequ Huang, Bin Li
http://arxiv.org/abs/2012.00468v1
• [cs.CV]Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
Boaz Lerner, Guy Shiran, Daphna Weinshall
http://arxiv.org/abs/2012.00504v1
• [cs.CV]Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection
Andrew Shepley, Greg Falzon, Paul Kwan
http://arxiv.org/abs/2012.00257v1
• [cs.CV]Counting People by Estimating People Flows
Weizhe Liu, Mathieu Salzmann, Pascal Fua
http://arxiv.org/abs/2012.00452v1
• [cs.CV]Cross-modal registration using point clouds and graph-matching in the context of correlative microscopies
Stephan Kunne, Guillaume Potier, Jean Mérot, Perrine Paul-Gilloteaux
http://arxiv.org/abs/2012.00656v1
• [cs.CV]CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection
Takayuki Osakabe, Miki Tanaka, Yuma Kinoshita, Hitoshi Kiya
http://arxiv.org/abs/2012.00287v1
• [cs.CV]DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys
http://arxiv.org/abs/2012.00595v1
• [cs.CV]Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning
Ming Lu, Tong Chen, Dandan Ding, Fengqing Zhu, Zhan Ma
http://arxiv.org/abs/2012.00650v1
• [cs.CV]Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang
http://arxiv.org/abs/2012.00321v1
• [cs.CV]Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
Youngwan Lee, Hyung-Il Kim, Kimin Yun, Jinyoung Moon
http://arxiv.org/abs/2012.00317v1
• [cs.CV]Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration
Liyuan Pan, Shah Chowdhury, Richard Hartley, Miaomiao Liu, Hongguang Zhang, Hongdong Li
http://arxiv.org/abs/2012.00301v1
• [cs.CV]Dynamic Image for 3D MRI Image Alzheimer’s Disease Classification
Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs
http://arxiv.org/abs/2012.00119v1
• [cs.CV]Emotion Detection using Image Processing in Python
Raghav Puri, Archit Gupta, Manas Sikri, Mohit Tiwari, Nitish Pathak, Shivendra Goel
http://arxiv.org/abs/2012.00659v1
• [cs.CV]Enabling Fingerprint Presentation Attacks: Fake Fingerprint Fabrication Techniques and Recognition Performance
Christof Kauba, Luca Debiasi, Andreas Uhl
http://arxiv.org/abs/2012.00606v1
• [cs.CV]Facetwise Mesh Refinement for Multi-View Stereo
Andrea Romanoni, Matteo Matteucci
http://arxiv.org/abs/2012.00564v1
• [cs.CV]Fast Class-wise Updating for Online Hashing
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao
http://arxiv.org/abs/2012.00318v1
• [cs.CV]Fully Convolutional Networks for Panoptic Segmentation
Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
http://arxiv.org/abs/2012.00720v1
• [cs.CV]GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
Kelvin C. K. Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, Chen Change Loy
http://arxiv.org/abs/2012.00739v1
• [cs.CV]Globally Optimal Relative Pose Estimation with Gravity Prior
Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova
http://arxiv.org/abs/2012.00458v1
• [cs.CV]HORAE: an annotated dataset of books of hours
Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann, Christopher Kermorvant
http://arxiv.org/abs/2012.00351v1
• [cs.CV]Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning
Gergo Merkely, Alireza Borjali, Molly Zgoda, Evan M. Farina, Simon Gortz, Orhun Muratoglu, Christian Lattermann, Kartik M. Varadarajan
http://arxiv.org/abs/2012.00144v1
• [cs.CV]Improving the Transferability of Adversarial Examples with the Adam Optimizer
Heng Yin, Hengwei Zhang, Jindong Wang, Ruiyu Dou
http://arxiv.org/abs/2012.00567v1
• [cs.CV]Just Ask: Learning to Answer Questions from Millions of Narrated Videos
Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid
http://arxiv.org/abs/2012.00451v1
• [cs.CV]Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo, Yaojin Lin, Shaozi Li, Nicu Sebe
http://arxiv.org/abs/2012.00417v1
• [cs.CV]Low Bandwidth Video-Chat Compression using Deep Generative Models
Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
http://arxiv.org/abs/2012.00328v1
• [cs.CV]Minimal Solutions for Panoramic Stitching Given Gravity Prior
Yaqing Ding, Daniel Barath, Zuzana Kukelova
http://arxiv.org/abs/2012.00465v1
• [cs.CV]Move to See Better: Towards Self-Supervised Amodal Object Detection
Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki
http://arxiv.org/abs/2012.00057v1
• [cs.CV]Multi-level Knowledge Distillation
Fei Ding, Feng Luo, Hongxin Hu, Yin Yang
http://arxiv.org/abs/2012.00573v1
• [cs.CV]Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation
Qihao Liu, Weichao Qiu, Weiyao Wang, Gregory D. Hager, Alan L. Yuille
http://arxiv.org/abs/2012.00088v1
• [cs.CV]One-Pixel Attack Deceives Automatic Detection of Breast Cancer
Joni Korpihalkola, Tuomo Sipola, Samir Puuska, Tero Kokkonen
http://arxiv.org/abs/2012.00517v1
• [cs.CV]Open Source 3-D Filament Diameter Sensor for Recycling, Winding and Additive Manufacturing Machines
Aliaksei L. Petsiuk, Joshua M. Pearce
http://arxiv.org/abs/2012.00191v1
• [cs.CV]Point2Skeleton: Learning Skeletal Representations from Point Clouds
Cheng Lin, Changjian Li, Yuan Liu, Nenglun Chen, Yi-King Choi, Wenping Wang
http://arxiv.org/abs/2012.00230v1
• [cs.CV]Pre-Trained Image Processing Transformer
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
http://arxiv.org/abs/2012.00364v1
• [cs.CV]RAFT-3D: Scene Flow using Rigid-Motion Embeddings
Zachary Teed, Jia Deng
http://arxiv.org/abs/2012.00726v1
• [cs.CV]RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization
Dongjiang Li, Jinyu Miao, Xuesong Shi, Yuxin Tian, Qiwei Long, Ping Guo, Hongfei Yu, Wei Yang, Haosong Yue, Qi Wei, Fei Qiao
http://arxiv.org/abs/2012.00234v1
• [cs.CV]Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving
Toru Saito, Toshimi Okubo, Naoki Takahashi
http://arxiv.org/abs/2012.00353v1
• [cs.CV]Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks
Christian Cosgrove, Adam Kortylewski, Chenglin Yang, Alan Yuille
http://arxiv.org/abs/2012.00558v1
• [cs.CV]SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods
Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao
http://arxiv.org/abs/2012.00433v1
• [cs.CV]Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification
Sedrick Scott Keh
http://arxiv.org/abs/2012.00332v1
• [cs.CV]Sim2Real for Self-Supervised Monocular Depth and Segmentation
Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava
http://arxiv.org/abs/2012.00238v1
• [cs.CV]Structured Context Enhancement Network for Mouse Pose Estimation
Feixiang Zhou, Zheheng Jiang, Zhihua Liu, Fang Chen, Long Chen, Lei Tong, Zhile Yang, Haikuan Wang, Minrui Fei, Ling Li, Huiyu Zhou
http://arxiv.org/abs/2012.00630v1
• [cs.CV]Truly shift-invariant convolutional neural networks
Anadi Chaman, Ivan Dokmanić
http://arxiv.org/abs/2011.14214v2
• [cs.CV]UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun
http://arxiv.org/abs/2012.00212v1
• [cs.CV]Ultra-low bitrate video conferencing using deep image animation
Goluck Konuko, Giuseppe Valenzise, Stéphane Lathuilière
http://arxiv.org/abs/2012.00346v1
• [cs.CV]Unpaired Image-to-Image Translation via Latent Energy Transport
Yang Zhao, Changyou Chen
http://arxiv.org/abs/2012.00649v1
• [cs.CV]Unsupervised Part Discovery via Feature Alignment
Mengqi Guo, Yutong Bai, Zhishuai Zhang, Adam Kortylewski, Alan Yuille
http://arxiv.org/abs/2012.00313v1
• [cs.CV]We are More than Our Joints: Predicting how 3D Bodies Move
Yan Zhang, Michael J. Black, Siyu Tang
http://arxiv.org/abs/2012.00619v1
• [cs.CV]Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm
Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu
http://arxiv.org/abs/2012.00424v1
• [cs.CV]fairfaceGAN: Fairness-aware Facial Image-to-Image Translation
Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun
http://arxiv.org/abs/2012.00282v1
• [cs.CY]Civic Technologies: Research, Practice and Open Challenges
Pablo Aragon, Adriana Alvarado Garcia, Christopher A. Le Dantec, Claudia Flores-Saviaga, Jorge Saldivar
http://arxiv.org/abs/2012.00515v1
• [cs.CY]Have We Reached Consensus? An Analysis of Distributed Systems Syllabi
Cristina L. Abad, Eduardo Ortiz-Holguin, Edwin F. Boza
http://arxiv.org/abs/2012.00552v1
• [cs.CY]Online Suicide Games: A Form of Digital Self-harm or A Myth?
Maria Bada, Richard Clayton
http://arxiv.org/abs/2012.00530v1
• [cs.CY]The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making
Travis Greene, Galit Shmueli, Jan Fell, Ching-Fu Lin, Mark L. Shope, Han-Wei Liu
http://arxiv.org/abs/2012.00289v1
• [cs.DC]A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring
Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen
http://arxiv.org/abs/2012.00400v1
• [cs.DC]Byzantine Eventual Consistency and the Fundamental Limits of Peer-to-Peer Databases
Martin Kleppmann, Heidi Howard
http://arxiv.org/abs/2012.00472v1
• [cs.DC]LifeStream: A High-performance Stream Processing Engine for Waveform Data
Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko
http://arxiv.org/abs/2012.00192v1
• [cs.DS]Better Fewer but Better: Community Search with Outliers
Francesco Bonchi, Lorenzo Severini, Mauro Sozio
http://arxiv.org/abs/2012.00356v1
• [cs.GR]Farthest sampling segmentation of triangulated surfaces
Victoria Hernández-Mederos, Dimas Martínez, Jorge Estrada-Sarlabous, Valia Guerra-Ones
http://arxiv.org/abs/2012.00478v1
• [cs.HC]Why Did the Robot Cross the Road? A User Study of Explanation in Human-Robot Interaction
Zachary Taschdjian
http://arxiv.org/abs/2012.00078v1
• [cs.IR]A Statistical Real-Time Prediction Model for Recommender System
Md Rifat Arefin, Minhas Kamal, Kishan Kumar Ganguly, Tarek Salah Uddin Mahmud
http://arxiv.org/abs/2012.00501v1
• [cs.IR]Diversifying Relevant Phrases
Shreya Malani, Dinesh Gaurav, Anoop Vallabhajosyula, Rahul Agrawal
http://arxiv.org/abs/2012.00056v1
• [cs.IR]Fair Multi-Stakeholder News Recommender System with Hypergraph ranking
Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
http://arxiv.org/abs/2012.00387v1
• [cs.IR]Mixed Information Flow for Cross-domain Sequential Recommendations
Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Jun Ma, Maarten de rijke
http://arxiv.org/abs/2012.00485v1
• [cs.IT]A Contemporary Survey on Free Space Optical Communication: Potential, Technical Challenges, Recent Advances and Research Direction
Abu Jahid, Mohammed H. Alsharif, Trevor J. Hall
http://arxiv.org/abs/2012.00155v1
• [cs.IT]Adaptive Coding and Channel Shaping Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis
Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai
http://arxiv.org/abs/2012.00407v1
• [cs.IT]Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances
Jihao Fan, Jun Li, Jianxin Wang, Zhihui Wei, Min-Hsiu Hsieh
http://arxiv.org/abs/2012.00226v1
• [cs.IT]Fractal-based belief entropy
Qianli Zhou, Yong Deng
http://arxiv.org/abs/2012.00235v1
• [cs.IT]Hardware Implementation of Iterative Projection-Aggregation Decoding of Reed-Muller Codes
Marzieh Hashemipour-Nazari, Kees Goossens, Alexios Balatsoukas-Stimming
http://arxiv.org/abs/2012.00581v1
• [cs.IT]Improved Performance Guarantees for Orthogonal Group Synchronization via Generalized Power Method
Shuyang Ling
http://arxiv.org/abs/2012.00470v1
• [cs.IT]Iterative Error Decimation for Syndrome-Based Neural Network Decoders
Jorge Kysnney Santos Kamassury, Danilo Silva
http://arxiv.org/abs/2012.00089v1
• [cs.IT]Massive MIMO precoding and spectral shaping with low resolution DACs and active constellation extension
Amine Mezghani, Robert W. Heath Jr
http://arxiv.org/abs/2012.00259v1
• [cs.IT]On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests
Anusha Lalitha, Tara Javidi
http://arxiv.org/abs/2012.00077v1
• [cs.IT]Physical Layer Security Enhancement with Large Intelligent Surface-Assisted Networks
Jiayi Zhang, Hongyang Du, Derrick Wing Kwan Ng, Bo Ai
http://arxiv.org/abs/2012.00269v1
• [cs.IT]Reconfigurable Intelligent Surface Aided TeraHertz Communications Under Misalignment and Hardware Impairments
Hongyang Du, Jiayi Zhang, Ke Guan, Bo Ai, Thomas Kürner
http://arxiv.org/abs/2012.00267v1
• [cs.IT]Secrecy Performance of Body-Centric Communications over Alternate Rician Shadowed Fading Channels
Xiaoqi Wang, Jiayi Zhang, Hongyang Du, Ning Wang, Bo Ai
http://arxiv.org/abs/2012.00268v1
• [cs.IT]Signal Fractions Analysis and Safety-Distance Modeling in V2V Inter-lane Communications
Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan
http://arxiv.org/abs/2012.00347v1
• [cs.IT]Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation
Yinchuan Li, Xiaodong Wang, Robert L. Olesen
http://arxiv.org/abs/2012.00563v1
• [cs.IT]Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules
Jialong Xu, Bo Ai, Wei Chen, Ang Yang, Peng Sun
http://arxiv.org/abs/2012.00533v1
• [cs.LG](k, l)-Medians Clustering of Trajectories Using Continuous Dynamic Time Warping
Milutin Brankovic, Kevin Buchin, Koen Klaren, André Nusser, Aleksandr Popov, Sampson Wong
http://arxiv.org/abs/2012.00464v1
• [cs.LG]6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
http://arxiv.org/abs/2012.00596v1
• [cs.LG]A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
Khansa Rasheed, Junaid Qadir, Terence J. O’Brien, Levin Kuhlmann, Adeel Razi
http://arxiv.org/abs/2012.00430v1
• [cs.LG]A Hypergradient Approach to Robust Regression without Correspondence
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
http://arxiv.org/abs/2012.00123v1
• [cs.LG]A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance
Satya Narayan Shukla, Benjamin M. Marlin
http://arxiv.org/abs/2012.00168v1
• [cs.LG]An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data
Bahador Bahmani, WaiChing Sun
http://arxiv.org/abs/2012.00165v1
• [cs.LG]Analysis of Drifting Features
Fabian Hinder, Jonathan Jakob, Barbara Hammer
http://arxiv.org/abs/2012.00499v1
• [cs.LG]Assessing and Accelerating Coverage in Deep Reinforcement Learning
Arpan Kusari
http://arxiv.org/abs/2012.00724v1
• [cs.LG]Communication-Efficient Federated Distillation
Felix Sattler, Arturo Marban, Roman Rischke, Wojciech Samek
http://arxiv.org/abs/2012.00632v1
• [cs.LG]Consistent Representation Learning for High Dimensional Data Analysis
Stan Z. Li, Lirong Wu, Zelin Zang
http://arxiv.org/abs/2012.00481v1
• [cs.LG]Convergence and Sample Complexity of SGD in GANs
Vasilis Kontonis, Sihan Liu, Christos Tzamos
http://arxiv.org/abs/2012.00732v1
• [cs.LG]Crowd-Sourced Road Quality Mapping in the Developing World
Benjamin Choi, John Kamalu
http://arxiv.org/abs/2012.00179v1
• [cs.LG]Decentralized Multi-Agent Linear Bandits with Safety Constraints
Sanae Amani, Christos Thrampoulidis
http://arxiv.org/abs/2012.00314v1
• [cs.LG]Deconstructing the Structure of Sparse Neural Networks
Maxwell Van Gelder, Mitchell Wortsman, Kiana Ehsani
http://arxiv.org/abs/2012.00172v1
• [cs.LG]Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
Filippo Simini, Gianni Barlacchi, Massimiliano Luca, Luca Pappalardo
http://arxiv.org/abs/2012.00489v1
• [cs.LG]Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms
Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo, Nai-Wei Lo, Ernesto Damiani
http://arxiv.org/abs/2012.00348v1
• [cs.LG]Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles
Yihao Zhang, Zhaojie Chai, George Lykotrafitis
http://arxiv.org/abs/2012.00065v1
• [cs.LG]Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction
Chen Qian, Yunhai Xiong, Xiang Chen
http://arxiv.org/abs/2012.00404v1
• [cs.LG]Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju
http://arxiv.org/abs/2012.00423v1
• [cs.LG]Edge-assisted Democratized Learning Towards Federated Analytics
Shashi Raj Pandey, Minh N. H. Nguyen, Tri Nguyen Dang, Nguyen H. Tran, Kyi Thar, Zhu Han, Choong Seon Hong
http://arxiv.org/abs/2012.00425v1
• [cs.LG]Every Model Learned by Gradient Descent Is Approximately a Kernel Machine
Pedro Domingos
http://arxiv.org/abs/2012.00152v1
• [cs.LG]FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief
Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang
http://arxiv.org/abs/2012.00060v1
• [cs.LG]Fast-Convergent Federated Learning with Adaptive Weighting
Hongda Wu, Ping Wang
http://arxiv.org/abs/2012.00661v1
• [cs.LG]Field-wise Learning for Multi-field Categorical Data
Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
http://arxiv.org/abs/2012.00202v1
• [cs.LG]How to fine-tune deep neural networks in few-shot learning?
Peng Peng, Jiugen Wang
http://arxiv.org/abs/2012.00204v1
• [cs.LG]HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data
Sutanay Choudhury, Jenna A. Bilbrey, Logan Ward, Sotiris S. Xantheas, Ian Foster, Joseph P. Heindel, Ben Blaiszik, Marcus E. Schwarting
http://arxiv.org/abs/2012.00131v1
• [cs.LG]Improving cluster recovery with feature rescaling factors
Renato Cordeiro de Amorim, Vladimir Makarenkov
http://arxiv.org/abs/2012.00477v1
• [cs.LG]Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks
Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M Sanfilippo, Girish Dwivedi
http://arxiv.org/abs/2012.00220v1
• [cs.LG]Iterative VAE as a predictive brain model for out-of-distribution generalization
Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre
http://arxiv.org/abs/2012.00557v1
• [cs.LG]Latent Programmer: Discrete Latent Codes for Program Synthesis
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
http://arxiv.org/abs/2012.00377v1
• [cs.LG]Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach
Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
http://arxiv.org/abs/2012.00682v1
• [cs.LG]MILP-based Imitation Learning for HVAC control
Huy Truong Dinh, Daehee Kim
http://arxiv.org/abs/2012.00286v1
• [cs.LG]MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization
Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed
http://arxiv.org/abs/2012.00150v1
• [cs.LG]Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Wiebke Toussaint, Aaron Yi Ding
http://arxiv.org/abs/2012.00419v1
• [cs.LG]Multi-Modal Detection of Alzheimer’s Disease from Speech and Text
Amish Mittal, Sourav Sahoo, Arnhav Datar, Juned Kadiwala, Hrithwik Shalu, Jimson Mathew
http://arxiv.org/abs/2012.00096v1
• [cs.LG]Non-Stationary Latent Bandits
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier
http://arxiv.org/abs/2012.00386v1
• [cs.LG]PMLB v1.0: an open source dataset collection for benchmarking machine learning methods
Trang T. Le, William La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel Himmelstein, Weixuan Fu, Jason H. Moore
http://arxiv.org/abs/2012.00058v1
• [cs.LG]Probabilistic Grammars for Equation Discovery
Jure Brence, Ljupčo Todorovski, Sašo Džeroski
http://arxiv.org/abs/2012.00428v1
• [cs.LG]Problems of representation of electrocardiograms in convolutional neural networks
Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Alexey Khorkin, Grigory Osipov
http://arxiv.org/abs/2012.00493v1
• [cs.LG]Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models
Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani
http://arxiv.org/abs/2012.00195v1
• [cs.LG]Python Workflows on HPC Systems
Dominik Strassel, Philipp Reusch, Janis Keuper
http://arxiv.org/abs/2012.00365v1
• [cs.LG]Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond Veldhuis, Mykola Pechenizkiy
http://arxiv.org/abs/2012.00560v1
• [cs.LG]Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems
Katelyn Morrison
http://arxiv.org/abs/2011.13988v1
• [cs.LG]Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
Ashkan Khakzar, Soroosh Baselizadeh, Nassir Navab
http://arxiv.org/abs/2012.00362v1
• [cs.LG]Robust error bounds for quantised and pruned neural networks
Jiaqi Li, Ross Drummond, Stephen R. Duncan
http://arxiv.org/abs/2012.00138v1
• [cs.LG]Simulating Surface Wave Dynamics with Convolutional Networks
Mario Lino, Chris Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil Bharath
http://arxiv.org/abs/2012.00718v1
• [cs.LG]Solvable Model for Inheriting the Regularization through Knowledge Distillation
Luca Saglietti, Lenka Zdeborová
http://arxiv.org/abs/2012.00194v1
• [cs.LG]Task Allocation for Asynchronous Mobile Edge Learning with Delay and Energy Constraints
Umair Mohammad, Sameh Sorour, Mohamed Hefeida
http://arxiv.org/abs/2012.00143v1
• [cs.LG]TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
João Bento, Pedro Saleiro, André F. Cruz, Mário A. T. Figueiredo, Pedro Bizarro
http://arxiv.org/abs/2012.00073v1
• [cs.LG]Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung
http://arxiv.org/abs/2012.00211v1
• [cs.LG]Towards Auditability for Fairness in Deep Learning
Ivoline C. Ngong, Krystal Maughan, Joseph P. Near
http://arxiv.org/abs/2012.00106v1
• [cs.LG]Train Tracks with Gaps: Applying the Probabilistic Method to Trains
William Kuszmaul
http://arxiv.org/abs/2012.00589v1
• [cs.LG]Unsupervised Anomaly Detection From Semantic Similarity Scores
Nima Rafiee, Rahil Gholamipoor, Markus Kollmann
http://arxiv.org/abs/2012.00461v1
• [cs.LG]Use of Remote Sensing Data to Identify Air Pollution Signatures in India
Sivaramakrishnan KN, Lipika Deka, Manik Gupta
http://arxiv.org/abs/2012.00402v1
• [cs.LG]Using dynamical quantization to perform split attempts in online tree regressors
Saulo Martiello Mastelini, Andre Carlos Ponce de Leon Ferreira de Carvalho
http://arxiv.org/abs/2012.00083v1
• [cs.LG]Why model why? Assessing the strengths and limitations of LIME
Jürgen Dieber, Sabrina Kirrane
http://arxiv.org/abs/2012.00093v1
• [cs.NE]A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments
Dineshan Subramoney, Clement N. Nyirenda
http://arxiv.org/abs/2012.00176v1
• [cs.NI]Fog Computing Approaches in Smart Cities: A State-of-the-Art Review
Maryam Songhorabadi, Morteza Rahimi, Amir Mahdi Moghaddam Farid, Mostafa Haghi Kashani
http://arxiv.org/abs/2011.14732v2
• [cs.NI]Load balancing mechanisms in fog computing: A systematic review
Mostafa Haghi Kashani, Ahmad Ahmadzadeh, Ebrahim Mahdipour
http://arxiv.org/abs/2011.14706v2
• [cs.RO]Attention-Based Planning with Active Perception
Haoxiang Ma, Jie Fu
http://arxiv.org/abs/2012.00053v1
• [cs.RO]Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg
http://arxiv.org/abs/2012.00201v1
• [cs.RO]End-to-End UAV Simulation for Visual SLAM and Navigation
S. Chen, H. Chen, W. Zhou, C. -Y. Wen, B. Li
http://arxiv.org/abs/2012.00298v1
• [cs.RO]Fast and Robust Bin-picking System for Densely Piled Industrial Objects
Jiaxin Guo, Lian Fu, Mingkai Jia, Kaijun Wang, Shan Liu
http://arxiv.org/abs/2012.00316v1
• [cs.RO]Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication
Rupert Mitchell, Jan Blumenkamp, Amanda Prorok
http://arxiv.org/abs/2012.00508v1
• [cs.RO]Learning Sampling Distributions for Efficient High-Dimensional Motion Planning
Naman Shah, Abhyudaya Srinet, Siddharth Srivastava
http://arxiv.org/abs/2012.00658v1
• [cs.RO]Procedure for the Safety Assessment of an Autonomous Vehicle Using Real-World Scenarios
Erwin de Gelder, Olaf Op den Camp
http://arxiv.org/abs/2012.00643v1
• [cs.RO]Theoretical Evidence Supporting Harmonic Reaching Trajectories
Carlo Tiseo, Sydney Rebecca Charitos, Michael Mistry
http://arxiv.org/abs/2012.00453v1
• [cs.RO]Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots
Shatil Rahman, Steven L. Waslander
http://arxiv.org/abs/2012.00218v1
• [cs.RO]Visual Identification of Articulated Object Parts
Vicky Zeng, Timothy E. Lee, Jacky Liang, Oliver Kroemer
http://arxiv.org/abs/2012.00284v1
• [cs.SD]Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation
Ziye Yang, Shanzheng Guan, Xiao-Lei Zhang
http://arxiv.org/abs/2012.00403v1
• [cs.SD]MTM Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio?
Donghuo Zeng, Yi Yu, Keizo Oyama
http://arxiv.org/abs/2012.00290v1
• [cs.SI]Audience and Streamer Participation at Scale on Twitch
Claudia Flores-Saviaga, Jessica Hammer, Juan Pablo Flores, Joseph Seering, Stuart Reeves, Saiph Savage
http://arxiv.org/abs/2012.00215v1
• [cs.SI]How cumulative is technological knowledge?
P. G. J. Persoon, R. N. A. Bekkers, F. Alkemade
http://arxiv.org/abs/2012.00095v1
• [cs.SI]Identifying pandemic-related stress factors from social-media posts — effects on students and young-adults
Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey
http://arxiv.org/abs/2012.00333v1
• [cs.SI]Independence of the Fundamental Equation of the Oscillation Model on Algebraic Representations: Social Media Echo Chamber Effect
Kakeru Ohki, Ayako Hashizume, Masaki Aida
http://arxiv.org/abs/2012.00302v1
• [cs.SI]On the Equivalence Between High-Order Network-Influence Frameworks: General-Threshold, Hypergraph-Triggering, and Logic-Triggering Models
Wei Chen, Shang-Hua Teng, Hanrui Zhang
http://arxiv.org/abs/2012.00355v1
• [cs.SI]Spreading of performance fluctuations on real-world project networks
Iacopo Pozzana, Christos Ellinas, Georgios Kalogridis, Konstantinos Sakellariou
http://arxiv.org/abs/2012.00480v1
• [econ.EM]Double machine learning for (weighted) dynamic treatment effects
Hugo Bodory, Martin Huber, Lukáš Lafférs
http://arxiv.org/abs/2012.00370v1
• [eess.AS]A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data
Weicheng Cai, Ming Li
http://arxiv.org/abs/2012.00486v1
• [eess.IV]Model Adaptation for Inverse Problems in Imaging
Davis Gilton, Gregory Ongie, Rebecca Willett
http://arxiv.org/abs/2012.00139v1
• [eess.IV]On hallucinations in tomographic image reconstruction
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
http://arxiv.org/abs/2012.00646v1
• [eess.IV]Overcoming the limitations of patch-based learning to detect cancer in whole slide images
Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel
http://arxiv.org/abs/2012.00617v1
• [eess.IV]Unsupervised Deep Video Denoising
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
http://arxiv.org/abs/2011.15045v2
• [eess.SP]A Data-Driven Study to Discover, Characterize, and Classify Convergence Bidding Strategies in California ISO Energy Market
Ehsan Samani, Hamed Mohsenian-Rad
http://arxiv.org/abs/2012.00076v1
• [eess.SP]Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems
Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan
http://arxiv.org/abs/2012.00241v1
• [eess.SP]Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu
http://arxiv.org/abs/2012.00711v1
• [eess.SP]Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition
Juan Vidal Alegría, Fredrik Rusek, Ove Edfors
http://arxiv.org/abs/2012.00572v1
• [math-ph]The massive modular Hamiltonian
Roberto Longo, Gerardo Morsella
http://arxiv.org/abs/2012.00565v1
• [math.AG]Linear Spaces of Symmetric Matrices with Non-Maximal Maximum Likelihood Degree
Kathlen Kohn, Rosa Winter, Yuhan Jiang
http://arxiv.org/abs/2012.00145v1
• [math.AG]The Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices
Carlos Améndola, Lukas Gustafsson, Kathlén Kohn, Orlando Marigliano, Anna Seigal
http://arxiv.org/abs/2012.00198v1
• [math.CO]Further strengthening of upper bounds for perfect $k$-Hashing
Stefano Della Fiore, Simone Costa, Marco Dalai
http://arxiv.org/abs/2012.00620v1
• [math.NA]Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem
Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin, Dominik Wittwar
http://arxiv.org/abs/2012.00338v1
• [math.PR]Spectral Analysis of Word Statistics
Chaim Even-Zohar, Tsviqa Lakrec, Ran J. Tessler
http://arxiv.org/abs/2012.00742v1
• [math.ST]Functional Linear Regression with Mixed Predictors
Daren Wang, Zifeng Zhao, Yi Yu, Rebecca Willett
http://arxiv.org/abs/2012.00460v1
• [math.ST]Minimax bounds for estimating multivariate Gaussian location mixtures
Arlene K. H. Kim, Adityanand Guntuboyina
http://arxiv.org/abs/2012.00444v1
• [math.ST]Parameter Identification with Finite-Convergence Time Alertness Preservation
Romeo Ortega, Alexey Bobtsov, Nikolay Nikolaev
http://arxiv.org/abs/2012.00369v1
• [math.ST]Regular multidimensional stationary time series
Tamás Szabados
http://arxiv.org/abs/2012.00725v1
• [physics.data-an]Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics
Raghav Kansal, Javier Duarte, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopoulos
http://arxiv.org/abs/2012.00173v1
• [physics.soc-ph]Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk
Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stoecker, Yin Jiang, Kai Zhou
http://arxiv.org/abs/2012.00082v1
• [q-bio.NC]Single trial ERP amplitudes reveal the time course of acquiring representations of novel faces in individual participants
W. Sommer, K. Stapor, G. Konczak, K. Kotowski, P. Fabian, J. Ochab, A. Beres, G. Slusarczyk
http://arxiv.org/abs/2012.00667v1
• [q-bio.PE]Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
Cheng Zhang
http://arxiv.org/abs/2012.00459v1
• [q-bio.QM]Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
Lingjing Jiang, Niina Haiminen, Anna-Paola Carrieri, Shi Huang, Yoshiki Vazquez-Baeza, Laxmi Parida, Ho-Cheol Kim, Austin D. Swafford, Rob Knight, Loki Natarajan
http://arxiv.org/abs/2012.00001v1
• [q-fin.CP]mlOSP: Towards a Unified Implementation of Regression Monte Carlo Algorithms
Mike Ludkovski
http://arxiv.org/abs/2012.00729v1
• [quant-ph]Natural Evolutionary Strategies for Variational Quantum Computation
Abhinav Anand, Matthias Degroote, Alán Aspuru-Guzik
http://arxiv.org/abs/2012.00101v1
• [stat.AP]A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer’s Disease
Zihuan Liu, Tapabrate Maiti, Andrew R. Bender
http://arxiv.org/abs/2012.00538v1
• [stat.AP]Bayesian classification for dating archaeological sites via projectile points
Carmen Armero, Gonzalo García-Donato, Joaquín Jiménez-Puerto, Salvador Pardo-Gordó, Joan Bernabeu
http://arxiv.org/abs/2012.00657v1
• [stat.AP]Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model
Xinyu Wang, Lu Yang, Hong Zhang, Zhouwang Yang, Catherine Liu
http://arxiv.org/abs/2012.00397v1
• [stat.AP]Measuring and assessing economic uncertainty
Oscar Claveria
http://arxiv.org/abs/2012.00722v1
• [stat.AP]Permutation-based true discovery proportions for fMRI cluster analysis
Angela Andreella, Jesse Hemerik, Wouter Weeda, Livio Finos, Jelle Goeman
http://arxiv.org/abs/2012.00368v1
• [stat.AP]Seasonal association between viral etiologies of hospitalized acute lower respiratory infections and meteorological factors in China
Bing Xu, Jinfeng Wang, Zhongjie Li, Chengdong Xu, Yilan Liao, Maogui Hu, Jing Yang, Shengjie Lai, Liping Wang, Weizhong Yang
http://arxiv.org/abs/2012.00229v1
• [stat.AP]Semi-Mechanistic Bayesian Modeling of COVID-19 with Renewal Processes
Samir Bhatt, Neil Ferguson, Seth Flaxman, Axel Gandy, Swapnil Mishra, James A. Scott
http://arxiv.org/abs/2012.00394v1
• [stat.CO]DNA mixture deconvolution using an evolutionary algorithm with multiple populations, hill-climbing, and guided mutation
Søren B. Vilsen, Torben Tvedebrink, Poul Svante Eriksen
http://arxiv.org/abs/2012.00513v1
• [stat.ME]A new approach to the gender pay gap decomposition by economic activity
M. J. Lombardía, E. López-Vizcaíno, C. Rueda
http://arxiv.org/abs/2012.00064v1
• [stat.ME]Anisotropic local constant smoothing for change-point regression function estimation
John R. J. Thompson, W. John Braun
http://arxiv.org/abs/2012.00180v1
• [stat.ME]Area-level spatio-temporal Poisson mixed models for predicting domain counts and proportions
M. Boubeta, M. J. Lombardía, F. Marey-Pérez, D. Morales
http://arxiv.org/abs/2012.00069v1
• [stat.ME]BayesTime: Bayesian Functional Principal Components for Sparse Longitudinal Data
Lingjing Jiang, Yuan Zhong, Chris Elrod, Loki Natarajan, Rob Knight, Wesley K. Thompson
http://arxiv.org/abs/2012.00579v1
• [stat.ME]Data Fusion for Joining Income and Consumption Information Using Different Donor-Recipient Distance Metrics
Florian Meinfelder, Jannik Schaller
http://arxiv.org/abs/2012.00081v1
• [stat.ME]Empirical best prediction of small area bivariate parameters
M. D. Esteban, M. J. Lombardía, E. López-Vizcaíno, D. Morales, A. Pérez
http://arxiv.org/abs/2012.00054v1
• [stat.ME]General Regression Methods for Respondent-Driven Sampling Data
Mamadou Yauck, Erica E. M. Moodie, Herak Apelian, Alain Fourmigue, Daniel Grace, Trevor Hart, Gilles Lambert, Joseph Cox
http://arxiv.org/abs/2012.00457v1
• [stat.ME]Modified Dorfman procedure for pool tests with dilution — COVID-19 case study
Andrzej Jaszkiewicz
http://arxiv.org/abs/2012.00673v1
• [stat.ME]What are the most important statistical ideas of the past 50 years?
Andrew Gelman, Aki Vehtari
http://arxiv.org/abs/2012.00174v1
• [stat.ML]Contagion Dynamics for Manifold Learning
Barbara I. Mahler
http://arxiv.org/abs/2012.00091v1
• [stat.ML]Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers
Alexander Soen, Hisham Husain, Richard Nock
http://arxiv.org/abs/2012.00188v1
• [stat.ML]Debiasing Evaluations That are Biased by Evaluations
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
http://arxiv.org/abs/2012.00714v1
• [stat.ML]Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?
Maren Hackenberg, Philipp Harms, Thorsten Schmidt, Harald Binder
http://arxiv.org/abs/2012.00634v1
• [stat.ML]Generalization and Memorization: The Bias Potential Model
Hongkang Yang, Weinan E
http://arxiv.org/abs/2011.14269v2
• [stat.ML]Mutual Information Constraints for Monte-Carlo Objectives
Gábor Melis, András György, Phil Blunsom
http://arxiv.org/abs/2012.00708v1
• [stat.ML]Representing and Denoising Wearable ECG Recordings
Jeffrey Chan, Andrew C. Miller, Emily B. Fox
http://arxiv.org/abs/2012.00110v1
• [stat.ML]The FEDHC Bayesian network learning algorithm
Michail Tsagris
http://arxiv.org/abs/2012.00113v1
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