cond-mat.soft - 软凝聚物质 cond-mat.str-el - 强关联电子系统 cs.AI - 人工智能 cs.CL - 计算与语言 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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 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.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 q-fin.CP -计算金融学 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.soft]Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning
• [cond-mat.str-el]Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
• [cs.AI]A Survey On (Stochastic Fractal Search) Algorithm
• [cs.AI]Agent Incentives: A Causal Perspective
• [cs.AI]Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects
• [cs.AI]Detection of Racial Bias from Physiological Responses
• [cs.AI]Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence
• [cs.AI]Modular approach to data preprocessing in ALOHA and application to a smart industry use case
• [cs.AI]The 4th International Workshop on Smart Simulation and Modelling for Complex Systems
• [cs.CL]”Is depression related to cannabis?”: A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
• [cs.CL]An Improved Baseline for Sentence-level Relation Extraction
• [cs.CL]CTC-based Compression for Direct Speech Translation
• [cs.CL]Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT)
• [cs.CL]Generative Spoken Language Modeling from Raw Audio
• [cs.CL]Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
• [cs.CL]Inducing Meaningful Units from Character Sequences with Slot Attention
• [cs.CL]MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation
• [cs.CL]MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
• [cs.CL]Neural Data Augmentation via Example Extrapolation
• [cs.CL]On Robustness of Neural Semantic Parsers
• [cs.CL]Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data
• [cs.CL]The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
• [cs.CL]The impact of external innovation on new drug approvals: A retrospective analysis
• [cs.CL]Two Demonstrations of the Machine Translation Applications to Historical Documents
• [cs.CV]A NIR-to-VIS face recognition via part adaptive and relation attention module
• [cs.CV]Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes
• [cs.CV]Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
• [cs.CV]Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
• [cs.CV]Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images — an in-depth Analysis
• [cs.CV]Deep Online Fused Video Stabilization
• [cs.CV]Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT
• [cs.CV]Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
• [cs.CV]Exploiting Raw Images for Real-Scene Super-Resolution
• [cs.CV]Face Recognition Using With Higher Feature Discrimination
• [cs.CV]Face Recognition using 3D CNNs
• [cs.CV]Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region
• [cs.CV]From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images
• [cs.CV]GCF-Net: Gated Clip Fusion Network for Video Action Recognition
• [cs.CV]Hardware-efficient Residual Networks for FPGAs
• [cs.CV]Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
• [cs.CV]Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
• [cs.CV]Model-based multi-parameter mapping
• [cs.CV]Occluded Video Instance Segmentation
• [cs.CV]Orientation Convolutional Networks for Image Recognition
• [cs.CV]Progressive Localization Networks for Language-based Moment Localization
• [cs.CV]Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
• [cs.CV]RectiNet-v2: A stacked network architecture for document image dewarping
• [cs.CV]Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
• [cs.CV]Test-Time Adaptation for Out-of-distributed Image Inpainting
• [cs.CV]Tight-Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry
• [cs.CV]Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement
• [cs.CV]Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement
• [cs.CV]U-LanD: Uncertainty-Driven Video Landmark Detection
• [cs.CV]Underwater Image Enhancement via Learning Water Type Desensitized Representations
• [cs.CV]Video Transformer Network
• [cs.CV]toon2real: Translating Cartoon Images to Realistic Images
• [cs.CY]Decentralizing Supply Chain Anti-Counterfeiting Systems Using Blockchain Technology
• [cs.CY]Emergent Unfairness: Normative Assumptions and Contradictions in Algorithmic Fairness-Accuracy Trade-Off Research
• [cs.CY]The Limits of Global Inclusion in AI Development
• [cs.CY]The Privatization of AI Research(-ers): Causes and Potential Consequences — From university-industry interaction to public research brain-drain?
• [cs.CY]When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
• [cs.DC]A Weak Consensus Algorithm and Its Application to High-Performance Blockchain
• [cs.DC]Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling
• [cs.DC]Cloud Computing Concept and Roots
• [cs.DC]Consensus in Networks Prone to Link Failures
• [cs.DC]Customizing Graph500 for Tianhe Pre-exacale system
• [cs.DC]QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning
• [cs.DC]Two Social Concepts in Virtual Communities: Trust and Reputation
• [cs.DC]wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks
• [cs.DS]A Tight Bound for Stochastic Submodular Cover
• [cs.DS]Tree trace reconstruction using subtraces
• [cs.GT]Resource Availability in the Social Cloud: An Economics Perspective
• [cs.HC]Child-Computer Interaction: Recent Works, New Dataset, and Age Detection
• [cs.IT]A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching
• [cs.IT]Ambient Backscatter-Assisted Wireless-Powered Relaying
• [cs.IT]Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36
• [cs.IT]Common Randomness Generation over Slow Fading Channels
• [cs.IT]D2D-Aided Multi-Antenna Multicasting under Generalized CSIT
• [cs.IT]Data Freshness in Mixed-Memory Intermittently-Powered Systems
• [cs.IT]Deep Learning based Joint Precoder Design and Antenna Selection for Partially Connected Hybrid Massive MIMO Systems
• [cs.IT]Every Bit Counts: Second-Order Analysis of Cooperation in the Multiple-Access Channel
• [cs.IT]Group Testing in the High Dilution Regime
• [cs.IT]Identification over the Gaussian Channel in the Presence of Feedback
• [cs.IT]Improved Multi-access Coded Caching Schemes from Cross Resolvable Designs
• [cs.IT]Information Energy Capacity Region for SWIPT Systems over Raylegh-Fading Channels
• [cs.IT]Joint Active and Passive Beamforming for IRS-Assisted Multi-User MIMO Systems: A VAMP Approach
• [cs.IT]Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems
• [cs.IT]Local Differential Privacy Is Equivalent to Contraction of -Divergence
• [cs.IT]Moment Generating Function of the AoI in Multi-Source Systems with Computation-Intensive Status Updates
• [cs.IT]Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform
• [cs.IT]On Codes for the Noisy Substring Channel
• [cs.IT]On Skew Convolutional and Trellis Codes
• [cs.IT]On conditional Sibson’s -Mutual Information
• [cs.IT]On optimal relay placement in directional networks
• [cs.IT]Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources
• [cs.IT]Outage Analysis of Uplink IRS-Assisted NOMA under Elements Splitting
• [cs.IT]Permute & Add Network Codes via Group Algebras
• [cs.IT]Private Linear Transformation: The Individual Privacy Case
• [cs.IT]Private Linear Transformation: The Joint Privacy Case
• [cs.IT]Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding
• [cs.IT]Temporal CSI Correlation in Mixed RF/FSO Cooperative Relaying Systems Under Joint Effects of HPA Nonlinearities and IQ Imbalance
• [cs.LG]A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants
• [cs.LG]AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset
• [cs.LG]Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
• [cs.LG]AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
• [cs.LG]Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
• [cs.LG]Benchmarking Quantized Neural Networks on FPGAs with FINN
• [cs.LG]Bit Error Tolerance Metrics for Binarized Neural Networks
• [cs.LG]Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
• [cs.LG]Depth separation beyond radial functions
• [cs.LG]Drift Estimation with Graphical Models
• [cs.LG]Evaluating the Interpretability of Generative Models by Interactive Reconstruction
• [cs.LG]FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
• [cs.LG]Fast Exploration of Weight Sharing Opportunities for CNN Compression
• [cs.LG]Fast Training of Provably Robust Neural Networks by SingleProp
• [cs.LG]Federated Learning in Smart Cities: A Comprehensive Survey
• [cs.LG]Gaussian Experts Selection using Graphical Models
• [cs.LG]Graph Classification Based on Skeleton and Component Features
• [cs.LG]Graph Coarsening with Neural Networks
• [cs.LG]GraphDF: A Discrete Flow Model for Molecular Graph Generation
• [cs.LG]Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
• [cs.LG]It’s always personal: Using Early Exits for Efficient On-Device CNN Personalisation
• [cs.LG]Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization
• [cs.LG]Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus
• [cs.LG]Metrics and continuity in reinforcement learning
• [cs.LG]Mining Feature Relationships in Data
• [cs.LG]Mining Feature Relationships in Data
• [cs.LG]Multi-modal Ensemble Models for Predicting Video Memorability
• [cs.LG]OPAM: Online Purchasing-behavior Analysis using Machine learning
• [cs.LG]Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games
• [cs.LG]Predicting student performance using data from an auto-grading system
• [cs.LG]Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
• [cs.LG]Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network
• [cs.LG]Real-time detection of uncalibrated sensors using Neural Networks
• [cs.LG]Recent Advances in Adversarial Training for Adversarial Robustness
• [cs.LG]Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices
• [cs.LG]Report of the Workshop on Program Synthesis for Scientific Computing
• [cs.LG]Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
• [cs.LG]SGD Generalizes Better Than GD (And Regularization Doesn’t Help)
• [cs.LG]Scaling Laws for Transfer
• [cs.LG]Size Matters
• [cs.LG]Stability-Constrained Markov Decision Processes Using MPC
• [cs.LG]Strongly Adaptive OCO with Memory
• [cs.LG]Super-klust: Another Way of Piecewise Linear Classification
• [cs.LG]Symmetric Boolean Factor Analysis with Applications to InstaHide
• [cs.LG]System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring
• [cs.LG]The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication
• [cs.LG]TinyML for Ubiquitous Edge AI
• [cs.LG]Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis
• [cs.LG]Unassisted Noise Reduction of Chemical Reaction Data Sets
• [cs.LG]pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs
• [cs.LO]Verifying the Hashgraph Consensus Algorithm
• [cs.MA]An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours
• [cs.MA]Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
• [cs.MM]Fake-image detection with Robust Hashing
• [cs.MM]Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
• [cs.NE]Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
• [cs.NE]Stronger Separation of Analog Neuron Hierarchy by Deterministic Context-Free Languages
• [cs.RO]A Hierarchical Multi-Robot Mapping Architecture Subject to Communication Constraints
• [cs.RO]An Open-Source Modular Robotic System for Telepresence and Remote Disinfection
• [cs.RO]Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
• [cs.RO]Kinova Gen3-Lite manipulator inverse kinematics: optimal polynomial solution
• [cs.RO]MPC path-planner for autonomous driving solved by genetic algorithm technique
• [cs.RO]Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations
• [cs.RO]Subdimensional Expansion for Multi-objective Multi-agent Path Finding
• [cs.RO]Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection
• [cs.SD]Deep Music Information Dynamics
• [cs.SD]PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation
• [cs.SD]SPEAK WITH YOUR HANDS Using Continuous Hand Gestures to control Articulatory Speech Synthesizer
• [cs.SD]WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit
• [cs.SE]Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
• [cs.SE]Fast Parametric Model Checking through Model Fragmentation
• [cs.SI]A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter
• [cs.SI]Understanding collective human movement dynamics during large-scale events using big geosocial data analytics
• [econ.EM]Adaptive Random Bandwidth for Inference in CAViaR Models
• [econ.EM]Efficient Estimation for Staggered Rollout Designs
• [econ.TH]Games on Endogenous Networks
• [eess.AS]Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
• [eess.AS]Multimodal Attention Fusion for Target Speaker Extraction
• [eess.AS]The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap
• [eess.AS]Universal Neural Vocoding with Parallel WaveNet
• [eess.IV]Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation
• [eess.IV]Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning
• [eess.IV]Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
• [eess.IV]Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
• [eess.IV]Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
• [eess.IV]Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
• [eess.IV]Mobile-end Tone Mapping based on Integral Image and Integral Histogram
• [eess.IV]Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
• [eess.IV]Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR
• [eess.IV]Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
• [eess.IV]aura-net : robust segmentation of phase-contrast microscopy images with few annotations
• [eess.SP]A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
• [eess.SY]Development and Simulation-based Testing of a 5G-Connected Intersection AEB System
• [math.OC]Community Detection with a Subsampled Semidefinite Program
• [math.OC]Distributed Zero-Order Optimization under Adversarial Noise
• [math.PR]Divergence of an integral of a process with small ball estimate
• [math.ST]An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models
• [math.ST]Optimal Sequential Detection of Signals with Unknown Appearance and Disappearance Points in Time
• [math.ST]Transition kernel couplings of the Metropolis-Hastings algorithm
• [physics.geo-ph]Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
• [physics.soc-ph]A statistical analysis of death rates in Italy for the years 2015—2020 and a comparison with the casualties reported for the COVID-19 pandemic
• [physics.soc-ph]Predicting Propensity to Vote with Machine Learning
• [q-bio.GN]The Gene Mover’s Distance: Single-cell similarity via Optimal Transport
• [q-bio.NC]When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning
• [q-fin.CP]A Stochastic Time Series Model for Predicting Financial Trends using NLP
• [quant-ph]Capacity and quantum geometry of parametrized quantum circuits
• [quant-ph]Conditional distributions for quantum systems
• [stat.AP]Bayesian analysis of population health data
• [stat.AP]Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment
• [stat.AP]Dynamic modeling of mortality via mixtures of skewed distribution functions
• [stat.AP]Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks
• [stat.ME]Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
• [stat.ME]Double bootstrapping for visualising the distribution of descriptive statistics of functional data
• [stat.ME]G-Formula for Observational Studies with Partial Interference, with Application to Bed Net Use on Malaria
• [stat.ME]Robust Functional Principal Component Analysis for Non-Gaussian Continuous Data to Analyze Physical Activity Data Generated by Accelerometers
• [stat.ML]Beyond the Signs: Nonparametric Tensor Completion via Sign Series
• [stat.ML]Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning
• [stat.ML]Doubly Robust Thompson Sampling for linear payoffs
• [stat.ML]Exact Langevin Dynamics with Stochastic Gradients
• [stat.ML]Generalized non-stationary bandits
• [stat.ML]Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
• [stat.ML]Policy Analysis using Synthetic Controls in Continuous-Time
• [stat.ML]Robust data-driven discovery of partial differential equations with time-dependent coefficients
• [stat.ML]Stability and Generalization of the Decentralized Stochastic Gradient Descent
• [stat.ML]Time Adaptive Gaussian Model
·····································
• [cond-mat.soft]Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning
Patrick Reiser, Manuel Konrad, Artem Fediai, Salvador Léon, Wolfgang Wenzel, Pascal Friederich
http://arxiv.org/abs/2102.01479v1
• [cond-mat.str-el]Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
Nihal Rao, Ke Liu, Marc Machaczek, Lode Pollet
http://arxiv.org/abs/2102.01103v1
• [cs.AI]A Survey On (Stochastic Fractal Search) Algorithm
Mohammed ElKomy
http://arxiv.org/abs/2102.01503v1
• [cs.AI]Agent Incentives: A Causal Perspective
Tom Everitt, Ryan Carey, Eric Langlois, Pedro A Ortega, Shane Legg
http://arxiv.org/abs/2102.01685v1
• [cs.AI]Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects
Ondřej Sokol, Vladimír Holý
http://arxiv.org/abs/2102.01424v1
• [cs.AI]Detection of Racial Bias from Physiological Responses
Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab
http://arxiv.org/abs/2102.01287v1
• [cs.AI]Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence
Michael Chary, Ed W Boyer, Michele M Burns
http://arxiv.org/abs/2102.01116v1
• [cs.AI]Modular approach to data preprocessing in ALOHA and application to a smart industry use case
Cristina Chesta, Luca Rinelli
http://arxiv.org/abs/2102.01349v1
• [cs.AI]The 4th International Workshop on Smart Simulation and Modelling for Complex Systems
Xing Su, Yan Kong, Weihua Li
http://arxiv.org/abs/2102.01190v1
• [cs.CL]“Is depression related to cannabis?”: A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit Sheth
http://arxiv.org/abs/2102.01222v1
• [cs.CL]An Improved Baseline for Sentence-level Relation Extraction
Wenxuan Zhou, Muhao Chen
http://arxiv.org/abs/2102.01373v1
• [cs.CL]CTC-based Compression for Direct Speech Translation
Marco Gaido, Mauro Cettolo, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2102.01578v1
• [cs.CL]Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT)
Muhammad N. Fakhruzzaman, Saidah Z. Jannah, Ratih A. Ningrum, Indah Fahmiyah
http://arxiv.org/abs/2102.01497v1
• [cs.CL]Generative Spoken Language Modeling from Raw Audio
Kushal Lakhotia, Evgeny Kharitonov, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Benjamin Bolte, Tu-Anh Nguyen, Jade Copet, Alexei Baevski, Adelrahman Mohamed, Emmanuel Dupoux
http://arxiv.org/abs/2102.01192v1
• [cs.CL]Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
Despina Christou, Grigorios Tsoumakas
http://arxiv.org/abs/2102.01156v1
• [cs.CL]Inducing Meaningful Units from Character Sequences with Slot Attention
Melika Behjati, James Henderson
http://arxiv.org/abs/2102.01223v1
• [cs.CL]MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaid Harchaoui
http://arxiv.org/abs/2102.01454v1
• [cs.CL]MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi
http://arxiv.org/abs/2102.01263v1
• [cs.CL]Neural Data Augmentation via Example Extrapolation
Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung
http://arxiv.org/abs/2102.01335v1
• [cs.CL]On Robustness of Neural Semantic Parsers
Shuo Huang, Zhuang Li, Lizhen Qu1, Lei Pan
http://arxiv.org/abs/2102.01563v1
• [cs.CL]Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data
Dian Yu, Kai Sun, Dong Yu, Claire Cardie
http://arxiv.org/abs/2102.01226v1
• [cs.CL]The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondřej Dušek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
http://arxiv.org/abs/2102.01672v1
• [cs.CL]The impact of external innovation on new drug approvals: A retrospective analysis
Xiong Liu, Craig E. Thomas, Christian C. Felder
http://arxiv.org/abs/2102.01260v1
• [cs.CL]Two Demonstrations of the Machine Translation Applications to Historical Documents
Miguel Domingo, Francisco Casacuberta
http://arxiv.org/abs/2102.01417v1
• [cs.CV]A NIR-to-VIS face recognition via part adaptive and relation attention module
Rushuang Xu, MyeongAh Cho, Sangyoun Lee
http://arxiv.org/abs/2102.00689v1
• [cs.CV]Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes
Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll
http://arxiv.org/abs/2102.01161v1
• [cs.CV]Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He
http://arxiv.org/abs/2102.01256v1
• [cs.CV]Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
Jian Zhang, Ying Tai, Taiping Yao, Jia Meng, Shouhong Ding, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji
http://arxiv.org/abs/2102.00713v1
• [cs.CV]Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images — an in-depth Analysis
Quentin Paletta, Guillaume Arbod, Joan Lasenby
http://arxiv.org/abs/2102.00721v2
• [cs.CV]Deep Online Fused Video Stabilization
Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
http://arxiv.org/abs/2102.01279v1
• [cs.CV]Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT
Francesco Paissan, Massimo Gottardi, Elisabetta Farella
http://arxiv.org/abs/2102.01340v1
• [cs.CV]Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
http://arxiv.org/abs/2102.01187v1
• [cs.CV]Exploiting Raw Images for Real-Scene Super-Resolution
Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang
http://arxiv.org/abs/2102.01579v1
• [cs.CV]Face Recognition Using With Higher Feature Discrimination
Nayaneesh Kumar Mishra, Satish Kumar Singh
http://arxiv.org/abs/2102.01404v1
• [cs.CV]Face Recognition using 3D CNNs
Nayaneesh Kumar Mishra, Satish Kumar Singh
http://arxiv.org/abs/2102.01441v1
• [cs.CV]Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region
Dong-Keon Kim, DongHee Kim, Kwangsu Kim
http://arxiv.org/abs/2102.01381v1
• [cs.CV]From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images
Wei-Lin Hsiao, Kristen Grauman
http://arxiv.org/abs/2102.01690v1
• [cs.CV]GCF-Net: Gated Clip Fusion Network for Video Action Recognition
Jenhao Hsiao, Jiawei Chen, Chiuman Ho
http://arxiv.org/abs/2102.01285v1
• [cs.CV]Hardware-efficient Residual Networks for FPGAs
Olivia Weng, Alireza Khodamoradi, Ryan Kastner
http://arxiv.org/abs/2102.01351v1
• [cs.CV]Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
Yi-Jun Cao, Chuan Lin, Yong-Jie Li
http://arxiv.org/abs/2102.01301v1
• [cs.CV]Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto
http://arxiv.org/abs/2102.01460v1
• [cs.CV]Model-based multi-parameter mapping
Yael Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
http://arxiv.org/abs/2102.01604v1
• [cs.CV]Occluded Video Instance Segmentation
Jiyang Qi, Yan Gao, Xiaoyu Liu, Yao Hu, Xinggang Wang, Xiang Bai, Philip H. S. Torr, Serge Belongie, Alan Yuille, Song Bai
http://arxiv.org/abs/2102.01558v1
• [cs.CV]Orientation Convolutional Networks for Image Recognition
Yalan Qin, Guorui Feng, Hanzhou Wu, Yanli Ren, Xinpeng Zhang
http://arxiv.org/abs/2102.01523v1
• [cs.CV]Progressive Localization Networks for Language-based Moment Localization
Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Shouling Ji, Xun Wang
http://arxiv.org/abs/2102.01282v1
• [cs.CV]Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
Cheng Ma, Jiwen Lu, Jie Zhou
http://arxiv.org/abs/2102.01486v1
• [cs.CV]RectiNet-v2: A stacked network architecture for document image dewarping
Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri
http://arxiv.org/abs/2102.01120v1
• [cs.CV]Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu
http://arxiv.org/abs/2102.01284v1
• [cs.CV]Test-Time Adaptation for Out-of-distributed Image Inpainting
Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee
http://arxiv.org/abs/2102.01360v1
• [cs.CV]Tight-Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry
Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers
http://arxiv.org/abs/2102.01191v1
• [cs.CV]Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement
Jusang Lee, Minyoung Chung, Minkyung Lee, Yeong-Gil Shin
http://arxiv.org/abs/2102.01315v1
• [cs.CV]Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement
Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding
http://arxiv.org/abs/2102.00670v1
• [cs.CV]U-LanD: Uncertainty-Driven Video Landmark Detection
Mohammad H. Jafari, Christina Luong, Michael Tsang, Ang Nan Gu, Nathan Van Woudenberg, Robert Rohling, Teresa Tsang, Purang Abolmaesumi
http://arxiv.org/abs/2102.01586v1
• [cs.CV]Underwater Image Enhancement via Learning Water Type Desensitized Representations
Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding
http://arxiv.org/abs/2102.00676v1
• [cs.CV]Video Transformer Network
Daniel Neimark, Omri Bar, Maya Zohar, Dotan Asselmann
http://arxiv.org/abs/2102.00719v1
• [cs.CV]toon2real: Translating Cartoon Images to Realistic Images
K. M. Arefeen Sultan, Mohammad Imrul Jubair, MD. Nahidul Islam, Sayed Hossain Khan
http://arxiv.org/abs/2102.01143v1
• [cs.CY]Decentralizing Supply Chain Anti-Counterfeiting Systems Using Blockchain Technology
Neo C. K. Yiu
http://arxiv.org/abs/2102.01456v1
• [cs.CY]Emergent Unfairness: Normative Assumptions and Contradictions in Algorithmic Fairness-Accuracy Trade-Off Research
A. Feder Cooper, Ellen Abrams
http://arxiv.org/abs/2102.01203v1
• [cs.CY]The Limits of Global Inclusion in AI Development
Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang
http://arxiv.org/abs/2102.01265v1
• [cs.CY]The Privatization of AI Research(-ers): Causes and Potential Consequences — From university-industry interaction to public research brain-drain?
Roman Jurowetzki, Daniel Hain, Juan Mateos-Garcia, Konstantinos Stathoulopoulos
http://arxiv.org/abs/2102.01648v1
• [cs.CY]When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
http://arxiv.org/abs/2102.00141v2
• [cs.DC]A Weak Consensus Algorithm and Its Application to High-Performance Blockchain
Qin Wang, Rujia Li
http://arxiv.org/abs/2102.00872v2
• [cs.DC]Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling
Dalia Popescu, Philippe Jacquet, Bernard Mans, Bartomiej Blaszczyszyn
http://arxiv.org/abs/2102.01241v1
• [cs.DC]Cloud Computing Concept and Roots
Bola Abimbola
http://arxiv.org/abs/2102.00981v1
• [cs.DC]Consensus in Networks Prone to Link Failures
Bogdan S. Chlebus, Dariusz R. Kowalski, Jan Olkowski, Jedrzej Olkowski
http://arxiv.org/abs/2102.01251v1
• [cs.DC]Customizing Graph500 for Tianhe Pre-exacale system
Xinbiao Gan
http://arxiv.org/abs/2102.01254v1
• [cs.DC]QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning
Dainius Jenkus, Fei Xia, Rishad Shafik, Alex Yakovlev
http://arxiv.org/abs/2102.01348v1
• [cs.DC]Two Social Concepts in Virtual Communities: Trust and Reputation
Yusuf Samil Ezer
http://arxiv.org/abs/2102.01413v1
• [cs.DC]wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks
Minghui Xu, Chunchi Liu, Yifei Zou, Feng Zhao, Jiguo Yu, Xiuzhen Cheng
http://arxiv.org/abs/2102.01333v1
• [cs.DS]A Tight Bound for Stochastic Submodular Cover
Lisa Hellerstein, Devorah Kletenik, Srinivasan Parthasarathy
http://arxiv.org/abs/2102.01149v1
• [cs.DS]Tree trace reconstruction using subtraces
Tatiana Brailovskaya, Miklós Z. Rácz
http://arxiv.org/abs/2102.01541v1
• [cs.GT]Resource Availability in the Social Cloud: An Economics Perspective
Pramod C. Mane, Nagarajan Krishnamurthy, Kapil Ahuja
http://arxiv.org/abs/2102.01071v1
• [cs.HC]Child-Computer Interaction: Recent Works, New Dataset, and Age Detection
Ruben Tolosana, Juan Carlos Ruiz-Garcia, Ruben Vera-Rodriguez, Jaime Herreros-Rodriguez, Sergio Romero-Tapiador, Aythami Morales, Julian Fierrez
http://arxiv.org/abs/2102.01405v1
• [cs.IT]A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching
Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
http://arxiv.org/abs/2102.01643v1
• [cs.IT]Ambient Backscatter-Assisted Wireless-Powered Relaying
Xiao Lu, Dusit Niyato, Hai Jiang, Ekram Hossain, Ping Wang
http://arxiv.org/abs/2102.01639v1
• [cs.IT]Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36
Arman Sharififar, Parastoo Sadeghi, Neda Aboutorab
http://arxiv.org/abs/2102.01526v1
• [cs.IT]Common Randomness Generation over Slow Fading Channels
Rami Ezzine, Moritz Wiese, Christian Deppe, Holger Boche
http://arxiv.org/abs/2102.01197v1
• [cs.IT]D2D-Aided Multi-Antenna Multicasting under Generalized CSIT
Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert
http://arxiv.org/abs/2102.01624v1
• [cs.IT]Data Freshness in Mixed-Memory Intermittently-Powered Systems
James Scott Broadhead, Przemysław Pawełczak
http://arxiv.org/abs/2102.01572v1
• [cs.IT]Deep Learning based Joint Precoder Design and Antenna Selection for Partially Connected Hybrid Massive MIMO Systems
Salman Khalid, Waqas bin Abbas, Farhan Khalid
http://arxiv.org/abs/2102.01495v1
• [cs.IT]Every Bit Counts: Second-Order Analysis of Cooperation in the Multiple-Access Channel
Oliver Kosut, Michelle Effros, Michael Langberg
http://arxiv.org/abs/2102.01247v1
• [cs.IT]Group Testing in the High Dilution Regime
Gabriel Arpino, Nicolò Grometto, Afonso S. Bandeira
http://arxiv.org/abs/2102.01200v1
• [cs.IT]Identification over the Gaussian Channel in the Presence of Feedback
Wafa Labidi, Holger Boche, Christian Deppe, Moritz Wiese
http://arxiv.org/abs/2102.01198v1
• [cs.IT]Improved Multi-access Coded Caching Schemes from Cross Resolvable Designs
Pooja Nayak Muralidhar, Digvijay Katyal, B. Sundar Rajan
http://arxiv.org/abs/2102.01372v1
• [cs.IT]Information Energy Capacity Region for SWIPT Systems over Raylegh-Fading Channels
Nizar Khalfet, Ioannis Krikidis
http://arxiv.org/abs/2102.01328v1
• [cs.IT]Joint Active and Passive Beamforming for IRS-Assisted Multi-User MIMO Systems: A VAMP Approach
Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani, and Ekram Hossain
http://arxiv.org/abs/2102.01232v1
• [cs.IT]Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems
Weiheng Jiang, Yu Zhang
http://arxiv.org/abs/2102.01414v1
• [cs.IT]Local Differential Privacy Is Equivalent to Contraction of -Divergence
Shahab Asoodeh, Maryam Aliakbarpour, Flavio P. Calmon
http://arxiv.org/abs/2102.01258v1
• [cs.IT]Moment Generating Function of the AoI in Multi-Source Systems with Computation-Intensive Status Updates
Mohammad Moltafet, Markus Leinonen, Marian Codreanu
http://arxiv.org/abs/2102.01126v1
• [cs.IT]Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform
Geonho Han, Sucheol Kim, Junil Choi
http://arxiv.org/abs/2102.00636v2
• [cs.IT]On Codes for the Noisy Substring Channel
Yonatan Yehezkeally, Nikita Polyanskii
http://arxiv.org/abs/2102.01412v1
• [cs.IT]On Skew Convolutional and Trellis Codes
Vladimir Sidorenko, Wenhui Li, Onur Günlü, Gerhard Kramer
http://arxiv.org/abs/2102.01510v1
• [cs.IT]On conditional Sibson’s -Mutual Information
Amedeo Roberto Esposito, Diyuan Wu, Michael Gasatpar
http://arxiv.org/abs/2102.00720v2
• [cs.IT]On optimal relay placement in directional networks
Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli
http://arxiv.org/abs/2102.01174v1
• [cs.IT]Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources
Shu-Jie Cao, Lihui Yi, Haoning Chen, Youlong Wu
http://arxiv.org/abs/2102.01443v1
• [cs.IT]Outage Analysis of Uplink IRS-Assisted NOMA under Elements Splitting
Bashar Tahir, Stefan Schwarz, Markus Rupp
http://arxiv.org/abs/2102.01213v1
• [cs.IT]Permute & Add Network Codes via Group Algebras
Lakshmi Prasad Natarajan, Smiju Kodamthuruthil Joy
http://arxiv.org/abs/2102.01519v1
• [cs.IT]Private Linear Transformation: The Individual Privacy Case
Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson
http://arxiv.org/abs/2102.01662v1
• [cs.IT]Private Linear Transformation: The Joint Privacy Case
Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson
http://arxiv.org/abs/2102.01665v1
• [cs.IT]Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding
Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
http://arxiv.org/abs/2102.01671v1
• [cs.IT]Temporal CSI Correlation in Mixed RF/FSO Cooperative Relaying Systems Under Joint Effects of HPA Nonlinearities and IQ Imbalance
Elyes Balti, Neji Mensi, Danda B. Rawat
http://arxiv.org/abs/2102.01160v1
• [cs.LG]A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
http://arxiv.org/abs/2102.01567v1
• [cs.LG]AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset
Błażej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis
http://arxiv.org/abs/2102.01409v1
• [cs.LG]Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin
http://arxiv.org/abs/2102.01331v1
• [cs.LG]AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman
http://arxiv.org/abs/2102.01386v1
• [cs.LG]Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
Bjarne Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars S. Imsland
http://arxiv.org/abs/2102.01391v1
• [cs.LG]Benchmarking Quantized Neural Networks on FPGAs with FINN
Quentin Ducasse, Pascal Cotret, Loïc Lagadec, Robert Stewart
http://arxiv.org/abs/2102.01341v1
• [cs.LG]Bit Error Tolerance Metrics for Binarized Neural Networks
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
http://arxiv.org/abs/2102.01344v1
• [cs.LG]Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao
http://arxiv.org/abs/2102.01130v1
• [cs.LG]Depth separation beyond radial functions
Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna
http://arxiv.org/abs/2102.01621v1
• [cs.LG]Drift Estimation with Graphical Models
Luigi Riso, Marco Guerzoni
http://arxiv.org/abs/2102.01458v1
• [cs.LG]Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez
http://arxiv.org/abs/2102.01264v1
• [cs.LG]FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
Amirhossein Malekijoo, Mohammad Javad Fadaeieslam, Hanieh Malekijou, Morteza Homayounfar, Farshid Alizadeh-Shabdiz, Reza Rawassizadeh
http://arxiv.org/abs/2102.01593v1
• [cs.LG]Fast Exploration of Weight Sharing Opportunities for CNN Compression
Etienne Dupuis, David Novo, Ian O’Connor, Alberto Bosio
http://arxiv.org/abs/2102.01345v1
• [cs.LG]Fast Training of Provably Robust Neural Networks by SingleProp
Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
http://arxiv.org/abs/2102.01208v1
• [cs.LG]Federated Learning in Smart Cities: A Comprehensive Survey
Zhaohua Zheng, Yize Zhou, Yilong Sun, Zhang Wang, Boyi Liu, Keqiu Li
http://arxiv.org/abs/2102.01375v1
• [cs.LG]Gaussian Experts Selection using Graphical Models
Hamed Jalali, Martin Pawelczyk, Gjerji Kasneci
http://arxiv.org/abs/2102.01496v1
• [cs.LG]Graph Classification Based on Skeleton and Component Features
Xue Liu, Wei Wei, Xiangnan Feng, Xiaobo Cao, Dan Sun
http://arxiv.org/abs/2102.01428v1
• [cs.LG]Graph Coarsening with Neural Networks
Chen Cai, Dingkang Wang, Yusu Wang
http://arxiv.org/abs/2102.01350v1
• [cs.LG]GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo, Keqiang Yan, Shuiwang Ji
http://arxiv.org/abs/2102.01189v1
• [cs.LG]Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
Richard Hawkins, Colin Paterson, Chiara Picardi, Yan Jia, Radu Calinescu, Ibrahim Habli
http://arxiv.org/abs/2102.01564v1
• [cs.LG]It’s always personal: Using Early Exits for Efficient On-Device CNN Personalisation
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
http://arxiv.org/abs/2102.01393v1
• [cs.LG]Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization
Kale-ab Tessera, Sara Hooker, Benjamin Rosman
http://arxiv.org/abs/2102.01670v1
• [cs.LG]Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus
Ismail Arai, Ahmed Elnoshokaty, Samy El-Tawab
http://arxiv.org/abs/2102.01364v1
• [cs.LG]Metrics and continuity in reinforcement learning
Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro
http://arxiv.org/abs/2102.01514v1
• [cs.LG]Mining Feature Relationships in Data
Andrew Lensen
http://arxiv.org/abs/2102.01355v1
• [cs.LG]Mining Feature Relationships in Data
Andrew Lensen
http://arxiv.org/abs/2102.01355v
1000
1
1000
1)
• [cs.LG]Multi-modal Ensemble Models for Predicting Video Memorability
Tony Zhao, Irving Fang, Jeffrey Kim, Gerald Friedland
http://arxiv.org/abs/2102.01173v1
• [cs.LG]OPAM: Online Purchasing-behavior Analysis using Machine learning
Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li
http://arxiv.org/abs/2102.01625v1
• [cs.LG]Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games
Steve Hanneke, Roi Livni, Shay Moran
http://arxiv.org/abs/2102.01646v1
• [cs.LG]Predicting student performance using data from an auto-grading system
Huanyi Chen, Paul A. S. Ward
http://arxiv.org/abs/2102.01270v1
• [cs.LG]Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Manfred Reichert
http://arxiv.org/abs/2102.01431v1
• [cs.LG]Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network
Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang
http://arxiv.org/abs/2102.01147v1
• [cs.LG]Real-time detection of uncalibrated sensors using Neural Networks
Luis J. Muñoz-Molina, Ignacio Cazorla-Piñar, Juan P. Dominguez-Morales, Fernando Perez-Peña
http://arxiv.org/abs/2102.01565v1
• [cs.LG]Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen
http://arxiv.org/abs/2102.01356v1
• [cs.LG]Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices
Pedro J. Rivera Torres, Carlos Gershenson García, Samir Kanaan Izquierdo
http://arxiv.org/abs/2102.01297v1
• [cs.LG]Report of the Workshop on Program Synthesis for Scientific Computing
Hal Finkel, Ignacio Laguna
http://arxiv.org/abs/2102.01687v1
• [cs.LG]Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
http://arxiv.org/abs/2102.00966v2
• [cs.LG]SGD Generalizes Better Than GD (And Regularization Doesn’t Help)
Idan Amir, Tomer Koren, Roi Livni
http://arxiv.org/abs/2102.01117v1
• [cs.LG]Scaling Laws for Transfer
Danny Hernandez, Jared Kaplan, Tom Henighan, Sam McCandlish
http://arxiv.org/abs/2102.01293v1
• [cs.LG]Size Matters
Mats L. Richter, Johan Byttner, Ulf Krumnack, Ludwdig Schallner, Justin Shenk
http://arxiv.org/abs/2102.01582v1
• [cs.LG]Stability-Constrained Markov Decision Processes Using MPC
Mario Zanon, Sébastien Gros, Michele Palladino
http://arxiv.org/abs/2102.01383v1
• [cs.LG]Strongly Adaptive OCO with Memory
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
http://arxiv.org/abs/2102.01623v1
• [cs.LG]Super-klust: Another Way of Piecewise Linear Classification
Rahman Salim Zengin, Volkan Sezer
http://arxiv.org/abs/2102.01571v1
• [cs.LG]Symmetric Boolean Factor Analysis with Applications to InstaHide
Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang
http://arxiv.org/abs/2102.01570v1
• [cs.LG]System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring
Mohammad Hesam Soleimani-Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, Rodrigo Sarlo
http://arxiv.org/abs/2102.01158v1
• [cs.LG]The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication
Blake Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro
http://arxiv.org/abs/2102.01583v1
• [cs.LG]TinyML for Ubiquitous Edge AI
Stanislava Soro
http://arxiv.org/abs/2102.01255v1
• [cs.LG]Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis
Hrishikesh Dutta, Subir Biswas
http://arxiv.org/abs/2102.01611v1
• [cs.LG]Unassisted Noise Reduction of Chemical Reaction Data Sets
Alessandra Toniato, Philippe Schwaller, Antonio Cardinale, Joppe Geluykens, Teodoro Laino
http://arxiv.org/abs/2102.01399v1
• [cs.LG]pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs
Gagandeep Singh, Deepak Mishra
http://arxiv.org/abs/2102.01336v1
• [cs.LO]Verifying the Hashgraph Consensus Algorithm
Karl Crary
http://arxiv.org/abs/2102.01167v1
• [cs.MA]An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours
Pierre El Mqirmi, Francesco Belardinelli, Borja G. León
http://arxiv.org/abs/2102.01434v1
• [cs.MA]Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Kai Cui, Heinz Koeppl
http://arxiv.org/abs/2102.01585v1
• [cs.MM]Fake-image detection with Robust Hashing
Miki Tanaka, Kiya Hitoshi
http://arxiv.org/abs/2102.01313v1
• [cs.MM]Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
Kaiping Chen, Sang Jung Kim, Sebastian Raschka, Qiantong Gao
http://arxiv.org/abs/2102.01163v1
• [cs.NE]Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
http://arxiv.org/abs/2102.01645v1
• [cs.NE]Stronger Separation of Analog Neuron Hierarchy by Deterministic Context-Free Languages
Jiří Šíma
http://arxiv.org/abs/2102.01633v1
• [cs.RO]A Hierarchical Multi-Robot Mapping Architecture Subject to Communication Constraints
Henry Fielding Cappel
http://arxiv.org/abs/2102.01641v1
• [cs.RO]An Open-Source Modular Robotic System for Telepresence and Remote Disinfection
Andre Potenza, Andrey Kiselev, Alessandro Saffiotti, Amy Loutfi
http://arxiv.org/abs/2102.01551v1
• [cs.RO]Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
http://arxiv.org/abs/2102.01295v1
• [cs.RO]Kinova Gen3-Lite manipulator inverse kinematics: optimal polynomial solution
Hamed Montazer Zohour, Bruno Belzile, David St-Onge
http://arxiv.org/abs/2102.01217v1
• [cs.RO]MPC path-planner for autonomous driving solved by genetic algorithm technique
Stefano Arrigoni, Francesco Braghin, Federico Cheli
http://arxiv.org/abs/2102.01211v1
• [cs.RO]Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations
Jingbin Huang, Fei Liu, Florian Richter, Michael C. Yip
http://arxiv.org/abs/2102.01436v1
• [cs.RO]Subdimensional Expansion for Multi-objective Multi-agent Path Finding
Zhongqiang Ren, Sivakumar Rathinam, Howie Choset
http://arxiv.org/abs/2102.01353v1
• [cs.RO]Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection
Yang Lyu, Muqing Cao, Shenghai Yuan, Lihua Xie
http://arxiv.org/abs/2102.01423v1
• [cs.SD]Deep Music Information Dynamics
Shlomo Dubnov
http://arxiv.org/abs/2102.01133v1
• [cs.SD]PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation
Yuan Gong, Yu-An Chung, James Glass
http://arxiv.org/abs/2102.01243v1
• [cs.SD]SPEAK WITH YOUR HANDS Using Continuous Hand Gestures to control Articulatory Speech Synthesizer
Pramit Saha, Debasish Ray Mohapatra, Sidney Fels
http://arxiv.org/abs/2102.01640v1
• [cs.SD]WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit
Binbin Zhang, Di Wu, Chao Yang, Xiaoyu Chen, Zhendong Peng, Xiangming Wang, Zhuoyuan Yao, Xiong Wang, Fan Yu, Lei Xie, Xin Lei
http://arxiv.org/abs/2102.01547v1
• [cs.SE]Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen
http://arxiv.org/abs/2102.00826v1
• [cs.SE]Fast Parametric Model Checking through Model Fragmentation
Xinwei Fang, Radu Calinescu, Simos Gerasimou, Faisal Alhwikem
http://arxiv.org/abs/2102.01490v1
• [cs.SI]A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter
Marzia Antenore, Jose M. Camacho-Rodriguez, Emanuele Panizzi
http://arxiv.org/abs/2102.01148v1
• [cs.SI]Understanding collective human movement dynamics during large-scale events using big geosocial data analytics
Junchuan Fan, Kathleen Stewart
http://arxiv.org/abs/2102.01175v1
• [econ.EM]Adaptive Random Bandwidth for Inference in CAViaR Models
Alain Hecq, Li Sun
http://arxiv.org/abs/2102.01636v1
• [econ.EM]Efficient Estimation for Staggered Rollout Designs
Jonathan Roth, Pedro H. C. Sant’Anna
http://arxiv.org/abs/2102.01291v1
• [econ.TH]Games on Endogenous Networks
Benjamin Golub, Evan Sadler
http://arxiv.org/abs/2102.01587v1
• [eess.AS]Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong
http://arxiv.org/abs/2102.01380v1
• [eess.AS]Multimodal Attention Fusion for Target Speaker Extraction
Hiroshi Sato, Tsubasa Ochiai, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Shoko Araki
http://arxiv.org/abs/2102.01326v1
• [eess.AS]The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap
Shota Horiguchi, Nelson Yalta, Paola Garcia, Yuki Takashima, Yawen Xue, Desh Raj, Zili Huang, Yusuke Fujita, Shinji Watanabe, Sanjeev Khudanpur
http://arxiv.org/abs/2102.01363v1
• [eess.AS]Universal Neural Vocoding with Parallel WaveNet
Yunlong Jiao, Adam Gabrys, Georgi Tinchev, Bartosz Putrycz, Daniel Korzekwa, Viacheslav Klimkov
http://arxiv.org/abs/2102.01106v1
• [eess.IV]Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation
Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis, Florence Tupin
http://arxiv.org/abs/2102.00692v1
• [eess.IV]Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning
Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin
http://arxiv.org/abs/2102.00682v1
• [eess.IV]Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
Ashek Ahmmed, Manoranjan Paul, Manzur Murshed, David Taubman
http://arxiv.org/abs/2102.01307v1
• [eess.IV]Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
Yakun Niu, Benedetta Tondi, Yao Zhao, Rongrong Ni, Mauro Barni
http://arxiv.org/abs/2102.01439v1
• [eess.IV]Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin
http://arxiv.org/abs/2102.01678v1
• [eess.IV]Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
Yang Wen
http://arxiv.org/abs/2102.01549v1
• [eess.IV]Mobile-end Tone Mapping based on Integral Image and Integral Histogram
Jie Yang, Mengchen Lin, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht
http://arxiv.org/abs/2102.01289v1
• [eess.IV]Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek
http://arxiv.org/abs/2102.01445v1
• [eess.IV]Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR
Aniket Pramanik, Mathews Jacob
http://arxiv.org/abs/2102.01172v1
• [eess.IV]Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo De Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
http://arxiv.org/abs/2102.01530v1
• [eess.IV]aura-net : robust segmentation of phase-contrast microscopy images with few annotations
Ethan Cohen, Virginie Uhlmann
http://arxiv.org/abs/2102.01389v1
• [eess.SP]A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
http://arxiv.org/abs/2102.01319v1
• [eess.SY]Development and Simulation-based Testing of a 5G-Connected Intersection AEB System
Michael Khayyat, Stefano Arrigoni, Federico Cheli
http://arxiv.org/abs/2102.01590v1
• [math.OC]Community Detection with a Subsampled Semidefinite Program
Pedro Abdalla, Afonso S. Bandeira
http://arxiv.org/abs/2102.01419v1
• [math.OC]Distributed Zero-Order Optimization under Adversarial Noise
Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov
http://arxiv.org/abs/2102.01121v1
• [math.PR]Divergence of an integral of a process with small ball estimate
Yuliya Mishura, Nakahiro Yoshida
http://arxiv.org/abs/2102.01616v1
• [math.ST]An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models
Alexander G. Tartakovsky
http://arxiv.org/abs/2102.01306v1
• [math.ST]Optimal Sequential Detection of Signals with Unknown Appearance and Disappearance Points in Time
Alexander G. Tartakovsky, Nikita R. Berenkov, Alexei E. Kolessa, Igor V. Nikiforov
http://arxiv.org/abs/2102.01310v1
• [math.ST]Transition kernel couplings of the Metropolis-Hastings algorithm
John O’Leary, Guanyang Wang
http://arxiv.org/abs/2102.00366v2
• [physics.geo-ph]Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt
http://arxiv.org/abs/2102.01447v1
• [physics.soc-ph]A statistical analysis of death rates in Italy for the years 2015—2020 and a comparison with the casualties reported for the COVID-19 pandemic
Gianluca Bonifazi, Luca Lista, Dario Menasce, Mauro Mezzetto, Alberto Oliva, Daniele Pedrini, Roberto Spighi, Antonio Zoccoli
http://arxiv.org/abs/2102.01629v1
• [physics.soc-ph]Predicting Propensity to Vote with Machine Learning
Rebecca D. pollard, Sara M. Pollard, Scott Streit
http://arxiv.org/abs/2102.01535v1
• [q-bio.GN]The Gene Mover’s Distance: Single-cell similarity via Optimal Transport
Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi, Giovanna Nicora, Eleonora Vercesi
http://arxiv.org/abs/2102.01218v1
• [q-bio.NC]When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning
Harikrishnan NB, Nithin Nagaraj
http://arxiv.org/abs/2102.01316v1
• [q-fin.CP]A Stochastic Time Series Model for Predicting Financial Trends using NLP
Pratyush Muthukumar, Jie Zhong
http://arxiv.org/abs/2102.01290v1
• [quant-ph]Capacity and quantum geometry of parametrized quantum circuits
Tobias Haug, Kishor Bharti, M. S. Kim
http://arxiv.org/abs/2102.01659v1
• [quant-ph]Conditional distributions for quantum systems
Arthur J. Parzygnat
http://arxiv.org/abs/2102.01529v1
• [stat.AP]Bayesian analysis of population health data
Dorota Młynarczyk, Carmen Armero, Virgilio Gómez-Rubio, Pedro Puig
http://arxiv.org/abs/2102.01612v1
• [stat.AP]Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment
Kristian Lum, David B. Dunson, James Johndrow
http://arxiv.org/abs/2102.01135v1
• [stat.AP]Dynamic modeling of mortality via mixtures of skewed distribution functions
Emanuele Aliverti, Stefano Mazzuco, Bruno Scarpa
http://arxiv.org/abs/2102.01599v1
• [stat.AP]Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks
Huang Huang, Stefano Castruccio, Marc G. Genton
http://arxiv.org/abs/2102.01141v1
• [stat.ME]Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
Jieru Shi, Zhenke Wu, Walter Dempsey
http://arxiv.org/abs/2102.01681v1
• [stat.ME]Double bootstrapping for visualising the distribution of descriptive statistics of functional data
Han Lin Shang
http://arxiv.org/abs/2102.01144v1
• [stat.ME]G-Formula for Observational Studies with Partial Interference, with Application to Bed Net Use on Malaria
Kayla W. Kilpatrick, Michael G. Hudgens
http://arxiv.org/abs/2102.01155v1
• [stat.ME]Robust Functional Principal Component Analysis for Non-Gaussian Continuous Data to Analyze Physical Activity Data Generated by Accelerometers
Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang
http://arxiv.org/abs/2102.01286v1
• [stat.ML]Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Chanwoo Lee, Miaoyan Wang
http://arxiv.org/abs/2102.00
1000
384v1
1000
384v1)
• [stat.ML]Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning
Robert E. McCulloch, Rodney A. Sparapani, Brent R. Logan, Purushottam W. Laud
http://arxiv.org/abs/2102.01199v1
• [stat.ML]Doubly Robust Thompson Sampling for linear payoffs
Wonyoung Kim, Gi-soo Kim, Myunghee Cho Paik
http://arxiv.org/abs/2102.01229v1
• [stat.ML]Exact Langevin Dynamics with Stochastic Gradients
Adrià Garriga-Alonso, Vincent Fortuin
http://arxiv.org/abs/2102.01691v1
• [stat.ML]Generalized non-stationary bandits
Anne Gael Manegueu, Alexandra Carpentier, Yi Yu
http://arxiv.org/abs/2102.00725v2
• [stat.ML]Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
Anthony Devaux, Robin Genuer, Karine Pérès, Cécile Proust-Lima
http://arxiv.org/abs/2102.01466v1
• [stat.ML]Policy Analysis using Synthetic Controls in Continuous-Time
Alexis Bellot, Mihaela van der Schaar
http://arxiv.org/abs/2102.01577v1
• [stat.ML]Robust data-driven discovery of partial differential equations with time-dependent coefficients
Aoxue Chen, Guang Lin
http://arxiv.org/abs/2102.01432v1
• [stat.ML]Stability and Generalization of the Decentralized Stochastic Gradient Descent
Tao Sun, Dongsheng Li, Bao Wang
http://arxiv.org/abs/2102.01302v1
• [stat.ML]Time Adaptive Gaussian Model
Federico Cieca, Veronica Tozzo
http://arxiv.org/abs/2102.01238v1