astro-ph.IM - 仪器仪表和天体物理学方法
    cs.AI - 人工智能
    cs.CG - 计算几何学
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.DS - 数据结构与算法
    cs.FL - 形式语言与自动机理论
    cs.GT - 计算机科学与博弈论
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    cs.RO - 机器人学
    cs.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    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.IM]Approximate Bayesian Neural Doppler Imaging
    • [cs.AI]Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
    • [cs.CG]Identifying Aggregation Artery Architecture of constrained Origin-Destination flows using Manhattan L-function
    • [cs.CL]A Framework for Neural Topic Modeling of Text Corpora
    • [cs.CL]A Neural Conversation Generation Model via Equivalent Shared Memory Investigation
    • [cs.CL]Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model
    • [cs.CL]Fastformer: Additive Attention is All You Need
    • [cs.CL]GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps
    • [cs.CL]Open Relation Modeling: Learning to Define Relations between Entities
    • [cs.CL]SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
    • [cs.CL]Semantic Communication with Adaptive Universal Transformer
    • [cs.CL]Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer
    • [cs.CL]Twitter User Representation using Weakly Supervised Graph Embedding
    • [cs.CR]An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks
    • [cs.CR]An Empirical Cybersecurity Evaluation of GitHub Copilot’s Code Contributions
    • [cs.CR]Quantization Backdoors to Deep Learning Models
    • [cs.CR]SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning
    • [cs.CV]A Contactless Fingerprint Recognition System
    • [cs.CV]AdvDrop: Adversarial Attack to DNNs by Dropping Information
    • [cs.CV]Airbert: In-domain Pretraining for Vision-and-Language Navigation
    • [cs.CV]Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields
    • [cs.CV]CIGLI: Conditional Image Generation from Language & Image
    • [cs.CV]Continual Learning for Image-Based Camera Localization
    • [cs.CV]Convolutional Neural Network (CNN) vs Visual Transformer (ViT) for Digital Holography
    • [cs.CV]DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
    • [cs.CV]Deep Virtual Markers for Articulated 3D Shapes
    • [cs.CV]Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
    • [cs.CV]Discriminative Region-based Multi-Label Zero-Shot Learning
    • [cs.CV]Dual Projection Generative Adversarial Networks for Conditional Image Generation
    • [cs.CV]Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis
    • [cs.CV]Exploring Data Aggregation and Transformations to Generalize across Visual Domains
    • [cs.CV]GAN Inversion for Out-of-Range Images with Geometric Transformations
    • [cs.CV]Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds
    • [cs.CV]Group-based Distinctive Image Captioning with Memory Attention
    • [cs.CV]Indoor Scene Generation from a Collection of Semantic-Segmented Depth Images
    • [cs.CV]Is it Time to Replace CNNs with Transformers for Medical Images?
    • [cs.CV]Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation
    • [cs.CV]Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling
    • [cs.CV]MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
    • [cs.CV]Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
    • [cs.CV]Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization
    • [cs.CV]PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier
    • [cs.CV]Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
    • [cs.CV]PowerLinear Activation Functions with application to the first layer of CNNs
    • [cs.CV]ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
    • [cs.CV]Region-level Active Learning for Cluttered Scenes
    • [cs.CV]Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
    • [cs.CV]Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions
    • [cs.CV]Single Underwater Image Enhancement Using an Analysis-Synthesis Network
    • [cs.CV]Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera
    • [cs.CV]Structure-Preserving Deraining with Residue Channel Prior Guidance
    • [cs.CV]Towards Photorealistic Colorization by Imagination
    • [cs.CV]Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance
    • [cs.CV]Video Ads Content Structuring by Combining Scene Confidence Prediction and Tagging
    • [cs.CV]Video-based Person Re-identification with Spatial and Temporal Memory Networks
    • [cs.CV]Weakly-supervised Joint Anomaly Detection and Classification
    • [cs.CV]Zoom, Enhance! Measuring Surveillance GAN Up-sampling
    • [cs.CY]Challenges and Solutions for Utilizing Earth Observations in the “Big Data” era
    • [cs.CY]Kompetenzerwerbsförderung durch E-Assessment: Individuelle Kompetenzerfassung am Beispiel des Fachs Mathematik
    • [cs.DC]Abduction of trap invariants in parameterized systems
    • [cs.DC]Centralised Connectivity-Preserving Transformations for Programmable Matter: A Minimal Seed Approach
    • [cs.DC]From Research to Proof-of-Concept: Analysis of a Deployment of FPGAs on a Commercial Search Engine
    • [cs.DS]Distributed Transformations of Hamiltonian Shapes based on Line Moves
    • [cs.DS]Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
    • [cs.FL]The n-ary Initial Literal and Literal Shuffle
    • [cs.GT]Eliciting Social Knowledge for Creditworthiness Assessment
    • [cs.IR]A Recommender System for Scientific Datasets and Analysis Pipelines
    • [cs.IR]Can We Model News Recommendation as Sequential Recommendation?
    • [cs.IR]Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation
    • [cs.IR]SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles
    • [cs.IR]Supervised Contrastive Learning for Interpretable Long Document Comparison
    • [cs.IT]Additive Polycyclic Codes over 今日学术视野(2021.8.24) - 图1 Induced by Binary Vectors and Some Optimal Codes
    • [cs.IT]Complete Traceability Multimedia Fingerprinting Codes Resistant to Averaging Attack and Adversarial Noise with Optimal Rate
    • [cs.IT]Multi-Server Private Linear Computation with Joint and Individual Privacy Guarantees
    • [cs.IT]New binary self-dual codes of lengths 56, 62, 78, 92 and 94 from a bordered construction
    • [cs.IT]On Interference Channels with Gradual Data Arrival
    • [cs.IT]Performance Bounds for Sampling and Remote Estimation of Gauss-Markov Processes over a Noisy Channel with Random Delay
    • [cs.IT]deep unfolding for non-negative matrix factorization with application to mutational signature analysis
    • [cs.LG]A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets
    • [cs.LG]Accelerating Federated Learning with a Global Biased Optimiser
    • [cs.LG]Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks
    • [cs.LG]Comparing concepts of quantum and classical neural network models for image classification task
    • [cs.LG]Contrastive Representations for Label Noise Require Fine-Tuning
    • [cs.LG]Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
    • [cs.LG]DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
    • [cs.LG]Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
    • [cs.LG]Efficient Online Estimation of Causal Effects by Deciding What to Observe
    • [cs.LG]Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
    • [cs.LG]FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update
    • [cs.LG]Federated Distributionally Robust Optimization for Phase Configuration of RISs
    • [cs.LG]Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS
    • [cs.LG]MOFit: A Framework to reduce Obesity using Machine learning and IoT
    • [cs.LG]Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks
    • [cs.LG]Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach
    • [cs.LG]Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
    • [cs.LG]PASTO: Strategic Parameter Optimization in Recommendation Systems — Probabilistic is Better than Deterministic
    • [cs.LG]Parsing Birdsong with Deep Audio Embeddings
    • [cs.LG]Personalized next-best action recommendation with multi-party interaction learning for automated decision-making
    • [cs.LG]Practical and Fast Momentum-Based Power Methods
    • [cs.LG]Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
    • [cs.LG]Semi-supervised Network Embedding with Differentiable Deep Quantisation
    • [cs.LG]TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
    • [cs.LG]Topo2vec: Topography Embedding Using the Fractal Effect
    • [cs.LG]Towards Understanding the Generative Capability of Adversarially Robust Classifiers
    • [cs.LG]Unsupervised Domain-adaptive Hash for Networks
    • [cs.LG]User Localization Based on Call Detail Records
    • [cs.LG]VAE-CE: Visual Contrastive Explanation using Disentangled VAEs
    • [cs.MA]An Agent-Based Model of COVID-19 Diffusion to Plan and Evaluate Intervention Policies
    • [cs.RO]AutoLay: Benchmarking amodal layout estimation for autonomous driving
    • [cs.RO]Deep Learning-based Spacecraft Relative Navigation Methods: A Survey
    • [cs.RO]Order assignment and picking station scheduling for multiple stations in KIVA warehouses
    • [cs.RO]Path Planning With Naive-Valley-Path Obstacle Avoidance and Global Map-Free
    • [cs.RO]Symplectic Integration for Multivariate Dynamic Spline-Based Model of Deformable Linear Objects
    • [cs.RO]The Importance of Autonomous Driving Using 5G Technology
    • [cs.RO]Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics
    • [cs.SI]GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs
    • [eess.IV]Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
    • [eess.IV]Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
    • [eess.IV]Self-supervised learning for joint SAR and multispectral land cover classification
    • [eess.SP]Device-Free Sensing in OFDM Cellular Network
    • [eess.SP]Latency-Constrained Highly-Reliable mmWave Communication via Multi-point Connectivity
    • [math.ST]A Novel Approach to Handling the Non-Central Dirichlet Distribution
    • [math.ST]A Theoretical Analysis of the Stationarity of an Unrestricted Autoregression Process
    • [math.ST]Detecting changes in the trend function of heteroscedastic time series
    • [math.ST]Parameters not identifiable or distinguishable from data, including correlation between Gaussian observations
    • [math.ST]Signal Detection in Degree Corrected ERGMs
    • [physics.soc-ph]Analyzing the Behavior of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study
    • [q-bio.NC]Assessing Cerebellar Disorders With Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches
    • [stat.AP]A multi-level model for estimating region-age-time-type specific male circumcision coverage from household survey and health system data in South Africa
    • [stat.AP]Irish Property Price Estimation Using A Flexible Geo-spatial Smoothing Approach: What is the Impact of an Address?
    • [stat.CO]latentcor: An R Package for estimating latent correlations from mixed data types
    • [stat.ME]A New Asymmetric Copula with Reversible Correlations and Its Application to the EU Sovereign Debt Crisis
    • [stat.ME]A comparison of different clustering approaches for high-dimensional presence-absence data
    • [stat.ME]Advanced models for predicting event occurrence in event-driven clinical trials accounting for patient dropout, cure and ongoing recruitment
    • [stat.ME]Quadratic Discriminant Analysis by Projection
    • [stat.ME]Robust Designs for Prospective Randomized Trials Surveying Sensitive Topics
    • [stat.ML]Distributionally Robust Learning
    • [stat.ML]Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization
    • [stat.ML]Optimal Order Simple Regret for Gaussian Process Bandits
    • [stat.ML]State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition
    • [stat.ML]Structure Learning for Directed Trees

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

    • [astro-ph.IM]Approximate Bayesian Neural Doppler Imaging
    A. Asensio Ramos, C. Diaz Baso, O. Kochukhov
    http://arxiv.org/abs/2108.09266v1

    • [cs.AI]Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
    Richard Dazeley, Peter Vamplew, Francisco Cruz
    http://arxiv.org/abs/2108.09003v1

    • [cs.CG]Identifying Aggregation Artery Architecture of constrained Origin-Destination flows using Manhattan L-function
    Zidong Fang, Hua Shu, Ci Song, Jie Chen, Tianyu Liu, Xiaohan Liu, Tao Pei
    http://arxiv.org/abs/2108.09042v1

    • [cs.CL]A Framework for Neural Topic Modeling of Text Corpora
    Shayan Fazeli, Majid Sarrafzadeh
    http://arxiv.org/abs/2108.08946v1

    • [cs.CL]A Neural Conversation Generation Model via Equivalent Shared Memory Investigation
    Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao
    http://arxiv.org/abs/2108.09164v1

    • [cs.CL]Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model
    Kevin Lybarger, Aashka Damani, Martin Gunn, Ozlem Uzuner, Meliha Yetisgen
    http://arxiv.org/abs/2108.09211v1

    • [cs.CL]Fastformer: Additive Attention is All You Need
    Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
    http://arxiv.org/abs/2108.09084v1

    • [cs.CL]GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps
    Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin
    http://arxiv.org/abs/2108.09104v1

    • [cs.CL]Open Relation Modeling: Learning to Define Relations between Entities
    Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei Hwu
    http://arxiv.org/abs/2108.09241v1

    • [cs.CL]SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
    Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He
    http://arxiv.org/abs/2108.08983v1

    • [cs.CL]Semantic Communication with Adaptive Universal Transformer
    Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Honggang Zhang
    http://arxiv.org/abs/2108.09119v1

    • [cs.CL]Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer
    Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
    http://arxiv.org/abs/2108.09193v1

    • [cs.CL]Twitter User Representation using Weakly Supervised Graph Embedding
    Tunazzina Islam, Dan Goldwasser
    http://arxiv.org/abs/2108.08988v1

    • [cs.CR]An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks
    Mahdi Soltani, Behzad Ousat, Mahdi Jafari Siavoshani, Amir Hossein Jahangir
    http://arxiv.org/abs/2108.09199v1

    • [cs.CR]An Empirical Cybersecurity Evaluation of GitHub Copilot’s Code Contributions
    Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri
    http://arxiv.org/abs/2108.09293v1

    • [cs.CR]Quantization Backdoors to Deep Learning Models
    Hua Ma, Huming Qiu, Yansong Gao, Zhi Zhang, Alsharif Abuadbba, Anmin Fu, Said Al-Sarawi, Derek Abbott
    http://arxiv.org/abs/2108.09187v1

    • [cs.CR]SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning
    Ege Erdogan, Alptekin Kupcu, A. Ercument Cicek
    http://arxiv.org/abs/2108.09052v1

    • [cs.CV]A Contactless Fingerprint Recognition System
    Aman Attrish, Nagasai Bharat, Vijay Anand, Vivek Kanhangad
    http://arxiv.org/abs/2108.09048v1

    • [cs.CV]AdvDrop: Adversarial Attack to DNNs by Dropping Information
    Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. K. Qin, Yuan He
    http://arxiv.org/abs/2108.09034v1

    • [cs.CV]Airbert: In-domain Pretraining for Vision-and-Language Navigation
    Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid
    http://arxiv.org/abs/2108.09105v1

    • [cs.CV]Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields
    Matan Atzmon, David Novotny, Andrea Vedaldi, Yaron Lipman
    http://arxiv.org/abs/2108.08931v1

    • [cs.CV]CIGLI: Conditional Image Generation from Language & Image
    Xiaopeng Lu, Lynnette Ng, Jared Fernandez, Hao Zhu
    http://arxiv.org/abs/2108.08955v1

    • [cs.CV]Continual Learning for Image-Based Camera Localization
    Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala
    http://arxiv.org/abs/2108.09112v1

    • [cs.CV]Convolutional Neural Network (CNN) vs Visual Transformer (ViT) for Digital Holography
    Stéphane Cuenat, Raphaël Couturier
    http://arxiv.org/abs/2108.09147v1

    • [cs.CV]DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
    Limeng Qiao, Yuxuan Zhao, Zhiyuan Li, Xi Qiu, Jianan Wu, Chi Zhang
    http://arxiv.org/abs/2108.09017v1

    • [cs.CV]Deep Virtual Markers for Articulated 3D Shapes
    Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee
    http://arxiv.org/abs/2108.09000v1

    • [cs.CV]Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
    Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan
    http://arxiv.org/abs/2108.08995v1

    • [cs.CV]Discriminative Region-based Multi-Label Zero-Shot Learning
    Sanath Narayan, Akshita Gupta, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah
    http://arxiv.org/abs/2108.09301v1

    • [cs.CV]Dual Projection Generative Adversarial Networks for Conditional Image Generation
    Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris Metaxas
    http://arxiv.org/abs/2108.09016v1

    • [cs.CV]Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis
    Guoquan Xu, Hezhi Cao, Yifan Zhang, Jianwei Wan, Ke Xu, Yanxin Ma
    http://arxiv.org/abs/2108.09228v1

    • [cs.CV]Exploring Data Aggregation and Transformations to Generalize across Visual Domains
    Antono D’Innocente
    http://arxiv.org/abs/2108.09208v1

    • [cs.CV]GAN Inversion for Out-of-Range Images with Geometric Transformations
    Kyoungkook Kang, Seongtae Kim, Sunghyun Cho
    http://arxiv.org/abs/2108.08998v1

    • [cs.CV]Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds
    Longkun Zou, Hui Tang, Ke Chen, Kui Jia
    http://arxiv.org/abs/2108.09169v1

    • [cs.CV]Group-based Distinctive Image Captioning with Memory Attention
    Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
    http://arxiv.org/abs/2108.09151v1

    • [cs.CV]Indoor Scene Generation from a Collection of Semantic-Segmented Depth Images
    Ming-Jia Yang, Yu-Xiao Guo, Bin Zhou, Xin Tong
    http://arxiv.org/abs/2108.09022v1

    • [cs.CV]Is it Time to Replace CNNs with Transformers for Medical Images?
    Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith
    http://arxiv.org/abs/2108.09038v1

    • [cs.CV]Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation
    Andrey Sheka, Victor Samun
    http://arxiv.org/abs/2108.09183v1

    • [cs.CV]Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling
    Xiaopeng Lu, Zhen Fan, Yansen Wang, Jean Oh, Carolyn P. Rose
    http://arxiv.org/abs/2108.08965v1

    • [cs.CV]MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
    Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
    http://arxiv.org/abs/2108.09274v1

    • [cs.CV]Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
    Zihang Meng, Vikas Singh, Sathya N. Ravi
    http://arxiv.org/abs/2108.08891v1

    • [cs.CV]Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization
    Yufei Xu, Jing Zhang, Dacheng Tao
    http://arxiv.org/abs/2108.09041v1

    • [cs.CV]PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier
    Chong Xiang, Saeed Mahloujifar, Prateek Mittal
    http://arxiv.org/abs/2108.09135v1

    • [cs.CV]Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
    Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang
    http://arxiv.org/abs/2108.09025v1

    • [cs.CV]PowerLinear Activation Functions with application to the first layer of CNNs
    Kamyar Nasiri, Kamaledin Ghiasi-Shirazi
    http://arxiv.org/abs/2108.09256v1

    • [cs.CV]ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
    Naser Damer, Kiran Raja, Marius Süßmilch, Sushma Venkatesh, Fadi Boutros, Meiling Fang, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper
    http://arxiv.org/abs/2108.09130v1

    • [cs.CV]Region-level Active Learning for Cluttered Scenes
    Michael Laielli, Giscard Biamby, Dian Chen, Adam Loeffler, Phat Dat Nguyen, Ross Luo, Trevor Darrell, Sayna Ebrahimi
    http://arxiv.org/abs/2108.09186v1

    • [cs.CV]Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
    Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
    http://arxiv.org/abs/2108.09178v1

    • [cs.CV]Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions
    Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee
    http://arxiv.org/abs/2108.09108v1

    • [cs.CV]Single Underwater Image Enhancement Using an Analysis-Synthesis Network
    Zhengyong Wang, Liquan Shen, Mei Yu, Yufei Lin, Qiuyu Zhu
    http://arxiv.org/abs/2108.09023v1

    • [cs.CV]Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera
    Hyomin Kim, Jungeon Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee
    http://arxiv.org/abs/2108.09007v1

    • [cs.CV]Structure-Preserving Deraining with Residue Channel Prior Guidance
    Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng
    http://arxiv.org/abs/2108.09079v1

    • [cs.CV]Towards Photorealistic Colorization by Imagination
    Chenyang Lei, Yue Wu, Qifeng Chen
    http://arxiv.org/abs/2108.09195v1

    • [cs.CV]Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance
    Jiaming Zhang, Kailun Yang, Angela Constantinescu, Kunyu Peng, Karin Müller, Rainer Stiefelhagen
    http://arxiv.org/abs/2108.09174v1

    • [cs.CV]Video Ads Content Structuring by Combining Scene Confidence Prediction and Tagging
    Tomoyuki Suzuki, Antonio Tejero-de-Pablos
    http://arxiv.org/abs/2108.09215v1

    • [cs.CV]Video-based Person Re-identification with Spatial and Temporal Memory Networks
    Chanho Eom, Geon Lee, Junghyup Lee, Bumsub Ham
    http://arxiv.org/abs/2108.09039v1

    • [cs.CV]Weakly-supervised Joint Anomaly Detection and Classification
    Snehashis Majhi, Srijan Das, Francois Bremond, Ratnakar Dash, Pankaj Kumar Sa
    http://arxiv.org/abs/2108.08996v1

    • [cs.CV]Zoom, Enhance! Measuring Surveillance GAN Up-sampling
    Jake Sparkman, Abdalla Al-Ayrot, Utkarsh Contractor
    http://arxiv.org/abs/2108.09285v1

    • [cs.CY]Challenges and Solutions for Utilizing Earth Observations in the “Big Data” era
    Lachezar Filchev, Lyubka Pashova, Vasil Kolev, Stuart Frye
    http://arxiv.org/abs/2108.08886v1

    • [cs.CY]Kompetenzerwerbsförderung durch E-Assessment: Individuelle Kompetenzerfassung am Beispiel des Fachs Mathematik
    Roy Meissner, Claudia Ruhland, Katja Ihsberner
    http://arxiv.org/abs/2108.09072v1

    • [cs.DC]Abduction of trap invariants in parameterized systems
    Javier Esparza, Mikhail Raskin, Christoph Welzel
    http://arxiv.org/abs/2108.09101v1

    • [cs.DC]Centralised Connectivity-Preserving Transformations for Programmable Matter: A Minimal Seed Approach
    Matthew Connor, Othon Michail, Igor Potapov
    http://arxiv.org/abs/2108.09250v1

    • [cs.DC]From Research to Proof-of-Concept: Analysis of a Deployment of FPGAs on a Commercial Search Engine
    Fabio Maschi, Gustavo Alonso, Anthony Hock-Koon, Nicolas Bondoux, Teddy Roy, Mourad Boudia, Matteo Casalino
    http://arxiv.org/abs/2108.09073v1

    • [cs.DS]Distributed Transformations of Hamiltonian Shapes based on Line Moves
    Abdullah Almethen, Othon Michail, Igor Potapov
    http://arxiv.org/abs/2108.08953v1

    • [cs.DS]Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
    Clément L. Canonne, Hongyi Lyu
    http://arxiv.org/abs/2108.08987v1

    • [cs.FL]The n-ary Initial Literal and Literal Shuffle
    Stefan Hoffmann
    http://arxiv.org/abs/2108.09282v1

    • [cs.GT]Eliciting Social Knowledge for Creditworthiness Assessment
    Mark York, Munther Dahleh, David Parkes
    http://arxiv.org/abs/2108.09289v1

    • [cs.IR]A Recommender System for Scientific Datasets and Analysis Pipelines
    Mandana Mazaheri, Gregory Kiar, Tristan Glatard
    http://arxiv.org/abs/2108.09275v1

    • [cs.IR]Can We Model News Recommendation as Sequential Recommendation?
    Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
    http://arxiv.org/abs/2108.08984v1

    • [cs.IR]Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation
    Luo Ji, Qin Qi, Bingqing Han, Hongxia Yang
    http://arxiv.org/abs/2108.09141v1

    • [cs.IR]SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles
    David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger
    http://arxiv.org/abs/2108.09070v1

    • [cs.IR]Supervised Contrastive Learning for Interpretable Long Document Comparison
    Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekhar, Adithya Samavedhi, Chandan K. Reddy
    http://arxiv.org/abs/2108.09190v1

    • [cs.IT]Additive Polycyclic Codes over 今日学术视野(2021.8.24) - 图2 Induced by Binary Vectors and Some Optimal Codes
    Arezoo Soufi Karbaski, Taher Abualrub, Nuh Aydin, Peihan Liu
    http://arxiv.org/abs/2108.09198v1

    • [cs.IT]Complete Traceability Multimedia Fingerprinting Codes Resistant to Averaging Attack and Adversarial Noise with Optimal Rate
    Ilya Vorobyev
    http://arxiv.org/abs/2108.09015v1

    • [cs.IT]Multi-Server Private Linear Computation with Joint and Individual Privacy Guarantees
    Nahid Esmati, Anoosheh Heidarzadeh
    http://arxiv.org/abs/2108.09271v1

    • [cs.IT]New binary self-dual codes of lengths 56, 62, 78, 92 and 94 from a bordered construction
    Joe Gildea, Adrian Korban, Adam Michael Roberts, Alexander Tylyshchak
    http://arxiv.org/abs/2108.09184v1

    • [cs.IT]On Interference Channels with Gradual Data Arrival
    Kamyar Moshksar
    http://arxiv.org/abs/2108.08968v1

    • [cs.IT]Performance Bounds for Sampling and Remote Estimation of Gauss-Markov Processes over a Noisy Channel with Random Delay
    Tasmeen Zaman Ornee, Yin Sun
    http://arxiv.org/abs/2108.09201v1

    • [cs.IT]deep unfolding for non-negative matrix factorization with application to mutational signature analysis
    Rami Nasser, Yonina C. Eldar, Roded Sharan
    http://arxiv.org/abs/2108.09138v1

    • [cs.LG]A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets
    Gonzalo Nápoles, Lisa Koutsoviti Koumeri
    http://arxiv.org/abs/2108.09098v1

    • [cs.LG]Accelerating Federated Learning with a Global Biased Optimiser
    Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang
    http://arxiv.org/abs/2108.09134v1

    • [cs.LG]Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks
    Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh, Ashish Ghosh, Jonathan H. Chan
    http://arxiv.org/abs/2108.09131v1

    • [cs.LG]Comparing concepts of quantum and classical neural network models for image classification task
    Sebastian Porebski, Rafal Potempa
    http://arxiv.org/abs/2108.08875v1

    • [cs.LG]Contrastive Representations for Label Noise Require Fine-Tuning
    Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
    http://arxiv.org/abs/2108.09154v1

    • [cs.LG]Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
    Anirban Das, Shiqiang Wang, Stacy Patterson
    http://arxiv.org/abs/2108.08930v1

    • [cs.LG]DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
    Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
    http://arxiv.org/abs/2108.09091v1

    • [cs.LG]Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
    Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
    http://arxiv.org/abs/2108.08920v1

    • [cs.LG]Efficient Online Estimation of Causal Effects by Deciding What to Observe
    Shantanu Gupta, Zachary C. Lipton, David Childers
    http://arxiv.org/abs/2108.09265v1

    • [cs.LG]Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
    Oswin Krause, Torbjørn Rasmussen, Bertram Brovang, Anasua Chatterjee, Ferdinand Kuemmeth
    http://arxiv.org/abs/2108.09133v1

    • [cs.LG]FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update
    Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao
    http://arxiv.org/abs/2108.09081v1

    • [cs.LG]Federated Distributionally Robust Optimization for Phase Configuration of RISs
    Chaouki Ben Issaid, Sumudu Samarakoon, Mehdi Bennis, H. Vincent Poor
    http://arxiv.org/abs/2108.09026v1

    • [cs.LG]Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS
    Kalifou Rene Traore, Andrés Camero, Xiao Xiang Zhu
    http://arxiv.org/abs/2108.09126v1

    • [cs.LG]MOFit: A Framework to reduce Obesity using Machine learning and IoT
    Satvik Garg, Pradyumn Pundir
    http://arxiv.org/abs/2108.08868v1

    • [cs.LG]Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks
    Chenyuan Feng, Howard H. Yang, Deshun Hu, Zhiwei Zhao, Tony Q. S. Quek, Geyong Min
    http://arxiv.org/abs/2108.09103v1

    • [cs.LG]Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach
    Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao
    http://arxiv.org/abs/2108.09292v1

    • [cs.LG]Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
    Zhipeng Cai, Ozan Sener, Vladlen Koltun
    http://arxiv.org/abs/2108.09020v1

    • [cs.LG]PASTO: Strategic Parameter Optimization in Recommendation Systems — Probabilistic is Better than Deterministic
    Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu
    http://arxiv.org/abs/2108.09076v1

    • [cs.LG]Parsing Birdsong with Deep Audio Embeddings
    Irina Tolkova, Brian Chu, Marcel Hedman, Stefan Kahl, Holger Klinck
    http://arxiv.org/abs/2108.09203v1

    • [cs.LG]Personalized next-best action recommendation with multi-party interaction learning for automated decision-making
    Longbing Cao, Chengzhang Zhu
    http://arxiv.org/abs/2108.08846v1

    • [cs.LG]Practical and Fast Momentum-Based Power Methods
    Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang
    http://arxiv.org/abs/2108.09264v1

    • [cs.LG]Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
    Heyuan Liu, Paul Grigas
    http://arxiv.org/abs/2108.08887v1

    • [cs.LG]Semi-supervised Network Embedding with Differentiable Deep Quantisation
    Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li
    http://arxiv.org/abs/2108.09128v1

    • [cs.LG]TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
    Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu
    http://arxiv.org/abs/2108.09127v1

    • [cs.LG]Topo2vec: Topography Embedding Using the Fractal Effect
    Jonathan Kavitzky, Jonathan Zarecki, Idan Brusilovsky, Uriel Singer
    http://arxiv.org/abs/2108.08870v1

    • [cs.LG]Towards Understanding the Generative Capability of Adversarially Robust Classifiers
    Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li
    http://arxiv.org/abs/2108.09093v1

    • [cs.LG]Unsupervised Domain-adaptive Hash for Networks
    Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li
    http://arxiv.org/abs/2108.09136v1

    • [cs.LG]User Localization Based on Call Detail Records
    Buddhi Ayesha, Bhagya Jeewanthi, Charith Chitraranjan, Amal Shehan Perera, Amal S. Kumarage
    http://arxiv.org/abs/2108.09157v1

    • [cs.LG]VAE-CE: Visual Contrastive Explanation using Disentangled VAEs
    Yoeri Poels, Vlado Menkovski
    http://arxiv.org/abs/2108.09159v1

    • [cs.MA]An Agent-Based Model of COVID-19 Diffusion to Plan and Evaluate Intervention Policies
    Gianpiero Pescarmona, Pietro Terna, Alberto Acquadro, Paolo Pescarmona, Giuseppe Russo, Emilio Sulis, Stefano Terna
    http://arxiv.org/abs/2108.08885v1

    • [cs.RO]AutoLay: Benchmarking amodal layout estimation for autonomous driving
    Kaustubh Mani, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna
    http://arxiv.org/abs/2108.09047v1

    • [cs.RO]Deep Learning-based Spacecraft Relative Navigation Methods: A Survey
    Jianing Song, Duarte Rondao, Nabil Aouf
    http://arxiv.org/abs/2108.08876v1

    • [cs.RO]Order assignment and picking station scheduling for multiple stations in KIVA warehouses
    Xiying Yang, Guowei Hua, Linyuan Hu, T. C. E Cheng, Tsan Ming Choi
    http://arxiv.org/abs/2108.09056v1

    • [cs.RO]Path Planning With Naive-Valley-Path Obstacle Avoidance and Global Map-Free
    Miguel Angel Munoz-Banon, Edison Velasco-Sanchez, Francisco A. Candelas, Fernando Torres
    http://arxiv.org/abs/2108.09117v1

    • [cs.RO]Symplectic Integration for Multivariate Dynamic Spline-Based Model of Deformable Linear Objects
    Alaa Khalifa, Gianluca Palli
    http://arxiv.org/abs/2108.08935v1

    • [cs.RO]The Importance of Autonomous Driving Using 5G Technology
    Yuanzhe Jin, Neelanshi Varia, Chixiang Wang
    http://arxiv.org/abs/2108.08966v1

    • [cs.RO]Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics
    Weikun Zhen, Huai Yu, Yaoyu Hu, Sebastian Scherer
    http://arxiv.org/abs/2108.08957v1

    • [cs.SI]GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs
    Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
    http://arxiv.org/abs/2108.09200v1

    • [eess.IV]Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
    Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David Kaeli, Bin Ren, Xue Lin, Yanzhi Wang
    http://arxiv.org/abs/2108.08910v1

    • [eess.IV]Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
    Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak, Pejman Khadivi, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/2108.08895v1

    • [eess.IV]Self-supervised learning for joint SAR and multispectral land cover classification
    Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli
    http://arxiv.org/abs/2108.09075v1

    • [eess.SP]Device-Free Sensing in OFDM Cellular Network
    Qin Shi, Liang Liu, Shuowen Zhang, Shuguang Cui
    http://arxiv.org/abs/2108.09177v1

    • [eess.SP]Latency-Constrained Highly-Reliable mmWave Communication via Multi-point Connectivity
    Dileep Kumar, Satya Joshi, Antti Tölli
    http://arxiv.org/abs/2108.09021v1

    • [math.ST]A Novel Approach to Handling the Non-Central Dirichlet Distribution
    Carlo Orsi
    http://arxiv.org/abs/2108.08947v1

    • [math.ST]A Theoretical Analysis of the Stationarity of an Unrestricted Autoregression Process
    Varsha S. Kulkarni
    http://arxiv.org/abs/2108.09083v1

    • [math.ST]Detecting changes in the trend function of heteroscedastic time series
    Sara Kristin Schmidt
    http://arxiv.org/abs/2108.09206v1

    • [math.ST]Parameters not identifiable or distinguishable from data, including correlation between Gaussian observations
    Christian Hennig
    http://arxiv.org/abs/2108.09227v1

    • [math.ST]Signal Detection in Degree Corrected ERGMs
    Yuanzhe Xu, Sumit Mukherjee
    http://arxiv.org/abs/2108.09255v1

    • [physics.soc-ph]Analyzing the Behavior of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study
    Gergő Pintér, Imre Felde
    http://arxiv.org/abs/2108.09291v1

    • [q-bio.NC]Assessing Cerebellar Disorders With Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches
    Karin C. Knudson, Anoopum S. Gupta
    http://arxiv.org/abs/2108.08975v1

    • [stat.AP]A multi-level model for estimating region-age-time-type specific male circumcision coverage from household survey and health system data in South Africa
    Matthew L. Thomas, Khangelani Zuma, Dayanund Loykissoonlal, Bridget Dube, Peter Vranken, Sarah E. Porter, Katharine Kripke, Thapelo Seatlhodi, Gesine Meyer-Rath, Leigh F. Johnson, Jeffrey W. Eaton
    http://arxiv.org/abs/2108.09142v1

    • [stat.AP]Irish Property Price Estimation Using A Flexible Geo-spatial Smoothing Approach: What is the Impact of an Address?
    Aoife K. Hurley, James Sweeney
    http://arxiv.org/abs/2108.09175v1

    • [stat.CO]latentcor: An R Package for estimating latent correlations from mixed data types
    Mingze Huang, Christian L. Müller, Irina Gaynanova
    http://arxiv.org/abs/2108.09180v1

    • [stat.ME]A New Asymmetric Copula with Reversible Correlations and Its Application to the EU Sovereign Debt Crisis
    Masahito Kobayashi, Jinghui Chen
    http://arxiv.org/abs/2108.09278v1

    • [stat.ME]A comparison of different clustering approaches for high-dimensional presence-absence data
    Gabriele d’Angella, Christian Hennig
    http://arxiv.org/abs/2108.09243v1

    • [stat.ME]Advanced models for predicting event occurrence in event-driven clinical trials accounting for patient dropout, cure and ongoing recruitment
    Vladimir Anisimov, Stephen Gormley, Rosalind Baverstock, Cynthia Kineza
    http://arxiv.org/abs/2108.09196v1

    • [stat.ME]Quadratic Discriminant Analysis by Projection
    Ruiyang Wu, Ning Hao
    http://arxiv.org/abs/2108.09005v1

    • [stat.ME]Robust Designs for Prospective Randomized Trials Surveying Sensitive Topics
    Evan T. R. Rosenman, Rina Friedberg, Mike Baiocchi
    http://arxiv.org/abs/2108.08944v1

    • [stat.ML]Distributionally Robust Learning
    Ruidi Chen, Ioannis Ch. Paschalidis
    http://arxiv.org/abs/2108.08993v1

    • [stat.ML]Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization
    Can Bogoclu, Dirk Roos, Tamara Nestorović
    http://arxiv.org/abs/2108.08890v1

    • [stat.ML]Optimal Order Simple Regret for Gaussian Process Bandits
    Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-shan Shiu
    http://arxiv.org/abs/2108.09262v1

    • [stat.ML]State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition
    Patrick Heas, Cedric Herzet
    http://arxiv.org/abs/2108.09160v1

    • [stat.ML]Structure Learning for Directed Trees
    Martin Emil Jakobsen, Rajen D. Shah, Peter Bühlmann, Jonas Peters
    http://arxiv.org/abs/2108.08871v1