astro-ph.IM - 仪器仪表和天体物理学方法 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.CD - 混沌动力学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-fin.ST - 统计金融学 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
• [astro-ph.IM]Real-Time RFI Mitigation for the Apertif Radio Transient System
• [astro-ph.IM]Trend Filtering — II. Denoising Astronomical Signals with Varying Degrees of Smoothness
• [cs.AI]A Probabilistic Simulator of Spatial Demand for Product Allocation
• [cs.AI]Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
• [cs.CL]A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study
• [cs.CL]Co-evolution of language and agents in referential games
• [cs.CL]Learning to Multi-Task Learn for Better Neural Machine Translation
• [cs.CL]Machine Learning Approaches for Amharic Parts-of-speech Tagging
• [cs.CL]Simulating Lexical Semantic Change from Sense-Annotated Data
• [cs.CL]Towards Minimal Supervision BERT-based Grammar Error Correction
• [cs.CV]A Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images
• [cs.CV]Compressive sensing based privacy for fall detection
• [cs.CV]CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
• [cs.CV]DSGN: Deep Stereo Geometry Network for 3D Object Detection
• [cs.CV]Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition
• [cs.CV]Image Inpainting by Multiscale Spline Interpolation
• [cs.CV]Improving Image Autoencoder Embeddings with Perceptual Loss
• [cs.CV]In Defense of Grid Features for Visual Question Answering
• [cs.CV]Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data
• [cs.CV]MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection
• [cs.CV]NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
• [cs.CV]Pruning Convolutional Neural Networks with Self-Supervision
• [cs.CV]RSL-Net: Localising in Satellite Images From a Radar on the Ground
• [cs.CV]RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
• [cs.CV]SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
• [cs.CV]Seismic horizon detection with neural networks
• [cs.CV]Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
• [cs.CV]Visual Question Answering on 360° Images
• [cs.CY]A Complex Networks Approach to Find Latent Clusters of Terrorist Groups
• [cs.CY]Ethics of Technology needs more Political Philosophy
• [cs.CY]Measuring Women Representation and Impact in Films over Time
• [cs.CY]Should Artificial Intelligence Governance be Centralised? Design Lessons from History
• [cs.CY]Theory In, Theory Out: How social theory can solve problems that machine learning can’t
• [cs.DB]GeoCMS : Towards a Geo-Tagged Media Management System
• [cs.DC]An Efficient Universal Construction for Large Objects
• [cs.DC]Demo: Light-Weight Programming Language for Blockchain
• [cs.DC]OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems
• [cs.DC]RMWPaxos: Fault-Tolerant In-Place Consensus Sequences
• [cs.DC]Self-stabilizing Uniform Reliable Broadcast
• [cs.DS]Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data
• [cs.HC]Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies
• [cs.HC]SirenLess: reveal the intention behind news
• [cs.IR]Linking Social Media Posts to News with Siamese Transformers
• [cs.IR]Open Domain Question Answering Using Web Tables
• [cs.IT]An eikonal equation approach to thermodynamics and the gradient flows in information geometry
• [cs.IT]Authentication Against a Myopic Adversary
• [cs.IT]Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels
• [cs.IT]Energy-Minimizing Bit Allocation For Powerline OFDM With Multiple Delay Constraints
• [cs.IT]Error Probability Analysis of NOMA-based Diamond Relaying Network
• [cs.IT]On Optimal Load-Memory Tradeoff of Cache-Aided Scalar Linear Function Retrieval
• [cs.IT]Online Estimation and Adaptation for Random Access with Successive Interference Cancellation
• [cs.IT]PIR Codes with Short Block Length
• [cs.IT]Simultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation
• [cs.IT]Two Applications of Deep Learning in the Physical Layer of Communication Systems
• [cs.IT]Variable-Length Coding for Zero-Error Channel Capacity
• [cs.IT]Wiretap channels with causal state information: revisited
• [cs.LG]A sequential resource investment planning framework using reinforcement learning and simulation-based optimization: A case study on microgrid storage expansion
• [cs.LG]Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing
• [cs.LG]Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models
• [cs.LG]Campfire: Compressable, Regularization-Free, Structured Sparse Training for Hardware Accelerators
• [cs.LG]Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs
• [cs.LG]Efficient Memory Management for Deep Neural Net Inference
• [cs.LG]Explaining the Explainer: A First Theoretical Analysis of LIME
• [cs.LG]Guess First to Enable Better Compression and Adversarial Robustness
• [cs.LG]Inductive Document Network Embedding with Topic-Word Attention
• [cs.LG]Internal representation dynamics and geometry in recurrent neural networks
• [cs.LG]Learning credit assignment
• [cs.LG]Probabilistic K-means Clustering via Nonlinear Programming
• [cs.LG]SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems
• [cs.LG]Temporally Folded Convolutional Neural Networks for Sequence Forecasting
• [cs.LG]microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
• [cs.MA]A Policy-oriented Agent-based Model of Recruitment into Organized Crime
• [cs.MM]Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks
• [cs.PL]Multi-layer Optimizations for End-to-End Data Analytics
• [cs.RO]Are you still with me? Continuous Engagement Assessment from a Robot’s Point of View
• [cs.RO]Camera-Based Adaptive Trajectory Guidance via Neural Networks
• [cs.RO]Design and Control of a Variable Aerial Cable Towed System
• [cs.RO]Real-Time Long Range Trajectory Replanning for UAVs in Presence of Dynamics Obstacles
• [cs.SI]Measuring Similarity between Brands using Followers’ Post in Social Media
• [cs.SI]Superbubbles as an Empirical Characteristic of Directed Networks
• [econ.GN]The Logic of Strategic Assets: From Oil to Artificial Intelligence
• [eess.IV]A Two-step-training Deep Learning Framework for Real-time Computational Imaging without Physics Priors
• [eess.IV]Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification
• [eess.IV]Diagnosing Colorectal Polyps in the Wild with Capsule Networks
• [eess.IV]Vertebra-Focused Landmark Detection for Scoliosis Assessment
• [eess.SP]A rasterized ray-tracer pipeline for real-time, multi-device sonar simulation
• [eess.SP]Sum Rate Maximization for Reconfigurable Intelligent Surface Assisted Device-to-Device Communications
• [eess.SP]Time-Varying Graph Learning with Constraints on Graph Temporal Variation
• [eess.SY]Decentralized Optimization of Vehicle Route Planning — A Cross-City Comparative Study
• [math.NA]Solving inverse-PDE problems with physics-aware neural networks
• [math.OC]Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations
• [math.PR]Convergence of Bayesian Estimators for Diffusions in Genetics
• [math.PR]On generating fully discrete samples of the stochastic heat equation on an interval
• [math.ST]Minimax Optimal Conditional Independence Testing
• [nlin.CD]Zooming into chaos for a fast, light and reliable cryptosystem
• [physics.soc-ph]Network Geometry
• [q-bio.GN]Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets
• [q-fin.ST]A new approach for trading based on Long Short Term Memory technique
• [quant-ph]Preparation of ordered states in ultra-cold gases using Bayesian optimization
• [stat.AP]Decision tool and Sample Size Calculator for Composite Endpoints
• [stat.ME]Discussion of “Functional Models for Time-Varying Random Objects’’ by Dubey and Müller
• [stat.ME]Personalized Policy Learning using Longitudinal Mobile Health Data
• [stat.ME]Statistical Data Integration in Survey Sampling: A Review
• [stat.ML]Choosing the Sample with Lowest Loss makes SGD Robust
• [stat.ML]Data-Dependence of Plateau Phenomenon in Learning with Neural Network —- Statistical Mechanical Analysis
• [stat.ML]Entropy Regularized Power k-Means Clustering
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• [astro-ph.IM]Real-Time RFI Mitigation for the Apertif Radio Transient System
Alessio Sclocco, Dany Vohl, Rob V. van Nieuwpoort
http://arxiv.org/abs/2001.03389v1
• [astro-ph.IM]Trend Filtering — II. Denoising Astronomical Signals with Varying Degrees of Smoothness
Collin A. Politsch, Jessi Cisewski-Kehe, Rupert A. C. Croft, Larry Wasserman
http://arxiv.org/abs/2001.03552v1
• [cs.AI]A Probabilistic Simulator of Spatial Demand for Product Allocation
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
http://arxiv.org/abs/2001.03210v1
• [cs.AI]Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li
http://arxiv.org/abs/2001.03359v1
• [cs.CL]A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study
Sihyeon Jo, Sangwon Im, SangWook Han, Seung Hee Yang, Hee-Eun Kim, Seong-Woo Kim
http://arxiv.org/abs/2001.03278v1
• [cs.CL]Co-evolution of language and agents in referential games
Gautier Dagan, Dieuwke Hupkes, Elia Bruni
http://arxiv.org/abs/2001.03361v1
• [cs.CL]Learning to Multi-Task Learn for Better Neural Machine Translation
Poorya Zaremoodi, Gholamreza Haffari
http://arxiv.org/abs/2001.03294v1
• [cs.CL]Machine Learning Approaches for Amharic Parts-of-speech Tagging
Ibrahim Gashaw, H L. Shashirekha
http://arxiv.org/abs/2001.03324v1
• [cs.CL]Simulating Lexical Semantic Change from Sense-Annotated Data
Dominik Schlechtweg, Sabine Schulte im Walde
http://arxiv.org/abs/2001.03216v1
• [cs.CL]Towards Minimal Supervision BERT-based Grammar Error Correction
Yiyuan Li, Antonios Anastasopoulos, Alan W Black
http://arxiv.org/abs/2001.03521v1
• [cs.CV]A Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images
Liming Jiang, Yuanchang Xie, Tianzhu Ren
http://arxiv.org/abs/2001.03257v1
• [cs.CV]Compressive sensing based privacy for fall detection
Ronak Gupta, Prashant Anand, Santanu Chaudhury, Brejesh Lall, Sanjay Singh
http://arxiv.org/abs/2001.03463v1
• [cs.CV]CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang
http://arxiv.org/abs/2001.03182v1
• [cs.CV]DSGN: Deep Stereo Geometry Network for 3D Object Detection
Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia
http://arxiv.org/abs/2001.03398v1
• [cs.CV]Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition
Roland Haase, Stefan Heldmann, Jan Lellmann
http://arxiv.org/abs/2001.03509v1
• [cs.CV]Image Inpainting by Multiscale Spline Interpolation
Ghazale Ghorbanzade, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
http://arxiv.org/abs/2001.03270v1
• [cs.CV]Improving Image Autoencoder Embeddings with Perceptual Loss
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
http://arxiv.org/abs/2001.03444v1
• [cs.CV]In Defense of Grid Features for Visual Question Answering
Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik Learned-Miller, Xinlei Chen
http://arxiv.org/abs/2001.03615v1
• [cs.CV]Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data
Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
http://arxiv.org/abs/2001.03455v1
• [cs.CV]MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection
Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart
http://arxiv.org/abs/2001.03194v1
• [cs.CV]NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
Qi Wang, Junyu Gao, Wei Lin, Xuelong Li
http://arxiv.org/abs/2001.03360v1
• [cs.CV]Pruning Convolutional Neural Networks with Self-Supervision
Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
http://arxiv.org/abs/2001.03554v1
• [cs.CV]RSL-Net: Localising in Satellite Images From a Radar on the Ground
Tim Y. Tang, Daniele De Martini, Dan Barnes, Paul Newman
http://arxiv.org/abs/2001.03233v1
• [cs.CV]RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao
http://arxiv.org/abs/2001.03343v1
• [cs.CV]SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise, Thomas Stifter, Didier Stricker
http://arxiv.org/abs/2001.03483v1
• [cs.CV]Seismic horizon detection with neural networks
Alexander Koryagin, Darima Mylzenova, Roman Khudorozhkov, Sergey Tsimfer
http://arxiv.org/abs/2001.03390v1
• [cs.CV]Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Ling-Yu Duan, Jiaying Liu, Wenhan Yang, Tiejun Huang, Wen Gao
http://arxiv.org/abs/2001.03569v1
• [cs.CV]Visual Question Answering on 360° Images
Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang
http://arxiv.org/abs/2001.03339v1
• [cs.CY]A Complex Networks Approach to Find Latent Clusters of Terrorist Groups
Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley
http://arxiv.org/abs/2001.03367v1
• [cs.CY]Ethics of Technology needs more Political Philosophy
Johannes Himmelreich
http://arxiv.org/abs/2001.03511v1
• [cs.CY]Measuring Women Representation and Impact in Films over Time
Luoying Yang, Zhou Xu, Jiebo Luo
http://arxiv.org/abs/2001.03513v1
• [cs.CY]Should Artificial Intelligence Governance be Centralised? Design Lessons from History
Peter Cihon, Matthijs M. Maas, Luke Kemp
http://arxiv.org/abs/2001.03573v1
• [cs.CY]Theory In, Theory Out: How social theory can solve problems that machine learning can’t
Jason Radford, Kenneth Joseph
http://arxiv.org/abs/2001.03203v1
• [cs.DB]GeoCMS : Towards a Geo-Tagged Media Management System
Jang You Park, YongHee Jung, Wei Ding, Kwang Woo Nam
http://arxiv.org/abs/2001.03284v1
• [cs.DC]An Efficient Universal Construction for Large Objects
Panagiota Fatourou, Nikolaos D. Kallimanis, Eleni Kanellou
http://arxiv.org/abs/2001.03457v1
• [cs.DC]Demo: Light-Weight Programming Language for Blockchain
Junhui Kim, Joongheon Kim
http://arxiv.org/abs/2001.03365v1
• [cs.DC]OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems
Chenhao Xie, Xin Fu, Mingsong Chen, Shuaiwen Leon Song
http://arxiv.org/abs/2001.03537v1
• [cs.DC]RMWPaxos: Fault-Tolerant In-Place Consensus Sequences
Jan Skrzypczak, Florian Schintke, Thorsten Schütt
http://arxiv.org/abs/2001.03362v1
• [cs.DC]Self-stabilizing Uniform Reliable Broadcast
Oskar Lundström, Michel Raynal, Elad M. Schiller
http://arxiv.org/abs/2001.03244v1
• [cs.DS]Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulosc, Jinhua Zhao
http://arxiv.org/abs/2001.03196v1
• [cs.HC]Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies
Mariah L. Schrum, Michael Johnson, Muyleng Ghuy, Matthew C. Gombolay
http://arxiv.org/abs/2001.03231v1
• [cs.HC]SirenLess: reveal the intention behind news
Xumeng Chen, Leo Yu-Ho Lo, Huamin Qu
http://arxiv.org/abs/2001.02731v1
• [cs.IR]Linking Social Media Posts to News with Siamese Transformers
Jacob Danovitch
http://arxiv.org/abs/2001.03303v1
• [cs.IR]Open Domain Question Answering Using Web Tables
Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao
http://arxiv.org/abs/2001.03272v1
• [cs.IT]An eikonal equation approach to thermodynamics and the gradient flows in information geometry
Tatsuaki Wada, Antonio M. Scarfone, Hiroshi Matsuzoe
http://arxiv.org/abs/2001.03437v1
• [cs.IT]Authentication Against a Myopic Adversary
Allison Beemer, Eric Graves, Joerg Kliewer, Oliver Kosut, Paul Yu
http://arxiv.org/abs/2001.03593v1
• [cs.IT]Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels
V. Arvind Rameshwar, Navin Kashyap
http://arxiv.org/abs/2001.03423v1
• [cs.IT]Energy-Minimizing Bit Allocation For Powerline OFDM With Multiple Delay Constraints
Kaemmatat Jiravanstit, Wiroonsak Santipach
http://arxiv.org/abs/2001.03282v1
• [cs.IT]Error Probability Analysis of NOMA-based Diamond Relaying Network
Ferdi Kara, Hakan Kaya
http://arxiv.org/abs/2001.03323v1
• [cs.IT]On Optimal Load-Memory Tradeoff of Cache-Aided Scalar Linear Function Retrieval
Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire
http://arxiv.org/abs/2001.03577v1
• [cs.IT]Online Estimation and Adaptation for Random Access with Successive Interference Cancellation
Sang-Woon Jeon, Hu Jin
http://arxiv.org/abs/2001.03248v1
• [cs.IT]PIR Codes with Short Block Length
Sascha Kurz, Eitan Yaakobi
http://arxiv.org/abs/2001.03433v1
• [cs.IT]Simultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation
Qiao Lan, Hyo Seung Kang, Kaibin Huang
http://arxiv.org/abs/2001.03309v1
• [cs.IT]Two Applications of Deep Learning in the Physical Layer of Communication Systems
Emil Björnson, Pontus Giselsson
http://arxiv.org/abs/2001.03350v1
• [cs.IT]Variable-Length Coding for Zero-Error Channel Capacity
Nicolas Charpenay, Maël Le Treust
http://arxiv.org/abs/2001.03523v1
• [cs.IT]Wiretap channels with causal state information: revisited
Te Sun Han, Masahide Sasaki
http://arxiv.org/abs/2001.03482v1
• [cs.LG]A sequential resource investment planning framework using reinforcement learning and simulation-based optimization: A case study on microgrid storage expansion
S. Tsianikas, N. Yousefi, J. Zhou, M. Rodgers, D. W. Coit
http://arxiv.org/abs/2001.03507v1
• [cs.LG]Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing
Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek
http://arxiv.org/abs/2001.03314v1
• [cs.LG]Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models
Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
http://arxiv.org/abs/2001.03274v1
• [cs.LG]Campfire: Compressable, Regularization-Free, Structured Sparse Training for Hardware Accelerators
Noah Gamboa, Kais Kudrolli, Anand Dhoot, Ardavan Pedram
http://arxiv.org/abs/2001.03253v1
• [cs.LG]Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
http://arxiv.org/abs/2001.03436v1
• [cs.LG]Efficient Memory Management for Deep Neural Net Inference
Yury Pisarchyk, Juhyun Lee
http://arxiv.org/abs/2001.03288v1
• [cs.LG]Explaining the Explainer: A First Theoretical Analysis of LIME
Damien Garreau, Ulrike von Luxburg
http://arxiv.org/abs/2001.03447v1
• [cs.LG]Guess First to Enable Better Compression and Adversarial Robustness
Sicheng Zhu, Bang An, Shiyu Niu
http://arxiv.org/abs/2001.03311v1
• [cs.LG]Inductive Document Network Embedding with Topic-Word Attention
Robin Brochier, Adrien Guille, Julien Velcin
http://arxiv.org/abs/2001.03369v1
• [cs.LG]Internal representation dynamics and geometry in recurrent neural networks
Stefan Horoi, Guillaume Lajoie, Guy Wolf
http://arxiv.org/abs/2001.03255v1
• [cs.LG]Learning credit assignment
Chan Li, Haiping Huang
http://arxiv.org/abs/2001.03354v1
• [cs.LG]Probabilistic K-means Clustering via Nonlinear Programming
Yujian Li, Bowen Liu, Zhaoying Liu, Ting Zhang
http://arxiv.org/abs/2001.03286v1
• [cs.LG]SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems
Sahil Manchanda, Arun Rajkumar, Simarjot Kaur, Narayanan Unny
http://arxiv.org/abs/2001.03386v1
• [cs.LG]Temporally Folded Convolutional Neural Networks for Sequence Forecasting
Matthias Weissenbacher
http://arxiv.org/abs/2001.03340v1
• [cs.LG]microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
Gonçalo Mordido, Haojin Yang, Christoph Meinel
http://arxiv.org/abs/2001.03376v1
• [cs.MA]A Policy-oriented Agent-based Model of Recruitment into Organized Crime
Gian Maria Campedelli, Francesco Calderoni, Mario Paolucci, Tommaso Comunale, Daniele Vilone, Federico Cecconi, Giulia Andrighetto
http://arxiv.org/abs/2001.03494v1
• [cs.MM]Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks
Mahnoosh Bagheri, Majid Mohrekesh, Nader Karimi, Shadrokh Samavi
http://arxiv.org/abs/2001.03251v1
• [cs.PL]Multi-layer Optimizations for End-to-End Data Analytics
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
http://arxiv.org/abs/2001.03541v1
• [cs.RO]Are you still with me? Continuous Engagement Assessment from a Robot’s Point of View
Francesco Del Duchetto, Paul Baxter, Marc Hanheide
http://arxiv.org/abs/2001.03515v1
• [cs.RO]Camera-Based Adaptive Trajectory Guidance via Neural Networks
Aditya Rajguru, Christopher Collander, William J. Beksi
http://arxiv.org/abs/2001.03205v1
• [cs.RO]Design and Control of a Variable Aerial Cable Towed System
Zhen Li, Julian Erskine, Stéphane Caro, Abdelhamid Chriette
http://arxiv.org/abs/2001.03435v1
• [cs.RO]Real-Time Long Range Trajectory Replanning for UAVs in Presence of Dynamics Obstacles
Geesara Kulathunga, Roman Fedorenko, Sergey Kopylov, Alexandr Klimchik
http://arxiv.org/abs/2001.03605v1
• [cs.SI]Measuring Similarity between Brands using Followers’ Post in Social Media
Yiwei Zhang, Xueting Wang, Yoshiaki Sakai, Toshihiko Yamasaki
http://arxiv.org/abs/2001.03353v1
• [cs.SI]Superbubbles as an Empirical Characteristic of Directed Networks
Fabian Gärtner, Felix Kühnl, Carsten R. Seemann, The Students of the Graphs, Networks Computer Lab 2018/19, Christian Höner zu Siederdissen, Peter F. Stadler
http://arxiv.org/abs/2001.03409v1
• [econ.GN]The Logic of Strategic Assets: From Oil to Artificial Intelligence
Jeffrey Ding, Allan Dafoe
http://arxiv.org/abs/2001.03246v1
• [eess.IV]A Two-step-training Deep Learning Framework for Real-time Computational Imaging without Physics Priors
Ruibo Shang, Kevin Hoffer-Hawlik, Geoffrey P. Luke
http://arxiv.org/abs/2001.03493v1
• [eess.IV]Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification
Kitsuchart Pasupa, Supawit Vatathanavaro, Suchat Tungjitnob
http://arxiv.org/abs/2001.03329v1
• [eess.IV]Diagnosing Colorectal Polyps in the Wild with Capsule Networks
Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci
http://arxiv.org/abs/2001.03305v1
• [eess.IV]Vertebra-Focused Landmark Detection for Scoliosis Assessment
Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas
http://arxiv.org/abs/2001.03187v1
• [eess.SP]A rasterized ray-tracer pipeline for real-time, multi-device sonar simulation
Rômulo Cerqueira, Tiago Trocoli, Jan Albiez, Luciano Oliveira
http://arxiv.org/abs/2001.03539v1
• [eess.SP]Sum Rate Maximization for Reconfigurable Intelligent Surface Assisted Device-to-Device Communications
Yashuai Cao, Tiejun Lv
http://arxiv.org/abs/2001.03344v1
• [eess.SP]Time-Varying Graph Learning with Constraints on Graph Temporal Variation
Koki Yamada, Yuichi Tanaka, Antonio Ortega
http://arxiv.org/abs/2001.03346v1
• [eess.SY]Decentralized Optimization of Vehicle Route Planning — A Cross-City Comparative Study
Brionna Davis, Grace Jennings, Taylor Pothast, Ilias Gerostathopoulos, Evangelos Pournaras, Raphael E. Stern
http://arxiv.org/abs/2001.03384v1
• [math.NA]Solving inverse-PDE problems with physics-aware neural networks
Samira Pakravan, Pouria A. Mistani, Miguel Angel Aragon-Calvo, Frederic Gibou
http://arxiv.org/abs/2001.03608v1
• [math.OC]Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations
Tadashi Wadayama, Satoshi Takabe
http://arxiv.org/abs/2001.03280v1
• [math.PR]Convergence of Bayesian Estimators for Diffusions in Genetics
Jaromir Sant, Paul A. Jenkins, Jere Koskela, Dario Spano
http://arxiv.org/abs/2001.03527v1
• [math.PR]On generating fully discrete samples of the stochastic heat equation on an interval
Florian Hildebrandt
http://arxiv.org/abs/2001.03403v1
• [math.ST]Minimax Optimal Conditional Independence Testing
Matey Neykov, Sivaraman Balakrishnan, Larry Wasserman
http://arxiv.org/abs/2001.03039v2
• [nlin.CD]Zooming into chaos for a fast, light and reliable cryptosystem
Jeaneth Machicao, Odemir M. Bruno, Murilo S. Baptista
http://arxiv.org/abs/2001.03549v1
• [physics.soc-ph]Network Geometry
Marian Boguna, Ivan Bonamassa, Manlio De Domenico, Shlomo Havlin, Dmitri Krioukov, M. Angeles Serrano
http://arxiv.org/abs/2001.03241v1
• [q-bio.GN]Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets
Hayda Almeida, Adrian Tsang, Abdoulaye Baniré Diallo
http://arxiv.org/abs/2001.03260v1
• [q-fin.ST]A new approach for trading based on Long Short Term Memory technique
Zineb Lanbouri, Saaid Achchab
http://arxiv.org/abs/2001.03333v1
• [quant-ph]Preparation of ordered states in ultra-cold gases using Bayesian optimization
Rick Mukherjee, Frederic Sauvage, Harry Xie, Robert Loew, Florian Mintert
http://arxiv.org/abs/2001.03520v1
• [stat.AP]Decision tool and Sample Size Calculator for Composite Endpoints
Marta Bofill Roig, Jordi Cortés Martínez, Guadalupe Gómez Melis
http://arxiv.org/abs/2001.03396v1
• [stat.ME]Discussion of “Functional Models for Time-Varying Random Objects’’ by Dubey and Müller
Dino Sejdinovic
http://arxiv.org/abs/2001.03267v1
• [stat.ME]Personalized Policy Learning using Longitudinal Mobile Health Data
Xinyu Hu, Min Qian, Bin Cheng, Ying Kuen Cheung
http://arxiv.org/abs/2001.03258v1
• [stat.ME]Statistical Data Integration in Survey Sampling: A Review
Shu Yang, Jae Kwang Kim
http://arxiv.org/abs/2001.03259v1
• [stat.ML]Choosing the Sample with Lowest Loss makes SGD Robust
Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi
http://arxiv.org/abs/2001.03316v1
• [stat.ML]Data-Dependence of Plateau Phenomenon in Learning with Neural Network —- Statistical Mechanical Analysis
Yuki Yoshida, Masato Okada
http://arxiv.org/abs/2001.03371v1
• [stat.ML]Entropy Regularized Power k-Means Clustering
Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Xu
http://arxiv.org/abs/2001.03452v1