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.DC - 分布式、并行与集群计算
cs.DM - 离散数学
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SD - 声音处理
cs.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.OC - 优化与控制
math.ST - 统计理论
physics.med-ph - 医学物理学
q-bio.QM - 定量方法
stat.AP - 应用统计
stat.ML - (统计)机器学习
stat.OT - 其他统计学
• [astro-ph.IM]Attitude Control of an Inflatable Sailplane for Mars Exploration
• [astro-ph.IM]Guidance, Navigation and Control of Asteroid Mobile Imager and Geologic Observer (AMIGO)
• [astro-ph.IM]Spacecraft Swarm Attitude Control for Small Body Surface Observation
• [cs.AI]A Generalized Framework for Population Based Training
• [cs.AI]A Guiding Principle for Causal Decision Problems
• [cs.AI]Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI
• [cs.AI]Neural-Network Guided Expression Transformation
• [cs.AI]Situational Grounding within Multimodal Simulations
• [cs.AI]The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations
• [cs.CL]Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing
• [cs.CL]Extending a model for ontology-based Arabic-English machine translation
• [cs.CL]Model Unit Exploration for Sequence-to-Sequence Speech Recognition
• [cs.CL]Non-Monotonic Sequential Text Generation
• [cs.CL]Word Embeddings for Entity-annotated Texts
• [cs.CV]6D Object Pose Estimation without PnP
• [cs.CV]A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras
• [cs.CV]Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations
• [cs.CV]Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples
• [cs.CV]Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images
• [cs.CV]GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping
• [cs.CV]Progressive Generative Adversarial Networks for Medical Image Super resolution
• [cs.CV]Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks
• [cs.CV]Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation
• [cs.CY]A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability
• [cs.CY]Bot Electioneering Volume: Visualizing Social Bot Activity During Elections
• [cs.DC]Blaze: Simplified High Performance Cluster Computing
• [cs.DC]Blockchain Storage Load Balancing Among DHT Clustered Nodes
• [cs.DC]Etude de la Distribution de Calculs Creux sur une Grappe Multi-coeurs
• [cs.DC]Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures
• [cs.DC]Fast Strassen-based Parallel Multiplication
• [cs.DC]Integrating Amdahl-like Laws and Divisible Load Theory
• [cs.DC]Optimal Divisible Load Scheduling for Resource-Sharing Network
• [cs.DC]Reinforcement Learning for Optimal Load Distribution Sequencing in Resource-Sharing System
• [cs.DC]Scheduling and Trade-off Analysis for Multi-Source Multi-Processor Systems with Divisible Loads
• [cs.DM]Information-theoretic and algorithmic thresholds for group testing
• [cs.IT]Age of Information in Multiple Sensing of a Single Source
• [cs.IT]Blind Signal Classification Analysis and Impact on User Scheduling and Power Allocation in Nonorthogonal Multiple Access
• [cs.IT]Fast Decoding of Multi-Kernel Polar Codes
• [cs.IT]Information Flow in Computational Systems
• [cs.IT]Joint Channel Coding and Cooperative Network Coding on PSK Constellations in Wireless Networks
• [cs.IT]Performance Analysis of Joint Radar and Communication using OFDM and OTFS
• [cs.LG]A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning
• [cs.LG]A General Theory for Structured Prediction with Smooth Convex Surrogates
• [cs.LG]Active Learning for High-Dimensional Binary Features
• [cs.LG]An Automated Spectral Clustering for Multi-scale Data
• [cs.LG]Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
• [cs.LG]Common Mode Patterns for Supervised Tensor Subspace Learning
• [cs.LG]Decentralized Flood Forecasting Using Deep Neural Networks
• [cs.LG]Deep CSI Learning for Gait Biometric Sensing and Recognition
• [cs.LG]Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning
• [cs.LG]Distilling Policy Distillation
• [cs.LG]Equal Opportunity in Online Classification with Partial Feedback
• [cs.LG]Exponentiated Gradient Meets Gradient Descent
• [cs.LG]Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation
• [cs.LG]Fooling Neural Network Interpretations via Adversarial Model Manipulation
• [cs.LG]Generative Image Translation for Data Augmentation of Bone Lesion Pathology
• [cs.LG]Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples?
• [cs.LG]Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models
• [cs.LG]Linear Inequality Constraints for Neural Network Activations
• [cs.LG]Meta-Amortized Variational Inference and Learning
• [cs.LG]Mol-CycleGAN - a generative model for molecular optimization
• [cs.LG]Neural Fictitious Self-Play on ELF Mini-RTS
• [cs.LG]Neural Network Attributions: A Causal Perspective
• [cs.LG]Permutation Invariant Likelihoods and Equivariant Transformations
• [cs.LG]Quantum Sparse Support Vector Machines
• [cs.LG]Regularizing Generative Models Using Knowledge of Feature Dependence
• [cs.LG]Robust Matrix Completion State Estimation in Distribution Systems
• [cs.LG]Robust One-Class Kernel Spectral Regression
• [cs.LG]Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization
• [cs.LG]Semi-Supervised Learning by Label Gradient Alignment
• [cs.LG]Separating value functions across time-scales
• [cs.LG]Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks
• [cs.LG]Transfer Learning From Sound Representations For Anger Detection in Speech
• [cs.LG]TzK: Flow-Based Conditional Generative Model
• [cs.LG]Unsupervised Polyglot Text To Speech
• [cs.MA]CESMA: Centralized Expert Supervises Multi-Agents
• [cs.NE]Widely Linear Kernels for Complex-Valued Kernel Activation Functions
• [cs.RO]Adaptive Stress Testing for Autonomous Vehicles
• [cs.RO]CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association
• [cs.RO]Motion Planning on an Asteroid Surface with Irregular Gravity Fields
• [cs.SD]Polyphonic Music Composition with LSTM Neural Networks and Reinforcement Learning
• [cs.SI]Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts
• [eess.IV]Content-based image retrieval system with most relevant features among wavelet and color features
• [eess.IV]Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks
• [eess.SP]State Estimation over Worst-Case Erasure and Symmetric Channels with Memory
• [math.OC]Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
• [math.OC]Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions
• [math.ST]Asymptotic Consistency of Rényi-Approximate Posteriors
• [math.ST]Fast Mean Estimation with Sub-Gaussian Rates
• [math.ST]Joint distribution of a random sample and an order statistic: A new approach with an application in reliability analysis
• [math.ST]Robust learning and complexity dependent bounds for regularized problems
• [math.ST]Testing Markov Chains without Hitting
• [math.ST]Uniform concentration and symmetrization for weak interactions
• [physics.med-ph]Detection of perfusion ROI as a quality control in perfusion analysis
• [q-bio.QM]Restriction enzymes use a 24 dimensional coding space to recognize 6 base long DNA sequences
• [q-bio.QM]The Parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems
• [stat.AP]Heavy User Effect in A/B Testing: Identification and Estimation
• [stat.AP]Modelling the effect of training on performance in road cycling: estimation of the Banister model parameters using field data
• [stat.AP]Playing Fast Not Loose: Evaluating team-level pace of play in ice hockey using spatio-temporal possession data
• [stat.AP]The relative efficiency of time-to-progression and continuous measures of cognition in pre-symptomatic Alzheimer's
• [stat.AP]Using statistical control charts to monitor duration-based performance of project
• [stat.ML]Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
• [stat.ML]Are All Layers Created Equal?
• [stat.ML]BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
• [stat.ML]Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
• [stat.ML]CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning
• [stat.ML]Dynamic Pricing for Airline Ancillaries with Customer Context
• [stat.ML]Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing
• [stat.ML]Un modèle Bayésien de co-clustering de données mixtes
• [stat.OT]CMS Sematrix: A Tool to Aid the Development of Clinical Quality Measures (CQMs)
·····································
• [astro-ph.IM]Attitude Control of an Inflatable Sailplane for Mars Exploration
Adrien Bouskela, Aman Chandra, Jekan Thangavelautham, Sergey Shkarayev
http://arxiv.org/abs/1902.02083v1
• [astro-ph.IM]Guidance, Navigation and Control of Asteroid Mobile Imager and Geologic Observer (AMIGO)
Greg Wilburn, Himangshu Kalita, Aman Chandra, Stephen Schwartz, Erik Asphaug, Jekan Thangavelautham
http://arxiv.org/abs/1902.02071v1
• [astro-ph.IM]Spacecraft Swarm Attitude Control for Small Body Surface Observation
Ravi Nallapu, Jekan Thangavelautham
http://arxiv.org/abs/1902.02084v1
• [cs.AI]A Generalized Framework for Population Based Training
Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta
http://arxiv.org/abs/1902.01894v1
• [cs.AI]A Guiding Principle for Causal Decision Problems
M. Gonzalez-Soto, L. E. Sucar, H. J. Escalante
http://arxiv.org/abs/1902.02279v1
• [cs.AI]Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI
Shane T. Mueller, Robert R. Hoffman, William Clancey, Abigail Emrey, Gary Klein
http://arxiv.org/abs/1902.01876v1
• [cs.AI]Neural-Network Guided Expression Transformation
Romain Edelmann, Viktor Kunčak
http://arxiv.org/abs/1902.02194v1
• [cs.AI]Situational Grounding within Multimodal Simulations
James Pustejovsky, Nikhil Krishnaswamy
http://arxiv.org/abs/1902.01886v1
• [cs.AI]The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations
Félix Díaz-Hermida, Marcos Matabuena, Juan C. Vidal
http://arxiv.org/abs/1902.02132v1
• [cs.CL]Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing
Andrea Galassi, Marco Lippi, Paolo Torroni
http://arxiv.org/abs/1902.02181v1
• [cs.CL]Extending a model for ontology-based Arabic-English machine translation
Neama Abdulaziz Dahan, Fadl Mutaher Ba-Alwi
http://arxiv.org/abs/1902.02326v1
• [cs.CL]Model Unit Exploration for Sequence-to-Sequence Speech Recognition
Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen
http://arxiv.org/abs/1902.01955v1
• [cs.CL]Non-Monotonic Sequential Text Generation
Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho
http://arxiv.org/abs/1902.02192v1
• [cs.CL]Word Embeddings for Entity-annotated Texts
Satya Almasian, Andreas Spitz, Michael Gertz
http://arxiv.org/abs/1902.02078v1
• [cs.CV]6D Object Pose Estimation without PnP
Jin Liu, Sheng He
http://arxiv.org/abs/1902.01728v2
• [cs.CV]A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras
Icaro O. de Oliveira, Keiko V. O. Fonseca, Rodrigo Minetto
http://arxiv.org/abs/1902.01496v2
• [cs.CV]Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations
Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze
http://arxiv.org/abs/1902.02205v1
• [cs.CV]Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples
Derui Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang
http://arxiv.org/abs/1902.02067v1
• [cs.CV]Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images
Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang
http://arxiv.org/abs/1902.02342v1
• [cs.CV]GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping
Punarjay Chakravarty, Praveen Narayanan, Tom Roussel
http://arxiv.org/abs/1902.02086v1
• [cs.CV]Progressive Generative Adversarial Networks for Medical Image Super resolution
Dwarikanath Mahapatra, Behzad Bozorgtabar
http://arxiv.org/abs/1902.02144v1
• [cs.CV]Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks
Yueru Chen, Yijing Yang, Min Zhang, C. -C. Jay Kuo
http://arxiv.org/abs/1902.01980v1
• [cs.CV]Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation
Yuxin Hou, Arno Solin, Juho Kannala
http://arxiv.org/abs/1902.02166v1
• [cs.CY]A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability
Mohammad Sadnan Al Manir, Jon Haël Brenas, Christopher JO Baker, Arash Shaban-Nejad
http://arxiv.org/abs/1902.01877v1
• [cs.CY]Bot Electioneering Volume: Visualizing Social Bot Activity During Elections
Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer
http://arxiv.org/abs/1902.02339v1
• [cs.DC]Blaze: Simplified High Performance Cluster Computing
Junhao Li, Hang Zhang
http://arxiv.org/abs/1902.01437v2
• [cs.DC]Blockchain Storage Load Balancing Among DHT Clustered Nodes
Ryosuke Abe
http://arxiv.org/abs/1902.02174v1
• [cs.DC]Etude de la Distribution de Calculs Creux sur une Grappe Multi-coeurs
Mouadh Ayachi
http://arxiv.org/abs/1902.02156v1
• [cs.DC]Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures
Anastasiia Butko, Florent Bruguier, David Novo, Abdoulaye Gamatié, Gilles Sassatelli
http://arxiv.org/abs/1902.02343v1
• [cs.DC]Fast Strassen-based Parallel Multiplication
Viviana Arrigoni, Annalisa Massini
http://arxiv.org/abs/1902.02104v1
• [cs.DC]Integrating Amdahl-like Laws and Divisible Load Theory
Yang Cao, Fei Wu, Thomas Robertazzi
http://arxiv.org/abs/1902.01952v1
• [cs.DC]Optimal Divisible Load Scheduling for Resource-Sharing Network
Fei Wu, Yang Cao, Thomas Robertazzi
http://arxiv.org/abs/1902.01898v1
• [cs.DC]Reinforcement Learning for Optimal Load Distribution Sequencing in Resource-Sharing System
Fei Wu, Yang Cao, Thomas Robertazzi
http://arxiv.org/abs/1902.01899v1
• [cs.DC]Scheduling and Trade-off Analysis for Multi-Source Multi-Processor Systems with Divisible Loads
Yang Cao, Fei Wu, Thomas Robertazzi
http://arxiv.org/abs/1902.01994v1
• [cs.DM]Information-theoretic and algorithmic thresholds for group testing
Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick
http://arxiv.org/abs/1902.02202v1
• [cs.IT]Age of Information in Multiple Sensing of a Single Source
Alireza Javani, Zhiying Wang
http://arxiv.org/abs/1902.01975v1
• [cs.IT]Blind Signal Classification Analysis and Impact on User Scheduling and Power Allocation in Nonorthogonal Multiple Access
Minseok Choi, Joongheon Kim
http://arxiv.org/abs/1902.02090v1
• [cs.IT]Fast Decoding of Multi-Kernel Polar Codes
Adam Cavatassi, Thibaud Tonnellier, Warren J. Gross
http://arxiv.org/abs/1902.01922v1
• [cs.IT]Information Flow in Computational Systems
Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover
http://arxiv.org/abs/1902.02292v1
• [cs.IT]Joint Channel Coding and Cooperative Network Coding on PSK Constellations in Wireless Networks
Elias Benamira, Fatiha Merazka, Gunes Karabulut Kurt
http://arxiv.org/abs/1902.01913v1
• [cs.IT]Performance Analysis of Joint Radar and Communication using OFDM and OTFS
Lorenzo Gaudio, Mari Kobayashi, Björn Bissinger, Giuseppe Caire
http://arxiv.org/abs/1902.01184v2
• [cs.LG]A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning
Jinshan Zeng, Shao-Bo Lin, Yuan Yao
http://arxiv.org/abs/1902.02060v1
• [cs.LG]A General Theory for Structured Prediction with Smooth Convex Surrogates
Alex Nowak-Vila, Francis Bach, Alessandro Rudi
http://arxiv.org/abs/1902.01958v1
• [cs.LG]Active Learning for High-Dimensional Binary Features
Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia
http://arxiv.org/abs/1902.01923v1
• [cs.LG]An Automated Spectral Clustering for Multi-scale Data
Milad Afzalan, Farrokh Jazizadeh
http://arxiv.org/abs/1902.01990v1
• [cs.LG]Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
http://arxiv.org/abs/1902.02244v1
• [cs.LG]Common Mode Patterns for Supervised Tensor Subspace Learning
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
http://arxiv.org/abs/1902.02075v1
• [cs.LG]Decentralized Flood Forecasting Using Deep Neural Networks
Muhammed Sit, Ibrahim Demir
http://arxiv.org/abs/1902.02308v1
• [cs.LG]Deep CSI Learning for Gait Biometric Sensing and Recognition
Kalvik Jakkala, Arupjyoti Bhuya, Zhi Sun, Pu Wang, Zhuo Cheng
http://arxiv.org/abs/1902.02300v1
• [cs.LG]Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning
Sagar Sharma, Keke Chen
http://arxiv.org/abs/1902.01878v1
• [cs.LG]Distilling Policy Distillation
Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
http://arxiv.org/abs/1902.02186v1
• [cs.LG]Equal Opportunity in Online Classification with Partial Feedback
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
http://arxiv.org/abs/1902.02242v1
• [cs.LG]Exponentiated Gradient Meets Gradient Descent
Udaya Ghai, Elad Hazan, Yoram Singer
http://arxiv.org/abs/1902.01903v1
• [cs.LG]Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation
Shaofeng Zou, Tengyu Xu, Yingbin Liang
http://arxiv.org/abs/1902.02234v1
• [cs.LG]Fooling Neural Network Interpretations via Adversarial Model Manipulation
Juyeon Heo, Sunghwan Joo, Taesup Moon
http://arxiv.org/abs/1902.02041v1
• [cs.LG]Generative Image Translation for Data Augmentation of Bone Lesion Pathology
Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
http://arxiv.org/abs/1902.02248v1
• [cs.LG]Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples?
Nicholas Carlini
http://arxiv.org/abs/1902.02322v1
• [cs.LG]Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models
Max F. Frenzel, Bogdan Teleaga, Asahi Ushio
http://arxiv.org/abs/1902.02113v1
• [cs.LG]Linear Inequality Constraints for Neural Network Activations
Thomas Frerix, Matthias Nießner, Daniel Cremers
http://arxiv.org/abs/1902.01785v2
• [cs.LG]Meta-Amortized Variational Inference and Learning
Kristy Choi, Mike Wu, Noah Goodman, Stefano Ermon
http://arxiv.org/abs/1902.01950v1
• [cs.LG]Mol-CycleGAN - a generative model for molecular optimization
Łukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michał Warchoł
http://arxiv.org/abs/1902.02119v1
• [cs.LG]Neural Fictitious Self-Play on ELF Mini-RTS
Keigo Kawamura, Yoshimasa Tsuruoka
http://arxiv.org/abs/1902.02004v1
• [cs.LG]Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N Balasubramanian
http://arxiv.org/abs/1902.02302v1
• [cs.LG]Permutation Invariant Likelihoods and Equivariant Transformations
Chris Bender, Juan Jose Garcia, Kevin O'Connor, Junier Oliva
http://arxiv.org/abs/1902.01967v1
• [cs.LG]Quantum Sparse Support Vector Machines
Tomasz Arodz, Seyran Saeedi
http://arxiv.org/abs/1902.01879v1
• [cs.LG]Regularizing Generative Models Using Knowledge of Feature Dependence
Naoya Takeishi, Yoshinobu Kawahara
http://arxiv.org/abs/1902.02068v1
• [cs.LG]Robust Matrix Completion State Estimation in Distribution Systems
Bo Liu, Hongyu Wu, Yingchen Zhang, Rui Yang, Andrey Bernstein
http://arxiv.org/abs/1902.02009v1
• [cs.LG]Robust One-Class Kernel Spectral Regression
Shervin Rahimzadeh Arashloo, Josef Kittler
http://arxiv.org/abs/1902.02208v1
• [cs.LG]Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization
Eldad Meller, Alexander Finkelstein, Uri Almog, Mark Grobman
http://arxiv.org/abs/1902.01917v1
• [cs.LG]Semi-Supervised Learning by Label Gradient Alignment
Jacob Jackson, John Schulman
http://arxiv.org/abs/1902.02336v1
• [cs.LG]Separating value functions across time-scales
Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau
http://arxiv.org/abs/1902.01883v1
• [cs.LG]Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks
Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi
http://arxiv.org/abs/1902.01870v1
• [cs.LG]Transfer Learning From Sound Representations For Anger Detection in Speech
Mohamed Ezzeldin A. ElShaer, Scott Wisdom, Taniya Mishra
http://arxiv.org/abs/1902.02120v1
• [cs.LG]TzK: Flow-Based Conditional Generative Model
Micha Livne, David Fleet
http://arxiv.org/abs/1902.01893v1
• [cs.LG]Unsupervised Polyglot Text To Speech
Eliya Nachmani, Lior Wolf
http://arxiv.org/abs/1902.02263v1
• [cs.MA]CESMA: Centralized Expert Supervises Multi-Agents
Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary Hewer, Stanley Osher
http://arxiv.org/abs/1902.02311v1
• [cs.NE]Widely Linear Kernels for Complex-Valued Kernel Activation Functions
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
http://arxiv.org/abs/1902.02085v1
• [cs.RO]Adaptive Stress Testing for Autonomous Vehicles
Mark Koren, Saud Alsaif, Ritchie Lee, Mykel J. Kochenderfer
http://arxiv.org/abs/1902.01909v1
• [cs.RO]CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association
Kaveh Fathian, Kasra Khosoussi, Parker Lusk, Yulun Tian, Jonathan P. How
http://arxiv.org/abs/1902.02256v1
• [cs.RO]Motion Planning on an Asteroid Surface with Irregular Gravity Fields
Himangshu Kalita, Jekan Thangavelautham
http://arxiv.org/abs/1902.02065v1
• [cs.SD]Polyphonic Music Composition with LSTM Neural Networks and Reinforcement Learning
Harish Kumar, Balaraman Ravindran
http://arxiv.org/abs/1902.01973v1
• [cs.SI]Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts
Hamidreza Alvari, Paulo Shakarian
http://arxiv.org/abs/1902.01970v1
• [eess.IV]Content-based image retrieval system with most relevant features among wavelet and color features
Abdolreza Rashno, Elyas Rashno
http://arxiv.org/abs/1902.02059v1
• [eess.IV]Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks
Arjun D. Desai, Garry E. Gold, Brian A. Hargreaves, Akshay S. Chaudhari
http://arxiv.org/abs/1902.01977v1
• [eess.SP]State Estimation over Worst-Case Erasure and Symmetric Channels with Memory
Amir Saberi, Farhad Farokhi, Girish N. Nair
http://arxiv.org/abs/1902.00726v1
• [math.OC]Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
Ehsan Kazemi, Liqiang Wang
http://arxiv.org/abs/1902.01856v1
• [math.OC]Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions
Anwesh Reddy Gottu Mukkula, Radoslav Paulen
http://arxiv.org/abs/1902.00931v1
• [math.ST]Asymptotic Consistency of Rényi-Approximate Posteriors
Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa
http://arxiv.org/abs/1902.01902v1
• [math.ST]Fast Mean Estimation with Sub-Gaussian Rates
Yeshwanth Cherapanamjeri, Nicolas Flammarion, Peter L. Bartlett
http://arxiv.org/abs/1902.01998v1
• [math.ST]Joint distribution of a random sample and an order statistic: A new approach with an application in reliability analysis
Ismihan Bairamov
http://arxiv.org/abs/1902.02117v1
• [math.ST]Robust learning and complexity dependent bounds for regularized problems
Geoffrey Chinot
http://arxiv.org/abs/1902.02238v1
• [math.ST]Testing Markov Chains without Hitting
Yeshwanth Cherapanamjeri, Peter L. Bartlett
http://arxiv.org/abs/1902.01999v1
• [math.ST]Uniform concentration and symmetrization for weak interactions
Andreas Maurer, Massimiliano Pontil
http://arxiv.org/abs/1902.01911v1
• [physics.med-ph]Detection of perfusion ROI as a quality control in perfusion analysis
Svitlana Alkhimova
http://arxiv.org/abs/1902.01855v1
• [q-bio.QM]Restriction enzymes use a 24 dimensional coding space to recognize 6 base long DNA sequences
Thomas D. Schneider, Vishnu Jejjala
http://arxiv.org/abs/1902.02016v1
• [q-bio.QM]The Parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems
DJ Albers, M Levine, L Mamykina, G Hripcsak
http://arxiv.org/abs/1902.01978v1
• [stat.AP]Heavy User Effect in A/B Testing: Identification and Estimation
Yu Wang, Somit Gupta, Jiannan Lu, Ali Mahmoudzadeh, Sophia Liu
http://arxiv.org/abs/1902.02021v1
• [stat.AP]Modelling the effect of training on performance in road cycling: estimation of the Banister model parameters using field data
Phil Scarf, Mansour Shrahili, Naif Alotaibi, Simon Jobson, Louis Passfield
http://arxiv.org/abs/1902.02061v1
• [stat.AP]Playing Fast Not Loose: Evaluating team-level pace of play in ice hockey using spatio-temporal possession data
David Yu, Christopher Boucher, Luke Bornn, Mehrsan Javan
http://arxiv.org/abs/1902.02020v1
• [stat.AP]The relative efficiency of time-to-progression and continuous measures of cognition in pre-symptomatic Alzheimer's
Dan Li, Samuel Iddi, Paul S. Aisen, Wesley K. Thompson, Michael C. Donohue
http://arxiv.org/abs/1902.02026v1
• [stat.AP]Using statistical control charts to monitor duration-based performance of project
Nooshin Yousefi, Ahmad Sobhani, Leila Moslemi Naeni, Kenneth R. Currie
http://arxiv.org/abs/1902.02270v1
• [stat.ML]Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
Nicholas Frosst, Nicolas Papernot, Geoffrey Hinton
http://arxiv.org/abs/1902.01889v1
• [stat.ML]Are All Layers Created Equal?
Chiyuan Zhang, Samy Bengio, Yoram Singer
http://arxiv.org/abs/1902.01996v1
• [stat.ML]BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
http://arxiv.org/abs/1902.02102v1
• [stat.ML]Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
http://arxiv.org/abs/1902.02037v1
• [stat.ML]CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
http://arxiv.org/abs/1902.01981v1
• [stat.ML]Dynamic Pricing for Airline Ancillaries with Customer Context
Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi
http://arxiv.org/abs/1902.02236v1
• [stat.ML]Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing
Ivan Makhotin, Dmitry Koroteev, Evgeny Burnaev
http://arxiv.org/abs/1902.02223v1
• [stat.ML]Un modèle Bayésien de co-clustering de données mixtes
Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot
http://arxiv.org/abs/1902.02056v1
• [stat.OT]CMS Sematrix: A Tool to Aid the Development of Clinical Quality Measures (CQMs)
Michael A. Schwemmer, Po-Hsu Chen, Mithun Balakrishna, Amy Leibrand, Aaron Leonard, Nancy J. McMillan, Jeffrey J. Geppert
http://arxiv.org/abs/1902.01918v1
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