今日学术视野(2018.12.22)

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.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SE - 软件工程
eess.SP - 信号处理
math.CO - 组合数学
math.OC - 优化与控制
math.ST - 统计理论
physics.data-an - 数据分析、 统计和概率
q-bio.PE - 人口与发展
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

• [cs.AI]Iterated Belief Revision Under Resource Constraints: Logic as Geometry
• [cs.AI]Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data
• [cs.AI]Splitting Epistemic Logic Programs
• [cs.CL]A Survey of Hierarchy Identification in Social Networks
• [cs.CL]Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog
• [cs.CL]Generating lyrics with variational autoencoder and multi-modal artist embeddings
• [cs.CL]How Much Does Tokenization Affect in Neural Machine Translation?
• [cs.CL]RNNs Implicitly Implement Tensor Product Representations
• [cs.CL]What are the biases in my word embedding?
• [cs.CV]A comparative study of texture attributes for characterizing subsurface structures in seismic volumes
• [cs.CV]Automated detection of block falls in the north polar region of Mars
• [cs.CV]Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review
• [cs.CV]D3D: Distilled 3D Networks for Video Action Recognition
• [cs.CV]DAC: Data-free Automatic Acceleration of Convolutional Networks
• [cs.CV]Deep Metric Transfer for Label Propagation with Limited Annotated Data
• [cs.CV]Deep Paper Gestalt
• [cs.CV]DeepFakes: a New Threat to Face Recognition? Assessment and Detection
• [cs.CV]Detecting GAN-generated Imagery using Color Cues
• [cs.CV]Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
• [cs.CV]Rain Removal By Image Quasi-Sparsity Priors
• [cs.CV]RankGAN: A Maximum Margin Ranking GAN for Generating Faces
• [cs.CV]Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion
• [cs.CV]SFA: Small Faces Attention Face Detector
• [cs.CV]SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks
• [cs.CV]Sequential Attention GAN for Interactive Image Editing via Dialogue
• [cs.CV]Steerable PCA
• [cs.CV]Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective
• [cs.CV]Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks
• [cs.CV]Unconstrained Iris Segmentation using Convolutional Neural Networks
• [cs.CV]Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
• [cs.CV]nocaps: novel object captioning at scale
• [cs.CY]Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program
• [cs.CY]DeepWiTraffic: Low Cost WiFi-Based Traffic Monitoring System Using Deep Learning
• [cs.DC]Atomic Appends: Selling Cars and Coordinating Armies with Multiple Distributed Ledgers
• [cs.DC]Energy-aware virtual machine selection method for cloud data center resource allocation
• [cs.DC]MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations
• [cs.DC]cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU
• [cs.DL]Intermediacy of publications
• [cs.DS]A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms
• [cs.DS]Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications
• [cs.DS]The Query Complexity of a Permutation-Based Variant of Mastermind
• [cs.IR]Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics
• [cs.IR]Factorization Machines for Data with Implicit Feedback
• [cs.IR]Intertemporal Connections Between Query Suggestions and Search Engine Results for Politics Related Queries
• [cs.IR]Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences
• [cs.IT]Efficient Error-Correcting Codes in the Short Blocklength Regime
• [cs.IT]Not Just Age but Age and Quality of Information
• [cs.IT]On the Role of Age-of-Information in Internet of Things
• [cs.LG]A Novel Large-scale Ordinal Regression Model
• [cs.LG]Adversarial Signal Denoising with encoder-decoder networks
• [cs.LG]Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
• [cs.LG]Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
• [cs.LG]Efficient logic architecture in training gradient boosting decision tree for high-performance and edge computing
• [cs.LG]Fast Adjustable Threshold For Uniform Neural Network Quantization
• [cs.LG]Finite-time optimality of Bayesian predictors
• [cs.LG]Forward Neural Network for Time Series Anomaly Detection
• [cs.LG]Graph Neural Networks: A Review of Methods and Applications
• [cs.LG]Interactive Naming for Explaining Deep Neural Networks: A Formative Study
• [cs.LG]Multisource and Multitemporal Data Fusion in Remote Sensing
• [cs.LG]NeuralWarp: Time-Series Similarity with Warping Networks
• [cs.LG]One-Class Feature Learning Using Intra-Class Splitting
• [cs.LG]PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
• [cs.LG]Representation Learning for Spatial Graphs
• [cs.LG]Statistical learning of geometric characteristics of wireless networks
• [cs.LG]TD-Regularized Actor-Critic Methods
• [cs.NE]Towards an Evolvable Cancer Treatment Simulator
• [cs.RO]Environment Perception Framework Fusing Multi-Object Tracking, Dynamic Occupancy Grid Maps and Digital Maps
• [cs.RO]Extrinisic Calibration of a Camera-Arm System Through Rotation Identification
• [cs.RO]FBG-Based Position Estimation of Highly Deformable Continuum Manipulators: Model-Dependent vs. Data-Driven Approaches
• [cs.RO]MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
• [cs.RO]Multi-Object Tracking with Interacting Vehicles and Road Map Information
• [cs.RO]SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints
• [cs.RO]Specializing Underdetermined Action Descriptions Through Plan Projection
• [cs.RO]Towards Plan Transformations for Real-World Pick and Place Tasks
• [cs.SE]Safety Practice and its Practitioners: Exploring a Diverse Profession
• [eess.SP]LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples
• [math.CO]Intersections between the norm-trace curve and some low degree curves
• [math.OC]Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization
• [math.ST]A General Theory for Large-Scale Curve Time Series via Functional Stability Measure
• [math.ST]On the positivity and magnitudes of Bayesian quadrature weights
• [math.ST]Optimal covariance matrix estimation for high-dimensional noise in high-frequency data
• [math.ST]Testing multivariate uniformity based on random geometric graphs
• [math.ST]The prediction distribution of a GARCH(1,1) process
• [physics.data-an]Bayesian parameter estimation of miss-specified models
• [q-bio.PE]On the variance of internode distance under the multispecies coalescent
• [quant-ph]Fundamental limits on the capacities of bipartite quantum interactions
• [quant-ph]Optimizing Quantum Error Correction Codes with Reinforcement Learning
• [quant-ph]Quantum computing and the brain: quantum nets, dessins d'enfants and neural networks
• [stat.AP]A Gravity Model Analysis of Irish Merchandise Goods Exports under Brexit
• [stat.AP]Block clustering of Binary Data with Gaussian Co-variables
• [stat.ME]Discussion on "Model Confidence Bounds for Variable Selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin
• [stat.ME]Generalization error for decision problems
• [stat.ME]Invariance, Causality and Robustness
• [stat.ME]Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score
• [stat.ML]A Bayesian Additive Model for Understanding Public Transport Usage in Special Events
• [stat.ML]A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network
• [stat.ML]Deep ToC: A New Method for Estimating the Solutions of PDEs
• [stat.ML]Fast Approximate Geodesics for Deep Generative Models
• [stat.ML]Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data
• [stat.ML]Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
• [stat.ML]Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation

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• [cs.AI]Iterated Belief Revision Under Resource Constraints: Logic as Geometry
Dan P. Guralnik, Daniel E. Koditschek
http://arxiv.org/abs/1812.08313v1

• [cs.AI]Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data
Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron
http://arxiv.org/abs/1812.08390v1

• [cs.AI]Splitting Epistemic Logic Programs
Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro
http://arxiv.org/abs/1812.08763v1

• [cs.CL]A Survey of Hierarchy Identification in Social Networks
Denys Katerenchuk
http://arxiv.org/abs/1812.08425v1

• [cs.CL]Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog
Shachi H Kumar, Eda Okur, Saurav Sahay, Juan Jose Alvarado Leanos, Jonathan Huang, Lama Nachman
http://arxiv.org/abs/1812.08407v1

• [cs.CL]Generating lyrics with variational autoencoder and multi-modal artist embeddings
Olga Vechtomova, Hareesh Bahuleyan, Amirpasha Ghabussi, Vineet John
http://arxiv.org/abs/1812.08318v1

• [cs.CL]How Much Does Tokenization Affect in Neural Machine Translation?
Miguel Domingo, Mercedes Garcıa-Martınez, Alexandre Helle, Francisco Casacuberta
http://arxiv.org/abs/1812.08621v1

• [cs.CL]RNNs Implicitly Implement Tensor Product Representations
R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
http://arxiv.org/abs/1812.08718v1

• [cs.CL]What are the biases in my word embedding?
Nathaniel Swinger, Maria De-Arteaga, Neil Thomas Heffernan IV, Mark DM Leiserson, Adam Tauman Kalai
http://arxiv.org/abs/1812.08769v1

• [cs.CV]A comparative study of texture attributes for characterizing subsurface structures in seismic volumes
Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Yuting Hu, Zhen Wang, Motaz Alfarraj, Ghassan AlRegib, Asjad Amin, Mohamed Deriche, Suhail Al-Dharrab, Haibin Di
http://arxiv.org/abs/1812.08263v1

• [cs.CV]Automated detection of block falls in the north polar region of Mars
L. Fanara, K. Gwinner, E. Hauber, J. Oberst
http://arxiv.org/abs/1812.08624v1

• [cs.CV]Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review
Juan J. Cerrolaza, Mirella Lopez-Picazo, Ludovic Humbert, Yoshinobu Sato, Daniel Rueckert, Miguel Angel Gonzalez Ballester, Marius George Linguraru
http://arxiv.org/abs/1812.08577v1

• [cs.CV]D3D: Distilled 3D Networks for Video Action Recognition
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar
http://arxiv.org/abs/1812.08249v1

• [cs.CV]DAC: Data-free Automatic Acceleration of Convolutional Networks
Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi
http://arxiv.org/abs/1812.08374v1

• [cs.CV]Deep Metric Transfer for Label Propagation with Limited Annotated Data
Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
http://arxiv.org/abs/1812.08781v1

• [cs.CV]Deep Paper Gestalt
Jia-Bin Huang
http://arxiv.org/abs/1812.08775v1

• [cs.CV]DeepFakes: a New Threat to Face Recognition? Assessment and Detection
Pavel Korshunov, Sebastien Marcel
http://arxiv.org/abs/1812.08685v1

• [cs.CV]Detecting GAN-generated Imagery using Color Cues
Scott McCloskey, Michael Albright
http://arxiv.org/abs/1812.08247v1

• [cs.CV]Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
Tian-Zhu Xiang, Gui-Song Xia, Liangpei Zhang
http://arxiv.org/abs/1812.07770v2

• [cs.CV]Rain Removal By Image Quasi-Sparsity Priors
Yinglong Wang, Shuaicheng Liu, Chen Chen, Dehua Xie, Bing Zeng
http://arxiv.org/abs/1812.08348v1

• [cs.CV]RankGAN: A Maximum Margin Ranking GAN for Generating Faces
Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
http://arxiv.org/abs/1812.08196v1

• [cs.CV]Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion
Alex Zihao Zhu, Wenxin Liu, Ziyun Wang, Vijay Kumar, Kostas Daniilidis
http://arxiv.org/abs/1812.08351v1

• [cs.CV]SFA: Small Faces Attention Face Detector
Shi Luo, Xiongfei Li, Rui Zhu, Xiaoli Zhang
http://arxiv.org/abs/1812.08402v1

• [cs.CV]SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks
Mi Sun Park, Xiaofan Xu, Cormac Brick
http://arxiv.org/abs/1812.08301v1

• [cs.CV]Sequential Attention GAN for Interactive Image Editing via Dialogue
Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao
http://arxiv.org/abs/1812.08352v1

• [cs.CV]Steerable PCA
Zhizhen Zhao, Lydia T. Liu, Amit Singer
http://arxiv.org/abs/1812.08789v1

• [cs.CV]Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective
G. AlRegib, M. Deriche, Z. Long, H. Di, Z. Wang, Y. Alaudah, M. Shafiq, M. Alfarraj
http://arxiv.org/abs/1812.08756v1

• [cs.CV]Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks
Ye Wang, Yueru Chen, Jongmoo Choi, C. -C. Jay Kuo
http://arxiv.org/abs/1812.08333v1

• [cs.CV]Unconstrained Iris Segmentation using Convolutional Neural Networks
Sohaib Ahmad, Benjamin Fuller
http://arxiv.org/abs/1812.08245v1

• [cs.CV]Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu
http://arxiv.org/abs/1812.08442v1

• [cs.CV]nocaps: novel object captioning at scale
Harsh Agrawal, Karan Desai, Xinlei Chen, Rishabh Jain, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson
http://arxiv.org/abs/1812.08658v1

• [cs.CY]Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program
Xi Chen, Gregory S. Gutmann Joe Bungo
http://arxiv.org/abs/1812.08671v1

• [cs.CY]DeepWiTraffic: Low Cost WiFi-Based Traffic Monitoring System Using Deep Learning
Myounggyu Won, Sayan Sahu, Kyung-Joon Park
http://arxiv.org/abs/1812.08208v1

• [cs.DC]Atomic Appends: Selling Cars and Coordinating Armies with Multiple Distributed Ledgers
Antonio Fernandez Anta, Chryssis Georgiou, Nicolas Nicolaou
http://arxiv.org/abs/1812.08446v1

• [cs.DC]Energy-aware virtual machine selection method for cloud data center resource allocation
Nasrin Akhter, Mohamed Othman, Ranesh Kumar Naha
http://arxiv.org/abs/1812.08375v1

• [cs.DC]MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations
Bangtian Liu, Kazem Cheshmi, Saeed Soori, Maryam Mehri Dehnavi
http://arxiv.org/abs/1812.07152v2

• [cs.DC]cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU
Behrooz Zare, Foad Jafarinejad, Matin Hashemi, Saber Salehkaleybar
http://arxiv.org/abs/1812.08491v1

• [cs.DL]Intermediacy of publications
Lovro Šubelj, Ludo Waltman, Vincent Traag, Nees Jan van Eck
http://arxiv.org/abs/1812.08259v1

• [cs.DS]A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms
Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh
http://arxiv.org/abs/1812.08723v1

• [cs.DS]Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications
Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano
http://arxiv.org/abs/1812.08712v1

• [cs.DS]The Query Complexity of a Permutation-Based Variant of Mastermind
Peyman Afshani, Manindra Agrawal, Benjamin Doerr, Carola Doerr, Kasper Green Larsen, Kurt Mehlhorn
http://arxiv.org/abs/1812.08480v1

• [cs.IR]Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics
Supun Abeysinghe, Isura Manchanayake, Chamod Samarajeewa, Prabod Rathnayaka, Malaka J. Walpola, Rashmika Nawaratne, Tharindu Bandaragoda, Damminda Alahakoon
http://arxiv.org/abs/1812.08330v1

• [cs.IR]Factorization Machines for Data with Implicit Feedback
Babak Loni, Martha Larson, Alan Hanjalic
http://arxiv.org/abs/1812.08254v1

• [cs.IR]Intertemporal Connections Between Query Suggestions and Search Engine Results for Politics Related Queries
Malte Bonart, Philipp Schaer
http://arxiv.org/abs/1812.08585v1

• [cs.IR]Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences
Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Ru-xin Zhao, Seyedvalyallah Ayobi, Peng Hu, Isma Masood
http://arxiv.org/abs/1812.08304v1

• [cs.IT]Efficient Error-Correcting Codes in the Short Blocklength Regime
Mustafa Cemil Coşkun, Giuseppe Durisi, Thomas Jerkovits, Gianluigi Liva, William Ryan, Brian Stein, Fabian Steiner
http://arxiv.org/abs/1812.08562v1

• [cs.IT]Not Just Age but Age and Quality of Information
Nived Rajaraman, Rahul Vaze, Goonwanth Reddy
http://arxiv.org/abs/1812.08617v1

• [cs.IT]On the Role of Age-of-Information in Internet of Things
Mohamed A. Abd-Elmagid, Nikolaos Pappas, Harpreet S. Dhillon
http://arxiv.org/abs/1812.08286v1

• [cs.LG]A Novel Large-scale Ordinal Regression Model
Yong Shi, Huadong Wang, Xin Shen, Lingfeng Niu
http://arxiv.org/abs/1812.08237v1

• [cs.LG]Adversarial Signal Denoising with encoder-decoder networks
Leslie Casas, Nassir Navab, Vasileios Belagiannis
http://arxiv.org/abs/1812.08555v1

• [cs.LG]Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
Jacob Whitehill
http://arxiv.org/abs/1812.08255v1

• [cs.LG]Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
http://arxiv.org/abs/1812.08305v1

• [cs.LG]Efficient logic architecture in training gradient boosting decision tree for high-performance and edge computing
Takuya Tanaka, Ryosuke Kasahara, Daishiro Kobayashi
http://arxiv.org/abs/1812.08295v1

• [cs.LG]Fast Adjustable Threshold For Uniform Neural Network Quantization
Alexander Goncharenko, Andrey Denisov, Sergey Alyamkin, Evgeny Terentev
http://arxiv.org/abs/1812.07872v2

• [cs.LG]Finite-time optimality of Bayesian predictors
Daniil Ryabko
http://arxiv.org/abs/1812.08292v1

• [cs.LG]Forward Neural Network for Time Series Anomaly Detection
Zhang Rong, Dong Shandong, Nie Xin, Xiao Shiguang
http://arxiv.org/abs/1812.08389v1

• [cs.LG]Graph Neural Networks: A Review of Methods and Applications
Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun
http://arxiv.org/abs/1812.08434v1

• [cs.LG]Interactive Naming for Explaining Deep Neural Networks: A Formative Study
Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli
http://arxiv.org/abs/1812.07150v2

• [cs.LG]Multisource and Multitemporal Data Fusion in Remote Sensing
Pedram Ghamisi, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Hofle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson, Jon Atli Benediktsson
http://arxiv.org/abs/1812.08287v1

• [cs.LG]NeuralWarp: Time-Series Similarity with Warping Networks
Josif Grabocka, Lars Schmidt-Thieme
http://arxiv.org/abs/1812.08306v1

• [cs.LG]One-Class Feature Learning Using Intra-Class Splitting
Patrick Schlachter, Yiwen Liao, Bin Yang
http://arxiv.org/abs/1812.08468v1

• [cs.LG]PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan Oseledets, Luca Daniel
http://arxiv.org/abs/1812.08329v1

• [cs.LG]Representation Learning for Spatial Graphs
Zheng Wang, Ce Ju, Gao Cong, Cheng Long
http://arxiv.org/abs/1812.06668v3

• [cs.LG]Statistical learning of geometric characteristics of wireless networks
Antoine Brochard, Bartłomiej Błaszczyszyn, Stéphane Mallat, Sixin Zhang
http://arxiv.org/abs/1812.08265v1

• [cs.LG]TD-Regularized Actor-Critic Methods
Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan
http://arxiv.org/abs/1812.08288v1

• [cs.NE]Towards an Evolvable Cancer Treatment Simulator
Richard J. Preen, Larry Bull, Andrew Adamatzky
http://arxiv.org/abs/1812.08252v1

• [cs.RO]Environment Perception Framework Fusing Multi-Object Tracking, Dynamic Occupancy Grid Maps and Digital Maps
Fabian Gies, Andreas Danzer, Klaus Dietmayer
http://arxiv.org/abs/1812.08449v1

• [cs.RO]Extrinisic Calibration of a Camera-Arm System Through Rotation Identification
Steve McGuire, Christoffer Heckman, Daniel Szafir, Simon Julier, Nisar Ahmed
http://arxiv.org/abs/1812.08280v1

• [cs.RO]FBG-Based Position Estimation of Highly Deformable Continuum Manipulators: Model-Dependent vs. Data-Driven Approaches
Shahriar Sefati, Rachel Hegeman, Farshid Alambeigi, Iulian Iordachita, Mehran Armand
http://arxiv.org/abs/1812.08629v1

• [cs.RO]MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew Davison, Stefan Leutenegger
http://arxiv.org/abs/1812.07976v2

• [cs.RO]Multi-Object Tracking with Interacting Vehicles and Road Map Information
Andreas Danzer, Fabian Gies, Klaus Dietmayer
http://arxiv.org/abs/1812.08448v1

• [cs.RO]SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints
Vignesh Prasad, Brojeshwar Bhowmick
http://arxiv.org/abs/1812.08370v1

• [cs.RO]Specializing Underdetermined Action Descriptions Through Plan Projection
Gayane Kazhoyan, Michael Beetz
http://arxiv.org/abs/1812.08224v1

• [cs.RO]Towards Plan Transformations for Real-World Pick and Place Tasks
Gayane Kazhoyan, Arthur Niedzwiecki, Michael Beetz
http://arxiv.org/abs/1812.08226v1

• [cs.SE]Safety Practice and its Practitioners: Exploring a Diverse Profession
Mario Gleirscher, Anne Nyokabi
http://arxiv.org/abs/1812.08452v1

• [eess.SP]LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples
Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief
http://arxiv.org/abs/1812.07998v1

• [math.CO]Intersections between the norm-trace curve and some low degree curves
Matteo Bonini, Massimiliano Sala
http://arxiv.org/abs/1812.08590v1

• [math.OC]Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization
Xuefeng Gao, Mert Gurbuzbalaban, Lingjiong Zhu
http://arxiv.org/abs/1812.07725v1

• [math.ST]A General Theory for Large-Scale Curve Time Series via Functional Stability Measure
Shaojun Guo, Xinghao Qiao
http://arxiv.org/abs/1812.07619v2

• [math.ST]On the positivity and magnitudes of Bayesian quadrature weights
Toni Karvonen, Motonobu Kanagawa, Simo Särkkä
http://arxiv.org/abs/1812.08509v1

• [math.ST]Optimal covariance matrix estimation for high-dimensional noise in high-frequency data
Jinyuan Chang, Cheng Liu, Cheng Yong Tang
http://arxiv.org/abs/1812.08217v1

• [math.ST]Testing multivariate uniformity based on random geometric graphs
Bruno Ebner, Franz Nestmann, Matthias Schulte
http://arxiv.org/abs/1812.08638v1

• [math.ST]The prediction distribution of a GARCH(1,1) process
Karim M. Abadir, Alessandra Luati, Paolo Paruolo
http://arxiv.org/abs/1812.08409v1

• [physics.data-an]Bayesian parameter estimation of miss-specified models
Johannes Oberpriller, T. A. Enßlin
http://arxiv.org/abs/1812.08194v1

• [q-bio.PE]On the variance of internode distance under the multispecies coalescent
Sebastien Roch
http://arxiv.org/abs/1812.08357v1

• [quant-ph]Fundamental limits on the capacities of bipartite quantum interactions
Stefan Bäuml, Siddhartha Das, Mark M. Wilde
http://arxiv.org/abs/1812.08223v1

• [quant-ph]Optimizing Quantum Error Correction Codes with Reinforcement Learning
Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko, Hans J. Briegel, Nicolai Friis
http://arxiv.org/abs/1812.08451v1

• [quant-ph]Quantum computing and the brain: quantum nets, dessins d'enfants and neural networks
Torsten Asselmeyer-Maluga
http://arxiv.org/abs/1812.08338v1

• [stat.AP]A Gravity Model Analysis of Irish Merchandise Goods Exports under Brexit
Gerard Keogh
http://arxiv.org/abs/1812.08591v1

• [stat.AP]Block clustering of Binary Data with Gaussian Co-variables
Serge Iovleff, Seydou Syllla, Cheikh Loucoubar
http://arxiv.org/abs/1812.08520v1

• [stat.ME]Discussion on "Model Confidence Bounds for Variable Selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin
Hannes Leeb, Benedikt M. Pötscher, Danijel Kivaranovic
http://arxiv.org/abs/1812.07955v2

• [stat.ME]Generalization error for decision problems
Eric B. Laber, Min Qian
http://arxiv.org/abs/1812.08696v1

• [stat.ME]Invariance, Causality and Robustness
Peter Bühlmann
http://arxiv.org/abs/1812.08233v1

• [stat.ME]Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score
Yang Ning, Sida Peng, Kosuke Imai
http://arxiv.org/abs/1812.08683v1

• [stat.ML]A Bayesian Additive Model for Understanding Public Transport Usage in Special Events
Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira
http://arxiv.org/abs/1812.08755v1

• [stat.ML]A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network
Xi Chen, Jin Xie, Qingcong Yuan
http://arxiv.org/abs/1812.08674v1

• [stat.ML]Deep ToC: A New Method for Estimating the Solutions of PDEs
Carl Leake
http://arxiv.org/abs/1812.08625v1

• [stat.ML]Fast Approximate Geodesics for Deep Generative Models
Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt
http://arxiv.org/abs/1812.08284v1

• [stat.ML]Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data
Filipe Rodrigues, Francisco C. Pereira
http://arxiv.org/abs/1812.08733v1

• [stat.ML]Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Éric Moulines
http://arxiv.org/abs/1812.08398v1

• [stat.ML]Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation
Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira
http://arxiv.org/abs/1812.08739v1