cond-mat.dis-nn - 无序系统与神经网络

    cs.AI - 人工智能 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.HC - 人机接口 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.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 math.CT - 范畴论 math.OC - 优化与控制 math.ST - 统计理论 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Minimal model of permutation symmetry in unsupervised learning
    • [cs.AI]Anytime Integrated Task and Motion Policies for Stochastic Environments
    • [cs.AI]Efficiently Checking Actual Causality with SAT Solving
    • [cs.AI]Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
    • [cs.AI]Online Causal Structure Learning in the Presence of Latent Variables
    • [cs.AI]Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud
    • [cs.AI]Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
    • [cs.CL]A self-attention based deep learning method for lesion attribute detection from CT reports
    • [cs.CL]Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
    • [cs.CL]Don’t Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
    • [cs.CL]English Broadcast News Speech Recognition by Humans and Machines
    • [cs.CL]Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage
    • [cs.CL]Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
    • [cs.CL]Very Deep Self-Attention Networks for End-to-End Speech Recognition
    • [cs.CR]Agent-Based Simulations of Blockchain protocols illustrated via Kadena’s Chainweb
    • [cs.CR]An Argumentation-Based Approach to Assist in the Investigation and Attribution of Cyber-Attacks
    • [cs.CV]A Study on Action Detection in the Wild
    • [cs.CV]A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
    • [cs.CV]Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction
    • [cs.CV]Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
    • [cs.CV]Comparative evaluation of 2D feature correspondence selection algorithms
    • [cs.CV]Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
    • [cs.CV]Cross-Modal Message Passing for Two-stream Fusion
    • [cs.CV]Curvature: A signature for Action Recognition in Video Sequences
    • [cs.CV]Deep Learning Based Robot for Automatically Picking up Garbage on the Grass
    • [cs.CV]Deep Learning-based Face Pose Recovery
    • [cs.CV]Detecting Reflections by Combining Semantic and Instance Segmentation
    • [cs.CV]DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
    • [cs.CV]Early Action Prediction with Generative Adversarial Networks
    • [cs.CV]Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation
    • [cs.CV]GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks
    • [cs.CV]Handwritten Chinese Font Generation with Collaborative Stroke Refinement
    • [cs.CV]Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
    • [cs.CV]Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
    • [cs.CV]Learning to Find Common Objects Across Image Collections
    • [cs.CV]Memory-Augmented Temporal Dynamic Learning for Action Recognition
    • [cs.CV]Non-Rigid Structure-From-Motion by Rank-One Basis Shapes
    • [cs.CV]Object Contour and Edge Detection with RefineContourNet
    • [cs.CV]PR Product: A Substitute for Inner Product in Neural Networks
    • [cs.CV]PYRO-NN: Python Reconstruction Operators in Neural Networks
    • [cs.CV]Segmentation is All You Need
    • [cs.CV]Structured Prediction using cGANs with Fusion Discriminator
    • [cs.CV]SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction
    • [cs.CV]Surprising Effectiveness of Few-Image Unsupervised Feature Learning
    • [cs.CV]The Level Weighted Structural Similarity Loss: A Step Away from the MSE
    • [cs.CV]The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
    • [cs.CV]Using cameras for precise measurement of two-dimensional plant features
    • [cs.CV]Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People
    • [cs.CV]Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People
    • [cs.CY]Different Stages of Wearable Health Tracking Adoption & Abandonment: A Survey Study and Analysis
    • [cs.CY]On Social Machines for Algorithmic Regulation
    • [cs.CY]The Virtual Machinery Workshop: an Immersive 360 degree Web-Based Vocational Education Learning
    • [cs.DB]Learning Restricted Regular Expressions with Interleaving
    • [cs.DB]Supporting Video Queries on Zero-Streaming Cameras
    • [cs.DC]Is Stellar As Secure As You Think?
    • [cs.DC]Please, do not decentralize the Internet with (permissionless) blockchains!
    • [cs.GR]Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
    • [cs.HC]Coevo: a collaborative design platform with artificial agents
    • [cs.HC]You can’t see what you can’t see: Experimental evidence for how much relevant information may be missed due to Google’s Web search personalisation
    • [cs.IR]Collaborative Filtering via High-Dimensional Regression
    • [cs.IR]Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets
    • [cs.IR]Learning Image Information for eCommerce Queries
    • [cs.IR]On the Effect of Low-Frequency Terms on Neural-IR Models
    • [cs.IR]Sentiment Classification using N-gram IDF and Automated Machine Learning
    • [cs.IT]A Low-Complexity Antenna-Layout-Aware Spatial Covariance Matrix Estimation Method
    • [cs.IT]Age-Optimal Transmission of Rateless Codes in an Erasure Channel
    • [cs.IT]Design of Protograph Codes for Additive White Symmetric Alpha-Stable Noise Channels
    • [cs.IT]Gradient Coding Based on Block Designs for Mitigating Adversarial Stragglers
    • [cs.IT]Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation
    • [cs.IT]Information geometry and asymptotic geodesics on the space of normal distributions
    • [cs.IT]On the 2-adic complexity of a class of binary sequences of period $4p$ with optimal autocorrelation magnitude
    • [cs.IT]On the Construction of $G_N$-coset Codes for Parallel Decoding
    • [cs.IT]Online User Scheduling and Resource Allocation for Mobile-Edge Computing Systems
    • [cs.IT]Over-the-Air Computation via Intelligent Reflecting Surfaces
    • [cs.IT]Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink
    • [cs.IT]Polar Codes for the Deletion Channel: Weak and Strong Polarization
    • [cs.IT]Realizing Multi-Point Vehicular Positioning via Millimeter-wave Transmission
    • [cs.LG]A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs
    • [cs.LG]A scalable saliency-based Feature selection method with instance level information
    • [cs.LG]A supervised-learning-based strategy for optimal demand response of an HVAC System
    • [cs.LG]Advancing GraphSAGE with A Data-Driven Node Sampling
    • [cs.LG]Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
    • [cs.LG]Adversarial Training and Robustness for Multiple Perturbations
    • [cs.LG]An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks
    • [cs.LG]AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications
    • [cs.LG]Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
    • [cs.LG]Categorical Feature Compression via Submodular Optimization
    • [cs.LG]Challenges of Real-World Reinforcement Learning
    • [cs.LG]Clustering Optimization: Finding the Number and Centroids of Clusters by a Fourier-based Algorithm
    • [cs.LG]Curriculum Learning in Deep Neural Networks for Financial Forecasting
    • [cs.LG]DAC: The Double Actor-Critic Architecture for Learning Options
    • [cs.LG]Deep Spectral Clustering using Dual Autoencoder Network
    • [cs.LG]Detecting Adversarial Examples through Nonlinear Dimensionality Reduction
    • [cs.LG]Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents
    • [cs.LG]Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine
    • [cs.LG]Factor Analysis in Fault Diagnostics Using Random Forest
    • [cs.LG]Finding Invariants in Deep Neural Networks
    • [cs.LG]Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
    • [cs.LG]Graph Convolutional Networks with EigenPooling
    • [cs.LG]Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
    • [cs.LG]Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode
    • [cs.LG]Incorporating Symbolic Sequential Modeling for Speech Enhancement
    • [cs.LG]Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
    • [cs.LG]Learning Fair Representations via an Adversarial Framework
    • [cs.LG]Model Comparison for Semantic Grouping
    • [cs.LG]Multimodal Classification of Urban Micro-Events
    • [cs.LG]New optimization algorithms for neural network training using operator splitting techniques
    • [cs.LG]Nonparametric feature extraction based on Minimax distance
    • [cs.LG]Recurrent Neural Networks in the Eye of Differential Equations
    • [cs.LG]Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits
    • [cs.LG]Sequence to sequence deep learning models for solar irradiation forecasting
    • [cs.LG]Test Selection for Deep Learning Systems
    • [cs.LG]Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies
    • [cs.LG]Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
    • [cs.LG]Why should you trust my interpretation? Understanding uncertainty in LIME predictions
    • [cs.NE]Survey of Dropout Methods for Deep Neural Networks
    • [cs.NI]A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks
    • [cs.NI]Elastic-TCP: Flexible Congestion Control Algorithm to Adapt for High-BDP Networks
    • [cs.RO]A novel geometrically inspired polynomial kernel for robot inverse dynamics
    • [cs.RO]Cooperative Localization under Limited Connectivity
    • [cs.RO]Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning
    • [cs.RO]Frontal Plane Bipedal Zero Dynamics Control
    • [cs.RO]Incrementally Learned Mixture Models for GNSS Localization
    • [cs.RO]Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles
    • [cs.SD]Performing Structured Improvisations with pre-trained Deep Learning Models
    • [cs.SI]Computational Models for Commercial Advertisements in Social Networks
    • [cs.SI]StartupBR: Higher Education’s Influence on Social Networks and Entrepreneurship in Brazil
    • [cs.SI]The Role of User Profile for Fake News Detection
    • [cs.SI]Triangle Preferential Attachment Has Power-law Degrees and Eigenvalues; Eigenvalues Are More Stable to Network Sampling
    • [econ.EM]A Factor-Augmented Markov Switching (FAMS) Model
    • [eess.IV]CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation
    • [eess.IV]Country-wide high-resolution vegetation height mapping with Sentinel-2
    • [eess.IV]Optimal Clustering Framework for Hyperspectral Band Selection
    • [math.CT]Computational Petri Nets: Adjunctions Considered Harmful
    • [math.OC]Restricted Boltzmann Machine Assignment Algorithm: Application to solve many-to-one matching problems on weighted bipartite graph
    • [math.ST]Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes
    • [math.ST]Consistency of least squares estimation to the parameter for stochastic differential equations under distribution uncertainty
    • [math.ST]Convergence rates for ordinal embedding
    • [math.ST]Estimating Proportion of True Null Hypotheses based on Sum of p-values and application to microarrays
    • [math.ST]Exact Testing of Many Moment Inequalities Against Multiple Violations
    • [math.ST]Extreme Nonlinear Correlation for Multiple Random Variables and Stochastic Processes with Applications to Additive Models
    • [math.ST]Minimax semi-supervised confidence sets for multi-class classification
    • [math.ST]Ready-to-Use Unbiased Estimators for Multivariate Cumulants Including One That Outperforms $\overline{x^3}$
    • [math.ST]Schwartz type model selection for ergodic stochastic differential equation models
    • [q-bio.NC]Generative models as parsimonious descriptions of sensorimotor loops
    • [q-bio.NC]Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
    • [stat.AP]Assessing simulation and bias correction methods for wind power generation in Brazil - can global datasets compete with local measurements
    • [stat.AP]Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children’s Health Studies
    • [stat.AP]Models for Genetic Diversity Generated by Negative Binomial Point Processes
    • [stat.AP]PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials
    • [stat.ME]Individualized Treatment Selection: An Optimal Hypothesis Testing Approach In High-dimensional Models
    • [stat.ME]Shrinkage Estimators in Online Experiments
    • [stat.ML]Active Manifolds: A non-linear analogue to Active Subspaces
    • [stat.ML]Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis
    • [stat.ML]Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout

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

    • [cond-mat.dis-nn]Minimal model of permutation symmetry in unsupervised learning
    Tianqi Hou, K. Y. Michael Wong, Haiping Huang
    http://arxiv.org/abs/1904.13052v1

    • [cs.AI]Anytime Integrated Task and Motion Policies for Stochastic Environments
    Naman Shah, Siddharth Srivastava
    http://arxiv.org/abs/1904.13006v1

    • [cs.AI]Efficiently Checking Actual Causality with SAT Solving
    Amjad Ibrahim, Simon Rehwald, Alexander Pretschner
    http://arxiv.org/abs/1904.13101v1

    • [cs.AI]Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
    Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson, Julian Gaal, Amy Loutfi, Luc De Raedt, Deniz Yuret, Alessandro Saffiotti
    http://arxiv.org/abs/1904.13324v1

    • [cs.AI]Online Causal Structure Learning in the Presence of Latent Variables
    Durdane Kocacoban, James Cussens
    http://arxiv.org/abs/1904.13247v1

    • [cs.AI]Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud
    Cheol Young Park, Shou Matsumoto, Jubyung Ha, YoungWon Park
    http://arxiv.org/abs/1904.12958v1

    • [cs.AI]Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
    Marjan Alirezaie, Martin Längkvist, Michael Sioutis, Amy Loutfi
    http://arxiv.org/abs/1904.13196v1

    • [cs.CL]A self-attention based deep learning method for lesion attribute detection from CT reports
    Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu
    http://arxiv.org/abs/1904.13018v1

    • [cs.CL]Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
    Anne Lauscher, Goran Glavaš
    http://arxiv.org/abs/1904.11783v2

    • [cs.CL]Don’t Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
    Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Francesco Moramarco, Jack Flann, Nils Y. Hammerla
    http://arxiv.org/abs/1904.13264v1

    • [cs.CL]English Broadcast News Speech Recognition by Humans and Machines
    Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltan Tuske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko
    http://arxiv.org/abs/1904.13258v1

    • [cs.CL]Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage
    Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar
    http://arxiv.org/abs/1904.13178v1

    • [cs.CL]Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
    Sanghyun Yi, Rahul Goel, Chandra Khatri, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tur
    http://arxiv.org/abs/1904.13015v1

    • [cs.CL]Very Deep Self-Attention Networks for End-to-End Speech Recognition
    Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues, Markus Muller, Alex Waibel
    http://arxiv.org/abs/1904.13377v1

    • [cs.CR]Agent-Based Simulations of Blockchain protocols illustrated via Kadena’s Chainweb
    Tarun Chitra, Monica Quaintance, Stuart Haber, Will Martino
    http://arxiv.org/abs/1904.12924v1

    • [cs.CR]An Argumentation-Based Approach to Assist in the Investigation and Attribution of Cyber-Attacks
    Erisa Karafili, Linna Wang, Emil C. Lupu
    http://arxiv.org/abs/1904.13173v1

    • [cs.CV]A Study on Action Detection in the Wild
    Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid
    http://arxiv.org/abs/1904.12993v1

    • [cs.CV]A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
    Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux
    http://arxiv.org/abs/1904.12970v1

    • [cs.CV]Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction
    Yuan Yuan, Dong Wang, Qi Wang
    http://arxiv.org/abs/1904.13079v1

    • [cs.CV]Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
    Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit
    http://arxiv.org/abs/1904.12534v2

    • [cs.CV]Comparative evaluation of 2D feature correspondence selection algorithms
    Chen Zhao, Jiaqi Yang, Yang Xiao, Zhiguo Cao
    http://arxiv.org/abs/1904.13383v1

    • [cs.CV]Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
    Kisuk Lee, Nicholas Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung
    http://arxiv.org/abs/1904.12966v1

    • [cs.CV]Cross-Modal Message Passing for Two-stream Fusion
    Dong Wang, Yuan Yuan, Qi Wang
    http://arxiv.org/abs/1904.13072v1

    • [cs.CV]Curvature: A signature for Action Recognition in Video Sequences
    He Chen, Gregory S. Chirikjian
    http://arxiv.org/abs/1904.13003v1

    • [cs.CV]Deep Learning Based Robot for Automatically Picking up Garbage on the Grass
    Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Dijun Liu
    http://arxiv.org/abs/1904.13034v1

    • [cs.CV]Deep Learning-based Face Pose Recovery
    Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li, Shiguo Lian
    http://arxiv.org/abs/1904.13102v1

    • [cs.CV]Detecting Reflections by Combining Semantic and Instance Segmentation
    David Owen, Ping-Lin Chang
    http://arxiv.org/abs/1904.13273v1

    • [cs.CV]DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
    Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze
    http://arxiv.org/abs/1904.12894v1

    • [cs.CV]Early Action Prediction with Generative Adversarial Networks
    Dong Wang, Yuan Yuan, Qi Wang
    http://arxiv.org/abs/1904.13085v1

    • [cs.CV]Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation
    Delphine Poux, Benjamin Allaert, Jose Mennesson, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba
    http://arxiv.org/abs/1904.13154v1

    • [cs.CV]GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks
    Andrey Alekseev, Anatoly Bobe
    http://arxiv.org/abs/1904.13204v1

    • [cs.CV]Handwritten Chinese Font Generation with Collaborative Stroke Refinement
    Chuan Wen, Jie Chang, Ya Zhang
    http://arxiv.org/abs/1904.13268v1

    • [cs.CV]Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
    Masanari Kimura, Masayuki Tanaka
    http://arxiv.org/abs/1904.13078v1

    • [cs.CV]Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
    Jiaming Liu, Chi-Hao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang
    http://arxiv.org/abs/1904.12945v1

    • [cs.CV]Learning to Find Common Objects Across Image Collections
    Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard Hartley
    http://arxiv.org/abs/1904.12936v1

    • [cs.CV]Memory-Augmented Temporal Dynamic Learning for Action Recognition
    Yuan Yuan, Dong Wang, Qi Wang
    http://arxiv.org/abs/1904.13080v1

    • [cs.CV]Non-Rigid Structure-From-Motion by Rank-One Basis Shapes
    Sami S. Brandt, Hanno Ackermann
    http://arxiv.org/abs/1904.13271v1

    • [cs.CV]Object Contour and Edge Detection with RefineContourNet
    Andre Peter Kelm, Vijesh Soorya Rao, Udo Zolzer
    http://arxiv.org/abs/1904.13353v1

    • [cs.CV]PR Product: A Substitute for Inner Product in Neural Networks
    Zhennan Wang, Wenbin Zou, Chen Xu
    http://arxiv.org/abs/1904.13148v1

    • [cs.CV]PYRO-NN: Python Reconstruction Operators in Neural Networks
    Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan Ploner, Andreas K. Maier
    http://arxiv.org/abs/1904.13342v1

    • [cs.CV]Segmentation is All You Need
    Yuxiang Wu, Zehua Cheng, Zhenghua Xu, Weiyang Wang
    http://arxiv.org/abs/1904.13300v1

    • [cs.CV]Structured Prediction using cGANs with Fusion Discriminator
    Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan Yuille
    http://arxiv.org/abs/1904.13358v1

    • [cs.CV]SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction
    Wei Gao, Russ Tedrake
    http://arxiv.org/abs/1904.13073v1

    • [cs.CV]Surprising Effectiveness of Few-Image Unsupervised Feature Learning
    Yuki M. Asano, Christian Rupprecht, Andrea Vedaldi
    http://arxiv.org/abs/1904.13132v1

    • [cs.CV]The Level Weighted Structural Similarity Loss: A Step Away from the MSE
    Yingjing Lu
    http://arxiv.org/abs/1904.13362v1

    • [cs.CV]The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
    Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu
    http://arxiv.org/abs/1904.12584v1

    • [cs.CV]Using cameras for precise measurement of two-dimensional plant features
    Amy Tabb, Germán A Holguín, Rachel Naegele
    http://arxiv.org/abs/1904.13187v1

    • [cs.CV]Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People
    Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Dijun Liu
    http://arxiv.org/abs/1904.13028v1

    • [cs.CV]Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People
    Jinqiang Bai, Zhaoxiang Liu, Yimin Lin, Ye Li, Shiguo Lian, Dijun Liu
    http://arxiv.org/abs/1904.13037v1

    • [cs.CY]Different Stages of Wearable Health Tracking Adoption & Abandonment: A Survey Study and Analysis
    Ahmed Fadhil
    http://arxiv.org/abs/1904.13226v1

    • [cs.CY]On Social Machines for Algorithmic Regulation
    Nello Cristianini, Teresa Scantamburlo
    http://arxiv.org/abs/1904.13316v1

    • [cs.CY]The Virtual Machinery Workshop: an Immersive 360 degree Web-Based Vocational Education Learning
    Prayitno, Anwar Sukito Ardjo, Liliek Triyono, Bambang Kuswanto
    http://arxiv.org/abs/1904.13209v1

    • [cs.DB]Learning Restricted Regular Expressions with Interleaving
    Chunmei Dong, Yeting Li, Haiming Chen
    http://arxiv.org/abs/1904.13164v1

    • [cs.DB]Supporting Video Queries on Zero-Streaming Cameras
    Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin
    http://arxiv.org/abs/1904.12342v1

    • [cs.DC]Is Stellar As Secure As You Think?
    Minjeong Kim, Yujin Kwon, Yongdae Kim
    http://arxiv.org/abs/1904.13302v1

    • [cs.DC]Please, do not decentralize the Internet with (permissionless) blockchains!
    Pedro Garcia Lopez, Alberto Montresor, Anwitaman Datta
    http://arxiv.org/abs/1904.13093v1

    • [cs.GR]Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
    Yifeng Jiang, Tom Van Wouwe, Friedl De Groote, C. Karen Liu
    http://arxiv.org/abs/1904.13041v1

    • [cs.HC]Coevo: a collaborative design platform with artificial agents
    Gerard Serra, David Miralles
    http://arxiv.org/abs/1904.13333v1

    • [cs.HC]You can’t see what you can’t see: Experimental evidence for how much relevant information may be missed due to Google’s Web search personalisation
    Cameron Lai, Markus Luczak-Roesch
    http://arxiv.org/abs/1904.13022v1

    • [cs.IR]Collaborative Filtering via High-Dimensional Regression
    Harald Steck
    http://arxiv.org/abs/1904.13033v1

    • [cs.IR]Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets
    Chih-Yi Chiu, Sarawut Markchit
    http://arxiv.org/abs/1904.13325v1

    • [cs.IR]Learning Image Information for eCommerce Queries
    Utkarsh Porwal
    http://arxiv.org/abs/1904.12856v1

    • [cs.IR]On the Effect of Low-Frequency Terms on Neural-IR Models
    Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
    http://arxiv.org/abs/1904.12683v2

    • [cs.IR]Sentiment Classification using N-gram IDF and Automated Machine Learning
    Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto
    http://arxiv.org/abs/1904.12162v1

    • [cs.IT]A Low-Complexity Antenna-Layout-Aware Spatial Covariance Matrix Estimation Method
    Shangbin Wu, Xiaoqing Zhang
    http://arxiv.org/abs/1904.13296v1

    • [cs.IT]Age-Optimal Transmission of Rateless Codes in an Erasure Channel
    Songtao Feng, Jing Yang
    http://arxiv.org/abs/1904.13048v1

    • [cs.IT]Design of Protograph Codes for Additive White Symmetric Alpha-Stable Noise Channels
    Xingwei Zhong, Kui Cai, Pingping Chen, Zhen Mei
    http://arxiv.org/abs/1904.13245v1

    • [cs.IT]Gradient Coding Based on Block Designs for Mitigating Adversarial Stragglers
    Swanand Kadhe, O. Ozan Koyluoglu, Kannan Ramchandran
    http://arxiv.org/abs/1904.13373v1

    • [cs.IT]Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation
    Qian Yu, A. Salman Avestimehr
    http://arxiv.org/abs/1904.13206v1

    • [cs.IT]Information geometry and asymptotic geodesics on the space of normal distributions
    Wolfgang Globke, Raul Quiroga-Barranco
    http://arxiv.org/abs/1904.12921v1

    • [cs.IT]On the 2-adic complexity of a class of binary sequences of period $4p$ with optimal autocorrelation magnitude
    Minghui Yang, Lulu Zhang, Keqin Feng
    http://arxiv.org/abs/1904.13012v1

    • [cs.IT]On the Construction of $G_N$-coset Codes for Parallel Decoding
    Xianbin Wang, Huazi Zhang, Rong Li, Jiajie Tong, Yiqun Ge, Jun Wang
    http://arxiv.org/abs/1904.13182v1

    • [cs.IT]Online User Scheduling and Resource Allocation for Mobile-Edge Computing Systems
    Shanfeng Huang, Bojie Lv, Rui Wang
    http://arxiv.org/abs/1904.13024v1

    • [cs.IT]Over-the-Air Computation via Intelligent Reflecting Surfaces
    Tao Jiang, Yuanming Shi
    http://arxiv.org/abs/1904.12475v2

    • [cs.IT]Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink
    Cheng Chen, Dushyantha Basnayaka, Ardimas Andi Purwita, Xiping Wu, Harald Haas
    http://arxiv.org/abs/1904.13163v1

    • [cs.IT]Polar Codes for the Deletion Channel: Weak and Strong Polarization
    Ido Tal, Henry D. Pfister, Arman Fazeli, Alexander Vardy
    http://arxiv.org/abs/1904.13385v1

    • [cs.IT]Realizing Multi-Point Vehicular Positioning via Millimeter-wave Transmission
    Zezhong Zhang, Seung-Woo Ko, Rui Wang, Kaibin Huang
    http://arxiv.org/abs/1904.13010v1

    • [cs.LG]A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs
    Soheil Esmaeilzadeh, Amir Salehi, Gill Hetz, Feyisayo Olalotiti-lawal, Hamed Darabi, David Castineira
    http://arxiv.org/abs/1904.13236v1

    • [cs.LG]A scalable saliency-based Feature selection method with instance level information
    Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
    http://arxiv.org/abs/1904.13127v1

    • [cs.LG]A supervised-learning-based strategy for optimal demand response of an HVAC System
    Youngjin Kim
    http://arxiv.org/abs/1904.13304v1

    • [cs.LG]Advancing GraphSAGE with A Data-Driven Node Sampling
    Jihun Oh, Kyunghyun Cho, Joan Bruna
    http://arxiv.org/abs/1904.12935v1

    • [cs.LG]Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
    Xin Du, Lei Sun, Wouter Duivesteijn, Alexander Nikolaev, Mykola Pechenizkiy
    http://arxiv.org/abs/1904.13335v1

    • [cs.LG]Adversarial Training and Robustness for Multiple Perturbations
    Florian Tramèr, Dan Boneh
    http://arxiv.org/abs/1904.13000v1

    • [cs.LG]An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks
    Emad-ul-Haq Qazi, Muhammad Hussain, Hatim Aboalsamh
    http://arxiv.org/abs/1904.13228v1

    • [cs.LG]AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications
    Luo Yuanfei, Wang Mengshuo, Zhou Hao, Yao Quanming, Tu WeiWei, Chen Yuqiang, Yang Qiang, Dai Wenyuan
    http://arxiv.org/abs/1904.12857v1

    • [cs.LG]Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
    Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlsamh, Ihsan Ullah
    http://arxiv.org/abs/1904.13234v1

    • [cs.LG]Categorical Feature Compression via Submodular Optimization
    MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni, Afshin Rostamizadeh
    http://arxiv.org/abs/1904.13389v1

    • [cs.LG]Challenges of Real-World Reinforcement Learning
    Gabriel Dulac-Arnold, Daniel Mankowitz, Todd Hester
    http://arxiv.org/abs/1904.12901v1

    • [cs.LG]Clustering Optimization: Finding the Number and Centroids of Clusters by a Fourier-based Algorithm
    Soheil Mehrabkhani
    http://arxiv.org/abs/1904.13241v1

    • [cs.LG]Curriculum Learning in Deep Neural Networks for Financial Forecasting
    Allison Koenecke, Amita Gajewar
    http://arxiv.org/abs/1904.12887v1

    • [cs.LG]DAC: The Double Actor-Critic Architecture for Learning Options
    Shangtong Zhang, Shimon Whiteson
    http://arxiv.org/abs/1904.12691v2

    • [cs.LG]Deep Spectral Clustering using Dual Autoencoder Network
    Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu
    http://arxiv.org/abs/1904.13113v1

    • [cs.LG]Detecting Adversarial Examples through Nonlinear Dimensionality Reduction
    Francesco Crecchi, Davide Bacciu, Battista Biggio
    http://arxiv.org/abs/1904.13094v1

    • [cs.LG]Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents
    Saeed Bamatraf, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim Aboalsamh
    http://arxiv.org/abs/1904.13221v1

    • [cs.LG]Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine
    Austin Slakey, Daniel Salas, Yoni Schamroth
    http://arxiv.org/abs/1904.13001v1

    • [cs.LG]Factor Analysis in Fault Diagnostics Using Random Forest
    Nagdev Amruthnath, Tarun Gupta
    http://arxiv.org/abs/1904.13366v1

    • [cs.LG]Finding Invariants in Deep Neural Networks
    Divya Gopinath, Ankur Taly, Hayes Converse, Corina S. Pasareanu
    http://arxiv.org/abs/1904.13215v1

    • [cs.LG]Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
    Kacper Kielak
    http://arxiv.org/abs/1904.13255v1

    • [cs.LG]Graph Convolutional Networks with EigenPooling
    Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
    http://arxiv.org/abs/1904.13107v1

    • [cs.LG]Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
    Gauthier Gidel, Francis Bach, Simon Lacoste-Julien
    http://arxiv.org/abs/1904.13262v1

    • [cs.LG]Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode
    Gregory B. Rehm, Brooks T. Kuhn, Jimmy Nguyen, Nicholas R. Anderson, Chen-Nee Chuah, Jason Y. Adams
    http://arxiv.org/abs/1904.12969v1

    • [cs.LG]Incorporating Symbolic Sequential Modeling for Speech Enhancement
    Chien-Feng Liao, Yu Tsao, Xugang Lu, Hisashi Kawai
    http://arxiv.org/abs/1904.13142v1

    • [cs.LG]Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
    James Bocinsky, Connor McCurley, Daniel Shats, Alina Zare
    http://arxiv.org/abs/1904.13197v1

    • [cs.LG]Learning Fair Representations via an Adversarial Framework
    Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang
    http://arxiv.org/abs/1904.13341v1

    • [cs.LG]Model Comparison for Semantic Grouping
    Francisco Vargas, Kamen Brestnichki, Nils Hammerla
    http://arxiv.org/abs/1904.13323v1

    • [cs.LG]Multimodal Classification of Urban Micro-Events
    Maarten Sukel, Stevan Rudinac, Marcel Worring
    http://arxiv.org/abs/1904.13349v1

    • [cs.LG]New optimization algorithms for neural network training using operator splitting techniques
    Cristian Daniel Alecsa, Titus Pinta, Imre Boros
    http://arxiv.org/abs/1904.12952v1

    • [cs.LG]Nonparametric feature extraction based on Minimax distance
    Morteza Haghir Chehreghani
    http://arxiv.org/abs/1904.13223v1

    • [cs.LG]Recurrent Neural Networks in the Eye of Differential Equations
    Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang
    http://arxiv.org/abs/1904.12933v1

    • [cs.LG]Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits
    Ali Yekkehkhany, Ebrahim Arian, Mohammad Hajiesmaili, Rakesh Nagi
    http://arxiv.org/abs/1904.13387v1

    • [cs.LG]Sequence to sequence deep learning models for solar irradiation forecasting
    Bhaskar Pratim Mukhoty, Vikas Maurya, Sandeep Kumar Shukla
    http://arxiv.org/abs/1904.13081v1

    • [cs.LG]Test Selection for Deep Learning Systems
    Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon
    http://arxiv.org/abs/1904.13195v1

    • [cs.LG]Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies
    Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong Lehmann, Andreas Wicki, Fernando Perez Cruz, Julia E. Vogt, Gunnar Rätsch
    http://arxiv.org/abs/1904.12973v1

    • [cs.LG]Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
    Shuhan Tan, Jiening Jiao, Wei-Shi Zheng
    http://arxiv.org/abs/1904.13179v1

    • [cs.LG]Why should you trust my interpretation? Understanding uncertainty in LIME predictions
    Hui Fen, Tan, Kuangyan Song, Madeilene Udell, Yiming Sun, Yujia Zhang
    http://arxiv.org/abs/1904.12991v1

    • [cs.NE]Survey of Dropout Methods for Deep Neural Networks
    Alex Labach, Hojjat Salehinejad, Shahrokh Valaee
    http://arxiv.org/abs/1904.13310v1

    • [cs.NI]A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks
    Kazi Ishfaq Ahmed, Ekram Hossain
    http://arxiv.org/abs/1904.13032v1

    • [cs.NI]Elastic-TCP: Flexible Congestion Control Algorithm to Adapt for High-BDP Networks
    Mohamed A. Alrshah, Mohamed A. Al-Maqri, Mohamed Othman
    http://arxiv.org/abs/1904.13105v1

    • [cs.RO]A novel geometrically inspired polynomial kernel for robot inverse dynamics
    Alberto Dalla Libera, Ruggero Carli
    http://arxiv.org/abs/1904.13317v1

    • [cs.RO]Cooperative Localization under Limited Connectivity
    Jianan Zhu, Solmaz S. Kia
    http://arxiv.org/abs/1904.13074v1

    • [cs.RO]Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning
    Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz
    http://arxiv.org/abs/1904.12907v1

    • [cs.RO]Frontal Plane Bipedal Zero Dynamics Control
    Arthur de Oliveira, Guilherme Vicinansa, Paulo da Silva, Bruno Angélico
    http://arxiv.org/abs/1904.12939v1

    • [cs.RO]Incrementally Learned Mixture Models for GNSS Localization
    Tim Pfeifer, Peter Protzel
    http://arxiv.org/abs/1904.13279v1

    • [cs.RO]Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles
    Zhe Liu, Chuanzhe Suo, Shunbo Zhou, Wen Chen, Hesheng Wang, Yun-Hui Liu
    http://arxiv.org/abs/1904.13030v1

    • [cs.SD]Performing Structured Improvisations with pre-trained Deep Learning Models
    Pablo Samuel Castro
    http://arxiv.org/abs/1904.13285v1

    • [cs.SI]Computational Models for Commercial Advertisements in Social Networks
    Samet Atdag, Haluk O. Bingol
    http://arxiv.org/abs/1904.13198v1

    • [cs.SI]StartupBR: Higher Education’s Influence on Social Networks and Entrepreneurship in Brazil
    Michelle Reddy, Júlio C. Nardelli, Yuri L. Pereira, Marisa Vasconcelos, Thiago H. Silva, Leonardo B. Oliveira, Mark Horowitz
    http://arxiv.org/abs/1904.12026v2

    • [cs.SI]The Role of User Profile for Fake News Detection
    Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
    http://arxiv.org/abs/1904.13355v1

    • [cs.SI]Triangle Preferential Attachment Has Power-law Degrees and Eigenvalues; Eigenvalues Are More Stable to Network Sampling
    Nicole Eikmeier, David F. Gleich
    http://arxiv.org/abs/1904.12989v1

    • [econ.EM]A Factor-Augmented Markov Switching (FAMS) Model
    Gregor Zens, Maximilian Böck
    http://arxiv.org/abs/1904.13194v1

    • [eess.IV]CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation
    Jonathan Rubin, S. Mazdak Abulnaga
    http://arxiv.org/abs/1904.13281v1

    • [eess.IV]Country-wide high-resolution vegetation height mapping with Sentinel-2
    Nico Lang, Konrad Schindler, Jan Dirk Wegner
    http://arxiv.org/abs/1904.13270v1

    • [eess.IV]Optimal Clustering Framework for Hyperspectral Band Selection
    Qi Wang, Fahong Zhang, Xuelong Li
    http://arxiv.org/abs/1904.13036v1

    • [math.CT]Computational Petri Nets: Adjunctions Considered Harmful
    Fabrizio Genovese, Alex Gryzlov, Jelle Herold, Marco Perone, Erik Post, André Videla
    http://arxiv.org/abs/1904.12974v1

    • [math.OC]Restricted Boltzmann Machine Assignment Algorithm: Application to solve many-to-one matching problems on weighted bipartite graph
    Francesco Curia
    http://arxiv.org/abs/1904.13111v1

    • [math.ST]Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes
    Simon Clinet, William T. M. Dunsmuir, Gareth W. Peters, Kylie-Anne Richards
    http://arxiv.org/abs/1904.13147v1

    • [math.ST]Consistency of least squares estimation to the parameter for stochastic differential equations under distribution uncertainty
    Chen Fei, Weiyin Fei
    http://arxiv.org/abs/1904.12701v1

    • [math.ST]Convergence rates for ordinal embedding
    Jordan S. Ellenberg, Lalit Jain
    http://arxiv.org/abs/1904.12994v1

    • [math.ST]Estimating Proportion of True Null Hypotheses based on Sum of p-values and application to microarrays
    Aniket Biswas
    http://arxiv.org/abs/1904.13282v1

    • [math.ST]Exact Testing of Many Moment Inequalities Against Multiple Violations
    Nick Koning, Paul Bekker
    http://arxiv.org/abs/1904.12775v1

    • [math.ST]Extreme Nonlinear Correlation for Multiple Random Variables and Stochastic Processes with Applications to Additive Models
    Zijian Guo, Cun-Hui Zhang
    http://arxiv.org/abs/1904.12897v1

    • [math.ST]Minimax semi-supervised confidence sets for multi-class classification
    Evgenii Chzhen, Christophe Denis, Mohamed Hebiri
    http://arxiv.org/abs/1904.12527v1

    • [math.ST]Ready-to-Use Unbiased Estimators for Multivariate Cumulants Including One That Outperforms $\overline{x^3}$
    Fabian Schefczik, Daniel Hägele
    http://arxiv.org/abs/1904.12154v1

    • [math.ST]Schwartz type model selection for ergodic stochastic differential equation models
    Shoichi Eguchi, Yuma Uehara
    http://arxiv.org/abs/1904.12398v1

    • [q-bio.NC]Generative models as parsimonious descriptions of sensorimotor loops
    Manuel Baltieri, Christopher L. Buckley
    http://arxiv.org/abs/1904.12937v1

    • [q-bio.NC]Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
    Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
    http://arxiv.org/abs/1904.13007v1

    • [stat.AP]Assessing simulation and bias correction methods for wind power generation in Brazil - can global datasets compete with local measurements
    Katharina Gruber, Claude Kloeckl, Peter Regner, Johannes Schmidt
    http://arxiv.org/abs/1904.13083v1

    • [stat.AP]Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children’s Health Studies
    Ander Wilson, Hsiao-Hsien Leon Hsu, Yueh-Hsiu Mathilda Chiu, Robert O. Wright, Rosalind J. Wright, Brent A. Coull
    http://arxiv.org/abs/1904.12417v2

    • [stat.AP]Models for Genetic Diversity Generated by Negative Binomial Point Processes
    Yuguang F. Ipsen, Soudabeh Shemehsavar, Ross A. Maller
    http://arxiv.org/abs/1904.13046v1

    • [stat.AP]PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials
    Tianjian Zhou, Wentian Guo, Yuan Ji
    http://arxiv.org/abs/1904.12981v1

    • [stat.ME]Individualized Treatment Selection: An Optimal Hypothesis Testing Approach In High-dimensional Models
    Tianxi Cai, Tony Cai, Zijian Guo
    http://arxiv.org/abs/1904.12891v1

    • [stat.ME]Shrinkage Estimators in Online Experiments
    Drew Dimmery, Eytan Bakshy, Jasjeet Sekhon
    http://arxiv.org/abs/1904.12918v1

    • [stat.ML]Active Manifolds: A non-linear analogue to Active Subspaces
    Robert A. Bridges, Anthony D. Gruber, Cristopher R. Felder, Miki Verma, Chelsey Hoff
    http://arxiv.org/abs/1904.13386v1

    • [stat.ML]Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis
    Xi Chen, Simon S. Du, Xin T. Tong
    http://arxiv.org/abs/1904.13016v1

    • [stat.ML]Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout
    Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia
    http://arxiv.org/abs/1904.12904v1