
PCapsNets: a General Form of Convolutional Neural Networks
We propose Pure CapsNets (PCapsNets) which is a generation of normal CN...
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Attacking Visionbased Perception in EndtoEnd Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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Simple Physical Adversarial Examples against EndtoEnd Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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Defending Against Physically Realizable Attacks on Image Classification
We study the problem of defending deep neural network approaches for ima...
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Training Image Estimators without Image GroundTruth
Deep neural networks have been very successful in image estimation appli...
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Basis Prediction Networks for Effective Burst Denoising with Large Kernels
Bursts of images exhibit significant selfsimilarity across both time an...
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Scalable PlugandPlay ADMM with Convergence Guarantees
Plugandplay priors (PnP) is a broadly applicable methodology for solvi...
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Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
Detection of malicious behavior is a fundamental problem in security. On...
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Protecting Geolocation Privacy of Photo Collections
People increasingly share personal information, including their photos a...
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Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods
It is widely accepted that optimization of medical imaging system perfor...
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Generating and Exploiting Probabilistic Monocular Depth Estimates
Despite the remarkable success of modern monocular depth estimation meth...
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Automatic Algorithm Selection In Multiagent Pathfinding
In a multiagent pathfinding (MAPF) problem, agents need to navigate fro...
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A perception centred selfdriving system without HD Maps
This paper proposes a new selfdriving system to solve the localization ...
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Deep Image Reconstruction using Unregistered Measurements without Groundtruth
One of the key limitations in conventional deep learning based image rec...
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PlaneNet: Piecewise Planar Reconstruction from a Single RGB Image
This paper proposes a deep neural network (DNN) for piecewise planar de...
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Block Coordinate Regularization by Denoising
We consider the problem of estimating a vector from its noisy measuremen...
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Celeganser: Automated Analysis of Nematode Morphology and Age
The nematode Caenorhabditis elegans (C. elegans) serves as an important ...
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A Brownian Motion Model and Extreme Belief Machine for Modeling Sensor Data Measurements
As the title suggests, we will describe (and justify through the present...
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Laplacian Prior Variational Automatic Relevance Determination for Transmission Tomography
In the classic sparsitydriven problems, the fundamental L1 penalty met...
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The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization
We introduce a statistical physics inspired supervised machine learning ...
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Efficient, Safe, and Probably Approximately Complete Learning of Action Models
In this paper we explore the theoretical boundaries of planning in a set...
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Compressing Convolutional Neural Networks
Convolutional neural networks (CNN) are increasingly used in many areas ...
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Accelerated Image Reconstruction for Nonlinear Diffractive Imaging
The problem of reconstructing an object from the measurements of the lig...
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Compressing Neural Networks with the Hashing Trick
As deep nets are increasingly used in applications suited for mobile dev...
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A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels
Nonlinear kernel methods can be approximated by fast linear ones using ...
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Stabilizing GAN Training with Multiple Random Projections
Training generative adversarial networks is unstable in highdimensions ...
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Distributed Constraint Optimization Problems and Applications: A Survey
The field of MultiAgent System (MAS) is an active area of research with...
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A Predictive Model using the Markov Property
Given a data set of numerical values which are sampled from some unknown...
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Conditional Sparse Linear Regression
Machine learning and statistics typically focus on building models that ...
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RIDI: Robust IMU Double Integration
This paper proposes a novel datadriven approach for inertial navigation...
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Exploiting 2D Floorplan for Buildingscale Panorama RGBD Alignment
This paper presents a novel algorithm that utilizes a 2D floorplan to al...
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Turning an Urban Scene Video into a Cinemagraph
This paper proposes an algorithm that turns a regular video capturing ur...
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Multiway Particle Swarm Fusion
This paper proposes a novel MAP inference framework for Markov Random Fi...
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An interacting replica approach applied to the traveling salesman problem
We present a physics inspired heuristic method for solving combinatorial...
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Private Causal Inference
Causal inference deals with identifying which random variables "cause" o...
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How to show a probabilistic model is better
We present a simple theoretical framework, and corresponding practical p...
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Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise
We propose a globally convergent alternating minimization (AM) algorithm...
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Image Data Compression for Covariance and Histogram Descriptors
Covariance and histogram image descriptors provide an effective way to c...
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MultiScale Convolutional Neural Networks for Time Series Classification
Time series classification (TSC), the problem of predicting class labels...
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Rapid Feature Learning with Stacked Linear Denoisers
We investigate unsupervised pretraining of deep architectures as featur...
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Multiresolution Approach to Acceleration of Iterative Image Reconstruction for XRay Imaging for Security Applications
Threedimensional xray CT image reconstruction in baggage scanning in s...
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An alternative text representation to TFIDF and BagofWords
In text mining, information retrieval, and machine learning, text docume...
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Inference of hidden structures in complex physical systems by multiscale clustering
We survey the application of a relatively new branch of statistical phys...
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Distance Metric Learning for Kernel Machines
Recent work in metric learning has significantly improved the stateoft...
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Anytime Coalition Structure Generation with Worst Case Guarantees
Coalition formation is a key topic in multiagent systems. One would pref...
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Decoding BetaDecay Systematics: A Global Statistical Model for Beta^ Halflives
Statistical modeling of nuclear data provides a novel approach to nuclea...
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Automatic Segmentation of Fluorescence Lifetime Microscopy Images of Cells Using MultiResolution Community Detection
We have developed an automatic method for segmenting fluorescence lifeti...
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Pattern Recognition System Design with Linear Encoding for Discrete Patterns
In this paper, designs and analyses of compressive recognition systems a...
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Insights into Analogy Completion from the Biomedical Domain
Analogy completion has been a popular task in recent years for evaluatin...
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Strategies for Training Large Vocabulary Neural Language Models
Training neural network language models over large vocabularies is still...
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Washington University in St. Louis, a mediumsized, independent university, is dedicated to challenging its faculty and students alike to seek new knowledge and greater understanding of an everchanging, multicultural world. The University is counted among the worlds leaders in teaching and research, and draws students and faculty to St. Louis from all 50 states and more than 110 nations. The University is highly regarded for its commitment to excellence in learning. Its programs, administration, facilities, resources, and activities combine to further its mission of teaching, research, and service to society. The University has played an integral role in the history and continuing growth of St. Louis and benefits in turn from the wide array of social, cultural, and recreational opportunities offered by the metropolitan area to its more than 2.8 million residents.