
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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The Geometry of Deep Generative Image Models and its Applications
Generative adversarial networks (GANs) have emerged as a powerful unsupe...
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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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Deep Denoising of Flash and NoFlash Pairs for Photography in LowLight Environments
We introduce a neural networkbased method to denoise pairs of images ta...
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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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