
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
read it

Selfsupervised Training of Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have been successfully applied to an...
read it

Chart AutoEncoders for Manifold Structured Data
Autoencoding and generative models have made tremendous successes in im...
read it

Multiorgan Segmentation over Partially Labeled Datasets with Multiscale Feature Abstraction
This paper presents a unified training strategy that enables a novel mul...
read it

Imagedriven discriminative and generative machine learning algorithms for establishing microstructureprocessing relationships
We investigate methods of microstructure representation for the purpose ...
read it

Deep Encoderdecoder Adversarial Reconstruction (DEAR) Network for 3D CT from Fewview Data
Xray computed tomography (CT) is widely used in clinical practice. The ...
read it

A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm
Out of the recent advances in systems and control (S&C)based analysis o...
read it

Deep Efficient Endtoend Reconstruction (DEER) Network for Lowdose Fewview Breast CT from Projection Data
Breast CT provides image volumes with isotropic resolution in high contr...
read it

Duality of Width and Depth of Neural Networks
Here, we report that the depth and the width of a neural network are dua...
read it

Unsupervised Geometric Disentanglement for Surfaces via CFANVAE
For nonEuclidean data such as meshes of humans, a prominent task for ge...
read it

Adaptive Temporal Difference Learning with Linear Function Approximation
This paper revisits the celebrated temporal difference (TD) learning alg...
read it

Truth Discovery via Proxy Voting
Truth discovery is a general name for a broad range of statistical metho...
read it

Reinforcement Learning with Quantum Variational Circuits
The development of quantum computational techniques has advanced greatly...
read it

Practical Detection of Trojan Neural Networks: DataLimited and DataFree Cases
When the training data are maliciously tampered, the predictions of the ...
read it

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Commercial iterative reconstruction techniques on modern CT scanners tar...
read it

Boundaryweighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Accurate segmentation of the prostate from magnetic resonance (MR) image...
read it

An imagedriven machine learning approach to kinetic modeling of a discontinuous precipitation reaction
Micrograph quantification is an essential component of several materials...
read it

Multiperson Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads
In this paper, we present a multiuser interaction interface for a large...
read it

Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning
Transrectal ultrasound (US) is the most commonly used imaging modality t...
read it

Universal Approximation with Quadratic Deep Networks
Recently, deep learning has been playing a central role in machine learn...
read it

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
For node level graph encoding, a recent important stateofart method is...
read it

Nonisometric Surface Registration via Conformal LaplaceBeltrami Basis Pursuit
Surface registration is one of the most fundamental problems in geometry...
read it

Knowledgebased Analysis for Mortality Prediction from CT Images
Recent studies have highlighted the high correlation between cardiovascu...
read it

A Grounded Unsupervised Universal PartofSpeech Tagger for LowResource Languages
Unsupervised part of speech (POS) tagging is often framed as a clusterin...
read it

GATCluster: SelfSupervised GaussianAttention Network for Image Clustering
Deep clustering has achieved stateoftheart results via joint represen...
read it

Dual Network Architecture for Fewview CT Trained on ImageNet Data and Transferred for Medical Imaging
Xray computed tomography (CT) reconstructs crosssectional images from ...
read it

CommunicationEfficient Distributed Learning via Lazily Aggregated Quantized Gradients
The present paper develops a novel aggregated gradient approach for dist...
read it

A DependencyBased Neural Network for Relation Classification
Previous research on relation classification has verified the effectiven...
read it

Influence of Personal Preferences on Link Dynamics in Social Networks
We study a unique network dataset including periodic surveys and electro...
read it

Application of a Shallow Neural Network to ShortTerm Stock Trading
Machine learning is increasingly prevalent in stock market trading. Thou...
read it

Towards CognitiveandImmersive Systems: Experiments in a Shared (or common) Blockworld Framework
As computational power has continued to increase, and sensors have becom...
read it

A Generative Restricted Boltzmann Machine Based Method for HighDimensional Motion Data Modeling
Many computer vision applications involve modeling complex spatiotempor...
read it

From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards
In the context of Smart Cities, indicator definitions have been used to ...
read it

Deep Learning for Passive Synthetic Aperture Radar
We introduce a deep learning (DL) framework for inverse problems in imag...
read it

Scalable Kernel KMeans Clustering with Nystrom Approximation: RelativeError Bounds
Kernel kmeans clustering can correctly identify and extract a far more ...
read it

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
In this paper, we introduce a new CT image denoising method based on the...
read it

KATE: KCompetitive Autoencoder for Text
Autoencoders have been successful in learning meaningful representations...
read it

Truthful Mechanisms for Matching and Clustering in an Ordinal World
We study truthful mechanisms for matching and related problems in a part...
read it

Census Signal Temporal Logic Inference for MultiAgent Group Behavior Analysis
In this paper, we define a novel census signal temporal logic (CensusSTL...
read it

Rank Persistence: Assessing the Temporal Performance of RealWorld Person ReIdentification
Designing useful person reidentification systems for realworld applica...
read it

Accelerated PrimalDual Proximal Block Coordinate Updating Methods for Constrained Convex Optimization
Block Coordinate Update (BCU) methods enjoy low perupdate computational...
read it

Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
We address the statistical and optimization impacts of using classical s...
read it

CrossNets : A New Approach to Complex Learning
We propose a novel neural network structure called CrossNets, which cons...
read it

Building a FineGrained Entity Typing System Overnight for a New X (X = Language, Domain, Genre)
Recent research has shown great progress on finegrained entity typing. ...
read it

Randomized Social Choice Functions Under Metric Preferences
We determine the quality of randomized social choice mechanisms in a set...
read it

Hybrid Jacobian and GaussSeidel proximal block coordinate update methods for linearly constrained convex programming
Recent years have witnessed the rapid development of block coordinate up...
read it

Manifold Based Lowrank Regularization for Image Restoration and Semisupervised Learning
Lowrank structures play important role in recent advances of many probl...
read it

Allocating Indivisible Items in Categorized Domains
We formulate a general class of allocation problems called categorized d...
read it

Optimal Sparse Linear AutoEncoders and Sparse PCA
Principal components analysis (PCA) is the optimal linear autoencoder o...
read it

Possible and Necessary Allocations via Sequential Mechanisms
A simple mechanism for allocating indivisible resources is sequential al...
read it
Rensselaer Polytechnic Institute
The institute was established in 1824 by Stephen van Rensselaer and Amos Eaton for the "application of science to the common purposes of life" and is described as the oldest technological university in the Englishspeaking world.