
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
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Selfsupervised Training of Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have been successfully applied to an...
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Hybrid Federated Learning: Algorithms and Implementation
Federated learning (FL) is a recently proposed distributed machine learn...
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Chart AutoEncoders for Manifold Structured Data
Autoencoding and generative models have made tremendous successes in im...
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Multiorgan Segmentation over Partially Labeled Datasets with Multiscale Feature Abstraction
This paper presents a unified training strategy that enables a novel mul...
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Imagedriven discriminative and generative machine learning algorithms for establishing microstructureprocessing relationships
We investigate methods of microstructure representation for the purpose ...
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Deep Encoderdecoder Adversarial Reconstruction (DEAR) Network for 3D CT from Fewview Data
Xray computed tomography (CT) is widely used in clinical practice. The ...
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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...
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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...
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Duality of Width and Depth of Neural Networks
Here, we report that the depth and the width of a neural network are dua...
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Unsupervised Geometric Disentanglement for Surfaces via CFANVAE
For nonEuclidean data such as meshes of humans, a prominent task for ge...
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Adaptive Temporal Difference Learning with Linear Function Approximation
This paper revisits the celebrated temporal difference (TD) learning alg...
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Truth Discovery via Proxy Voting
Truth discovery is a general name for a broad range of statistical metho...
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Reinforcement Learning with Quantum Variational Circuits
The development of quantum computational techniques has advanced greatly...
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Practical Detection of Trojan Neural Networks: DataLimited and DataFree Cases
When the training data are maliciously tampered, the predictions of the ...
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Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Commercial iterative reconstruction techniques on modern CT scanners tar...
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Boundaryweighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Accurate segmentation of the prostate from magnetic resonance (MR) image...
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An imagedriven machine learning approach to kinetic modeling of a discontinuous precipitation reaction
Micrograph quantification is an essential component of several materials...
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Multiperson Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads
In this paper, we present a multiuser interaction interface for a large...
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Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning
Transrectal ultrasound (US) is the most commonly used imaging modality t...
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Universal Approximation with Quadratic Deep Networks
Recently, deep learning has been playing a central role in machine learn...
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Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
For node level graph encoding, a recent important stateofart method is...
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Nonisometric Surface Registration via Conformal LaplaceBeltrami Basis Pursuit
Surface registration is one of the most fundamental problems in geometry...
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Knowledgebased Analysis for Mortality Prediction from CT Images
Recent studies have highlighted the high correlation between cardiovascu...
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A Grounded Unsupervised Universal PartofSpeech Tagger for LowResource Languages
Unsupervised part of speech (POS) tagging is often framed as a clusterin...
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GATCluster: SelfSupervised GaussianAttention Network for Image Clustering
Deep clustering has achieved stateoftheart results via joint represen...
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Dual Network Architecture for Fewview CT Trained on ImageNet Data and Transferred for Medical Imaging
Xray computed tomography (CT) reconstructs crosssectional images from ...
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CommunicationEfficient Distributed Learning via Lazily Aggregated Quantized Gradients
The present paper develops a novel aggregated gradient approach for dist...
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A DependencyBased Neural Network for Relation Classification
Previous research on relation classification has verified the effectiven...
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Influence of Personal Preferences on Link Dynamics in Social Networks
We study a unique network dataset including periodic surveys and electro...
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Application of a Shallow Neural Network to ShortTerm Stock Trading
Machine learning is increasingly prevalent in stock market trading. Thou...
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Towards CognitiveandImmersive Systems: Experiments in a Shared (or common) Blockworld Framework
As computational power has continued to increase, and sensors have becom...
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A Generative Restricted Boltzmann Machine Based Method for HighDimensional Motion Data Modeling
Many computer vision applications involve modeling complex spatiotempor...
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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 ...
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Deep Learning for Passive Synthetic Aperture Radar
We introduce a deep learning (DL) framework for inverse problems in imag...
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Scalable Kernel KMeans Clustering with Nystrom Approximation: RelativeError Bounds
Kernel kmeans clustering can correctly identify and extract a far more ...
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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...
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KATE: KCompetitive Autoencoder for Text
Autoencoders have been successful in learning meaningful representations...
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Truthful Mechanisms for Matching and Clustering in an Ordinal World
We study truthful mechanisms for matching and related problems in a part...
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Census Signal Temporal Logic Inference for MultiAgent Group Behavior Analysis
In this paper, we define a novel census signal temporal logic (CensusSTL...
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Rank Persistence: Assessing the Temporal Performance of RealWorld Person ReIdentification
Designing useful person reidentification systems for realworld applica...
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Accelerated PrimalDual Proximal Block Coordinate Updating Methods for Constrained Convex Optimization
Block Coordinate Update (BCU) methods enjoy low perupdate computational...
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Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
We address the statistical and optimization impacts of using classical s...
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CrossNets : A New Approach to Complex Learning
We propose a novel neural network structure called CrossNets, which cons...
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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. ...
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Randomized Social Choice Functions Under Metric Preferences
We determine the quality of randomized social choice mechanisms in a set...
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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...
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Manifold Based Lowrank Regularization for Image Restoration and Semisupervised Learning
Lowrank structures play important role in recent advances of many probl...
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Allocating Indivisible Items in Categorized Domains
We formulate a general class of allocation problems called categorized d...
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Optimal Sparse Linear AutoEncoders and Sparse PCA
Principal components analysis (PCA) is the optimal linear autoencoder o...
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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.