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01/05/2022
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to transfer and adapt knowledg...
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12/03/2020
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization
Motion capture (mocap) and time-of-flight based sensing of human actions...
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06/18/2020
Generative Patch Priors for Practical Compressive Image Recovery
In this paper, we propose the generative patch prior (GPP) that defines ...
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05/05/2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models
Predictive models that accurately emulate complex scientific processes c...
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12/17/2019
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies
Neural networks have become very popular in surrogate modeling because o...
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12/16/2019
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
In the past few years, generative models like Generative Adversarial Net...
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12/05/2019
Merlin: Enabling Machine Learning-Ready HPC Ensembles
With the growing complexity of computational and experimental facilities...
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10/11/2019
Extreme Few-view CT Reconstruction using Deep Inference
Reconstruction of few-view x-ray Computed Tomography (CT) data is a high...
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10/05/2019
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets
Training deep neural networks on large scientific data is a challenging ...
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10/03/2019
Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion
There is significant interest in using modern neural networks for scient...
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10/03/2019
Improving Limited Angle CT Reconstruction with a Robust GAN Prior
Limited angle CT reconstruction is an under-determined linear inverse pr...
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09/25/2019
Function Preserving Projection for Scalable Exploration of High-Dimensional Data
We present function preserving projections (FPP), a scalable linear proj...
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07/19/2019
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
With the rapid adoption of machine learning techniques for large-scale a...
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06/11/2019
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation
Unsupervised domain adaptation aims to transfer and adapt knowledge lear...
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11/22/2018
MR-GAN: Manifold Regularized Generative Adversarial Networks
Despite the growing interest in generative adversarial networks (GANs), ...
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11/20/2018
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense
Solving inverse problems continues to be a central challenge in computer...
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11/11/2018
Multiple Subspace Alignment Improves Domain Adaptation
We present a novel unsupervised domain adaptation (DA) method for cross-...
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10/31/2018
Unsupervised Dimension Selection using a Blue Noise Spectrum
Unsupervised dimension selection is an important problem that seeks to r...
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10/31/2018
Understanding Deep Neural Networks through Input Uncertainties
Techniques for understanding the functioning of complex machine learning...
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05/18/2018
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks
Solving inverse problems continues to be a challenge in a wide array of ...
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11/28/2017
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
Computed Tomography (CT) reconstruction is a fundamental component to a ...
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11/15/2017
Influential Sample Selection: A Graph Signal Processing Approach
With the growing complexity of machine learning techniques, understandin...
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04/24/2017
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification
Using predictive models to identify patterns that can act as biomarkers ...
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10/29/2016
Diversity Promoting Online Sampling for Streaming Video Summarization
Many applications benefit from sampling algorithms where a small number ...
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05/28/2016
A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams
Topological data analysis is becoming a popular way to study high dimens...
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03/07/2016
Elastic Functional Coding of Riemannian Trajectories
Visual observations of dynamic phenomena, such as human actions, are oft...
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06/21/2014
