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Bethany Lusch

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Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems For Control

Sep 08, 2023
Madhur Tiwari, George Nehma, Bethany Lusch

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A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems

Jun 15, 2023
Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma

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AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification

Oct 26, 2021
Romain Egele, Romit Maulik, Krishnan Raghavan, Prasanna Balaprakash, Bethany Lusch

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Deploying deep learning in OpenFOAM with TensorFlow

Dec 01, 2020
Romit Maulik, Himanshu Sharma, Saumil Patel, Bethany Lusch, Elise Jennings

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Deep Learning Models for Global Coordinate Transformations that Linearize PDEs

Nov 07, 2019
Craig Gin, Bethany Lusch, Steven L. Brunton, J. Nathan Kutz

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Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models

Nov 01, 2019
Romit Maulik, Vishwas Rao, Sandeep Madireddy, Bethany Lusch, Prasanna Balaprakash

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Deep learning for universal linear embeddings of nonlinear dynamics

Apr 13, 2018
Bethany Lusch, J. Nathan Kutz, Steven L. Brunton

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Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks

Dec 13, 2016
Bethany Lusch, Jake Weholt, Pedro D. Maia, J. Nathan Kutz

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Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries

Aug 16, 2016
Bethany Lusch, Eric C. Chi, J. Nathan Kutz

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