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Learning Interpretable Models Through Multi-Objective Neural Architecture Search


Dec 16, 2021
Zachariah Carmichael, Tim Moon, Sam Ade Jacobs

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Merlin: Enabling Machine Learning-Ready HPC Ensembles


Dec 05, 2019
J. Luc Peterson, Rushil Anirudh, Kevin Athey, Benjamin Bay, Peer-Timo Bremer, Vic Castillo, Francesco Di Natale, David Fox, Jim A. Gaffney, David Hysom, Sam Ade Jacobs, Bhavya Kailkhura, Joe Koning, Bogdan Kustowski, Steven Langer, Peter Robinson, Jessica Semler, Brian Spears, Jayaraman Thiagarajan, Brian Van Essen, Jae-Seung Yeom

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* 10 pages, 5 figures; Submitted to IPDPS 2020 

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Parallelizing Training of Deep Generative Models on Massive Scientific Datasets


Oct 05, 2019
Sam Ade Jacobs, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagaranjan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, Tom Benson, Peter Robinson, Luc Peterson, Brian Spears

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Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications


Jul 19, 2019
Shusen Liu, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom, Jim Gaffney, Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer

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Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency


Jan 30, 2019
Ya Ju Fan, Jonathan E. Allen, Sam Ade Jacobs, Brian C. Van Essen

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* Second Workshop on HPC Applications in Precision Medicine, June 2018 

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