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Jim A. Gaffney

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Lawrence Livermore National Laboratory, Livermore, CA

Learning thermodynamically constrained equations of state with uncertainty

Jun 29, 2023
Himanshu Sharma, Jim A. Gaffney, Dimitrios Tsapetis, Michael D. Shields

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Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data

Apr 19, 2021
Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan

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Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations

Oct 26, 2020
Gemma J. Anderson, Jim A. Gaffney, Brian K. Spears, Peer-Timo Bremer, Rushil Anirudh, Jayaraman J. Thiagarajan

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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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