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Publication Type Year

Machine learning and spatial decomposition for large CT scans

IS&T Electronic Imaging 2022

Eric Christopher Cyr, Gary Joseph Saavedra

Conference Presentation – 2021 Conference Presentation 2021

The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans

ASC AMLI Program Review

Ron A. Oldfield, Sharlotte LorraineBolyard Kramer, Ahmad Rushdi, Erin Acquesta, John M Emery, Paul Allen Kuberry, Jaideep Ray, Sarah Ackerman, Eric Christopher Cyr, Gary Joseph Saavedra, Clayton Hughes, Suma George Cardwell, John Darby Smith

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Model Parallelism with Spatial Decomposition of Volumetric Data for Deep Learning

SIAM Computational Science and Engineering 2021

Gary Joseph Saavedra, Eric Christopher Cyr, Jacob Schroder, Russell Hewett

Conference Presentation – 2021 Conference Presentation 2021

Neural Network Interatomic Potentials

Gary Joseph Saavedra, Aidan P. Thompson

SAND Report – 2020 SAND Report 2020

Data Analytics are Powerful -- Handle with Care

Chesapeake Large-Scale Analytics Conference

Jeremy D Wendt, William Philip Kegelmeyer, Ali Pinar, Timothy Malcolm Shead, Gary Joseph Saavedra, Cosmin Safta, Joseph Bertino

Conference Paper – 2019 Conference Paper 2019

Static Source Code Analysis Using Neural Networks

Machine Learning and Deep Learning Workshop

Gary Joseph Saavedra, Daniel Dunlavy

Conference Paper – 2018 Conference Paper 2018
Document Title Type Year