DOE OSTI · 3395510
Challenges and Solutions for Developing Machine Learning Benchmarks on Mission-Driven Scientific Applications
Abstract
Gives a brief overview of some of the validation issues between a shareable benchmark and real-world algorithm use through our nanoindentation and maritime exemplars.
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Henriksen, Amelia Anne [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000150428417). 2025-03-01. Challenges and Solutions for Developing Machine Learning Benchmarks on Mission-Driven Scientific Applications. https://doi.org/10.2172/3395510
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