Debusschere_wp_MLUQ_final.pdf (132.7 kB)
Predictive Fidelity, Interpretability, and Resilience of Machine Learning Methods Applied to Scientific Simulations
Version 2 2017-08-17, 00:15
Version 1 2017-08-16, 20:41
journal contribution
posted on 2017-08-17, 00:15 authored by Bert DebusschereBert Debusschere, Ali Pinar, Khachik Sargsyan, Jeremy Templeton, Habib NajmWhitepaper submitted to the 2017 DOE ASCR Applied Math Meeting
All authors are affiliated with Sandia National Laboratories
From the list at https://www.orau.gov/ascr-appliedmath-pi2017/whitepaper-questions.htm, this white paper addresses the questions 2b and 4b.
