Funder
National Nuclear Security Administration
National Institutes of Health
Lawrence Livermore National Laboratory
U.S. Department of Energy
Los Alamos National Laboratory
National Cancer Institute
Subject
Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science
Reference49 articles.
1. The need for uncertainty quantification in machine-assisted medical decision making;Begoli;Nat. Mach. Intell.,2019
2. Uncertainty Quantification: Theory, Implementation, and Applications;Smith,2013
3. Dropout as a Bayesian approximation: Representing model uncertainty in deep learning;Gal,2016
4. Simple and scalable predictive uncertainty estimation using deep ensembles;Lakshminarayanan,2017
5. Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems;Zhang;J. Comput. Phys.,2019
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