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11/20/2022
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification
Multi-fidelity Monte Carlo methods leverage low-fidelity and surrogate m...
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02/08/2022
A general framework for quantifying uncertainty at scale and its application to fusion research
In many fields of science, remarkably comprehensive and realistic comput...
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01/29/2021
Reduced operator inference for nonlinear partial differential equations
We present a new scientific machine learning method that learns from dat...
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04/27/2019
Multilevel adaptive sparse Leja approximations for Bayesian inverse problems
Deterministic interpolation and quadrature methods are often unsuitable ...
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11/30/2018