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06/13/2023
Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
This work suggests several methods of uncertainty treatment in multiscal...
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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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05/02/2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations
We investigate uncertainty estimation and multimodality via the non-dete...
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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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11/30/2018