39 citations · 48 across the 7 of their papers we have counts for
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stat.ME2021
Imprecise Subset Simulation
Dimitris G. Giovanis, Michael Shields
The objective of this work is to quantify the uncertainty in probability of failure estimates resulting from incomplete knowledge of the probability distributions for the input ran…
physics.data-an2021★ 39 cited
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models
Katiana Kontolati, Dimitrios Loukrezis, Ketson R. M. dos Santos +2
In this work we introduce a manifold learning-based method for uncertainty quantification (UQ) in systems describing complex spatiotemporal processes. Our first objective is to ide…