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Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty
  Quantification

Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification

15 April 2021
F. Newberry
Jerrad Hampton
K. Jansen
Alireza Doostan
ArXiv (abs)PDFHTML

Papers citing "Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification"

2 / 2 papers shown
Title
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Nuojin Cheng
Osman Asif Malik
Subhayan De
Stephen Becker
Alireza Doostan
68
9
0
25 May 2023
Context-aware learning of hierarchies of low-fidelity models for
  multi-fidelity uncertainty quantification
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification
Ionut-Gabriel Farcas
Benjamin Peherstorfer
T. Neckel
Frank Jenko
H. Bungartz
AI4CE
67
12
0
20 Nov 2022
1