Reduced-order model-based variational inference with normalizing flows for Bayesian elliptic inverse problems

DOI10.1016/j.cam.2023.115659OpenAlexW4388898500MaRDI QIDQ6145183

Cheng Zhang, Zhiwen Zhang, Zhizhang Wu

Publication date: 30 January 2024

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2023.115659

zbMATH Keywords

proper orthogonal decompositionvariational inferencereduced-order modelsnormalizing flowsBayesian elliptic inverse problems

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Bayesian inference (62F15) Boundary value problems for second-order elliptic equations (35J25) Inverse problems for PDEs (35R30) PDEs with randomness, stochastic partial differential equations (35R60) Model reduction in optics and electromagnetic theory (78M34)

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