A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows
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Publication:6194145
DOI10.1016/j.cma.2023.116682arXiv2310.04690OpenAlexW4390021847MaRDI QIDQ6194145
Deep Ray, Agnimitra Dasgupta, Assad A. Oberai, Erik A. Johnson, Dhruv Patel
Publication date: 19 March 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2310.04690
inverse problemsBayesian inferenceuncertainty quantificationvariational inferencegenerative modeling
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