Fully probabilistic deep models for forward and inverse problems in parametric PDEs
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Publication:6095115
DOI10.1016/j.jcp.2023.112369arXiv2208.04856OpenAlexW4384459950MaRDI QIDQ6095115
Ömer Deniz Akyildiz, Fehmi Cirak, Mark A. Girolami, Arnaud Vadeboncoeur, Ieva Kazlauskaite
Publication date: 27 November 2023
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2208.04856
finite elementsneural networksweighted residualsvariational inferencelatent variable modelphysics-informed generative models
Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx)
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