Adversarial uncertainty quantification in physics-informed neural networks

Title
Adversarial uncertainty quantification in physics-informed neural networks
Authors
Keywords
Variational inference, Generative adversarial networks, Probabilistic deep learning, Probabilistic scientific computing, Data-driven modeling
Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-05-24
DOI
10.1016/j.jcp.2019.05.027

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