Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

Title
Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification
Authors
Keywords
Uncertainty quantification, Bayesian neural networks, Convolutional encoder–decoder networks, Deep learning, Porous media flows
Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 366, Issue -, Pages 415-447
Publisher
Elsevier BV
Online
2018-04-12
DOI
10.1016/j.jcp.2018.04.018

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