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

Research article (Journal of Computational Physics, 2018) · cited 696× · AI/ML
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Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

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Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-deep-convolutional-encoderdecoder-networks-for-surrogate-modeling-and-uncertainty-quantification
MLA “Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-deep-convolutional-encoderdecoder-networks-for-surrogate-modeling-and-uncertainty-quantification.
BibTeX @misc{4ortxyz_bayesian-deep-convolutional-encoderdecoder-networks-for-surrogate-modeling-and-uncertainty-quantification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-deep-convolutional-encoderdecoder-networks-for-surrogate-modeling-and-uncertainty-quantification}, note = {Accessed: 2026-05-24}}
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