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· 2022 · arXiv (Cornell University) · DOI 10.48550/arxiv.2203.16797 · arXiv 2203.16797

1 Pith paper cite this work, alongside 58 external citations. Polarity classification is still indexing.

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Bayesian Reasoning for Physics Informed Neural Networks

physics.comp-ph · 2023-08-25 · unverdicted · novelty 5.0

Introduces Laplace-approximated Bayesian PINNs for automatic loss-weight optimization when solving PDEs such as heat, wave, and Burgers equations.

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Bayesian Reasoning for Physics Informed Neural Networks physics.comp-ph · 2023-08-25 · unverdicted · none · ref 27
Introduces Laplace-approximated Bayesian PINNs for automatic loss-weight optimization when solving PDEs such as heat, wave, and Burgers equations.

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