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08/20/2023
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery
We propose a new parameter-adaptive uncertainty-penalized Bayesian infor...
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06/26/2022
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
This work is concerned with discovering the governing partial differenti...
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04/29/2021
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
Recently, researchers have utilized neural networks to accurately solve ...
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03/12/2020