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20182023
most citedB-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data

1.2k citations · 1.5k across the 15 of their papers we have counts for

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Showing 2021Show all

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cs.LG2021★ 61 cited

Learning Functional Priors and Posteriors from Data and Physics

Xuhui Meng, Liu Yang, Zhiping Mao +2

We develop a new Bayesian framework based on deep neural networks to be able to extrapolate in space-time using historical data and to quantify uncertainties arising from both nois…

cs.LG2021★ 1 cited

Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates

Liu Yang, Tingwei Meng, George Em Karniadakis

We propose a simple but effective modification of the discriminators, namely measure-conditional discriminators, as a plug-and-play module for different GANs. By taking the generat…