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20082026
most citedPhysics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data

1.1k citations · 1.4k across the 43 of their papers we have counts for

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stat.ML2022★ 4 cited

Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems

Sebastian Kaltenbach, Paris Perdikaris, Phaedon-Stelios Koutsourelakis

Neural Operators offer a powerful, data-driven tool for solving parametric PDEs as they can represent maps between infinite-dimensional function spaces. In this work, we employ phy…