Search Results for author: Haydn Maust

Found 1 papers, 0 papers with code

Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators

no code implementations29 Nov 2022 Haydn Maust, Zongyi Li, YiXuan Wang, Daniel Leibovici, Oscar Bruno, Thomas Hou, Anima Anandkumar

The physics-informed neural operator (PINO) is a machine learning architecture that has shown promising empirical results for learning partial differential equations.

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