GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications

5 June 2024

Papers citing "GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications"

2 / 2 papers shown

Title
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities Mengwu Guo Andrea Manzoni Maurice Amendt Paolo Conti J. Hesthaven 68 95 0 26 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,254 0 18 Oct 2020