CAFE+FNO: Fourier Kernel Generation via Multiplicative Feature Composition
The Fourier Neural Operator (FNO) learns solution operators of partial differential equations (PDEs) through Fourier-space kernel parameterization, but frequency truncation can limit the learning of high-frequency variations. AM-FNO and SirenFNO generate kernels for all grid modes from spectral coordinates using shared...
Hyungjoon Juen, Min-Woo Shin
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