2024
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
Levi E. Lingsch, Mike Yan Michelis, Emmanuel de Bezenac, Sirani M. Perera, Robert K. Katzschmann, Siddhartha Mishra
ICML 2024poster
The computational efficiency of many neural operators, widely used for learning solutions of PDEs, relies on the fast Fourier transform (FFT) for performing spectral computations. As the FFT is limited to equispaced (rectangular) grids, this limits the efficiency of such neural operators when applie…