Sirani M. Perera

Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains

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…