Rank-1 lattice points and hyperbolic crosses are shown to improve the generalization error and efficiency of Fourier neural operators for PDE approximation on the torus.
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Fourier Neural Operators with rank-1 lattice points and hyperbolic cross
Rank-1 lattice points and hyperbolic crosses are shown to improve the generalization error and efficiency of Fourier neural operators for PDE approximation on the torus.