AI RESEARCH
Isotropic Fourier Neural Operators
arXiv CS.LG
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ArXi:2605.02597v1 Announce Type: new Fourier Neural Operators are deep learning models that learn mappings between function spaces and can be used to learn and solve partial differential equations (PDEs), in some cases significantly faster than traditional PDE solvers. Within the model are Fourier layers, which apply linear transformations directly to the Fourier modes, with parameters depending on the wave numbers.