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We propose the Factorized Fourier Neural Operator (F-FNO), a learning-based approach for simulating partial differential equations (PDEs).
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On universal approximation and error bounds for fourier neural operators
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Neural operator: Learning maps between function spaces
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Fourier neural operator for parametric partial differential equations
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