fourier neural operator

Deep Equilibrium Based Neural Operators for Steady-State PDEs NeurIPS 2023 Domain Agnostic Fourier Neural Operators NeurIPS 2023 Factorized Fourier Neural Operators ICLR 2023 Fourier Neural Operator with Learned Deformations for PDEs on General Geometries JMLR 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NeurIPS 2023 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 Neural Inverse Operators for Solving PDE Inverse Problems ICML 2023 Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs JMLR 2023 Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities ICLR 2023 Semi-supervised learning of partial differential operators and dynamical flows UAI 2023 Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere ICML 2023 Training Deep Surrogate Models with Large Scale Online Learning ICML 2023 Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators ICLR 2022 On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021