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fourier neural operator

22 papers

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Also known as

FNO

Co-occurring keywords

partial differential equation (222) neural network (6616) physics simulation (129) neural operator (74) fast fourier transform (46) computational fluid dynamics (22) frequency domain (267) operator learning (48) surrogate model (181) time series forecasting (364)

Papers

Integrating Fourier Neural Operators into High-Fidelity Helicopter Flight Simulation for Real-Time Urban Wind Prediction AAAI 2026
FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators WACV 2026
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies AAAI 2026
DiffFNO: Diffusion Fourier Neural Operator CVPR 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025
One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators ICCV 2025
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients AAAI 2025
Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective NIPS 2024
Derivative-enhanced Deep Operator Network NIPS 2024
Amortized Fourier Neural Operators NIPS 2024
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs JMLR 2023
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere ICML 2023
Neural Inverse Operators for Solving PDE Inverse Problems ICML 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs NIPS 2023
Semi-supervised learning of partial differential operators and dynamical flows UAI 2023
Domain Agnostic Fourier Neural Operators NIPS 2023
Training Deep Surrogate Models with Large Scale Online Learning ICML 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023
Deep Equilibrium Based Neural Operators for Steady-State PDEs NIPS 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries JMLR 2023
On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021