Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective

10 April 2024

Papers citing "Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective"

6 / 6 papers shown

Title
EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale Yiheng Du Aditi Krishnapriyan AI4CE 100 0 0 28 Oct 2025
Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features Yulun Wu Miguel Aguiar Karl H.Johansson Matthieu Barreau 106 0 0 22 Oct 2025
Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure Vahidreza Jahanmard Ali Ramezani-Kebrya Robinson Hordoir AI4CE 64 0 0 10 Oct 2025
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning H. Zhang Chun Kang Yan Wang Difan Zou 201 0 0 27 Sep 2025
Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical SystemsNeural Networks (NN), 2025 Siavash Khodakarami Vivek Oommen Aniruddha Bora George Karniadakis AI4CE 266 15 0 17 Mar 2025
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 344 6 0 07 Jun 2024