Stochastic Adaptive Fourier Decomposition for Operator Learning
Across nine PDE benchmark problems, SAFDNO achieves the best performance on all six regular-grid problems among strong neural operator baselines, with especially notable gains on Darcy, Burgers, and Navier-Stokes, where fixed Fourier modes are often less effective at modeling localized oscillations, sharp transitions,...
Peng Shi, Li-Ming Zhang, Tao Qian et al.
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