FNSDA adapts a Fourier neural operator to new dynamical systems by updating about 90 parameters, matching or beating context-based adaptation baselines on four ODE and PDE benchmarks.
Machine learning–accelerated computational fluid dynamics,
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Generalizing to New Dynamical Systems via Frequency Domain Adaptation
FNSDA adapts a Fourier neural operator to new dynamical systems by updating about 90 parameters, matching or beating context-based adaptation baselines on four ODE and PDE benchmarks.