AI RESEARCH
MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems
arXiv CS.LG
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ArXi:2604.06881v1 Announce Type: new Neural operators have emerged as powerful surrogates for dynamical systems due to their grid-invariant properties and computational efficiency. However, the Fourier-based neural operator framework inherently truncates high-frequency components in spectral space, resulting in the loss of small-scale structures and degraded prediction quality at high resolutions when trained on low-resolution data. While diffusion-based enhancement methods can recover multi-scale features, they