Author

Jiale Liu

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Preprint Aug 2026

DEFT: Data-Efficient Frequency-domain Top-k Sampling via Inverse Discrete Fourier Transform for Spatiotemporal Dynamical Systems Modeling

This work proposes DEFT, a frequency-domain data sampling method that identifies the dominant Fourier modes of a physical system and systematically varies the corresponding amplitudes and phases to generate physically consistent training data via the inverse discrete Fourier transform.

Hengbo Xiao, Jiale Liu, Jia-Hao Song et al. · 0 citations