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J. Moehlis

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Preprint Aug 2026

Symbolic Neural ODEs: Learning interpretable models from time-series data

Multi-step training of sparse, interpretable models of dynamical systems directly from time-series data yields models with accurate short-term dynamics and strong agreement in long-time statistical properties, including mean, variance, and Lyapunov exponents.

N. Boddupalli, J. Moehlis · 0 citations