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20202026
most citedA Machine Learning Framework for Computing the Most Probable Paths of Stochastic Dynamical Systems

31 citations · 31 across the 6 of their papers we have counts for

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stat.ML2024

An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas

Yang Li, Shengyuan Xu, Jinqiao Duan

Discovering explicit governing equations of stochastic dynamical systems with both (Gaussian) Brownian noise and (non-Gaussian) Lévy noise from data is chanllenging due to possible…