A hybrid deep symbolic regression and Gaussian process framework recovers symbolic governing equations along with parameter uncertainties for stochastic nonlinear dynamics from limited noisy data.
Sparse inference and active learning of stochastic differential equations from data.Scientific Reports, 12(1):21691
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A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data
A hybrid deep symbolic regression and Gaussian process framework recovers symbolic governing equations along with parameter uncertainties for stochastic nonlinear dynamics from limited noisy data.