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.
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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.