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.
An investigation of transmission control measures during the first 50 days of the covid-19 epidemic in china.Science, 368(6491):638–642, 2020
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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.