NeuPDE learns ODE/PDE models from data by parameterizing the differential equation's right-hand side with a neural network over monomial and derivative features.
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
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NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data
NeuPDE learns ODE/PDE models from data by parameterizing the differential equation's right-hand side with a neural network over monomial and derivative features.