no code implementations • 29 Apr 2024 • Gevik Grigorian, Sandip V. George, Simon Arridge
In this work, we employ a hybrid neural ODE structure, where the system equations are governed by a combination of a neural network and domain-specific knowledge, together with symbolic regression (SR), to learn governing equations of partially-observed dynamical systems.