Joon-Hyuk Ko

Homotopy-based training of NeuralODEs for accurate dynamics discovery

Neural Ordinary Differential Equations (NeuralODEs) present an attractive way to extract dynamical laws from time series data, as they bridge neural networks with the differential equation-based modeling paradigm of the physical sciences. However, these models often display long training times and s…