Training Neural ODEs Using Fully Discretized Simultaneous Optimization

Mariia Shapovalova, Calvin Tsay

Neural Ordinary Differential Equations (Neural ODEs) represent continuous-time dynamics with neural networks, offering advancements for modeling and control tasks. However, trainin…