Research Seminar. Neural ODE Part 1

In the first talk, we introduce a Neural ODE and its applications, as well as a simple modification named Augmented Neural ODE. Then we anaylsis the recent articles from NIPS and ICML 2020 about how to correctly teach Neural ODE. We take a look at various regularizations, why the standard backpropagation algorithm for Neural ODE can work poorly due to the accumulation of numerical errors, and how you can deal with it. Click this link to access the presentation