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The PDF of the slides used in this presentation can be downloaded here: https://github.com/drozzy/Neural-Ordi...

0:00 - Outline of the presentation
0:38 - Some Cool Results
2:12 - What is a Neural ODE? (Machine Learning Part)
12:15 - Connection to Dynamical Systems
14:26 - Dynamical Systems
20:03 - Pendulum, Example of a Dynamical System
23:22 - Adjoint Method
28:45 - Adjoint Method Proof
30:49 - Gradients w.r.t. theta
32:40 - Complete Backprop Algorithm
34:27 - Concluding Remarks