Show notes
In this episode I got to chat with the incredibly wonderful Dr Keyan Miao about the fascinating work she’s done on neural ODEs. We discuss applying control theoretic tools to optimise neural ODEs, as well as their use for both controller and observer design. And in case that wasn’t already enough we also touch on dissipativity, Koopman operators, and reinforcement learning!
You can find the transcript for this episode at: https://docs.google.com/document/d/1iI0swQSnNEqgGQgf7og8udRV3IBCXbbfEkLFlolGxEU/edit?usp=sharing
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