Learning Neural Event Functions for Ordinary Differential Equations — mentioned by orbifold

Fri, 22 Oct 2021 14:32:41 GMT

Ha, yeah I knew that analysis of how to do second order adjoints fast :), in what is basically documentation no less. I figured someone would probably do a ML paper on that eventually. I have had a hard time judging, what is non-trivial in the past, aswell. The next thing that they will probably discover is Jet spaces and Hopf algebras. I'm also slightly salty because a recent paper (https://arxiv.org/pdf/2011.03902.pdf) claimed "Differentiable event handling generalizes many numerical methods that often have specialized methods for gradient computation,...", citing one of our results. We…

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Learning Neural Event Functions for Ordinary Differential Equations · HackerPapers discussions

Learning Neural Event Functions for Ordinary Differential Equations — mentioned by orbifold