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I have been reading the neural ODE paper and I understand that neural ODEs have continuous depth model structure. And I understand the fact that they are especially very useful for time-series data. But from the benefits of neural ODEs stated in the paper, I can't understand what they mean by adaptive computation. Can anyone please explain to me? Thanks!

This is more a topic for scicomp.SE or the machine learning platform. A question here could be about problems while implementing examples from the paper, but even that is a better topic for ai.SE.Lutz Lehmann
@LutzLehmann Noted. Thanks!Bela