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!