The speaker says continuous normalizing-flow training incurs the cost of solving the full ODE from each target sample to the base measure to compute likelihoods for maximum-likelihood training.

“this also comes at a nonzero cost.”

“For training, we need to compute the full O_D_E_ from the target sample back to the base measure every single time, since that is needed to compute the likelihood of the sample for maximum likelihood training.”