The speaker says a distribution-to-distribution trajectory can be formulated as deterministic optimization by updating density at every point, avoiding a Markov chain process.

“this trajectory from like a f initial distribution to a final distribution, we don't need to do kind of this uh this Markov chain process at all. We can phrase it as just like a pure optimisation problem without any stochasticity by instead kind of updating the density at every point.”