Limits of Confidence in Diffusion
It is shown that a step matches the training distribution only when the positions it writes are conditionally independent given the tokens already fixed, that no product of per-position distributions can match a dependent group, and that per-position distributions do not determine whether a group is dependent.
Russ Webb, Amitis Shidani, Alice Bizeul et al.
· 1 citation