deschaussures147 t1_iv42uj6 wrote on November 5, 2022 at 3:15 AM

Reply to comment by tfburns in [D] ICLR review today? by flyingggToasttt

Yes I completely forgot... Incidentally ICML22 reviewing is a big mess as well.

deschaussures147 t1_iv3m4yz wrote on November 5, 2022 at 12:54 AM

Reply to comment by Sufficient_Flight876 in [D] ICLR 2023 reviews are out. How was your experience ? by dasayan05

They can do that freely during the reviewing period, but if you want an honest answer I won't put too much hope into the submission with your current score :D

deschaussures147 t1_iv32osj wrote on November 4, 2022 at 10:23 PM

Reply to [D] ICLR review today? by flyingggToasttt

I've never heard about delayed reviews before for ML venues, both as reviewer and author of submissions, so I think it will be released soon.

Edit: reviews are out!

deschaussures147 t1_iukad3s wrote on October 31, 2022 at 11:46 PM

Reply to [D] Diffusion vs MCMC as sampling algorithms by ZeronixSama

The answer is yes, there is a strong connection between the SDE using in sampling for diffusion models and MCMC. For this there are already some theoretical results in the convergence of the sampling in diffusion models, e.g. :

This NeuRIPS 22 paper: https://arxiv.org/abs/2206.06227
https://arxiv.org/abs/2209.11215

Edit: see my other reply as well.