James Thornton
jamesthornton.bsky.social
James Thornton
@jamesthornton.bsky.social
Research scientist at Google DeepMind. Creating noise from data.
I know it’s only cifar10 but sota fid without any mini batch OT was already < 2 with 35nfe back in 2022.

Are you sure this makes any difference in the competitive setting? Seems like choosing hyper params makes more of a difference

arxiv.org/abs/2206.00364
June 16, 2025 at 11:18 AM
I have tried and works well in practice, it’s a bit similar to initialising reflow from a bridge or diffusion; and is similar to annealed Rf of arxiv.org/abs/2407.12718

You can also use the flow of the SB, we wrote the details here but didn’t investigate much (this was 2020/2021)
February 8, 2025 at 6:07 PM
Using the same straightness metric as the original RF paper, can show reflow / imf helps.

FM-“OT” and minibatch “OT” do not result in straight paths and hence not OT
February 7, 2025 at 8:42 PM