Justin Deschenaux
jdeschena.bsky.social
Justin Deschenaux
@jdeschena.bsky.social
PhD student @EPFL, supervised by Caglar Gulcehre. Casting the forces of gradient descent 🧙‍♂️
Website: https://jdeschena.github.io
Ah, I see, you got me here 😆
December 3, 2024 at 8:33 AM
Where is this paper? I cannot find it
December 3, 2024 at 8:28 AM
Is the paper on ArXiv?
November 28, 2024 at 9:48 PM
@haeggee.bsky.social Is missing from the list 😢
November 22, 2024 at 3:32 PM
Maybe we can set our bluesky handle, in addition to twitter, in our huggingface profile? 👀
November 21, 2024 at 9:55 PM
They have released many of their models, maybe that’s why you thought that? I also thought that the weights were released
November 21, 2024 at 9:33 PM
Amazing repo 🤩 Thank you for including our work ☺️
November 21, 2024 at 9:02 PM
For people coming from an engineering background (ie without a background in SDEs, I feel like the variational diffusion model perspective (arxiv.org/pdf/2107.00630) is relatively intuitive, as then diffusion is kind of a generalized VAE
arxiv.org
November 19, 2024 at 3:23 PM
Thanks for sharing those high quality resources! 🙌
November 19, 2024 at 12:11 PM