Gianluigi Silvestri @gisilvs
Joined January 2014-
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New preprint out! Reach out if you are interested, or let's grab a coffee at ICML this week!
New preprint out! Reach out if you are interested, or let's grab a coffee at ICML this week!
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Gianluigi Silvestri retweeted
I am very happy to share our recent work on consistency model led my my brilliant PhD student @gisilvs during his internship at @SonyAI_global in collaboration with @JCJesseLai, @takiko_san and @mittu1204. "Training Consistency Models with Variational Noise Coupling"
Gianluigi Silvestri retweeted
I am very happy to share: " Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion" We study the evolving latent geometry of diffusion by analyzing gaps in the Jacobian spectrum with statistical physics methods Paper: arxiv.org/pdf/2410.05898
Gianluigi Silvestri retweeted
Amazing presentation by Marvin Li on critical windows in diffusion models. A work very closely related to our research on spontaneous symmetry breaking. youtu.be/NbnBmi5k1UQ?si…
Gianluigi Silvestri retweeted
Job alert! I am looking for a talented PhD student to do research on generative diffusion and its connections to statistical physics and memory. Feel free to send me a PM if you need more info! You can apply here: ru.nl/en/working-at/… Otherwise, please retweet!
Gianluigi Silvestri retweeted
An amazing talk by @aaron_lou on diffusion language transformers. Bracing for the era of large language diffusion! youtu.be/_1qv_LNjH9U?si…
Gianluigi Silvestri retweeted
You should follow our Generative Memory Lab channel! Plenty of content on generative models, diffusion models, associative memory! youtube.com/@gemlab3695?si…
Gianluigi Silvestri retweeted
A very insightful presentation about probabilistic Hopfield nets and their link with diffusion models! youtu.be/hK_L9Typ8PM?si…
Another fantastic presentation, this time from @k_neklyudov!! You can watch it here: youtube.com/watch?v=LpqrgV… Thanks @k_neklyudov for the great talk and for answering all our questions 👏🙏!
Gianluigi Silvestri retweeted
Modern Hopfield networks are related to transformers, but did you know that they are mathematically equivalent to generative diffusion models? Happy to share: "In search of dispersed memories: Generative diffusion models are associative memory networks" arxiv.org/abs/2309.17290
Fantastic presentation from @dblueeye on diffusion models with discrete diffusion process 👏👏 very clear explanation and promising results for their 'Blackout Diffusion'. Take a look at the presentation here youtu.be/LnCI7I7FmAA?si…
Kicking off the new series of presentations with a super interesting talk by @aaron_lou on Reflected Diffusion Models! You can watch the recording here: youtube.com/watch?v=smKLUP… Thank you so much @aaron_lou 🙏🙏
My twitter was hacked for the last week, hope nothing too weird happened. I saw a bunch on weird tweets from my profile, that wasn't me!
Last week, @alexmtseng presented his work on branched diffusion models. Very interesting method, I personally found very cool the idea of generation by analogy, called "Transmutation". Thanks Alex for the fantastic presentation 👏! You can watch it here youtube.com/watch?v=56111r…
Thanks @du_yilun for the great presentation 👏👏! Take a look at youtube.com/watch?v=ViBkYH… if you want to learn more about how to use diffusion models for reinforcement learning and planning!
We kicked off 2023 with a fantastic presentation from @hyungjin_chung on Diffusion Models for Inverse Problems! You can watch it here: youtube.com/watch?v=F5S8VB…
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