🔥 Mark your calendars for the next session of the @ellis.eu x UniReps Speaker Series! 🗓️ When: 31th July – 16:00 CEST 📍 Where: ethz.zoom.us/j/66426188160 🎙️ Speakers: Keynote by @pseudomanifold.topology.rocks & Flash Talk by @florentinguth.bsky.social

Next appointment: 31st July 2025 – 16:00 CEST on Zoom with 🔵Keynote: @pseudomanifold.topology.rocks (University of Fribourg) 🔴 @florentinguth.bsky.social (NYU & Flatiron)

What is the probability of an image? What do the highest and lowest probability images look like? Do natural images lie on a low-dimensional manifold? In a new preprint with Zahra Kadkhodaie and @eerosim.bsky.social, we develop a novel energy-based model in order to answer these questions: 🧵

🌈 I'll be presenting our JMLR paper "A rainbow in deep network black boxes" today at 3pm at @iclr-conf.bsky.social! Come to poster #334 if you're interested, I'll be happy to chat More details in the threads on the other website: x.com/FlorentinGut...

A loose thought that's been bubbling around for me recently: when you think of a 'generic' big matrix, you might think of it as being close to low-rank (e.g. kernel matrices), or very far from low-rank (e.g. the typical scope of random matrix theory). Intuition ought to be quite different in each.

Speaking at this #NeurIPS2024 workshop on a new analytic theory of creativity in diffusion models that predicts what new images they will create and explains how these images are constructed as patch mosaics of the training data. Great work by @masonkamb.bsky.social scienceofdlworkshop.github.io

Excited to present work with @jfeather.bsky.social @eerosim.bsky.social and @sueyeonchung.bsky.social today at Neurips! May do a proper thread later on, but come by or shoot me a message if you are in Vancouver and want to chat :) Brief details in post below

I'll be at @neuripsconf.bsky.social from Tuesday to Sunday! Feel free to reach out (Whova, email, DM) if you want to chat about scientific/theoretical understanding of deep learning, diffusion models, or more! (see below) And check out our Sci4DL workshop on Sunday: scienceofdlworkshop.github.io