iiinova — where your digital self keeps evolving

Reposted by Florentin Guth

Gabriel Peyré @gabrielpeyre.bsky.social · 07/08/2026

The Mathematical Nexus brings together 800 animated vignettes and 140 accompanying Python notebooks, encompassing most of the mathematical content I have shared on social media. www.gpeyre.com/mathematical...

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Florentin Guth @florentinguth.bsky.social · 01/08/2026

I'm late to the party, but I loved @randomwalker.bsky.social's annotated ICML keynote slides. He clearly puts into words so many vague thoughts I had (and didn't have). Highly recommended! It's a great preparation to answer my relatives’ actual questions about AI, unlike my own work 😅

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Reposted by Florentin Guth

Pierre-Etienne Fiquet @pfiquet.bsky.social · 31/03/2026

Applications are open for the Junior Theoretical Neuroscientists Workshop which will take place July 21-24, 2026 at the Center for Computational Neuroscience, @flatironinstitute.org Travel, lodging, and meals will be covered for accepted participants. Application deadline: April 15, 2026

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Antonio Sclocchi @antoniosclocchi.bsky.social · 21/01/2026

📣 Excited to co-organize the 2nd Workshop on Scientific Methods for Understanding Deep Learning at ICLR in Rio de Janeiro, Brazil (April 26 or 27, 2026)!! 🔎🤖 🇧🇷 If you work on the why/how of deep learning, we are looking forward to reading your submission! 👇 #ICLR2026 #Sci4DL

scienceofdlworkshop.github.io

Call for Papers | SciForDL

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Florentin Guth @florentinguth.bsky.social · 02/12/2025

I'll be in #NeurIPS2025 Dec 3-7, do reach out (atconf/email) if you want to chat (see below)! I'm on the faculty job market 👀 Come say hi to @zahra-kadkhodaie.bsky.social @eerosim.bsky.social and I at our poster on energy-based models Fri 11am #3700 (thread in quoted post) bsky.app/profile/flor...

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NYU Center for Data Science @nyudatascience.bsky.social · 17/10/2025

CDS Faculty Fellow @florentinguth.bsky.social, CDS PhD alum Zahra Kadkhodaie, & CDS Professor @eerosim.bsky.social, in a NeurIPS 2025 paper, estimate image probability directly & discover natural images differ in probability by factors of up to 10^14,000. nyudatascience.medium.com/when-ai-lear...

nyudatascience.medium.com

When AI Learns What Makes an Image Probable, Simple Beats Complex by 10¹⁴⁰⁰⁰

Natural images vary in probability by up to 10¹⁴⁰⁰⁰, CDS researchers find, challenging assumptions about how images are structured.

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Reposted by Florentin Guth

UniReps @unireps.bsky.social · 23/07/2025

🔥 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

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UniReps @unireps.bsky.social · 10/07/2025

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

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Florentin Guth @florentinguth.bsky.social · 06/06/2025

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: 🧵

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Florentin Guth @florentinguth.bsky.social · 25/04/2025

🌈 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...

x.com

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Sam Power @spmontecarlo.bsky.social · 10/04/2025

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.

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Surya Ganguli @suryaganguli.bsky.social · 14/12/2024

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

scienceofdlworkshop.github.io

SciForDL'24

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Teddy Yerxa @tedyerxa.bsky.social · 12/12/2024

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

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Florentin Guth @florentinguth.bsky.social · 09/12/2024

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

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