iiinova — where your digital self keeps evolving

Reposted by Lenka Zdeborová

Ben Waber @bwaber.bsky.social · 10/03/2026

Next was a fantastic talk by @zdeborova.bsky.social on investigating the foundations of generalization in attention-based models at the @kempnerinstitute.bsky.social. Highly recommend www.youtube.com/watch?v=hECI... (3/7)

youtube.com

Generalization in Attention-Based Models with Lenka Zdeborová

YouTube video by Kempner Institute at Harvard University

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ELLIS @ellis.eu · 19/11/2025

Get to know @zdeborova.bsky.social, Assoc Prof at EPFL🇨🇭. She’s an ELLIS Fellow, in ELLIS Unit Lausanne (@epfl-ai-center.bsky.social) & Program Quantum & Physics Based ML. She works at the intersection of statistical physics, machine learning, and high-dimensional statistics. #WomenInELLIS

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GRETSI info (Laurent DUVAL, admin.) @gretsi-info.bsky.social · 03/10/2025

#GRETSI2025, #EUSIPCO2025 sont terminés, la soumission à #ICASSP révolue, il fait gris. Abonner-vous à la chaîne YouTube #GRETSI @gretsi6095, et visionnez par exemple Lenka Zdeborova (Professeur EPFL), "Apprentissage (profond) et Physique Statistique" youtu.be/yLFQUuVcC_0?...

youtu.be

GRETSI 2022 - Apprentissage (profond) et Physique Statistique

YouTube video by GRETSI

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Lenka Zdeborová @zdeborova.bsky.social · 30/09/2025

Would you like to come to my lab for a postdoctoral position? Apply for the EPFL AI Centre fellowship: epfl.ch/research/fun.... FYI, I have funding (ERC & Simon's collaboration) also for 1-2 top candidates who will not secure the fellowship. Same for @krzakalaf.bsky.social lab.

epfl.ch

EPFL AI Center and Swiss AI Initiative Postdoctoral Fellowships

The 2nd call is now open with a deadline for submissions of 3 November (17.00 CET)!Applications are encouraged from researchers at the postdoctoral level with a keen interest in collaborative, interdi...

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Lenka Zdeborová @zdeborova.bsky.social · 30/09/2025

Scaling laws don’t just show up in test error — they leave fingerprints in the weight spectrum. In the feature learning regime, we map this connection: phase diagrams of scaling exponents <-> spectral signatures of trained weights. The paper is: arxiv.org/abs/2509.24882

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CNRS @cnrs.fr · 11/09/2025

#Communiqué 🗞️ La médaille d'or 2025 du CNRS est décernée à Stéphane Mallat, mondialement reconnu pour ses travaux autour des mathématiques appliquées au traitement du signal et à l’intelligence artificielle. 👏 👉 cnrs.fr/fr/presse/en... #TalentsCNRS 🏅

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Simons Foundation @simonsfoundation.org · 06/09/2025

Led by @stanford.edu's @suryaganguli.bsky.social, our Simons Collaboration on the Physics of Learning & Neural Computation will study AI's fundamental scientific principles: www.simonsfoundation.org/simons-foundation-launches-collaboration-on-the-physics-of-learning-and-neural-computation/ #science

simonsfoundation.org

Simons Foundation Launches Collaboration on the Physics of Learning and Neural Computation

Simons Foundation Launches Collaboration on the Physics of Learning and Neural Computation on Simons Foundation

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Paolo De Los Rios @paolodelosrios.bsky.social · 21/08/2025

A no-miss opportunity to join EPFL. We are a vibrant (had to use it 😉) community working in all branches of basic sciences and engineering, and interdisciplinary studies are strongly encouraged. If you want more information, contact the committee heads, or feel free to DM me. tinyurl.com/bd27ky7p

tinyurl.com

Assistant/associate Professor of AI-assisted Biophysics at the Ecole polytechnique fédérale de Lausanne (EPFL) and Group Leader at the Paul Scherrer Institute (PSI)

The School of Basic Sciences (Physics, Chemistry and Mathematics) at EPFL and the Paul Scherrer Institute (PSI) jointly seek to appoint a Tenure Track Assistant or tenured Associate Professor in AI-As...

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Reposted by Lenka Zdeborová

Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 12/08/2025

Today's presentation was given by Andrew Saxe, University College London "Models of representation learning dynamics " during the conference organized by @krzakalaf.bsky.social & @zdeborova.bsky.social EPFL Université de Corse Université Côte d'Azur @cnrs-dr12.bsky.social

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Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 13/08/2025

This morning, Praya Sur from @harvard.edu gave her presentation "Two problems at the intersection of statistics and machine learning: Calibration and Data Integration" during the conference organized by @krzakalaf.bsky.social & @zdeborova.bsky.social

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Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 14/08/2025

Brice Huang, from Stanford University gave a talk this morning at @iescargese.bsky.social about "Spins Glass, Algorithms, and Inference" during the conference organized by@krzakalaf.bsky.social & @zdeborova.bsky.social @icepfl.bsky.social@cnrs-dr12.bsky.social #statisticalPhysic #MachineLearning

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Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 11/08/2025

Saturday, during the conference organized by @krzakalaf.bsky.social & @zdeborova.bsky.social, M. Yue Lu @harvard.edu gave a talk about " Gaussian Equivalence for Nonlinear random matrices:Why it works, and where it fails" @icepfl.bsky.social Université Côte d’Azur Université de Corse

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Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 12/08/2025

Peter Bartlett UCBerkeley gave a talk yesterday at @iescargese.bsky.social about "Optimization in neural nets, large steps size and implicit bias" during the conference organized by @krzakalaf.bsky.social & @zdeborova.bsky.social @icepfl.bsky.social #statisticalPhysic #MachineLearning

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Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 07/08/2025

Presentation on Thursday, August 7, given by Bruno Loureiro, ENS Paris, on “An overview on Gaussian Multi-Index Model" during the conference organized at IES Cargese by @krzakalaf.bsky.social & @zdeborova.bsky.social EPFL Université Côte d’Azur Université de Corse @cnrs-dr12.bsky.social

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Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 04/08/2025

From August 05 to August 15, l'IES Cargese will be hosting "Statisticial Physic and Machine Learning : Moving Forward" organized by Florent Krzakala & Lenka Zdeborova @krzakalaf.bsky.social @zdeborova.bsky.social Université de Corse Université Côte d'Azur @cnrs-dr12.bsky.social @icepfl.bsky.social

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Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 05/08/2025

First talk today, given by @giuliobiroli.bsky.social, @lpens-phys.bsky.social on “Statistical physics and diffusion models” during the conference “Statistical physics and machine learning: Moving forward” organized at IES Cargese by @krzakalaf.bsky.social & @zdeborova.bsky.social

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Institut d'Etudes Scientifiques de Cargèse @iescargese.bsky.social · 06/08/2025

Today at the IES Cargese during conference “Statistical Physics & Machine Learning: Moving Forward”, Michael M. Bronstein, @mmbronstein.bsky.social @ox.ac.uk #AITHYRA, gave a presentation on “Geometric Deep Learning”. @krzakalaf.bsky.social & @zdeborova.bsky.social

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EPFL School of Computer and Communication Sciences @icepfl.bsky.social · 17/06/2025

🎉 Congratulations to Anastasia Ailamaki, Mathias Payer, Lenka Zdeborová & Pascal Fua for receiving Advanced Grants for research in data systems, security, neural networks & computer-assisted engineering, a record 4 awards for EPFL’s IC School! 🏆 🔗 Learn more: news.epfl.ch/news/ic-rese...

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Lenka Zdeborová @zdeborova.bsky.social · 08/05/2025

While I contributed to this line of work and to this piece; I’m quite sure that modern AI would exist even without Hopfield and Hinton. There is a huge community behind each influential concept, and while prizes are given to individuals, it is the community that creates the science.

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Marco Mancastroppa @marco-mancastroppa.bsky.social · 07/05/2025

Towards StatPhys2025: interview with @zdeborova.bsky.social (EPFL) by Franco Bagnoli (Dept. Physics and Astronomy, University of Florence & Caffè-Scienza). youtu.be/hplPGzFSRyo

youtu.be

Interview with Lenka Zdeborova

YouTube video by fisica di tutti i giorni

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Lenka Zdeborová @zdeborova.bsky.social · 31/03/2025

Happy to share the recording of my plenary talk at Cosyne 2025 two days ago. You will learn about the statistical physics approach, phase transitions in learning, transformers, sequence models, attention etc. www.youtube.com/watch?v=PurZ...

youtube.com

Cosyne 2025 - Session 6: Neural network theory

YouTube video by Cosyne Talks

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Lenka Zdeborová @zdeborova.bsky.social · 22/02/2025

Excited about our progress in characterizing The Computational Advantage of Depth in Learning with Neural Networks. Check out the number of samples that can be saved when GD runs on a multi-layer rather than on a two-layer neural network. arxiv.org/pdf/2502.13961

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Lenka Zdeborová @zdeborova.bsky.social · 29/01/2025

The series of three Simons Lectures I gave in MIT Math last April is now on YouTube. If you want to hear about *Computation through the lens of spin glasses*, have a look: www.youtube.com/embed/94XXGG...

youtube.com

Simons Lectures

YouTube video by MIT Department of Mathematics

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Antoine Bosselut @abosselut.bsky.social · 26/11/2024

EPFL's new AI Center has a Call for applications for postdoc fellowships in all AI-related areas. Come join if you're interested in working with me and fantastic AI colleagues! Extra Perk: We actually do have lots of GPUs ! Deadline: November 29th More info at: www.epfl.ch/research/fun...

epfl.ch

EPFL AI Center Postdoctoral Fellowships

The EPFL AI Center Postdoctoral Fellowship call for proposals is now open with a deadline on 29 November 2024 (17:00 CET).Applications are encouraged from researchers at the postdoctoral level with a ...

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Lenka Zdeborová @zdeborova.bsky.social · 24/11/2024

I am doing just that since about a decade! No Elsevier no Nature/Springer I do not review for them, do not publish there. I refused a couple of editorial boards with them, numerous special issue invitations. If a young colleague writes in their cv this is their moral code I would deeply respect it.

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Lenka Zdeborová @zdeborova.bsky.social · 22/11/2024

Our advance in statistical physics analysis of simple graph convolutional neural networks arxiv.org/pdf/2402.03818 will appear at the Learning on Graphs conference: logconference.org. My student Odilon has now extended this to the multi-layer case, so more is coming soon.

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