News

I was nominated Visiting Lecturer at Wits University. While my collaboration with Wits is older, I'm very happy to see it formally recognised. With CAandL Lab, we are organising a master-level course on ML theory for year 2026!

I'm very happy to meet with the statistical physics community of the Nordic countries at the Nordic Workshop on Statistical Physics. I'll talk about how StatPhys tools can shed lights on ML problems and in particular about how we can understand bias generation and amplification in ML.

Application for the 3rd edition of Analytical Connectionism! This time we are back to London from Aug 25th to Sep 5th. Application deadline on April 18th.

Great news! We got two papers accepted at ICLR 2025:: 1. On optimal control theory applied to statphys models, and 2. On the impact of initialisation in representation learning.

Happy to present our NeurIPS paper on bias dynamics at the FAIMI Workshop this week!

Back to Cognitive Science. I'm very happy to present this aspect of our research at the workshop At the Crossroads of AI and Cognitive Science, here at Chalmers!

Back to Gothenburg and speaking about the recent Nobel Prizes with Devdatt Dubhashi. Join us!

In Paris to speak at the Informal workshop on the problem of Class Imbalance. I am looking forward to discussing ideas and starting new projects!

Happy to speak at my first workshop in Gothenburg: the CHAIR Structured Learning Workshop.

Exciting news! Congratulations to John Hopfield and Geoffrey Hinton for winning the 2024 Nobel Prize! As part of this community, I can’t help but feel a sense of pride and joy. In these two articles, we discuss the achievement with colleagues both at our division and at GU.

Our paper on bias evolution under SGD dynamics (preprint here) has been accepted to NeurIPS 2024! Congrats everyone and especially Anchit Jain for leading the project!

First day at Chalmers as Assistent Professor!

Today starts the new edition of Analytical Connectionism at the Flatiron Institute in NYC. We have a great set of speakers, TAs and project mentors! Two exciting weeks ahead!

Our paper on transfer learning, probing the dependance of the best source representation on data abundance and similarity, has been accepted to TMLR! Congrats everybody!

I am excited to announce two available positions: one for a PhD student and one for a Postdoc. Click the links to learn more and apply!

I am delighted that our paper on cognitive fatigue has been accepted to CogSci 2024 as an oral contribution!

Last week to apply for the 2nd edition of Analytical Connectionism! Application deadline on Friday 17th.

I'll open soon two positions for a Postdoc and a PhD student, stay tuned!

ICML decisions are out and I got two papers accepted!

I am teaching a short lecture series on Statistical Physics of Learning at Wits University.

I am co-organising the COSYNE Workshop on The geometry & dynamics of learning: Bridging analytical and experimental insights into neural representations.

I'll be visiting Wits University for the next 4 months!

I am visiting the Department of Computing Sciences of Bocconi University thanks to the UK-Italy Trustworthy AI Visiting Researcher Programme.

I am in Santa Barbara at UCSB for the next 6 weeks to follow another great KITP program on Deep Learning from the Perspective of Physics and Neuroscience.

In Paris co-organising a workshop on Analytical Approaches ​for Neural Network Dynamics.