Bruno Loureiro

I am a CNRS researcher in the DATA team, part of the Centre for Data Science at the École Normale Supérieure in Paris. My work lies at the intersection of machine learning and statistical mechanics. I also serve as a Professeur Attaché at Université Paris Sciences et Lettres (PSL), where I teach in both undergraduate and graduate programs across its affiliated institutions.

If you are interested in my research, you can find a complete list of my publications here.

news

May 01, 2026	Our works: Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models (Spotlight) A Random Matrix Theory of Masked Self-Supervised Regression On the existence of consistent adversarial attacks in high-dimensional linear classification (Spotlight) were accepted for ICML 2026, two of them as spotlights! Come see the talks and posters in Seoul!
Apr 19, 2026	Excited to co-organise the third edition of the Lausanne Event on Machine Learning and Neural Network Theory (LemanTh) from April 20-24 at the Bernouilli Center (EPFL), together with Florent Krzakala.
Feb 06, 2026	Our works: Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime (Oral) Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data (Oral) Statistical Advantage of Softmax Attention: Insights from Single-Location Regression were accepted for ICLR 2026, two of them as orals! Come see the talks and posters in Rio de Janeiro!
Jan 26, 2026	I am co-organising a fourth edition of the PSL Week Statistical Physics and Machine Learning” together with Antoine Maillard. Inscriptions are open!
Jan 09, 2026	I have successfully defended my Habilitation à diriger des recherches (HDR) “Statistical Physics of two-layer neural networks: from kernels to feature learning” in Computer Science ! You can check the manuscript out here.