48 citations · 56 across the 13 of their papers we have counts for
6 papers · 1 filter
Numerical investigation of the equilibrium Kauzmann transition in a two-dimensional atomistic glass
Gerhard Jung, Misaki Ozawa, Giulio Biroli +1
Dense liquids gradually transform into non-equilibrium amorphous solids as they pass through the experimental glass transition. Experimentally, ergodicity is lost because measureme…
Eigenvalue spectral tails and localization properties of asymmetric networks
Pietro Valigi, Joseph W. Baron, Izaak Neri +2
In contrast to the neatly bounded spectra of densely populated large random matrices, sparse random matrices often exhibit unbounded eigenvalue tails on the real and imaginary axis…
Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training
Tony Bonnaire, Raphaël Urfin, Giulio Biroli +1
Diffusion models have achieved remarkable success across a wide range of generative tasks. A key challenge is understanding the mechanisms that prevent their memorization of traini…
A Differentiable Rank-Based Objective For Better Feature Learning
Krunoslav Lehman Pavasovic, David Lopez-Paz, Giulio Biroli +1
In this paper, we leverage existing statistical methods to better understand feature learning from data. We tackle this by modifying the model-free variable selection method, Featu…
Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms
Krunoslav Lehman Pavasovic, Jakob Verbeek, Giulio Biroli +1
Classifier-Free Guidance (CFG) is a widely adopted technique in diffusion and flow-based generative models, enabling high-quality conditional generation. A key theoretical challeng…
Optimizing Noise Schedules of Generative Models in High Dimensionss
Santiago Aranguri, Giulio Biroli, Marc Mezard +1
Recent works have shown that diffusion models can undergo phase transitions, the resolution of which is needed for accurately generating samples. This has motivated the use of diff…