1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2024
Kernel Density Estimators in Large Dimensions
Giulio Biroli, Marc Mézard
This paper studies Kernel Density Estimation for a high-dimensional distribution . Traditional approaches have focused on the limit of large number of data points and fix…
cs.LG2024
Dynamical Regimes of Diffusion Models
Giulio Biroli, Tony Bonnaire, Valentin de Bortoli +1
Using statistical physics methods, we study generative diffusion models in the regime where the dimension of space and the number of data are large, and the score function has been…
cond-mat.dis-nn2023★ 1 cited
Eigenvector Dreaming
Marco Benedetti, Louis Carillo, Enzo Marinari +1
Among the performance-enhancing procedures for Hopfield-type networks that implement associative memory, Hebbian Unlearning (or dreaming) strikes for its simplicity and its clear b…