2 papers
math.OC2025
Quantitative convergence for mean field control with common noise and degenerate idiosyncratic noise
Alekos Cecchin, Samuel Daudin, Joe Jackson +1
We consider the convergence problem in the setting of mean field control with common noise and degenerate idiosyncratic noise. Our main results establish a rate of convergence of t…
cs.LG2024
Latent Abstractions in Generative Diffusion Models
Giulio Franzese, Mattia Martini, Giulio Corallo +2
In this work we study how diffusion-based generative models produce high-dimensional data, such as an image, by implicitly relying on a manifestation of a low-dimensional set of la…