Abstract: Diffusion-based generative models transform random noise into images; their inversion aims to transform images back to structured noise that...

Abstract: I will present a polynomial time algorithm to recover planted cliques in the semi random models introduced by Feige...

Abstract: In the first part of this presentation, I'll present a non-asymptotic bound for the spectral norm of a Gaussian...

Abstract: Learning representations that generalize across diverse downstream tasks is a fundamental challenge in machine learning. Contrastive learning, self…