3 papers
cs.LG2025
Heavy-Tailed Diffusion with Denoising Lévy Probabilistic Models
Dario Shariatian, Umut Simsekli, Alain Durmus
Exploring noise distributions beyond Gaussian in diffusion models remains an open challenge. While Gaussian-based models succeed within a unified SDE framework, recent studies sugg…
stat.ML2025
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche, Paul Viallard, Umut Simsekli +1
Modern machine learning usually involves predictors in the overparameterised setting (number of trained parameters greater than dataset size), and their training yields not only go…
stat.ML2024
Piecewise deterministic generative models
Andrea Bertazzi, Dario Shariatian, Umut Simsekli +2
We introduce a novel class of generative models based on piecewise deterministic Markov processes (PDMPs), a family of non-diffusive stochastic processes consisting of deterministi…