Date/heure
25 mars 2021
10:45 - 11:45
Lieu
Salle de probabilités et statistique virtuelle
Oratrice ou orateur
Yaël Frégier
Catégorie d'évènement Séminaire Probabilités et Statistique
Résumé
In this talk, we will present a new approach to the problem of transfer learning for GANs. It allows training deep neural networks with limited computational resources in the specific context of generative models. We prove rigorously, within the framework of optimal transport, a theorem that ensures the convergence of the learning of the transferred Wasserstein GAN. It is joint work with Jean-Baptiste Gouray