no code implementations • 17 Oct 2023 • Antoine Salmona, Julie Delon, Agnès Desolneux
Our first contribution is the Mixture Gromov Wasserstein distance (MGW), which can be viewed as a Gromovized version of MW.
1 code implementation • 29 Jun 2022 • Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux
More precisely, we show that the total variation distance and the Kullback-Leibler divergence between the generated and the data distribution are bounded from below by a constant depending on the mode separation and the Lipschitz constant.
