17 citations · 28 across the 6 of their papers we have counts for
3 papers · 1 filter
Entropy-Regularized -Wasserstein Distance between Gaussian Measures
Anton Mallasto, Augusto Gerolin, Hà Quang Minh
Gaussian distributions are plentiful in applications dealing in uncertainty quantification and diffusivity. They furthermore stand as important special cases for frameworks providi…
A Formalization of The Natural Gradient Method for General Similarity Measures
Anton Mallasto, Tom Dela Haije, Aasa Feragen
In optimization, the natural gradient method is well-known for likelihood maximization. The method uses the Kullback-Leibler divergence, corresponding infinitesimally to the Fisher…
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Anton Mallasto, Søren Hauberg, Aasa Feragen
Latent variable models (LVMs) learn probabilistic models of data manifolds lying in an \emph{ambient} Euclidean space. In a number of applications, a priori known spatial constrain…