KI Seminar (online)

The quadratically regularized optimal transport problem (QOT) has emerged in the literature as a sparse alternative to entropic …

What happens to Wasserstein gradient flows if one uses entropic optimal transport instead of classical optimal transport? I will …

Optimal transport operates on empirical distributions which may contain acquisition artifacts, such as outliers or noise, thereby …

Density functional theory (DFT) is one of the workhorses of quantum chemistry and material science. In principle, the joint probability …

The Gromov-Wasserstein (GW) distance quantifies dissimilarity between metric measure (mm) spaces and provides a natural alignment …

I will try to present an overview of some results of unbalanced optimal transport for positive measures with different total masses, …

Shifted divergences provide a principled way of making information theoretic divergences (e.g. KL) geometrically aware via optimal …

Deep learning-based approaches have succeeded surprisingly in various fields of sciences. In particular, one of the first and most …

In this talk, we introduce some recent regularity results of free boundary in optimal transportation. Particularly for higher order …