Optimal Transport (OT) has recently emerged as a central tool in data sciences to compare
in a geometrically faithful way point clouds and more generally probability distributions. The …

Recently, Optimal Transport has been proposed as a probabilistic framework in Machine
Learning for comparing and manipulating probability distributions. This is rooted in its rich …

Unsupervised domain adaptation (UDA) aims to transfer the knowledge from a labeled
source domain to an unlabeled target domain. Typically, to guarantee desirable knowledge …

Single-cell data integration can provide a comprehensive molecular view of cells. However,
how to integrate heterogeneous single-cell multi-omics as well as spatially resolved …

Abstract Universal Domain Adaptation (UniDA) aims to transfer knowledge from a source
domain to a target domain without any constraints on label sets. Since both domains may …

To ease the burden of labeling, unsupervised domain adaptation (UDA) aims to transfer
knowledge in previous and related labeled datasets (sources) to a new unlabeled dataset …