general
fact
neutral
Gromov-Wasserstein pointwise comparison can be too sensitive in one-to-many settings where several target outcomes refine one source state
This pointwise comparison can be too sensitive in one-to-many settings, where several target outcomes refine one source state and their mean carries the geometry of interest.
Machine Learning (Statistics)29 Aug 2026