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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

http://arxiv.org/abs/2608.25145v1