3 citations · 3 across the 1 of their papers we have counts for
2 papers
math.MG2021
The ultrametric Gromov-Wasserstein distance
Facundo Mémoli, Axel Munk, Zhengchao Wan +1
In this paper, we investigate compact ultrametric measure spaces which form a subset of the collection of all metric measure spaces . Similar as for…
math.ST2020★ 3 cited
Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference
Christoph Alexander Weitkamp, Katharina Proksch, Carla Tameling +1
In this paper, we aim to provide a statistical theory for object matching based on the Gromov-Wasserstein distance. To this end, we model general objects as metric measure spaces.…