Introduction to the Wasserstein distance
8:55
An introduction to the Gromov-Hausdorff distance
29:46
Deep Learning 35: (2) Wasserstein Generative Adversarial Network (WGAN): Wasserstein metric
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Optimal Transport and Information Geometry for Machine Learning and Data Science
18:25
The Wasserstein Metric a.k.a Earth Mover's Distance: A Quick and Convenient Introduction
15:20
Estimating the Wasserstein Metric - Jonathan Niles-Weed
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Katharine Turner (12/3/19): Why should q=p in the Wasserstein distance between persistence diagrams?
56:09
Soheil Kolouri - Wasserstein Embeddings in the Deep Learning Era
54:36