Despite the recent popularity of neural network-based solvers for optima...
Wasserstein gradient flows provide a powerful means of understanding and...
Optimal transport (OT) is a popular tool in machine learning to compare
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Wasserstein barycenters provide a geometrically meaningful way to aggreg...
Clustering is a fundamental unsupervised learning approach. Many cluster...
Optimal transport (OT) and maximum mean discrepancies (MMD) are now rout...
This short article revisits some of the ideas introduced in arXiv:1701.0...
The ability to compare two degenerate probability distributions (i.e. tw...