14 citations · 30 across the 11 of their papers we have counts for
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stat.ML2022★ 2 cited
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné, Gabriel Peyré, François-Xavier Vialard
Optimal Transport (OT) has recently emerged as a central tool in data sciences to compare in a geometrically faithful way point clouds and more generally probability distributions.…
stat.ML2021★ 2 cited
Unsupervised Ground Metric Learning using Wasserstein Singular Vectors
Geert-Jan Huizing, Laura Cantini, Gabriel Peyré
Defining meaningful distances between samples in a dataset is a fundamental problem in machine learning. Optimal Transport (OT) lifts a distance between features (the "ground metri…