Michal Klein

most citedUnbalanced Low-rank Optimal Transport Solvers

1 citations · 2 across the 2 of their papers we have counts for

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stat.ML2023

Learning Elastic Costs to Shape Monge Displacements

Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin +3

Given a source and a target probability measure supported on $R^{d}$ , the Monge problem asks to find the most efficient way to map one distribution to the other. This effici…

stat.ML2023★ 1 cited

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

Marco Cuturi, Michal Klein, Pierre Ablin

Optimal transport (OT) theory focuses, among all maps $T : R^{d} \to R^{d}$ that can morph a probability measure onto another, on those that are the ``thriftiest…