Search Results for author: Eugène Ndiaye

Found 1 papers, 0 papers with code

Learning Elastic Costs to Shape Monge Displacements

no code implementations20 Jun 2023 Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi

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

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