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Description:: Optimal transport gives structured data a geometry, but exact evaluation is costly in large pairwise analyses that exploit relationships among distances. Learned surrogates are faster, …
Year:: 2026
Contributor:: Lauren Hay (Author); Rishabh Jain (Author); Matt LeBlanc (Author); Jennifer Roloff (Author)
Subject:: Optimal Transport; Large Hadron Collider; Particle Physics; AI/ML; metric spaces; deep sets; neural surrogates
Collection:: Open Publications at Brown

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