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Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Even, Mathieu, Ganassali, Luca, Maier, Jakob, Massoulié, Laurent
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Statistics Theory
Accesso online:	Acceder al recurso
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