RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal. RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. In Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf, editors, Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual. Volume 196 of Proceedings of Machine Learning Research, pages 96-106, PMLR, 2022. [doi]

Abstract

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