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Marc Glisse

15

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fchazal

	RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds Felix Hensel , Marc Glisse , Frédéric Chazal , Thibault de Surrel , Mathieu Carriere Proceedings of Machine Learning Research, 2022, Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, 196, pp.96-106 Article dans une revue hal-03867083v1
	DTM-based Filtrations Hirokazu Anai , Frédéric Chazal , Marc Glisse , Yuichi Ike , Hiroya Inakoshi Abel Symposia, 2020, Topological Data Analysis, 15, pp.33-66. ⟨10.1007/978-3-030-43408-3_2⟩ Article dans une revue hal-01919562v3
	Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis Frédéric Chazal , Marc Glisse , Catherine Labruère , Bertrand Michel Journal of Machine Learning Research, 2015, 16, pp.3603-3635. ⟨10.5555/2789272.2912112⟩ Article dans une revue hal-01284275v1
	Metric Graph Reconstruction From Noisy Data Mridul Aanjaneya , Frédéric Chazal , Daniel Chen , Marc Glisse , Leonidas J. Guibas International Journal of Computational Geometry and Applications, 2012, 22 (4), pp.305-325. ⟨10.1142/S0218195912600072⟩ Article dans une revue hal-01094867v1

	RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds Thibault de Surrel , Felix Hensel , Mathieu Carriere , Théo Lacombe , Yuichi Ike ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Apr 2022, Virtual conference, United States Communication dans un congrès hal-03560450v1
	Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs Théo Lacombe , Yuichi Ike , Mathieu Carriere , Frédéric Chazal , Marc Glisse IJCAI 2021 - 30th International Joint Conference on Artificial Intelligence, Aug 2021, Montréal, Canada. pp.2666-2672, ⟨10.24963/ijcai.2021/367⟩ Communication dans un congrès hal-03213188v1
	Optimizing persistent homology based functions Mathieu Carriere , Frédéric Chazal , Marc Glisse , Yuichi Ike , Hariprasad Kannan ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Virtual conference, United States. pp.1294-1303 Communication dans un congrès hal-02969305v2
	DTM-based Filtrations Hirokazu Anai , Frédéric Chazal , Marc Glisse , Yuichi Ike , Hiroya Inakoshi SoCG 2019 - 35th International Symposium on Computational Geometry, Jun 2019, Portland, United States. pp.58:1--58:15, ⟨10.4230/LIPIcs.SoCG.2019.58⟩ Communication dans un congrès hal-02093445v1
	Convergence rates for persistence diagram estimation in Topological Data Analysis. Frédéric Chazal , Marc Glisse , Catherine Labruère , Bertrand Michel 31st International Conference on Machine Learning, Jun 2014, Beijing, China. pp.163-171 Communication dans un congrès hal-01073072v1
	Metric graph reconstruction from noisy data Mridul Aanjaneya , Frédéric Chazal , Daniel Chen , Marc Glisse , Leonidas J. Guibas 27th Annual Symposium on Computational Geometry, 2011, Paris, France. pp.37-46, ⟨10.1145/1998196.1998203⟩ Communication dans un congrès inria-00630774v1
	Proximity of persistence modules and their diagrams Frédéric Chazal , David Cohen-Steiner , Marc Glisse , Leonidas Guibas , Steve Y. Oudot SoCG 2009 - 25th Annual Symposium on Computational Geometry, Jun 2009, Aarhus, Denmark. pp.10, ⟨10.1145/1542362.1542407⟩ Communication dans un congrès hal-02292996v1

	The Structure and Stability of Persistence Modules Frédéric Chazal , Steve Y. Oudot , Marc Glisse , Vin de Silva Springer Verlag, pp.VII, 116, 2016, SpringerBriefs in Mathematics, 978-3-319-42543-6. ⟨10.1007/978-3-319-42545-0⟩ Ouvrages hal-01330678v1

	Optimal rates of convergence for persistence diagrams in Topological Data Analysis Frédéric Chazal , Marc Glisse , Catherine Labruère , Bertrand Michel 2013 Pré-publication, Document de travail hal-00827162v1
	The structure and stability of persistence modules Frédéric Chazal , Vin de Silva , Marc Glisse , Steve Oudot 2012 Pré-publication, Document de travail hal-01107617v1

	Proximity of Persistence Modules and their Diagrams Frédéric Chazal , David Cohen-Steiner , Marc Glisse , Leonidas J. Guibas , Steve Oudot [Research Report] RR-6568, INRIA. 2008, pp.29 Rapport inria-00292566v4