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hal-01633105v1  Conference papers
Mathieu CarriereMarco CuturiSteve Y. Oudot. Sliced Wasserstein Kernel for Persistence Diagrams
International Conference on Machine Learning, Aug 2017, Sydney, Australia
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hal-01633109v1  Conference papers
Mathieu CarriereSteve Y. Oudot. Local Equivalence and Intrinsic Metrics Between Reeb Graphs
International Symposium on Computational Geometry, Jul 2017, Brisbane, Australia
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hal-01633101v2  Journal articles
Mathieu CarriereSteve Y. Oudot. Structure and Stability of the 1-Dimensional Mapper
Foundations of Computational Mathematics, Springer Verlag, 2017, pp.1-64. ⟨10.1007/s10208-017-9370-z⟩
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hal-01633106v2  Journal articles
Mathieu CarriereBertrand MichelSteve Y. Oudot. Statistical analysis and parameter selection for Mapper
Journal of Machine Learning Research, Microtome Publishing, 2018
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hal-03213188v1  Conference papers
Théo LacombeYuichi IkeMathieu CarriereFrédéric ChazalMarc Glisse et al.  Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
2021 International Joint Conference on Artificial Intelligence, Aug 2021, Montréal, Canada
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hal-03112442v1  Conference papers
Mathieu CarriereAndrew Blumberg. Multiparameter Persistence Images for Topological Machine Learning
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
hal-01247511v1  Conference papers
Mathieu CarriereSteve Oudot. Structure and Stability of the 1-Dimensional Mapper
International Symposium on Computational Geometry, Jun 2016, Boston, United States
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hal-01203716v2  Conference papers
Mathieu CarriereSteve OudotMaks Ovsjanikov. Stable topological signatures for points on 3D shapes
Symposium on Geometry Processing, Jul 2015, Graz, Austria