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Persistent homology based characterization of the breast cancer immune microenvironment: a feasibility study
Andrew Aukerman
,
Mathieu Carriere
,
Chao Chen
,
Kevin Gardner
,
Raúl Rabadán
et al.
Journal of Computational Geometry, 2022, Special Issue of Selected Papers from SoCG 2020, 12 (2), pp.183-206
Journal articles
hal-03912324v1
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Topological Data Analysis and its usefulness for precision medicine studies
Raquel Iniesta
,
Ewan Carr
,
Mathieu Carriere
,
Naya Yerolemou
,
Bertrand Michel
et al.
Journal articles
hal-03912322v1
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Structure and Stability of the 1-Dimensional Mapper
Mathieu Carriere
,
Steve Y. Oudot
Journal articles
hal-01633101v2
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Multiparameter Persistence Images for Topological Machine Learning
Mathieu Carriere
,
Andrew J Blumberg
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
Conference papers
hal-03112442v1
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Statistical analysis of Mapper for stochastic and multivariate filters
Mathieu Carriere
,
Bertrand Michel
Journal articles
hal-03912325v1
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Identifying homogeneous subgroups of patients and important features: a topological machine learning approach
Ewan Carr
,
Mathieu Carriere
,
Bertrand Michel
,
Frédéric Chazal
,
Raquel Iniesta
et al.
Journal articles
hal-03368489v1
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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
et al.
Proceedings of Machine Learning Research, 2022, Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, 196, pp.96-106
Journal articles
hal-03867083v1
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Stable topological signatures for points on 3D shapes
Mathieu Carriere
,
Steve Oudot
,
Maks Ovsjanikov
Symposium on Geometry Processing, Jul 2015, Graz, Austria
Conference papers
hal-01203716v2
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Local Equivalence and Intrinsic Metrics Between Reeb Graphs
Mathieu Carriere
,
Steve Y. Oudot
International Symposium on Computational Geometry, Jul 2017, Brisbane, Australia
Conference papers
hal-01633109v1
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A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis
Jacob Leygonie
,
Mathieu Carriere
,
Théo Lacombe
,
Steve Oudot
2021
Preprints, Working Papers, ...
hal-03330940v2
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Efficient Approximation of Multiparameter Persistence Modules
David Loiseaux
,
Mathieu Carriere
,
Andrew Blumberg
2022
Preprints, Working Papers, ...
hal-03689199v1
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Statistical analysis and parameter selection for Mapper
Mathieu Carriere
,
Bertrand Michel
,
Steve Y. Oudot
Journal of Machine Learning Research, 2018
Journal articles
hal-01633106v2
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Optimizing persistent homology based functions
Mathieu Carriere
,
Frédéric Chazal
,
Marc Glisse
,
Yuichi Ike
,
Hariprasad Kannan
et al.
ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Virtual conference, United States. pp.1294-1303
Conference papers
hal-02969305v2
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A General Neural Network Architecture for Persistence Diagrams and Graph Classification
Mathieu Carriere
,
Frédéric Chazal
,
Yuichi Ike
,
Théo Lacombe
,
Martin Royer
et al.
2019
Preprints, Working Papers, ...
hal-02105788v1
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Structure and Stability of the 1-Dimensional Mapper
Mathieu Carriere
,
Steve Oudot
International Symposium on Computational Geometry, Jun 2016, Boston, United States
Conference papers
hal-01247511v1
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Local Signatures using Persistence Diagrams
Mathieu Carriere
,
Steve Oudot
,
Maks Ovsjanikov
2015
Preprints, Working Papers, ...
hal-01159297v2
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Sliced Wasserstein Kernel for Persistence Diagrams
Mathieu Carriere
,
Marco Cuturi
,
Steve Y. Oudot
International Conference on Machine Learning, Aug 2017, Sydney, Australia
Conference papers
hal-01633105v1
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On Metric and Statistical Properties of Topological Descriptors for geometric Data
Mathieu Carriere
Theses
tel-01659347v2
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Topology identifies emerging adaptive mutations in SARS-CoV-2
Michael Bleher
,
Lukas Hahn
,
Juanángel Patiño-Galindo
,
Mathieu Carriere
,
Ulrich Bauer
et al.
2021
Preprints, Working Papers, ...
hal-03368477v1
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Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
Théo Lacombe
,
Yuichi Ike
,
Mathieu Carriere
,
Frédéric Chazal
,
Marc Glisse
et al.
IJCAI 2021 - 30th International Joint Conference on Artificial Intelligence, Aug 2021, Montréal, Canada. ⟨10.24963/ijcai.2021/367⟩
Conference papers
hal-03213188v1
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PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
Mathieu Carriere
,
Frédéric Chazal
,
Yuichi Ike
,
Théo Lacombe
,
Martin Royer
et al.
International Conference on Artificial Intelligence and Statistics, Aug 2020, Virtual, Italy
Conference papers
hal-03112050v1
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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
et al.
2022
Preprints, Working Papers, ...
hal-03560450v1
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