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Mathieu Carrière

French Institute for Research in Computer Science and Automation

14

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462

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Identifying homogeneous subgroups of patients and important features: a topological machine learning approach.

2021 BMC Bioinformatics
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Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study.

2020 SoCG | Symposium on Computational Geometry
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PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures.

2020 AISTATS | International Conference on Artificial Intelligence and Statistics
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On the Metric Distortion of Embedding Persistence Diagrams into separable Hilbert spaces

2019 SoCG | Symposium on Computational Geometry
- Mathieu Carrière
- Ulrich Bauer
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Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis

2019 Bioinformatics
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Statistical analysis and parameter selection for Mapper

2018 Journal of Machine Learning Research
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Sliced Wasserstein Kernel for Persistence Diagrams

2017 ICML | International Conference on Machine Learning
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Local Equivalence and Intrinsic Metrics Between Reeb Graphs

2017 SoCG | Symposium on Computational Geometry
- Mathieu Carrière
- Steve Oudot
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Two-Tier Mapper: a user-independent clustering method for global gene expression analysis based on topology

2017 arXiv: Genomics
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Sliced Wasserstein Kernel for Persistence Diagrams

2017
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Citations (104)