| Sliced Wasserstein Kernel for Persistence Diagrams M Carrière, M Cuturi, S Oudot Proceedings of the 34th International Conference on Machine Learning, 664-673, 2017 | 118 | 2017 |
| Stable Topological Signatures for Points on 3D Shapes M Carrière, S Oudot, M Ovsjanikov Computer Graphics Forum 34 (5), 1-12, 2015 | 82 | 2015 |
| Structure and Stability of the One-dimensional Mapper M Carrière, S Oudot Foundations of Computational Mathematics 18 (6), 1-64, 2017 | 57 | 2017 |
| Statistical Analysis and Parameter Selection for Mapper M Carrière, B Michel, S Oudot Journal of Machine Learning Research 19 (1), 478-516, 2018 | 39 | 2018 |
| PersLay: a neural network layer for persistence diagrams and new graph topological signatures M Carrière, F Chazal, Y Ike, T Lacombe, M Royer, Y Umeda International Conference on Artificial Intelligence and Statistics, 2786-2796, 2020 | 26* | 2020 |
| Local Equivalence and Intrinsic Metrics between Reeb Graphs M Carrière, S Oudot Proceedings of the International Symposium on Computational Geometry 77, 2017 | 14 | 2017 |
| On the Metric Distortion of Embedding Persistence Diagrams into separable Hilbert spaces M Carrière, U Bauer Proceedings of the International Symposium on Computational Geometry, 2018 | 10* | 2018 |
| Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis R Jeitziner, M Carrière, J Rougemont, S Oudot, K Hess, C Brisken Bioinformatics, 2019 | 9* | 2019 |
| Local Signatures using Persistence Diagrams M Carrière, S Oudot, M Ovsjanikov | 8 | 2015 |
| Persistent homology based characterization of the breast cancer immune microenvironment: a feasibility study A Aukerman, M Carrière, C Chen, K Gardner, R Rabadán, R Vanguri 36th International Symposium on Computational Geometry (SoCG 2020), 2020 | 6 | 2020 |
| Multiparameter persistence image for topological machine learning M Carrière, A Blumberg Advances in Neural Information Processing Systems 33, 2020 | 4 | 2020 |
| Topological Data Analysis of Single-cell Hi-C Contact Maps M Carrière, R Rabadan Abel Symposium, 2018 | 4 | 2018 |
| CGAL 2D Hyperbolic Delaunay Triangulations M Bogdanov, I Iordanov, M Teillaud, M Bogdanov, A Pellé, ... CGAL Editorial Board, 2019 | 3 | 2019 |
| MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data AJ Blumberg, M Carriere, MA Mandell, R Rabadan, S Villar arXiv preprint arXiv:2001.01666, 2020 | 2 | 2020 |
| A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects M Carriere, F Chazal, M Glisse, Y Ike, H Kannan arXiv preprint arXiv:2010.08356, 2020 | 1 | 2020 |
| Approximation of Reeb spaces with Mappers and applications to stochastic filters M Carrière, B Michel arXiv preprint arXiv:1912.10742, 2019 | 1 | 2019 |
| Optimizing persistent homology based functions M Carriere, F Chazal, M Glisse, Y Ike, H Kannan | | 2021 |
| On Metric and Statistical Properties of Topological Descriptors for Geometric Data M Carrière Université Paris-Saclay, 2017 | | 2017 |
| On metric and statistical properties of topological descriptors for geometric data.(Sur les propriétés métriques et statistiques des descripteurs topologiques pour les données … M Carrière | | 2017 |
| Supplementary Material for" Multiparameter Persistence Image for Topological Machine Learning M Carrière, F Biot, AJ Blumberg | | |
