| Sliced Wasserstein Kernel for Persistence Diagrams M Carrière, M Cuturi, S Oudot Proceedings of the 34th International Conference on Machine Learning, 664-673, 2017 | 309 | 2017 |
| 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 | 224 | 2020 |
| Stable Topological Signatures for Points on 3D Shapes M Carrière, S Oudot, M Ovsjanikov Computer Graphics Forum 34 (5), 1-12, 2015 | 150 | 2015 |
| Structure and Stability of the One-dimensional Mapper M Carrière, S Oudot Foundations of Computational Mathematics 18 (6), 1-64, 2017 | 107 | 2017 |
| Statistical Analysis and Parameter Selection for Mapper M Carrière, B Michel, S Oudot Journal of Machine Learning Research 19 (1), 478-516, 2018 | 98 | 2018 |
| Optimizing persistent homology based functions M Carriere, F Chazal, M Glisse, Y Ike, H Kannan, Y Umeda International conference on machine learning, 1294-1303, 2021 | 71 | 2021 |
| Multiparameter persistence image for topological machine learning M Carriere, A Blumberg Advances in Neural Information Processing Systems 33, 22432-22444, 2020 | 64 | 2020 |
| 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 Journal of Computational Geometry 12 (2), 183-206, 2022 | 38 | 2022 |
| 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 | 38 | 2018 |
| Local Equivalence and Intrinsic Metrics between Reeb Graphs M Carrière, S Oudot Proceedings of the International Symposium on Computational Geometry 77, 2017 | 31* | 2017 |
| Topological uncertainty: Monitoring trained neural networks through persistence of activation graphs T Lacombe, Y Ike, M Carriere, F Chazal, M Glisse, Y Umeda arXiv preprint arXiv:2105.04404, 2021 | 28 | 2021 |
| 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 | 22* | 2019 |
| Topological Data Analysis of Single-cell Hi-C Contact Maps M Carrière, R Rabadan Abel Symposium, 2018 | 21 | 2018 |
| 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 | 20 | 2020 |
| RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds T de Surrel, F Hensel, M Carrière, T Lacombe, Y Ike, H Kurihara, M Glisse, ... Topological, Algebraic and Geometric Learning Workshops 2022, 96-106, 2022 | 19 | 2022 |
| Stable vectorization of multiparameter persistent homology using signed barcodes as measures D Loiseaux, L Scoccola, M Carrière, MB Botnan, S Oudot Advances in Neural Information Processing Systems 36, 2024 | 18 | 2024 |
| Persistence representations P Dlotko, M Carriere, M Royer GUDHI User and Reference Manual 3 (1), 2017 | 12 | 2017 |
| Local Signatures using Persistence Diagrams M Carrière, S Oudot, M Ovsjanikov | 12 | 2015 |
| Statistical analysis of Mapper for stochastic and multivariate filters M Carrière, B Michel Journal of Applied and Computational Topology 6 (3), 331-369, 2022 | 10* | 2022 |
| Fast, stable and efficient approximation of multi-parameter persistence modules with MMA D Loiseaux, M Carriere, AJ Blumberg arXiv preprint arXiv:2206.02026, 2022 | 10* | 2022 |