Sliced Wasserstein Kernel for Persistence Diagrams M Carrière, M Cuturi, S Oudot Proceedings of the 34th International Conference on Machine Learning, 664-673, 2017 | 301 | 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 | 213 | 2020 |
Stable Topological Signatures for Points on 3D Shapes M Carrière, S Oudot, M Ovsjanikov Computer Graphics Forum 34 (5), 1-12, 2015 | 148 | 2015 |
Structure and Stability of the One-dimensional Mapper M Carrière, S Oudot Foundations of Computational Mathematics 18 (6), 1-64, 2017 | 106 | 2017 |
Statistical Analysis and Parameter Selection for Mapper M Carrière, B Michel, S Oudot Journal of Machine Learning Research 19 (1), 478-516, 2018 | 96 | 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 | 68 | 2021 |
Multiparameter persistence image for topological machine learning M Carriere, A Blumberg Advances in Neural Information Processing Systems 33, 22432-22444, 2020 | 60 | 2020 |
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 | 37 | 2018 |
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 | 36 | 2022 |
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 | 27 | 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 | 19 | 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 | 18 | 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 | 12 | 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 |
Topology identifies emerging adaptive mutations in SARS-CoV-2 M Bleher, L Hahn, JÁ Patino-Galindo, M Carriere, U Bauer, R Rabadán, ... medRxiv, 2021.06. 10.21258550, 2021 | 9* | 2021 |