Publications

Z. Oulhaj, M. Carrière, B. Michel. Gromov-Wasserstein Bound between Reeb and Mapper Graphs, Preprint, 2025

M. Multari, M. Carrière, X. Amorós-Gabarrón, A. Damy, S. Lobentanzer, J. Saez-Rodriguez, S. Jaubert, A. Dugourd, S. Bottini. A Knowledge Graph and Topological Data Analysis Framework to Disentangle the Tomato-multi Pathogens Complex Gene Regulatory Network, Preprint, 2025

S. Setlur, L. Scoccola, D. Loiseaux, M. Carrière, S. Oudot. Differentiability and Optimization of Multiparameter Persistent Homology, International Conference on Machine Learning (ICML), 2024

Z. Oulhaj, M. Carrière, B. Michel. Differentiable Mapper for Topological Optimization of Data Representation, International Conference on Machine Learning (ICML), 2024

M. Carrière, M. Theveneau, T. Lacombe. Diffeomorphic interpolation for efficient persistence-based topological optimization, To appear in Advances in Neural Information Processing Systems 37 (NeurIPS), 2024

D. Loiseaux, L. Scoccola, M. Carrière, M. Botnan, S. Oudot. Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures, Advances in Neural Information Processing Systems 36 (NeurIPS), 2023

D. Loiseaux, M. Carrière, A. Blumberg. A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions, Advances in Neural Information Processing Systems 36 (NeurIPS), 2023