Mathieu Carrière

Institut national de recherche en informatique et en automatique — France

Computer Science · Physical Sciences

7h-index195citations30works0.52yr avg
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Research Topics

Topological and Geometric Data Analysis(19), Cell Image Analysis Techniques(8), Bioinformatics and Genomic Networks(6), Single-cell and spatial transcriptomics(6), vaccines and immunoinformatics approaches(3)

Publications30 total

The effect of Quebec’s topography on intraocular SF₆ after pars plana vitrectomy: a case series to improve postoperative safety
Canadian Journal of Ophthalmology·2025
A knowledge graph and topological data analysis framework to disentangle the tomato-multi pathogens complex gene regulatory network
2025
Applications en apprentissage automatique
Journées mathématiques X-UPS·2025· 2 citedOpen Access
Retinal Metastasis Secondary to Lung Cancer Treated with Local Photodynamic Therapy and Systemic Nivolumab
Ophthalmology Retina·2025
Sparsification of the Generalized Persistence Diagrams for Scalability Through Gradient Descent
arXiv (Cornell University)·2025Open Access
Differentiability and Optimization of Multiparameter Persistent Homology
arXiv (Cornell University)·2024· 2 citedOpen Access
Diffeomorphic interpolation for efficient persistence-based topological optimization
arXiv (Cornell University)·2024Open Access
Diffeomorphic interpolation for efficient persistence-based topological optimization
2024
A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
arXiv (Cornell University)·2023· 4 citedOpen Access
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
arXiv (Cornell University)·2023· 3 citedOpen Access
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
arXiv (Cornell University)·2023Open Access
TopoInVis 2022 Committees
2022Open Access
Topological Data Analysis and its usefulness for precision medicine studies
HAL (Le Centre pour la Communication Scientifique Directe)·2022· 4 citedOpen Access
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
2021· 13 citedOpen Access
Ultrafast topological data analysis reveals pandemic-scale dynamics of convergent evolution
arXiv (Cornell University)·2021Open Access
Topological data analysis identifies emerging adaptive mutations in\n SARS-CoV-2
arXiv (Cornell University)·2021· 1 citedOpen Access
Ultrafast topological data analysis reveals pandemic-scale dynamics of convergent evolution
2021· 3 citedOpen Access
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
arXiv (Cornell University)·2021· 2 citedOpen Access
Multiparameter Persistence Image for Topological Machine Learning
Neural Information Processing Systems·2020· 16 cited
Multiparameter Persistence Images for Topological Machine Learning
HAL (Le Centre pour la Communication Scientifique Directe)·2020· 3 citedOpen Access
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Frequent Co-authors

Théo Lacombe(7), Steve Oudot(6), Yuichi Ike(5), Frédéric Chazal(5), Raúl Rabadán(5), Yuhei Umeda(3), David Loiseaux(3), Juan Ángel Patin͂o-Galindo(3), Ulrich Bauer(3), Rachel Jeitziner(2), Jacques Rougemont(2), Kathryn Hess(2), Cathrin Brisken(2), Andrew J. Blumberg(2), Marc Glisse(2), Martin Royer(2), Andrew J. Blumberg(2), Michael Bleher(2), Lukas Hahn(2), Andreas Ott(2)