Carriere, Mathieu

14 publications

NeurIPS 2024 Diffeomorphic Interpolation for Efficient Persistence-Based Topological Optimization Mathieu Carrière, Marc Theveneau, Théo Lacombe

ICML 2024 Differentiability and Optimization of Multiparameter Persistent Homology Luis Scoccola, Siddharth Setlur, David Loiseaux, Mathieu Carrière, Steve Oudot

ICML 2024 Differentiable Mapper for Topological Optimization of Data Representation Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel

ICMLW 2024 Differentiable Mapper for Topological Optimization of Data Representation Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel

TMLR 2024 MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Neural Networks Charles Arnal, Felix Hensel, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frederic Chazal

NeurIPS 2023 A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions David Loiseaux, Mathieu Carrière, Andrew Blumberg

NeurIPS 2023 Stable Vectorization of Multiparameter Persistent Homology Using Signed Barcodes as Measures David Loiseaux, Luis Scoccola, Mathieu Carrière, Magnus Bakke Botnan, Steve Oudot

ICLRW 2022 RipsNet: A General Architecture for Fast and Robust Estimation of the Persistent Homology of Point Clouds Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frederic Chazal

ICML 2021 Optimizing Persistent Homology Based Functions Mathieu Carriere, Frederic Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda

IJCAI 2021 Topological Uncertainty: Monitoring Trained Neural Networks Through Persistence of Activation Graphs Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda

NeurIPS 2020 Multiparameter Persistence Image for Topological Machine Learning Mathieu Carrière, Andrew Blumberg

AISTATS 2020 PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures Mathieu Carriere, Frederic Chazal, Yuichi Ike, Theo Lacombe, Martin Royer, Yuhei Umeda

JMLR 2018 Statistical Analysis and Parameter Selection for Mapper Mathieu Carrière, Bertrand Michel, Steve Oudot

ICML 2017 Sliced Wasserstein Kernel for Persistence Diagrams Mathieu Carrière, Marco Cuturi, Steve Oudot