Lacombe, Theo

9 publications

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

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

JMLR 2024 Topological Node2vec: Enhanced Graph Embedding via Persistent Homology Yasuaki Hiraoka, Yusuke Imoto, Théo Lacombe, Killian Meehan, Toshiaki Yachimura

AISTATS 2023 An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary Theo Lacombe

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 Estimation and Quantization of Expected Persistence Diagrams Vincent Divol, Theo Lacombe

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

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

NeurIPS 2018 Large Scale Computation of Means and Clusters for Persistence Diagrams Using Optimal Transport Theo Lacombe, Marco Cuturi, Steve Oudot