Chapel, Laetitia

14 publications

NeurIPS 2025 Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon, Laetitia Chapel, Titouan Vayer

NeurIPS 2025 Differentiable Generalized Sliced Wasserstein Plans Laetitia Chapel, Romain Tavenard, Samuel Vaiter

ICLR 2025 One for All and All for One: Efficient Computation of Partial Wasserstein Distances on the Line Laetitia Chapel, Romain Tavenard

NeurIPS 2023 Fast Optimal Transport Through Sliced Generalized Wasserstein Geodesics Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty

ICMLW 2023 Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty

ECML-PKDD 2023 Match-and-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard

MLJ 2023 Scalable Clustering of Segmented Trajectories Within a Continuous Time Framework: Application to Maritime Traffic Data Pierre Gloaguen, Laetitia Chapel, Chloé Friguet, Romain Tavenard

TMLR 2022 Time Series Alignment with Global Invariances Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard

MLOSS 2021 POT: Python Optimal Transport Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T.H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer

NeurIPS 2021 Unbalanced Optimal Transport Through Non-Negative Penalized Linear Regression Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso

NeurIPS 2020 Partial Optimal Tranport with Applications on Positive-Unlabeled Learning Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso

NeurIPS 2019 Sliced Gromov-Wasserstein Vayer Titouan, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel

ECML-PKDD 2017 Efficient Temporal Kernels Between Feature Sets for Time Series Classification Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos

ECML-PKDD 2014 Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA Laetitia Chapel, Chloé Friguet