Courty, Nicolas

43 publications

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

TMLR 2025 Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer

JMLR 2025 Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds Clément Bonet, Lucas Drumetz, Nicolas Courty

TMLR 2025 Slicing Unbalanced Optimal Transport Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian Fatras, Nicolas Courty

ECCV 2024 Train till You Drop: Towards Stable and Robust Source-Free Unsupervised 3D Domain Adaptation Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty

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

NeurIPSW 2023 Interpolating Between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, 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

NeurIPSW 2023 Optimal Transport with Adaptive Regularisation Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

NeurIPS 2023 SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

ICML 2023 Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals Clément Bonet, Benoı̂t Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty

ICLR 2023 Spherical Sliced-Wasserstein Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh Tan Pham

TMLR 2023 Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau

AAAI 2023 Unbalanced CO-Optimal Transport Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh

ICMLW 2023 Unbalanced Optimal Transport Meets Sliced-Wasserstein Thibault Sejourne, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty

NeurIPS 2022 Aligning Individual Brains with Fused Unbalanced Gromov Wasserstein Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion

TMLR 2022 Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz

MLJ 2022 Optimal Transport for Conditional Domain Matching and Label Shift Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty

ICLR 2022 Semi-Relaxed Gromov-Wasserstein Divergence and Applications on Graphs Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

NeurIPS 2022 Template Based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

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

NeurIPSW 2022 Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche

ICML 2021 Online Graph Dictionary Learning Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty

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

ICML 2021 Unbalanced Minibatch Optimal Transport; Applications to Domain Adaptation Kilian Fatras, Thibault Sejourne, Rémi Flamary, Nicolas Courty

NeurIPS 2020 CO-Optimal Transport Vayer Titouan, Ievgen Redko, Rémi Flamary, Nicolas Courty

AISTATS 2020 Learning with Minibatch Wasserstein : Asymptotic and Gradient Properties Kilian Fatras, Younes Zine, Rémi Flamary, Remi Gribonval, Nicolas Courty

AISTATS 2019 Optimal Transport for Multi-Source Domain Adaptation Under Target Shift Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia

ICML 2019 Optimal Transport for Structured Data with Application on Graphs Vayer Titouan, Nicolas Courty, Romain Tavenard, Chapel Laetitia, Rémi Flamary

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

ECCV 2018 DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation Bharath Bhushan Damodaran, Benjamin Kellenberger, Remi Flamary, Devis Tuia, Nicolas Courty

ICLR 2018 Large Scale Optimal Transport and Mapping Estimation Vivien Seguy, Bharath Bhushan Damodaran, Remi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel

ICLR 2018 Learning Wasserstein Embeddings Nicolas Courty, Rémi Flamary, Mélanie Ducoffe

MLJ 2018 Wasserstein Discriminant Analysis Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy

NeurIPS 2017 Joint Distribution Optimal Transportation for Domain Adaptation Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy

NeurIPS 2016 Mapping Estimation for Discrete Optimal Transport Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard

NeurIPS 2016 Optimal Spectral Transportation with Application to Music Transcription Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya

ECML-PKDD 2014 Domain Adaptation with Regularized Optimal Transport Nicolas Courty, Rémi Flamary, Devis Tuia

MLJ 2014 SAGA: Sparse and Geometry-Aware Non-Negative Matrix Factorization Through Non-Linear Local Embedding Nicolas Courty, Xing Gong, Jimmy Vandel, Thomas Burger

CVPRW 2013 Ground Truth for Pedestrian Analysis and Application to Camera Calibration Clement Creusot, Nicolas Courty

ECML-PKDD 2012 Geodesic Analysis on the Gaussian RKHS Hypersphere Nicolas Courty, Thomas Burger, Pierre-François Marteau

ECML-PKDD 2011 PerTurbo: A New Classification Algorithm Based on the Spectrum Perturbations of the Laplace-Beltrami Operator Nicolas Courty, Thomas Burger, Johann Laurent