Nicolas Courty

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 104

Top Venues

Publications

Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV (2024)
Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. CoRR (2024)
Paul Berg, Baki Uzun, Minh-Tan Pham, Nicolas Courty
Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Baptiste Genest, Nicolas Courty, David Coeurjolly
Non-Euclidean Sliced Optimal Transport Sampling. CoRR (2024)
Baptiste Genest, Nicolas Courty, David Coeurjolly
Non-Euclidean Sliced Optimal Transport Sampling. Comput. Graph. Forum 43 (2) (2024)
Clément Bonet, Lucas Drumetz, Nicolas Courty
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. CoRR (2024)
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Unbalanced CO-optimal Transport. AAAI (2023)
Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS (2023)
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. CoRR (2023)
Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR (2023)
Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
Learning to Generate Wasserstein Barycenters. J. Math. Imaging Vis. 65 (2) (2023)
Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML (2023)
Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR (2023)
Thibault Séjourné, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty
Unbalanced Optimal Transport meets Sliced-Wasserstein. CoRR (2023)
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
Optimal Transport with Adaptive Regularisation. CoRR (2023)
Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. Trans. Mach. Learn. Res. 2023 (2023)
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML (2023)
François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR (2023)
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS (2023)
Paul Berg, Minh-Tan Pham, Nicolas Courty
Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification. IGARSS (2023)
Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
Spherical Sliced-Wasserstein. ICLR (2023)
Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. CoRR (2023)
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR (2023)
Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li
Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns 4 (4) (2023)
Paul Berg, Minh-Tan Pham, Nicolas Courty
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification. CoRR (2023)
François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) (2023)
Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. CoRR (2022)
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR (2022)
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Unbalanced CO-Optimal Transport. CoRR (2022)
Paul Berg, Minh-Tan Pham, Nicolas Courty
Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives. Remote. Sens. 14 (16) (2022)
Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty
Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Template based Graph Neural Network with Optimal Transport Distances. NeurIPS (2022)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
Optimal transport for conditional domain matching and label shift. Mach. Learn. 111 (5) (2022)
Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
Spherical Sliced-Wasserstein. CoRR (2022)
Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Fang Wu, Nicolas Courty, Zhang Qiang, Jiyu Cui, Ziqing Li
Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation. CoRR (2022)
Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
Aligning individual brains with fused unbalanced Gromov Wasserstein. NeurIPS (2022)
Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. CoRR (2022)
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
Efficient Gradient Flows in Sliced-Wasserstein Space. Trans. Mach. Learn. Res. 2022 (2022)
Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022)
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Template based Graph Neural Network with Optimal Transport Distances. CoRR (2022)
Clément Bonet, Titouan Vayer, Nicolas Courty, François Septier, Lucas Drumetz
Subspace Detours Meet Gromov-Wasserstein. Algorithms 14 (12) (2021)
Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
Learning to Generate Wasserstein Barycenters. CoRR (2021)
Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. CoRR (2021)
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Semi-relaxed Gromov Wasserstein divergence with applications on graphs. CoRR (2021)
Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. ICML (2021)
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
POT: Python Optimal Transport. J. Mach. Learn. Res. 22 (2021)
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
Subspace Detours Meet Gromov-Wasserstein. CoRR (2021)
Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
Online Graph Dictionary Learning. CoRR (2021)
Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty
Factored couplings in multi-marginal optimal transport via difference of convex programming. CoRR (2021)
Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
Online Graph Dictionary Learning. ICML (2021)
Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Minibatch optimal transport distances; analysis and applications. CoRR (2021)
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
Sliced-Wasserstein Gradient Flows. CoRR (2021)
Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty
An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Comput. Vis. Image Underst. 191 (2020)
Antoine Ackaouy, Nicolas Courty, Emmanuel Vallée, Olivier Commowick, Christian Barillot, Francesca Galassi
Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data. Frontiers Comput. Neurosci. 14 (2020)
Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
Time Series Alignment with Global Invariances. CoRR (2020)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
Match and Reweight Strategy for Generalized Target Shift. CoRR (2020)
Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
Representation Transfer by Optimal Transport. CoRR (2020)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13 (9) (2020)
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS (2020)
Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
Contextual Semantic Interpretability. CoRR (2020)
Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN. CoRR (2020)
Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty
A Cycle Gan Approach for Heterogeneous Domain Adaptation in Land Use Classification. IGARSS (2020)
Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty
CO-Optimal Transport. NeurIPS (2020)
Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty
CO-Optimal Transport. CoRR (2020)
Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification. CoRR (2020)
Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
Contextual Semantic Interpretability. ACCV (4) (2020)
Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR (2019)
Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
Optimal Transport for structured data with application on graphs. ICML (2019)
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR (2019)
Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty
Sliced Gromov-Wasserstein. CoRR (2019)
Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel
Sliced Gromov-Wasserstein. NeurIPS (2019)
Thibaut Le Naour, Nicolas Courty, Sylvie Gibet
Kinematics in the metric space. Comput. Graph. 84 (2019)
Thibaut Le Naour, Nicolas Courty, Sylvie Gibet
Skeletal mesh animation driven by few positional constraints. Comput. Animat. Virtual Worlds 30 (3-4) (2019)
Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard
End-to-end Learning for Early Classification of Time Series. CoRR (2019)
Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia
Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS (2019)
Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR (2018)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR (2018)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Optimal Transport for structured data. CoRR (2018)
Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
Learning Wasserstein Embeddings. ICLR (Poster) (2018)
Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. CoRR (2018)
Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty
Wasserstein Distance Measure Machines. CoRR (2018)
Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
Wasserstein discriminant analysis. Mach. Learn. 107 (12) (2018)
Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) (2018)
Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia
Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS (2018)
Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel
Large Scale Optimal Transport and Mapping Estimation. ICLR (Poster) (2018)
Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin
Data Dependent Kernel Approximation using Pseudo Random Fourier Features. CoRR (2017)
Jamila Mifdal, Bartomeu Coll, Nicolas Courty, Jacques Froment, Beatrice Vedel
Hyperspectral and multispectral wasserstein barycenter for image fusion. IGARSS (2017)
Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
Learning Wasserstein Embeddings. CoRR (2017)
Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard
Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. IGARSS (2017)
Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
Optimal Transport for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 39 (9) (2017)
Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre
Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55 (4) (2017)
Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
Joint Distribution Optimal Transportation for Domain Adaptation. CoRR (2017)
Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
Joint distribution optimal transportation for domain adaptation. NIPS (2017)
Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti
Optimal transport for data fusion in remote sensing. IGARSS (2016)
Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti
Supervised planetary unmixing with optimal transport. WHISPERS (2016)
Romain Huet, Nicolas Courty, Sébastien Lefèvre
A new penalisation term for image retrieval in clique neural networks. ESANN (2016)
Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard
Mapping Estimation for Discrete Optimal Transport. NIPS (2016)
Devis Tuia, Rémi Flamary, Nicolas Courty
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. CoRR (2016)
Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
Optimal spectral transportation with application to music transcription. NIPS (2016)

Nicolas Courty.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Courty