Publications (from 2014)

This is a selection of publications from 2014. You can find a complete list of my publications on Google scholar (with citation counts) or HAL. Also, take a look at my ArXiv page for latest preprints.


François Painblanc, Laëtitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard (2024). Domain Adaptation of Time Series through Optimal Transport and Temporal Alignment. 55ièmes Journées de Statistique.

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Bjoern Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty (2024). SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV.

Cite URL 3DV 2024

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

Cite Code URL ECCV 2024

Clément Bonet, Lucas Drumetz, Nicolas Courty (2024). Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. arXiv preprint arXiv:2403.06560.

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Kimia Nadjahi, Kilian Fatras, Nicolas Courty (2024). Scalable Unbalanced Optimal Transport by Slicing.

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Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty (2024). SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 2024 International Conference on 3D Vision (3DV).

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Baptiste Genest, Nicolas Courty, David Coeurjolly (2024). Non-Euclidean Sliced Optimal Transport Sampling. Computer Graphics Forum.

Cite Best paper Eurographics 2024

Baptiste Genest, Nicolas Courty, David Coeurjolly (2024). Non Euclidean Sliced Optimal Transport Sampling Software.

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Agata Trovato, E Chassande-Mottin, M Bejger, Remi Flamary, Nicolas Courty (2024). Neural network time-series classifiers for gravitational-wave searches in single-detector periods. Classical and Quantum Gravity.

Cite Classical and Quantum Gravity

Paul Berg, Baki Uzun, Minh-Tan Pham, Nicolas Courty (2024). Multimodal supervised contrastive learning in remote sensing downstream tasks. IEEE Geoscience and Remote Sensing Letters.

Cite IEEE GRSL

Paul Berg, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty (2024). Horospherical Learning with Smart Prototypes. BMVC.

Cite BMVC 2024

François Painblanc, Laëtitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard (2024). Domain Adaptation of Time Series through Optimal Transport and Temporal Alignment. 55ièmes Journées de Statistique.

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Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer (2024). Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. arXiv preprint arXiv:2402.02239.

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Paul Berg, Minh-Tan Pham, Nicolas Courty (2024). Apprentissage contrastif multi-modal: Du pré-entrainement auto-supervisé à la classification supervisée.. Joint CAP and RFIAP 2024 Conferences.

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Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty (2023). SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS).

Cite URL NeurIPS 2023

Hugues Van Assel, Titouan Vayer, Remi Flamary, Nicolas Courty (2023). Optimal Transport with Adaptive Regularisation. NeurIPS OTML Workshop.

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Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty (2023). Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. NeurIPS OTML Workshop.

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

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Alexis Thual, Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion (2023). Aligning individual brains with Fused Unbalanced Gromov-Wasserstein.

Cite DOI URL NeurIPS 2023

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

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Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty (2023). Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML 2023 - Fortieth International Conference on Machine Learning.

Cite DOI URL ICML 2023

Valérie Garès, Chloé Friguet, Nicolas Courty (2023). Optimal transport for data integration. 54ème journées de la Société Française de Statistique.

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Paul Berg, Minh-Tan Pham, Nicolas Courty (2023). Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification. IGARSS.

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Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty (2023). Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML 2023 ICML Workshop.

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Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh (2023). Unbalanced CO-Optimal Transport. Thirty-Seventh AAAI Conference on Artificial Intelligence.

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Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham (2023). Spherical Sliced-Wasserstein. International Conference on Learning Representations (ICLR).

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Fang Wu, Nicolas Courty, Shuting Jin, Stan Li (2023). Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns.

Cite DOI URL Cell Patterns

Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau (2023). Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. Transactions on Machine Learning Research Journal.

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

Cite DOI URL AAAI 2023

Marc Rußwurm, Nicolas Courty, Rémi Emonet, Sébastien Lefèvre, Devis Tuia, Romain Tavenard (2023). End-to-end learned early classification of time series for in-season crop type mapping. ISPRS Journal of Photogrammetry and Remote Sensing.

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Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz (2022). Efficient Gradient Flows in Sliced-Wasserstein Space. Transactions on Machine Learning Research Journal.

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Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty (2022). Template based Graph Neural Network with Optimal Transport Distances. NeurIPS 2022 – 36th Conference on Neural Information Processing Systems.

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

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Alexis Thual, Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion (2022). Aligning individual brains with Fused Unbalanced Gromov-Wasserstein. NeurIPS 2022 - Conference on Neural Information Processing Systems.

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Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Remi Flamary, Devis Tuia, Nicolas Courty (2022). Wasserstein Adversarial Regularization for learning with label noise. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Titouan Vayer, Romain Tavenard, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard (2022). Time Series Alignment with Global Invariances. Transactions on Machine Learning Research Journal.

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Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty (2022). Semi-relaxed Gromov-Wasserstein divergence for graphs classification. Colloque GRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images.

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Paul Berg, Minh-Tan Pham, Nicolas Courty (2022). Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives. Remote Sensing.

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François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard (2022). MAD: Match-And-Deform for Time Series Domain Adaptation. Conférence sur l’Apprentissage automatique (CAp).

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Marion Jeamart, Renan Bernard, Nicolas Courty, Chloé Friguet, Valérie Garès (2022). JDCOT : an Algorithm for Transfer Learning in Incomparable Domains using Optimal Transport. 53èmes Journées de Statistique.

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

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Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty (2022). Semi-relaxed Gromov Wasserstein divergence with applications on graphs. ICLR 2022 - 10th International Conference on Learning Representations.

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Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel (2022). Learning to Generate Wasserstein Barycenters. Journal of Mathematical Imaging and Vision.

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Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty (2022). Generating natural adversarial Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing.

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Clément Bonet, Titouan Vayer, Nicolas Courty, François Septier, Lucas Drumetz (2021). Subspace Detours Meet Gromov-Wasserstein. Algorithms.

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Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty (2021). Semi-relaxed Gromov Wasserstein divergence with applications on graphs.

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Huy Quang Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty (2021). Factored couplings in multi-marginal optimal transport via difference of convex programming.

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Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary (2021). Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. International Conference in machine Learning.

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Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty (2021). Online Graph Dictionary Learning. ICML 2021 - 38th International Conference on Machine Learning.

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Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Zahdi 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 (2021). POT : Python Optimal Transport. Journal of Machine Learning Research.

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Guillaume Gravier, Elisa Fromont, Nicolas Courty, Teddy Furon, Christine Guillemot, Paolo Robuffo Giordano (2021). Rennes - une IA souveraine au service de la vie publique. Bulletin de l’Association Française pour l’Intelligence Artificielle.

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Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia (2020). Contextual Semantic Interpretability. ACCV (Asian Conference on Computer Vision).

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Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty (2020). CO-Optimal Transport. Neural Information Processing Systems (NeurIPS).

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Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty (2020). Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms.

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Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty (2020). Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS 2020 - 23nd International Conference on Artificial Intelligence and Statistics.

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Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty (2020). A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification.

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Antoine Ackaouy, Nicolas Courty, Emmanuel Vallée, Olivier Commowick, Christian Barillot, Francesca Galassi (2020). Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data. Frontiers in Computational Neuroscience.

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Bharath Bhushan Damodaran, Rémi Flamary, Viven Seguy, Nicolas Courty (2020). An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Computer Vision and Image Understanding.

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Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty (2019). Sliced Gromov-Wasserstein. NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems.

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Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty (2019). Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN. C&ESAR.

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Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty (2019). Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise.

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Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty (2019). Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties.

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Marc Russwurm, Sébastien Lefevre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard (2019). End-to-end Learning for Early Classification of Time Series.

Cite Code URL ISPRS Journal

Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin (2019). Data Dependent Kernel Approximation using Pseudo Random Fourier Features.

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T. Le Naour, N. Courty, Sylvie Gibet (2019). Skeletal mesh animation driven by few positional constraints. Computer Animation and Virtual Worlds.

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Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty (2019). Optimal Transport for structured data with application on graphs. ICML 2019 - 36th International Conference on Machine Learning.

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Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia (2019). Optimal Transport for Multi-source Domain Adaptation under Target Shift. 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019.

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Thibaut Le Naour, Nicolas Courty, Sylvie Gibet (2019). Kinematics in the metric space. Computers and Graphics.

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Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy (2018). Wasserstein Discriminant Analysis. Machine Learning.

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Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty, Liva Ralaivola (2018). Dissimilarity Measure Machines.

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Bharath Bhushan Damodaran, Benjamin Kellenberger, Remi Flamary, Devis Tuia, Nicolas Courty (2018). DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV 2018 - 15th European Conference on Computer Vision.

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Thibaut Le Naour, Nicolas Courty, Sylvie Gibet (2018). Real-time mesh animation from low dimensional positional constraints.

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Thibaut Le Naour, Nicolas Courty, Sylvie Gibet (2018). Kinematic driven by distances.

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Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia (2018). Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

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Nicolas Courty, Rémi Flamary, Mélanie Ducoffe (2018). Learning Wasserstein Embeddings. ICLR 2018 - 6th International Conference on Learning Representations.

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Vivien Seguy, Bharath Bhushan Damodaran, Remi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel (2018). Large-Scale Optimal Transport and Mapping Estimation. ICLR 2018 - International Conference on Learning Representations.

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Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard (2017). Randomized Nonlinear Component Analysis for Dimensionality Reduction of Hyperspectral Images. IGARSS 2017 - IEEE International Geoscience and Remote Sensing Symposium.

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Jamila Mifdal, Bartomeu Coll, Nicolas Courty, Jacques Froment, Béatrice Vedel (2017). HYPERSPECTRAL AND MULTISPECTRAL WASSERSTEIN BARYCENTER FOR IMAGE FUSION. IGARSS 2017.

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Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre (2017). Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing.

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Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya (2016). Optimal spectral transportation with application to music transcription. Advances in Neural Information Processing Systems (NIPS).

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Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard (2016). Mapping Estimation for Discrete Optimal Transport. Neural Information Processing System.

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Jamila Mifdal, Bartomeu Coll, Nicolas Courty, Jacques Froment, Béatrice Vedel (2016). Hyperspectral and multispectral image fusion based on optimal transport.

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Antoine Lefebvre, Jean Nabucet, Thomas Corpetti, Nicolas Courty, Laurence Hubert-Moy (2016). Extraction of urban vegetation with Pleiades multiangular images. SPIE Remote Sensing 2016.

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Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti (2016). Supervised Planetary Unmixing with Optimal Transport. WHISPERS 8th workshop on Hyperspectral image and Signal Processing: Evolution in Remote Sensing.

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Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti (2016). Optimal Transport for Data Fusion in Remote Sensing. IGARSS.

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Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy (2016). Optimal Transport for Domain Adaptation.

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Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre (2016). Unsupervised Classifier Selection Approach for Hyperspectral Image Classification. IEEE International Geosciences and Remote Sensing Symposium (IGARSS).

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Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy (2016). Optimal Transport for Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Sina Nakhostin, Harold Clenet, Thomas Corpetti, Nicolas Courty (2016). Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing.

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Romain Huet, Nicolas Courty, Sébastien Lefèvre (2016). A new penalisation term for image retrieval in clique neural networks. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).

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Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty (2015). Generalized conditional gradient: analysis of convergence and applications.

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Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty (2015). Multitemporal classification without new labels: A solution with optimal transport. Multitemp.

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Devis Tuia, Rémi Flamary, Nicolas Courty (2015). Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. ISPRS Journal of Photogrammetry and Remote Sensing.

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Rémi Flamary, Nicolas Courty, Alain Rakotomamonjy, Devis Tuia (2014). Optimal transport with Laplacian regularization. NIPS 2014, Workshop on Optimal Transport and Machine Learning.

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Nicolas Courty, Rémi Flamary, Alain Rakotomamonjy, Devis Tuia (2014). Optimal transport for Domain adaptation. NIPS 2014, Workshop on Optimal Transport and Machine Learning.

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Erchan Aptoula, Nicolas Courty, Sébastien Lefèvre (2014). An end-member based ordering relation for the morphological description of hyperspectral images. IEEE International Conference on Image Processing (ICIP).

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Nicolas Courty, Xing Gong, Jimmy Vandel, Thomas Burger (2014). SAGA: Sparse And Geometry-Aware non-negative matrix factorization through non-linear local embedding. Machine Learning.

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Nicolas Courty, Rémi Flamary, Devis Tuia (2014). Domain adaptation with regularized optimal transport. ECML/PKDD 2014.

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Devis Tuia, Nicolas Courty, Rémi Flamary (2014). A group-lasso active set strategy for multiclass hyperspectral image classification. Photogrammetric Computer Vision (PCV).

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Julien Rebetez, Devis Tuia, Nicolas Courty (2014). Network-based correlated correspondence for unsupervised domain adaptation of hyperspectral satellite images. International Conference on Pattern Recognition (ICPR 2014).

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Thibaut Le Naour, Nicolas Courty, Sylvie Gibet (2014). Utilisation des relations spatiales pour la reconstruction de trajectoires de marqueurs issues de la capture de mouvement. Revue Electronique Francophone d’Informatique Graphique.

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Laëtitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre (2014). PerTurbo manifold learning algorithm for weakly labelled hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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Pierre Allain, Nicolas Courty, Thomas Corpetti (2014). Optimal crowd editing. Graphical Models.

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