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Publication search results
found 150 matches
- 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: 1-5 (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 abs/2402.02239 (2024) - Baptiste Genest, Nicolas Courty, David Coeurjolly:
Non-Euclidean Sliced Optimal Transport Sampling. CoRR abs/2402.16981 (2024) - Clément Bonet, Lucas Drumetz, Nicolas Courty:
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. CoRR abs/2403.06560 (2024) - 2023
- Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel:
Learning to Generate Wasserstein Barycenters. J. Math. Imaging Vis. 65(2): 354-370 (2023) - Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li:
Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns 4(4): 100714 (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) - Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-optimal Transport. AAAI 2023: 10006-10016 - Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham:
Spherical Sliced-Wasserstein. ICLR 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: 2777-2805 - Paul Berg, Minh-Tan Pham, Nicolas Courty:
Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification. IGARSS 2023: 6624-6627 - Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS 2023 - Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS 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: 341-356 - Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty:
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML 2023: 334-370 - 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 abs/2303.05798 (2023) - Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR abs/2304.03251 (2023) - Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR abs/2305.13797 (2023) - Thibault Séjourné, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty:
Unbalanced Optimal Transport meets Sliced-Wasserstein. CoRR abs/2306.07176 (2023) - Paul Berg, Minh-Tan Pham, Nicolas Courty:
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification. CoRR abs/2306.09851 (2023) - Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR abs/2307.01770 (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 abs/2308.12686 (2023) - Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
Optimal Transport with Adaptive Regularisation. CoRR abs/2310.02925 (2023) - Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty:
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. CoRR abs/2310.03398 (2023) - 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): 1651-1670 (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): 7296-7306 (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): 3995 (2022) - Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty:
Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (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)
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