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Publication search results
found 123 matches
- 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) - Antoine Collas, Rémi Flamary, Alexandre Gramfort:
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications. CoRR abs/2402.03345 (2024) - Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau:
End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching. CoRR abs/2402.12269 (2024) - 2023
- Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-optimal Transport. AAAI 2023: 10006-10016 - Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy:
Entropic Wasserstein Component Analysis. MLSP 2023: 1-6 - Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS 2023 - Théo Gnassounou, Rémi Flamary, Alexandre Gramfort:
Convolution Monge Mapping Normalization for learning on sleep data. NeurIPS 2023 - Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy:
Entropic Wasserstein Component Analysis. CoRR abs/2303.05119 (2023) - Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty:
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR abs/2305.13797 (2023) - Théo Gnassounou, Rémi Flamary, Alexandre Gramfort:
Convolutional Monge Mapping Normalization for learning on biosignals. CoRR abs/2305.18831 (2023) - Eloi Tanguy, Rémi Flamary, Julie Delon:
Properties of Discrete Sliced Wasserstein Losses. CoRR abs/2307.10352 (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) - Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty:
Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (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) - Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso:
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS 2022: 5196-5211 - Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR 2022 - Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. ICML 2022: 2321-2335 - 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 - Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. NeurIPS 2022 - Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil:
Multi-source domain adaptation via weighted joint distributions optimal transport. UAI 2022: 1970-1980 - Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. CoRR abs/2202.03813 (2022) - Dimitri Bouche, Rémi Flamary, Florence d'Alché-Buc, Riwal Plougonven, Marianne Clausel, Jordi Badosa, Philippe Drobinski:
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection. CoRR abs/2204.09362 (2022) - Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-Optimal Transport. CoRR abs/2205.14923 (2022) - Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. CoRR abs/2205.15733 (2022) - 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: 78:1-78:8 (2021) - Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty:
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. ICML 2021: 3186-3197 - Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. ICML 2021: 10564-10574
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