Article-Journal

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows
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Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau
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End-to-end learned early classification of time series for in-season crop type mapping
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Marc Rußwurm, Nicolas Courty, Rémi Emonet, Sébastien Lefèvre, Devis Tuia, Romain Tavenard
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Efficient Gradient Flows in Sliced-Wasserstein Space
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Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
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Time Series Alignment with Global Invariances
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Titouan Vayer, Romain Tavenard, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard
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Wasserstein Adversarial Regularization for learning with label noise
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Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Remi Flamary, Devis Tuia, Nicolas Courty
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Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives
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Paul Berg, Minh-Tan Pham, Nicolas Courty
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Optimal Transport for Conditional Domain Matching and Label Shift
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Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
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Generating natural adversarial Remote Sensing Images
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Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty
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Learning to Generate Wasserstein Barycenters
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Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
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Subspace Detours Meet Gromov-Wasserstein
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Clément Bonet, Titouan Vayer, Nicolas Courty, François Septier, Lucas Drumetz
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