Article-Journal

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection
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Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
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Multimodal supervised contrastive learning in remote sensing downstream tasks
To leverage the large amount of unlabeled data available in remote sensing datasets, self-supervised learning (SSL) methods have …
Paul Berg, Baki Uzun, Minh-Tan Pham, Nicolas Courty
Cite IEEE GRSL
Multimodal supervised contrastive learning in remote sensing downstream tasks
Neural network time-series classifiers for gravitational-wave searches in single-detector periods
The search for gravitational-wave signals is limited by non-Gaussian transient noises that mimic astrophysical signals. Temporal …
Agata Trovato, E Chassande-Mottin, M Bejger, Remi Flamary, Nicolas Courty
Cite Classical and Quantum Gravity
Neural network time-series classifiers for gravitational-wave searches in single-detector periods
Non-Euclidean Sliced Optimal Transport Sampling
While many Machine Learning methods were developed or transposed on Riemannian manifolds to tackle data with known non Euclidean …
Baptiste Genest, Nicolas Courty, David Coeurjolly
Cite Best paper Eurographics 2024
Non-Euclidean Sliced Optimal Transport Sampling
Scalable Unbalanced Optimal Transport by Slicing
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Kimia Nadjahi, Kilian Fatras, Nicolas Courty
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Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
While many Machine Learning methods were developed or transposed on Riemannian manifolds to tackle data with known non Euclidean …
Clément Bonet, Lucas Drumetz, Nicolas Courty
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Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
Improving molecular representation learning with metric learning-enhanced optimal transport
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Fang Wu, Nicolas Courty, Shuting Jin, Stan Li
Cite DOI URL Cell Patterns
Improving molecular representation learning with metric learning-enhanced optimal transport
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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