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Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
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Multi-Prototype Hyperbolic Learning Guided by Class Hierarchy
Paul Berg, Léo Buecher, Björn Michele, Minh-Tan Pham, Laetitia Chapel, 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
Cite URL JMLR
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
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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Slicing Unbalanced Optimal Transport
Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian Fatras, Nicolas Courty
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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