Paper-Conference

Unbalanced CO-Optimal Transport
Optimal transport (OT) compares probability distributions by computing a meaningful alignment between their samples. CO-optimal …
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Cite DOI URL AAAI 2023
Unbalanced CO-Optimal Transport
Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
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Alexis Thual, Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
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Template based Graph Neural Network with Optimal Transport Distances
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Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
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Semi-relaxed Gromov-Wasserstein divergence for graphs classification
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Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
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MAD: Match-And-Deform for Time Series Domain Adaptation
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François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
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JDCOT : an Algorithm for Transfer Learning in Incomparable Domains using Optimal Transport
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Marion Jeamart, Renan Bernard, Nicolas Courty, Chloé Friguet, Valérie Garès
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Semi-relaxed Gromov Wasserstein divergence with applications on graphs
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Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
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Online Graph Dictionary Learning
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Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
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Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
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Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary
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CO-Optimal Transport
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Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty
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