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Titouan Vayer

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection

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Feb 03, 2024
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Compressive Recovery of Sparse Precision Matrices

Nov 08, 2023
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Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein

Oct 05, 2023
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Optimal Transport with Adaptive Regularisation

Oct 04, 2023
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Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso

Jul 05, 2023
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SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities

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May 23, 2023
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Entropic Wasserstein Component Analysis

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Mar 09, 2023
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Template based Graph Neural Network with Optimal Transport Distances

May 31, 2022
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Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning

Dec 17, 2021
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Semi-relaxed Gromov Wasserstein divergence with applications on graphs

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Oct 06, 2021
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