Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties

1 code implementation • 7 Nov 2018 • Titouan Vayer, Laetita Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty

Optimal transport theory has recently found many applications in machine learning thanks to its capacity for comparing various machine learning objects considered as distributions.

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