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Romain Tavenard
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POT: Python Optimal Transport
Fused Gromov-Wasserstein Distance for Structured Objects
Time Series Alignment with Global Invariances
Sliced Gromov-Wasserstein
End-to-end Learning for Early Classification of Time Series
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
Optimal Transport for structured data with application on graphs
Randomized Nonlinear Component Analysis for Dimensionality Reduction of Hyperspectral Images
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