Sampled Gromov Wasserstein
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Publication:2071351
DOI10.1007/s10994-021-06035-1OpenAlexW3184455115MaRDI QIDQ2071351
Tanguy Kerdoncuff, Marc Sebban, Rémi Emonet
Publication date: 28 January 2022
Published in: Machine Learning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10994-021-06035-1
Related Items (2)
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line ⋮ Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification
Uses Software
Cites Work
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