"Optimal Transport-inspired Deep Learning Framework for Slow-Decaying ..."

Moaad Khamlich, Federico Pichi, Gianluigi Rozza (2023)

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DOI: 10.48550/ARXIV.2308.13840

access: open

type: Informal or Other Publication

metadata version: 2023-09-01

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  - journals/corr/abs-2308-13840
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  - https://dblp.org/rec/journals/corr/abs-2308-13840
Moaad Khamlich, Federico Pichi, Gianluigi Rozza:
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel. CoRR abs/2308.13840 (2023)

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