Search Results for author: Moaad Khamlich

Found 1 papers, 0 papers with code

Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel

no code implementations26 Aug 2023 Moaad Khamlich, Federico Pichi, Gianluigi Rozza

To overcome this limitation, we propose a novel ROM framework that integrates optimal transport (OT) theory and neural network-based methods.

Computational Efficiency

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