5 citations · 7 across the 7 of their papers we have counts for
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cs.LG2023★ 1 cited
Easy attention: A simple attention mechanism for temporal predictions with transformers
Marcial Sanchis-Agudo, Yuning Wang, Roger Arnau +4
To improve the robustness of transformer neural networks used for temporal-dynamics prediction of chaotic systems, we propose a novel attention mechanism called easy attention whic…
physics.flu-dyn2023★ 1 cited
-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Alberto Solera-Rico, Carlos Sanmiguel Vila, M. A. Gómez +4
Variational autoencoder (VAE) architectures have the potential to develop reduced-order models (ROMs) for chaotic fluid flows. We propose a method for learning compact and near-ort…