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SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Esmati, Parsa, Dadashzadeh, Amirhossein, Goodarzi, Vahid, Larrosa, Nicolas, Grilli, Nicolò
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
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