Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Heidenreich, Hunter S., Vlachas, Pantelis R., Koumoutsakos, Petros
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Chaotic Dynamics Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2410.02654