Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling

Accurate long-term predictions are the foundations for many machine learning applications and decision-making processes. However, building accurate long-term prediction models remains challenging due to the limitations of existing temporal models like recurrent neural networks (RNNs), as they captur...

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Veröffentlicht in:	arXiv.org 2023-09
Hauptverfasser:	Tayal, Kshitij, Renganathan, Arvind, Ghosh, Rahul, Jia, Xiaowei, Kumar, Vipin
Format:	Artikel
Sprache:	eng
Schlagworte:	Hilbert space Machine learning Modelling Pendulums Prediction models Recurrent neural networks
Online-Zugang:	Volltext
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