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Time Series Generation with Masked Autoencoder

This paper shows that masked autoencoder with extrapolator (ExtraMAE) is a scalable self-supervised model for time series generation. ExtraMAE randomly masks some patches of the original time series and learns temporal dynamics by recovering the masked patches.

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Cite this as

Mengyue Zha, SiuTim Wong, Mengqi Liu, Tong Zhang, Kani Chen (2024). Dataset: Time Series Generation with Masked Autoencoder. https://doi.org/10.57702/mc7kx30s

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2201.07006
Author	Mengyue Zha
More Authors	SiuTim Wong Mengqi Liu Tong Zhang Kani Chen
Homepage	https://arxiv.org/abs/2205.09443