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.

Data and Resources

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

DOI retrieved: December 2, 2024

Additional Info

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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