U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting

Author:

Madhusudhanan KiranORCID,Burchert Johannes,Duong-Trung Nghia,Born Stefan,Schmidt-Thieme LarsORCID

Publisher

Springer Nature Switzerland

Reference37 articles.

1. Ba, L.J., Kiros, J.R., Hinton, G.E.: Layer normalization. CoRR (2016)

2. Box, G.E.P., Jenkins, G.M.: Some recent advances in forecasting and control. Journal of the Royal Statistical Society. Series C (Appl. Stat.) 17, 91–109 (1968)

3. Camacho, E.F., Alba, C.B.: Model Predictive Control. Springer, Heidelberg (2013)

4. Cao, W., Wang, D., Li, J., Zhou, H., Li, L., Li, Y.: Brits: bidirectional recurrent imputation for time series. In: NeurIPS (2018)

5. Cirstea, R.G., Guo, C., Yang, B., Kieu, T., Dong, X., Pan, S.: Triformer: Triangular, variable-specific attentions for long sequence multivariate time series forecasting. In: IJCAI (2022)

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