MDCNet: Long-term time series forecasting with mode decomposition and 2D convolution

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text

Computing, Computer Science, Mathematics +17

Variational Mode Decomposition

Konstantin Dragomiretskiy, Dominique Zosso · IEEE Transactions on Signal Processing · 2014 · 8.6K citations

Engineering, Electrical Engineering, Biomedical Signal Processing +15

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Haoyi Zhou, Shanghang Zhang, Jieqi Peng et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 6.1K citations · Full text

Computing, Computer Science, Forecasting +14

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Shaojie Bai, J. Zico Kolter, Vladlen Koltun · arXiv (Cornell University) · 2018 · 4.3K citations · Full text

Computing, Computer Science, Computer Vision +13

Are Transformers Effective for Time Series Forecasting?

Ailing Zeng, Muxi Chen, Lei Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 2.6K citations · Full text

Computing, Computer Science, Forecasting +15