Unveiling the Pinnacle of Time Series Forecasting: Replicating and Comparing State-of-the-Art Models

Author:

Ranjan Rishav,Ananya M. B.,Gharat Ambar

Publisher

Springer Nature Singapore

Reference15 articles.

1. Box GEP, Jenkins, GM (1968) Some recent advances in forecasting and control. J Royal Stat Soc. Ser C (Appl Stat) 17(2):91–109. ISSN 00359254, 14679876, http://www.jstor.org/stable/2985674

2. Elger C, Lehnertz K (1998) Seizure prediction by non-linear time series analysis of brain electrical activity. Eur J Neurosci 10:786–789. https://doi.org/10.1046/j.1460-9568.1998.00090.x

3. Lai G et al (2018) Modeling long- and short-term temporal patterns with deep neural networks. arXiv:1703.07015 [cs.LG]

4. Li S et al (2020) Enhancing the locality and breaking the memory bottle-neck of transformer on time series forecasting. arXiv:1907.00235 [cs.LG]

5. Liu M et al (2021) Time series is a special sequence: forecasting with sample convolution and interaction. In: CoRR abs/2106.09305. arXiv: 2106.09305, https://arxiv.org/abs/2106.09305

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