Generative Pretrained Hierarchical Transformer for Time Series Forecasting

Author:

Liu Zhiding1ORCID,Yang Jiqian1ORCID,Cheng Mingyue1ORCID,Luo Yucong1ORCID,Li Zhi2ORCID

Affiliation:

1. State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, Anhui, China

2. Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China

Funder

Joint Research Project of the Science and Technology Innovation Community in Yangtze River Delta

Publisher

ACM

Reference54 articles.

1. Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian. 2023. Accurate medium-range global weather forecasting with 3D neural networks. Nature (2023), 1--6.

2. Some Recent Advances in Forecasting and Control

3. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.

4. Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco and Artur Dubrawski. 2022. N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. arxiv: 2201.12886 [cs.LG]

5. Learning to Rotate

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