"Frequency-domain MLPs are More Effective Learners in Time Series Forecasting."

Kun Yi et al. (2023)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-08-29

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Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS 2023

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