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

Kun Yi et al. (2023)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2311.06184

access: open

type: Informal or Other Publication

metadata version: 2024-08-29

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2311-06184
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2311-06184
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR abs/2311.06184 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.