Tranformers_Are_What_You_Dont_Need

The best repository showing why transformers don’t work in time series forecasting

1. Are Transformers Effective for Time Series Forecasting? by Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu (The Chinese University of Hong Kong, International Digital Economy Academy (IDEA)) (2022) 🔥🔥🔥🔥🔥
2. LLMs and foundational models for time series forecasting: They are not (yet) as good as you may hope by Christoph Bergmeir (2023) 🔥🔥🔥🔥🔥
3. Transformers Are What You Do Not Need by Valeriy Manokhin (2023) 🔥🔥🔥🔥🔥
4. Deep Learning is What You Do Not Need by Valeriy Manokhin (2022) 🔥🔥🔥🔥🔥
5. Why do Transformers suck at Time Series Forecasting by Devansh (2023)
6. Frequency-domain MLPs are More Effective Learners in Time Series Forecasting by Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu (Bejing Institute of Technology, Tongji University, University of Oxford, Universuty of Technology Sydney, University of Macau, HeFei University of Technology, Macquarie University) (2023) 🔥🔥🔥🔥🔥