Transformer networks for generic time series prediction

June 17, 2024 — June 17, 2024

language
machine learning
meta learning
neural nets
NLP
stringology
time series
Figure 1

The intersection of transformers for generic time series prediction.

Placeholder.

1 References

Cai, Zhu, Wang, et al. 2024. MambaTS: Improved Selective State Space Models for Long-Term Time Series Forecasting.”
Das, Kong, Sen, et al. 2024. A Decoder-Only Foundation Model for Time-Series Forecasting.” In.
Nguyen, Brandstetter, Kapoor, et al. 2023. ClimaX: A Foundation Model for Weather and Climate.”
Nishikawa, and Suzuki. 2024. State Space Models Are Comparable to Transformers in Estimating Functions with Dynamic Smoothness.”
Zeng, Chen, Zhang, et al. 2023. Are Transformers Effective for Time Series Forecasting? In Proceedings of the AAAI Conference on Artificial Intelligence.