Transformer networks for generic time series prediction
June 17, 2024 — June 17, 2024
language
machine learning
meta learning
neural nets
NLP
stringology
time series
Transformers for generic time series prediction.
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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.