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Transformer-based and CNN-based methods demonstrate strong performance in long-term time series forecasting.
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Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
Wu, H., Xu, J., Wang, J., and Long, M · 2021
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Yin, X., Wu, G., Wei, J., Shen, Y., Qi, H., and Yin, B · 2021
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Graph-less neural networks: Teaching old mlps new tricks via distillation
Zhang, S., Liu, Y., Sun, Y., and Shah, N · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting
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Tsmixer: An all-mlp architecture for time series forecasting
Chen, S.-A., Li, C.-L., Yoder, N., Arik, S. O., and Pfister, T · 2023
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Long-term forecasting with tide: Time-series dense encoder
Das, A., Kong, W., Leach, A., Mathur, S., Sen, R., and Yu, R · 2023
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Linkless link prediction via relational distillation
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A time series is worth 64 words: Long-term forecasting with transformers
Nie, Y., Nguyen, N. H., Sinthong, P., and Kalagnanam, J · 2023
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Wang, H., Peng, J., Huang, F., Wang, J., Chen, J., and Xiao, Y · 2023
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Transformers in vision: A survey
Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., and Shah, M · 2022
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Non-stationary transformers: Exploring the stationarity in time series forecasting
Liu, Y., Wu, H., Wang, J., and Long, M · 2022
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Transformers in time series: A survey
Wen, Q., Zhou, T., Zhang, C., Chen, W., Ma, Z., Yan, J., and Sun, L · 2022
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Timesnet: Temporal 2d-variation modeling for general time series analysis
Wu, H., Hu, T., Liu, Y., Zhou, H., Wang, J., and Long, M · 2022
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Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks
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Less is more: Fast multivariate time series forecasting with light sampling-oriented mlp structures
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Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting
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Interpretable weather forecasting for worldwide stations with a unified deep model
Wu, H., Zhou, H., Long, M., and Wang, J · 2023
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Frequency-domain MLPs are more effective learners in time series forecasting
Yi, K., Zhang, Q., Fan, W., Wang, S., Wang, P., He, H., An, N., Lian, D., Cao, L., and Niu, Z · 2023
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Zeng, A., Chen, M., Zhang, L., and Xu, Q · 2023
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Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting
Zhang, Y. and Yan, J · 2023
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The foundation model transparency index v1. 1: May 2024
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The capacity and robustness trade-off: Revisiting the channel independent strategy for multivariate time series forecasting
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Sparsetsf: Modeling long-term time series forecasting with 1k parameters
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itransformer: Inverted transformers are effective for time series forecasting
Liu, Y., Hu, T., Zhang, H., Wu, H., Wang, S., Ma, L., and Long, M · 2024
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Moderntcn: A modern pure convolution structure for general time series analysis
Luo, D. and Wang, X · 2024
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