[2] Luo, Donghao, and Xue Wang. "ModernTCN: A modern pure convolution structure for general time series analysis." The Twelfth International Conference on Learning Representations. 2024.

[3] Wang, Shiyu, et al. "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting." The Twelfth International Conference on Learning Representations. 2024.

[4] Cao, Defu, et al. "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting." The Twelfth International Conference on Learning Representations. 2023.

[5] Huang, Hongbin, Minghua Chen, and Xiao Qiao. "Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns." The Twelfth International Conference on Learning Representations. 2024.

[6] Lee, Seunghan, Taeyoung Park, and Kibok Lee. "Soft Contrastive Learning for Time Series." The Twelfth International Conference on Learning Representations. 2024.

[7] Darlow, Luke Nicholas, et al. "Dam: A foundation model for forecasting." The Twelfth International Conference on Learning Representations. 2023.