5 code implementations • 10 Oct 2023 • Yong liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
These forecasters leverage Transformers to model the global dependencies over temporal tokens of time series, with each token formed by multiple variates of the same timestamp.
1 code implementation • 30 Jan 2023 • Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
A burgeoning paradigm is learning neural operators to approximate the input-output mappings of PDEs.
3 code implementations • 5 Oct 2022 • Haixu Wu, Tengge Hu, Yong liu, Hang Zhou, Jianmin Wang, Mingsheng Long
TimesBlock can discover the multi-periodicity adaptively and extract the complex temporal variations from transformed 2D tensors by a parameter-efficient inception block.