TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

no code implementations • 29 Feb 2024 • Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong liu, Yunzhong Qiu, Haoran Zhang, Jianmin Wang, Mingsheng Long

Experimentally, TimeXer significantly improves time series forecasting with exogenous variables and achieves consistent state-of-the-art performance in twelve real-world forecasting benchmarks.

Time Series Time Series Forecasting

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

no code implementations • 4 Feb 2024 • Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long

To emphasize temporal correlation modeling, this paper proposes TimeSiam as a simple but effective self-supervised pre-training framework for Time series based on Siamese networks.

Contrastive Learning Data Augmentation +1