NuwaTS: a Foundation Model Mending Every Incomplete Time Series

1 code implementation • 24 May 2024 • Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Yuankai Wu

By combining this contrastive loss with the missing data imputation task, we train PLMs to obtain a one-for-all imputation model.

Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach

1 code implementation • 2 Aug 2023 • Chunwei Yang, Xiaoxu Chen, Lijun Sun, Hongyu Yang, Yuankai Wu

To address this gap, we propose an unsupervised method called Floss that automatically regularizes learned representations in the frequency domain.

Anomaly Detection Representation Learning +3