Dataset-Driven Channel Masks in Transformers for Multivariate Time Series 事件

Dataset-Driven Channel Masks in Transformers for Multivariate Time Series arXiv:2410.23222v4 Announce Type: replace-cross Abstract: Recent advancements in foundation models have been successfully extended to the time series (TS) domain, facilitated by the emergence of large-scale TS datasets. However, previous efforts have primarily Capturing channel dependency (CD) is essential for modeling multivariate time series (TS), and attention-based methods have been widely employed for this purpose. N