Xinxin Song

COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series

Time series analysis is crucial in various fields such as healthcare and finance. However, environmental variations and the inherent non-stationarity of time series data often lead to out-of-distribution (OOD) scenarios, consequently causing model performance degradation. Most existing OOD generaliz