TSAE: Structured Sparse Autoencoders for Interpreting Time-Series Forecasting Models
Time-series forecasting informs critical decisions in energy dispatch, industrial operations, and environmental monitoring; understanding the patterns models rely on is essential for assessing reliability and identifying failures. Input attribution identifies important variables and time segments but offers limited ins...
Bao-Xi Liu, Yi Xie
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