interpretability
fact
bullish
A model-agnostic framework using semantic flow can explain forecasting predictions by attributing each forecast horizon to temporally relevant historical lags
We propose a model-agnostic explainability framework that explains forecasting predictions by attributing each forecast horizon to temporally relevant historical lags
Machine Learning (Statistics)29 Aug 2026