Emmanuel Doumard

Challenges of Explainability in Continual Learning for Time Series Forecasting

Quentin Besnard, Emmanuel Doumard, Nicolas Labroche, Nicolas Ragot, Nicolas Ringuet

Deep learning models have shown strong potential for time series forecasting, yet their deployment in real-world environmental monitoring remains challenging due to non-stationary dynamics and limited explainability. In this work, we investigate explainability as a central tool f…Read more