04:00
2026-07-23
arxiv.org
machine-learning
Challenges of Explainability in Continual Learning for Time Series Forecasting
A new study from arXiv (2607.19382v1) finds that explainability methods such as attention rollout and Grad-CAM can reveal how continual learning models adapt to non-stationary time series, but also ex…