On two French groundwater time series, attention-based replay sampling looks more structured and interpretable than random or loss-based alternatives, but the paper reports no numeric metrics to support its performance claims.
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Challenges of Explainability in Continual Learning for Time Series Forecasting
On two French groundwater time series, attention-based replay sampling looks more structured and interpretable than random or loss-based alternatives, but the paper reports no numeric metrics to support its performance claims.