Transformers can solve in-context change-point detection with model size scaling by knowledge of the shift timing, matching optimal baselines on synthetic data and improving pretrained models on disease and financial forecasting.
Foundation time series models for forecasting and policy evaluation in infectious disease epidemics.medRxiv, February 2025
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In-Context Learning Under Regime Change
Transformers can solve in-context change-point detection with model size scaling by knowledge of the shift timing, matching optimal baselines on synthetic data and improving pretrained models on disease and financial forecasting.