The Simulacrum introduces decision-theoretic pretraining for time-series forecasting

The Simulacrum framework learns near-optimal time-series estimators via decision-theoretic pretraining, allowing analysts to specify a generative world and target decision. It claims to outperform existing methods in forecasting and inference.