CGFM uses an auxiliary model's predictions as the source for flow matching to learn forecast residuals and improve time series forecasts.
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Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching
CGFM uses an auxiliary model's predictions as the source for flow matching to learn forecast residuals and improve time series forecasts.