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Found 2 papers, 2 papers with code
Integrating Uncertainty Awareness into Conformalized Quantile Regression
The reason is that the prediction intervals of CQR do not distinguish between two forms of uncertainty: first, the variability of the conditional distribution of $Y$ given $X$ (i. e., aleatoric uncertainty), and second, our uncertainty in estimating this conditional distribution (i. e., epistemic uncertainty).
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
This study explores an application of machine learning (ML) models as post-processing tools for subseasonal forecasting.
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