Multi-Quantile Regression
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Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
arXiv:2605.30122v2 Announce Type: replace Abstract: Deep-learning precipitation nowcasting models are often optimized using pointwise losses such as mean squared error or mean absolute error, which can lead to overly smooth forecasts and poor representation of heavy rainfall. This study investigates whether the predictive performance of an established deterministic nowcasting architecture can be improved by reformulating training as a multi-quantile regression problem. Using SmaAt-UNet as a...