MMAF-guided learning constrains neural network training with Ornstein-Uhlenbeck process structure to generate calibrated spatio-temporal ensemble forecasts, where shallow feed-forward networks perform comparably to or better than convolutional or diffusion models.
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Spatio-temporal probabilistic forecast using MMAF-guided learning
MMAF-guided learning constrains neural network training with Ornstein-Uhlenbeck process structure to generate calibrated spatio-temporal ensemble forecasts, where shallow feed-forward networks perform comparably to or better than convolutional or diffusion models.