arXiv Machine Learning June 30, 2026 By Leonardo Bardi, Imma Valentina Curato, Lorenzo Proietti

Spatio-temporal probabilistic forecast using MMAF-guided learning

Read the original on arXiv Machine Learning →

arXiv:2603. 15055v3 Announce Type: replace-cross Abstract: We present a theory-guided generalized Bayesian methodology for spatio-temporal raster data, which we use to train an ensemble of stochastic feed-forward neural networks with Gaussian-distributed weights.

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