SDECast: Probabilistic Weather Forecasting in Continuous Time with Neural SDEs
Existing machine learning weather forecasting models typically generate forecasts through autoregressive rollouts at a fixed temporal resolution. While highly efficient for long-range prediction, this formulation can suffer from severe error accumulation when used with shorter time steps and does…
By Maria Marchenko, Martin Andrae, Fredrik Lindsten, Christian A. NaessetharXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 5, 2026.
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