most citedA Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model

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stat.ML2026

Accounting for model error in ensemble variational data assimilation through learned generative dynamics

Marc Bocquet, Tobias S. Finn, Sibo Cheng

Many approaches have recently been proposed to combine data assimilation with machine learning for improved forecasts with geophysical models. Here, we focus on combining advanced…