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Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting.

, , , , , and . J. Comput. Phys., (2022)

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Efficient deep data assimilation with sparse observations and time-varying sensors., , , and . CoRR, (2023)Explainable Global Wildfire Prediction Models using Graph Neural Networks., , , , and . CoRR, (2024)Frozen Language Model Helps ECG Zero-Shot Learning., , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 402-415. PMLR, (2023)Error covariance specification and localization in data assimilation with industrial application. (Spécification et localisation de covariance des erreurs en assimilation de données avec une application industrielle).. University of Paris-Saclay, France, (2020)Real-time updating of dynamic social networks for COVID-19 vaccination strategies., , , and . J. Ambient Intell. Humaniz. Comput., 15 (3): 1981-1994 (March 2024)Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting., , , , , and . J. Comput. Phys., (2022)Observation data compression for variational assimilation of dynamical systems., , and . J. Comput. Sci., (2021)ETP: Learning Transferable ECG Representations via ECG-Text Pre-training., , , , and . CoRR, (2023)G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training., , , , , and . CoRR, (2023)Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks., and . CoRR, (2021)