:: Library Catalog

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Dades bibliogràfiques
Autors principals:	Behrens, Gunnar, Beucler, Tom, Iglesias-Suarez, Fernando, Yu, Sungduk, Gentine, Pierre, Pritchard, Michael, Schwabe, Mierk, Eyring, Veronika
Format:	Recurso digital
Idioma:
Publicat:	Zenodo 2025
Accés en línia:	https://doi.org/10.1029/2024MS004272
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

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Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model
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Quantum-Enhanced Convergence of Physics-Informed Neural Networks
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Fisher Information, Training and Bias in Fourier Regression Models
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Quantum Machine Learning for Climate Modelling
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Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
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Deep Generative Data Assimilation in Multimodal Setting
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Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications
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