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Showing 1–2 of 2 results
Advanced filters: Author: Said Ouala Clear advanced filters

  • End-to-end learning in hybrid numerical models involves solving an optimization problem that integrates the model’s solver. In many fields, these solvers are written in low-abstraction programming languages that lack automatic differentiation. This work presents a practical approach to solving the optimization problem by efficiently approximating the gradient of the end-to-end objective function.

    • Said Ouala
    • Bertrand Chapron
    • Ronan Fablet
    ResearchOpen Access
    Communications Physics
    Volume: 7, P: 1-15

  • Artificial Intelligence is transforming the study of extreme climate events like floods, droughts, and wildfires, helping to overcome challenges such as limited data and real-time integration. This review article highlights the need for transparent, reliable AI models to improve disaster response, risk communication and stakeholder trust.

    • Gustau Camps-Valls
    • Miguel-Ángel Fernández-Torres
    • Tristan Williams
    ReviewsOpen Access
    Nature Communications
    Volume: 16, P: 1-14