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Differentiable modelling to unify machine learning and physical models for geosciences - Nature Reviews Earth & Environment
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Process-based modelling offers interpretability and physical consistency in many domains of geosciences but struggles to leverage large datasets efficiently. Machine-learning methods, especially deep networks, have strong predictive skills yet are unable to answer specific scientific questions.
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