most citedPhysics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 15 cited

Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology

Qingsong Xu, Yilei Shi, Jonathan Bamber +3

Accurate hydrological understanding and water cycle prediction are crucial for addressing scientific and societal challenges associated with the management of water resources, part…