Global Institute for Water Security

most citedDifferentiable modeling to unify machine learning and physical models and advance Geosciences

466 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

A. Langousis1 · h 27
E. Volpi1 · h 28
Georgia A. Papacharalampous1 · h 23
Hristos Tyralis1 · h 23
S. Grimaldi1 · h 38
S. Khatami1 · h 13
S. Papalexiou1 · h 37

collaborating institutions

University of SaskatchewanCA2 papers
Bolin Centre for Climate ResearchSE1 paper
Columbia UniversityUS1 paper
Czech University of Life Sciences PragueCZ1 paper
Hellenic Air ForceGR1 paper
Johns Hopkins UniversityUS1 paper
King Abdullah University of Science and TechnologySA1 paper
Lawrence Berkeley National LaboratoryUS1 paper
Los Alamos National LaboratoryUS1 paper
Massachusetts Institute of TechnologyUS1 paper
National Technical University of AthensGR1 paper
New York UniversityUS1 paper

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cs.LG2023★ 466 cited

Differentiable modeling to unify machine learning and physical models and advance Geosciences

Chaopeng Shen, Alison P. Appling, Pierre Gentine +27

Process-Based Modeling (PBM) and Machine Learning (ML) are often perceived as distinct paradigms in the geosciences. Here we present differentiable geoscientific modeling as a powe…