Differentiable modelling to unify machine learning and physical models for geosciences
Chaopeng Shen, Alison Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre M. Tartakovsky, Marco Baity‐Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, C. J. Harman, Martyn Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Yalan Song, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Christopher Rackauckas, Binayak P. Mohanty, Tirthankar Roy, Chonggang Xu, Kathryn Lawson
Topics & Concepts
InterpretabilityMachine learningDifferentiable functionArtificial intelligenceComputer scienceLeverage (statistics)ExtrapolationArtificial neural networkConsistency (knowledge bases)MathematicsMathematical analysisReservoir Engineering and Simulation MethodsHydrological Forecasting Using AISeismic Imaging and Inversion Techniques