Differentiable modelling to unify machine learning and physical models for geosciences
Pennsylvania State University · United States Geological Survey · +18 more institutions
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Abstract
No abstract available for this paper.
Citation impact
380
total citations
- FWCI
- 70.96
- Percentile
- 100%
- References
- 166
Citations per year
Authors
31Topics & keywords
Topics
Keywords
- Interpretability
- Machine learning
- Differentiable function
- Artificial intelligence
- Computer science
- Leverage (statistics)
- Extrapolation
- Artificial neural network
No related works found for this paper.
Funding
- NSNational Science FoundationAwards: 2045235, 2019625, 2015680, 2121621, 2221880, EAR-2221880
- UDU.S. Department of EnergyAwards: SC0020146, DE-SC0016605, SC0016605, DE-SC0020146
- UOUniversity of Pennsylvania
- PSPennsylvania State University
- UGU.S. Geological Survey
- OOOffice of ScienceAward: DE-SC0016605
- IFInstitute for Computational and Data Sciences, Pennsylvania State University
- DODivision of Chemical, Bioengineering, Environmental, and Transport Systems