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Living in the Physics and Machine Learning Interplay for Earth Observation
[article]
2020
arXiv
pre-print
Most problems in Earth sciences aim to do inferences about the system, where accurate predictions are just a tiny part of the whole problem. Inferences mean understanding variables relations, deriving models that are physically interpretable, that are simple parsimonious, and mathematically tractable. Machine learning models alone are excellent approximators, but very often do not respect the most elementary laws of physics, like mass or energy conservation, so consistency and confidence are
arXiv:2010.09031v1
fatcat:74wsu52rync63j7as2rujrn2mq