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DOE OSTI · 1994110

Physics-guided Machine Learning: from Supervised Deep Networks to Unsupervised Lightweight Models [Slides]

Lin, Youzuo
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Abstract

Machine learning yields great potentials in improving imaging performance (i.e., accuracy and efficiency). The incorporation of governing equation will improve generalization and alleviate label scarcity. Employ physical properties can reduce model complexity and significantly save training cost without compromising accuracy. Combining SciML imaging and edge computing would allow broader applications in energy, medicine, and other domains.

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BibTeXRIS

Lin, Youzuo. 2023-08-05. Physics-guided Machine Learning: from Supervised Deep Networks to Unsupervised Lightweight Models [Slides]. https://doi.org/10.2172/1994110

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