Probabilistic Deep Learning Solutions to Electromagnetic Inverse Scattering Problems Using Conditional Renormalization Group Flow
Author:
Affiliation:
1. School of Electronics, Peking University, Beijing, China
2. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
3. ElectroScience Laboratory, The Ohio State University, Columbus, OH, USA
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Radiation
Link
http://xplorestaging.ieee.org/ielx7/22/9939118/09897092.pdf?arnumber=9897092
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5. RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior;hu;arXiv 2010 00029,2020
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