Probabilistic Deep Learning Solutions to Electromagnetic Inverse Scattering Problems Using Conditional Renormalization Group Flow

Research article (IEEE Transactions on Microwave Theory and Techniques, 2022) · cited 28× · AI/ML
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Probabilistic Deep Learning Solutions to Electromagnetic Inverse Scattering Problems Using Conditional Renormalization Group Flow

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Probabilistic Deep Learning Solutions to Electromagnetic Inverse Scattering Problems Using Conditional Renormalization Group Flow is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Probabilistic Deep Learning Solutions to Electromagnetic Inverse Scattering Problems Using Conditional Renormalization Group Flow. Retrieved May 24, 2026, from https://4ort.xyz/entity/probabilistic-deep-learning-solutions-to-electromagnetic-inverse-scattering-problems-using-conditional-renormalization-g
MLA “Probabilistic Deep Learning Solutions to Electromagnetic Inverse Scattering Problems Using Conditional Renormalization Group Flow.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/probabilistic-deep-learning-solutions-to-electromagnetic-inverse-scattering-problems-using-conditional-renormalization-g.
BibTeX @misc{4ortxyz_probabilistic-deep-learning-solutions-to-electromagnetic-inverse-scattering-problems-using-conditional-renormalization-g_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Probabilistic Deep Learning Solutions to Electromagnetic Inverse Scattering Problems Using Conditional Renormalization Group Flow}}, year = {2026}, url = {https://4ort.xyz/entity/probabilistic-deep-learning-solutions-to-electromagnetic-inverse-scattering-problems-using-conditional-renormalization-g}, note = {Accessed: 2026-05-24}}
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