A conditioned progressively growing WGAN with surrogate physics loss and DPP diversity generates diverse realizable metasurface absorbers achieving 0.0052 average MSE, 0.8730 diversity, 0.8533 band alignment, and 89.57% valid EM designs.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Proposes applying social choice theory as a modeling language and axiomatic tool for incorporating collective input across the ML development pipeline.
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Inverse Design of Realizable Metasurface based Absorbers using Improved Conditioning and Diversity Enhanced Progressively Growing GANs
A conditioned progressively growing WGAN with surrogate physics loss and DPP diversity generates diverse realizable metasurface absorbers achieving 0.0052 average MSE, 0.8730 diversity, 0.8533 band alignment, and 89.57% valid EM designs.
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AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence
Proposes applying social choice theory as a modeling language and axiomatic tool for incorporating collective input across the ML development pipeline.