A physically consistent coupled-dipole framework for waveguide-fed metasurfaces that adds radiation-reaction corrections and supports differentiable beamforming optimization validated against full-wave simulations.
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GMRF MCVAE embeds Gaussian Markov Random Fields into VAE prior and posterior distributions to explicitly model cross-component relationships, reporting SOTA results on a synthetic Copula dataset and improved coherence on BIKED.
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2D Waveguide-Fed Metasurfaces: Physically Consistent Modeling, Validation, and Optimization
A physically consistent coupled-dipole framework for waveguide-fed metasurfaces that adds radiation-reaction corrections and supports differentiable beamforming optimization validated against full-wave simulations.
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Multi-Component VAE with Gaussian Markov Random Field
GMRF MCVAE embeds Gaussian Markov Random Fields into VAE prior and posterior distributions to explicitly model cross-component relationships, reporting SOTA results on a synthetic Copula dataset and improved coherence on BIKED.