IEEE

Automatically Inverse Design of FSSs by Conditional Variational Autoencoder and Equivalent Circuit Models With Large Language Models

Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
IEEE

Efficient Multiview Nonlinear Correspondence With Variational GP Mixtures

We present an Efficient Multiview Nonlinear Correspondence with Variational Gaussian Process Mixtures (EMNC-VGPM), which is a fully Bayesian framework for learning shared latent representations across ...