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Found 4 papers, 1 papers with code
A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design
Metasurfaces have widespread applications in fifth-generation (5G) microwave communication.
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems
To address these challenges, we propose a novel approximation method for estimating the high-dimensional posterior distribution.
A domain-decomposed VAE method for Bayesian inverse problems
Bayesian inverse problems are often computationally challenging when the forward model is governed by complex partial differential equations (PDEs).
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems
In this way, the global features are identified in the coarse-scale with inference of low-dimensional variables and inexpensive forward computation, and the local features are refined and corrected in the fine-scale.
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