Abstract: Physics-informed neural networks (PINNs) have been successfully applied in electromagnetism (EM) for the solution of direct problems. However, since PINNs typically do not take system ...
Abstract: This article proposes an inverse design method based on numerical Green’s function (NGF-IDM) to achieve the intelligent and efficient design of waveguide devices. Inspired by the metal ...
Abstract: Recent diffusion models provide a promising zero-shot solution to noisy linear inverse problems without retraining for specific inverse problems. In this paper, we reveal that recent methods ...
In this paper, we study the pure exploration model with general distribution functions, which means that the reward function of each arm depends on the whole distribution, not only its mean. We adapt ...