Abstract: Microwave device design increasingly relies on surrogate modeling to accelerate optimization and reduce costly electromagnetic (EM) simulations. This article presents a spectral Bayesian ...

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...

According to @godofprompt, engineers are increasingly leveraging constraint-based prompting to enhance large language model performance by adding strict parameters to AI prompts, which forces models ...

WSInsight is a fork of WSInfer that delivers end-to-end pathology inference for giga-pixel whole slide images. It scales from laptops to cloud clusters, orchestrates cell detection/classification, ...

In this work, we develop a new framework for designing experiments that are robust to model misspecification through generalised Bayesian inference. This repository contains the files needed to ...