Abstract: Accurate prediction of pathloss radio maps is essential for the design and optimization of next-generation indoor wireless communication systems. Incorporating sparse pathloss measurements ...

Abstract: In safety-critical engineering applications, such as robust prediction against adversarial noise, it is necessary to quantify neural networks’ uncertainty. Interval neural networks (INNs) ...