Abstract: Domain generalization, focusing on training neural networks that generalize well to unseen target domains, is a critical challenge in machine learning. While most existing approaches rely on ...

Abstract: Despite domain generalization (DG) has significantly addressed the performance degradation of pre-trained models caused by domain shifts, it often falls short in real-world deployment.

Time-of-use (TOU) energy tariffs are likely to be the future: cheaper power when the grid is quiet, pricier when demand peaks. Used well, they can cut bills and most importantly cut the amount of ...