As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …

Underwater acoustic networks (UWANs) are often deployed in unattended and
untransparent or even hostile environments and face many security threats, while many …

Single-particle electron cryomicroscopy (cryo-EM) is a powerful method for determining the
structures of biological macromolecules. With automated microscopes, cryo-EM data can …

Inspired by the recent progress in self-supervised learning for computer vision that
generates supervision using data augmentations, we explore a new general-purpose audio …

Empirical risk minimization (ERM) is typically designed to perform well on the average loss,
which can result in estimators that are sensitive to outliers, generalize poorly, or treat …

We consider the problem of minimizing the sum of a smooth function h with a bounded
Hessian and a nonsmooth function. We assume that the latter function is a composition of a …

One of the most crucial challenges faced by the Li-ion battery community concerns the
search for the minimum time charging without damaging the cells. This goal can be …

Modern nonlinear control theory seeks to develop feedback controllers that endow systems
with properties such as safety and stability. The guarantees ensured by these controllers …

This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …

Pre-trained models are essential as feature extractors in modern machine learning systems
in various domains. In this study, we hypothesize that representations effective for general …