The advances in machine learning (ML) have greatly improved AI-based
dia...
In recent years, deep neural networks (DNNs) have known an important ris...
In machine learning, classifiers are typically susceptible to noise in t...
Measuring the generalization performance of a Deep Neural Network (DNN)
...
In this work, we study the spectrum of the regularized normalized Laplac...
In this article, we analyze the limiting eigenvalue distribution (LED) o...
Network geometries are typically characterized by having a finite spectr...
Massive multiple-input multiple-output (massive MIMO) and small cell
den...