Juan Cerviño - Generalization and Efficient Training of Graph Neural Networks

Generalization and Efficient Training of Graph Neural Networks Juan Cervino Remersaro, Postdoctoral Researcher, MIT Juan is a postdoctoral researcher in the Laboratory for Information and Decision Systems (LIDS) at the Massachusetts Institute of Technology, hosted by Professor Navid Azizan. Previously, he was a PhD student in the Department of Electrical and Systems Engineering (ESE) at the University of Pennsylvania, supervised by Professor Alejandro Ribeiro. In 2023, Juan was named a Rising Star in Signal Processing. He received his B.Sc. degree in Electrical Engineering from the Universidad de la República Oriental del Uruguay, Montevideo, in 2018. His current research interests include machine learning, signal processing, optimization, and control.