ServiceNow Research

Charles Guille-Escuret

Charles Guille-Escuret

Visiting Researcher

Low Data Learning

Charles has joined ServiceNow as a visiting researcher in December 2021 and investigates self-supervised approaches to learn powerful kernels without labels as well as their downstream practical applications. He is currently a third year PhD candidate at the Montreal Institute of Learning Algorithm where his research focuses on theoretical optimization and learning dynamics, with the goal of improving our understanding of how neural networks learn and behave in realistic settings.

Publications