NextGen Synergy: Control Theory and Machine Learning

Session

SESSION V

Apr 28, 2026, 10:50 AM

63. Invited Talk: Machine Learning from a Control Perspective

Enrique Zuazua (Friedrich-Alexander-Universität Erlangen–Nürnberg — Alexander von Humboldt Professorship, Germany)

4/28/26, 10:50 AM

Invited Talk

Machine Learning has emerged as one of the most transformative forces in contemporary science and technology. In this lecture, I will discuss Machine Learning through the lens of applied mathematics, highlighting its connections with control theory, partial differential equations, and numerical analysis.

25. Controllability on landmark manifolds with applications to shapes and Neural ODEs

4/28/26, 11:50 AM

Control Theory for Machine Learning

Accept as Oral presentation with Reimbursement

42. When beliefs about reality influence reality—May ML result in sticking in belief-distorted Nash equilibria?

4/28/26, 12:10 PM

Control Theory for Machine Learning

Accept as Poster presentation with Reimbursement