Control and Machine Learning

Enrique Zuazua discusses the intricate mathematical connections between control theory and machine learning.

How Do Snakes Slither? A Recipe for Reptation

Mark Levi develops a "dynamical recipe for reptation" by analyzing the physics of slithering snakes.

Nonlinear Dynamical Uncertainty Quantification for Random Differential Equations

Kerstin Lux from the Technical University of Munich discusses a new article she co-authored in SIADS on extending bifurcation analysis to random differential equations.

Professional Feature - Mary Silber

Mary Silber is the Director of the Committee on Computational and Applied Mathematics and a Professor in the Department of Statistics at the University of Chicago.

Dynamics-based Machine Learning for Nonlinearizable Phenomena

Haller and colleagues demonstrate how dynamics-based machine learning can be used to construct accurate and predictive reduced-order models from data.