The World of Graph Neural Networks: From the Mystery of Generalization to Foundational Limitations
Gitta Kutyniok
Ludwig-Maximilians-Universität München
Class Type: Spring 2022
A Representative Sampling Method for the Peer Encouragement Design of Network Experiments
Qing Liu
University of Wisconsin–Madison
Neural networks: optimization, transition to linearity and deviations therefrom
Misha Belkin
University of California, San Diego
Using ML to discover the underlying models of medicine
Mihaela van der Schaar
University of Cambridge
Topological Data Analysis That’s Out of This World
Jessi Cisewski-Kehe
University of Wisconsin–Madison
Towards 3D Visual Understanding with Minimal Human Supervision
Yong Jae Lee
University of Wisconsin–Madison
Computational Imaging: Reconciling Physical and Learned Models
Ulugbek Kamilov
Washington University in St. Louis