Explore a dynamical systems approach to measure transport and generative modeling in this 26-minute conference talk by Lorenz Richter from Zuse Institute Berlin. Delivered at the Fourth Symposium on Machine Learning and Dynamical Systems, gain insights into the intersection of dynamical systems theory and machine learning techniques for measure transport and generative modeling applications.
A Dynamical Systems Perspective on Measure Transport and Generative Modeling
Overview
Syllabus
A dynamical systems perspective on measure transport and generative modeling
Taught by
Fields Institute
Related Courses
-
Dynamical Systems in Deep Generative Modelling
-
Dynamical Modeling Methods for Systems Biology
4.0 -
Learning Dynamical Systems
-
Koopman Operator Theory Based Machine Learning of Dynamical Systems
-
Machine Learning and Dynamical Systems Meet in Reproducing Kernel Hilbert Spaces
-
Non-Euclidean Generative Modeling
