Dynamical Systems in Deep Generative Modelling
Offered By: Fields Institute via YouTube
Course Description
Overview
Explore the intersection of dynamical systems and deep generative modeling in this 23-minute conference talk by Lisa Maria Kreusser from the University of Bath. Delivered as part of the Fourth Symposium on Machine Learning and Dynamical Systems, delve into the fascinating applications of dynamical systems theory in the realm of deep generative models. Gain insights into how these mathematical concepts contribute to the development and understanding of advanced machine learning techniques for generating complex data patterns.
Syllabus
Dynamical systems in deep generative modelling
Taught by
Fields Institute
Related Courses
Machine Learning with Graphs - Fall 2019Stanford University via YouTube Topographic VAEs Learn Equivariant Capsules - Machine Learning Research Paper Explained
Yannic Kilcher via YouTube Generative Models With Domain Knowledge for Weakly Supervised Clustering
Stanford University via YouTube Deep Generative Models and Stable Diffusion: Revolution in Visual Synthesis - Lecture by Björn Ommer
Lennart Svensson via YouTube Toward Brain Computer Interface - Deep Generative Models for Brain Reading
MITCBMM via YouTube