YoVDO

Non-Euclidean Generative Modeling

Offered By: Fields Institute via YouTube

Tags

Machine Learning Courses Data Analysis Courses Robotics Courses Computer Vision Courses Dynamical Systems Courses Generative Modeling Courses Non-Euclidean Geometry Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore non-Euclidean generative modeling in this 31-minute conference talk by Molei Tao from Georgia Institute of Technology, presented at the Fourth Symposium on Machine Learning and Dynamical Systems. Delve into advanced concepts that bridge the gap between machine learning and dynamical systems, focusing on innovative approaches to generative modeling in non-Euclidean spaces. Gain insights into cutting-edge research and potential applications in fields such as computer vision, robotics, and data analysis.

Syllabus

Non-Euclidean Generative Modeling


Taught by

Fields Institute

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent