Prerequisites

Students should be comfortable with multivariate calculus, linear algebra, probability, statistics, information theory, and Python programming to register for the course.
Basic knowledge of machine learning (e.g., ESE 4200, CIS 5190, or CIS 5200) would be very useful.

Reference Books

René Vidal, Yi Ma, Shankar Sastry. Generalized Principal Component Analysis. 1st Edition. ISBN: 978-0-387-87810-2

Jakub M. Tomczak. Deep Generative Modeling. 1st Edition.
ISBN: 978-3-030-93157-5