40959 Deep Generative Models

Course Description

Deep Generative Models

Course Information

• Instructor: Hamid Beigy

• Teaching Assistants: Mohaddeseh Mirbeygi.

• Time and Location: Saturday/Monday: 10:30 am - 12:00 am, CE 201, virtual class

• Contact: Please contact the teaching staffs on Piazza site.

Required Texts

1. [BSH] Bishop, Christopher M. and Hugh Bishop, Deep Learning: Foundations and Concepts, Springer, 2024.

2. [MUR] Murphy, Kevin P, Probabilistic Machine Learning: Advanced Topics, The MIT Press, 2023.

3. [TOM] Tomczak, Jakub M., Deep Generative Modeling, Springer, 2024.

Grading Policy

1. 20%: Mid-term exam (1404/01/25).

2. 20%: Final exam (1404/03/26).

3. 35%: Homeworks.

4. 15%: Quiz.

5. 10%: Paper & Explore a theoretical or empirical question and present it. Deadline for choosing paper: 1404/01/25.

6. 5%: Class Activity

Lecture Schedule