Deep Generative Models

Fall 2026

Updates

[Oct 11] Final Exam: In person on December 11, 2026 from 3:00 - 5:00 PM Eastern Time in NBS AUD.
[Nov 10] Upcoming assessments and Final Project:
- Homework 3 due: 11/24/2026, 12:00 PM (Noon) Eastern Time.
- Quiz 3 (in-person): 11/24/2026, 1:45 PM Eastern Time, AGH 203.
- Final Project: Text-Driven Image Editing — report due 12/11/2026, 12:00 PM (Noon) Eastern Time.
If you have any questions, feel free to reach out via Ed Discussion or come to office hours.
[Oct 11] Homework 2 has been posted on Canvas under the Assignments section. Please review the instructions in the problem set and submit your solutions on Gradescope.
- Homework 2 due: 10/22/2026, 12:00 PM (Noon) Eastern Time.
- Quiz 2 (in-person): 10/22/2026, 1:45 PM Eastern Time, AGH 203.
If you have any questions, feel free to reach out via Ed Discussion or come to office hours.

📖 Course Description

Generative models have found widespread applications in science and engineering. Recent progress in deep learning has enabled the application of generative models to complex high-dimensional data such as images, videos, text and speech. This course will cover state-of-the-art deep generative models, including variational autoencoders (VAEs), auto-regressive models, diffusion models, and generative adversarial networks (GANs). The course will also illustrate various applications of deep generative models to image and video generation, text and speech generation, image captioning, text-to-image generation, and inverse problems.