Schedule Overview
This is a 7-week half-semester course (Mini 3) meeting Tuesdays and Thursdays for 80 minutes each. The schedule below is tentative and subject to changes.
Course Overview by Week
| Week | Topics | Deliverables |
|---|---|---|
| Week 1-2 | Probabilistic & generative modeling Denoising diffusion models Score-based SDEs | HW 1 (15%) |
| Week 3-4 | Flow Matching Fast sampling algorithms Controllable generation | HW 2 (15%) |
| Week 5 | Distillation & consistency models Flow maps SOTA conditional models | HW 3 (20%) |
| Week 6 | Discrete diffusion Discrete flow matching | |
| Week 7 | Final presentations & buffer | HW 4 (20%) Final Presentation (15%) |
Lecture Schedule
Below is the tentative schedule of the course (subject to changes).
| Lecture | Date | Topic | Resources |
|---|---|---|---|
| 1 | 01/13-01/15 | Basics of Probabilistic & Generative Modeling | |
| 2 | 01/15-01/20 | Denoising Diffusion Models | |
| 3 | 01/20-01/22 | Score-Based SDEs | |
| 4 | 01/27-01/29 | Flow Matching | |
| 5 | 02/03 | Fast Sampling Algorithms | |
| 6 | 02/05 | Controllable Generation | |
| 7 | 02/10 | Distillation, Consistency Models & Flow Maps | |
| 8 | 02/12 | SOTA Conditional Diffusion/Flow Models | |
| 9 | 02/17 | Discrete Diffusion | |
| 10 | 02/19 | Discrete Flow Matching |