* = optional reading
| Date | Topic | Readings / Videos | Assignments |
|---|---|---|---|
| 16 Apr |
Introduction (video to follow) |
||
| 23 Apr |
Graphical Models & Monte Carlo Methods |
reading | |
| 27 Apr |
Exercise 01 |
Assignment 1: Why Generative Models | |
| 30 Apr |
Partition Function & RBMs |
reading | |
| 04 May |
Exercise 02 |
Assignment 2: Monte Carlo | |
| 07 May |
Approximate Inference, DBNs & DBMs |
reading | |
| 11 May |
Exercise 03 |
Assignment 3: RBMs | |
| 14 May |
Sigmoid Belief Nets & Deep Generative Networks |
reading | |
| 18 May |
Exercise 04 |
Assignment 4: DBNs | |
| 21 May |
Variational Autoencoders (VAEs) (no lecture, just reading) |
reading | |
| 25 May |
Exercise 05 |
Assignment 5: Differentiable Generator Nets | |
| 28 May |
Generative Adversarial Networks (GANs) |
reading | |
| 04 Jun |
Advanced GAN Techniques |
|
reading |
| 08 Jun |
Exercise 06 |
Assignment 6: VAEs & Density Estimation | |
| 11 Jun |
Autoregressive Networks (ARNs) |
reading | |
| 15 Jun |
Exercise 07 |
Assignment 7: GANs | |
| 18 Jun |
Flow-Based Generative Models |
|
reading |
| 22 Jun |
Exercise 08 |
Assignment 8: Advanced GANs | |
| 25 Jun |
Advanced VAE Techniques |
|
reading |
| 29 Jun |
Exercise 09 |
Assignment 9: Flow | |
| 02 Jul |
Differentiable Digital Signal Processing |
||
| 06 Jul |
Exercise 10 |
Assignment 10: PixelCNN & VQ-VAE | |
| 09 Jul |
Cycle Consistency |
|
reading |