Reading Assignment 9: Flow-Based Generative Models

• Chapter 22 from Probabilistic Machine Learning: Normalizing Flows

Former Reading Assignment (optional)

• Lilian Weng’s blog post on Flow-based Deep Generative Models
• Eric Jang’s tutorial on Normalizing Flows + part 2
• Section 3 of “An Introduction to Variational Autoencoders” by Diederik P. Kingma & Max Welling
• revisit parallel WaveNet (bonus on reading assignment 7)

Feel free to share additional papers or other resources you come across!