Q1: What are the trade-offs between GANs and other generative models? Q2: What sorts of distributions can GANs model? Q3: How can we Scale GANs beyond image synthesis? Q4: What can we say about the...

Q1: What are the trade-offs between GANs and other generative models?

Q2: What sorts of distributions can GANs model?

Q3: How can we Scale GANs beyond image synthesis?

Q4: What can we say about the global convergence of the training dynamics?

Q5: How should we evaluate GANs and when should we use them?

Q6: How does GAN training scale with batch size?

Q7: What is the relationship between GANs and adversarial examples?