Skip to content

Latest commit

 

History

History
16 lines (5 loc) · 586 Bytes

Variational Inference with Normalizing Flows.md

File metadata and controls

16 lines (5 loc) · 586 Bytes

One of the best papers I read recently! A very good note can be found here https://casmls.github.io/general/2016/09/25/normalizing-flows.html

An open question, as described in the reference note: ``whether the proposed normalizing flows is a universal approximator of all the distributions when the number of layers go to infinity." Two technical questions: Do we still need to assume P(z_0) as a Gaussian distribution? Why is the model not scalable regarding to high-dimensional latent space?