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Questions about CausalVAE

See original GitHub issue

In CausalVAE code Is there any special reason why using 4 different decoders?

Besides, for pendulum and flow datasets, the latent space dimension should be equal to the dimension of the label, which is 4. Why the latent space dimension in code is set to be 16?

I checked the Appendix of the paper: we extend the multivariate Gaussian to the matrix Gaussian. Why the model is designed in this way and what are the advantages if we set the VAE in this way?

Many thanks for your response

Issue Analytics

State:
Created 2 years ago
Comments:6

Top GitHub Comments

1reaction

shaido987commented, Feb 23, 2022

Hello, I have been in contact with one of the authors informing/reminding them of your questions here. There should hopefully be a reply soon.

0reactions

alceubissotocommented, Dec 14, 2022

Hi @akdadewrwr, did you manage to get a working code for the celeba experiments from the first author? I’m also interested 😃

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