thunder112358 / VAEs

Collections of VAEs

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VAEs

Collections of VAEs

  • Disentanglement Representations
  • Variational Inference. Find the bound to be close to the real postrior distribution.
  • Dimensionality Reduction
  • Not MLE, Choose Adversarial training procedure(Implicit Variational Inference). Reference: BayesGroup(Russian)
  • Applications

Questions:

  1. What is Amortized Variational inference? Reference: http://wilkeraziz.github.io/slides/24-05-2018-uedin-dgm-vae.pdf Page26-32
  2. Objectie Function of VAE: http://wilkeraziz.github.io/slides/24-05-2018-uedin-dgm-vae.pdf Page 25 (TBD)

A Deep Learning Approach to Data Compression

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Collections of VAEs