In the paper Chen, Kingma et al. Variational Lossy Encoder it discusses about the possibility of VAE ignoring the latent code.
On p.4 it says this:
“one common way to encourage putting information into the code is to use a factorized decoder p(x|z) = prod_i p(x_i|z)”
where “putting information into the code” meaning into the latent, z.
see screenshot at https://imgur.com/a/J79sEPR
My question: can anyone explain this: Why does using a factorized decoder encourage the latent to be used?
In their notation, I believe x_i are individual dimensions of the output, such as individual pixels of an image.
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