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Feedforward neural networks trained to reconstruct their own input. Usually one of the hidden layers is a "bottleneck", leading to encoder->decoder interpretation.
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Proportion of Variance for Variational Autoencoders
For example for PCA, the proportion of variance explained is proportional to the eigenvalue of the respective feature.
Now for VAEs, is there a way to estimate the amount of variance that is explaine …