Yes, it is. Variational autoencoders learn to minimize reconstruction error by maximizing the evidence lower bound, known in variational Bayesian inference as the negative variational free energy. Gradient ascent of the evidence lower bound therefore minimizes surprisal, here referring to the negative log-probability of the generated distribution, and it's upper bound, the variational free energy.
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