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Summary: A framework for learning complex structured output representations is presented. To this end variational auto-encoders (VAE) are extended to conditional VAEs,' i.e., conditioned on the input data x. Quality - The paper is mostly well written, could however be improved occasionally. Clarity - The idea is clearly presented but some details are missing. Originality - Conditional VAEs seem to be a straightforward extension of standard VAEs, but certainly worth a discussion Significance - The significance could be improved by a more extensive evaluation showing results for various modifications Comments: - I think the term generative is typically used when learning distributions that also involve the input data.