The paper demonstrates that the sequential autoencoder that's becoming popular in neuroscience is prone to overfitting and propose solutions to address this overfitting. It is overall a good paper. A couple of small issues could be corrected to improve the quality: - Baselines such as dAEs that were in the feedback should be put in the main paper along with running baselines on the real datasets - A discussion of alternatives and baselines to motivate the solution