Reviews: Learning Conditional Deformable Templates with Convolutional Networks

Originality: I had a difficult time evaluating the innovation of their method. In terms of image classification, it is not very novel. This is just within the Bayesian nonparametrics community, and so it is likely that more sophisticated methods for learning templates and transformations simultaneously exist in the computer vision literature. Their description of relevant previous work on neural image registration methods was too sparse (Lines 62-84) to provide enough information for me to evaluate. Quality: The framework and methods are sensible and well-executed (although I was disappointed with the authors' answers to the Reproducibility Checklist that the authors were not committed to posting their code and data with a final paper).