1010cedf85f6a7e24b087e63235dc12e-AuthorFeedback.pdf

We thank the reviewers for their insightful and valuable feedback and for their unanimous support of the paper.1 Unfortunately, it is not clear that zero-shot can work well6 with strongly entangled pairs because every case could be special. Three insights worth mentioning: (1) Even the7 fully disentangled case is still very challenging. They reflect as-12 sumptions about the noise level in the data-generation process (Suppl L508-513), i.e. that the mapping from the13 core-features (φa and φo) to the image (x) is not too noisy and the latent vector can be recovered from the image.14 We deliberately proposed a model close to baselines (L186)21 to surgically demonstrate the strength of the proposed approach. Instead of learning explicit values for the means, we learn MLPs25 that output the means (using gradient updates L138,143,178).