Submitted by Dear-Vehicle-3215 t3_yk17qn in MachineLearning
Dear-Vehicle-3215 OP t1_iuren5w wrote
Reply to comment by agent229 in [D] About the evaluation of the features extracted by an Autoencoder by Dear-Vehicle-3215
Yes, I know that I can calculate the jacobian with autograd, but the problem is that in the paper they use a particular formulation given that they have sigmoid non-linearity https://ibb.co/8xGQkZ6.
Regarding MC and t-SNE, I will investigate.
i-heart-turtles t1_iusf0zy wrote
Generally I think there should be more efficient ways of doing what you want without having to compute the full Jacobian- people do similar things in adversarial robustness so you can have a look.
https://arxiv.org/abs/1907.02610
https://arxiv.org/abs/1901.08573
I think you should check the stuff on evaluating for disentanglement. This paper could also be useful for u: https://arxiv.org/abs/1812.06775. For vae disentanglement better Jacobian is close to orthogonal than just small norm.
Dear-Vehicle-3215 OP t1_iuvdmqs wrote
Thank you very much for these pointers!
I will investigate
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