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Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

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I notice that you use `GatedDense` in `self.q_z_layers` to encode `q(z | x)`: ![image](https://user-images.githubusercontent.com/40685673/128307358-b40cb2bf-dc24-4139-9b7b-f0dda32f1152.png) Is there any reason to use GatedDense rather than a simple MLP? Thanks!

Hi, in line 78~80 of VAE.py, when calculating the KL divergence of VampPrior p(z) and posterior q(z|x), we put `z_q` into `N(z_p_mean, z_p_logvar)` and `N(z_q_mean, z_q_logvar)` then calculate the difference...

I'm unsure of the role the pseudo inputs play in generation using a Vamp Propr. This is likey my lack of understanding of your paper because I find it hard...

Trying to get this working today, but I'm getting the following error: # python experiment.py --dataset_name=cifar10 load data Files already downloaded and verified create model Traceback (most recent call last):...