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Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
On line 373 and 374 of models.py, you have "if posterior_conv3 != None: modules.append(posterior_conv4)", which looks strongly like a bug based on the surrounding context. I might be mistaken since...
What command for the lasagne implementation was passed for the MNIST experiment in the paper? In particular, what option modifies the fully connected layer to have 450 neurons?
Hi, I was trying to test the project implementation but I'm running on some errors running the following command `python train.py with problem=cifar10 n_z=32 n_h=64 depths=[2,2,2] margs.depth_ar=1 margs.posterior=down_iaf2_NL margs.kl_min=0.25` `[graphy]...
