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Tagged with bayesian-deep-learning variational-autoencoder
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Are some low dimensional distributions known to be hard to model with VAEs?
I am trying to implement a toy VAE project.
My goal is to use a VAE to model the moon dataset from scikit-learn, with an extra constant (but noisy) z-dimension.
To this end I use an approximate ...
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