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Most of the tutorials online seem to use VAEs to generate images and use CNNs to generate data. I am working on a game with multivariate data consisting of character position and the character attributes to train a VAE.

I was wondering if it was possible because I have tried training the network with pytorch but I continue to get poor results with KL Divergence term decreasing to 0.

Any help would be really appreciated.

Alex
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The CTGAN paper (github) use a VAE to generate multivariate synthetic data from tabular data. See section 4.5.

al0
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Sure can look at this multivariate timeseries for example: enter image description here

It has nothing to do with pytorch, input is input, regardless. See this paper

Noah Weber
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