'hyperparameter setting for gamma and capacity in beta_VAE

I recently read this paper Burgess, Christopher P., et al. "Understanding disentangling in beta-VAE." arXiv preprint arXiv:1804.03599 (2018).

In this paper, the objective function is this:

In the experiment, the authors just set C to be 25 and gamma to be 1000. I wonder why they set them as these values. Because I want to get a sense of how I should set them for my own dataset if I use this objective function.

deep-learning autoencoder

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'hyperparameter setting for gamma and capacity in beta_VAE

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