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cs.LG2022★ 1 cited
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders
Lisa Bonheme, Marek Grzes
When training a variational autoencoder (VAE) on a given dataset, determining the optimal number of latent variables is mostly done by grid search: a costly process in terms of com…
cs.LG2022★ 1 cited
How do Variational Autoencoders Learn? Insights from Representational Similarity
Lisa Bonheme, Marek Grzes
The ability of Variational Autoencoders (VAEs) to learn disentangled representations has made them popular for practical applications. However, their behaviour is not yet fully und…