Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias

Frederic Koehler, Viraj Mehta, Chenghui Zhou +1

Variational Autoencoders are one of the most commonly used generative models, particularly for image data. A prominent difficulty in training VAEs is data that is supported on a lo…