Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case. (arXiv:2206.08309v1 [cs.LG])

Web: http://arxiv.org/abs/2206.08309

In recent years, deep generative models have attracted increasing interest
due to their capacity to model complex distributions. Among those models,
variational autoencoders have gained popularity as they have proven both to be
computationally efficient and yield impressive results in multiple fields.
Following this breakthrough, extensive research has been done in order to
improve the original publication, resulting in a variety of different VAE
models in response to different tasks. In this paper we present Pythae, a
versatile open-source Python …

arxiv benchmarking lg python