This is a re-implementation of the Graph Auto-encoder and Variational Graph Auto-encoder presented here.. This implementation is based on Tensorflow 2 and Spektral.Compared to the original ...

Compound Variational Auto-encoder Abstract: Amortized variational inference (AVI) enables efficient training of deep generative models to scale to large datasets. The quality of the approximate ...

The simulation data is then used to train an variational auto encoder to reduce the dimensionality of the data to 32-sized latent space (vae.py). This took about 10 minutes on single RTX 3090 GPU. 3.

This paper proposes an unsupervised way for Phonocardiogram (PCG) analysis, which uses a revised auto encoder based on distribution density estimation in the latent space. Auto encoders especially ...