To address the above issues, a novel normalized variational auto-encoder model with an adaptive activation function (NVAE-AAF) is proposed in this article. The batch normalization and the adaptive ...

This repository contains the implementation of a Variational Autoencoder (VAE) designed to learn and generate even numbers from the MNIST dataset. The VAE uses convolutional units in its encoder for ...

N. Cheng, O. A. Malik, S. Becker, A. Doostan. Bi-fidelity Variational Auto-encoder for Uncertainty Quantification. Computer Methods in Applied Mechanics and Engineering, 2024. The paper is available ...

In particular, variational autoencoders are capable of modeling highly complex natural distributions such as images, while extracting natural and human-understandable features without labels. In this ...

To address the above issues, a novel normalized variational auto-encoder model with an adaptive activation function (NVAE-AAF) is proposed in this article. The batch normalization and the adaptive ...