Abstract: Estimation of distribution algorithms (EDAs) face substantial difficulty in navigating complex landscapes efficiently due to predefined prior assumptions. Deep generative model-based EDAs ...
This project implements a Variational Autoencoder (VAE) for generating face images from the CelebA dataset. The VAE learns a probabilistic latent representation of faces and can generate new faces by ...
This project presents a comprehensive implementation of a Variational Autoencoder system designed for unsupervised anomaly detection in high-dimensional datasets. The implementation emphasizes ...
Abstract: Large-scale industrial processes are characterized by complex reaction mechanisms and strong correlation among operational units, which makes it more difficult to extract the temporal ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results