This study led to the development of a variational autoencoder (VAE) for estimating the chronological age of subjects using feature values extracted from their teeth. Further, it determined how given ...
As a class of biologically active molecules with significant immunomodulatory and anti-inflammatory effects, anti-inflammatory peptides have important application value in the medical and ...
Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...
This repository contains a pytorch (+ pytorch_lightning) implementation of the Variational Fair Autoencoder (VFAE) as proposed in "The Variational Fair Autoencoder". The code was written in order to ...
Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...
Abstract: This study introduces a novel approach that combines a variational autoencoder and Bayesian optimization to accelerate the simultaneous parameter and topology optimization of interior ...
Abstract: This article presents a new regularization of the latent space of a variational autoencoder that facilitates the visual selection of specific emotions of generated monophonic musical ...
This project presents a comprehensive implementation of a Variational Autoencoder system designed for unsupervised anomaly detection in high-dimensional datasets. The implementation emphasizes ...
How VAEs improve over vanilla autoencoders, a working 3-hidden-layer implementation, and a practical blueprint for defect detection in industrial coils. Variational Autoencoders (VAEs) are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results