This paper proposes a novel hybrid model that synergistically integrates Variational Autoencoders (VAEs) and Speeded-Up Robust Features (SURF) to address these challenges. The VAE component captures ...

Before delving into their evolution, it's essential to understand what autoencoders are and how they function. An autoencoder is ... data from this representation. The primary objective of an ...

of differently parameterized electrical machine topologies at the same time by mapping a high-dimensional integrated design parameters in a lower-dimensional latent space using a variational ...

2.1 Improvement of the objective function of the VAE network Inspired ... At the same time, the loss function of the variational autoencoder (VAE) is improved. By adding a hyperparameter β to the ...

To address this issue, we propose an importance-weighted sampling enhanced Variational Autoencoder (VAE ... propose a new training strategy for VAE by enhancing it with the objective function of IWAE.