AFTER IMPORTING ALL THE NECESSARY LIBRARIES, TWO PYTHON FILES MADE CVAE_EXP AND CVAE_function. THE FORMER CONTAINS THE AUTOENCODER ARCHITECTURE ... TO FIND THE OPTIMAL HYPERPARAMETERS FOR THE GIVEN ...

Building a Variational Autoencoder (VAE) functionality for MNIST Dataset ... with the objective to minimize the returned value (validation loss) from the objective function. study.optimize runs the ...

Abstract: In the neuroimaging and brain mapping communities, researchers have proposed a variety of computational methods to map functional brain networks ... we proposed a novel generative model: ...

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 ...

However, a fundamental flaw exists in Variational Autoencoder (VAE) based approaches. Specifically, the objective function of VAE (reconstruction loss), deviates from its primary objective (i.e ...