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 ...

Abstract: This study introduces a novel approach to music generation using a Variational Autoencoder (VAE ... Methodologically, the VAE employs a reparameterization trick and μ-forcing technique to ...

The reparameterization (Kingma and Welling ... A desirable feature of a variational autoencoder is the existence of an interpretable, disentangled latent space, in which different components are ...

An implicit-derivative-based reparameterization trick enables the use of a gamma distribution in a variational autoencoder. The latent variables in the generative model are inferred using the ...

A variational autoencoder (VAE) is a deep neural system that can ... Combining the mean and log-variance in this way is called the reparameterization trick. The discovery of this idea in the original ...