The Generate app uses a Variational Autoencoder (VAE) that has been trained on millions of melodies and rhythms to learn music qualities. It then renders the musical file into a MIDI file. The output ...

Next, Dear-DIA uses a variational autoencoder to extract the peak features of fragment ions and maps the features into Euclidean space, and then clusters the features, with different classes of ...

Figure 1: Overview of the Constrained Subspace Variational Autoencoder (CS-VAE). The latent space is divided in three parts: (1) the supervised latents decode the labeled body positions, (2) the ...

The rest of this manuscript is organized as follows. In Section 2, the patient data and algorithm were explained. In Section 3, the performance of the autoencoder was analyzed and compared ... the ...

Single-cell RNA sequencing is used to analyze the gene expression data of individual cells, thereby adding to existing knowledge of biological phenomena. Accordingly, this technology is widely used in ...

Then the trained decoder part of the standard autoencoder reconstructs a set of images which form a heatmap explaining the original explained image. In fact, the variational autoencoder plays a role ...