variational autoencoder (VAE) and subsequently apply it to cross-modal information recovery and enhancement. For a cross-modal system with two modalities, our MIMO VAE consists of two encoders and two ...

We propose a novel recommendation approach called SI-VAE that incorporates side information with the variational autoencoders (VAEs ... information and side information as input, and adopts an encoder ...

Variational Autoencoders (VAEs) [8]: Use probabilistic latent spaces for structured feature learning. Figure 1. Basic Autoencoder architecture, showing encoder and decoder components [22]. Figure 2.

This project implements a convolutional autoencoder for image denoising using the MNIST handwritten digit dataset. The autoencoder learns to remove artificially added noise from digit images, ...