Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space

Real-world databases are complex and usually require dealing with heterogeneous and mixed data types making the exploitation of shared information between views a critical issue. For this purpose, recent studies based on deep generative models merge all views into a nonlinear complex latent space, which can share information among views.