This paper proposes a complex recurrent variational autoencoder (VAE) framework ... the reconstruction loss in the proposed model is L1-based loss, considering penalty on both complex and magnitude ...

i.e., graphic, textual, and visual data, and then embed them into high-dimensional spaces using the TransR, distributed memory version of paragraph vector, and variational autoencoder methods, ...