My paper titled “Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders”, was published in Neural Computing and Applications. I explore a new supervised training method to create structured latent spaces where specific continuous-valued attributes are forced to be encoded along specific dimensions of the latent space. The full paper is available here. Alternatively, the ArXIV pre-print of the article can be accessed here.