Variational Autoencoder, Multi Omic, Computational Biology.
same dimensionality as the output embedding). K variational autoencoders (one for each omic layer). Each autoencoder is trained to minimize its reconstruction loss. However, there are two subtle differences with canonical variational autoencoders. First: to reconstruct the input, the decoder does