Graphs can be leveraged to model polyphonic multitrack symbolic music, w...
While showing impressive performance on various kinds of learning tasks,...
The recently introduced weakly disentangled representations proposed to ...
Disentanglement is a difficult property to enforce in neural representat...
The polyphonic nature of music makes the application of deep learning to...
Typical EEG-based BCI applications require the computation of complex
fu...
We address the challenging open problem of learning an effective latent ...
We address the challenging open problem of learning an effective latent ...