Philippe Robert

Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data

Interpretable modeling of heterogeneous data channels is essential in medical applications, for example when jointly analyzing clinical scores and medical images. Variational Autoencoders (VAE) are powerful generative models that learn representations of complex data. The flexibility of VAE may come…