LIBRE: Learning Interpretable Boolean Rule Ensembles. - Graziano Mita; Paolo Papotti; Maurizio Filippone; Pietro Michiardi (AISTATS, 2020)

Learning Optimal Conditional Priors For Disentangled Representations. - Graziano Mita; Maurizio Filippone; Pietro Michiardi (CoRR, 2020)

An Identifiable Double VAE For Disentangled Representations. - Graziano Mita; Maurizio Filippone; Pietro Michiardi (ICML, 2021)

Toward interpretable machine learning, with applications to large-scale industrial systems data. (Contributions à l'apprentissage automatique interprétable : applications aux données de systèmes industriels à grande échelle). - Graziano Mita (2021)