A Continuous Convolutional Trainable Filter for Modelling Unstructured Data. - Dario Coscia; Laura Meneghetti; Nicola Demo; Giovanni Stabile; Gianluigi Rozza (CoRR, 2022)

Generative Adversarial Reduced Order Modelling. - Dario Coscia; Nicola Demo; Gianluigi Rozza (CoRR, 2023)

Physics-Informed Neural networks for Advanced modeling. - Dario Coscia; Anna Ivagnes; Nicola Demo; Gianluigi Rozza (J. Open Source Softw., 2023)

PINA: Physics-Informed Neural networks for Advanced modeling. - Dario Coscia; Anna Ivagnes; Nicola Demo; Gianluigi Rozza (Zenodo, 2023)

BARNN: A Bayesian Autoregressive and Recurrent Neural Network. - Dario Coscia; Max Welling; Nicola Demo; Gianluigi Rozza (CoRR, 2025)

BLIPs: Bayesian Learned Interatomic Potentials. - Dario Coscia; Pim de Haan; Max Welling (CoRR, 2025)