Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control. - Giovanni Ziarelli; Nicola Parolini; Marco Verani (CoRR, 2024)

A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts. - Giovanni Ziarelli; Stefano Pagani; Nicola Parolini; Francesco Regazzoni 002; Marco Verani (CoRR, 2024)

SEIHRDV: a multi-age multi-group epidemiological model and its validation on the COVID-19 epidemics in Italy. - Luca Dede'; Nicola Parolini; Alfio Quarteroni; Giulia Villani; Giovanni Ziarelli (CoRR, 2025)

Learning cardiac activation and repolarization times with operator learning. - Edoardo Centofanti; Giovanni Ziarelli; Nicola Parolini; Simone Scacchi; Marco Verani; Luca Franco Pavarino (CoRR, 2025)