Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties. - Giulia Prando; Alessandro Chiuso; Gianluigi Pillonetto (CDC, 2014)

Model reduction for linear bayesian system identification. - Giulia Prando; Alessandro Chiuso (CDC, 2015)

Online identification of time-varying systems: A Bayesian approach. - Giulia Prando; Diego Romeres; Alessandro Chiuso (CDC, 2016)

Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. - Giulia Prando; Diego Romeres; Gianluigi Pillonetto; Alessandro Chiuso (ECC, 2016)

On-line Bayesian system identification. - Diego Romeres; Giulia Prando; Gianluigi Pillonetto; Alessandro Chiuso (ECC, 2016)

Estimating effective connectivity in linear brain network models. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CDC, 2017)

Maximum Entropy vector kernels for MIMO system identification. - Giulia Prando; Alessandro Chiuso; Gianluigi Pillonetto (Autom., 2017)

The role of noise modeling in the estimation of resting-state brain effective connectivity. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CoRR, 2018)

Learning medical triage from clinicians using Deep Q-Learning. - Albert Buchard; Baptiste Bouvier; Giulia Prando; Rory Beard; Michail Livieratos; Dan Busbridge; Daniel H. Thompson; Jonathan G. Richens; Yuanzhao Zhang; Adam Baker; Yura Perov; Kostis Gourgoulias; et al. (CoRR, 2020)

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Maurizio Corbetta; Marco Zorzi; Alessandro Chiuso (NeuroImage, 2020)

Generalization bounds and algorithms for estimating conditional average treatment effect of dosage. - Alexis Bellot; Anish Dhir; Giulia Prando (CoRR, 2022)