Giulia Prando

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 13

Top Topics

Brain Connectivity

Maximum Entropy

Bayesian Methods

Top Venues

Publications

Alexis Bellot, Anish Dhir, Giulia Prando
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage. CoRR (2022)
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, Saurabh Johri
Learning medical triage from clinicians using Deep Q-Learning. CoRR (2020)
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Maurizio Corbetta, Marco Zorzi, Alessandro Chiuso
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. NeuroImage 208 (2020)
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
The role of noise modeling in the estimation of resting-state brain effective connectivity. CoRR (2018)
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso
Estimating effective connectivity in linear brain network models. CDC (2017)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Maximum Entropy vector kernels for MIMO system identification. Autom. 79 (2017)
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian system identification. ECC (2016)
Giulia Prando, Diego Romeres, Alessandro Chiuso
Online Identification of Time-Varying Systems: a Bayesian approach. CoRR (2016)
Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. ECC (2016)
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian System Identification. CoRR (2016)
Giulia Prando, Diego Romeres, Alessandro Chiuso
Online identification of time-varying systems: A Bayesian approach. CDC (2016)
Giulia Prando, Alessandro Chiuso
Model reduction for linear bayesian system identification. CDC (2015)
Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
Maximum Entropy Vector Kernels for MIMO system identification. CoRR (2015)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties. CDC (2014)
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties. CoRR (2014)