Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks. - Artem Maevskiy; Denis Derkach; Nikita Kazeev; Andrey Ustyuzhanin; Maksim Artemev; Lucio Anderlini (CoRR, 2019)

Design and performance of the LHCb trigger and full real-time reconstruction in Run 2 of the LHC - Roel Aaij; Michael Alexander Alejandro; Alfonso Albero; Silvia Amerio; Lucio Anderlini; Alexander Baranov; Sean Benson; Dana Bobulska; Thomas Boettcher; Silvia Borghi; Loic Brarda; Christopher Burr; et al. (JINST, 2019)

Hyperparameter Optimisation of Artificial Intelligence for Digital REStoration of Cultural Heritages (AIRES-CH) Models. - Alessandro Bombini; Lucio Anderlini; Luca dell'Agnello; Francesco Giacomini; Chiara Ruberto; Francesco Taccetti (ICCSA (Workshops 1), 2022)

The AIRES-CH Project: Artificial Intelligence for Digital REStoration of Cultural Heritages Using Nuclear Imaging and Multidimensional Adversarial Neural Networks. - Alessandro Bombini; Lucio Anderlini; Luca dell'Agnello; Francesco Giaocmini; Chiara Ruberto; Francesco Taccetti (ICIAP (1), 2022)

Towards Reliable Neural Generative Modeling of Detectors. - Lucio Anderlini; Matteo Barbetti; Denis Derkach; Nikita Kazeev; Artem Maevskiy; Sergei Mokhnenko (CoRR, 2022)

Generative models uncertainty estimation. - Lucio Anderlini; Constantine Chimpoesh; Nikita Kazeev; Agata Shishigina (CoRR, 2022)

A Study of the Radiation Tolerance and Timing Properties of 3D Diamond Detectors. - Lucio Anderlini; Marco Bellini; Vladimir Cindro; Chiara Corsi; Keida Kanxheri; Stefano Lagomarsino; Chiara Lucarelli; Arianna Morozzi; Giovanni Passaleva; Daniele Passeri; Silvio Sciortino; Leonello Servoli; et al. (Sensors, 2022)

Hyperparameter Optimization as a Service on INFN Cloud. - Matteo Barbetti; Lucio Anderlini (CoRR, 2023)

The LHCb ultra-fast simulation option, Lamarr: design and validation. - Lucio Anderlini; Matteo Barbetti; Simone Capelli; Gloria Corti; Adam Davis; Denis Derkach; Nikita Kazeev; Artem Maevskiy; Maurizio Martinelli; Sergei Mokonenko; Benedetto Gianluca Siddi; Zehua Xu (CoRR, 2023)