Lucio Anderlini

According to our database, Lucio Anderlini authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Hyperparameter Optimization as a Service on INFN Cloud.

Matteo Barbetti, Lucio Anderlini

CoRR, 2023

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, Michele Veltri

Sensors, 2022

Generative models uncertainty estimation.

Lucio Anderlini, Constantine Chimpoesh, Nikita Kazeev, Agata Shishigina

CoRR, 2022

Towards Reliable Neural Generative Modeling of Detectors.

Lucio Anderlini, Matteo Barbetti, Denis Derkach, Nikita Kazeev, Artem Maevskiy, Sergei Mokhnenko

CoRR, 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

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

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

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

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, Marco Cattaneo, Mohamed Chebbi, Maximilien Chefdeville, Stefan-Gabriel Chitic, Marco Clemencic, Joel Closier, Benjamin Couturier, Mohammed Daoudi, Michel de Cian, Francesco Dettori, Lauren Douglas, Karlis Dreimanis, Giulio Dujany, Paolo Durante, Agnieszka Dziurda, Conor Fitzpatrick, Markus Frank, Clara Gaspar, Philippe Ghez, Vladimir Gligorov, Ekaterina Govorkova, Luis Alberto, Granado Cardoso, Lucia Grillo, Jibo He, Donal Hill, Wenhua Hu, Wouter Hulsbergen, Philip Ilten, Daniel Johnson, Christopher Jones, Beat Jost, Patrick Koppenburg, Michal Kreps, Jean François Marchand, Umberto Marconi, Carla Marin Benito, Diego Martinez Santos, Emanuele Michielin, Marie-Noelle Minard, Hristo Mohamed, Michael Joseph Morello, Niko Neufeld, Francesco Polci, Jessica Prisciandaro, Albert Puig Navarro, Miguel Ramos Pernas, Gerhard Raven, Vicente Rives Molina, Gediminas Sarpis, Francesco Sborzacchi, Manuel Schiller, Rainer Schwemmer, Barbara Sciascia, Mark Smith, Patrick Spradlin, Sascha Stahl, Simone Stracka, Maciej Pawel Szymanski, Murdo Traill, Sebastien Valat, Ricardo Vazquez Gomez, Mika Vesterinen, Balazs Voneki, Constantin Weisser, Mike Williams, Mariusz Witek, Zhiyu Xiang, Zhirui Xu, Hang Yin, Yixiong Zhou

JINST, March, 2019

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