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

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

Lamarr: LHCb ultra-fast simulation based on machine learning models deployed within Gauss. - Matteo Barbetti (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)

Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform. - Lucio Anderlini; Matteo Barbetti; Giulio Bianchini; Diego Ciangottini; Stefano Dal Pra; Diego Michelotto; Carmelo Pellegrino; Rosa Petrini; Alessandro Pascolini; Daniele Spiga (CoRR, 2025)