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)

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

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)

Predicting ionic conductivity in solids from the machine-learned potential energy landscape. - Artem Maevskiy; Alexandra Carvalho; Emil Sataev; Volha Turchyna; Keian Noori; Aleksandr Rodin; A. H. Castro Neto; Andrey Ustyuzhanin (CoRR, 2024)