L Valente, L Anzalone, M Lorusso, D Bonacorsi, Joint Variational Auto-Encoder for Anomaly Detection in High Energy Physics, «POS PROCEEDINGS OF SCIENCE», 2023, 434, pp. 1 - 15 [articolo]
Lorusso, Marco; Bonacorsi, Daniele; Travaglini, Riccardo; Salomoni, Davide; Michelotto, Diego; VERONESI, Paolo; Duma, Doina Cristina, Accelerating Machine Learning inference using FPGAs: the PYNQ framework tested on an AWS EC2 F1 Instance, in: Volume 414 - 41st International Conference on High Energy physics (ICHEP2022) - Computing and Data Handling, 2022, pp. 1 - 6 (atti di: 41st International Conference on High Energy physics, Bologna, Italy, 6/07/2022) [Contributo in Atti di convegno]Open Access
Lorusso, Marco; Bonacorsi, Daniele; Salomoni, Davide; Travaglini, Riccardo, Machine Learning inference using PYNQ environment in a AWS EC2 F1 Instance, in: Proceedings of International Symposium on Grids & Clouds 2022 — PoS(ISGC2022), 2022, 415, pp. 1 - 14 (atti di: International Symposium on Grids & Clouds 2022, Taipei, 21/03/2022) [Contributo in Atti di convegno]Open Access
Diotalevi, Tommaso; Lorusso, Marco; Travaglini, Riccardo; Battilana, Carlo; Bonacorsi, Daniele, Deep Learning fast inference on FPGA for CMS Muon Level-1 Trigger studies, in: Proceedings of Science, 2021, pp. 005 - 023 (atti di: International Symposium on Grids and Clouds, Taipei, 22-26 Marzo 2021) [Contributo in Atti di convegno]Open Access
