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ORCIDFederico Carminati
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2020 – today
- 2021
[j4]Gul Rukh Khattak
, Sofia Vallecorsa, Federico Carminati, Gul Muhammad Khan:
High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints. IEEE Access 9: 108899-108911 (2021)- [j3]Guilherme Amadio, A. Ananya, John Apostolakis, Marilena Bandieramonte, S. Banerjee, Abhijit Bhattacharyya, Calebe P. Bianchini, G. Bitzes, Philippe Canal, Federico Carminati, Oscar Roberto Chaparro-Amaro, Gabriele Cosmo, J. C. De Fine Licht, V. Drogan, Laurent Duhem, Daniel Elvira, J. Fuentes, Andrei Gheata, Mihaela Gheata, Mathieu Gravey, Ilias Goulas, Farah Hariri, Soon Yung Jun, Dmitri Konstantinov, Harphool Kumawat, J. G. Lima, Alberto Maldonado-Romo, Jesús Alberto Martínez-Castro, Pere Mato, T. Nikitina, S. Novaes, Mihály Novák, Kevin Pedro, Witold Pokorski, Alberto Ribon, Ryan Schmitz, Raman Seghal, Oksana Shadura, E. Tcherniaev, Sofia Vallecorsa, Sandro Wenzel, Y. Zhang:
GeantV. Comput. Softw. Big Sci. 5(1) (2021) - [j2]Elías F. Combarro, Federico Carminati, Sofia Vallecorsa, José Ranilla, Ignacio F. Rúa:
On protocols for increasing the uniformity of random bits generated with noisy quantum computers. J. Supercomput. 77(8): 8063-8081 (2021) - [i4]Su Yeon Chang, Sofia Vallecorsa, Elías F. Combarro, Federico Carminati:
Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors. CoRR abs/2101.11132 (2021)
2010 – 2019
- 2019
- [c6]Gul Rukh Khattak, Sofia Vallecorsa, Federico Carminati, Gul Muhammad Khan:
Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints. ICMLA 2019: 28-33 - [c5]Ahmad Hesam, Sofia Vallecorsa, Gulrukh Khattak, Federico Carminati:
Evaluating POWER Architecture for Distributed Training of Generative Adversarial Networks. ISC Workshops 2019: 432-440 - [i3]Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander G. Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang:
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. CoRR abs/1912.06794 (2019) - 2018
- [c4]Sofia Vallecorsa, Diana Moise, Federico Carminati, Gul Rukh Khattak:
Data-Parallel Training of Generative Adversarial Networks on HPC Systems for HEP Simulations. HiPC 2018: 162-171 - [c3]Gul Rukhkhattak, Sofia Vallecorsa, Federico Carminati:
Three Dimensional Energy Parametrized Generative Adversarial Networks for Electromagnetic Shower Simulation. ICIP 2018: 3913-3917 - [c2]Sofia Vallecorsa, Federico Carminati, Gulrukh Khattak, Damian Podareanu, Valeriu Codreanu, Vikram A. Saletore, Hans Pabst:
Distributed Training of Generative Adversarial Networks for Fast Detector Simulation. ISC Workshops 2018: 487-503 - [i2]Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata:
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - 2016
- [c1]Oksana Shadura, Federico Carminati:
Stochastic performance tuning of complex simulation applications using unsupervised machine learning. SSCI 2016: 1-8 - 2014
- [j1]Jianlin Zhu, Jin Huang, Daicui Zhou, Federico Carminati, Guoping Zhang, Qiang He:
Identifying composite crosscutting concerns through semi-supervised learning. Softw. Pract. Exp. 44(12): 1525-1545 (2014)
2000 – 2009
- 2003
- [i1]I. Hrivnácová, D. Adamová, V. Berejnoi, Rene Brun, Federico Carminati, A. Fassò, E. Futó, Andrei Gheata, I. González Caballero, A. Morsch:
The Virtual Monte Carlo. CoRR cs.SE/0306005 (2003)
Coauthor Index
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