Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints.

G. Khattak, S. Vallecorsa, F. Carminati, and G. Khan. IEEE Access, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Andrea Carminati

Federico Latorre

Federico Utili

Federico Squartini

Stefania Federico

Other publications of authors with the same name

Three Dimensional Energy Parametrized Generative Adversarial Networks for Electromagnetic Shower Simulation.G. Rukhkhattak, S. Vallecorsa, and F. Carminati. ICIP, page 3913-3917. IEEE, (2018)Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints.G. Khattak, S. Vallecorsa, F. Carminati, and G. Khan. ICMLA, page 28-33. IEEE, (2019)Summary of the ACAT Round Table Discussion: Open-source, knowledge sharing and scientific collaborationF. Carminati, D. Perret-Gallix, and T. Riemann. Journal of Physics: Conference Series, (Jul 2, 2014)Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors.S. Chang, S. Vallecorsa, E. Combarro, and F. Carminati. CoRR, (2021)Stochastic performance tuning of complex simulation applications using unsupervised machine learning.O. Shadura, and F. Carminati. SSCI, page 1-8. IEEE, (2016)Machine Learning in High Energy Physics Community White Paper.K. Albertsson, P. Altoe, D. Anderson, M. Andrews, J. Espinosa, A. Aurisano, L. Basara, A. Bevan, W. Bhimji, D. Bonacorsi and 108 other author(s). CoRR, (2018)Distributed Training of Generative Adversarial Networks for Fast Detector Simulation.S. Vallecorsa, F. Carminati, G. Khattak, D. Podareanu, V. Codreanu, V. Saletore, and H. Pabst. ISC Workshops, volume 11203 of Lecture Notes in Computer Science, page 487-503. Springer, (2018)Identifying composite crosscutting concerns through semi-supervised learning.J. Zhu, J. Huang, D. Zhou, F. Carminati, G. Zhang, and Q. He. Softw. Pract. Exp., 44 (12): 1525-1545 (2014)The Virtual Monte CarloI. Hrivnácová, D. Adamová, V. Berejnoi, R. Brun, F. Carminati, A. Fassò, E. Futó, A. Gheata, I. Caballero, and A. Morsch. CoRR, (2003)GeantV.G. Amadio, A. Ananya, J. Apostolakis, M. Bandieramonte, S. Banerjee, A. Bhattacharyya, C. Bianchini, G. Bitzes, P. Canal, F. Carminati and 32 other author(s). Comput. Softw. Big Sci., (2021)

BibSonomy

Disambiguation of "Carminati, Federico"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints.

Please choose a person to relate this publication to

Andrea Carminati

Federico Latorre

Federico Utili

Federico Squartini

Stefania Federico

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Carminati, Federico"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints.

Please choose a person to relate this publication to

Andrea Carminati

Federico Latorre

Federico Utili

Federico Squartini

Stefania Federico

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints.