default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDStefano Carrazza
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
[j12]Stavros Efthymiou
, Alvaro Orgaz-Fuertes, Rodolfo Carobene, Juan Cereijo, Andrea Di Pasquale, Sergi Ramos-Calderer, Simone Bordoni, David Fuentes-Ruiz, Alessandro Candido, Edoardo Pedicillo, Matteo Robbiati, Yuanzheng Paul Tan, Jadwiga Wilkens, Ingo Roth, José Ignacio Latorre, Stefano Carrazza:
Qibolab: an open-source hybrid quantum operating system. Quantum 8: 1247 (2024)- 2022
- [j11]Carlos Bravo-Prieto, Julien Baglio, Marco Cè, Anthony Francis, Dorota M. Grabowska, Stefano Carrazza:
Style-based quantum generative adversarial networks for Monte Carlo events. Quantum 6: 777 (2022) - [j10]Stavros Efthymiou, Marco Lazzarin, Andrea Di Pasquale, Stefano Carrazza:
Quantum simulation with just-in-time compilation. Quantum 6: 814 (2022) - 2021
- [j9]Marco Lazzarin, Simone Alioli, Stefano Carrazza:
MCNNTUNES: Tuning Shower Monte Carlo generators with machine learning. Comput. Phys. Commun. 263: 107908 (2021) - [j8]Stefano Carrazza, Juan M. Cruz-Martinez, Marco Rossi:
PDFFlow: Parton distribution functions on GPU. Comput. Phys. Commun. 264: 107995 (2021) - 2020
- [j7]Stefano Carrazza, Juan Cruz-Martinez:
VegasFlow: Accelerating Monte Carlo simulation across multiple hardware platforms. Comput. Phys. Commun. 254: 107376 (2020) - [j6]Stefano Carrazza, Daniel Krefl:
Sampling the Riemann-Theta Boltzmann machine. Comput. Phys. Commun. 256: 107464 (2020) - [j5]Daniel Krefl, Stefano Carrazza, Babak Haghighat, Jens Kahlen:
Riemann-Theta Boltzmann machine. Neurocomputing 388: 334-345 (2020) - [j4]Diego García-Martín, E. Ribas, Stefano Carrazza, José I. Latorre, German Sierra:
The Prime state and its quantum relatives. Quantum 4: 371 (2020) - 2017
- [j3]Valerio Bertone, Stefano Carrazza, Nathan Hartland:
APFELgrid : A high performance tool for parton density determinations. Comput. Phys. Commun. 212: 205-209 (2017) - 2016
- [j2]Stefano Carrazza, R. Keith Ellis, Giulia Zanderighi:
QCDLoop: A comprehensive framework for one-loop scalar integrals. Comput. Phys. Commun. 209: 134-143 (2016) - 2014
- [j1]Valerio Bertone, Stefano Carrazza, Juan Rojo:
APFEL: A PDF evolution library with QED corrections. Comput. Phys. Commun. 185(6): 1647-1668 (2014)
Conference and Workshop Papers
- 2023
- [c1]Simone Bordoni, Andrea Papaluca, Piergiorgio Buttarini, Alejandro Sopena, Stefano Carrazza, Stefano Giagu:
Quantum circuit noise simulation with reinforcement learning (Short Paper). AIQxQIA@AI*IA 2023
Informal and Other Publications
- 2023
- [i15]Andrea Di Pasquale, Daniel Krefl, Stefano Carrazza, Frank Nielsen:
Product Jacobi-Theta Boltzmann machines with score matching. CoRR abs/2303.05910 (2023) - [i14]Edoardo Pedicillo, Andrea Di Pasquale, Stefano Carrazza:
Benchmarking machine learning models for quantum state classification. CoRR abs/2309.07679 (2023) - 2021
- [i13]Giulia Zorzi, Luca Berta, Stefano Carrazza, Alberto Torresin:
A framework for quantitative analysis of Computed Tomography images of viral pneumonitis: radiomic features in COVID and non-COVID patients. CoRR abs/2109.13931 (2021) - [i12]Carlos Bravo-Prieto, Julien Baglio, Marco Cè, Anthony Francis, Dorota M. Grabowska, Stefano Carrazza:
Style-based quantum generative adversarial networks for Monte Carlo events. CoRR abs/2110.06933 (2021) - 2020
- [i11]Stavros Efthymiou, Sergi Ramos-Calderer, Carlos Bravo-Prieto, Adrián Pérez-Salinas, Diego García-Martín, Artur García-Sáez, José I. Latorre, Stefano Carrazza:
Qibo: a framework for quantum simulation with hardware acceleration. CoRR abs/2009.01845 (2020) - [i10]Stefano Carrazza, Juan Cruz-Martinez, Marco Rossi:
PDFFlow: parton distribution functions on GPU. CoRR abs/2009.06635 (2020) - [i9]Marco Rossi, Stefano Carrazza, Juan M. Cruz-Martinez:
PDFFlow: hardware accelerating parton density access. CoRR abs/2012.08221 (2020) - 2019
- [i8]Stefano Carrazza, Frédéric A. Dreyer:
Jet grooming through reinforcement learning. CoRR abs/1903.09644 (2019) - [i7]Stefano Carrazza, Daniel Krefl, Andrea Papaluca:
Modelling conditional probabilities with Riemann-Theta Boltzmann Machines. CoRR abs/1905.11313 (2019) - [i6]Stefano Carrazza, Frédéric A. Dreyer:
Lund jet images from generative and cycle-consistent adversarial networks. CoRR abs/1909.01359 (2019) - [i5]Stefano Carrazza, Juan Cruz-Martinez, Jesús Urtasun-Elizari, Emilio Villa:
Towards hardware acceleration for parton densities estimation. CoRR abs/1909.10547 (2019) - 2018
- [i4]Stefano Carrazza, Daniel Krefl:
Sampling the Riemann-Theta Boltzmann Machine. CoRR abs/1804.07768 (2018) - [i3]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) - 2017
- [i2]Daniel Krefl, Stefano Carrazza, Babak Haghighat, Jens Kahlen:
Riemann-Theta Boltzmann Machine. CoRR abs/1712.07581 (2017) - 2016
- [i1]Stefano Carrazza, Alfio Ferrara, Silvia Salini:
Research infrastructures in the LHC era: a scientometric approach. CoRR abs/1601.03746 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
