Stefano Carrazza, Daniel Krefl, Andrea Papaluca
(2019).
Modelling conditional probabilities with Riemann-Theta Boltzmann Machines.
19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: Empowering the revolution: Bringing Machine Learning to High Performance Computing (ACAT 2019) Saas-Fee, Switzerland, March 11-15, 2019.
Valerio Bertone, Stefano Carrazza, Emanuele R. Nocera, Nathan P. Hartland, Juan Rojo
(2017).
Towards a Neural Network determination of Pion Fragmentation Functions.
Proceedings, Parton Radiation and Fragmentation from LHC to FCC-ee: CERN, Geneva, Switzerland, November 22-23, 2016.
Stefano Carrazza
(2017).
Modeling NNLO jet corrections with neural networks.
Proceedings, 23rd Cracow Epiphany Conference on Particle Theory Meets the First Data from LHC Run 2: Cracow, Poland, January 9-12, 2017.
Stefano Carrazza
(2017).
Machine learning challenges in theoretical HEP.
18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017) Seattle, WA, USA, August 21-25, 2017.
Richard D. Ball, Valerio Bertone, Marco Bonvini, Stefano Carrazza, Stefano Forte, Alberto Guffanti, Nathan P. Hartland, Juan Rojo, Luca Rottoli
(2016).
A Determination of the Charm Content of the Proton.
Eur. Phys. J..
Marco Bonvini, Simone Marzani, Juan Rojo, Luca Rottoli, Maria Ubiali, Richard D. Ball, Valerio Bertone, Stefano Carrazza, Nathan P. Hartland
(2015).
Parton distributions with threshold resummation.
JHEP.
Valerio Bertone, Stefano Carrazza, Juan Rojo
(2015).
Doped Parton Distributions.
27th Rencontres de Blois on Particle Physics and Cosmology Blois, France, May 31-June 5, 2015.
Richard D. Ball, Valerio Bertone, Stefano Carrazza, Christopher S. Deans, Luigi Del Debbio, others
(2013).
Parton distributions with LHC data.
Nucl.Phys..