1 citations · 1 across the 2 of their papers we have counts for
3 papers
Response to "Parton distributions need representative sampling"
The NNPDF Collaboration, Richard D. Ball, Juan Cruz-Martinez +7
We respond to the criticism raised by Courtoy et al., in which the faithfulness of the NNPDF4.0 sampling is questioned and an under-estimate of the NNPDF4.0 PDF uncertainties is im…
An open-source machine learning framework for global analyses of parton distributions
Richard D. Ball, Stefano Carrazza, Juan Cruz-Martinez +14
We present the software framework underlying the NNPDF4.0 global determination of parton distribution functions (PDFs). The code is released under an open source licence and is acc…
Studying the parton content of the proton with deep learning models
Juan M Cruz-Martinez, Stefano Carrazza, Roy Stegeman
Parton Distribution Functions (PDFs) model the parton content of the proton. Among the many collaborations which focus on PDF determination, NNPDF pioneered the use of Neural Netwo…