Speaker
Luigi Del Debbio
(The University of Edinburgh)
Description
Machine learning methods are ubiquitous by now. The NNPDF collaboraton has used Neural Networks for many years to extract Parton Distribution Functions (PDFs) from experimental data. A quantitative understanding of the trainig process is now mandatory for precision results for the LHC. We discuss recent progress in modelling the training process and present some potential applications.
Author
Luigi Del Debbio
(The University of Edinburgh)