Machine Learning Forum

The Inter-Experimental LHC Machine Learning Working Group IML has been launched recently. The group is focused on the development of modern state-of-the art machine learning methods, techniques and practices for high-energy physics problems. The group provides solutions, software and training beneficial for all LHC experiments as well as a forum where on-going work and relevant issues are discussed by the community.

Goals

• Develop & sustain MML4HEP expertise – it is not just about software, but need ML know-how & insights, e.g.
  • which algorithms to use for which problem
  • how to tune hyperparameters
  • how to deal with non-continuous or missing variables
  • Troubleshooting, novel applications, data vs. MC,…
• Series of dedicated LHC ML challenges to further strengthen & grow MML-HEP interaction, so we can more effectively collaborate

Website

• IML

Mailing List

• lhc-machinelearning-wg@cern.ch

Meetings and IML Events

• Working group meetings

Related Events in HEP

• Second Machine Learning High Energy Physics Summer School 2016, 20-26 June 2016 at Lund University
• CERN openlab Machine Learning and Data Analytics workshop, 29 April 2016 at CERN
• Heavy Flavour Data Mining workshop, 18-20 February 2016 at the Unveristy of Zurich
• Applying Learning to Experimental Physics at NIPS, 11 December 2015 at Montreal
• Data Science @ LHC 2015 Workshop, 9-13 November 2015 at CERN
• Summer school on Machine Learning in High Energy Physics, 27-30 August 2015 at St Petersburg