The winners of the ATLAS Higgs Machine Learning challenge will be visiting CERN Tuesday 19th May and will participate to a special (webcasted) workshop at 3PM in the CERN Main Auditorium.
The Higgs Machine Learning challenge ran on the Kaggle platform in summer 2014. Official simulated ATLAS events were publicly released, and participants competed to invent the most powerful algorithms to improve the statistical significance of the Higgs to tau+tau- signal.
The participation was overwhelming with more than 1700 teams. Machine learning specialists, physicists and students, submitted more than 30.000 solutions, making it the most popular Kaggle challenge to date. During these few months, a typical HEP problem has been tackled with the most advanced machine learning techniques. This mini workshop is a step towards importing the lessons of the challenge back into High Energy Physics.
"The huge success of the Challenge shows the fascination that the discovery of the Higgs boson, including the statistical tools used for it, holds for the public. It also reveals that experimental particle physics, in spite of its sophistication, can learn a lot from machine learning science," says Andreas Hoecker, physics coordinator of the ATLAS experiment.
The challenge was organized by an interdisciplinary team of ATLAS physicists and computer scientists from LAL (Université Paris Sud and CNRS / IN2P3), LRI (Université Paris Sudand CNRS), INRIA, Royal University College , Paris Saclay Center for Data Science and ChaLearn.