9-13 July 2018
Sofia, Bulgaria
Europe/Sofia timezone

Successes and trends in applying machine learning to HEP problems

10 Jul 2018, 09:00
30m
Hall 3 (National Palace of Culture)

Hall 3

National Palace of Culture

presentation Plenary

Speaker

David Rousseau (LAL-Orsay, FR)

Description

Machine Learning (known as Multi Variate Analysis) has been used somewhat in HEP since the nighties. If Boosted Decision Trees are now common place, there is now an explosion of novel algorithms  following the « deep learning revolution » in industry, applicable to data taking, triggering and handling, reconstruction, simulation and analysis. This talk will review some of these algorithms and their prospects. The number of published physics measurements or applications in production is however still low. We will conclude on the ingredients to facilitate these last steps.

Primary author

David Rousseau (LAL-Orsay, FR)

Presentation Materials