Machine learning has become a hot topic in particle physics over the past several years. In particular, there has been a lot of progress in the area of particle and event identification, reconstruction, fast simulation and others. One significant area of research and development has focused on jet physics. In this workshop, we will discuss current progress in this area, focusing on new breakthrough ideas and existing challenges. The ML4Jets workshop will be open to the full community and will include LHC experiments as well as theorists and phenomenologists interested in this topic. This year's workshop is hosted at NYU in New York City.
This workshop follows successful workshops in 2017 and 2018.
Registration is now closed - please email the organizing committee if you are still interested in attending the workshop in person.
International Organizing Committee:
Kyle Cranmer (NYU), Ben Nachman (LBNL), Maurizio Pierini (CERN), Tilman Plehn (Heidelberg), Jesse Thaler (MIT)
Local Organizing Committee:
Kyle Cranmer (NYU) and Sebastian Macaluso (NYU)
Support:
This event is supported by CERN and U.S. National Science Foundation Cooperative Agreement OAC-1836650 (IRIS-HEP)
