14-16 November 2018
Fermilab
America/Chicago timezone

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 workshop will be open to the full community and will include LHC experiments as well as theorists and phenomenologists interested in this topic.  

For last year's workshop, please see https://indico.physics.lbl.gov/indico/event/546/.

Chairs:
Sergei Gleyzer (U Florida)
Ben Nachman (LBNL)


Organizing Committee:
Pushpa Bhat (Fermilab) 
Kyle Cranmer (NYU) 
Sergei Gleyzer (U Florida) 
Ben Nachman (LBNL) 
Tilman Plehn (Heidelberg)

Local Organizing Committee:
Gabriele Benelli (Brown U),
Javier Duarte (Fermilab)
Benjamin Kreis (Fermilab)
Nhan Tran (Fermilab)
Justin Pilot (UC Davis)

LPC Event Committee Chairs:
Gabriele Benelli (Brown U)
Benjamin Kreis (Fermilab)

LPC Coordinators:
Cecilia Gerber (UIC)
Sergo Jindariani (Fermilab)

The call for abstracts is open
You can submit an abstract for reviewing.
Registration
Registration for this event is currently open.
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