# Machine Learning for Jet Physics

11-13 December 2017
Lawrence Berkeley National Laboratory
US/Pacific timezone
There has been a recent surge of interest in developing and applying advanced machine learning techniques in HEP, and jet physics is a domain at the forefront of the excitement. The goal of this workshop is to gather experts and new-commers to discuss progress, new ideas, and common challenges. The workshop is open to the community; we invite contributions and will try to accommodate everyone within reason.
Starts
Ends
US/Pacific
Lawrence Berkeley National Laboratory
2-100
 ML4JP_Workshop_Directions_BreakoutRoom.pdf ML4JP_Workshop_Directions.pdf
There is no fee for attending the workshop. Coffee and light refreshments will be provided during breaks but meals and lodging are the responsibility of the attendant. There are many hotels in the Berkeley area, including limited availability at the LBNL guesthouse (5 min walk from the workshop, $140/night). A complementary shuttle runs every 10 min from downtown Berkeley up to the lab. For lunches, the most convenient option will be to eat in the LBNL cafeteria (5 min walk from workshop, ~10$). Related workshops: DS@HEP: https://indico.fnal.gov/conferenceDisplay.py?ovw=True&amp;amp;amp;confId=13497 BOOST: https://indico.cern.ch/event/579660/
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