Machine Learning for Jet Physics

Monday, December 11, 2017 - 1:15pm to Wednesday, December 13, 2017 - 6:00pm

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.

Speakers:

Benjamin Nachman
Dr. Timothy Cohen
Matt Dolan
Kyle Cranmer

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, $140/night). A complementary shuttle runs every 10 min from downtown Berkeley up to the lab. For lunches, the most convenient option will be to eat in the LBNL cafeteria (5 min walk from workshop, ~10$).

Please see the event website.

 

Location: 
Lawrence Berkeley National Lab
Speaker: 
See above list