Name: Machine Learning for Jet Physics
Start: 2017-12-11T01:15:00-08:00
End: 2017-12-13T18:00:00-08:00
Location: Lawrence Berkeley National Laboratory

Machine Learning for Jet Physics

from Monday, December 11, 2017 (1:15 AM) to Wednesday, December 13, 2017 (6:00 PM)

Monday, December 11, 2017

8:30 AM Registration
Registration
8:30 AM - 9:00 AM
Room: 2-100
9:00 AM Welcome and Logistics - Natalie Roe Benjamin Nachman
Welcome and Logistics
- Natalie Roe
- Benjamin Nachman
9:00 AM - 9:15 AM
Room: 2-100
9:15 AM Jets and ML in Theory - Matt Schwartz (Harvard)
Jets and ML in Theory
- Matt Schwartz (Harvard)
9:15 AM - 10:00 AM
Room: 2-100
10:00 AM Jets and ML in CMS (30'+15') - Markus Stoye (CERN)
Jets and ML in CMS (30'+15')
- Markus Stoye (CERN)
10:00 AM - 10:45 AM
Room: 2-100
10:45 AM Jets and ML in ATLAS (30'+15') - Francesco Rubbo (SLAC)
Jets and ML in ATLAS (30'+15')
- Francesco Rubbo (SLAC)
10:45 AM - 11:30 AM
Room: 2-100
11:30 AM Lunch
Lunch
11:30 AM - 12:30 PM
Room: 2-100
12:30 PM
12:30 PM - 2:30 PM
Room: 2-100
Contributions

12:30 PM Introduction and Overview (15'+5') - Matt Dolan (The University of Melbourne)

12:50 PM Recursive Neural Networks in quark/gluon tagging (15'+5') - Taoli Cheng (University of Chinese Academy of Sciences)

1:10 PM Top tagging with jet constituents and Long Short-Term Memory (LSTM) networks. (15'+5') - Wojciech Fedorko (UBC) Wojciech Fedorko (University of British Columbia)

1:30 PM Deep(Boosted)Jet: Boosted jet identification using particle-level convolutional neural networks (15'+5') - Qu Huilin (UCSB)

1:50 PM Deep-Learned Top Taggers from Images & Lorentz Invariance (15'+5') - Gregor Kasieczka (Uni Hamburg)

2:10 PM Jets as graphs: W tagging with neural message passing (15'+5') - Isaac Henrion (NYU)
2:30 PM Coffee break
Coffee break
2:30 PM - 3:00 PM
Room: 2-100
3:00 PM
3:00 PM - 5:00 PM
Room: 2-100
Contributions

3:00 PM Visualization Intro - Wes Bethel (LBNL)
6:00 PM Workshop Dinner
Workshop Dinner
6:00 PM - 8:00 PM
Tuesday, December 12, 2017
9:00 AM
9:00 AM - 11:00 AM
Room: 2-100
Contributions

9:00 AM Introduction and Overview (15'+5') - Yang-Ting Chien (MIT)

9:20 AM Machine learning in the Lund plane (15'+5') - Frederic Dreyer (MIT)

9:40 AM A complete, linear basis for (machine) learning jet substructure (15'+5') - Eric Metodiev (MIT)

10:00 AM Linear jet tagging with the energy flow basis (15'+5') - Patrick Komiske (MIT)

10:20 AM Learning the Physics of Jet Evolution with a Recurrent Neural Network Part I (15') - Anders ANDREASSEN (Harvard)

10:35 AM Learning the Physics of Jet Evolution with a Recurrent Neural Network Part II (15'+5') - Frye Chris (Harvard)
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM
Room: 2-100
11:30 AM
11:30 AM - 12:30 PM
Room: 2-100
Contributions

11:30 AM Introduction and Overview (15'+5') - Peter Jacobs

11:50 AM Identifying QCD transition using convolution neural network (15'+5') - Long Pang

12:10 PM Probing heavy ion collisions using quark and gluon jet substructure with machine learning (15'+5') - Raghav Kunnawalkam Elayavalli (Wayne State University)
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
Room: 2-100
2:00 PM
2:00 PM - 2:30 PM
Room: 2-100
Contributions

2:00 PM Meta learning - Luke de Oliveira (LBNL/VAI Tech.)
2:30 PM Coffee break
Coffee break
2:30 PM - 3:00 PM
Room: 2-100
3:00 PM
3:00 PM - 5:00 PM
Room: 2-100
Contributions

3:00 PM Introduction and Overview (15'+5') - Taylor Childers (ANL)

3:20 PM Deep Neural Networks for whole, multi-jet event classification and generation (15'+5') - Wahid Bhimji

3:40 PM Jet Response Prediction Using Jet Images (15'+5') - Alexx Perloff (TAMU) Raghav Kunnawalkam Elayavalli (Rutgers University)

4:00 PM The Latest in GANs for Jet/Calo Simulation (15'+5') - Michela Paganini

4:20 PM Machine Learning and Tracking inside Jets in ATLAS (15'+5') - William Mccormack
Wednesday, December 13, 2017
9:00 AM
9:00 AM - 11:00 AM
Room: 2-100
Contributions

9:00 AM Introduction and Overview (15'+5') - Marat Freytsis (University of Oregon)

9:20 AM "Planing" to expose what the machine is learning (15'+5') - Bryan Ostdiek (University of Oregon)

9:40 AM Weak Supervision in High Dimensions (15'+5') - Eric Metodiev (MIT)

10:00 AM Building an anti-QCD tagger (15'+5') - Jack Collins (University of Maryland)

10:20 AM Adversarial Approaches (15'+5') - Kyle Cranmer (NYU)
11:00 AM Discussion and Closeout
Discussion and Closeout
11:00 AM - 12:00 PM
Room: 2-100

2:00 PM Advanced Light Source Tour
Advanced Light Source Tour
2:00 PM - 3:00 PM
Room: 2-100

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