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 11 December 2017 (01:15) to Wednesday 13 December 2017 (18:00)

Monday 11 December 2017 ¶

08:30 Registration
Registration
08:30 - 09:00
Room: 2-100
09:00 Welcome and Logistics - Benjamin Nachman Natalie Roe
Welcome and Logistics
- Benjamin Nachman
- Natalie Roe
09:00 - 09:15
Room: 2-100
09:15 Jets and ML in Theory - Matt Schwartz (Harvard)
Jets and ML in Theory
- Matt Schwartz (Harvard)
09:15 - 10:00
Room: 2-100
10:00 Jets and ML in CMS (30'+15') - Markus Stoye (CERN)
Jets and ML in CMS (30'+15')
- Markus Stoye (CERN)
10:00 - 10:45
Room: 2-100
10:45 Jets and ML in ATLAS (30'+15') - Francesco Rubbo (SLAC)
Jets and ML in ATLAS (30'+15')
- Francesco Rubbo (SLAC)
10:45 - 11:30
Room: 2-100
11:30 Lunch
Lunch
11:30 - 12:30
Room: 2-100
12:30
12:30 - 14:30
Room: 2-100
Contributions

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

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

13:10 Top tagging with jet constituents and Long Short-Term Memory (LSTM) networks. (15'+5') - Wojciech Fedorko (UBC) Wojciech Fedorko (University of British Columbia)

13:30 Deep(Boosted)Jet: Boosted jet identification using particle-level convolutional neural networks (15'+5') - Qu Huilin (UCSB)

13:50 Deep-Learned Top Taggers from Images & Lorentz Invariance (15'+5') - Gregor Kasieczka (Uni Hamburg)

14:10 Jets as graphs: W tagging with neural message passing (15'+5') - Isaac Henrion (NYU)
14:30 Coffee break
Coffee break
14:30 - 15:00
Room: 2-100
15:00
15:00 - 17:00
Room: 2-100
Contributions

15:00 Visualization Intro - Wes Bethel (LBNL)
18:00 Workshop Dinner
Workshop Dinner
18:00 - 20:00
Tuesday 12 December 2017 ¶
09:00
09:00 - 11:00
Room: 2-100
Contributions

09:00 Introduction and Overview (15'+5') - Yang-Ting Chien (MIT)

09:20 Machine learning in the Lund plane (15'+5') - Frederic Dreyer (MIT)

09:40 A complete, linear basis for (machine) learning jet substructure (15'+5') - Eric Metodiev (MIT)

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

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

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

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

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

12:10 Probing heavy ion collisions using quark and gluon jet substructure with machine learning (15'+5') - Raghav Kunnawalkam Elayavalli (Wayne State University)
12:30 Lunch
Lunch
12:30 - 14:00
Room: 2-100
14:00
14:00 - 14:30
Room: 2-100
Contributions

14:00 Meta learning - Luke de Oliveira (LBNL/VAI Tech.)
14:30 Coffee break
Coffee break
14:30 - 15:00
Room: 2-100
15:00
15:00 - 17:00
Room: 2-100
Contributions

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

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

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

16:00 The Latest in GANs for Jet/Calo Simulation (15'+5') - Michela Paganini

16:20 Machine Learning and Tracking inside Jets in ATLAS (15'+5') - William Mccormack
Wednesday 13 December 2017 ¶
09:00
09:00 - 11:00
Room: 2-100
Contributions

09:00 Introduction and Overview (15'+5') - Marat Freytsis (University of Oregon)

09:20 "Planing" to expose what the machine is learning (15'+5') - Bryan Ostdiek (University of Oregon)

09:40 Weak Supervision in High Dimensions (15'+5') - Eric Metodiev (MIT)

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

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

14:00 Advanced Light Source Tour
Advanced Light Source Tour
14:00 - 15:00
Room: 2-100

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