Name: Reconstruction, Trigger, and Machine Learning for the HL-LHC
Start: 2018-04-26T10:00:00-04:00
End: 2018-04-27T16:30:00-04:00
Location: No location set

Reconstruction, Trigger, and Machine Learning for the HL-LHC

from Thursday, 26 April 2018 (10:00) to Friday, 27 April 2018 (16:30)

Monday, 23 April 2018
Tuesday, 24 April 2018
Wednesday, 25 April 2018
Thursday, 26 April 2018
10:00
10:00 - 12:30
Contributions

10:00 Welcome/Overview - J Michael Williams (Massachusetts Inst. of Technology (US))

10:10 Muon Trigger - Verena Ingrid Martinez Outschoorn (University of Massachusetts (US)) Verena Ingrid Martinez Outschoorn (Fermi National Accelerator Lab. (US))

10:40 Co processor acceleration - Christian Faerber (CERN)

11:20 HLS4ML - Ben Kreis (Fermi National Accelerator Lab. (US))

12:00 Optical Artificial Neural Networks - Yichen Shen (MIT)
12:30 Lunch
Lunch
12:30 - 14:00
14:00
14:00 - 16:30
Contributions

14:00 Introduction - J Michael Williams (Massachusetts Inst. of Technology (US))

14:30 Overview of ML tracking approaches - Jean-Roch Vlimant (California Institute of Technology (US))

15:15 ML in Tracking - Steven Farrell (Lawrence Berkeley National Lab (US))
16:30 CS Lightning Talks and Discussion
CS Lightning Talks and Discussion
16:30 - 18:10
Contributions

17:00 Song Han

17:10 Broderick

17:30 Andrey

17:50 Gowtham
18:30 Dinner
Dinner
18:30 - 20:00
Friday, 27 April 2018
10:00
10:00 - 12:30
Contributions

10:00 ML in Neutrinos - Alexander Radovic (College of William and Mary)

10:30 ML in Jets - Michael Aaron Kagan (SLAC National Accelerator Laboratory (US))

11:00 CMS HGCAL reconstruction - Andrea Carlo Marini (Massachusetts Inst. of Technology (US))

11:30 CMS trigger upgrade - Zhenbin Wu (University of Illinois at Chicago (US))
12:30 Lunch
Lunch
12:30 - 14:00
14:00
14:00 - 16:30
Contributions

14:00 Network Pruning - Javier Mauricio Duarte (Fermi National Accelerator Lab. (US))

14:30 Compression with Auto-encoders - Constantin Niko Weisser (Massachusetts Inst. of Technology (US))

15:00 Informational basis of Energy Flow - Jesse Thaler (MIT)

15:30 Parting Thoughts - J Michael Williams (Massachusetts Inst. of Technology (US))

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