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

Contribution List

16. Welcome/Overview

J Michael Williams (Massachusetts Inst. of Technology (US))

26/04/2018, 10:00

Accelerated Processing

3. Muon Trigger

Verena Ingrid Martinez Outschoorn (University of Massachusetts (US)), Verena Ingrid Martinez Outschoorn (Fermi National Accelerator Lab. (US))

26/04/2018, 10:10

Accelerated Processing

1. Co processor acceleration

Christian Faerber (CERN)

26/04/2018, 10:40

Accelerated Processing

2. HLS4ML

Ben Kreis (Fermi National Accelerator Lab. (US))

26/04/2018, 11:20

Accelerated Processing

14. Optical Artificial Neural Networks

Yichen Shen (MIT)

26/04/2018, 12:00

Accelerated Processing

6. Introduction

J Michael Williams (Massachusetts Inst. of Technology (US))

26/04/2018, 14:00

Machine Learning in Tracking

7. Overview of ML tracking approaches

Dr Jean-Roch Vlimant (California Institute of Technology (US))

26/04/2018, 14:30

Machine Learning in Tracking

10. ML in Tracking

Steven Farrell (Lawrence Berkeley National Lab (US))

26/04/2018, 15:15

Machine Learning in Tracking

15. Song Han

26/04/2018, 17:00

CS Lightning Talks and Discussion

17. Broderick

26/04/2018, 17:10

CS Lightning Talks and Discussion

18. Andrey

26/04/2018, 17:30

CS Lightning Talks and Discussion

19. Gowtham

26/04/2018, 17:50

CS Lightning Talks and Discussion

13. ML in Neutrinos

Alexander Radovic (College of William and Mary)

27/04/2018, 10:00

ML in Clustering

11. ML in Jets

Michael Aaron Kagan (SLAC National Accelerator Laboratory (US))

27/04/2018, 10:30

ML in Clustering

5. CMS HGCAL reconstruction

Andrea Carlo Marini (Massachusetts Inst. of Technology (US))

27/04/2018, 11:00

ML in Clustering

12. CMS trigger upgrade

Zhenbin Wu (University of Illinois at Chicago (US))

27/04/2018, 11:30

ML in Clustering

4. Network Pruning

Javier Mauricio Duarte (Fermi National Accelerator Lab. (US))

27/04/2018, 14:00

Machine Learning in Data Compression

8. Compression with Auto-encoders

Mr Constantin Niko Weisser (Massachusetts Inst. of Technology (US))

27/04/2018, 14:30

Machine Learning in Data Compression

9. Informational basis of Energy Flow

Jesse Thaler (MIT)

27/04/2018, 15:00

Machine Learning in Data Compression

20. Parting Thoughts

J Michael Williams (Massachusetts Inst. of Technology (US))

27/04/2018, 15:30

Machine Learning in Data Compression