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

Contribution List

16. Welcome/Overview

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

4/26/18, 10:00 AM

Accelerated Processing

3. Muon Trigger

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

4/26/18, 10:10 AM

Accelerated Processing

1. Co processor acceleration

Christian Faerber (CERN)

4/26/18, 10:40 AM

Accelerated Processing

2. HLS4ML

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

4/26/18, 11:20 AM

Accelerated Processing

14. Optical Artificial Neural Networks

Yichen Shen (MIT)

4/26/18, 12:00 PM

Accelerated Processing

6. Introduction

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

4/26/18, 2:00 PM

Machine Learning in Tracking

7. Overview of ML tracking approaches

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

4/26/18, 2:30 PM

Machine Learning in Tracking

10. ML in Tracking

Steven Farrell (Lawrence Berkeley National Lab (US))

4/26/18, 3:15 PM

Machine Learning in Tracking

15. Song Han

4/26/18, 5:00 PM

CS Lightning Talks and Discussion

17. Broderick

4/26/18, 5:10 PM

CS Lightning Talks and Discussion

18. Andrey

4/26/18, 5:30 PM

CS Lightning Talks and Discussion

19. Gowtham

4/26/18, 5:50 PM

CS Lightning Talks and Discussion

13. ML in Neutrinos

Alexander Radovic (College of William and Mary)

4/27/18, 10:00 AM

ML in Clustering

11. ML in Jets

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

4/27/18, 10:30 AM

ML in Clustering

5. CMS HGCAL reconstruction

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

4/27/18, 11:00 AM

ML in Clustering

12. CMS trigger upgrade

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

4/27/18, 11:30 AM

ML in Clustering

4. Network Pruning

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

4/27/18, 2:00 PM

Machine Learning in Data Compression

8. Compression with Auto-encoders

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

4/27/18, 2:30 PM

Machine Learning in Data Compression

9. Informational basis of Energy Flow

Jesse Thaler (MIT)

4/27/18, 3:00 PM

Machine Learning in Data Compression

20. Parting Thoughts

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

4/27/18, 3:30 PM

Machine Learning in Data Compression