Chicagoland Mini-Workshop on LHC Run II Analysis with Machine Learning at the University of Chicago

Session

Applying Machine Learning to Run II Analysis

15 Jan 2019, 11:10

4/S-030 (CERN)

13. Phenomenology: Jet Substructure + ... (10'+10')

Matthew Schwartz (Harvard)

15/01/2019, 11:10

18. Experimental and Practical Aspects of Machine Learning (10'+10')

Benjamin Henry Hooberman (Univ. Illinois at Urbana-Champaign (US))

15/01/2019, 11:30

14. For Future ATLAS Hardware Triggers (10'+10')

David Miller (University of Chicago (US))

15/01/2019, 11:50

12. For Future CMS High Level Triggers (10'+10')

Nhan Viet Tran (Fermi National Accelerator Lab. (US))

15/01/2019, 12:30

11. Analysis, Detector Simulation, Neuromorphic Computing, and High Performance Computing (10'+10')

Walter Hopkins (Argonne National Laboratory (US))

15/01/2019, 12:50