Machine learning for phenomenology

from Tuesday, 3 April 2018 (08:00) to Friday, 6 April 2018 (18:00)
IPPP Durham

        : Sessions
    /     : Talks
        : Breaks
3 Apr 2018
4 Apr 2018
5 Apr 2018
AM
09:30
Jets (until 12:30) ()
09:30 Discriminating gluon fusion and VBF in Higgs production with machine learning - Nicolas Greiner (University of Zurich)   ()
10:00 PDFs from NN to ML - Stefano Forte (Milan University)   ()
10:30 Machine learnng: new ideas for PDF determination - Stefano Carrazza   ()
11:00 --- Coffee break ---
11:30 Generative models - Michela Paganini (Yale)   ()
09:30
Analysis-level ML (until 12:55) ()
09:30 Zihao Jiang   ()
10:15 Kristian Gregeren   ()
11:00 --- Coffee break ---
PM
13:00 --- Sandwich buffet at the IPPP ---
14:00
General overview (until 17:00) ()
14:00 Introduction - Ben Nachman (LBNL)   ()
15:00 --- Coffee ---
15:30 How to figure out what information the machine is learning from - Bryan Ostdiek (University of Oregon)   ()
16:15 Generative models introduction - Michela Paganini (Yale)   ()
18:00 --- Dinner in Collingwood ---
13:00 --- Lunch at Collingwood ---
14:00
b tagging (until 17:00) ()
14:00 Identification of Hadronically Decaying W Bosons and Top Quarks Using Machine Learning in ATLAS - Ece Akilli   ()
14:45 Mauro Verzetti   ()
15:30 --- Coffee break ---
16:00 Use of Machine Learning Techniques for improved Monte Carlo Integration - Josh Bendavid (CERN)   ()
18:00 --- Dinner in Collingwood ---
13:00 --- Lunch at Collingwood ---
14:00
New ML methods (until 17:30) ()
14:45 Chase Shimmin   ()
15:30 --- Coffee break ---
16:00 Clustering techniques for parameter space scanning in BSM - Dorigo Tommaso   ()
16:45 Weak supervision - Bryan Ostdiek (University of Oregon)   ()
18:30 --- Dinner ---
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