Name: Machine learning for phenomenology
Start: 2018-04-03T08:00:00+01:00
End: 2018-04-06T18:00:00+01:00
Location: IPPP Durham

Machine learning for phenomenology

from Tuesday, April 3, 2018 (8:00 AM) to Friday, April 6, 2018 (6:00 PM)

Monday, April 2, 2018
Tuesday, April 3, 2018

1:00 PM Sandwich buffet at the IPPP
Sandwich buffet at the IPPP
1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 5:00 PM
Contributions

2:00 PM Introduction - Ben Nachman (LBNL)

3:30 PM How to figure out what information the machine is learning from - Bryan Ostdiek (University of Oregon)

4:15 PM Generative models introduction - Michela Paganini (Yale)
6:00 PM Dinner in Collingwood
Dinner in Collingwood
6:00 PM - 7:00 PM
Wednesday, April 4, 2018
9:30 AM
9:30 AM - 12:30 PM
Contributions

9:30 AM Discriminating gluon fusion and VBF in Higgs production with machine learning - Nicolas Greiner (University of Zurich)

10:00 AM PDFs from NN to ML - Stefano Forte (Milan University)

10:30 AM Machine learnng: new ideas for PDF determination - Stefano Carrazza

11:30 AM Generative models - Michela Paganini (Yale)
1:00 PM Lunch at Collingwood
Lunch at Collingwood
1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 5:00 PM
Contributions

2:00 PM Identification of Hadronically Decaying W Bosons and Top Quarks Using Machine Learning in ATLAS - Ece Akilli

2:45 PM Mauro Verzetti

4:00 PM Use of Machine Learning Techniques for improved Monte Carlo Integration - Josh Bendavid (CERN)
6:00 PM Dinner in Collingwood
Dinner in Collingwood
6:00 PM - 7:00 PM
Thursday, April 5, 2018
9:30 AM
9:30 AM - 12:55 PM
Contributions

9:30 AM Zihao Jiang

10:15 AM Kristian Gregeren
1:00 PM Lunch at Collingwood
Lunch at Collingwood
1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 5:30 PM
Contributions

2:45 PM Chase Shimmin

4:00 PM Clustering techniques for parameter space scanning in BSM - Dorigo Tommaso

4:45 PM Weak supervision - Bryan Ostdiek (University of Oregon)
6:30 PM Dinner
Dinner
6:30 PM - 8:30 PM
Friday, April 6, 2018

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