Machine learning for phenomenology
Apr 3, 2018, 8:00 AM
→
Apr 6, 2018, 6:00 PM
Europe/London
IPPP Durham
IPPP Durham
Ben Nachman
(
LBNL
)
,
Daniel Maitre
(
IPPP Durham
)
,
Frank Krauss
(
IPPP Durham
)
,
Josh Bendavid
(
CERN
)
,
Michael Spannowsky
(
IPPP Durham
)
creditcardform.doc
Wednesday afternoon vidyo link
Participants
Alan Price
Andreas Maier
Andrew Blance
Bryan Ostdiek
Cedric Weiland
Daniel King
Daniel Maitre
David Grellscheid
Dhritiman Nandan
Duncan Walker
Ece AKILLI
Elliott Reid
Enrico Bothmann
Graeme Watt
Hamish Teagle
Henry Day-Hall
Heribertus Bayu Hartanto
James Mead
Jan Niehues
Joe Farrow
Joseph Bullock
Josh Bendavid
Juan Cruz-Martinez
Kasper Peeters
Lucy Budge
Matthew Sullivan
Mauro Verzetti
Michael Spannowsky
Michela Paganini
Mikael Chala
Nicolas Greiner
Oscar Ochoa-Valeriano
Parisa Gregg
Peter Galler
Philip Waite
Phillip Marshall
Raquel Gomez Ambrosio
Robin Linten
Sandeepan Gupta
Shankha Banerjee
Stefano Carrazza
Stefano Forte
Stephen Brown
Tilman Plehn
tommaso dorigo
Wendy Gray
Tuesday, April 3
Tue, Apr 3
Wed, Apr 4
Thu, Apr 5
1:00 PM
Sandwich buffet at the IPPP
General overview
1
Introduction
Speaker
:
Ben Nachman
(
LBNL
)
Nachman_IntroMachineLearningDurham.pdf
3:00 PM
Coffee
2
How to figure out what information the machine is learning from
Speaker
:
Bryan Ostdiek
(
University of Oregon
)
IPPP_WhatIsTheMachineLearning_Ostdiek.key
IPPP_WhatIsTheMachineLearning_Ostdiek.pdf
Links to get started in machine learning
Machine Learning HEP resources
3
Generative models introduction
Speaker
:
Michela Paganini
(
Yale
)
mpaganini-generative-models.pdf
6:00 PM
Dinner in Collingwood
Wednesday, April 4
Tue, Apr 3
Wed, Apr 4
Thu, Apr 5
Jets
4
Discriminating gluon fusion and VBF in Higgs production with machine learning
Speaker
:
Nicolas Greiner
(
University of Zurich
)
hjets_ml.pdf
5
PDFs from NN to ML
Speaker
:
Stefano Forte
(
Milan University
)
pdfmlai.pdf
6
Machine learnng: new ideas for PDF determination
Speaker
:
Stefano Carrazza
carrazza.pdf
11:00 AM
Coffee break
7
Generative models
Speaker
:
Michela Paganini
(
Yale
)
ippp durham calogan.pdf
1:00 PM
Lunch at Collingwood
b tagging
8
Identification of Hadronically Decaying W Bosons and Top Quarks Using Machine Learning in ATLAS
Speaker
:
Ece Akilli
mlbsm_eakilli_tagging.pdf
9
Mauro Verzetti
Durham_workshop_2018Apr.pdf
3:30 PM
Coffee break
10
Use of Machine Learning Techniques for improved Monte Carlo Integration
Speaker
:
Josh Bendavid
(
CERN
)
mlmc-Apr4-2018.pdf
6:00 PM
Dinner in Collingwood
Thursday, April 5
Tue, Apr 3
Wed, Apr 4
Thu, Apr 5
Analysis-level ML
11
Zihao Jiang
CNN_04_04_ZihaoJiang.pdf
12
Kristian Gregeren
BDTReweighting_KristianG.pdf
11:00 AM
Coffee break
1:00 PM
Lunch at Collingwood
New ML methods
13
Chase Shimmin
2018.04.05_Durham_adv_tagging.pdf
3:30 PM
Coffee break
14
Clustering techniques for parameter space scanning in BSM
Speaker
:
Dorigo Tommaso
Durham How Not To Miss a Discovery.pptx
15
Weak supervision
Speaker
:
Bryan Ostdiek
(
University of Oregon
)
Ostdiek_IPPP_LearningThroughWeakSupervision.pdf
6:30 PM
Dinner