Machine learning for phenomenology

3 Apr 2018, 08:00 → 6 Apr 2018, 18:00 Europe/London

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

Tuesday, 3 April

13:00 → 14:00 Sandwich buffet at the IPPP

14:00 → 17:00 General overview

14:00 Introduction

Speaker: Ben Nachman (LBNL)

Nachman_IntroMachineLearningDurham.pdf

15:00 Coffee

15:30 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

16:15 Generative models introduction

Speaker: Michela Paganini (Yale)

mpaganini-generative-models.pdf

18:00 → 19:00 Dinner in Collingwood

Wednesday, 4 April

09:30 → 12:30 Jets

09:30 Discriminating gluon fusion and VBF in Higgs production with machine learning

Speaker: Nicolas Greiner (University of Zurich)

hjets_ml.pdf

10:00 PDFs from NN to ML

Speaker: Stefano Forte (Milan University)

pdfmlai.pdf

10:30 Machine learnng: new ideas for PDF determination

Speaker: Stefano Carrazza

carrazza.pdf

11:00 Coffee break

11:30 Generative models

Speaker: Michela Paganini (Yale)

ippp durham calogan.pdf

13:00 → 14:00 Lunch at Collingwood

14:00 → 17:00 b tagging

14:00 Identification of Hadronically Decaying W Bosons and Top Quarks Using Machine Learning in ATLAS

Speaker: Ece Akilli

mlbsm_eakilli_tagging.pdf

14:45 Mauro Verzetti

Durham_workshop_2018Apr.pdf

15:30 Coffee break

16:00 Use of Machine Learning Techniques for improved Monte Carlo Integration

Speaker: Josh Bendavid (CERN)

mlmc-Apr4-2018.pdf

18:00 → 19:00 Dinner in Collingwood

Thursday, 5 April

09:30 → 12:55 Analysis-level ML

09:30 Zihao Jiang

CNN_04_04_ZihaoJiang.pdf

10:15 Kristian Gregeren

BDTReweighting_KristianG.pdf

11:00 Coffee break

13:00 → 14:00 Lunch at Collingwood

14:00 → 17:30 New ML methods

14:45 Chase Shimmin

2018.04.05_Durham_adv_tagging.pdf

15:30 Coffee break

16:00 Clustering techniques for parameter space scanning in BSM

Speaker: Dorigo Tommaso

Durham How Not To Miss a Discovery.pptx

16:45 Weak supervision

Speaker: Bryan Ostdiek (University of Oregon)

Ostdiek_IPPP_LearningThroughWeakSupervision.pdf

18:30 → 20:30 Dinner