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

Tuesday, 3 April
- 13:00 → 14:00
  
  Sandwich buffet at the IPPP 1h
- 14:00 → 17:00
  General overview
  - 14:00
    
    Introduction 1h
    
    Speaker: Ben Nachman (LBNL)
    
    Nachman_IntroMachineLearningDurham.pdf
  - 15:00
    
    Coffee 30m
  - 15:30
    
    How to figure out what information the machine is learning from 45m
    
    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 20m
    
    Speaker: Michela Paganini (Yale)
    
    mpaganini-generative-models.pdf
- 18:00 → 19:00
  
  Dinner in Collingwood 1h
Wednesday, 4 April
- 09:30 → 12:30
  Jets
  - 09:30
    
    Discriminating gluon fusion and VBF in Higgs production with machine learning 30m
    
    Speaker: Nicolas Greiner (University of Zurich)
    
    hjets_ml.pdf
  - 10:00
    
    PDFs from NN to ML 30m
    
    Speaker: Stefano Forte (Milan University)
    
    pdfmlai.pdf
  - 10:30
    
    Machine learnng: new ideas for PDF determination 30m
    
    Speaker: Stefano Carrazza
    
    carrazza.pdf
  - 11:00
    
    Coffee break 30m
  - 11:30
    
    Generative models 45m
    
    Speaker: Michela Paganini (Yale)
    
    ippp durham calogan.pdf
- 13:00 → 14:00
  
  Lunch at Collingwood 1h
- 14:00 → 17:00
  b tagging
  - 14:00
    
    Identification of Hadronically Decaying W Bosons and Top Quarks Using Machine Learning in ATLAS 45m
    
    Speaker: Ece Akilli
    
    mlbsm_eakilli_tagging.pdf
  - 14:45
    
    Mauro Verzetti 45m
    
    Durham_workshop_2018Apr.pdf
  - 15:30
    
    Coffee break 30m
  - 16:00
    
    Use of Machine Learning Techniques for improved Monte Carlo Integration 45m
    
    Speaker: Josh Bendavid (CERN)
    
    mlmc-Apr4-2018.pdf
- 18:00 → 19:00
  
  Dinner in Collingwood 1h
Thursday, 5 April
- 09:30 → 12:55
  Analysis-level ML
  - 09:30
    
    Zihao Jiang 45m
    
    CNN_04_04_ZihaoJiang.pdf
  - 10:15
    
    Kristian Gregeren 45m
    
    BDTReweighting_KristianG.pdf
  - 11:00
    
    Coffee break 30m
- 13:00 → 14:00
  
  Lunch at Collingwood 1h
- 14:00 → 17:30
  New ML methods
  - 14:45
    
    Chase Shimmin 45m
    
    2018.04.05_Durham_adv_tagging.pdf
  - 15:30
    
    Coffee break 30m
  - 16:00
    
    Clustering techniques for parameter space scanning in BSM 45m
    
    Speaker: Dorigo Tommaso
    
    Durham How Not To Miss a Discovery.pptx
  - 16:45
    
    Weak supervision 45m
    
    Speaker: Bryan Ostdiek (University of Oregon)
    
    Ostdiek_IPPP_LearningThroughWeakSupervision.pdf
- 18:30 → 20:30
  
  Dinner 2h