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
  
  Sandwich buffet at the IPPP
- General overview
  - 1
    
    Introduction
    
    Speaker: Ben Nachman (LBNL)
    
    Nachman_IntroMachineLearningDurham.pdf
  - 15:00
    
    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
- 18:00
  
  Dinner in Collingwood
Wednesday, 4 April
- 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
    
    Coffee break
  - 7
    
    Generative models
    
    Speaker: Michela Paganini (Yale)
    
    ippp durham calogan.pdf
- 13:00
  
  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
  - 15:30
    
    Coffee break
  - 10
    
    Use of Machine Learning Techniques for improved Monte Carlo Integration
    
    Speaker: Josh Bendavid (CERN)
    
    mlmc-Apr4-2018.pdf
- 18:00
  
  Dinner in Collingwood
Thursday, 5 April
- Analysis-level ML
  - 11
    
    Zihao Jiang
    
    CNN_04_04_ZihaoJiang.pdf
  - 12
    
    Kristian Gregeren
    
    BDTReweighting_KristianG.pdf
  - 11:00
    
    Coffee break
- 13:00
  
  Lunch at Collingwood
- New ML methods
  - 13
    
    Chase Shimmin
    
    2018.04.05_Durham_adv_tagging.pdf
  - 15:30
    
    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
- 18:30
  
  Dinner