LHC EFT WG - Area 3: Observables - Opportunities and Challenges of Machine Learning for EFT analyses

Name: LHC EFT WG - Area 3: Observables - Opportunities and Challenges of Machine Learning for EFT analyses
Start: 2023-10-24T15:00:00+02:00
End: 2023-10-24T16:40:00+02:00
Location: No location set

Tuesday Oct 24, 2023, 3:00 PM → 4:40 PM Europe/Zurich

Description

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The meeting will take place virtually via Zoom.

- 1
  
  Machine Learning opportunities for EFT analyses
  
  Speaker: Jaco ter Hoeve (Nikhef and VU Amsterdam)
  
  LHCEFTWG_terHoeve.pdf
- 2
  
  Unbinned MVA techniques for EFT analyses
  
  Speaker: Alfredo Glioti (IPhT)
  
  Glioti.pdf
- 3
  
  Machine Learning for Higgs CP properties
  
  Speaker: Antonio Manuel Mendes Jacques Da Costa (University of Manchester (GB))
  
  LHCEFTWG_Meeting_24_10_23.pdf
- 4
  
  Reinterpretable Machine Learning observables
  
  Speaker: Tomasz Procter (University of Glasgow (GB))
  
  MLReinterpretation4EFT.pdf
- 5
  
  Tree boosting for EFT analyses
  
  Speaker: Robert Schoefbeck (Austrian Academy of Sciences (AT))
  
  23-10-24 Tree boosting and NNs for EFT.pdf

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LHC EFT WG - Area 3: Observables - Opportunities and Challenges of Machine Learning for EFT analyses