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

To subscribe to the WG mailing list, click here.

The meeting will take place virtually via Zoom.

63964084054

Gauthier Durieux

Robert Schoefbeck, Abideh Jafari, Nicholas Wardle, Sandra Kortner, Anke Biekoetter, Christoph Michael Langenbruch, Admir Greljo, Shankha Banerjee, Gregory Max Ciezarek, Matteo Presilla, Ken Mimasu, Jacob Julian Kempster, Nicolas Berger, Kristin Lohwasser

Join via phone

- 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