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

Europe/Zurich
Description

To subscribe to the WG mailing list, click here

The meeting will take place virtually via Zoom.

    • 15:00 15:20
      Machine Learning opportunities for EFT analyses 20m
      Speaker: Jaco ter Hoeve (Nikhef and VU Amsterdam)
    • 15:20 15:40
      Unbinned MVA techniques for EFT analyses 20m
      Speaker: Alfredo Glioti (IPhT)
    • 15:40 16:00
      Machine Learning for Higgs CP properties 20m
      Speaker: Antonio Manuel Mendes Jacques Da Costa (University of Manchester (GB))
    • 16:00 16:20
      Reinterpretable Machine Learning observables 20m
      Speaker: Tomasz Procter (University of Glasgow (GB))
    • 16:20 16:40
      Tree boosting for EFT analyses 20m
      Speaker: Robert Schoefbeck (Austrian Academy of Sciences (AT))