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

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

Tuesday 24 October 2023 - 15:00

Monday 23 October 2023
Tuesday 24 October 2023
15:00 Machine Learning opportunities for EFT analyses - Jaco ter Hoeve (Nikhef and VU Amsterdam)
Machine Learning opportunities for EFT analyses
- Jaco ter Hoeve (Nikhef and VU Amsterdam)
15:00 - 15:20
15:20 Unbinned MVA techniques for EFT analyses - Alfredo Glioti (IPhT)
Unbinned MVA techniques for EFT analyses
- Alfredo Glioti (IPhT)
15:20 - 15:40
15:40 Machine Learning for Higgs CP properties - Antonio Manuel Mendes Jacques Da Costa (University of Manchester (GB))
Machine Learning for Higgs CP properties
- Antonio Manuel Mendes Jacques Da Costa (University of Manchester (GB))
15:40 - 16:00
16:00 Reinterpretable Machine Learning observables - Tomasz Procter (University of Glasgow (GB))
Reinterpretable Machine Learning observables
- Tomasz Procter (University of Glasgow (GB))
16:00 - 16:20
16:20 Tree boosting for EFT analyses - Robert Schoefbeck (Austrian Academy of Sciences (AT))
Tree boosting for EFT analyses
- Robert Schoefbeck (Austrian Academy of Sciences (AT))
16:20 - 16:40

Choose timezone