Machine Learning opportunities for EFT analyses

• Jaco ter Hoeve (Nikhef and VU Amsterdam)

Unbinned MVA techniques for EFT analyses

• Alfredo Glioti (IPhT)

Machine Learning for Higgs CP properties

• Antonio Manuel Mendes Jacques Da Costa (University of Manchester (GB))

Reinterpretable Machine Learning observables

• Tomasz Procter (University of Glasgow (GB))

Tree boosting for EFT analyses

• Robert Schoefbeck (Austrian Academy of Sciences (AT))