9–13 May 2022
CERN
Europe/Zurich timezone

Scientific Programme

  • 1 ML for object identification and reconstruction

  • 2 ML for analysis : event classification, statistical analysis and inference, including anomaly detection

  • 3 ML for simulation and surrogate model : Application of Machine Learning to simulation or other cases where it is deemed to replace an existing complex model

  • 4 Fast ML : Application of Machine Learning to DAQ/Trigger/Real Time Analysis

  • 5 ML infrastructure : Hardware and software for Machine Learning

  • 6 ML training, courses, tutorials, open datasets and challenges

  • 7 ML for astroparticle

  • 8 ML for phenomenology and theory

  • 9 ML for particle accelerators

  • 10 Other