Oct 19 – 23, 2020
Europe/Zurich timezone

Scientific Program

  • 1 ML for data reduction : Application of Machine Learning to data reduction, reconstruction, building/tagging of intermediate object

  • 2 ML for analysis : Application of Machine Learning to analysis, event classification and fundamental parameters inference

  • 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 algorithms : Machine Learning development across applications

  • 6 ML infrastructure : Hardware and software for Machine Learning

  • 7 ML training, courses and tutorials

  • 8 ML open datasets and challenges

  • 9 ML for astroparticle

  • 10 ML for experimental particle physics

  • 11 ML for phenomenology and theory

  • 12 ML for particle accelerators

  • 13 Other