IML Machine Learning Working Group

Europe/Zurich
Zoom-only

Zoom-only

Description

Agenda under development. If you like to present, please contact iml.coordinators@cern.ch .  Meeting will be by zoom only.

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Meeting ID: 561 228 8132
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    • 1
      News
      Speakers: Andrea Wulzer (CERN and EPFL), David Rousseau (LAL-Orsay, FR), Gian Michele Innocenti (CERN), Lorenzo Moneta (CERN), Loukas Gouskos (CERN), Paul Seyfert (CERN), Riccardo Torre (CERN)
    • 2
      Efficiency Parameterization with Neural Networks
      Speakers: Francesco Armando Di Bello (Sapienza Universita e INFN, Roma I (IT)), Jonathan Shlomi (Weizmann Institute of Science (IL))
    • 3
      Adversarial domain adaptation to reduce sample bias in a classification ML algorithm

      We apply adversarial domain adaptation to reduce sample bias in a classification machine learning algorithm. We add a gradient reversal layer to a neural network to simultaneously classify signal versus background events, while minimising the difference of the classifier response to a background sample using an alternative MC model. We show this on the example of simulated events at the LHC with $t\bar{t}H$ signal versus $t\bar{t}b\bar{b}$ background classification.

      Speakers: Jose Manuel Clavijo Columbie (Deutsches Elektronen-Synchrotron (DE)), Judith Katzy (Deutsches Elektronen-Synchrotron (DE)), Paul Glaysher (DESY)
    • 4
      IML Citation repository
      Speakers: Ben Nachman (Lawrence Berkeley National Lab. (US)), Matthew Feickert (Univ. Illinois at Urbana Champaign (US))