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IML Machine Learning Working Group

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13/2-005 (CERN)

13/2-005

CERN

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Description

Topic: Model interpretability

IML Machine Learning Working Group
Zoom Meeting ID
96543252431
Host
Simon Akar
Alternative hosts
Riccardo Torre, Fabio Catalano
Useful links
Join via phone
Zoom URL
    • 3:00 PM → 3:05 PM
      News 5m
      Speakers: Anja Butter, Fabio Catalano (University and INFN Torino (IT)), Lorenzo Moneta (CERN), Michael Kagan (SLAC National Accelerator Laboratory (US)), Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE)), Simon Akar (University of Cincinnati (US)), Stefano Carrazza (CERN)
      Seminar on relating uncertainties in ML and HEP (PHYSTAT + CERN DS)
    • 3:05 PM → 3:30 PM
      Attribution-based Explanations that Provide Recourse Cannot be Robust 25m
      Speaker: Prof. Rianne de Heide (Vrije Universiteit Amsterdam)
      arxiv:2205.15834
      Slides
    • 3:30 PM → 3:35 PM
      Question time 5m
    • 3:35 PM → 4:00 PM
      A Detailed Study of Interpretability of Deep Neural Network based Top Taggers 25m
      Speaker: Avik Roy (University of Illinois at Urbana-Champaign)
      2022-11-15_TopTaggerInterp.pdf
      arxiv 2210.04371
    • 4:00 PM → 4:05 PM
      Question time 5m
    • 4:05 PM → 4:30 PM
      Interpretable and Trustworthy Geometric/Graph Deep Learning. 25m
      Speaker: Siqi Miao (Purdue University)
      arXiv:2201.12987
      arXiv:2210.16966
      LRI-IML.pdf
    • 4:30 PM → 4:35 PM
      Question time 5m
    • 4:35 PM → 5:00 PM
      (Postponed or virtual) Summary of the Second MODE Workshop 25m

      Second MODE Workshop on Differentiable Programming for Experiment Design

      https://indico.cern.ch/event/1145124/

      Speaker: Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))
      Workshop agenda
    • 5:00 PM → 5:05 PM
      Question time 5m
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