IML Machine Learning Working Group

Europe/Zurich
13/2-005 (CERN)

13/2-005

CERN

90
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Description

Topic: Model interpretability

Videoconference
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)
    • 3:05 PM 3:30 PM
      Attribution-based Explanations that Provide Recourse Cannot be Robust 25m
      Speaker: Prof. Rianne de Heide (Vrije Universiteit Amsterdam)
    • 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)
    • 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)
    • 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))
    • 5:00 PM 5:05 PM
      Question time 5m