Login

IML Machine Learning Working Group

→ Europe/Zurich
13/2-005 (CERN)

13/2-005

CERN

90
Show room on map
Description

Topic: Model interpretability

    • 1
      News
      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)
    • 2
      Attribution-based Explanations that Provide Recourse Cannot be Robust
      Speaker: Prof. Rianne de Heide (Vrije Universiteit Amsterdam)
      arxiv:2205.15834
      Slides
    • 15:30
      Question time
    • 3
      A Detailed Study of Interpretability of Deep Neural Network based Top Taggers
      Speaker: Avik Roy (University of Illinois at Urbana-Champaign)
      2022-11-15_TopTaggerInterp.pdf
      arxiv 2210.04371
    • 16:00
      Question time
    • 4
      Interpretable and Trustworthy Geometric/Graph Deep Learning.
      Speaker: Siqi Miao (Purdue University)
      arXiv:2201.12987
      arXiv:2210.16966
      LRI-IML.pdf
    • 16:30
      Question time
    • 5
      (Postponed or virtual) Summary of the Second MODE Workshop

      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
    • 17:00
      Question time