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IML Machine Learning Working Group (video only)

→ Europe/Zurich
Video only

Video only
Description

Agenda under development. If you like to present, please contact iml.coordinators@cern.ch .  

 

Meeting is on zoom (check your mail to know the password)

 

IML meeting
7 Apr. 2020 02:30 PM Paris

Participate to Zoom meeting

meeting ID  : 345 572 868
Mot de passe : XXXXX (check your mail)

To join with the phone, find your local phone number: https://ijclab.zoom.us/u/aerEcMkacL

Organized by the IML coordinators

Gian Michele Innocenti (ALICE)
David Rousseau (ATLAS)
Loukas Gouskos (CMS)
Paul Seyfert (LHCB)
Lorenzo Moneta (SFT)
Riccardo Torre (TH)
Andrea Wulzer (TH)

    • 15:00 → 15:10
      News 10m
      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)
      slides
    • 15:10 → 15:35
      Optimal statistical inference in the presence of systematic uncertainties using neural network optimization based on binned Poisson likelihoods with nuisance parameters 25m
      Speaker: Stefan Wunsch (KIT - Karlsruhe Institute of Technology (DE))
      arXiv 2003.07186
      slides.pdf
    • 15:35 → 16:00
      Differentiable Analysis 25m
      Speaker: Mr Nathan Daniel Simpson (Lund University (SE))
      Differentiable Analysis
      differentiable analysis with Jax & pyhf-3.pdf
    • 16:00 → 16:25
      Towards a Computer Vision Particle Flow 25m

      https://arxiv.org/abs/2003.08863

      Speaker: Sanmay Ganguly (Weizmann Institute of Science (IL))
      arXiv : 2003.08863
      IML_2020_April.pdf
    • 16:25 → 16:50
      Object condensation for particle flow 25m
      Speaker: Jan Kieseler (CERN)
      arxiv:2002.03605
      obj_cond_PF_IML20200407.pdf
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