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IN2P3 School of Statistics 2026

Jun 1 – 5, 2026
Centre de Vacances CAES du CNRS Paul Langevin, Aussois, Savoie
Europe/Paris timezone

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Contribution List

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  1. 24. Welcome
    Cyrille Doux (LPSC)
    6/1/26, 10:00 AM
  2. 1. Basic concepts of statistics - Part I
    Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))
    6/1/26, 2:00 PM
  3. 2. Basic concepts of statistics - Part II
    Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))
    6/1/26, 4:00 PM
  4. 3. Classical interval estimation, limits, systematics and beyond - Part I
    Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)
    6/2/26, 9:00 AM
  5. 4. Classical interval estimation, limits, systematics and beyond - Part II
    Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)
    6/2/26, 11:00 AM
  6. 13. Hands-on: statistics
    Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)
    6/2/26, 2:00 PM
  7. 18. Hands-on: statistics
    Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)
    6/2/26, 4:00 PM
  8. 23. Pizza discussion: environmental and ethical impacts of AI and good practices
    Steven Schramm (University of Geneva)
    6/2/26, 8:00 PM
  9. 6. Introduction to machine learning
    Vincent Barra (UCA)
    6/3/26, 9:00 AM
  10. 17. Hands-on: Introduction to machine learning tools
    Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))
    6/3/26, 11:00 AM
  11. 19. Anomaly detection
    Dr Emille Ishida (CNRS/LPC-Clermont)
    6/3/26, 2:00 PM
  12. 20. Hackathon
    6/3/26, 4:00 PM
  13. 7. Bayesian inference
    Cyrille Doux (LPSC), Florian Ruppin (IP2I Lyon)
    6/4/26, 9:00 AM
  14. 21. Hands-on: Sampling techniques
    Cyrille Doux (LPSC), Florian Ruppin (IP2I Lyon)
    6/4/26, 11:00 AM
  15. 9. Introduction to deep learning
    Florian Ruppin (Université Lyon 1 - IP2I)
    6/4/26, 2:00 PM
  16. 14. Hands-on: deep learning
    Florian Ruppin (Université Lyon 1 - IP2I)
    6/4/26, 4:00 PM
  17. 12. Simulation based inference
    Cyrille Doux (LPSC)
    6/5/26, 9:00 AM
  18. 22. Foundation models
    Francois Lanusse ({CNRS}UMR7158)
    6/5/26, 11:00 AM
  19. 16. Farewell
    Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))
    6/5/26, 12:15 PM
  20. 11. Advanced deep learning
    Tobias Golling (University of Geneva)
  21. 8. Boosted decisions trees & performance metrics
    Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))
  22. 10. Unfolding
    Philippe Gras (CEA Saclay IRFU)
  23. 15. Welcome
    Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))