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IN2P3 School of Statistics 2026

1–5 juin 2026
Centre de Vacances CAES du CNRS Paul Langevin, Aussois, Savoie
Fuseau horaire Europe/Paris

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Liste des Contributions

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  1. 24. Welcome
    Cyrille Doux (LPSC)
    01/06/2026 10:00
  2. 1. Basic concepts of statistics - Part I
    Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))
    01/06/2026 14:00
  3. 2. Basic concepts of statistics - Part II
    Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))
    01/06/2026 16:00
  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)
    02/06/2026 09:00
  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)
    02/06/2026 11:00
  6. 13. Hands-on: statistics
    Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)
    02/06/2026 14:00
  7. 18. Hands-on: statistics
    Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)
    02/06/2026 16:00
  8. 23. Pizza discussion: environmental and ethical impacts of AI and good practices
    Steven Schramm (University of Geneva)
    02/06/2026 20:00
  9. 6. Introduction to machine learning
    Vincent Barra (UCA)
    03/06/2026 09:00
  10. 17. Hands-on: Introduction to machine learning tools
    Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))
    03/06/2026 11:00
  11. 19. Anomaly detection
    Dr Emille Ishida (CNRS/LPC-Clermont)
    03/06/2026 14:00
  12. 20. Hackathon
    03/06/2026 16:00
  13. 7. Bayesian inference
    Cyrille Doux (LPSC), Florian Ruppin (IP2I Lyon)
    04/06/2026 09:00
  14. 21. Hands-on: Sampling techniques
    Cyrille Doux (LPSC), Florian Ruppin (IP2I Lyon)
    04/06/2026 11:00
  15. 9. Introduction to deep learning
    Florian Ruppin (Université Lyon 1 - IP2I)
    04/06/2026 14:00
  16. 14. Hands-on: deep learning
    Florian Ruppin (Université Lyon 1 - IP2I)
    04/06/2026 16:00
  17. 12. Simulation based inference
    Cyrille Doux (LPSC)
    05/06/2026 09:00
  18. 22. Foundation models
    Francois Lanusse ({CNRS}UMR7158)
    05/06/2026 11:00
  19. 16. Farewell
    Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))
    05/06/2026 12:15
  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))