IN2P3 School of Statistics 2026

1 juin 2026, 09:00 → 5 juin 2026, 23:15 Europe/Paris

Centre de Vacances CAES du CNRS Paul Langevin, Aussois, Savoie

The tenth edition of the IN2P3 School Of Statistics will be held from Monday, June 1 to Friday, June 5 2026 in Aussois (Savoie).

The school is intended for PhD students, post-doctoral researchers, and senior scientists and engineers who wish to strengthen their expertise or explore new methods in statistical analysis and machine learning as applied to subatomic physics, astroparticle physics, and cosmology.

 

The school combines lectures and hands-on sessions with (online) Jupyter notebooks. All lectures will be given in English.

The School Of Statistics is supported by CNRS/IN2P3.

Programme

Courses and hands-on sessions (get ready !)

• Basic concepts of statistics: Romain Madar (LPCA, Clermont-Ferrand)
• Classical interval estimation, limits, systematics and beyond: Lydia Brenner (CERN) and Nicolas Berger (LAPP, Annecy)
• Introduction to machine learning: Vincent Barra (UCA, Clermont-Ferrand) and Yann Coadou (CPPM, Marseille)
• Bayesian statistics and sampling techniques: Florian Ruppin (Université Lyon 1 - IP2I) and Cyrille Doux (LPSC, Grenoble)
• Introduction to deep learning: Florian Ruppin (Université Lyon 1 - IP2I)
• Simulation based inference: Cyrille Doux (LPSC, Grenoble)

The school will also feature a discussion on the ethical/environmental aspects of AI (Steven Schramm, Unige), a mini-hackathon and a presentation about foundation models (François Lanusse, CEA Saclay).

Registration fees

• CNRS employees (ie directly paid by CNRS): 0€
• PhD students in a IN2P3 lab: 300€
• All other participants: 900€

Full board (housing, meals, breaks) is included in your fee from May 31 (dinner) to June 5 (lunch).

Financial Support

The IN2P3 School of Statistics 2026 acknowledges support from CNRS, Université Grenoble-Alpes (UGA), the Multidisciplinary Institute in Artificial intelligence (MIAI) at UGA and France 2030.

Organizing Committee

Johan Bregeon (LPSC, Grenoble), Yann Coadou (CPPM, Marseille), Sabine Crépé-Renaudin (LPSC, Grenoble), Cyrille Doux (LPSC, Grenoble, chair), Giulio Dujany (IPHC, Strasbourg), Leïla Haegel (IP2I, Lyon), Emille Ishida (LPCA, Clermont-Ferrand), Romain Madar (LPCA, Clermont-Ferrand), Guillaume Mention (CEA/IRFU, Saclay), David Rousseau (IJCLab, Orsay)

Administrative Support

Françoise Petiot / Cécile Martin (LPSC, Grenoble)

lun. 1 juin

10:00 → 12:00 Welcome

Orateur: Cyrille Doux (LPSC)

12:00 → 14:00 Lunch

14:00 → 15:30 Basic concepts of statistics - Part I

Orateur: Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))

15:30 → 16:00 Break

16:00 → 17:30 Basic concepts of statistics - Part II

Orateur: Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))

mar. 2 juin

09:00 → 10:30 Classical interval estimation, limits, systematics and beyond - Part I

Orateurs: Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)

10:30 → 11:00 Break

11:00 → 12:30 Classical interval estimation, limits, systematics and beyond - Part II

Orateurs: Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)

12:30 → 14:00 Lunch

14:00 → 15:30 Hands-on: statistics

Orateurs: Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)

15:30 → 16:00 Break

16:00 → 17:30 Hands-on: statistics

Orateurs: Lydia Brenner (Nikhef National Institute for Subatomic Physics and University of Amsterdam), Nicolas Berger (LAPP)

20:00 → 21:30 Pizza discussion: environmental and ethical impacts of AI and good practices

Orateur: Steven Schramm (University of Geneva)

mer. 3 juin

09:00 → 10:30 Introduction to machine learning

Orateur: Vincent Barra (UCA)

10:30 → 11:00 Break

11:00 → 12:30 Hands-on: Introduction to machine learning tools

Orateur: Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))

12:30 → 14:00 Lunch

14:00 → 15:30 Anomaly detection

Orateur: Dr Emille Ishida (CNRS/LPC-Clermont)

15:30 → 16:00 Break

16:00 → 18:00 Hackathon

jeu. 4 juin

09:00 → 10:30 Bayesian inference

Orateurs: Cyrille Doux (LPSC), Florian Ruppin (IP2I Lyon)

10:30 → 11:00 Break

11:00 → 12:30 Hands-on: Sampling techniques

Orateurs: Cyrille Doux (LPSC), Florian Ruppin (IP2I Lyon)

12:30 → 14:00 Lunch

14:00 → 15:30 Introduction to deep learning

Orateur: Florian Ruppin (Université Lyon 1 - IP2I)

15:30 → 16:00 Break

16:00 → 17:30 Hands-on: deep learning

Orateur: Florian Ruppin (Université Lyon 1 - IP2I)

20:00 → 23:00 Social dinner

ven. 5 juin

09:00 → 10:30 Simulation based inference

Orateur: Cyrille Doux (LPSC)

10:30 → 11:00 Break

11:00 → 12:15 Foundation models

Orateur: Francois Lanusse ({CNRS}UMR7158)

12:15 → 12:30 Farewell

Orateur: Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))

12:30 → 13:30 Lunch

13:30 → 15:00 Departure