IN2P3 School of Statistics 2020

from Monday, 11 May 2020 (08:00) to Friday, 15 May 2020 (18:00)
Club Vacanciel Carry-le-Rouet

        : Sessions
    /     : Talks
        : Breaks
11 May 2020
12 May 2020
13 May 2020
14 May 2020
15 May 2020
AM
11:00 --- Arrival ---
09:00
Introduction to Machine Learning (until 10:30) ()
09:00 Introduction to Machine Learning - Vincent Barra (ISIMA)   ()
10:30 --- Coffee Break ---
11:00
Boosted decisions trees (until 12:30) ()
11:00 Boosted decisions trees - Yann Coadou (CPPM Marseille)   ()
09:00
Introduction to Deep learning (until 10:30) ()
09:00 Introduction to Deep Learning 2/2 - Michael Kagan (SLAC) Michael Kagan (SLAC)   ()
10:30 --- Coffee Break ---
11:00
Machine Learning tools: hands-on (until 12:30) ()
11:00 Machine Learning tools: hands-on - David Rousseau (IJCLab, CNRS/IN2P3, Université Paris-Saclay)   ()
09:00
Classical interval estimation, limits, systematics and beyond (until 10:30) ()
09:00 Classical interval estimation, limits, systematics and beyond 1/2 - Glen Cowan (Royal Holloway)   ()
10:30 --- Coffee Break ---
11:00
Deep learning at colliders (until 12:30) ()
11:00 Deep learning at colliders - Jean-Roch Vlimant (UCSB)   ()
08:30
Classical interval estimation, limits, systematics and beyond (until 10:00) ()
08:30 Classical interval estimation, limits, systematics and beyond 2/2 - Glen Cowan (Royal Holloway)   ()
10:00 --- Coffee Break ---
10:30
Multitask learning for astroparticle physics (until 12:00) ()
10:30 Multitask learning for astroparticle physics - Dr Thomas Vuillaume (LAPP, CNRS)   ()
PM
12:00 --- Lunch / buffet / Room Registration ---
14:30
Introduction - Sabine Crepe-Renaudin (LPSC Grenoble; IN2P3-CNRS) (until 14:45) ()
14:30 Introduction - Yann Coadou (CPPM Marseille)   ()
14:45
Basic concepts of statistics (until 16:15) ()
14:45 Basic concepts of statistics 1/2 - Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))   ()
16:15 --- Coffee break ---
16:45
Basic concepts of statistics (until 18:15) ()
16:45 Basic concepts of statistics 2/2   ()
19:30 --- Dinner ---
12:30 --- Lunch ---
14:00
Statistics Hands-on (until 15:30) ()
14:00 Statistics Hands-on - Guillaume MENTION (CEA Saclay)   ()
15:30 --- Coffee break ---
16:00
Introduction to Deep learning (until 17:30) ()
16:00 Introduction to Deep Learning 1/2 - Michael Kagan (SLAC) Michael Kagan (SLAC)   ()
19:30 --- Dinner ---
12:30 --- Lunch / Free afternoon ---
19:30 --- Dinner ---
12:30 --- Lunch ---
14:00
Advanced Machine Learning: hands-on (until 15:30) ()
14:00 Advanced Machine Learning: hands-on 1/2 - Jean-Roch Vlimant (UCSB)   ()
15:30 --- Coffee break ---
16:00
Advanced Machine Learning: hands-on (until 17:30) ()
16:00 Advanced Machine Learning: hands-on 2/2 - Jean-Roch Vlimant (UCSB)   ()
19:30 --- Dinner ---
12:00
School end - Sabine Crepe-Renaudin (LPSC Grenoble; IN2P3-CNRS) (until 12:05) ()
12:15 --- Lunch ---
13:30 --- Bus departure ---