IN2P3 School of Statistics 2022
de
lundi 16 mai 2022 (08:00)
à
vendredi 20 mai 2022 (18:00)
lundi 16 mai 2022
09:00
Arrival
Arrival
09:00 - 12:30
12:30
Lunch
Lunch
12:30 - 14:00
14:00
Welcome
-
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
Welcome
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
14:00 - 14:05
14:05
Basic concepts of statistics - Part I
-
Romain Madar
(
Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC)
)
Basic concepts of statistics - Part I
Romain Madar
(
Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC)
)
14:05 - 15:30
15:30
Break
Break
15:30 - 16:00
16:00
Basic concepts of statistics - Part II
-
Romain Madar
(
Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC)
)
Basic concepts of statistics - Part II
Romain Madar
(
Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC)
)
16:00 - 17:30
20:00
Dinner
Dinner
20:00 - 21:30
mardi 17 mai 2022
09:00
Introduction to machine learning
-
Vincent Barra
(
UCA
)
Introduction to machine learning
Vincent Barra
(
UCA
)
09:00 - 10:30
10:30
Break
Break
10:30 - 11:00
11:00
Performance metrics; Boosted decision trees
-
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
Performance metrics; Boosted decision trees
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
11:00 - 12:30
12:30
Lunch
Lunch
12:30 - 14:00
14:00
Hands-on: basic statistics
-
Guillaume Mention
(
CEA Saclay
)
Hands-on: basic statistics
Guillaume Mention
(
CEA Saclay
)
14:00 - 17:30
20:00
Dinner
Dinner
20:00 - 21:30
mercredi 18 mai 2022
09:00
Classical interval estimation, limits, systematics and beyond - Part I
-
Nicolas Berger
(
LAPP
)
Classical interval estimation, limits, systematics and beyond - Part I
Nicolas Berger
(
LAPP
)
09:00 - 10:30
10:30
Break
Break
10:30 - 11:00
11:00
Hands-on: introduction to machine learning tools
-
David Rousseau
(
IJCLab, CNRS/IN2P3, Université Paris-Saclay
)
Hands-on: introduction to machine learning tools
David Rousseau
(
IJCLab, CNRS/IN2P3, Université Paris-Saclay
)
11:00 - 12:30
12:30
Lunch
Lunch
12:30 - 14:00
14:00
Free
Free
14:00 - 18:00
20:00
Dinner
Dinner
20:00 - 21:30
jeudi 19 mai 2022
09:00
Classical interval estimation, limits, systematics and beyond - Part II
-
Nicolas Berger
(
LAPP
)
Classical interval estimation, limits, systematics and beyond - Part II
Nicolas Berger
(
LAPP
)
09:00 - 10:30
10:30
Break
Break
10:30 - 11:00
11:00
Introduction to deep learning - Part I
-
Veronica Sanz
(
Universidad de Valencia & University of Sussex
)
Introduction to deep learning - Part I
Veronica Sanz
(
Universidad de Valencia & University of Sussex
)
11:00 - 12:30
12:30
Lunch
Lunch
12:30 - 14:00
14:00
Introduction to deep learning - Part II
-
Veronica Sanz
(
Universidad de Valencia & University of Sussex
)
Introduction to deep learning - Part II
Veronica Sanz
(
Universidad de Valencia & University of Sussex
)
14:00 - 15:30
15:30
Break
Break
15:30 - 16:00
16:00
Deep learning at colliders
-
Anja Butter
(
ITP, Universität Heidelberg
)
Anja Butter
(
Universität Heidelberg
)
Deep learning at colliders
Anja Butter
(
ITP, Universität Heidelberg
)
Anja Butter
(
Universität Heidelberg
)
16:00 - 17:30
20:00
Social cocktail dinner
Social cocktail dinner
20:00 - 21:30
vendredi 20 mai 2022
08:30
Hands-on: advanced machine learning
-
Veronica Sanz
(
Universidad de Valencia & University of Sussex
)
Hands-on: advanced machine learning
Veronica Sanz
(
Universidad de Valencia & University of Sussex
)
08:30 - 10:30
10:30
Break
Break
10:30 - 10:55
10:55
CERN quantum technology initiative
-
Sofia Vallecorsa
(
CERN
)
CERN quantum technology initiative
Sofia Vallecorsa
(
CERN
)
10:55 - 12:25
12:25
Farewell
Farewell
12:25 - 12:30
12:30
Lunch
Lunch
12:30 - 14:00
14:00
Departure
Departure
14:00 - 15:30