IN2P3 School of Statistics 2021
de
lundi 18 janvier 2021 (08:00)
à
vendredi 29 janvier 2021 (18:00)
lundi 18 janvier 2021
09:00
Welcome
-
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
Welcome
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
09:00 - 09:05
09:05
Basic concepts of statistics - Part I
-
Julien Donini
(
UBP/LPC/IN2P3
)
Basic concepts of statistics - Part I
Julien Donini
(
UBP/LPC/IN2P3
)
09:05 - 10:35
10:35
Coffee break
Coffee break
10:35 - 10:50
10:50
Basic concepts of statistics - Part II
-
Julien Donini
(
UBP/LPC/IN2P3
)
Basic concepts of statistics - Part II
Julien Donini
(
UBP/LPC/IN2P3
)
10:50 - 12:20
mardi 19 janvier 2021
09:00
Classical interval estimation, limits systematics and beyond - Part I
-
Glen Cowan
(
Royal Holloway
)
Classical interval estimation, limits systematics and beyond - Part I
Glen Cowan
(
Royal Holloway
)
09:00 - 10:30
10:30
Coffee Break
Coffee Break
10:30 - 10:45
10:45
Classical interval estimation, limits systematics and beyond - Part II
-
Glen Cowan
(
Royal Holloway
)
Classical interval estimation, limits systematics and beyond - Part II
Glen Cowan
(
Royal Holloway
)
10:45 - 12:15
mercredi 20 janvier 2021
10:00
Basics of statistics: hands-on
-
Guillaume MENTION
(
CEA Saclay
)
Basics of statistics: hands-on
Guillaume MENTION
(
CEA Saclay
)
10:00 - 12:00
The link to the notebook: https://colab.research.google.com/github/gmention-at-cea/sos2021/blob/master/SOS2021_practice_Basic_statistics.ipynb
jeudi 21 janvier 2021
09:00
Introduction to Machine Learning
-
Vincent Barra
(
ISIMA
)
Introduction to Machine Learning
Vincent Barra
(
ISIMA
)
09:00 - 10:30
vendredi 22 janvier 2021
09:00
Boosted Decision Trees
-
Yann Coadou
(
CPPM Marseille
)
Boosted Decision Trees
Yann Coadou
(
CPPM Marseille
)
09:00 - 10:30
samedi 23 janvier 2021
dimanche 24 janvier 2021
lundi 25 janvier 2021
09:00
Basics Machine Leaning: hands-on
-
David Rousseau
(
IJCLab, CNRS/IN2P3, Université Paris-Saclay
)
Basics Machine Leaning: hands-on
David Rousseau
(
IJCLab, CNRS/IN2P3, Université Paris-Saclay
)
09:00 - 12:00
To prepare the hands on session : please try and run beforehand https://colab.research.google.com/github/dhrou/HEPMLtutorials/blob/master/HEPML_HandsOn_install_check.ipynb This is not the tutorial per se, but this exercises xgboost, lightgbm and tensor flow, this is especially useful to test standalone installation. The two notebooks we will use are in GitHub dhrou/HEPMLtutorials : HEPML_HandsOn_BDT.ipynb and HEPML_HandsOn_NN.ipynb This session will be 9 to 12 with a break 10:30 to 10:45. I will stop regularly to let people experiment by themselves.
mardi 26 janvier 2021
09:00
Introduction to Deep Learning - Part I
-
Michael Kagan
(
SLAC
)
Introduction to Deep Learning - Part I
Michael Kagan
(
SLAC
)
09:00 - 10:30
10:30
Coffee break
Coffee break
10:30 - 10:45
10:45
Introduction to Deep Learning - Part II
-
Michael Kagan
(
SLAC
)
Introduction to Deep Learning - Part II
Michael Kagan
(
SLAC
)
10:45 - 12:15
mercredi 27 janvier 2021
09:00
Deep learning at colliders
-
Jean-Roch Vlimant
(
California Institute of Technology
)
Deep learning at colliders
Jean-Roch Vlimant
(
California Institute of Technology
)
09:00 - 10:30
jeudi 28 janvier 2021
09:00
Advanced Machine Learning: hands-on
-
Jean-Roch Vlimant
(
California Institute of Technology
)
Advanced Machine Learning: hands-on
Jean-Roch Vlimant
(
California Institute of Technology
)
09:00 - 12:00
vendredi 29 janvier 2021
09:00
Multitasks learning for astroparticle physics
-
Thomas Vuillaume
(
LAPP, CNRS
)
Multitasks learning for astroparticle physics
Thomas Vuillaume
(
LAPP, CNRS
)
09:00 - 10:15
10:15
Coffee break
Coffee break
10:15 - 10:30
10:30
Introduction to Deep Learning - Part III extra time
-
Michael Kagan
(
SLAC
)
Introduction to Deep Learning - Part III extra time
Michael Kagan
(
SLAC
)
10:30 - 12:00
slides shown are the second part from the second talk on Tuesday
12:00
Farewell
-
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
Farewell
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
12:00 - 12:05