|
08:45
|
opening session
-
Alberto Pace
(CERN)
()
|
09:45
|
Machine learning methods: L1 Introduction to Statistics
-
Toni Sculac
(University of Split Faculty of Science (HR))
()
|
10:45
|
Announcements
()
|
11:00
|
--- Coffee break ---
|
11:30
|
Machine learning methods: L2 Statistics and Machine Learning
-
Toni Sculac
(University of Split Faculty of Science (HR))
()
|
|
08:45
|
Machine Learning in Accelerator Technologies: Machine Learning for particle accelerators
-
Verena Kain
(CERN)
()
|
09:45
|
Machine Learning in Accelerator Technologies: Bayesian Optimisation
-
Verena Kain
(CERN)
()
|
10:45
|
Announcements
()
|
11:00
|
--- Coffee break ---
|
11:30
|
Machine Learning Methods: L4 Introduction to Deep Learning
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
Toni Sculac
(University of Split Faculty of Science (HR))
()
|
|
08:45
|
Machine Learning in Accelerators: Introduction to Reinforcement Learning
-
Michael Schenk
(CERN)
()
|
09:45
|
Machine Learning in Accelerators: Advanced concepts for Reinforcement Learning
-
Verena Kain
(CERN)
()
|
10:45
|
Announcements
()
|
11:00
|
--- Coffee break ---
|
11:30
|
Machine Learning methods: exercise 3
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
()
|
|
08:45
|
Machine learning in Data Analysis: Introduction to Machine Learning for HEP, Anomaly detection and real time applications
- Dr
Sofia Vallecorsa
(CERN)
()
|
09:45
|
Machine learning in Data Analysis: The data reconstruction step - a pattern recognition problem
- Dr
Sofia Vallecorsa
(CERN)
()
|
10:45
|
Announcements
()
|
11:00
|
Group photo
()
|
11:05
|
--- Coffee break ---
|
11:30
|
Machine learning in Data Analysis: Generative Models for HEP
-
Ilaria Luise
(CERN)
()
|
|
08:45
|
Lightning talks
()
|
09:45
|
Machine learning in Data Analysis: Systematics in ML
-
Ilaria Luise
(CERN)
()
|
10:45
|
Announcements
()
|
11:00
|
--- Coffee ---
|
11:30
|
Machine learning in Data Analysis: Exercise 3
-
Ilaria Luise
(CERN) Dr
Sofia Vallecorsa
(CERN)
()
|
|
|
15:00
|
Registration at Hotel
()
|
18:00
|
Walk around Malmö
()
|
19:30
|
--- Welcome dinner ---
|
|
12:30
|
--- Lunch ---
|
13:30
|
Machine learning methods: L3 Classical Machine Learning
-
Toni Sculac
(University of Split Faculty of Science (HR))
()
|
14:30
|
Machine Learning methods: excercise 1
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
Toni Sculac
(University of Split Faculty of Science (HR))
()
|
15:30
|
--- Coffee break ---
|
16:00
|
Machine Learning methods: excercise 2
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
()
|
17:00
|
Study time or daily sports
()
|
19:00
|
--- Dinner ---
|
|
12:30
|
--- Lunch ---
|
13:30
|
Machine Learning Methods: L5 Advanced Deep Learning
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
Toni Sculac
(University of Split Faculty of Science (HR))
()
|
14:30
|
--- Coffee break ---
|
15:00
|
Machine learning in accelerators: Exercise 1
-
Michael Schenk
(CERN)
Verena Kain
(CERN)
()
|
16:00
|
Machine learning in accelerators: Exercise 2
-
Verena Kain
(CERN)
Michael Schenk
(CERN)
()
|
17:00
|
Study time or daily sports
()
|
19:00
|
--- Dinner ---
|
|
12:30
|
--- Lunch ---
|
13:15
|
Afternoon activity
()
|
19:00
|
--- Dinner ---
|
|
12:30
|
--- Lunch ---
|
13:30
|
Machine learning in Data Analysis: Exercise 1
- Dr
Sofia Vallecorsa
(CERN)
Ilaria Luise
(CERN)
()
|
14:30
|
Machine learning in Data Analysis: Exercise 2
-
Ilaria Luise
(CERN) Dr
Sofia Vallecorsa
(CERN)
()
|
15:30
|
--- Coffee break ---
|
16:00
|
Machine learning in accelerators: Exercise 3
-
Verena Kain
(CERN)
()
|
17:00
|
Study time or daily sports
()
|
19:00
|
--- Dinner ---
|
|
12:30
|
--- Lunch ---
|
13:30
|
Exam
()
|
14:30
|
--- Break ---
|
15:00
|
Closing ceremony
-
Alberto Pace
(CERN)
()
|
16:00
|
Sports and leisure time
()
|
18:00
|
--- Boule games and dinner at Malmö Boulebar ---
|
|
|