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08:45
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opening session
-
Alberto Pace
(CERN)
()
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09:45
|
Machine learning methods: L1 Introduction to Statistics
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
()
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10:45
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Announcements
()
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11:00
|
--- Coffee ---
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11:30
|
Machine learning methods: L2 Statistics and Machine Learning
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
()
|
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08:45
|
Machine Learning in Accelerator Technologies: Machine Learning for particle accelerators
-
Verena Kain
(CERN)
()
|
|
09:45
|
Machine Learning in Accelerator Technologies: Bayesian Optimisation
-
Michael Schenk
(CERN)
()
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10:45
|
Announcements
()
|
|
11:00
|
--- Coffee ---
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11:30
|
Machine Learning Methods: L4 Introduction to Deep Learning
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
()
|
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08:45
|
Machine Learning in Accelerators: Introduction to Reinforcement Learning
()
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09:45
|
Machine Learning in Accelerators: Advanced concepts for Reinforcement Learning
()
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10:45
|
Announcements
()
|
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11:00
|
--- Coffee ---
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11:15
|
Machine learning in accelerators: Exercise 3
()
|
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08:45
|
Machine learning in Data Analysis: Introduction to Machine Learning for HEP, Anomaly detection and real time applications
- Dr
Sofia Vallecorsa
(CERN)
()
|
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09:45
|
Machine learning in Data Analysis: The data reconstruction step - a pattern recognition problem
- Dr
Sofia Vallecorsa
(CERN)
()
|
|
10:45
|
Announcements
()
|
|
11:00
|
--- Coffee ---
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11:30
|
Machine learning in Data Analysis: Generative Models for HEP
()
|
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08:45
|
Lightning talks
()
|
|
09:45
|
Machine learning in Data Analysis: Systematics in ML
- Dr
Sofia Vallecorsa
(CERN)
()
|
|
10:45
|
Announcements
()
|
|
11:00
|
--- Coffee ---
|
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11:30
|
Machine Learning Methods: L5 Advanced Deep Learning
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
Toni Sculac
(University of Split Faculty of Science (HR))
()
|
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08:00
|
Departures from MedILS
()
|
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15:00
|
Registration at MedILS
()
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16:00
|
Welcome and self presentation session
-
Kristina Gunne
(CERN)
Andrzej Nowicki
(CERN)
Alberto Pace
(CERN)
()
|
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17:30
|
Transport to Split
()
|
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18:00
|
Guided tour of Split
()
|
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19:30
|
--- Welcome dinner ---
|
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12:30
|
--- Lunch ---
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13:30
|
Study time or daily sports
()
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15:15
|
--- Coffee ---
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15:45
|
Machine learning methods: L3 Classical Machine Learning
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
Toni Sculac
(University of Split Faculty of Science (HR))
()
|
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16:45
|
--- Break ---
|
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17:00
|
Machine Learning methods: excercise 1
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
()
|
|
18:00
|
Machine Learning methods: excercise 2
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
()
|
|
19:30
|
--- Dinner at MedILS ---
|
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12:30
|
--- Lunch ---
|
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13:30
|
Study time or daily sports
()
|
|
15:15
|
--- Coffee ---
|
|
15:45
|
Machine Learning methods: exercise 3
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
()
|
|
16:45
|
--- Break ---
|
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17:00
|
Machine learning in accelerators: Exercise 1
()
|
|
18:00
|
Machine learning in accelerators: Exercise 2
()
|
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19:30
|
--- Dinner at MedILS ---
|
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12:15
|
--- Lunch ---
|
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13:00
|
River rafting excursion
()
|
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18:30
|
--- Dinner at Kastel Slanica Omis ---
|
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20:30
|
Transport back to medILS
()
|
|
|
12:30
|
--- Lunch ---
|
|
13:30
|
Study time or daily sports
()
|
|
15:15
|
--- Coffee ---
|
|
15:45
|
Machine learning in Data Analysis: Exercise 1
()
|
|
16:45
|
--- Break ---
|
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17:00
|
Machine learning in Data Analysis: Exercise 2
()
|
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18:00
|
Machine learning in Data Analysis: Exercise 3
()
|
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19:30
|
--- Dinner ---
|
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12:30
|
--- Lunch ---
|
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13:30
|
Exam
()
|
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14:30
|
--- Break ---
|
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15:00
|
Closing ceremony
-
Alberto Pace
(CERN)
()
|
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16:00
|
Sports and leisure time
()
|
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19:30
|
--- Closing dinner ---
|
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|
