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08:45
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Opening session
-
Alberto Pace
(CERN) Ms
Annika Annerby Jansson
(Region Skane)
(Hörsal B2 1st floor)
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09:45
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Machine learning methods: L1 Introduction to Statistics
-
Toni Sculac
(University of Split Faculty of Science (HR))
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10:45
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Announcements
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11:00
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--- Coffee break ---
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11:30
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Machine learning methods: L2 Statistics and Machine Learning
-
Toni Sculac
(University of Split Faculty of Science (HR))
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08:45
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Machine Learning in Accelerator Technologies: Machine Learning for particle accelerators
-
Verena Kain
(CERN)
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09:45
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Machine Learning in Accelerator Technologies: Bayesian Optimisation
-
Verena Kain
(CERN)
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10:45
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Announcements
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11:00
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--- Coffee break ---
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11:30
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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))
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08:15
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Lightning talks - part 1
-
Athar Khodabakhsh
Jaroslaw Szumega
(CERN EP-DT-DD, Mines ParisTech (FR))
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08:45
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Machine Learning in Accelerators: Introduction to Reinforcement Learning
-
Michael Schenk
(CERN)
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09:45
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Machine Learning in Accelerators: Advanced concepts for Reinforcement Learning
-
Verena Kain
(CERN)
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10:45
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Announcements
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11:00
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--- Coffee break ---
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11:30
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Machine Learning methods: exercise 3
-
Toni Sculac
(University of Split Faculty of Science (HR))
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
(Lecture room 5th floor)
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08:15
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Lightning talks - part 2
-
Laurence Matthew Wroe
(CERN)
Joao Ramiro
Giacomo Tangari
(Sapienza Universita e INFN, Roma I (IT))
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08:45
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Machine Learning in Data Analysis: Complex tasks, basic blocks. The importance of primitives in Machine Learning
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
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09:45
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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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10:45
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Announcements
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11:00
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Group photo
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11:05
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--- Coffee break ---
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11:30
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Machine learning in Data Analysis: The data reconstruction step - a pattern recognition problem
- Dr
Sofia Vallecorsa
(CERN)
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08:45
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Machine learning in Data Analysis: Generative Models for HEP
- Dr
Sofia Vallecorsa
(CERN)
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09:45
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Machine learning in Data Analysis: Systematics in ML
- Dr
Sofia Vallecorsa
(CERN)
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10:45
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Announcements
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11:00
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--- Coffee ---
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11:30
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Machine learning in Data Analysis: Exercise 3
- Dr
Sofia Vallecorsa
(CERN)
(Lecture room 5th floor)
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15:30
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Registration at Hotel
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17:00
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Welcome and self presentation
-
Andrzej Nowicki
(CERN)
Kristina Gunne
(CERN)
Alberto Pace
(CERN)
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18:00
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Short walk in Malmö
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19:00
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--- Welcome to Malmö dinner ---
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12:30
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--- Lunch ---
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13:30
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Machine learning methods: L3 Classical Machine Learning
-
Toni Sculac
(University of Split Faculty of Science (HR))
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14:30
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--- Move to Lecture room on 5th floor ---
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14:35
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Machine Learning methods: excercise 1
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
Toni Sculac
(University of Split Faculty of Science (HR))
(Lecture room 5th floor)
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15:35
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--- Coffee break ---
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16:00
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Machine Learning methods: excercise 2
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
Toni Sculac
(University of Split Faculty of Science (HR))
(Lecture room 5th floor)
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17:00
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Malmö: from harbor industry to startup-city
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19:00
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--- Dinner ---
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12:30
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--- Lunch ---
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13:30
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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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14:30
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--- Move to Lecture room on 5th floor ---
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14:35
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Machine learning in accelerators: Exercise 1
-
Michael Schenk
(CERN)
Verena Kain
(CERN)
(Lecture room 5th floor)
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15:35
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--- Coffee break ---
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16:00
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Machine learning in accelerators: Exercise 2
-
Verena Kain
(CERN)
Michael Schenk
(CERN)
(Lecture room 5th floor)
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17:00
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Study time or daily sports
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19:00
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--- Dinner ---
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12:30
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--- Lunch ---
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13:45
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Transport by bus from Comfort Hotel to Snogeholm
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14:45
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Destination Snogeholm
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12:30
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--- Lunch ---
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13:30
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Machine learning in Data Analysis: Exercise 1
- Dr
Sofia Vallecorsa
(CERN)
(Lecture room 5th floor)
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14:30
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Machine learning in Data Analysis: Exercise 2
- Dr
Sofia Vallecorsa
(CERN)
(Lecture room 5th floor)
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15:30
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--- Coffee break ---
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16:00
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Machine learning in accelerators: Exercise 3
-
Verena Kain
(CERN)
(Lecture room 5th floor)
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17:00
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Study time or daily sports
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19:00
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--- Dinner ---
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12:30
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--- Lunch ---
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13:30
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Exam
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14:30
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--- Break ---
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15:00
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Closing ceremony
-
Alberto Pace
(CERN)
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16:00
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Sports and leisure time
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18:00
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--- Boule games and dinner at Malmö Boulebar ---
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