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ML4Physics@Ljubljana school

from Thursday 26 June 2025 (08:30) to Wednesday 2 July 2025 (21:30)
Faculty of Mathematics and Physics, University of Ljubljana (Lecture rooms F1, F2)

        : Sessions
    /     : Talks
        : Breaks
26 Jun 2025
27 Jun 2025
28 Jun 2025
29 Jun 2025
30 Jun 2025
1 Jul 2025
2 Jul 2025
AM
08:30 --- Registration ---
09:00 Machine Learning Fundamentals 1 - Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
09:00 Real Time Machine Learning 1 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
10:30 --- break ---
11:00 Machine Learning Fundamentals 1 - Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
11:00 Real Time Machine Learning 1 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
09:00 Machine Learning Fundamentals 2 - Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
09:00 Real Time Machine Learning 2 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
10:30 --- break ---
11:00 Machine Learning Fundamentals 2 - Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
11:00 Real Time Machine Learning 2 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
09:00 Machine Learning Fundamentals 3 - Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
09:00 Real Time Machine Learning 3 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
10:30 --- break ---
11:00 Machine Learning Fundamentals 3 - Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
11:00 Real Time Machine Learning 3 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
09:00 --- free ---
09:00 Machine Learning and Unfolding - Sofia Palacios Schweitzer (ITP, University Heidelberg)   (Lecture room F1 (ground floor))
10:30 --- break ---
11:00 Machine Learning and Unfolding - Sofia Palacios Schweitzer (ITP, University Heidelberg)   (Lecture room F1 (ground floor))
09:00 Statistics and ML - Lydia Brenner (Nikhef National institute for subatomic physics (NL))   (Lecture room F1 (ground floor))
10:30 --- break ---
11:00 Statistics and ML - Lydia Brenner (Nikhef National institute for subatomic physics (NL))   (Lecture room F1 (ground floor))
09:00 Uncertainty quantification - Luigi Favaro (Universite Catholique de Louvain (UCL) (BE))   (Lecture room F1 (ground floor))
10:30 --- break ---
11:00 Uncertainty quantification - Luigi Favaro (Universite Catholique de Louvain (UCL) (BE))   (Lecture room F1 (ground floor))
PM
12:30 --- lunch ---
14:00 Machine Learning Fundamentals Exercises 1 - Lorenzo Moneta (CERN) Sanjiban Sengupta (CERN, The University of Manchester)   (Lecture room F1 (ground floor))
14:00 Real Time Machine Learning Exercises 1 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
15:30 --- break ---
16:00 Machine Learning Fundamentals Exercises 1 - Sanjiban Sengupta (CERN, The University of Manchester) Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
16:00 Real Time Machine Learning Exercises 1 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
12:30 --- lunch ---
14:00 Machine Learning Fundamentals Exercises 2 - Lorenzo Moneta (CERN) Sanjiban Sengupta (CERN, The University of Manchester)   (Lecture room F1 (ground floor))
14:00 Real Time Machine Learning Exercises 2 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
15:30 --- break ---
16:00 Machine Learning Fundamentals Exercises 2 - Lorenzo Moneta (CERN) Sanjiban Sengupta (CERN, The University of Manchester)   (Lecture room F1 (ground floor))
16:00 Real Time Machine Learning Exercises 2 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
19:30 Keynote 1: Simulation based inference - Uros Seljak (UC Berkley)   (Big lecture hall)
12:30 --- lunch ---
14:00 Machine Learning Fundamentals Exercises 3 - Sanjiban Sengupta (CERN, The University of Manchester) Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
14:00 Real Time Machine Learning Exercises 3 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
15:30 --- break ---
16:00 Machine Learning Fundamentals Exercises 3 - Sanjiban Sengupta (CERN, The University of Manchester) Lorenzo Moneta (CERN)   (Lecture room F1 (ground floor))
16:00 Real Time Machine Learning Exercises 3 - Thea Aarrestad (ETH Zurich (CH))   (Lecture room F2 (first floor))
14:00 Explainability in machine learning - Saso Dzeroski   (Lecture room F1 (ground floor))
14:00 Foundation models - Anna Hallin (University of Hamburg)   (Lecture room F2 (first floor))
15:30 --- break ---
16:00 Explainability in machine learning exercises - Katharina Dost Saso Dzeroski   (Lecture room F1 (ground floor))
16:00 Foundation models exercises - Anna Hallin (University of Hamburg)   (Lecture room F2 (first floor))
12:30 --- lunch ---
14:00 Machine Learning and Unfolding Exercises 1 - Sofia Palacios Schweitzer (ITP, University Heidelberg)   (Lecture room F1 (ground floor))
15:30 --- break ---
16:00 Machine Learning and Unfolding Exercises 1 - Sofia Palacios Schweitzer (ITP, University Heidelberg)   (Lecture room F1 (ground floor))
19:30 Social Dinner  
12:30 --- lunch ---
14:00 Statistics and ML - Exercises - Lydia Brenner (Nikhef National institute for subatomic physics (NL))   (Lecture room F1 (ground floor))
15:30 --- break ---
16:00 Statistics and ML - Exercises - Lydia Brenner (Nikhef National institute for subatomic physics (NL))   (Lecture room F1 (ground floor))
19:30 Keynote 2: Artificial Intelligence for Science: Towards Creative, Open AI Agents - Dr Nenad Tomasev (DeepMind)   (Big lecture hall)
12:30 --- lunch ---
14:00 Uncertainty quantification Exercises - Luigi Favaro (Universite Catholique de Louvain (UCL) (BE))   (Lecture room F1 (ground floor))
15:30 --- break ---
16:00 Uncertainty quantification Exercises - Luigi Favaro (Universite Catholique de Louvain (UCL) (BE))   (Lecture room F1 (ground floor))
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