Machine Learning and Applications to Physics
from
Monday, 18 December 2023 (09:30)
to
Wednesday, 20 December 2023 (18:00)
Monday, 18 December 2023
09:30
Registration
Registration
09:30 - 10:00
Room: M2 - Multiusos
10:00
Keynote
10:00 - 11:00
Room: M1 - Aula Magna
Contributions
10:00
Introduction to Artificial Intelligence
11:00
Coffee break
Coffee break
11:00 - 11:30
Room: M2 - Multiusos
11:30
Theory: Session I
Session I
11:30 - 13:30
Room: M2 - Multiusos
Contributions
11:30
Conceptos Fundamentales de Machine Learning
-
Enrique Carmona
(
UNED
)
12:30
Aprendizaje supervisado
-
Enrique Carmona
(
UNED
)
13:30
Lunch
Lunch
13:30 - 14:30
Room: M2 - Multiusos
14:30
Theory: Session II
Session II
14:30 - 16:30
Room: M2 - Multiusos
Contributions
14:30
Aprendizaje no supervisado
-
Enrique Carmona
(
UNED
)
15:30
Ethics in Artificial Intelligence
-
Joaquin L. Herraiz
(
Universidad Complutense de Madrid
)
16:30
Coffee break
Coffee break
16:30 - 17:00
Room: M2 - Multiusos
17:00
Hands-on: Session I
Session I
17:00 - 18:00
Room: M2 - Multiusos
Contributions
17:00
Introduction to ML software tools
-
Daniel Nieto Castaño
(
IPARCOS (UCM)
)
Tuesday, 19 December 2023
10:00
Theory: Session III
Session III
10:00 - 11:00
Room: M2 - Multiusos
Contributions
10:00
Deep learning I
-
Yannet Interian
11:00
Coffee break
Coffee break
11:00 - 11:30
Room: M2 - Multiusos
11:30
Theory: Session IV
Session IV
11:30 - 13:30
Room: M2 - Multiusos
Contributions
11:30
Deep learning II
-
Yannet Interian
12:30
Deep learning III
-
Yannet Interian
13:30
Lunch
Lunch
13:30 - 14:30
Room: M2 - Multiusos
14:30
Theory: Session V
Session V
14:30 - 15:30
Room: M2 - Multiusos
Contributions
14:30
Deep learning IV
-
Yannet Interian
15:30
Applications: Session I
Session I
15:30 - 16:30
Room: M2 - Multiusos
Contributions
15:30
How to incorporate ML to your research projects
-
Joaquin L. Herraiz
(
Universidad Complutense de Madrid
)
16:30
Coffee break
Coffee break
16:30 - 17:00
Room: M2 - Multiusos
17:00
Hands-on: Session II
Session II
17:00 - 18:00
Room: M2 - Multiusos
Contributions
17:00
A practical example: Medical Physics
-
Joaquin L. Herraiz
(
Universidad Complutense de Madrid
)
Wednesday, 20 December 2023
10:00
Applications: Session II
Session II
10:00 - 11:00
Room: M2 - Multiusos
Contributions
10:00
Deep learning and Cherenkov telescopes
-
Daniel Nieto Castaño
(
IPARCOS (UCM)
)
10:30
Machine learning and Particle Physics
-
Pia Zurita
(
UCM
)
11:00
Coffee break
Coffee break
11:00 - 11:30
Room: M2 - Multiusos
11:30
Applications: Applications III
Applications III
11:30 - 12:30
Room: M2 - Multiusos
Contributions
11:30
ML and Astrophysics
-
Francisco Miguel Montenegro Montes
(
IPARCOS-UCM
)
12:00
ML and Medical Physics
-
Mailyn Pérez Liva
(
IPARCOS-UCM
)
12:30
Hands-on: Session III
Session III
12:30 - 13:30
Room: M2 - Multiusos
Contributions
12:30
Introduction to projects
-
Francisco Miguel Montenegro Montes
(
IPARCOS-UCM
)
Mailyn Pérez Liva
(
IPARCOS-UCM
)
Pia Zurita
(
UCM
)
Daniel Nieto Castaño
(
IPARCOS (UCM)
)
13:30
Lunch
Lunch
13:30 - 14:30
Room: M2 - Multiusos
14:30
Hands-on: Session IV
Session IV
14:30 - 15:30
Room: M2 - Multiusos
Contributions
14:30
Participants projects I
-
Mailyn Pérez Liva
(
IPARCOS-UCM
)
Francisco Miguel Montenegro Montes
(
IPARCOS-UCM
)
Pia Zurita
(
UCM
)
Daniel Nieto Castaño
(
IPARCOS (UCM)
)
15:30
Coffee break
Coffee break
15:30 - 16:00
Room: M2 - Multiusos
16:00
Hands-on: Session V
Session V
16:00 - 18:00
Room: M2 - Multiusos
Contributions
16:00
Participants projects
-
Pia Zurita
(
UCM
)
Francisco Miguel Montenegro Montes
(
IPARCOS-UCM
)
Mailyn Pérez Liva
(
IPARCOS-UCM
)
Daniel Nieto Castaño
(
IPARCOS (UCM)
)
17:00
Projects summary, discussion and closing remarks
-
Daniel Nieto Castaño
(
IPARCOS (UCM)
)
Francisco Miguel Montenegro Montes
(
IPARCOS-UCM
)
Mailyn Pérez Liva
(
IPARCOS-UCM
)
Pia Zurita
(
UCM
)