Program
| Time |
Event |
|
|
10:00 - 12:00
|
Welcome - Welcome of the participants and presentation of the school |
|
|
12:00 - 14:00
|
Lunch |
|
|
14:00 - 15:30
|
Introduction to Astro Data - A. Schaaff |
|
|
14:00 - 15:30 |
› Introduction aux données astrophysiques - André Schaaff, CDS |
|
|
15:30 - 16:00
|
Coffee break |
|
|
16:00 - 17:30
|
TP : Astro Data - André Schaaff [Centre de Données astronomiques de Strasbourg] |
|
|
18:00 - 19:00
|
Cocktail |
|
|
19:30 - 20:30
|
Dinner |
|
| Time |
Event |
|
|
07:30 - 08:30
|
Breakfast |
|
|
08:30 - 10:00
|
Machine Learning: Data preprocessing - Valérie Gautard [Commissariat à l'Energie Atomique] |
|
|
08:30 - 10:00 |
› Machine Learning - pré traitement - Valerie Gautard, CEA- Saclay |
|
|
10:00 - 10:30
|
Coffee break |
|
|
10:30 - 12:00
|
Machine Learning: Automatic Classification - Valérie Gautard [Commissariat à l'Energie Atomique] |
|
|
10:30 - 12:00 |
› Machine Learning - Classification - Valerie Gautard, CEA- Saclay |
|
|
12:00 - 14:00
|
Lunch |
|
|
14:00 - 17:30
|
TP : Machine Learning - Valérie Gautard [Commissariat à l'Energie Atomique] |
|
|
19:30 - 20:30
|
Dinner |
|
| Time |
Event |
|
|
07:30 - 08:30
|
Breakfast |
|
|
08:30 - 10:00
|
Introduction to MLOps - Alexandre Boucaud [Laboratoire AstroParticules et Cosmologie] |
|
|
08:30 - 10:00 |
› Introduction au MLOps - Alexandre Boucaud, APC - Cosmologie |
|
|
10:00 - 10:30
|
Coffee break |
|
|
10:30 - 12:00
|
TP - MLOps - Alexandre Boucaud [Laboratoire AstroParticules et Cosmologie] |
|
|
12:00 - 14:00
|
Lunch |
|
|
14:00 - 16:00
|
TP - MLOps - Alexandre Boucaud [Laboratoire AstroParticules et Cosmologie] |
|
|
16:00 - 20:00
|
Excursion |
|
|
19:30 - 20:30
|
Dinner |
|
| Time |
Event |
|
|
07:30 - 08:30
|
Breakfast |
|
|
08:30 - 10:00
|
Deep Learning : Introduction neural networks - Françoise Bouvet [Laboratoire de physique des 2 infinis] |
|
|
08:30 - 10:00 |
› Deep Learning - Réseaux de neurones - Françoise Bouvet, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie |
|
|
10:00 - 10:30
|
Coffee break |
|
|
10:30 - 12:00
|
Deep Learning : Convolutional networks - Françoise Bouvet [Laboratoire de physique des 2 infinis] |
|
|
10:30 - 12:00 |
› Deep Learning - Réseaux convolutifs - Françoise Bouvet, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie |
|
|
12:00 - 14:00
|
Lunch |
|
|
14:00 - 17:30
|
TP : Deep Learning - Françoise Bouvet [Laboratoire de physique des 2 infinis] |
|
|
19:30 - 20:30
|
Dinner |
|
|
20:30 - 22:30
|
Olympiad AstroInfo 2023 |
|
| Time |
Event |
|
|
07:30 - 08:30
|
Breakfast |
|
|
08:30 - 10:00
|
Deep Learning : Normalizing flows - Justine Zeghal [Laboratoire AstroParticules et Cosmologie] |
|
|
08:30 - 10:00 |
› Normalizing flows - Justine Zeghal, APC - Cosmologie |
|
|
10:00 - 10:30
|
Coffee break |
|
|
10:30 - 12:00
|
TP: Normalizing flows - Justine Zeghal [Laboratoire AstroParticules et Cosmologie] |
|
|
12:00 - 14:00
|
Lunch |
|
|
14:00 - 15:30
|
TP: Normalizing flows - Justine Zeghal [Laboratoire AstroParticules et Cosmologie] |
|
|
15:30 - 16:30
|
Scool summary - end of the 1st week |
|
|
19:30 - 20:30
|
Dinner |
|
|
