École sur l'assimilation de données, les problèmes inverses et l'apprentissage machine

8 au 10 mai 2019

Programme
 

Le mercredi 8 mai 2019
08:30 - 09:00
Inscription (5345) et café-croissants


09:00 - 10:30
Andrew M. Stuart
(California Institute of Technology)
Inverse Problems generally (optimization and Bayesian) will whole story exemplified through semi-supervised graph based learning - Part I
10:30 - 11:15
Pause-café
11:15 - 12:45
Eldad Haber
(The University of British Columbia)
DNNs/supervised learning as an inverse problem - Part I
12:45 - 14:15
Pause-déjeuner
14:15 - 15:45
Andrew M. Stuart
(California Institute of Technology)
Inverse Problems generally (optimization and Bayesian) will whole story exemplified through semi-supervised graph based learning - Part II
15:45 - 16:15
Café

 

Le jeudi 9 mai 2019
08:30 - 09:00
Café croissants


09:00 - 10:30
Sebastian Reich
(Universität Postdam)
Data Assimilation - Part I
Script
10:30 - 11:15
Pause-café
11:15 - 12:45
Andrew M. Stuart
(California Institute of Technology)
Inverse Problems generally (optimization and Bayesian) will whole story exemplified through semi-supervised graph based learning - Part III
12:45 - 14:15
Pause-déjeuner
14:15 - 15:45
Eldad Haber
(The University of British Columbia)
DNNs/supervised learning as an inverse problem - Part II
15:45
Session d'affiches et café

 

Le vendredi 10 mai 2019
08:30 - 09:00
Café croissants


09:00 - 10:30
Sebastian Reich
(Universität Postdam)
Data Assimilation - Part II
Script
10:30 - 11:15
Pause-café
11:15 - 12:45
Eldad Haber
(The University of British Columbia)
DNNs/supervised learning as an inverse problem - Part III
12:45 - 14:15
Pause-déjeuner
14:15 - 15:45
Sebastian Reich
(Universität Postdam)
Data Assimilation - Part III
Script
15:45 - 16:15
Café

Mise à jour: Le mercredi 1 mai 2019 17:07