
Wednesday, May 8, 2019 


08:30  09:00

Registration (5345) and Coffee & Croissants


09:00  10:30

Andrew M. Stuart
(California Institute of Technology) Inverse Problems generally (optimization and Bayesian) will whole story exemplified through semisupervised graph based learning  Part I 
10:30  11:15

Coffee break


11:15  12:45

Eldad Haber
(The University of British Columbia) DNNs/supervised learning as an inverse problem  Part I 
12:45  14:15

Lunch break


14:15  15:45

Andrew M. Stuart
(California Institute of Technology) Inverse Problems generally (optimization and Bayesian) will whole story exemplified through semisupervised graph based learning  Part II 
15:45  16:15

Coffee


Thursday, May 9, 2019 


08:30  09:00

Coffee & Croissants


09:00  10:30

Sebastian Reich
(Universität Postdam) Data Assimilation  Part I  Script 
10:30  11:15

Coffee break


11:15  12:45

Andrew M. Stuart
(California Institute of Technology) Inverse Problems generally (optimization and Bayesian) will whole story exemplified through semisupervised graph based learning  Part III 
12:45  14:15

Lunch break


14:15  15:45

Eldad Haber
(The University of British Columbia) DNNs/supervised learning as an inverse problem  Part II 
15:45

Poster Sesssion and Coffee


Friday, May 10, 2019 


08:30  09:00

Coffee & Croissants


09:00  10:30

Sebastian Reich
(Universität Postdam) Data Assimilation  Part II  Script 
10:30  11:15

Coffee break


11:15  12:45

Eldad Haber
(The University of British Columbia) DNNs/supervised learning as an inverse problem  Part III 
12:45  14:15

Lunch break


14:15  15:45

Sebastian Reich
(Universität Postdam) Data Assimilation  Part III  Script 
15:45  16:15

Coffee


Last modified : Wednesday, May 1, 2019 17:07