NUmerical methods for Compression and LEarning
from
Wednesday, 11 May 2022 (10:00)
to
Friday, 13 May 2022 (19:00)
Monday, 9 May 2022
Tuesday, 10 May 2022
Wednesday, 11 May 2022
16:30
Welcome and Poster Session
Welcome and Poster Session
16:30 - 17:30
Thursday, 12 May 2022
08:50
08:50 - 09:00
09:00
09:00 - 11:00
Contributions
09:00
The Reduced Basis Method in Space and Time: Challenges, Limits and Perspectives — Part 1
-
Karsten Urban
(University of Ulm)
10:00
Computing Means of SPD matrices — Part 1
-
Bruno Iannazzo
(University of Perugia)
11:00
Coffee break
Coffee break
11:00 - 11:30
11:30
11:30 - 12:30
Contributions
11:30
Compression of partial differential operators by numerical homogenization
-
Daniel Peterseim
(University of Augsburg)
12:30
Lunch
Lunch
12:30 - 14:00
14:00
14:00 - 16:00
Contributions
14:00
The Reduced Basis Method in Space and Time: Challenges, Limits and Perspectives — Part 2
-
Karsten Urban
(University of Ulm)
15:00
Computing Means of SPD matrices — Part 2
-
Bruno Iannazzo
(University of Perugia)
16:00
Coffee break and poster session
Coffee break and poster session
16:00 - 17:00
17:00
17:00 - 19:00
Contributions
17:00
Hierarchical adaptive low-rank format with applications to discretized PDEs
-
Leonardo Robol
(University of Pisa)
18:00
Neural networks, flexible activation functions and tensor decompositions
-
Konstantin Usevich
(CNRS Nancy)
20:30
Social dinner
Social dinner
20:30 - 22:00
Friday, 13 May 2022
08:30
08:30 - 10:30
Contributions
08:30
An SDP approach for tensor product approximation of linear operators on matrix spaces
-
André Uschmajew
(MPI Leipzig)
09:30
Koopman operators and a programme on the foundations of infinite-dimensional spectral computations
-
Matthew Colbrook
10:30
Coffee break
Coffee break
10:30 - 11:00
11:00
11:00 - 13:00
Contributions
11:00
Neural and operator network approximations for elliptic PDEs
-
Carlo Marcati
(University of Pavia)
12:00
Sparse optimization methods for infinite-dimensional variational problems
-
Marcello Carioni
(University of Twente)
13:00
Lunch
Lunch
13:00 - 14:30
14:30
14:30 - 16:00