
MS166A Advancing SCiML Surrogates via Numerical Methods and Vice Versa I
MS Corresponding Organizer:
Dr.
Alena Kopanicakova
(
Brown University
, United States
)
Chaired by:
Dr. Alexander Heinlein (TU Delft , Netherlands) , Dr. Alena Kopanicakova (Brown University , United States)
Dr. Alexander Heinlein (TU Delft , Netherlands) , Dr. Alena Kopanicakova (Brown University , United States)
Scheduled presentations:
-
Learning Adaptive Coarse Basis Functions of FETI-DP
-
Training Deep Neural Networks Using Multilevel and Domain Decomposition Methods
-
Iterative algorithms for partitioned neural network approximation to partial differential equations
-
Towards ExaScale Training: Domain Decomposition Methods for the Efficient Training of Neural Networks
-
Algorithm Switching for Multiobjective Derivative Free Optimization
-
Data-driven surrogate models for an efficient numerical homogenization of open-porous biopolymer aerogels