MS063D Neural Network Solvers for PDEs: Bridging Theory and Practice in Scientific Computing IV
Main Organizer:
Dr.
Jooyoung Hahn
(
Czech Technical University in Prague / Faculty of Nuclear Sciences and Physical Engineering
, Czechia
)
Chaired by:
Dr. Jooyoung Hahn (Czech Technical University in Prague / Faculty of Nuclear Sciences and Physical Engineering , Czechia) , Dr. Alexander Heinlein (TU Delft , Netherlands)
Dr. Jooyoung Hahn (Czech Technical University in Prague / Faculty of Nuclear Sciences and Physical Engineering , Czechia) , Dr. Alexander Heinlein (TU Delft , Netherlands)
Scheduled presentations:
-
Neural Surface Reconstruction from Raw Point Clouds
-
Reducing Requirements on Data by Incorporating Structure
-
Nonlinear Variational Integrators
-
Neural Oscillator for Improving Generalization in Physics-Informed PDE Solvers
-
Neural Network-Based Singularity Detection and its Application to the Solution of PDEs
-
Pareto Trade-offs in Physics-Constrained Generative Modeling
