A Hybridizable Finite Element Approach for Learning Ordinary Differential Equations from Data
Category
Poster
Client
- Research Council of Norway (RCN) / 338779
Language
English
Author(s)
- Sunniva Meltzer
- Martine Dyring Hansen
- Brooks Kinch
- Nathaniel Trask
Affiliation
- SINTEF Digital / Mathematics and Cybernetics
- Norwegian University of Science and Technology
- University of Pennsylvania
Presented at
MSML 2025
Place
Naples
Date
04.08.2025 - 08.08.2025
Organizer
University of Naples