902 91 771
- Unit:
- SINTEF Digital
- Department:
- Mathematics and Cybernetics
- Office:
- Trondheim
Publications
- Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
- Physics guided neural networks for modelling of non-linear dynamics
- Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
- Multi-fidelity information fusion with concatenated neural networks
- Frame invariant neural network closures for Kraichnan turbulence
- Deep neural network enabled corrective source term approach to hybrid analysis and modeling
- Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters
- Model fusion with physics-guided machine learning: Projection-based reduced-order modeling
- Applying Object Detection to Marine Data and Exploring Explainability of a Fully Convolutional Neural Network Using Principal Component Analysis
- Nonlinear proper orthogonal decomposition for convection-dominated flows