Chapter 39: Advanced ML Topics

Learning Objectives

• Implement graph neural networks for network topology and mesh processing
• Use neural ODEs for continuous-time dynamical systems
• Apply self-supervised learning techniques to scientific data
• Design equivariant and physics-informed neural networks
• Implement uncertainty quantification methods for neural network predictions