Outline and Schedule

Outline of the Tutorial

1. Introduction to Differential Equations
   • What are Differential Equations
   • Solving Differential Equations
   • Differential Equations in Real life
2. Neural Networks for Solving Differential Equations
   • Challenges of Numerical Methods
   • Physics-Informed Neural Networks
   • Hands-on with the DeepXDE Library
   • Neural Operators
   • Hands-on with the Neural Operators library
3. Neural Networks for Modelling Differential Equations
   • Challenges on Differential Equations Formulation for Describing Real-world Systems
   • Neural Ordinary Differential Equations
   • Hands-on with the Torchdiffeq Library
4. Wrap-up
   • Physics-Informed Neural Networks versus Neural Ordinary Differential Equations
   • What’s Next? (lightining talk on Neural Operators, Neural Laplace, etc.)

Schedule

1st Part. 14:00h-15:30h

Coffee break. 15:30h-16:00h

2nd Part. 16:00h-17:30h