This series is organized by FAU DCN-AvH , Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany).
It includes the following topics:
- Inviscid limits of the compressible Navier-stokes equation to small BV solutions to Euler
- Understanding the Role of Network Structure in Controlling Complex Networks
- Differentiable Physics Simulations for Deep Learning
All lectures can be found here