Johannes Brandstetter

We propose a method for modeling dynamical systems, that bridges efficient latent space modeling with entity tracking by introducing identifier representations that maintain entity traceability within a latent system representation.

We propose GyroSwin, a 5D Swin Transformer to learn a 5D PDE commonly encountered in Gyrokinetics to simulate turbulence in a nuclear fusion reactor.