Andreas Bergmeister

I am a doctoral researcher in AI at TU Munich, in the group of Prof. Dr. Stefanie Jegelka and affiliated with the Munich Center for Machine Learning. I received my Bachelor’s and Master’s degrees in Computer Science from ETH Zurich and interned at the Swiss Data Science Center.

I am currently working on reinforcement learning for generative models, in particular diffusion models. Earlier, I worked on scaling graph generation, and developed PJAX, an alternative to autodiff frameworks for training neural networks without gradients.