Andreas Bergmeister

I am a first-year Ph.D. student at TU Munich, supervised by Prof. Dr. Stefanie Jegelka. I received my Bachelor’s and Master’s degrees in Computer Science from ETH Zurich. Previously, I interned at the Swiss Data Science Center.

My research interests are broadly in the field of machine learning, with a particular focus on geometric deep learning and generative models. I am also passionate about leveraging machine learning techniques to address real-world challenges, such as in biology and medicine.

selected publications

Efficient and Scalable Graph Generation through Iterative Local Expansion

Andreas Bergmeister, Karolis Martinkus , Nathanaël Perraudin , and 1 more author

ICLR, 2024

arXiv Bib PDF Blog Code Poster

@article{bergmeister2024efficient,
  title = {Efficient and Scalable Graph Generation through Iterative Local Expansion},
  author = {Bergmeister, Andreas and Martinkus, Karolis and Perraudin, Nathanaël and Wattenhofer, Roger},
  year = {2024},
  journal = {ICLR},
}