Andreas Bergmeister

I am a graduate from ETH Zurich with a Master’s degree in Computer Science. Currently, I am interning at the Swiss Data Science Center. My research interests include machine learning in general, and in particular, geometric deep learning and generative models. I am also interested in the application of machine learning to real-world problems, 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},
}