Simon Heilig, M.Sc.

PhD Student

MC 5.127
simon.heilig@rub.de
Personal Website

ELLIS PhD Student

Research Interests

  • machine learning for spatiotemporal data
  • theory and application of graph neural networks
  • graph-coupled neural ODEs

Publications

2025

Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks Proceedings Article

In: International Conference on Learning Representations (ICLR), 2025.

Links

2023

Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif

Static and Adaptive Subspace Information Fusion for Indefinite Heterogeneous Proximity Data Artikel

In: Neurocomputing, 2023.

Links

2022

Simon Heilig, Maximilian Münch, Frank-Michael Schleif

Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels Proceedings Article

In: International Joint Conference on Neural Networks (IJCNN), 2022.

Links