Simon Heilig

According to our database, Simon Heilig authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation.

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

CoRR, 2024

2023

Static and adaptive subspace information fusion for indefinite heterogeneous proximity data.

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

Neurocomputing, October, 2023

2022

Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels.

Simon Heilig, Maximilian Münch, Frank-Michael Schleif

Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification.

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

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective.

Simon Heilig, Maximilian Münch, Frank-Michael Schleif

CoRR, 2021

Scalable embedding of multiple perspectives for indefinite life-science data analysis.

Maximilian Münch, Simon Heilig, Philipp Väth, Frank-Michael Schleif

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-perspective embedding for non-metric time series classification.

Maximilian Münch, Simon Heilig, Frank-Michael Schleif

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021