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Simon Heilig
Simon Heilig
Student at FAU Erlangen
Verified email at fau.de
Title
Cited by
Cited by
Year
Memory efficient kernel approximation for non-stationary and indefinite kernels
S Heilig, M Münch, FM Schleif
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
32022
Scalable embedding of multiple perspectives for indefinite life-science data analysis
M Münch, S Heilig, P Väth, FM Schleif
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021
22021
Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification.
M Münch, C Raab, S Heilig, M Röder, FM Schleif
ESANN, 2022
12022
Multi-perspective embedding for non-metric time series classification
M Münch, S Heilig, FM Schleif
29th European Symposium on Artificial Neural Networks, Computational …, 2021
12021
Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation
S Heilig, A Gravina, A Trenta, C Gallicchio, D Bacciu
arXiv preprint arXiv:2405.17163, 2024
2024
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data
M Münch, M Röder, S Heilig, C Raab, FM Schleif
Neurocomputing 555, 126635, 2023
2023
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Articles 1–6