Simon Heilig

According to our database, Simon Heilig authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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