Simon Heilig

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Kernel Matrices

Gaussian Kernel

Memory Efficient

Multiple Perspectives

Top Venues

Publications

Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. CoRR (2024)
Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data. Neurocomputing 555 (2023)
Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif
Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. ESANN (2022)
Simon Heilig, Maximilian Münch, Frank-Michael Schleif
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels. IJCNN (2022)
Maximilian Münch, Simon Heilig, Frank-Michael Schleif
Multi-perspective embedding for non-metric time series classification. ESANN (2021)
Simon Heilig, Maximilian Münch, Frank-Michael Schleif
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective. CoRR (2021)
Maximilian Münch, Simon Heilig, Philipp Väth, Frank-Michael Schleif
Scalable embedding of multiple perspectives for indefinite life-science data analysis. SSCI (2021)