1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DS2024
Graph Visualization for Blockchain Data
Marcell Dietl, Andre Gemünd, Daniel Oeltz +2
In this report, we introduce a novel approach to visualize extremely large graphs efficiently. Our method combines two force-directed algorithms, Kamada-Kawai and ForceAtlas2, to h…
q-fin.ST2023★ 1 cited
Parameterized Neural Networks for Finance
Daniel Oeltz, Jan Hamaekers, Kay F. Pilz
We discuss and analyze a neural network architecture, that enables learning a model class for a set of different data samples rather than just learning a single model for a specifi…