4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2022
An Interpretable Neuron Embedding for Static Knowledge Distillation
Wei Han, Yangqiming Wang, Christian Böhm +1
Although deep neural networks have shown well-performance in various tasks, the poor interpretability of the models is always criticized. In the paper, we propose a new interpretab…
cs.LG2020
Massively Parallel Graph Drawing and Representation Learning
Christian Böhm, Claudia Plant
To fully exploit the performance potential of modern multi-core processors, machine learning and data mining algorithms for big data must be parallelized in multiple ways. Today's…
cs.LG2020★ 4 cited
Space-filling Curves for High-performance Data Mining
Christian Böhm
Space-filling curves like the Hilbert-curve, Peano-curve and Z-order map natural or real numbers from a two or higher dimensional space to a one dimensional space preserving locali…