61 citations · 266 across the 10 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.NE2019★ 59 cited
Sparsity through evolutionary pruning prevents neuronal networks from overfitting
Richard C. Gerum, André Erpenbeck, Patrick Krauss +1
Modern Machine learning techniques take advantage of the exponentially rising calculation power in new generation processor units. Thus, the number of parameters which are trained…
cs.GR2019★ 31 cited
pylustrator: Code generation for reproducible figures for publication
Richard Gerum
One major challenge in science is to make all results potentially reproducible. Thus, along with the raw data, every step from basic processing of the data, evaluation, to the gene…