29 citations · 48 across the 9 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.NE2019★ 13 cited
Structural Analysis of Sparse Neural Networks
Julian Stier, Michael Granitzer
Sparse Neural Networks regained attention due to their potential for mathematical and computational advantages. We give motivation to study Artificial Neural Networks (ANNs) from a…
cs.AI2019★ 29 cited
Analysing Neural Network Topologies: a Game Theoretic Approach
Julian Stier, Gabriele Gianini, Michael Granitzer +1
Artificial Neural Networks have shown impressive success in very different application cases. Choosing a proper network architecture is a critical decision for a network's success,…