29 citations · 48 across the 9 of their papers we have counts for
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cs.NE2024
Efficient NAS with FaDE on Hierarchical Spaces
Simon Neumeyer, Julian Stier, Michael Granitzer
Neural architecture search (NAS) is a challenging problem. Hierarchical search spaces allow for cheap evaluations of neural network sub modules to serve as surrogate for architectu…
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…