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Roeland Nusselder

2 papers hereh-index 4191 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

most citedEfficient Computation in Adaptive Artificial Spiking Neural Networks

19 citations · 19 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019

Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization

Koen Helwegen, James Widdicombe, Lukas Geiger +3

Optimization of Binarized Neural Networks (BNNs) currently relies on real-valued latent weights to accumulate small update steps. In this paper, we argue that these latent weights…

cs.NE2017★ 19 cited

Efficient Computation in Adaptive Artificial Spiking Neural Networks

Davide Zambrano, Roeland Nusselder, H. Steven Scholte +1

Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in AN…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.