Darjan Salaj - Google Scholar Citations

201820197 56

Robert LegensteinInstitute for Theoretical Computer Science, Graz University of TechnologyVerified email at igi.tugraz.at
Wolfgang MaassProfessor of Computer Science, Graz University of TechnologyVerified email at igi.tugraz.at
Guillaume BELLECTU GrazVerified email at igi.tugraz.at
Anand SubramoneyInstitute for Theoretical Computer Science, Graz University of Technology, AustriaVerified email at igi.tugraz.at
Franz ScherrTU GrazVerified email at tugraz.at

Darjan Salaj

Institute for Theoretical Computer Science, Graz University of Technology, Austria

Verified email at igi.tugraz.at - Homepage


Title	Cited by	Year
Long short-term memory and learning-to-learn in networks of spiking neurons G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass Advances in Neural Information Processing Systems, 787-797, 2018	57	2018
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets G Bellec, F Scherr, E Hajek, D Salaj, R Legenstein, W Maass arXiv preprint arXiv:1901.09049, 2019	10	2019
Eligibility traces provide a data-inspired alternative to backpropagation through time G Bellec, F Scherr, E Hajek, D Salaj, A Subramoney, R Legenstein, ...		2019
A solution to the learning dilemma for recurrent networks of spiking neurons G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ... bioRxiv, 738385, 2019		2019
Supplementary materials for: A solution to the learning dilemma for recurrent networks of spiking neurons G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ...
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural networks G Bellec, F Scherr, D Salaj, E Hajek, R Legenstein, W Maass
Supplementary information for: Long short-term memory and learning-to-learn in networks of spiking neurons G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass

The system can't perform the operation now. Try again later.

Articles 1–7

Citations per year