All-memristive neuromorphic computing with level-tuned neurons A Pantazi, S Woźniak, T Tuma, E Eleftheriou Nanotechnology 27 (35), 355205, 2016 | 113 | 2016 |
Deep learning incorporating biologically inspired neural dynamics and in-memory computing S Woźniak, A Pantazi, T Bohnstingl, E Eleftheriou Nature Machine Intelligence 2 (6), 325-336, 2020 | 100* | 2020 |
Review of advances in neural networks: Neural design technology stack AD Almási, S Woźniak, V Cristea, Y Leblebici, T Engbersen Neurocomputing 174, 31-41, 2016 | 85 | 2016 |
Learning spatio-temporal patterns in the presence of input noise using phase-change memristors S Wozniak, T Tuma, A Pantazi, E Eleftheriou Circuits and Systems (ISCAS), 2016 IEEE International Symposium on, 365-368, 2016 | 22 | 2016 |
Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns S Sidler, A Pantazi, S Woźniak, Y Leblebici, E Eleftheriou International Conference on Artificial Neural Networks, 281-288, 2017 | 21 | 2017 |
Online spatio-temporal learning in deep neural networks T Bohnstingl, S Woźniak, A Pantazi, E Eleftheriou IEEE Transactions on Neural Networks and Learning Systems, 2022 | 15 | 2022 |
Neuromorphic Architecture With 1M Memristive Synapses for Detection of Weakly Correlated Inputs S Woźniak, A Pantazi, S Sidler, N Papandreou, Y Leblebici, E Eleftheriou IEEE Transactions on Circuits and Systems II: Express Briefs 64 (11), 1342-1346, 2017 | 9 | 2017 |
Neuromorphic system with phase-change synapses for pattern learning and feature extraction S Woźniak, A Pantazi, Y Leblebici, E Eleftheriou 2017 International Joint Conference on Neural Networks (IJCNN), 3724-3732, 2017 | 7 | 2017 |
Review of advances in neural networks: Neural design technology stack S Woźniak, AD Almási, V Cristea, Y Leblebici, T Engbersen Proceedings of ELM-2014 Volume 1, 367-376, 2015 | 7 | 2015 |
Building a cognitive platform for the managed IT services lifecycle K Kloeckner, CM Adam, N Anerousis, N Ayachitula, MF Bulut, G Dasgupta, ... IBM Journal of Research and Development 62 (1), 8: 1-8: 11, 2018 | 6 | 2018 |
Neuromorphic architecture for feature learning using a spiking neural network SA Wozniak, A Pantazi US Patent 11,080,592, 2021 | 4 | 2021 |
Introducing principles of synaptic integration in the optimization of deep neural networks G Dellaferrera, S Woźniak, G Indiveri, A Pantazi, E Eleftheriou Nature Communications 13 (1), 1-14, 2022 | 3 | 2022 |
Towards efficient end-to-end speech recognition with biologically-inspired neural networks T Bohnstingl, A Garg, S Woźniak, G Saon, E Eleftheriou, A Pantazi arXiv preprint arXiv:2110.02743, 2021 | 2 | 2021 |
Neuromorphic architecture with multiple coupled neurons using internal state neuron information A Pantazi, T Tuma, S Wozniak US Patent 10,755,167, 2020 | 2 | 2020 |
Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture S Wozniak, A Pantazi, Y Leblebici, E Eleftheriou 2017 IEEE International Conference on Rebooting Computing (ICRC), 2017 | 2 | 2017 |
Approximating Relu Networks by Single-Spike Computation A Stanojevic, E Eleftheriou, G Cherubini, S Woźniak, A Pantazi, ... 2022 IEEE International Conference on Image Processing (ICIP), 1901-1905, 2022 | 1 | 2022 |
Neuromorphic architecture for unsupervised pattern detection and feature learning A Pantazi, SA Wozniak US Patent 10,650,307, 2020 | 1 | 2020 |
An Exact Mapping From ReLU Networks to Spiking Neural Networks A Stanojevic, S Woźniak, G Bellec, G Cherubini, A Pantazi, W Gerstner arXiv preprint arXiv:2212.12522, 2022 | | 2022 |
Neuromorphic neuron apparatus for artificial neural networks S Wozniak, A Pantazi US Patent 11,526,735, 2022 | | 2022 |
Time-encoded multiplication-free spiking neural networks: application to data classification tasks A Stanojevic, G Cherubini, S Woźniak, E Eleftheriou Neural Computing and Applications, 1-17, 2022 | | 2022 |