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 | 188* | 2020 |
All-memristive neuromorphic computing with level-tuned neurons A Pantazi, S Woźniak, T Tuma, E Eleftheriou Nanotechnology 27 (35), 355205, 2016 | 139 | 2016 |
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 | 99 | 2016 |
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 | 49 | 2022 |
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh S Jain, H Tsai, CT Chen, R Muralidhar, I Boybat, MM Frank, S Woźniak, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 31 (1), 114-127, 2022 | 25 | 2022 |
Unsupervised learning using phase-change synapses and complementary patterns S Sidler, A Pantazi, S Woźniak, Y Leblebici, E Eleftheriou Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 24 | 2017 |
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 | 23 | 2016 |
An exact mapping from ReLU networks to spiking neural networks A Stanojevic, S Woźniak, G Bellec, G Cherubini, A Pantazi, W Gerstner Neural Networks 168, 74-88, 2023 | 20 | 2023 |
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), 1885, 2022 | 19 | 2022 |
Neuromorphic optical flow and real-time implementation with event cameras Y Schnider, S Woźniak, M Gehrig, J Lecomte, A Von Arnim, L Benini, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
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 | 10 | 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 | 10 | 2017 |
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 | 9 | 2021 |
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 | 7 | 2018 |
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: Algorithms and Theories, 367-376, 2015 | 7 | 2015 |
Design of Time-Encoded Spiking Neural Networks in 7-nm CMOS Technology S Widmer, M Kossel, G Cherubini, S Woźniak, PA Francese, A Stanojevic, ... IEEE Transactions on Circuits and Systems II: Express Briefs 70 (9), 3639-3643, 2023 | 6 | 2023 |
Speech Recognition Using Biologically-Inspired Neural Networks T Bohnstingl, A Garg, S Woźniak, G Saon, E Eleftheriou, A Pantazi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
Neuromorphic architecture for feature learning using a spiking neural network SA Wozniak, A Pantazi US Patent 11,080,592, 2021 | 6 | 2021 |
Time-encoded multiplication-free spiking neural networks: application to data classification tasks A Stanojevic, G Cherubini, S Woźniak, E Eleftheriou Neural Computing and Applications 35 (9), 7017-7033, 2023 | 5 | 2023 |