Stanislaw Wozniak
Stanislaw Wozniak
IBM Research - Zurich / EPFL
Verified email at zurich.ibm.com - Homepage
Title
Cited by
Cited by
Year
All-memristive neuromorphic computing with level-tuned neurons
A Pantazi, S Woźniak, T Tuma, E Eleftheriou
Nanotechnology 27 (35), 355205, 2016
962016
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
672016
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
46*2020
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
202016
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
152017
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
72015
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
62018
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
62017
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
62017
Online spatio-temporal learning in deep neural networks
T Bohnstingl, S Woźniak, W Maass, A Pantazi, E Eleftheriou
arXiv preprint arXiv:2007.12723, 2020
42020
Neuromorphic architecture for feature learning using a spiking neural network
SA Wozniak, A Pantazi
US Patent 11,080,592, 2021
22021
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
22017
Neuromorphic architecture with multiple coupled neurons using internal state neuron information
A Pantazi, T Tuma, S Wozniak
US Patent 10,755,167, 2020
12020
Neuromorphic architecture for unsupervised pattern detection and feature learning
A Pantazi, SA Wozniak
US Patent 10,650,307, 2020
12020
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
2021
Learning in Deep Neural Networks Using a Biologically Inspired Optimizer
G Dellaferrera, S Wozniak, G Indiveri, A Pantazi, E Eleftheriou
arXiv preprint arXiv:2104.11604, 2021
2021
Neuromorphic spike integrator apparatus
SA Wozniak, A Pantazi
US Patent App. 16/565,852, 2021
2021
Adaptive neuromorphic neuron apparatus for artificial neural networks
SA Wozniak, A Pantazi
US Patent App. 16/556,706, 2021
2021
SPIKING SYNAPTIC ELEMENTS FOR SPIKING NEURAL NETWORKS
A Pantazi, SA Wozniak, S Abel, J Fompeyrine
US Patent App. 16/360,158, 2020
2020
Neuromorphic Neuron Apparatus For Artificial Neural Networks
S Wozniak, A Pantazi
US Patent App. 16/295,007, 2020
2020
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Articles 1–20