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Stanislaw Wozniak
Stanislaw Wozniak
IBM Research - Zurich / EPFL
Verified email at zurich.ibm.com - Homepage
Title
Cited by
Cited by
Year
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
175*2020
All-memristive neuromorphic computing with level-tuned neurons
A Pantazi, S Woźniak, T Tuma, E Eleftheriou
Nanotechnology 27 (35), 355205, 2016
1362016
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
992016
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
452022
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
232017
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
232016
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
212022
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
192022
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
122022
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
102017
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
82022
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
82021
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
72023
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
72018
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
72017
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
72015
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
62023
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
52022
Neuromorphic architecture for feature learning using a spiking neural network
SA Wozniak, A Pantazi
US Patent 11,080,592, 2021
52021
Are training trajectories of deep single-spike and deep ReLU network equivalent?
A Stanojevic, S Woźniak, G Bellec, G Cherubini, A Pantazi, W Gerstner
arXiv preprint arXiv:2306.08744, 2023
42023
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