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Ana Stanojevic
Ana Stanojevic
École Polytechnique Fédérale de Lausanne, IBM Research Zürich
Geverifieerd e-mailadres voor zurich.ibm.com
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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
122023
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
72022
File classification based on spiking neural networks
A Stanojevic, G Cherubini, T Moraitis, A Sebastian
2020 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2020
62020
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
32023
Design of time-encoded spiking neural networks in 7nm CMOS technology
S Widmer, M Kossel, G Cherubini, S Woźniak, PA Francese, A Stanojevic, ...
IEEE Transactions on Circuits and Systems II: Express Briefs, 2023
32023
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
32023
Correlative time coding method for spiking neural networks
G Cherubini, A Stanojevic, A Sebastian
US Patent 11,403,514, 2022
12022
Corrigendum to'An exact mapping from ReLU networks to spiking neural networks'[Neural Networks Volume 168 (2023) Pages 74-88]
A Stanojevic, S Woźniak, G Bellec, G Cherubini, A Pantazi, W Gerstner
Neural networks: the official journal of the International Neural Network …, 2023
2023
Supervised learning and inference of spiking neural networks with temporal coding
A Stanojevic
EPFL, 2023
2023
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