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Ana Stanojevic
Ana Stanojevic
École Polytechnique Fédérale de Lausanne, IBM Research Zürich
Verified email at zurich.ibm.com
Title
Cited by
Cited by
Year
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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