Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spiking neural networks EO Neftci, H Mostafa, F Zenke IEEE Signal Processing Magazine 36 (6), 51-63, 2019 | 1279 | 2019 |
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses N Qiao, H Mostafa, F Corradi, M Osswald, F Stefanini, D Sumislawska, ... Frontiers in neuroscience 9, 141, 2015 | 744 | 2015 |
Supervised learning based on temporal coding in spiking neural networks H Mostafa IEEE transactions on neural networks and learning systems 29 (7), 3227-3235, 2017 | 442 | 2017 |
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization H Mostafa, X Wang International Conference on Machine Learning, 4646--4655, 2019 | 367 | 2019 |
NullHop: A flexible convolutional neural network accelerator based on sparse representations of feature maps A Aimar, H Mostafa, E Calabrese, A Rios-Navarro, R Tapiador-Morales, ... IEEE transactions on neural networks and learning systems 30 (3), 644-656, 2018 | 320 | 2018 |
Synaptic plasticity dynamics for deep continuous local learning (DECOLLE) J Kaiser, H Mostafa, E Neftci Frontiers in Neuroscience 14, 424, 2020 | 288 | 2020 |
Memristor for computing: Myth or reality? S Hamdioui, S Kvatinsky, G Cauwenberghs, L Xie, N Wald, S Joshi, ... Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 142 | 2017 |
Deep supervised learning using local errors H Mostafa, V Ramesh, G Cauwenberghs Frontiers in neuroscience 12, 608, 2018 | 141 | 2018 |
An event-based architecture for solving constraint satisfaction problems H Mostafa, LK Müller, G Indiveri Nature communications 6 (1), 8941, 2015 | 65 | 2015 |
Fast classification using sparsely active spiking networks H Mostafa, BU Pedroni, S Sheik, G Cauwenberghs 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 64 | 2017 |
Implementation of a spike-based perceptron learning rule using TiO2−x memristors H Mostafa, A Khiat, A Serb, CG Mayr, G Indiveri, T Prodromakis Frontiers in neuroscience 9, 357, 2015 | 53 | 2015 |
Cloning of Escherichia coli lacZ and lacY Genes and Their Expression in Gluconobacter oxydans and Acetobacter liquefaciens HE Mostafa, KJ Heller, A Geis Applied and environmental microbiology 68 (5), 2619-2623, 2002 | 47 | 2002 |
Spike-driven threshold-based learning with memristive synapses and neuromorphic silicon neurons E Covi, R George, J Frascaroli, S Brivio, C Mayr, H Mostafa, G Indiveri, ... Journal of Physics D: Applied Physics 51 (34), 344003, 2018 | 36 | 2018 |
Robust federated learning through representation matching and adaptive hyper-parameters H Mostafa arXiv preprint arXiv:1912.13075, 2019 | 34 | 2019 |
Synaptic plasticity dynamics for deep continuous local learning J Kaiser, H Mostafa, E Neftci arXiv preprint arXiv:1811.10766, 2018 | 30 | 2018 |
Towards foundation models for knowledge graph reasoning M Galkin, X Yuan, H Mostafa, J Tang, Z Zhu arXiv preprint arXiv:2310.04562, 2023 | 27 | 2023 |
Sequential aggregation and rematerialization: Distributed full-batch training of graph neural networks on large graphs H Mostafa Proceedings of Machine Learning and Systems 4, 265-275, 2022 | 23 | 2022 |
Beyond spike-timing dependent plasticity in memristor crossbar arrays H Mostafa, C Mayr, G Indiveri 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 926-929, 2016 | 22 | 2016 |
Rhythmic inhibition allows neural networks to search for maximally consistent states H Mostafa, LK Müller, G Indiveri Neural computation 27 (12), 2510-2547, 2015 | 20 | 2015 |
Exploiting long-term dependencies for generating dynamic scene graphs S Feng, H Mostafa, M Nassar, S Majumdar, S Tripathi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 17 | 2023 |