Hesham Mostafa
Cited by
Cited by
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
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
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
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization
H Mostafa, X Wang
International Conference on Machine Learning, 4646--4655, 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
Synaptic plasticity dynamics for deep continuous local learning (DECOLLE)
J Kaiser, H Mostafa, E Neftci
Frontiers in Neuroscience 14, 424, 2020
Deep supervised learning using local errors
H Mostafa, V Ramesh, G Cauwenberghs
Frontiers in neuroscience 12, 608, 2018
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
An event-based architecture for solving constraint satisfaction problems
H Mostafa, LK Müller, G Indiveri
Nature communications 6 (1), 8941, 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
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
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
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
Robust federated learning through representation matching and adaptive hyper-parameters
H Mostafa
arXiv preprint arXiv:1912.13075, 2019
Synaptic plasticity dynamics for deep continuous local learning
J Kaiser, H Mostafa, E Neftci
arXiv preprint arXiv:1811.10766, 2018
Towards foundation models for knowledge graph reasoning
M Galkin, X Yuan, H Mostafa, J Tang, Z Zhu
arXiv preprint arXiv:2310.04562, 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
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
Rhythmic inhibition allows neural networks to search for maximally consistent states
H Mostafa, LK Müller, G Indiveri
Neural computation 27 (12), 2510-2547, 2015
A hybrid analog/digital spike-timing dependent plasticity learning circuit for neuromorphic VLSI multi-neuron architectures
H Mostafa, F Corradi, F Stefanini, G Indiveri
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 854-857, 2014
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