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ORCIDSaeed Reza Kheradpisheh
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2020 – today
- 2025
[i16]Mahdi Movahedian Moghaddam, Kourosh Parand, Saeed Reza Kheradpisheh:
Advanced Physics-Informed Neural Network with Residuals for Solving Complex Integral Equations. CoRR abs/2501.16370 (2025)- 2024
- [j15]Arsham Gholamzadeh Khoee
, Alireza Javaheri, Saeed Reza Kheradpisheh, Mohammad Ganjtabesh:
Meta-learning in spiking neural networks with reward-modulated STDP. Neurocomputing 600: 128173 (2024) - [c2]Mohammadnavid Ghader, Saeed Reza Kheradpisheh, Bahareh J. Farahani, Mahmood Fazlali:
Enabling Privacy-Preserving Edge AI: Federated Learning Enhanced with Forward-Forward Algorithm. COINS 2024: 1-7 - 2023
- [j14]Mohsen Pirizadeh, Hadi Farahani, Saeed Reza Kheradpisheh:
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems. Knowl. Inf. Syst. 65(10): 4157-4183 (2023) - [j13]Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier:
Spike time displacement-based error backpropagation in convolutional spiking neural networks. Neural Comput. Appl. 35(21): 15891-15906 (2023) - [i15]Arsham Gholamzadeh Khoee, Alireza Javaheri, Saeed Reza Kheradpisheh, Mohammad Ganjtabesh:
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP. CoRR abs/2306.04410 (2023) - [i14]Neda Rahimpour Anaraki, Alireza Azadbakht, Maryam Tahmasbi, Hadi Farahani, Saeed Reza Kheradpisheh, Alireza Javaheri:
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN. CoRR abs/2309.16708 (2023) - 2022
- [j12]Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
Spiking Neural Networks Trained via Proxy. IEEE Access 10: 70769-70778 (2022) - [j11]Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. Neural Process. Lett. 54(2): 1255-1273 (2022) - [c1]Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri, Saeed Reza Kheradpisheh:
BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks. LOD (2) 2022: 564-578 - [i13]Alireza Azadbakht, Saeed Reza Kheradpisheh, Ismail Khalfaoui Hassani, Timothée Masquelier:
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing. CoRR abs/2210.14151 (2022) - 2021
- [j10]Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier:
STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks. Neurocomputing 427: 131-140 (2021) - [i12]Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier:
Spike time displacement based error backpropagation in convolutional spiking neural networks. CoRR abs/2108.13621 (2021) - [i11]Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri, Saeed Reza Kheradpisheh:
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks. CoRR abs/2109.05539 (2021) - [i10]Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
Spiking neural networks trained via proxy. CoRR abs/2109.13208 (2021) - 2020
- [j9]Saeed Reza Kheradpisheh, Timothée Masquelier:
Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. Int. J. Neural Syst. 30(6): 2050027:1-2050027:16 (2020) - [i9]Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. CoRR abs/2007.04039 (2020)
2010 – 2019
- 2019
- [j8]Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida:
Deep learning in spiking neural networks. Neural Networks 111: 47-63 (2019) - [i8]Saeed Reza Kheradpisheh, Timothée Masquelier:
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron. CoRR abs/1910.09495 (2019) - 2018
- [j7]Timothée Masquelier, Saeed Reza Kheradpisheh:
Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers Comput. Neurosci. 12: 74 (2018) - [j6]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier:
STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks 99: 56-67 (2018) - [j5]Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh:
First-Spike-Based Visual Categorization Using Reward-Modulated STDP. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6178-6190 (2018) - [i7]Timothée Masquelier, Saeed Reza Kheradpisheh:
Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection. CoRR abs/1803.00447 (2018) - [i6]Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony S. Maida:
Deep Learning in Spiking Neural Networks. CoRR abs/1804.08150 (2018) - 2017
- [i5]Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh:
First-spike based visual categorization using reward-modulated STDP. CoRR abs/1705.09132 (2017) - 2016
- [j4]Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier:
Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers Comput. Neurosci. 10: 92 (2016) - [j3]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier:
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition. Neurocomputing 205: 382-392 (2016) - [i4]Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier:
Humans and deep networks largely agree on which kinds of variation make object recognition harder. CoRR abs/1604.06486 (2016) - [i3]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier:
STDP-based spiking deep neural networks for object recognition. CoRR abs/1611.01421 (2016) - 2015
- [i2]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier:
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition. CoRR abs/1504.03871 (2015) - [i1]Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier:
Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition. CoRR abs/1508.03929 (2015) - 2014
- [j2]Saeed Reza Kheradpisheh, Fatemeh Sharifizadeh, Abbas Nowzari-Dalini, Mohammad Ganjtabesh, Reza Ebrahimpour:
Mixture of feature specified experts. Inf. Fusion 20: 242-251 (2014) - 2013
- [j1]Saeed Reza Kheradpisheh, Fatemeh Behjati-Ardakani, Reza Ebrahimpour:
Combining classifiers using nearest decision prototypes. Appl. Soft Comput. 13(12): 4570-4578 (2013)
Coauthor Index
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