Hasil Pencarian - Sadique Sheik

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  1. 1
    Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networks

    Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networks oleh Yuhang Liu, Tingyu Liu, Yalun Hu, Wei Liao, Yannan Xing, Sadique Sheik, Sadique Sheik, Ning Qiao, Ning Qiao

    Diterbitkan 2024-01-01
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  2. 2
    EXODUS: Stable and efficient training of spiking neural networks

    EXODUS: Stable and efficient training of spiking neural networks oleh Felix C. Bauer, Gregor Lenz, Saeid Haghighatshoar, Sadique Sheik

    Diterbitkan 2023-02-01
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  3. 3
    Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications

    Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications oleh Martino Sorbaro, Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik

    Diterbitkan 2020-06-01
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  4. 4
    Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks

    Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks oleh Hesham Mostafa, Bruno Pedroni, Sadique Sheik, Gert Cauwenberghs, Gert Cauwenberghs, Gert Cauwenberghs

    Diterbitkan 2017-09-01
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  5. 5
    Adversarial attacks on spiking convolutional neural networks for event-based vision

    Adversarial attacks on spiking convolutional neural networks for event-based vision oleh Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro, Martino Sorbaro

    Diterbitkan 2022-12-01
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  6. 6
    Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity

    Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity oleh Bruno U. Pedroni, Siddharth Joshi, Stephen R. Deiss, Sadique Sheik, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre O. Neftci, Gert Cauwenberghs

    Diterbitkan 2019-04-01
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  7. 7
    Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning

    Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning oleh Georgios Detorakis, Sadique Sheik, Charles Augustine, Somnath Paul, Bruno U. Pedroni, Nikil Dutt, Nikil Dutt, Jeffrey Krichmar, Jeffrey Krichmar, Gert Cauwenberghs, Emre Neftci, Emre Neftci

    Diterbitkan 2018-08-01
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  8. 8
    Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing

    Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing oleh Jens E. Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan Richard Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Sadique Sheik, Jason K. Eshraghian

    Diterbitkan 2024-09-01
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  9. 9
    Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip

    Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip oleh Man Yao, Ole Richter, Guangshe Zhao, Ning Qiao, Yannan Xing, Dingheng Wang, Tianxiang Hu, Wei Fang, Tugba Demirci, Michele De Marchi, Lei Deng, Tianyi Yan, Carsten Nielsen, Sadique Sheik, Chenxi Wu, Yonghong Tian, Bo Xu, Guoqi Li

    Diterbitkan 2024-05-01
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