SPIDEN: deep Spiking Neural Networks for efficient image denoising by Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond

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Trainable quantization for Speedy Spiking Neural Networks by Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond

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Brain-Inspired Self-Organization with Cellular Neuromorphic Computing for Multimodal Unsupervised Learning by Lyes Khacef, Laurent Rodriguez, Benoît Miramond

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Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks by Yann Cherdo, Benoit Miramond, Alain Pegatoquet, Alain Vallauri

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UCA-EHAR: A Dataset for Human Activity Recognition with Embedded AI on Smart Glasses by Pierre-Emmanuel Novac, Alain Pegatoquet, Benoît Miramond, Christophe Caquineau

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Quantization and Deployment of Deep Neural Networks on Microcontrollers by Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon

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A Unified Software/Hardware Scalable Architecture for Brain-Inspired Computing Based on Self-Organizing Neural Models by Artem R. Muliukov, Laurent Rodriguez, Benoit Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui

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