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

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Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence von Abderrahmane, Nassim, Lemaire, Edgar, Miramond, Benoît

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

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

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

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

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GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning von Khacef, Lyes, Gripon, Vincent, Miramond, Benoît

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

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Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems von Lemaire, Edgar, Miramond, Benoît, Bilavarn, Sébastien, Saoud, Hadi, Abderrahmane, Nassim

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

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Semi-Decentralized Prediction Method for Energy-Efficient Wireless Sensor Networks von Abdoulaye, Imourane, Belleudy, Cecile, Rodriguez, Laurent, Miramond, Benoit

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Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized Maps von Russo, Adrien, Verdier, François, Miramond, Benoît

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Embedded and real-time architecture for bio-inspired vision-based robot navigation von Fiack, Laurent, Cuperlier, Nicolas, Miramond, Benoît

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Toward a Sparse Self-Organizing Map for Neuromorphic Architectures von Rodriguez, Laurent, Miramond, Benoît, Granado, Bertrand

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An Analytical Estimation of Spiking Neural Networks Energy Efficiency von Lemaire, Edgar, Cordone, Loïc, Castagnetti, Andrea, Novac, Pierre-Emmanuel, Courtois, Jonathan, Miramond, Benoît

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Improving Self-Organizing Maps with Unsupervised Feature Extraction von Khacef, Lyes, Rodriguez, Laurent, Miramond, Benoît

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OveRSoC: A Framework for the Exploration of RTOS for RSoC Platforms von Miramond, Benoît, Huck, Emmanuel, Verdier, François, Benkhelifa, Amine, Granado, Bertrand, Lefebvre, Thomas, Aïchouch, Mehdi, Prevotet, Jean Christophe, Oliva, Yaset, Chillet, Daniel, Pillement, Sébastien

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Shape and orientation classification of objects based on their electromagnetic signatures using convolutional neural networks von Zaky, Yasmina, Fortino, Nicolas, Miramond, Benoit, Dauvignac, Jean-Yves

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Spiking monocular event based 6D pose estimation for space application von Courtois, Jonathan, Miramond, Benoît, Pegatoquet, Alain

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Efficiency analysis of artificial vs. Spiking Neural Networks on FPGAs von Li, Zhuoer, Lemaire, Edgar, Abderrahmane, Nassim, Bilavarn, Sébastien, Miramond, Benoit

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