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Lyes Khacef
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2020 – today
- 2024
- [c10]Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef:
Low-power event-based face detection with asynchronous neuromorphic hardware. IJCNN 2024: 1-10 - [i15]Matthew Yedutenko, Federico Paredes-Vallés, Lyes Khacef, Guido C. H. E. de Croon:
TDE-3: An improved prior for optical flow computation in spiking neural networks. CoRR abs/2402.11662 (2024) - 2023
- [j1]Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca:
Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits. Neuromorph. Comput. Eng. 3(4): 42001 (2023) - [c9]Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin:
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. IJCNN 2023: 1-7 - [i14]Fernando M. Quintana, Fernando Perez-Peña, Pedro L. Galindo, Emre O. Neftci, Elisabetta Chicca, Lyes Khacef:
ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware. CoRR abs/2301.08281 (2023) - [i13]Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin:
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. CoRR abs/2301.09962 (2023) - [i12]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i11]Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef:
Low-power event-based face detection with asynchronous neuromorphic hardware. CoRR abs/2312.14261 (2023) - 2022
- [i10]Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui:
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models. CoRR abs/2201.02262 (2022) - [i9]Simon F. Müller-Cleve, Vittorio Fra, Lyes Khacef, Alejandro Pequeño-Zurro, Daniel Klepatsch, Evelina Forno, Diego Gigena Ivanovich, Shavika Rastogi, Gianvito Urgese, Friedemann Zenke, Chiara Bartolozzi:
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware. CoRR abs/2205.15864 (2022) - [i8]Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca:
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits. CoRR abs/2209.15536 (2022) - [i7]Mohamed Sadek Bouanane, Dalila Cherifi, Elisabetta Chicca, Lyes Khacef:
Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition. CoRR abs/2211.07761 (2022) - 2021
- [i6]Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association. ERCIM News 2021(125) (2021) - 2020
- [b1]Lyes Khacef:
Exploration of brain-inspired computing with self-organizing neuromorphic architectures. (Exploration du calcul bio-inspiré avec des architectures neuromorphiques auto-organisées). University of Côte d'Azur, Nice, France, 2020 - [c8]Lyes Khacef, Vincent Gripon, Benoît Miramond:
GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. ICONIP (2) 2020: 404-416 - [c7]Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Improving Self-Organizing Maps with Unsupervised Feature Extraction. ICONIP (2) 2020: 474-486 - [i5]Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning. CoRR abs/2004.05488 (2020) - [i4]Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Improving Self-Organizing Maps with Unsupervised Feature Extraction. CoRR abs/2009.02174 (2020) - [i3]Lyes Khacef, Vincent Gripon, Benoît Miramond:
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning. CoRR abs/2009.03665 (2020)
2010 – 2019
- 2019
- [c6]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications. BioCAS 2019: 1 - [c5]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Sensor fusion using EMG and vision for hand gesture classification in mobile applications. BioCAS 2019: 1-4 - [c4]Lyes Khacef, Benoît Miramond, Diego Barrientos, Andres Upegui:
Self-organizing neurons: toward brain-inspired unsupervised learning. IJCNN 2019: 1-9 - [c3]Marino Rasamuel, Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Specialized visual sensor coupled to a dynamic neural field for embedded attentional process. SAS 2019: 1-6 - [i2]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Sensor fusion using EMG and vision for hand gesture classification in mobile applications. CoRR abs/1910.11126 (2019) - 2018
- [c2]Lyes Khacef, Nassim Abderrahmane, Benoît Miramond:
Confronting machine-learning with neuroscience for neuromorphic architectures design. IJCNN 2018: 1-8 - [c1]Laurent Rodriguez, Lyes Khacef, Benoît Miramond:
A distributed cellular approach of large scale SOM models for hardware implementation. IPAS 2018: 250-255 - [i1]Lyes Khacef, Bernard Girau, Nicolas P. Rougier, Andres Upegui, Benoît Miramond:
Neuromorphic hardware as a self-organizing computing system. CoRR abs/1810.12640 (2018)
Coauthor Index
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last updated on 2024-10-21 21:32 CEST by the dblp team
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