Lyes Khacef

According to our database, Lyes Khacef authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

TDE-3: An improved prior for optical flow computation in spiking neural networks.

Matthew Yedutenko, Federico Paredes-Vallés, Lyes Khacef, Guido C. H. E. de Croon

CoRR, 2024

2023

Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits.

Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca

Neuromorph. Comput. Eng., December, 2023

Low-power event-based face detection with asynchronous neuromorphic hardware.

Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef

CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

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

CoRR, 2023

ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware.

Fernando M. Quintana, Fernando Perez-Peña, Pedro L. Galindo, Emre O. Neftci, Elisabetta Chicca, Lyes Khacef

CoRR, 2023

A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons.

Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition.

Mohamed Sadek Bouanane, Dalila Cherifi, Elisabetta Chicca, Lyes Khacef

CoRR, 2022

Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware.

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

CoRR, 2022

A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models.

Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui

CoRR, 2022

2021

Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association.

Lyes Khacef, Laurent Rodriguez, Benoît Miramond

ERCIM News, 2021

2020

Exploration of brain-inspired computing with self-organizing neuromorphic architectures. (Exploration du calcul bio-inspiré avec des architectures neuromorphiques auto-organisées).

Lyes Khacef

PhD thesis, 2020

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning.

Lyes Khacef, Laurent Rodriguez, Benoît Miramond

CoRR, 2020

Improving Self-Organizing Maps with Unsupervised Feature Extraction.

Lyes Khacef, Laurent Rodriguez, Benoît Miramond

Proceedings of the Neural Information Processing - 27th International Conference, 2020

GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning.

Lyes Khacef, Vincent Gripon, Benoît Miramond

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Specialized visual sensor coupled to a dynamic neural field for embedded attentional process.

Marino Rasamuel, Lyes Khacef, Laurent Rodriguez, Benoît Miramond

Proceedings of the IEEE Sensors Applications Symposium, 2019

Self-organizing neurons: toward brain-inspired unsupervised learning.

Lyes Khacef, Benoît Miramond, Diego Barrientos, Andres Upegui

Proceedings of the International Joint Conference on Neural Networks, 2019

Sensor fusion using EMG and vision for hand gesture classification in mobile applications.

Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications.

Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018

Neuromorphic hardware as a self-organizing computing system.

Lyes Khacef, Bernard Girau, Nicolas P. Rougier, Andres Upegui, Benoît Miramond

CoRR, 2018

A distributed cellular approach of large scale SOM models for hardware implementation.

Laurent Rodriguez, Lyes Khacef, Benoît Miramond

Proceedings of the IEEE International Conference on Image Processing, 2018

Confronting machine-learning with neuroscience for neuromorphic architectures design.

Lyes Khacef, Nassim Abderrahmane, Benoît Miramond

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018