Lyes Khacef

34 papers B 6C 1Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor.
CoRR
Lyes Khacef, Philipp Weidel, Susumu Hogyoku, Harry Liu, Claire Alexandra Bräuer, Shunsuke Koshino, Takeshi Oyakawa, Vincent Parret, Yoshitaka Miyatani, Mike Davies, Mathis Richter
2025 B conf
RGB-Event Fusion with Self-Attention for Collision Prediction.
IJCNN
Pietro Bonazzi, Christian Vogt, Michael Jost, Haotong Qin, Lyes Khacef, Federico Paredes-Vallés, Michele Magno
2025 J jnl
RGB-Event Fusion with Self-Attention for Collision Prediction.
CoRR
Pietro Bonazzi, Christian Vogt, Michael Jost, Haotong Qin, Lyes Khacef, Federico Paredes-Vallés, Michele Magno
2025 — conf
Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone.
CVPR Workshops
Pietro Bonazzi, Christian Vogt, Michael Jost, Lyes Khacef, Federico Paredes-Vallés, Michele Magno
2025 J jnl
Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone.
CoRR
Pietro Bonazzi, Christian Vogt, Michael Jost, Lyes Khacef, Federico Paredes-Vallés, Michele Magno
2025 J jnl
Towards efficient keyword spotting using spike-based time difference encoders.
CoRR
Alejandro Pequeño-Zurro, Lyes Khacef, Stefano Panzeri, Elisabetta Chicca
2024 J jnl
ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware.
Neuromorph. Comput. Eng.
Fernando M. Quintana, Fernando Perez-Peña, Pedro L. Galindo, Emre O. Neftci, Elisabetta Chicca, Lyes Khacef
2024 B conf
Low-power event-based face detection with asynchronous neuromorphic hardware.
IJCNN
Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef
2024 J jnl
TDE-3: An improved prior for optical flow computation in spiking neural networks.
CoRR
Matthew Yedutenko, Federico Paredes-Vallés, Lyes Khacef, Guido C. H. E. de Croon
2023 B conf
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons.
IJCNN
Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin
2023 J jnl
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons.
CoRR
Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin
2023 J jnl
ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware.
CoRR
Fernando M. Quintana, Fernando Perez-Peña, Pedro L. Galindo, Emre O. Neftci, Elisabetta Chicca, Lyes Khacef
2023 J jnl
Low-power event-based face detection with asynchronous neuromorphic hardware.
CoRR
Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef
2023 J jnl
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR
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, P. 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
2023 J jnl
Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits.
Neuromorph. Comput. Eng.
Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca
2022 J jnl
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models.
CoRR
Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui
2022 J jnl
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware.
CoRR
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
2022 J jnl
Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition.
CoRR
Mohamed Sadek Bouanane, Dalila Cherifi, Elisabetta Chicca, Lyes Khacef
2022 J jnl
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits.
CoRR
Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca
2021 J jnl
Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association.
ERCIM News
Lyes Khacef, Laurent Rodriguez, Benoît Miramond
2020 J jnl
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning.
CoRR
Lyes Khacef, Laurent Rodriguez, Benoît Miramond
2020 — —
Exploration of brain-inspired computing with self-organizing neuromorphic architectures. (Exploration du calcul bio-inspiré avec des architectures neuromorphiques auto-organisées).
Lyes Khacef
2020 — conf
GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning.
ICONIP (2)
Lyes Khacef, Vincent Gripon, Benoît Miramond
2020 J jnl
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning.
CoRR
Lyes Khacef, Vincent Gripon, Benoît Miramond
2020 — conf
Improving Self-Organizing Maps with Unsupervised Feature Extraction.
ICONIP (2)
Lyes Khacef, Laurent Rodriguez, Benoît Miramond
2020 J jnl
Improving Self-Organizing Maps with Unsupervised Feature Extraction.
CoRR
Lyes Khacef, Laurent Rodriguez, Benoît Miramond
2019 — conf
Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications.
BioCAS
Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati
2019 B conf
Self-organizing neurons: toward brain-inspired unsupervised learning.
IJCNN
Lyes Khacef, Benoît Miramond, Diego Barrientos, Andres Upegui
2019 — conf
Sensor fusion using EMG and vision for hand gesture classification in mobile applications.
BioCAS
Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati
2019 J jnl
Sensor fusion using EMG and vision for hand gesture classification in mobile applications.
CoRR
Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati
2019 B conf
Specialized visual sensor coupled to a dynamic neural field for embedded attentional process.
SAS
Marino Rasamuel, Lyes Khacef, Laurent Rodriguez, Benoît Miramond
2018 C conf
A distributed cellular approach of large scale SOM models for hardware implementation.
IPAS
Laurent Rodriguez, Lyes Khacef, Benoît Miramond
2018 B conf
Confronting machine-learning with neuroscience for neuromorphic architectures design.
IJCNN
Lyes Khacef, Nassim Abderrahmane, Benoît Miramond
2018 J jnl
Neuromorphic hardware as a self-organizing computing system.
CoRR
Lyes Khacef, Bernard Girau, Nicolas P. Rougier, Andres Upegui, Benoît Miramond