10 citations · 10 across the 4 of their papers we have counts for
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cs.NE2026
Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition
Valentin M. Meunier, Amélie Gruel, Pierre Lewden +2
Obtaining data from neuromorphic sensors and processing it with Spiking Neural Networks is a promising solution to lower the energy cost of artificial intelligence. The current rar…
cs.NE2026
Line-based Event Preprocessing: Towards Low-Energy Neuromorphic Computer Vision
Amélie Gruel, Pierre Lewden, Adrien F. Vincent +1
Neuromorphic vision made significant progress in recent years, thanks to the natural match between spiking neural networks and event data in terms of biological inspiration, energy…