3 papers
cs.NE2025
All in one timestep: Enhancing Sparsity and Energy efficiency in Multi-level Spiking Neural Networks
Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond
Spiking Neural Networks (SNNs) are one of the most promising bio-inspired neural networks models and have drawn increasing attention in recent years. The event-driven communication…
cs.CV2025
Spiking monocular event based 6D pose estimation for space application
Jonathan Courtois, Benoît Miramond, Alain Pegatoquet
With the growing interest in on On-orbit servicing (OOS) and Active Debris Removal (ADR) missions, spacecraft poses estimation algorithms are being developed using deep learning to…
cs.CV2024
On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks
Thomas Louis, Benoit Miramond, Alain Pegatoquet +1
Interest in spiking neural networks (SNNs) has been growing steadily, promising an energy-efficient alternative to formal neural networks (FNNs), commonly known as artificial neura…