1 citations · 1 across the 2 of their papers we have counts for
2 papers
nlin.AO2024
Generalization emerges from local optimization in a self-organized learning network
S. Barland, L. Gil
We design and analyze a new paradigm for building supervised learning networks, driven only by local optimization rules without relying on a global error function. Traditional neur…
physics.ins-det2024★ 1 cited
Integrating embedded neural networks and self-mixing interferometry for smart sensors design
Pierre-Emmanuel Novac, Laurent Rodriguez, Stéphane Barland
Self-mixing interferometry is a measurement approach in which a laser beam is re-injected into the emitting laser itself after reflection on a target. Information about the positio…