activity
20122026
most citedHuman action recognition with a large-scale brain-inspired photonic computer

179 citations · 691 across the 16 of their papers we have counts for

collaborators

18 papers

cs.NE2026

Massively Parallel Reinforcement Learning with a Chaotic Reconfigurable Clockless Chip

Eric Oliveira-Gomes, Damien Rontani

Hardware accelerators based on physical dynamical systems offer an attractive route toward energy-efficient reinforcement learning applications. However, their scalability is chall…

cond-mat.mes-hall2026

Hyperchaos in a Magnetic Nanodisk Driven by Ferromagnetic Resonance

A Kolli, Hugo Merbouche, Salvatore Perna +3

We investigate the chaotic dynamics driven in the nonlinear regime of ferromagnetic resonance of an out-of-plane magnetized nanodisk in detail. By combining extensive micromagnetic…

physics.optics2024★ 7 cited

Chaos from a free-running broad-area VCSEL

Jules Mercadier, Stefan Bittner, Damien Rontani +1

We experimentally report on the detection of chaos from a free-running commercial broad-area VCSEL without the need for external perturbation such as optical feedback, injection or…

physics.optics2024★ 7 cited

High-resolution dynamic consistency analysis of photonic time-delay reservoir computer

Lucas Oliverio, Damien Rontani, Marc Sciamanna

We numerically investigate a time-delayed reservoir computer architecture based on a single mode laser diode with optical injection and optical feedback. Through a high-resolution…

cond-mat.mes-hall2020★ 2 cited

Nanocontact vortex oscillators based on CoMnGe pseudo-spin valves

Jérémy Létang, Claudia de Melo, Charles Guillemard +9

We present an experimental study of vortex dynamics in magnetic nanocontacts based on pseudo spin valves comprising the CoMnGe Heusler compound. The films were grown by molecul…

cs.NE2020★ 179 cited

Human action recognition with a large-scale brain-inspired photonic computer

Piotr Antonik, Nicolas Marsal, Daniel Brunner +1

The recognition of human actions in video streams is a challenging task in computer vision, with cardinal applications in e.g. brain-computer interface and surveillance. Deep learn…