268 citations · 1.4k across the 80 of their papers we have counts for
90 papers
Spintronics for image recognition: performance benchmarking via data-driven simulations
Anatole Moureaux, Chloé Chopin, Simon de Wergifosse +2
We present a demonstration of image classification using an extreme learning machine (ELM) based on a unique simulated magnetic tunnel junction (MTJ) delayed in time. As the ground…
Grid Hopping: Accelerating Direct Estimation Algorithms for Multistatic FMCW Radar
Gilles Monnoyer, Thomas Feuillen, Maxime Drouguet +2
This paper presents a novel signal processing technique, coined grid hopping, as well as an active multistatic Frequency-Modulated Continuous Wave (FMCW) radar system designed to e…
Signal processing after quadratic random sketching with optical units
Rémi Delogne, Vincent Schellekens, Laurent Daudet +1
Random data sketching (or projection) is now a classical technique enabling, for instance, approximate numerical linear algebra and machine learning algorithms with reduced computa…
Interferometric single-pixel imaging with a multicore fiber
Olivier Leblanc, Matthias Hofer, Siddharth Sivankutty +2
Lensless illumination single-pixel imaging with a multicore fiber (MCF) is a computational imaging technique that enables potential endoscopic observations of biological samples at…
Interferometric lensless imaging: rank-one projections of image frequencies with speckle illuminations
Olivier Leblanc, Mathias Hofer, Siddharth Sivankutty +2
Lensless illumination single-pixel imaging with a multicore fiber (MCF) is a computational imaging technique that enables potential endoscopic observations of biological samples at…
Learning to Reconstruct Signals From Binary Measurements
Julián Tachella, Laurent Jacques
Recent advances in unsupervised learning have highlighted the possibility of learning to reconstruct signals from noisy and incomplete linear measurements alone. These methods play…