14 citations · 26 across the 12 of their papers we have counts for
3 papers · 1 filter
The dual approach to non-negative super-resolution: perturbation analysis and data fidelity
Stéphane Chrétien, Andrew Thompson, Bogdan Toader
We study the problem of super-resolution, where we recover the locations and weights of non-negative point sources from (potentially noisy) samples of their convolution with a Gaus…
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature
Stéphane Chrétien, Mihai Cucuringu, Guillaume Lecué +1
Many statistical learning problems have recently been shown to be amenable to Semi-Definite Programming (SDP), with community detection and clustering in Gaussian mixture models as…
Boolean learning under noise-perturbations in hardware neural networks
Louis Andreoli, Xavier Porte, Stéphane Chrétien +3
A high efficiency hardware integration of neural networks benefits from realizing nonlinearity, network connectivity and learning fully in a physical substrate. Multiple systems ha…