208 citations · 1.7k across the 69 of their papers we have counts for
7 papers · 1 filter
Stability Bounds for the Unfolded Forward-Backward Algorithm
Emilie Chouzenoux, Cecile Della Valle, Jean-Christophe Pesquet
We consider a neural network architecture designed to solve inverse problems where the degradation operator is linear and known. This architecture is constructed by unrolling a for…
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Long Zhou, Fereshteh Shakeri, Aymen Sadraoui +3
Transductive few-shot learning has recently triggered wide attention in computer vision. Yet, current methods introduce key hyper-parameters, which control the prediction statistic…
An Effective Iterative Solution for Independent Vector Analysis with Convergence Guarantees
Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux +2
Independent vector analysis (IVA) is an attractive solution to address the problem of joint blind source separation (JBSS), that is, the simultaneous extraction of latent sources f…
Outer Approximation Scheme for Weakly Convex Constrained Optimization Problems
Ewa M. Bednarczuk, Giovanni Bruccola, Jean-Christophe Pesquet +1
Outer approximation methods have long been employed to tackle a variety of optimization problems, including linear programming, in the 1960s, and continue to be effective for solvi…
Transductive Zero-Shot and Few-Shot CLIP
Ségolène Martin, Yunshi Huang, Fereshteh Shakeri +2
Transductive inference has been widely investigated in few-shot image classification, but completely overlooked in the recent, fast growing literature on adapting vision-langage mo…
Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning
Aurélie Beaufrère, Nora Ouzir, Paul Emile Zafar +8
The diagnosis of primary liver cancers (PLCs) can be challenging, especially on biopsies and for combined hepatocellular-cholangiocarcinoma (cHCC-CCA). We automatically classified…