153 citations · 628 across the 41 of their papers we have counts for
48 papers
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…
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…
Solution of Mismatched Monotone+Lipschitz Inclusion Problems
Emilie Chouzenoux, Jean-Christophe Pesquet, Fernando Roldán
In this article, we study the convergence of algorithms for solving monotone inclusions in the presence of adjoint mismatch. The adjoint mismatch arises when the adjoint of a linea…
Aggregated f-average Neural Network applied to Few-Shot Class Incremental Learning
Mathieu Vu, Emilie Chouzenoux, Ismail Ben Ayed +1
Ensemble learning leverages multiple models (i.e., weak learners) on a common machine learning task to enhance prediction performance. Basic ensembling approaches average the weak…
Majorization-Minimization for sparse SVMs
Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini +5
Several decades ago, Support Vector Machines (SVMs) were introduced for performing binary classification tasks, under a supervised framework. Nowadays, they often outperform other…
A new non-convex framework to improve asymptotical knowledge on generic stochastic gradient descent
Jean-Baptiste Fest, Audrey Repetti, Emilie Chouzenoux
Stochastic gradient optimization methods are broadly used to minimize non-convex smooth objective functions, for instance when training deep neural networks. However, theoretical g…