19 citations · 35 across the 11 of their papers we have counts for
4 papers · 1 filter
Deep Latent Factor Model for Collaborative Filtering
Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux +1
Latent factor models have been used widely in collaborative filtering based recommender systems. In recent years, deep learning has been successful in solving a wide variety of mac…
Transformed Subspace Clustering
Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux
Subspace clustering assumes that the data is sepa-rable into separate subspaces. Such a simple as-sumption, does not always hold. We assume that, even if the raw data is not separa…
General risk measures for robust machine learning
Emilie Chouzenoux, Henri Gérard, Jean-Christophe Pesquet
A wide array of machine learning problems are formulated as the minimization of the expectation of a convex loss function on some parameter space. Since the probability distributio…
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version
Corbineau Marie-Caroline, Kouamé Denis, Chouzenoux Emilie +2
Joint deconvolution and segmentation of ultrasound images is a challenging problem in medical imaging. By adopting a hierarchical Bayesian model, we propose an accelerated Markov c…