2 papers
eess.SP2026
Majorization-Minimization Networks for Inverse Problems: An Application to EEG Imaging
Le Minh Triet Tran, Sarah Reynaud, Ronan Fablet +3
Inverse problems are often ill-posed and require optimization schemes with strong stability and convergence guarantees. While learning-based approaches such as deep unrolling and m…
math.OC2025
A Second-Order Majorant Algorithm for Nonnegative Matrix Factorization
Mai-Quyen Pham, Jérémy Cohen, Thierry Chonavel
Nonnegative Matrix Factorization (NMF) is a fundamental tool in unsupervised learning, widely used for tasks such as dimensionality reduction, feature extraction, representation le…