M. Porcelli

activity

20142026

most citedNumerical solution of a class of quasi-linear matrix equations

2 citations · 5 across the 17 of their papers we have counts for

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cs.LG2025

An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function

Nicolas Gillis, Margherita Porcelli, Giovanni Seraghiti

ReLU matrix decomposition (RMD) is the following problem: given a sparse, nonnegative matrix $X$ and a factorization rank $r$ , identify a rank- $r$ matrix $Θ$ such that $X\approx \m…

cs.LG2023

Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function

Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele +2

In this paper, we study the following nonlinear matrix decomposition (NMD) problem: given a sparse nonnegative matrix $X$ , find a low-rank matrix $Θ$ such that $X \approx f (Θ)$ , wh…