21 citations · 47 across the 16 of their papers we have counts for
4 papers · 1 filter
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier, Francesco Camilli, Justin Ko +1
Matrix denoising is central to signal processing and machine learning. Its statistical analysis when the matrix to infer has a factorised structure with a rank growing proportional…
The Decimation Scheme for Symmetric Matrix Factorization
Francesco Camilli, Marc Mézard
Matrix factorization is an inference problem that has acquired importance due to its vast range of applications that go from dictionary learning to recommendation systems and machi…
Matrix factorization with neural networks
Francesco Camilli, Marc Mézard
Matrix factorization is an important mathematical problem encountered in the context of dictionary learning, recommendation systems and machine learning. We introduce a new `decima…
An inference problem in a mismatched setting: a spin-glass model with Mattis interaction
Francesco Camilli, Pierluigi Contucci, Emanuele Mingione
The Wigner spiked model in a mismatched setting is studied with the finite temperature Statistical Mechanics approach through its representation as a Sherrington-Kirkpatrick model…