no code implementations • 30 Nov 2023 • Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
In this paper, we introduce an explainable algorithm designed from a multi-modal foundation model, that performs fast and explainable image classification.
no code implementations • 9 Oct 2023 • David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse
We identify the ratio between the number of parameters and the number of visited states as a crucial factor and define over-parameterization as the regime when it is larger than one.
no code implementations • 11 Jul 2019 • Eloïse Berthier, Sai Praneeth Karimireddy
Differential privacy is a useful tool to build machine learning models which do not release too much information about the training data.