1 code implementation • 23 Feb 2024 • Hugo Koubbi, Matthieu Boussard, Louis Hernandez
In this paper, we employ the mathematical framework on Transformers developed by \citet{sander2022sinkformers, geshkovski2023emergence, geshkovski2023mathematical} to explore how variations in attention parameters and initial token values impact the structural dynamics of token clusters.
no code implementations • 21 Dec 2023 • Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard
Pufferfish privacy is a flexible generalization of differential privacy that allows to model arbitrary secrets and adversary's prior knowledge about the data.
no code implementations • ICLR 2019 • Tom Puech, Matthieu Boussard
This paper presents a method to autonomously find periodicities in a signal.
no code implementations • 25 Jan 2018 • Antonin Leroux, Matthieu Boussard, Remi Dès
Decision trees algorithms use a gain function to select the best split during the tree's induction.