1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2024★ 1 cited
Cartan moving frames and the data manifolds
Eliot Tron, Rita Fioresi, Nicolas Couellan +1
The purpose of this paper is to employ the language of Cartan moving frames to study the geometry of the data manifolds and its Riemannian structure, via the data information metri…
stat.ML2022
Adversarial attacks on neural networks through canonical Riemannian foliations
Eliot Tron, Nicolas Couellan, Stéphane Puechmorel
Deep learning models are known to be vulnerable to adversarial attacks. Adversarial learning is therefore becoming a crucial task. We propose a new vision on neural network robustn…