A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks. - El Mehdi Achour; Armand Foucault; Sébastien Gerchinovitz; François Malgouyres (NeurIPS, 2022)

A general approximation lower bound in Lp norm, with applications to feed-forward neural networks. - El Mehdi Achour; Armand Foucault; Sébastien Gerchinovitz; François Malgouyres (CoRR, 2022)

Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks. - El Mehdi Achour; François Malgouyres; Franck Mamalet (J. Mach. Learn. Res., 2022)

Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? - Francesco Innocenti; El Mehdi Achour; Ryan Singh; Christopher L. Buckley (NeurIPS, 2024)

The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis. - El Mehdi Achour; François Malgouyres; Sébastien Gerchinovitz (J. Mach. Learn. Res., 2024)

μPC: Scaling Predictive Coding to 100+ Layer Networks. - Francesco Innocenti; El Mehdi Achour; Christopher L. Buckley (CoRR, 2025)

The Riemannian Geometry associated to Gradient Flows of Linear Convolutional Networks. - El Mehdi Achour; Kathlén Kohn; Holger Rauhut (CoRR, 2025)