Matthieu Cordonnier

According to our database, Matthieu Cordonnier authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry.

Akiyoshi Sannai, Yuuki Takai, Matthieu Cordonnier

Trans. Mach. Learn. Res., 2024

Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs.

Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter

J. Mach. Learn. Res., 2024

Seeking Universal Approximation for Continuous Limits of Graph Neural Networks on Large Random Graphs.

Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter

Proceedings of the 58th Asilomar Conference on Signals, 2024

2021

On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity.

Yuuki Takai, Akiyoshi Sannai, Matthieu Cordonnier

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Universal approximations of permutation invariant/equivariant functions by deep neural networks.

Akiyoshi Sannai, Yuuki Takai, Matthieu Cordonnier

CoRR, 2019