Universal approximations of permutation invariant/equivariant functions by deep neural networks A Sannai, Y Takai, M Cordonnier arXiv preprint arXiv:1903.01939, 2019 | 81 | 2019 |
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs M Cordonnier, N Keriven, N Tremblay, S Vaiter arXiv preprint arXiv:2304.11140, 2023 | 6 | 2023 |
On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity Y Takai, A Sannai, M Cordonnier International Conference on Artificial Intelligence and Statistics, 3799-3807, 2021 | 4 | 2021 |
Seeking universal approximation for continuous limits of graph neural networks on large random graphs M Cordonnier, N Keriven, N Tremblay, S Vaiter Asilomar 2024, 2024 | | 2024 |
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry A Sannai, Y Takai, M Cordonnier arXiv preprint arXiv:2409.16922, 2024 | | 2024 |
Seeking universal approximation for continuous counterparts of GNNs on large random graphs M Cordonnier, N Keriven, N Tremblay, S Vaiter GSP workshop 2024-7th Graph Signal Processing Workshop, 2024 | | 2024 |