Matthieu Cordonnier

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Model Architectures — 9 citations into it

Whom Matthieu Cordonnier trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. George V. Cybenko
2. Ken-ichi Funahashi
3. Sho Sonoda

Papers from Matthieu Cordonnier's perspective

Ordered by how strongly the researchers Matthieu Cordonnier trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Et al
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Regularization of Neural Networks using DropConnect
7. Multilayer feedforward networks are universal approximators
8. Learning Multiple Layers of Features from Tiny Images
9. Group Equivariant Convolutional Networks
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Universal approximations of permutation invariant/equivariant functions by deep neural networks (2019) — 76 citations