Alexandre Heuillet

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Reinforcement Learning — 37 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Robotics & Control — 5 citations into it

Whom Alexandre Heuillet trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Yann LeCun
7. Quanshi Zhang
8. Volodymyr Mnih
9. Kaiming He
10. Ilya Sutskever

Who trusts Alexandre Heuillet overall

1. Gesina Schwalbe
2. Amal Feriani

Papers from Alexandre Heuillet's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Explainability in Deep Reinforcement Learning (2020) — 345 citations