F. Ingrand

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Reinforcement Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Aerospace Engineering — 8 citations into it
• Control and Systems Engineering — 6 citations into it
• Computer Networks and Communications — 5 citations into it

Whom F. Ingrand trusts overall

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

1. Leslie Pack Kaelbling
2. Andrew Barto
3. Richard S. Sutton
4. Abhijit Gosavi
5. Lawrence R. Rabiner
6. Andrew Y. Ng
7. Eric A. Hansen
8. Moritz Tenorth
9. A. G. Ramm
10. Michael Kearns

Who trusts F. Ingrand overall

1. Malik Ghallab

Papers from F. Ingrand's perspective

Ordered by how strongly the researchers F. Ingrand 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. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deliberation for autonomous robots: A survey (2017) — 314 citations