Guillaume Sartoretti

IEEE Robotics and Automation Letters · 2018

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

Whom Guillaume Sartoretti trusts overall

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

1. Timothy Dozat
2. Karen Simonyan
3. Richard S. Sutton
4. Guillaume Lample
5. Glenn Wagner
6. Stéphane Ross
7. Volodymyr Mnih
8. Andrew Zisserman
9. Geoffrey E. Hinton
10. Tom Schaul

Who trusts Guillaume Sartoretti overall

1. Qingbiao Li
2. Binyu Wang
3. Chen Tang

Papers from Guillaume Sartoretti's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Asynchronous Methods for Deep Reinforcement Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning (2018) — 417 citations