Pierre Cournut

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 11 citations into it; #35,110 of 35,345 by trust here, #24,417 by citations
• Reinforcement Learning — 6 citations into it

Whom Pierre Cournut trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Sergey Ioffe
4. Yoshua Bengio
5. Xavier Glorot
6. Elias Boutros Khalil
7. Geoffrey E. Hinton
8. Jimmy Ba
9. Christian Szegedy
10. Alex Krizhevsky

Who trusts Pierre Cournut overall

1. Xinyun Chen
2. Chaitanya K. Joshi
3. Kaiwen Li
4. Alexandros Graikos
5. Nina Mazyavkina

Papers from Pierre Cournut's perspective

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

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

Their papers

• Learning Heuristics for the TSP by Policy Gradient (2018) — 381 citations