Francois Belletti

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Reinforcement Learning — 28 citations into it
• Management Science and Operations Research — 18 citations into it
• Optimization & Training — 6 citations into it

Whom Francois Belletti trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. L. Eon Bottou
6. Diederik P. Kingma
7. Ronald J. Williams
8. Yann LeCun
9. Richard S. Sutton
10. Ross B. Girshick

Papers from Francois Belletti's perspective

Ordered by how strongly the researchers Francois Belletti 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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Kubric: A scalable dataset generator (2022) — 467 citations
• Top-K Off-Policy Correction for a REINFORCE Recommender System (2018) — 558 citations