Arthur Petron

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it
• Control and Systems Engineering — 74 citations into it
• Reinforcement Learning — 65 citations into it

Whom Arthur Petron trusts overall

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

1. J. Urgen Schmidhuber
2. Sergey Levine
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Kaiming He
6. John Schulman

Papers from Arthur Petron's perspective

Ordered by how strongly the researchers Arthur Petron 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Et al
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Attention is All you Need (Neural Information Processing Systems)
9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning dexterous in-hand manipulation (2018) — 2,231 citations
• Solving Rubik's Cube with a Robot Hand (2019) — 1,497 citations