Vu Pham

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Reinforcement Learning — 58 citations into it
• Control and Systems Engineering — 41 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Biomedical Engineering — 21 citations into it
• Robotics & Control — 21 citations into it
• Computational Theory and Mathematics — 10 citations into it

Whom Vu Pham trusts overall

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

1. Yuval Tassa
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Nicolas Manfred Otto Heess
5. Richard S. Sutton
6. E. Todorov
7. Karen Simonyan
8. Stefan Schaal
9. Josh Merel
10. R´emi Munos

Who trusts Vu Pham overall

1. Josh Merel
2. Caglar Gulcehre

Papers from Vu Pham's perspective

Ordered by how strongly the researchers Vu Pham 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Human-level control through deep reinforcement learning
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Hierarchical visuomotor control of humanoids (2018) — 102 citations
• Catch & Carry (2019) — 103 citations
• Neural probabilistic motor primitives for humanoid control (2018) — 187 citations