Heechang Ryu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #25,889 of 35,345 by trust here, #34,213 by citations
• Reinforcement Learning — 12 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Heechang Ryu trusts overall

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

1. David Silver
2. Marco Gori
3. Jiechuan Jiang
4. Franco Scarselli
5. Sainbayar Sukhbaatar
6. Tuomas Haarnoja
7. Volodymyr Mnih
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Richard S. Sutton

Who trusts Heechang Ryu overall

1. Georgios Papoudakis
2. Filippos Christianos
3. Lukas Schäfer

Papers from Heechang Ryu's perspective

Ordered by how strongly the researchers Heechang Ryu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Human-level control through deep reinforcement learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multi-Agent Actor-Critic with Hierarchical Graph Attention Network (2019) — 149 citations