Eugen Solowjow

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Reinforcement Learning — 23 citations into it
• Control and Systems Engineering — 15 citations into it

Whom Eugen Solowjow trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Sergey Levine
5. Ilya Sutskever
6. Alec Radford
7. Jimmy Ba

Papers from Eugen Solowjow's perspective

Ordered by how strongly the researchers Eugen Solowjow 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Dropout: a simple way to prevent neural networks from overfitting
8. Asynchronous Methods for Deep Reinforcement Learning
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Residual Reinforcement Learning for Robot Control (2018) — 624 citations
• Learning a deep neural net policy for end-to-end control of autonomous vehicles (2017) — 120 citations
• Data Collection for Robust End-to-End Lateral Vehicle Control (2017) — 4 citations