Sven Gronauer

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 131 citations into it
• Reinforcement Learning — 110 citations into it
• Management Science and Operations Research — 23 citations into it
• Computational Theory and Mathematics — 21 citations into it
• Game & Decision Theory — 19 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Natural Language Processing — 10 citations into it
• Control and Systems Engineering — 9 citations into it

Whom Sven Gronauer trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Andrew Y. Ng
5. J. Urgen Schmidhuber
6. Jakob N. Foerster
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Ilya Sutskever
10. Yann LeCun

Papers from Sven Gronauer's perspective

Ordered by how strongly the researchers Sven Gronauer 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Multi-agent deep reinforcement learning: a survey (2021) — 931 citations