Johannes Andreas Stork

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #21,593 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 17 citations into it; #12,648 of 21,575 by trust here, #15,955 by citations
• Control and Systems Engineering — 17 citations into it
• Reinforcement Learning — 16 citations into it
• Ocean Engineering — 5 citations into it; #1,461 of 3,193 by trust here, #1,606 by citations

Whom Johannes Andreas Stork trusts overall

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

1. Diederik P. Kingma
2. Richard S. Sutton
3. Jonas Mockus
4. Geoffrey E. Hinton
5. Peter I. Frazier
6. Michael I. Jordan
7. Saad Ali
8. Alex Graves
9. Alex Nichol
10. Jimmy Ba

Who trusts Johannes Andreas Stork overall

1. Pete Trautman
2. Alexandre Alahi
3. Alexandre Robicquet
4. Agrim Gupta

Papers from Johannes Andreas Stork's perspective

Ordered by how strongly the researchers Johannes Andreas Stork trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Human-level control through deep reinforcement learning
9. ImageNet: A large-scale hierarchical image database
10. Reinforcement Learning: An Introduction

Their papers

• People tracking with human motion predictions from social forces (2010) — 355 citations
• VPE: Variational Policy Embedding for Transfer Reinforcement Learning (2018) — 40 citations
• Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation (2016) — 114 citations