Mårten Björkman

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #21,869 of 35,345 by trust here, #17,776 by citations
• Reinforcement Learning — 18 citations into it; #1,531 of 2,242 by trust here, #1,519 by citations
• Control and Systems Engineering — 10 citations into it; #4,716 of 8,257 by trust here, #2,612 by citations
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Mårten Björkman trusts overall

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

1. Sergey Levine
2. Carl Doersch
3. Pieter Abbeel
4. Jan Peters
5. Marc Peter Deisenroth
6. Diederik P. Kingma
7. Chelsea Finn
8. John T. Betts
9. Geoffrey E. Hinton
10. John Schulman

Who trusts Mårten Björkman overall

1. Sergey Levine
2. Chelsea Finn
3. Abhishek Gupta

Papers from Mårten Björkman's perspective

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

Their papers

• Deep predictive policy training using reinforcement learning (2017) — 138 citations