Mattias Kuosku

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Mattias Kuosku trusts overall

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

1. Volodymyr Mnih
2. Sergey Levine
3. Richard S. Sutton
4. Geoffrey E. Hinton
5. Timothy P. Lillicrap
6. John Schulman
7. Yoshua Bengio
8. E. Todorov
9. Yann LeCun
10. Alex Graves

Papers from Mattias Kuosku's perspective

Ordered by how strongly the researchers Mattias Kuosku 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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. Learning Multiple Layers of Features from Tiny Images
10. Reinforcement Learning: An Introduction

Their papers

• Autonomous vehicle control via deep reinforcement learning (2017) — 15 citations