Sampo Kuutti
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it
- Computer Vision and Pattern Recognition — 49 citations into it
- Reinforcement Learning — 47 citations into it
- Automotive Engineering — 32 citations into it
- Control and Systems Engineering — 30 citations into it
- Aerospace Engineering — 19 citations into it
- Electrical and Electronic Engineering — 17 citations into it
- Optimization & Training — 13 citations into it
Whom Sampo Kuutti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- L. Eon Bottou
- Ilya Sutskever
- Richard S. Sutton
- Andrew Y. Ng
- Kaiming He
Papers from Sampo Kuutti's perspective
Ordered by how strongly the researchers Sampo Kuutti trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A Survey of Deep Learning Applications to Autonomous Vehicle Control (2019) — 696 citations
- A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications (2018) — 699 citations