Stuart Aitken
Artificial Intelligence · 2011
A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it; #28,598 of 35,345 by trust here, #31,361 by citations
- Probabilistic & Bayesian Methods — 27 citations into it
- Management Science and Operations Research — 10 citations into it; #9,602 of 11,946 by trust here, #9,931 by citations
- Causal Inference & Discovery — 6 citations into it
- Molecular Biology — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Stuart Aitken trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Judea Pearl
- David E. Heckerman
- Nir Friedman
- Adnan Darwiche
- Ioannis Tsamardinos
- Michael I. Jordan
- David Maxwell Chickering
- Gregory F. Cooper
- Peter Spirtes
- Zoubin Ghahramani
Who trusts Stuart Aitken overall
Papers from Stuart Aitken's perspective
Ordered by how strongly the researchers Stuart Aitken 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
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Learning Bayesian networks: approaches and issues (2011) — 355 citations