Steven Atkinson

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Statistics and Probability — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Steven Atkinson trusts overall

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

1. Michalis K. Titsias
2. Neil D. Lawrence
3. Youssef M. Marzouk
4. Andreas C. Damianou
5. Andrew Gordon Wilson
6. Marc C. Kennedy
7. Gabriel J. Lord
8. Habib N. Najm
9. Hannes Nickisch
10. Christopher K. I. Williams

Who trusts Steven Atkinson overall

1. Constantin Grigo

Papers from Steven Atkinson's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion (2018) — 40 citations