Alex Beatson

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Generative Models — 5 citations into it; #674 of 1,956 by trust here, #961 by citations

Whom Alex Beatson trusts overall

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

1. Yann LeCun
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Mehdi Mirza
5. Alec Radford
6. Jimmy Ba
7. Yoshua Bengio
8. Alex Krizhevsky
9. Friedemann Zenke
10. James Martens

Who trusts Alex Beatson overall

1. Zixuan Ke
2. Bing Liu
3. Gyuhak Kim
4. Katja Auernhammer
5. Fei Ye
6. Matthias De Lange
7. Hoang Thanh-Tung
8. Yiduo Guo
9. Ramin Tavakoli Kolagari
10. Wenpeng Hu

Papers from Alex Beatson's perspective

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

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

Their papers

• Continual Learning in Generative Adversarial Nets (2017) — 135 citations
• Blind Attacks on Machine Learners (2016) — 6 citations