Ian Fox

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Reinforcement Learning — 11 citations into it

Whom Ian Fox trusts overall

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

1. Tuomas Haarnoja
2. Sergey Ioffe
3. Richard S. Sutton
4. Mariano De Paula
5. Christian Szegedy
6. Kyunghyun Cho
7. Sergey Levine
8. Elena Daskalaki
9. Boris P. Kovatchev
10. Volodymyr Mnih

Who trusts Ian Fox overall

1. Alexander Pan
2. Kush Bhatia

Papers from Ian Fox's perspective

Ordered by how strongly the researchers Ian Fox 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Reinforcement Learning: An Introduction
10. Human-level control through deep reinforcement learning

Their papers

• Deep Reinforcement Learning for Closed-Loop Blood Glucose Control (2020) — 83 citations