Aaron Wilson

Artificial Intelligence · 2007–2016

A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #8,473 of 35,345 by trust here, #9,170 by citations
• Reinforcement Learning — 19 citations into it; #537 of 2,242 by trust here, #695 by citations
• Probabilistic & Bayesian Methods — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistics and Probability — 5 citations into it

Whom Aaron Wilson trusts overall

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

1. Radford M. Neal
2. Malcolm J. A. Strens
3. J. Bernardo
4. Diederik P. Kingma
5. H. Sebastian Seung
6. Michail G. Lagoudakis
7. Geoffrey E. Hinton
8. Wei Chu
9. Jonathan Baxter
10. Jette Randløv

Who trusts Aaron Wilson overall

1. Christian Wirth
2. Mohammad Rostami
3. Sanmit Narvekar
4. Ashesh Jain
5. Mohammad Ghavamzadeh
6. Alessandro Lazaric
7. Yu Zhang
8. Jan Leike
9. Peter Stone
10. Matthew E. Taylor

Papers from Aaron Wilson's perspective

Ordered by how strongly the researchers Aaron Wilson 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multi-task reinforcement learning: a hierarchical Bayesian approach (2007) — 354 citations
• Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders (2016) — 22 citations
• A Bayesian Approach for Policy Learning from Trajectory Preference Queries (2012) — 202 citations
• Bayesian role discovery for multi-agent reinforcement learning (2010) — 9 citations
• Bayesian Policy Search for Multi-Agent Role Discovery (2010) — 16 citations
• Learning and transferring roles in multi-agent MDPs (2008) — 4 citations
• Learning and Transferring Roles in Multi-Agent Reinforcement (2008)