Thomas Furmston

2010

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Thomas Furmston trusts overall

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

1. Tom Minka
2. Martin J. Wainwright
3. Michael O. Duff
4. Frank R. Kschischang
5. Richard Dearden
6. Andrew Barto
7. Michael I. Jordan
8. Richard S. Sutton
9. Brendan J. Frey
10. Geoffrey E. Hinton

Who trusts Thomas Furmston overall

1. Stephan Zheng
2. Jan Peters
3. Jan-Willem van de Meent
4. Yisong Yue
5. Katharina Muelling
6. Brooks Paige
7. Hao Cui
8. Yasemin Altun
9. David M. Blei
10. David Tolpin

Papers from Thomas Furmston's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Reinforcement Learning: An Introduction
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Variational methods for Reinforcement Learning (2010) — 56 citations