Andrew B. Duncan

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 26 citations into it; #8,871 of 12,932 by trust here, #8,740 by citations
• Artificial Intelligence — 16 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Applied Mathematics — 6 citations into it; #5,260 of 7,620 by trust here, #4,749 by citations
• Optimization & Training — 5 citations into it

Whom Andrew B. Duncan trusts overall

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

1. Gareth O. Roberts
2. Andrew Gelman
3. Francis R. Bach
4. Qiang Liu
5. Mark A. Girolami
6. Max Welling
7. Radford M. Neal
8. Yutian Chen
9. Simon Lacoste-Julien
10. Jackson Gorham

Who trusts Andrew B. Duncan overall

1. Christopher Nemeth
2. Jackson Gorham

Papers from Andrew B. Duncan's perspective

Ordered by how strongly the researchers Andrew B. Duncan 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Measuring Sample Quality with Diffusions (2016) — 123 citations