Siew Li Tan

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #16,742 of 35,345 by trust here, #28,481 by citations
• Statistics and Probability — 17 citations into it; #6,089 of 12,932 by trust here, #8,740 by citations
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Siew Li Tan trusts overall

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

1. Michael I. Jordan
2. D. M. Titterington
3. Matt P. Wand
4. Tim Hesterberg
5. Anthony OʼHagan
6. James C. Spall
7. Sylvia Frühwirth-Schnatter
8. Robert A. Jacobs
9. Charles M. Bishop
10. Radford M. Neal

Who trusts Siew Li Tan overall

1. Linda S. L. Tan
2. David J. Nott
3. Tim Salimans
4. David M. Blei
5. Yanan Fan
6. Ming Xu
7. David A. Knowles

Papers from Siew Li Tan's perspective

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

1. An Introduction to Variational Methods for Graphical Models
2. ImageNet classification with deep convolutional neural networks
3. Pattern Recognition and Machine Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. A Stochastic Approximation Method
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Hierarchical Mixtures of Experts and the EM Algorithm
10. Long Short-Term Memory

Their papers

• Regression Density Estimation With Variational Methods and Stochastic Approximation (2012) — 60 citations