Sung Yang Bang

Probabilistic & Bayesian Methods · 2003–2008

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 10 citations into it
• Artificial Intelligence — 8 citations into it; #27,699 of 35,345 by trust here, #18,586 by citations
• Statistics and Probability — 5 citations into it; #10,329 of 12,932 by trust here, #10,855 by citations

Whom Sung Yang Bang trusts overall

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

1. Matthew J. Beal
2. Radford M. Neal
3. David John Cameron MacKay
4. Zoubin Ghahramani
5. Michael I. Jordan
6. Arthur P. Dempster
7. John M. Winn
8. Naonori Ueda
9. Leo Breiman

Who trusts Sung Yang Bang overall

1. James Hensman
2. Neil D. Lawrence
3. Magnus Rattray

Papers from Sung Yang Bang's perspective

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

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. ImageNet classification with deep convolutional neural networks
3. Pattern Recognition and Machine Learning
4. An Introduction to Variational Methods for Graphical Models
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Information Theory, Inference, and Learning Algorithms
9. Hierarchical Mixtures of Experts and the EM Algorithm
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Latent-Space Variational Bayes (2008) — 36 citations
• Constructing support vector machine ensemble (2003) — 517 citations