JaeMo Sung

Probabilistic & Bayesian Methods · 2008

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 9 citations into it
• Artificial Intelligence — 5 citations into it; #27,700 of 35,345 by trust here, #32,362 by citations

Whom JaeMo Sung 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. John M. Winn
7. Naonori Ueda
8. Arthur P. Dempster
9. Christophe Andrieu
10. Charles M. Bishop

Who trusts JaeMo Sung overall

1. James Hensman
2. Magnus Rattray

Papers from JaeMo Sung's perspective

Ordered by how strongly the researchers JaeMo Sung 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. Learning Multiple Layers of Features from Tiny Images
7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
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

• Latent-Space Variational Bayes (2008) — 36 citations