Gregor Heinrich

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Gregor Heinrich trusts overall

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

1. Tim Hesterberg
2. Huaiyu Zhu
3. Radford M. Neal
4. David M. Blei
5. David John Cameron MacKay
6. Thomas Hofmann
7. Michael I. Jordan
8. T. Griffiths
9. Mark Steyvers
10. Tom Minka

Who trusts Gregor Heinrich overall

1. Hao Zhang
2. Benjamin E Lauderdale
3. Yangqing Jia
4. Xuan Hieu Phan
5. Renato Faccini
6. Zhiyuan Liu
7. Zhiwei Jin
8. Aaron Q. Li
9. Lynne E. Parker
10. T. Clark

Papers from Gregor Heinrich's perspective

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

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

Their papers

• Parameter estimation for text analysis (2009) — 851 citations