Lu Zhang

Artificial Intelligence · with Carpenter · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Statistics and Probability — 16 citations into it
• Probabilistic & Bayesian Methods — 15 citations into it

Whom Lu Zhang trusts overall

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

1. Michael Betancourt
2. Matthew D. Hoffman
3. Rajesh Ranganath
4. Andrew Gelman
5. John Salvatier
6. Alp Kucukelbir
7. David M. Blei
8. Radford M. Neal
9. Diederik P. Kingma
10. Sean Gerrish

Who trusts Lu Zhang overall

1. Aki Vehtari
2. Andrew Gelman

Papers from Lu Zhang's perspective

Ordered by how strongly the researchers Lu Zhang 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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Pathfinder: Parallel quasi-Newton variational inference (2021) — 61 citations