Shiwei Lan

Atmospheric Science · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 58 citations into it; #3,836 of 4,804 by trust here, #2,974 by citations
• Global and Planetary Change — 57 citations into it; #7,989 of 10,225 by trust here, #6,604 by citations
• Probabilistic & Bayesian Methods — 12 citations into it
• Statistics and Probability — 11 citations into it
• Artificial Intelligence — 9 citations into it

Whom Shiwei Lan trusts overall

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

1. Radford M. Neal
2. Robert Endre Tarjan
3. C. T. ter Braak
4. Max Welling
5. Shun-ichi Amari
6. Mark A. Girolami
7. J. Golaz
8. P. Stephen
9. A. Ihler
10. Jeffrey L. Anderson

Who trusts Shiwei Lan overall

1. Ingmar Schuster
2. P. O’Gorman
3. Heiko Strathmann

Papers from Shiwei Lan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Annealed importance sampling
3. Sequential Monte Carlo samplers
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Bayesian learning for neural networks
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Wormhole Hamiltonian Monte Carlo (2013) — 66 citations
• Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations (2017) — 375 citations