Jingwei Zhuo

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it; #12,729 of 12,932 by trust here, #11,487 by citations
• Probabilistic & Bayesian Methods — 10 citations into it
• Applied Mathematics — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Geometry and Topology — 6 citations into it
• Mathematical Physics — 5 citations into it

Whom Jingwei Zhuo trusts overall

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

1. Felix Otto
2. Michael Betancourt
3. Luigi Ambrosio
4. Max Welling
5. Mark A. Girolami
6. Gareth O. Roberts
7. Tianqi Chen
8. Radford M. Neal
9. Qiang Liu
10. Yee Whye Teh

Who trusts Jingwei Zhuo overall

1. Zhenyi Wang

Papers from Jingwei Zhuo's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Bayesian Learning via Stochastic Gradient Langevin Dynamics
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. On the importance of initialization and momentum in deep learning

Their papers

• Understanding MCMC Dynamics as Flows on the Wasserstein Space (2019) — 23 citations