Sinho Chewi

Statistics and Probability · with Chen · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 14 citations into it
• Applied Mathematics — 12 citations into it
• Mathematical Physics — 7 citations into it

Whom Sinho Chewi trusts overall

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

1. Filippo Santambrogio
2. Qiang Liu
3. Felix Otto
4. Cédric Villani
5. Shin-ichi Ohta
6. Xiang Cheng
7. James Martin
8. Asuka Takatsu
9. Alexandre B. Tsybakov
10. Lucas C. Wilcox

Papers from Sinho Chewi's perspective

Ordered by how strongly the researchers Sinho Chewi 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. Generalization of an Inequality by Talagrand and Links with the Logarithmic Sobolev Inequality
4. THE VARIATIONAL FORMULATION OF THE FOKKER-PLANCK EQUATION
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Dimension-free log-Sobolev inequalities for mixture distributions (2021) — 53 citations
• SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence (2020) — 86 citations