Yongxin Chen

Generative Models · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 367 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 55 citations into it; #604 of 1,956 by trust here, #1,221 by citations
• Computer Vision and Pattern Recognition — 49 citations into it; #7,907 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 34 citations into it; #11,996 of 35,345 by trust here, #18,186 by citations
• Statistical and Nonlinear Physics — 21 citations into it; #2,584 of 10,127 by trust here, #3,735 by citations
• Probabilistic & Bayesian Methods — 14 citations into it
• Signal Processing — 11 citations into it
• Biophysics — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Yongxin Chen trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Yang Song
4. Geoffrey E. Hinton
5. Yann LeCun
6. Jonathan Ho
7. Yoshua Bengio
8. Pascal Vincent
9. Alex Nichol
10. Aapo Hyvärinen

Who trusts Yongxin Chen overall

1. Axel Sauer
2. Ling Yang
3. Xinyin Ma
4. Ye Yuan
5. Hanqun Cao
6. Wenliang Zhao
7. Cheng Lu
8. Tianwei Yin
9. Neta Shaul
10. Dongjun Kim

Papers from Yongxin Chen's perspective

Ordered by how strongly the researchers Yongxin Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fast Sampling of Diffusion Models with Exponential Integrator (2022) — 629 citations
• Diffusion Normalizing Flow (2021) — 118 citations