Belinda Tzen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #7,048 of 35,345 by trust here, #23,077 by citations
• Probabilistic & Bayesian Methods — 8 citations into it; #497 of 1,525 by trust here, #1,075 by citations
• Statistical and Nonlinear Physics — 8 citations into it; #1,176 of 10,127 by trust here, #5,403 by citations

Whom Belinda Tzen trusts overall

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

1. Diederik P. Kingma
2. Joseph Lehec
3. David M. Blei
4. Danilo Jimenez Rezende
5. Esteban G. Tabak
6. Rajesh Ranganath
7. Max Welling
8. T. Chen
9. Atilim Gunes Baydin
10. Tom Ryder

Who trusts Belinda Tzen overall

1. Junteng Jia
2. Chin-Wei Huang
3. Ivan Kobyzev
4. Yang Song
5. Jonathan Ho
6. Sam Bond-Taylor
7. Xuechen Li
8. Liam Hodgkinson
9. Patrick Kidger
10. Chitwan Saharia

Papers from Belinda Tzen's perspective

Ordered by how strongly the researchers Belinda Tzen 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit (2019) — 268 citations