Du Phan

Probabilistic & Bayesian Methods · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 12 citations into it; #1,120 of 1,525 by trust here, #1,244 by citations
• Artificial Intelligence — 10 citations into it; #21,721 of 35,345 by trust here, #27,551 by citations

Whom Du Phan trusts overall

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

1. Matthew D. Hoffman
2. Radford M. Neal
3. Andrew Gelman
4. John Salvatier
5. Raj Agrawal
6. Dustin Tran
7. David M. Blei
8. Siddharth Narayanaswamy
9. Adam Paszke
10. Bob Carpenter

Who trusts Du Phan overall

1. Wesley J. Maddox
2. Sebastian Raschka
3. Guillaume Baudart
4. Nazanin Khosravani Tehrani
5. David Dohan
6. Gregory W. Benton
7. Joshua Patterson
8. Javier Burroni
9. Nimar S. Arora

Papers from Du Phan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro (2019) — 531 citations