Yunus Saatci

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #5,843 of 21,575 by trust here, #10,154 by citations
• Generative Models — 16 citations into it; #1,039 of 1,956 by trust here, #1,502 by citations
• Artificial Intelligence — 15 citations into it; #9,930 of 35,345 by trust here, #21,878 by citations
• Probabilistic & Bayesian Methods — 13 citations into it; #976 of 1,525 by trust here, #991 by citations

Whom Yunus Saatci trusts overall

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

1. Dustin Tran
2. Theofanis Karaletsos
3. Alec Radford
4. Diederik P. Kingma
5. Paul A. Viola
6. Tim Salimans
7. Geoffrey E. Hinton
8. Rajesh Ranganath
9. Sebastian Nowozin
10. David M. Blei

Who trusts Yunus Saatci overall

1. Sergey I. Nikolenko
2. Erik A. Daxberger
3. Divya Saxena
4. Wonseok Jeon
5. Hao He
6. Jie Gui
7. Maruan Al-Shedivat
8. Ruqi Zhang
9. Andrew Gordon Wilson
10. José Miguel Hernández-Lobato

Papers from Yunus Saatci's perspective

Ordered by how strongly the researchers Yunus Saatci 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Metropolis-Hastings Generative Adversarial Networks (2018) — 109 citations
• Bayesian GAN (2017) — 151 citations