Guim Perarnau

Generative Models · 2016

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 16 citations into it; #670 of 1,956 by trust here, #684 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #6,656 of 21,575 by trust here, #6,146 by citations
• Artificial Intelligence — 6 citations into it

Whom Guim Perarnau trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Individualized Treat
6. Alec Radford
7. Alex Krizhevsky
8. Jeff Donahue
9. Jimmy Ba
10. Ilya Sutskever

Who trusts Guim Perarnau overall

1. Yuval Alaluf
2. Yotam Nitzan
3. Yujun Shen
4. Zhenliang He
5. Jinjin Gu
6. Aliaksandr Siarohin
7. Omer Tov
8. Divya Saxena
9. Amit H. Bermano
10. Yongjun Hong

Papers from Guim Perarnau's perspective

Ordered by how strongly the researchers Guim Perarnau 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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

• Invertible Conditional GANs for image editing (2016) — 672 citations