Jack Klys

Generative Models · 2018

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 13 citations into it; #1,292 of 1,956 by trust here, #1,748 by citations
• Computer Vision and Pattern Recognition — 11 citations into it; #13,784 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 6 citations into it

Whom Jack Klys trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kihyuk Sohn
6. Danilo Jimenez Rezende
7. Yann LeCun
8. Ziwei Liu
9. Tejas D. Kulkarni
10. Ilya Sutskever

Who trusts Jack Klys overall

1. Fei Ye
2. Adrian G. Bors
3. Francesco Locatello
4. Yibo Yang

Papers from Jack Klys's perspective

Ordered by how strongly the researchers Jack Klys 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

• Learning Latent Subspaces in Variational Autoencoders (2018) — 156 citations
• Joint Importance Sampling for Variational Inference (2018) — 5 citations