Steven Van Kuyk

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Information Theory — 5 citations into it
• Signal Processing — 5 citations into it

Whom Steven Van Kuyk trusts overall

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

1. Peter Vary
2. Alan Bundy
3. Naftali Tishby
4. Rainer Martin
5. Taffeta M. Elliott
6. Fernando C Pereira
7. Diederik P. Kingma
8. William Bialek

Papers from Steven Van Kuyk's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. The information bottleneck method
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. A Mathematical Theory of Communication

Their papers

• Caveats for information bottleneck in deterministic scenarios (2018) — 94 citations
• On the information rate of speech communication (2017) — 26 citations