Durk Kingma

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 239 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 88 citations into it
• Generative Models — 60 citations into it
• Artificial Intelligence — 44 citations into it
• Model Architectures — 10 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Reinforcement Learning — 10 citations into it
• Signal Processing — 10 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Durk Kingma trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Graves
4. Yoshua Bengio
5. Alex Krizhevsky
6. Danilo Jimenez Rezende
7. Aäron van den Oord
8. Kaiming He
9. Chelsea Finn
10. Sepp Hochreiter

Papers from Durk Kingma's perspective

Ordered by how strongly the researchers Durk Kingma 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation (2019) — 143 citations
• VideoFlow: A Flow-Based Generative Model for Video (2019) — 135 citations