Theo Pavlakou

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 144 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #2,400 of 35,345 by trust here, #5,749 by citations
• Computer Vision and Pattern Recognition — 19 citations into it; #2,896 of 21,575 by trust here, #4,245 by citations
• Generative Models — 16 citations into it
• Probabilistic & Bayesian Methods — 16 citations into it; #192 of 1,525 by trust here, #236 by citations
• Signal Processing — 5 citations into it

Whom Theo Pavlakou trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Danilo Jimenez Rezende
5. Yoshua Bengio
6. Max Welling
7. Aäron van den Oord
8. Ruslan Salakhutdinov
9. Sergey Ioffe
10. Yann LeCun

Who trusts Theo Pavlakou overall

1. Will Grathwohl
2. Xuezhe Ma
3. Emiel Hoogeboom
4. George Papamakarios
5. Charlie Nash
6. Yang Song
7. Michael S. Albergo
8. Hyun-Jae Choi
9. Conor Durkan
10. Michael Arbel

Papers from Theo Pavlakou's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet: A large-scale hierarchical image database

Their papers

• Masked Autoregressive Flow for Density Estimation (2017) — 1,636 citations