Owen Thomas

Artificial Intelligence · with Corander · 2016

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #26,004 of 35,345 by trust here, #28,481 by citations
• Statistics and Probability — 28 citations into it; #9,676 of 12,932 by trust here, #8,740 by citations
• Probabilistic & Bayesian Methods — 14 citations into it; #1,260 of 1,525 by trust here, #1,274 by citations

Whom Owen Thomas trusts overall

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

1. Michael U Gutmann
2. George Papamakarios
3. Robert Tibshirani
4. Eric R. Ziegel
5. Simon N. Wood
6. MARK A. Beaumont
7. D. Wilks
8. Iain Murray
9. Yanan Fan
10. Scott Anthony Sisson

Who trusts Owen Thomas overall

1. Joeri Hermans
2. Volodimir Begy
3. David S. Greenberg
4. Gilles Louppe
5. Marcel Nonnenmacher

Papers from Owen Thomas's perspective

Ordered by how strongly the researchers Owen Thomas 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Likelihood-Free Inference by Ratio Estimation (2016) — 180 citations