Paul Horsfall

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #20,263 of 35,345 by trust here, #10,207 by citations
• Probabilistic & Bayesian Methods — 29 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Generative Models — 8 citations into it

Whom Paul Horsfall trusts overall

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

1. David Wingate
2. Geoffrey E. Hinton
3. Andriy Mnih
4. Peter W. Glynn
5. Paul Glasserman
6. Noah D. Goodman
7. Diederik P. Kingma
8. Radford M. Neal
9. Yoshua Bengio
10. Alex Graves

Who trusts Paul Horsfall overall

1. Willie Neiswanger
2. Shakir Mohamed
3. Yura N. Perov

Papers from Paul Horsfall's perspective

Ordered by how strongly the researchers Paul Horsfall 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Amortized Inference for Probabilistic Programs (2016) — 87 citations
• Pyro: Deep Universal Probabilistic Programming (2018) — 1,301 citations