Richard Threlfall

Computational Theory and Mathematics · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 11 citations into it; #5,902 of 12,182 by trust here, #5,954 by citations
• Computational Chemistry & Drug Discovery — 10 citations into it
• Molecular Biology — 9 citations into it

Whom Richard Threlfall trusts overall

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

1. Peter Ertl
2. Nitish Srivastava
3. Geoffrey E. Hinton
4. Jean-Louis Reymond
5. Ilya Sutskever
6. Ansgar Schuffenhauer

Who trusts Richard Threlfall overall

1. Tomohide Masuda
2. Peter Ertl
3. Jiaqi Guan
4. Zhen Peng

Papers from Richard Threlfall's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Generating Text with Recurrent Neural Networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Molecular Generation with Recurrent Neural Networks (RNNs) (2017) — 126 citations