D. Davies

Materials Chemistry · with Butler · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 40 citations into it; #9,516 of 11,513 by trust here, #4,939 by citations
• Computational Theory and Mathematics — 18 citations into it; #11,212 of 12,182 by trust here, #1,027 by citations
• Computational Chemistry & Drug Discovery — 16 citations into it

Whom D. Davies trusts overall

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

1. Marwin H. S. Segler
2. John Shawe-Taylor
3. Aram Wettroth Harrow

Who trusts D. Davies overall

1. Nicholas J. Schork
2. Tânia F Cova
3. Rohit Batra
4. Pascal Friederich

Papers from D. Davies's perspective

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

1. Neural Turing Machines
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Human-level concept learning through probabilistic program induction
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Machine learning for molecular and materials science (2018) — 3,942 citations