Cameron J. Owen

Materials Chemistry · 2022

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 32 citations into it
• Computational Chemistry & Drug Discovery — 15 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Molecular Biology — 13 citations into it
• Artificial Intelligence — 11 citations into it
• Atomic and Molecular Physics, and Optics — 10 citations into it
• AI for Physical Sciences — 8 citations into it
• Physical and Theoretical Chemistry — 8 citations into it

Whom Cameron J. Owen trusts overall

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

1. Kristof T. Schütt

Papers from Cameron J. Owen's perspective

Ordered by how strongly the researchers Cameron J. Owen 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. Gaussian Error Linear Units (GELUs)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
9. ImageNet: A large-scale hierarchical image database
10. On the Convergence of Adam and Beyond

Their papers

• Learning local equivariant representations for large-scale atomistic dynamics (2022) — 820 citations