Thomas Hornigold

Global and Planetary Change · 2019

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

• Global and Planetary Change — 12 citations into it
• Atmospheric Science — 11 citations into it

Whom Thomas Hornigold trusts overall

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

1. P. Crutzen
2. Douglas G. MacMartin
3. Wake Smith
4. David William Keith
5. Olaf Ronneberger
6. Tabish Rashid
7. Stefano Castruccio
8. Ben Kravitz
9. Volodymyr Mnih
10. Gabriel Dulac-Arnold

Papers from Thomas Hornigold's perspective

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

1. Human-level control through deep reinforcement learning
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Albedo Enhancement by Stratospheric Sulfur Injections: A Contribution to Resolve a Policy Dilemma?
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning to Navigate in Complex Environments

Their papers

• Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem (2019) — 9 citations