Adam Bohr

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 10 citations into it
• Molecular Biology — 9 citations into it
• Materials Chemistry — 6 citations into it

Whom Adam Bohr trusts overall

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

1. Izhar Wallach
2. Andreas Mayr
3. Daniel A. Hashimoto
4. Kai-Fu Lee
5. Arvid Lundervold
6. Jerzy K. Kulski
7. E. Musk
8. Trang Pham
9. Michael Dzamba
10. Günter Klambauer

Papers from Adam Bohr's perspective

Ordered by how strongly the researchers Adam Bohr 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. Long Short-Term Memory
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Learning Multiple Layers of Features from Tiny Images
9. Dropout: a simple way to prevent neural networks from overfitting
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• The rise of artificial intelligence in healthcare applications (2020) — 999 citations