Andrew Lamb

Molecular Biology · with Zhang · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 37 citations into it
• Artificial Intelligence — 11 citations into it
• Natural Language Processing — 8 citations into it
• Model Architectures — 5 citations into it

Whom Andrew Lamb trusts overall

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

1. Nal Kalchbrenner
2. Kyunghyun Cho
3. Yoon Kim
4. Dzmitry Bahdanau
5. Yoshua Bengio
6. Phil Blunsom
7. Bart van Merrienboer
8. Geoffrey E. Hinton
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Andrew Lamb overall

1. Jonas Gehring

Papers from Andrew Lamb's perspective

Ordered by how strongly the researchers Andrew Lamb 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The Immune Landscape of Cancer (2018) — 4,752 citations
• Convolutional Encoders for Neural Machine Translation (2015) — 12 citations