Alex Hawkins-Hooker

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 46 citations into it
• Computational Biology & Bioinformatics — 25 citations into it

Whom Alex Hawkins-Hooker trusts overall

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

1. Matteo Figliuzzi
2. Stefan Seemayer
3. Diederik P. Kingma
4. Johannes Söding
5. Martin Steinegger
6. Fabian Sievers
7. Adam J. Riesselman
8. Kevin Kaichuang Yang
9. Stanislau Semeniuta
10. Joe G. Greener

Who trusts Alex Hawkins-Hooker overall

1. Lewis Moffat
2. Vladimir Gligorijevic
3. Thomas Gaudelet
4. Joe G. Greener

Papers from Alex Hawkins-Hooker's perspective

Ordered by how strongly the researchers Alex Hawkins-Hooker trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Generating functional protein variants with variational autoencoders (2020) — 210 citations