Sari Sabban

Molecular Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 27 citations into it
• Computational Biology & Bioinformatics — 17 citations into it
• Materials Chemistry — 15 citations into it

Whom Sari Sabban trusts overall

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

1. Sargur N. Srihari
2. Alec Radford
3. Moustafa Farid Alzantot
4. Carol A. Rohl
5. Pehr Harbury
6. Robbie P. Joosten
7. Wouter G. Touw
8. Michael D. Tyka
9. Peter J. A. Cock
10. Tim A. H. te Beek

Who trusts Sari Sabban overall

1. Kevin E. Wu
2. Kevin Kaichuang Yang

Papers from Sari Sabban's perspective

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

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

Their papers

• RamaNet: Computational de novo helical protein backbone design using a long short-term memory generative neural network (2019) — 24 citations