Susann Vorberg

Molecular Biology · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 46 citations into it
• Computational Biology & Bioinformatics — 31 citations into it
• Genetics — 10 citations into it
• Materials Chemistry — 7 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Susann Vorberg trusts overall

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

1. David T. Jones
2. Thomas A. Hopf
3. Geoffrey E. Hinton
4. Hetunandan Kamisetty
5. Debora Marks
6. Sergey Ovchinnikov
7. Christopher Sander
8. Timothy Nugent
9. T. Kościółek
10. John Thomas

Who trusts Susann Vorberg overall

1. Alex Hawkins-Hooker
2. F. Depardieu

Papers from Susann Vorberg's perspective

Ordered by how strongly the researchers Susann Vorberg 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. Identification of direct residue contacts in protein–protein interaction by message passing
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Gradient-based learning applied to document recognition
9. Direct-coupling analysis of residue coevolution captures native contacts across many protein families
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Synthetic protein alignments by CCMgen quantify noise in residue-residue contact prediction (2018) — 22 citations
• LocTree3 prediction of localization (2014) — 300 citations