Noelia Ferruz

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 33 citations into it
• Computational Biology & Bioinformatics — 15 citations into it

Whom Noelia Ferruz trusts overall

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

1. Tristan Bepler
2. Gábor Erdös
3. Bin Liu
4. Milot Mirdita
5. Jeff Rasley
6. Frank DiMaio
7. Ari Holtzman
8. E. C. Alley
9. Erik Nijkamp
10. Alexander Rives

Who trusts Noelia Ferruz overall

1. Brian L. Trippe
2. Kevin E. Wu
3. Kevin Kaichuang Yang
4. Jason Yim
5. Namrata Anand

Papers from Noelia Ferruz's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Language Models are Unsupervised Multitask Learners
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• ProtGPT2 is a deep unsupervised language model for protein design (2022) — 866 citations