Jeremias Sulam

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 115 citations into it
• Computational Biology & Bioinformatics — 55 citations into it
• Materials Chemistry — 55 citations into it
• Artificial Intelligence — 38 citations into it
• Computational Theory and Mathematics — 25 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Jeremias Sulam trusts overall

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

1. Yoshua Bengio
2. Michael I. Jordan
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Sheng Wang
6. Yann LeCun
7. Alex Krizhevsky
8. Justin S. Smith
9. Kaiming He
10. Radford M. Neal

Papers from Jeremias Sulam's perspective

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

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

Their papers

• Deep Learning in Protein Structural Modeling and Design (2020) — 191 citations