Elana Simon
Molecular Biology · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 131 citations into it
- Computational Biology & Bioinformatics — 52 citations into it
- Radiology, Nuclear Medicine and Imaging — 49 citations into it
- Artificial Intelligence — 38 citations into it
- Immunology — 36 citations into it
- Natural Language Processing — 23 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Generative Models — 15 citations into it
Whom Elana Simon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Yoshua Bengio
- Jimmy Ba
- Alex Graves
- Yann LeCun
- Alex Krizhevsky
- Sepp Hochreiter
- J. Urgen Schmidhuber
Papers from Elana Simon's perspective
Ordered by how strongly the researchers Elana Simon trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Protein design and variant prediction using autoregressive generative models (2021) — 363 citations
- Accelerating Protein Design Using Autoregressive Generative Models (2019) — 45 citations
- ChemBERTa-2: Towards Chemical Foundation Models (2022) — 312 citations