A. Kruse
Molecular Biology · Nature · 2011–2021
A researcher in the Science corpus: 11 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 221 citations into it; #14,367 of 17,773 by trust here, #2,189 by citations
- Computational Biology & Bioinformatics — 54 citations into it
- Radiology, Nuclear Medicine and Imaging — 51 citations into it
- Immunology — 41 citations into it
- Artificial Intelligence — 34 citations into it
- Natural Language Processing — 22 citations into it
- Materials Chemistry — 19 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
Whom A. Kruse trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. McCoy
- Vadim Cherezov
- Geoffrey E. Hinton
- Ian W. Davis
- Ilya Sutskever
- Diederik P. Kingma
- S. Rasmussen
- Yoshua Bengio
- Jimmy Ba
- Alexander D. MacKerell
Who trusts A. Kruse overall
- William I. Weis
- Ye Fang
- Brian K. Kobilka
- Brian K. Shoichet
- Vsevolod Katritch
- Raymond C. Stevens
- Bryan L. Roth
Papers from A. Kruse's perspective
Ordered by how strongly the researchers A. Kruse 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Layer Normalization
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Structure of the δ-opioid receptor bound to naltrindole (2012) — 630 citations
- Protein design and variant prediction using autoregressive generative models (2021) — 363 citations
- Crystal structure of the μ-opioid receptor bound to a morphinan antagonist (2012) — 1,392 citations
- Rapid generation of potent antibodies by autonomous hypermutation in yeast (2020) — 35 citations
- Yeast surface display platform for rapid discovery of conformationally selective nanobodies (2018) — 467 citations
- Crystal Structure of the β2Adrenergic Receptor-Gs protein complex (2011) — 2,924 citations
- Accelerating Protein Design Using Autoregressive Generative Models (2019) — 45 citations
- Structure and Dynamics of the M3 Muscarinic Acetylcholine Receptor (2012) — 789 citations
- Structure of the human M2 muscarinic acetylcholine receptor bound to an antagonist (2012) — 821 citations
- Activation and allosteric modulation of a muscarinic acetylcholine receptor (2013) — 884 citations
- Muscarinic acetylcholine receptors: novel opportunities for drug development (2014) — 393 citations