Alexander B. Rosenberg
Molecular Biology · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 89 citations into it; #10,916 of 17,773 by trust here, #7,980 by citations
- Artificial Intelligence — 20 citations into it
Whom Alexander B. Rosenberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiang H. F. Zhang
- Gene W. Yeo
- Rupali Patwardhan
- C. Burge
- Amir Goren
- Eric T. Wang
- L. Chasin
- Hui Yuan Xiong
- Diederik P. Kingma
- Benjamin P. Lewis
Who trusts Alexander B. Rosenberg overall
Papers from Alexander B. Rosenberg's perspective
Ordered by how strongly the researchers Alexander B. Rosenberg trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences (2020) — 99 citations
- SPLiT-seq reveals cell types and lineages in the developing brain and spinal cord (2018) — 1,182 citations
- Deep learning of the regulatory grammar of yeast 5′ untranslated regions from 500,000 random sequences (2017) — 193 citations
- Learning the sequence determinants of alternative splicing from millions of random sequences. (2015) — 261 citations