alexander rosenberg johansen
Molecular Biology · 2017–2022
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 23 citations into it
Whom alexander rosenberg johansen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Sean R. Eddy
- Yann LeCun
- Xavier Glorot
- Geoffrey E. Hinton
- Søren Kaae Sønderby
- Alex Graves
- Morten Nielsen
Who trusts alexander rosenberg johansen overall
Papers from alexander rosenberg johansen's perspective
Ordered by how strongly the researchers alexander rosenberg johansen trusts endorse each paper. Same corpus, a different order for every researcher.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- 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
- This PDF file includes: Materials and Methods
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Understanding the difficulty of training deep feedforward neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- An introduction to deep learning on biological sequence data: examples and solutions (2017) — 141 citations
- SignalP 6.0 predicts all five types of signal peptides using protein language models (2022) — 2,313 citations