Aaron W. Kollasch
Molecular Biology · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 126 citations into it
- Computational Biology & Bioinformatics — 52 citations into it
- Radiology, Nuclear Medicine and Imaging — 49 citations into it
- Immunology — 36 citations into it
- Artificial Intelligence — 34 citations into it
- Natural Language Processing — 20 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Generative Models — 15 citations into it
Whom Aaron W. Kollasch 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
- Sepp Hochreiter
- Alex Krizhevsky
- Tim Salimans
Papers from Aaron W. Kollasch's perspective
Ordered by how strongly the researchers Aaron W. Kollasch trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Protein design and variant prediction using autoregressive generative models (2021) — 363 citations
- Accelerating Protein Design Using Autoregressive Generative Models (2019) — 45 citations