Andrew D. Kern
Artificial Intelligence · 2005–2021
A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Molecular Biology — 33 citations into it; #3,393 of 17,773 by trust here, #10,864 by citations
- Genetics — 29 citations into it; #1,359 of 6,854 by trust here, #3,893 by citations
- Statistics and Probability — 14 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Andrew D. Kern trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael G. B. Blum
- Fabrizio Sebastiani
- Geoffrey E. Hinton
- Yoshua Bengio
- J. Bronstein
- Yali Amit
- Yann LeCun
- S. Aeschbacher
- Rasmus Nielsen
- MARK A. Beaumont
Who trusts Andrew D. Kern overall
Papers from Andrew D. Kern's perspective
Ordered by how strongly the researchers Andrew D. Kern 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Comparative genomics of centrality and essentiality in three eukaryotic protein-interaction networks. (2005) — 655 citations
- Supervised Machine Learning for Population Genetics: A New Paradigm (2018) — 392 citations
- Efficient ancestry and mutation simulation with msprime 1.0 (2021) — 393 citations