Babak Alipanahi
Molecular Biology · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 79 citations into it; #2,284 of 17,773 by trust here, #2,009 by citations
- Genetics — 25 citations into it
- Artificial Intelligence — 8 citations into it
- Optimization & Training — 8 citations into it
Whom Babak Alipanahi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gary D. Stormo
- James Bergstra
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Barrett C. Foat
- Martin Kircher
- Alex Krizhevsky
- Ilya Sutskever
Who trusts Babak Alipanahi overall
- Daniel Quang
- Christof Angermueller
- Umut Eser
- Ritambhara Singh
- Oren Z. Kraus
- Jack Lanchantin
- Andrey Malinin
- Justin A. Sirignano
- Jie Jessie Ren
- Xiaohui S. Xie
Papers from Babak Alipanahi's perspective
Ordered by how strongly the researchers Babak Alipanahi 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
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning (2015) — 2,712 citations
- The human splicing code reveals new insights into the genetic determinants of disease (2014) — 1,219 citations
- Widespread intron retention in mammals functionally tunes transcriptomes (2014) — 630 citations