L. Churchman
Molecular Biology · 2011–2017
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 43 citations into it; #5,537 of 17,773 by trust here, #10,864 by citations
- Artificial Intelligence — 5 citations into it
Whom L. Churchman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Babak Alipanahi
- David R. Kelley
- Alex Krizhevsky
- Geoffrey E. Hinton
- Christof Angermueller
- Sheng Wang
- Yann LeCun
- Sergey Ioffe
- Ilya Sutskever
Who trusts L. Churchman overall
- Matthew H. Larson
- Răzvan V. Chereji
- Lei S. Qi
- Luke A. Gilbert
- Srinivas Ramachandran
- Umut Eser
- Terri D. Bryson
- Jonathan S. Weissman
Papers from L. Churchman's perspective
Ordered by how strongly the researchers L. Churchman 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- 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)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Nascent transcript sequencing visualizes transcription at nucleotide resolution (2011) — 831 citations
- The code and beyond: transcription regulation by the RNA polymerase II carboxy-terminal domain (2017) — 418 citations
- FIDDLE: An integrative deep learning framework for functional genomic data inference (2016) — 18 citations