G. Way
Molecular Biology · 2017–2018
A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 348 citations into it; #11,705 of 17,773 by trust here, #4,132 by citations
- Computer Vision and Pattern Recognition — 92 citations into it
- Cancer Research — 77 citations into it; #957 of 1,780 by trust here, #1,010 by citations
- Biophysics — 39 citations into it; #810 of 1,196 by trust here, #153 by citations
- Representation & Self-Supervised Learning — 19 citations into it
Whom G. Way trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pascal Vincent
- Yoshua Bengio
- Jing Wang
- Geoffrey E. Hinton
- Casey S. Greene
- Hugo Larochelle
- John N. Weinstein
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
Who trusts G. Way overall
- Gökçen Eraslan
- Suresh Dara
- Heba Askr
- George Adam
- Casey S. Greene
- Lukas M. Simon
- Swetha Dhamercherla
- Enas Elgeldawi
- Ladislav Rampášek
- Yibo Yang
Papers from G. Way's perspective
Ordered by how strongly the researchers G. Way 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Opportunities and obstacles for deep learning in biology and medicine (2017) — 2,030 citations
- Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas (2018) — 959 citations
- Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders (2017) — 260 citations
- Oncogenic Signaling Pathways in The Cancer Genome Atlas (2018) — 2,663 citations
- Evaluating deep variational autoencoders trained on pan-cancer gene expression (2017) — 15 citations