Vicky Chen

Molecular Biology · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 13 citations into it

Whom Vicky Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Wolfram Liebermeister
3. Karthik Devarajan
4. Honglak Lee
5. David Posada

Papers from Vicky Chen's perspective

Ordered by how strongly the researchers Vicky Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. This PDF file includes: Materials and Methods
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Extracting and composing robust features with denoising autoencoders
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model (2016) — 96 citations
• Trans-species learning of cellular signaling systems with bimodal deep belief networks (2015) — 32 citations