D. Rouquié

Computer Vision and Pattern Recognition · 2006–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom D. Rouquié trusts

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

1. Simon Osindero (in Computer Vision and Pattern Recognition)

Papers from D. Rouquié's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Improved Training of Wasserstein GANs
3. Wasserstein GAN
4. Conditional Generative Adversarial Nets
5. Grammar Variational Autoencoder
6. Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
7. Gradient-based learning applied to document recognition
8. ImageNet classification with deep convolutional neural networks
9. Long Short-Term Memory
10. Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

Their papers

• Polar PIN Localization Directs Auxin Flow in Plants (2006) — 914 citations
• De novo generation of hit-like molecules from gene expression signatures using artificial intelligence (2018) — 343 citations