J. Wichard

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; 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 J. Wichard trusts

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

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

Papers from J. Wichard's perspective

Ordered by how strongly the researchers J. Wichard 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. Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
8. Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• De novo generation of hit-like molecules from gene expression signatures using artificial intelligence (2018) — 343 citations