Carlos Outeiral

Computational Theory and Mathematics · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 17 citations into it
• Artificial Intelligence — 11 citations into it
• Computational Chemistry & Drug Discovery — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Generative Models — 7 citations into it

Whom Carlos Outeiral trusts overall

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

1. Sepp Hochreiter
2. Matt J. Kusner
3. Ronald J. Williams
4. J. Urgen Schmidhuber
5. R. Ramakrishnan
6. Lars Ruddigkeit
7. Gabriel Lima Guimaraes

Who trusts Carlos Outeiral overall

1. Tomohide Masuda

Papers from Carlos Outeiral's perspective

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

1. Long Short-Term Memory
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Improved Techniques for Training GANs
8. Attention is All you Need (Neural Information Processing Systems)
9. Mastering the game of Go with deep neural networks and tree search
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Optimizing distributions over molecular space. An Objective-Reinforced Generative Adversarial Network for Inverse-design Chemistry (ORGANIC) (2017) — 287 citations