Romain Hérault

Environmental Engineering · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Romain Hérault trusts overall

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

1. Eric Laloy
2. Diederik P. Kingma
3. Jasper A. Vrugt
4. Gregoire Mariethoz
5. Alec Radford
6. Nikolay Jetchev
7. Lukas Mosser
8. Jimmy Ba

Who trusts Romain Hérault overall

1. Chaopeng Shen
2. Yinhao Zhu
3. Shaoxing Mo

Papers from Romain Hérault's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
3. Improved Techniques for Training GANs
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Deep Learning
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Training‐Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network (2017) — 345 citations