Laurent Gomez

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 12 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Laurent Gomez trusts overall

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

1. Ian J. Goodfellow
2. Cynthia Dwork
3. Ú. Erlingsson
4. Martín Abadi

Papers from Laurent Gomez's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Improved Training of Wasserstein GANs
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Deep Learning with Differential Privacy
8. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Conditional Generative Adversarial Nets

Their papers

• Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data (2019) — 118 citations