Florian Guitton

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 89 citations into it
• Privacy & Security — 34 citations into it
• Safety, Robustness & Interpretability — 27 citations into it
• Optimization & Training — 26 citations into it
• Sociology and Political Science — 9 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Florian Guitton trusts overall

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

1. Cynthia Dwork
2. L. Eon Bottou
3. H. Brendan McMahan
4. Jakub Konecný
5. Geoffrey E. Hinton
6. Reza Shokri
7. Kamalika Chaudhuri
8. Alex Krizhevsky
9. Craig Gentry
10. Latanya Sweeney

Papers from Florian Guitton's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Privacy preservation in federated learning: An insightful survey from the GDPR perspective (2020) — 368 citations