Ahmed El Ouadrhiri

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Privacy & Security — 30 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Statistics and Probability — 11 citations into it
• Sociology and Political Science — 9 citations into it
• Federated & Distributed Learning — 6 citations into it
• Algorithms & Complexity — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Ahmed El Ouadrhiri trusts overall

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

1. Cynthia Dwork
2. Ilya Mironov
3. Frank McSherry
4. Ran Canetti
5. Nevin Lianwen Zhang
6. Peter Kairouz
7. H. Brendan McMahan
8. Rakesh Agrawal
9. Ú. Erlingsson
10. Jaewoo Lee

Papers from Ahmed El Ouadrhiri's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Differential Privacy for Deep and Federated Learning: A Survey (2022) — 383 citations