Mónica Ribero

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Privacy & Security — 19 citations into it
• Information Systems — 11 citations into it
• Management Science and Operations Research — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Mónica Ribero trusts overall

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

1. Frank McSherry
2. Yehuda Koren
3. Steffen Rendle
4. H. Brendan McMahan
5. Kobbi Nissim
6. Cynthia Dwork
7. George Papandreou
8. Julian McAuley
9. Yifan Hu
10. Bradley N. Miller

Who trusts Mónica Ribero overall

1. Rodolfo Stoffel Antunes
2. Chen Chen

Papers from Mónica Ribero's perspective

Ordered by how strongly the researchers Mónica Ribero 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Federating Recommendations Using Differentially Private Prototypes (2020) — 47 citations
• Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning (2020) — 14 citations