Alejandro Sánchez Guinea

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Alejandro Sánchez Guinea trusts overall

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

1. Reza Shokri
2. H. Brendan McMahan
3. Milad Nasr
4. Vitaly Shmatikov
5. Deepesh Data
6. Shiqi Shen
7. Dong Yin

Papers from Alejandro Sánchez Guinea's perspective

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

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

Their papers

• Enhancing Privacy via Hierarchical Federated Learning (2020) — 57 citations