Yassine Laguel

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Federated & Distributed Learning — 8 citations into it

Whom Yassine Laguel trusts overall

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

1. Alec Go
2. Tian Li
3. Sepp Hochreiter
4. Mehryar Mohri
5. Gregory Cohen
6. Anastasia Koloskova
7. Maziar Sanjabi
8. Anit Kumar Sahu
9. J. Urgen Schmidhuber
10. Sebastian Caldas

Who trusts Yassine Laguel overall

1. Mang Ye
2. Xiuwen Fang

Papers from Yassine Laguel's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Et al

Their papers

• A Superquantile Approach to Federated Learning with Heterogeneous Devices (2021) — 28 citations