Ramon Matas Navarro

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 — 26 citations into it
• Federated & Distributed Learning — 15 citations into it
• Computational Mechanics — 6 citations into it

Whom Ramon Matas Navarro trusts overall

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

1. Kaiming He
2. Tian Li
3. Yann LeCun
4. H. Brendan McMahan
5. Alex Krizhevsky

Papers from Ramon Matas Navarro's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Federated Learning Based on Dynamic Regularization (2021) — 1,176 citations