Ricardo Silveira Cabral

Statistics and Probability · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 24 citations into it
• Computational Mechanics — 12 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Ricardo Silveira Cabral trusts overall

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

1. E.J. Candes
2. Takeo Kanade
3. Carlo Tomasi
4. Raghunandan H. Keshavan
5. Fernando De la Torre
6. Qifa Ke
7. Jian-Feng Cai
8. Zhouchen Lin
9. Paolo Favaro
10. Jun He

Who trusts Ricardo Silveira Cabral overall

1. M. Tabellini
2. Lu Jiang
3. Thierry Bouwmans
4. Yuan Xie
5. Deyu Meng
6. Andrews Cordolino Sobral

Papers from Ricardo Silveira Cabral's perspective

Ordered by how strongly the researchers Ricardo Silveira Cabral 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition (2013) — 205 citations
• Robust Regression (2014) — 463 citations