Angelika Rohde

Statistics and Probability · 2009

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 18 citations into it; #2,069 of 12,932 by trust here, #3,411 by citations
• Computational Mechanics — 17 citations into it; #1,341 of 10,001 by trust here, #2,942 by citations
• Artificial Intelligence — 10 citations into it; #6,733 of 35,345 by trust here, #15,004 by citations
• Statistical Learning Theory — 9 citations into it
• Computer Networks and Communications — 8 citations into it
• Signal Processing — 5 citations into it

Whom Angelika Rohde trusts overall

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

1. Alexandre B. Tsybakov
2. E.J. Candes
3. Sara A. van de Geer
4. B. Recht
5. Andreas Argyriou
6. Joel A. Tropp
7. Karim Lounici
8. Massimiliano Pontil
9. Sahand N. Negahban
10. Martin J. Wainwright

Who trusts Angelika Rohde overall

1. Sahand N. Negahban
2. Karim Lounici
3. Florentina Bunea
4. Martin J. Wainwright
5. Tommaso Cai
6. Vladimir Koltchinskii
7. Mark A. Davenport
8. Yiyuan She
9. Marten H. Wegkamp
10. Alekh Agarwal

Papers from Angelika Rohde's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Estimation of high-dimensional low-rank matrices (2009) — 404 citations