Nam H. Nguyen

Computational Mechanics · with Tran · 2008–2011

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 64 citations into it; #2,316 of 10,001 by trust here, #3,362 by citations
• Computer Vision and Pattern Recognition — 28 citations into it
• Statistics and Probability — 23 citations into it; #7,500 of 12,932 by trust here, #7,508 by citations
• Signal Processing — 20 citations into it; #6,599 of 7,572 by trust here, #6,836 by citations
• Applied Mathematics — 13 citations into it
• Biomedical Engineering — 13 citations into it; #1,978 of 10,734 by trust here, #6,773 by citations
• Artificial Intelligence — 11 citations into it
• Computer Networks and Communications — 7 citations into it

Whom Nam H. Nguyen trusts overall

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

1. E.J. Candes
2. Martin J. Wainwright
3. Michel Ledoux
4. Robert Tibshirani
5. Justin K. Romberg
6. Terence Tao
7. David L. Donoho
8. Joel A. Tropp
9. Jarvis D. Haupt
10. Béatrice Laurent

Who trusts Nam H. Nguyen overall

1. Kush Bhatia
2. Prateek Jain
3. Purushottam Kar
4. Trac Duy Tran
5. Parameswaran Kamalaruban
6. Jacob Steinhardt
7. Stanislav Minsker
8. Ran He
9. Ilias Diakonikolas
10. Dan Alistarh

Papers from Nam H. Nguyen's perspective

Ordered by how strongly the researchers Nam H. Nguyen 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. Decoding by linear programming
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Robust Lasso With Missing and Grossly Corrupted Observations (2011) — 168 citations
• Exact Recoverability From Dense Corrupted Observations via $\ell _{1}$-Minimization (2011) — 123 citations
• Sparsity adaptive matching pursuit algorithm for practical compressed sensing (2008) — 580 citations
• Fast and Efficient Compressive Sensing Using Structurally Random Matrices (2011) — 377 citations