Rajiv Kumar

Computational Mechanics · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 18 citations into it
• Geophysics — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Rajiv Kumar trusts overall

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

1. B. Recht
2. Nadia Kreimer
3. Daniel Trad
4. Michael W. Mahoney
5. Long Chen
6. Martin Stoll
7. Mauricio D. Sacchi
8. Felix J. Herrmann
9. A. Berkhout
10. Nathan Halko

Papers from Rajiv Kumar's perspective

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

1. Exact Matrix Completion via Convex Optimization
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
7. Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient matrix completion for seismic data reconstruction (2015) — 86 citations