Praneeth Narayanamurthy

Computational Mechanics · 2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 16 citations into it; #4,705 of 10,001 by trust here, #6,877 by citations
• Applied Mathematics — 6 citations into it
• Artificial Intelligence — 6 citations into it
• Statistics and Probability — 6 citations into it; #10,037 of 12,932 by trust here, #11,487 by citations

Whom Praneeth Narayanamurthy trusts overall

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

1. Roman Vershynin
2. Bin Yang
3. E.J. Candes
4. Joel A. Tropp
5. Laura Balzano
6. Namrata Vaswani
7. Jiashi Feng
8. Jun He
9. Venkat Chandrasekaran

Who trusts Praneeth Narayanamurthy overall

1. Namrata Vaswani
2. Thierry Bouwmans
3. Liangzu Peng
4. Sajid Javed

Papers from Praneeth Narayanamurthy's perspective

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

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

Their papers

• Provable Dynamic Robust PCA or Robust Subspace Tracking (2017) — 59 citations
• Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery (2017) — 315 citations