Namrata Vaswani
Computational Mechanics · 2008–2017
A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 33 citations into it; #1,213 of 10,001 by trust here, #3,763 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Applied Mathematics — 8 citations into it
- Radiology, Nuclear Medicine and Imaging — 8 citations into it; #560 of 3,265 by trust here, #2,837 by citations
- Signal Processing — 8 citations into it
- Statistics and Probability — 8 citations into it; #10,033 of 12,932 by trust here, #11,487 by citations
- Biomedical Engineering — 7 citations into it; #730 of 10,734 by trust here, #7,279 by citations
- Artificial Intelligence — 6 citations into it
Whom Namrata Vaswani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Donoho
- E.J. Candes
- Joel A. Tropp
- Terence Tao
- Scott Shaobing Chen
- Laura Balzano
- Roman Vershynin
- Fernando De la Torre
- Praneeth Narayanamurthy
- Tianyi Zhou
Who trusts Namrata Vaswani overall
- M. Salman Asif
- Thierry Bouwmans
- Daniele Angelosante
- Janki Mehta
- Eric C. Hall
- Justin K. Romberg
- Mark A. Davenport
- Raja Giryes
- Liangzu Peng
- Juan Andrés Bazerque
Papers from Namrata Vaswani's perspective
Ordered by how strongly the researchers Namrata Vaswani trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- Modified-CS: Modifying compressive sensing for problems with partially known support (2009) — 561 citations
- Kalman filtered Compressed Sensing (2008) — 318 citations
- 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