Prabhu Babu
Computational Mechanics · 2011–2017
A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 22 citations into it; #3,198 of 10,001 by trust here, #4,600 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Numerical Analysis — 11 citations into it; #1,030 of 3,586 by trust here, #1,061 by citations
- Computer Networks and Communications — 10 citations into it; #8,931 of 9,886 by trust here, #8,844 by citations
- Optimization & Training — 10 citations into it
- Signal Processing — 8 citations into it; #4,130 of 7,572 by trust here, #6,836 by citations
- Artificial Intelligence — 7 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Prabhu Babu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- P. Stoica
- R. Varadhan
- Jian Li
- Usik Lee
- Meisam Razaviyayn
- E.J. Candes
- Yurii E. Nesterov
- Ingrid Daubechies
- Robert Tibshirani
- Amir Beck
Who trusts Prabhu Babu overall
- Osvaldo Simeone
- Cunhua Pan
- Ying Sun
- Xianghao Yu
- Zai Yang
- Hong Ren
- Yimin D. Zhang
- Chongwen Huang
- Huayan Guo
- Khaled Ben Letaief
Papers from Prabhu Babu's perspective
Ordered by how strongly the researchers Prabhu Babu trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Optimization Methods for Designing Sequences With Low Autocorrelation Sidelobes (2014) — 341 citations
- Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning (2017) — 1,647 citations
- SPICE: A Sparse Covariance-Based Estimation Method for Array Processing (2011) — 572 citations