Nikhil S. Rao
Computational Mechanics · 2013–2016
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 14 citations into it
- Artificial Intelligence — 12 citations into it
- Statistics and Probability — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Nikhil S. Rao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Prateek Jain
- Guillaume Obozinski
- Robert Tibshirani
- Inderjit S. Dhillon
- Miao Xu
- Laurent Jacob
- Ming Yuan
- Francis R. Bach
- Sahand N. Negahban
- Pradeep Ravikumar
Who trusts Nikhil S. Rao overall
- Hsiang-Fu Yu
- Federico Monti
- Jinsung Yoon
- Yuhui Ding
- Bernie Wang
- Michael M. Bronstein
- Xiang Wang
- Jan Gasthaus
- Xiaoyong Jin
- Lijun Sun
Papers from Nikhil S. Rao's perspective
Ordered by how strongly the researchers Nikhil S. Rao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Regression Shrinkage and Selection via the Lasso
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction (2016) — 544 citations
- Collaborative Filtering with Graph Information: Consistency and Scalable Methods (2015) — 302 citations
- Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis (2013) — 74 citations