Raghunandan H. Keshavan
Artificial Intelligence · 2009–2023
A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 87 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Computational Mechanics — 34 citations into it; #751 of 10,001 by trust here, #1,141 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Signal Processing — 25 citations into it; #630 of 7,572 by trust here, #960 by citations
- Information Systems — 22 citations into it
- Statistical Learning Theory — 10 citations into it
- Computational Mathematics — 9 citations into it; #114 of 612 by trust here, #292 by citations
- Mathematical Optimization — 9 citations into it
Whom Raghunandan H. Keshavan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- B. Recht
- Alan Edelman
- Terence Tao
- Joel A. Tropp
- Yaniv Plan
- Ana-Diana Pop
- Kiryung Lee
- Andrea Montanari
- Sewoong Oh
Who trusts Raghunandan H. Keshavan overall
- Prateek Jain
- E.J. Candes
- Moritz Hardt
- Sahand N. Negahban
- Harald Steck
- Yu-Xiang Wang
- Bart Vandereycken
- Srinadh Bhojanapalli
- Yuejie Chi
- Martin J. Wainwright
Papers from Raghunandan H. Keshavan's perspective
Ordered by how strongly the researchers Raghunandan H. Keshavan 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)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Matrix completion from a few entries (2009) — 1,292 citations
- Recommender Systems with Generative Retrieval (2023) — 342 citations
- Matrix Completion from Noisy Entries (2009) — 744 citations
- A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion (2009) — 412 citations