Hamed Karimi
Computational Mechanics · 2016
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 32 citations into it; #1,658 of 10,001 by trust here, #1,483 by citations
- Artificial Intelligence — 24 citations into it; #7,574 of 35,345 by trust here, #9,557 by citations
- Numerical Analysis — 17 citations into it
- Optimization & Training — 13 citations into it; #808 of 2,601 by trust here, #887 by citations
- Computational Theory and Mathematics — 12 citations into it
- Mathematical Physics — 9 citations into it; #1,487 of 8,562 by trust here, #722 by citations
Whom Hamed Karimi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Tseng
- Hui Zhang
- Yurii E. Nesterov
- Jérôme Bolte
- Francis R. Bach
- Hédy Attouch
- Rie Johnson
- Sashank J. Reddi
- Tong Zhang
- Zirui Zhou
Who trusts Hamed Karimi overall
- Nicolas Loizou
- Farzin Haddadpour
- Robert Mansel Gower
- Sharan Vaswani
- Yinjun Wu
- Mikhail Khodak
- Junchi Yang
- Hassan Mortagy
- Jian Zhang
- Lihua Lei
Papers from Hamed Karimi's perspective
Ordered by how strongly the researchers Hamed Karimi 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition (2016) — 1,544 citations