Namgil Lee
Computational Mathematics · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Mathematics — 100 citations into it
- Artificial Intelligence — 58 citations into it
- Computational Theory and Mathematics — 57 citations into it
- Computational Mechanics — 41 citations into it
- Signal Processing — 30 citations into it
- Atomic and Molecular Physics, and Optics — 27 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Mathematical Optimization — 12 citations into it
Whom Namgil Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan V. Oseledets
- Boris N. Khoromskij
- Lieven De Lathauwer
- Yurii E. Nesterov
- Guifré Vidal
- Daniel Kressner
- Lars Grasedyck
- Francis R. Bach
- Andrzej S. Cichocki
- Robert Tibshirani
Papers from Namgil Lee's perspective
Ordered by how strongly the researchers Namgil Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Regression Shrinkage and Selection via the Lasso
- Attention is All you Need (Neural Information Processing Systems)