Ion Necoara
Computational Mechanics · 2004–2016
A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 23 citations into it; #2,184 of 10,001 by trust here, #3,362 by citations
- Artificial Intelligence — 22 citations into it; #9,422 of 35,345 by trust here, #16,471 by citations
- Optimization & Training — 16 citations into it; #1,886 of 2,601 by trust here, #1,766 by citations
- Mathematical Optimization — 14 citations into it
- Numerical Analysis — 14 citations into it; #667 of 3,586 by trust here, #681 by citations
- Computational Theory and Mathematics — 8 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Mathematical Physics — 6 citations into it
Whom Ion Necoara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Po-Wei Wang
- Zhi-Quan Tom Luo
- Paul Tseng
- Peter Richtárik
- Chih-Jen Lin
- Angelia Nedić
- Martin Takác
- D. Leventhal
- Zhaosong Lu
Who trusts Ion Necoara overall
- Sebastian U. Stich
- Nicolas Loizou
- Wei Ren
- Virginia Smith
- Chenxin Ma
- Inês Almeida
- Dimos V. Dimarogonas
- Yongcan Cao
- Shusen Wang
- Fulvio Forni
Papers from Ion Necoara's perspective
Ordered by how strongly the researchers Ion Necoara 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)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Linear convergence of first order methods for non-strongly convex optimization (2015) — 409 citations
- Parallel Random Coordinate Descent Method for Composite Minimization: Convergence Analysis and Error Bounds (2016) — 78 citations
- Linear convergence of first order methods under weak nondegeneracy assumptions for convex programming (2015) — 9 citations
- Distributed dual gradient methods and error bound conditions (2014) — 15 citations
- Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances (2004) — 648 citations