Maryam Fazel
Computational Mechanics · 2001–2018
A researcher in the Science corpus: 9 papers; trusts 67 researchers and is trusted by 145 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 55 citations into it; #162 of 10,001 by trust here, #175 by citations
- Artificial Intelligence — 40 citations into it; #32,182 of 35,345 by trust here, #32,362 by citations
- Numerical Analysis — 26 citations into it; #163 of 3,586 by trust here, #111 by citations
- Computational Theory and Mathematics — 22 citations into it; #539 of 12,182 by trust here, #527 by citations
- Optimization & Training — 22 citations into it
- Reinforcement Learning — 22 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Control and Systems Engineering — 18 citations into it; #7,728 of 8,257 by trust here, #4,262 by citations
Whom Maryam Fazel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Yurii E. Nesterov
- Sham M. Kakade
- Dimitri P. Bertsekas
- E. Todorov
- Stephen P. Boyd
- Rick Chartrand
- Jan Peters
- Kim-Chuan Toh
- Roger A. Horn
Who trusts Maryam Fazel overall
- Prateek Jain
- B. Recht
- E.J. Candes
- Francis R. Bach
- Karthika Mohan
- Xiaoming Yuan
- Junfeng Yang
- David Paul Wipf
- Behnam Neyshabur
- Jieping Ye
Papers from Maryam Fazel's perspective
Ordered by how strongly the researchers Maryam Fazel 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A rank minimization heuristic with application to minimum order system approximation (2001) — 1,090 citations
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization (2007) — 3,954 citations
- Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices (2003) — 654 citations
- Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator (2018) — 718 citations
- Iterative reweighted algorithms for matrix rank minimization (2012) — 380 citations
- Portfolio optimization with linear and fixed transaction costs (2007) — 397 citations
- Hankel Matrix Rank Minimization with Applications to System Identification and Realization (2013) — 544 citations
- A Sparse Plus Low Rank Maximum Entropy Language Model (2012) — 10 citations
- Low Rank Language Models for Small Training Sets (2011) — 10 citations