Arash Ali Amini
Statistics and Probability · 2008–2017
A researcher in the Science corpus: 4 papers; trusts 73 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 41 citations into it; #11,421 of 12,932 by trust here, #6,552 by citations
- Artificial Intelligence — 25 citations into it; #8,288 of 35,345 by trust here, #16,471 by citations
- Statistical and Nonlinear Physics — 17 citations into it; #8,572 of 10,127 by trust here, #6,421 by citations
- Computational Mechanics — 13 citations into it; #1,811 of 10,001 by trust here, #3,652 by citations
- Probabilistic & Bayesian Methods — 11 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Causal Inference & Discovery — 9 citations into it
- Molecular Biology — 9 citations into it
Whom Arash Ali Amini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin J. Wainwright
- Michel Ledoux
- Ian T. Jolliffe
- Mark Newman
- Peter J. Bickel
- Iain M. Johnstone
- Peter Buhlmann
- Alexandre d'Aspremont
- Cun-Hui Zhang
- Hui Zou
Who trusts Arash Ali Amini overall
- Tommaso Cai
- Fang Han
- Xiao-Tong Yuan
- Jonas W. Mueller
- A. Alaoui
- Martin J. Wainwright
- Prem Gopalan
- Zongming Ma
- Aaron Fisher
- Yi Yu
Papers from Arash Ali Amini's perspective
Ordered by how strongly the researchers Arash Ali Amini 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)
- Gradient-based learning applied to document recognition
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- High-dimensional analysis of semidefinite relaxations for sparse principal components (2008) — 327 citations
- Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression (2015) — 47 citations
- Pseudo-likelihood methods for community detection in large sparse networks (2012) — 442 citations
- Variable Importance Using Decision Trees (2017) — 89 citations