Ali Jalali

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #21,117 of 35,345 by trust here, #25,809 by citations
• Statistics and Probability — 28 citations into it
• Computational Mechanics — 23 citations into it; #8,702 of 10,001 by trust here, #8,566 by citations
• Computer Vision and Pattern Recognition — 16 citations into it; #18,924 of 21,575 by trust here, #19,766 by citations
• Signal Processing — 12 citations into it
• Safety, Robustness & Interpretability — 9 citations into it
• Management Science and Operations Research — 8 citations into it; #6,545 of 11,946 by trust here, #7,262 by citations
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Ali Jalali trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Martin J. Wainwright
2. Sahand N. Negahban
3. Robert Tibshirani
4. Francis R. Bach
5. E.J. Candes
6. Alex Krizhevsky
7. Guillaume Obozinski
8. Berwin A. Turlach
9. B. Recht
10. Nicolai Meinshausen

Who trusts Ali Jalali overall

1. Yu Zhang
2. Lei Han
3. Yu Zhang
4. Daniel Hernández-Lobato
5. Sebastian Ruder
6. Yu Zhang
7. Qiang Yang
8. Pinghua Gong
9. Abhishek Kumar
10. Qiang Zhou

Papers from Ali Jalali's perspective

Ordered by how strongly the researchers Ali Jalali trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Hybrid Batch Bayesian Optimization (2012) — 77 citations
• A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference (2020) — 13 citations
• Low-rank matrix recovery from errors and erasures (2011) — 171 citations
• On Learning Discrete Graphical Models using Group-Sparse Regularization (2011) — 94 citations
• A Dirty Model for Multi-task Learning (2010) — 410 citations