Farzan Farnia

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it
• Artificial Intelligence — 8 citations into it; #18,547 of 35,345 by trust here, #31,361 by citations
• Statistical Learning Theory — 8 citations into it
• Optimization & Training — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Farzan Farnia trusts overall

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

1. Tong Zhang
2. Yasemin Altun
3. A. Rényi
4. M. Sion
5. Peter D. Grünwald
6. Ayse Erkan
7. Karthik Sridharan
8. Hanchuan Peng
9. Eric R. Ziegel
10. Gert R. G. Lanckriet

Who trusts Farzan Farnia overall

1. Jaeho Lee
2. Mehryar Mohri
3. Maxim Raginsky
4. Gary Sivek
5. Hamed Rahimian
6. Ananda Theertha Suresh
7. Soroosh Shafieezadeh-Abadeh

Papers from Farzan Farnia's perspective

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

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

Their papers

• A Minimax Approach to Supervised Learning (2016) — 120 citations