Robert Hannah

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #20,584 of 35,345 by trust here, #27,551 by citations
• Computational Mechanics — 15 citations into it; #5,580 of 10,001 by trust here, #7,173 by citations
• Optimization & Training — 15 citations into it
• Computer Networks and Communications — 5 citations into it; #5,168 of 9,886 by trust here, #7,140 by citations
• Statistics and Probability — 5 citations into it; #7,699 of 12,932 by trust here, #9,233 by citations

Whom Robert Hannah trusts overall

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

1. B. Recht
2. Zhimin Peng
3. Stephen J. Wright
4. Ji Liu
5. Christopher R'e
6. Wotao Yin
7. Dimitri P. Bertsekas
8. Yurii E. Nesterov
9. Yangyang Xu
10. Haim Avron

Who trusts Robert Hannah overall

1. Dmitry Grishchenko
2. Tianyu Wu
3. Wotao Yin
4. Tao Sun
5. Franck Iutzeler
6. Kun Yuan
7. Jérôme Malick
8. Qing Ling
9. Massih-Reza Amini

Papers from Robert Hannah's perspective

Ordered by how strongly the researchers Robert Hannah 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. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Et al

Their papers

• Asynchronous Coordinate Descent under More Realistic Assumptions (2017) — 77 citations
• More Iterations per Second, Same Quality - Why Asynchronous Algorithms may Drastically Outperform Traditional Ones (2017) — 19 citations
• On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms (2016) — 58 citations