Mark Borgerding

Computational Mechanics · 2016

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 15 citations into it; #5,976 of 10,001 by trust here, #7,501 by citations
• Computer Vision and Pattern Recognition — 14 citations into it; #13,616 of 21,575 by trust here, #18,266 by citations
• Signal Processing — 9 citations into it
• Computer Networks and Communications — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Mark Borgerding trusts overall

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

1. Ali Mousavi
2. Diederik P. Kingma
3. David L. Donoho
4. Karol Gregor
5. Yann LeCun
6. Uwe Schmidt
7. Ulugbek S. Kamilov
8. Kaiming He
9. Jimmy Ba
10. Geoffrey E. Hinton

Who trusts Mark Borgerding overall

1. Jian Zhang
2. Chaoyun Zhang
3. Zhonghao Zhang
4. Tianlong Chen
5. Bernard Ghanem
6. Paul Patras
7. Yipeng Liu
8. Xiaohan Chen

Papers from Mark Borgerding's perspective

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

Their papers

• AMP-Inspired Deep Networks for Sparse Linear Inverse Problems (2016) — 428 citations