Sergey Voronin

Computational Mechanics · 2016

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 13 citations into it
• Statistics and Probability — 12 citations into it
• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Signal Processing — 6 citations into it
• Computational Mathematics — 5 citations into it

Whom Sergey Voronin trusts overall

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

1. Max Kuhn
2. Gene H. Golub
3. Per-Gunnar Martinsson
4. Dimitri P. Bertsekas
5. C. Burges
6. Nathan Halko
7. Tamás Sarlós
8. Michael W. Mahoney
9. James Franklin
10. Vladimir Rokhlin

Who trusts Sergey Voronin overall

1. Thierry Bouwmans

Papers from Sergey Voronin's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions

Their papers

• Randomized Matrix Decompositions using R (2016) — 154 citations