Simon Mak

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 12 citations into it; #9,750 of 12,932 by trust here, #12,603 by citations
• Artificial Intelligence — 9 citations into it
• Computational Mechanics — 7 citations into it
• Numerical Analysis — 6 citations into it; #2,630 of 3,586 by trust here, #3,457 by citations

Whom Simon Mak trusts overall

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

1. G'abor J. Sz'ekely
2. Julien Mairal
3. Ilya M. Sobol
4. Maria L. Rizzo
5. Alan L. Yuille
6. Stephen Joe
7. Makoto Matsumoto
8. Frances Y. Kuo
9. Gilles Pagès
10. Josef Dick

Who trusts Simon Mak overall

1. V. Roshan Joseph

Papers from Simon Mak's perspective

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

Their papers

• Support points (2016) — 176 citations