Adrien Saumard

Statistics and Probability · 2014

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it; #5,920 of 12,932 by trust here, #7,165 by citations
• Applied Mathematics — 18 citations into it
• Artificial Intelligence — 13 citations into it; #16,288 of 35,345 by trust here, #25,040 by citations
• Computational Mechanics — 5 citations into it
• Mathematical Physics — 5 citations into it

Whom Adrien Saumard trusts overall

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

1. Guenther Walther
2. Alan L. Yuille
3. Oliver Johnson
4. Radford M. Neal
5. Sergey G. Bobkov
6. Cédric Villani
7. Gitta Kutyniok
8. E.J. Candes
9. Patrick Cattiaux
10. L. Lov'asz

Who trusts Adrien Saumard overall

1. Guillaume P. Dehaene
2. Jun Chen
3. Arnak S. Dalalyan
4. June Huh
5. Richard J. Samworth
6. Lijian Chen
7. Xiao Fang
8. Dengfeng Sun
9. Ilias Diakonikolas
10. Qiuwei Li

Papers from Adrien Saumard's perspective

Ordered by how strongly the researchers Adrien Saumard 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Log-Concavity and Strong Log-Concavity: a review (2014) — 330 citations