Pierre Machart

Artificial Intelligence · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #24,572 of 35,345 by trust here, #33,294 by citations

Whom Pierre Machart trusts overall

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

1. Dustin Boswell
2. B. Recht
3. Mark Rudelson
4. Olivier Bousquet
5. Koby Crammer
6. Kamalika Chaudhuri
7. Roman Vershynin
8. Yoram Singer
9. Andre´ Elisseeff
10. Sham M. Kakade

Who trusts Pierre Machart overall

1. Yinghai Ke
2. Jierong Cheng
3. Yuliya Tarabalka
4. Javier A. Montoya-Zegarra
5. Dheeru Dua
6. Lindi J. Quackenbush
7. Jagath Rajapakse
8. Serge Beucher
9. Juan C. Caicedo
10. Fernand Meyer

Papers from Pierre Machart's perspective

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

Their papers

• Morphological Segmentation (2009)
• Confusion Matrix Stability Bounds for Multiclass Classification (2012) — 31 citations