Laurent Oudre

Statistics and Probability · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 61 citations into it
• Artificial Intelligence — 33 citations into it
• Economics and Econometrics — 24 citations into it
• Molecular Biology — 19 citations into it
• Signal Processing — 15 citations into it
• Finance — 13 citations into it
• Statistical Learning Theory — 9 citations into it
• Genetics — 8 citations into it

Whom Laurent Oudre trusts overall

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

1. Jushan Bai
2. Pierre Perron
3. Piotr Fryzlewicz
4. Marc Lavielle
5. Zaïd Harchaoui
6. Lawrence R. Rabiner
7. Robert Tibshirani
8. Zhongjun Qu
9. Rebecca Killick
10. Paul Fearnhead

Who trusts Laurent Oudre overall

1. Li Deng

Papers from Laurent Oudre's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Regression Shrinkage and Selection via the Lasso
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Long Short-Term Memory
10. Estimating the Dimension of a Model

Their papers

• Selective review of offline change point detection methods (2020) — 1,194 citations
• A review of change point detection methods (2018) — 204 citations
• Probabilistic Template-Based Chord Recognition (2011) — 24 citations