Céline Brouard

Artificial Intelligence · 2011–2016

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Molecular Biology — 10 citations into it
• Statistical Learning Theory — 9 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Céline Brouard trusts overall

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

1. Ioannis Tsochantaridis
2. Risi Kondor
3. Mikhail Belkin
4. Asa Ben-Hur
5. Yoshihiro Yamanishi
6. Corinna Cortes
7. B. Taskar
8. John D. Lafferty
9. Theodoros Evgeniou
10. Jean-Philippe Vert

Who trusts Céline Brouard overall

1. Hachem Kadri
2. Peng Wang
3. Marie Szafranski
4. Baowen Xu
5. Emmanuel Duflos

Papers from Céline Brouard's perspective

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

Their papers

• Input Output Kernel Regression (2016)
• Semi-supervised Penalized Output Kernel Regression for Link Prediction (2011) — 74 citations