Francis Bach@mines Org

Statistical Learning Theory · 2007

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 6 citations into it; #461 of 1,038 by trust here, #539 by citations
• Artificial Intelligence — 5 citations into it

Whom Francis Bach@mines Org trusts overall

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

1. Bernhard Schölkopf
2. Alex Smola
3. Francis R. Bach
4. Michael I. Jordan

Who trusts Francis Bach@mines Org overall

1. Kenji Fukumizu
2. Arthur Gretton
3. Le Song
4. Krikamol Muandet
5. Francis R. Bach
6. Zaïd Harchaoui
7. Bharath K. Sriperumbudur
8. Chang Xu
9. Bernhard Schölkopf
10. Wacha Bounliphone

Papers from Francis Bach@mines Org's perspective

Ordered by how strongly the researchers Francis Bach@mines Org 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Statistical Consistency of Kernel Canonical Correlation Analysis (2007)