Kai Brügge

Probabilistic & Bayesian Methods · 2013

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 8 citations into it
• Artificial Intelligence — 7 citations into it; #27,542 of 35,347 by trust here, #31,365 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #16,881 of 21,572 by trust here, #19,764 by citations

Whom Kai Brügge trusts overall

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

1. Geoffrey E. Hinton
2. Paul Smolensky
3. David John Cameron MacKay
4. Yoshua Bengio
5. Radford M. Neal
6. Kyunghyun Cho
7. Ruslan Salakhutdinov
8. Tijmen Tieleman
9. Guillaume Desjardins
10. Alex Krizhevsky

Who trusts Kai Brügge overall

1. Asja Fischer
2. Sarah Monazam Erfani
3. Sutharshan Rajasegarar
4. Decebal Constantin Mocanu

Papers from Kai Brügge's perspective

Ordered by how strongly the researchers Kai Brügge 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The flip-the-state transition operator for restricted Boltzmann machines (2013) — 22 citations