Christian Leibig

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #21,838 of 35,345 by trust here, #19,018 by citations
• Probabilistic & Bayesian Methods — 15 citations into it

Whom Christian Leibig trusts overall

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

1. Yarin Gal
2. J. Urgen Schmidhuber
3. Geoffrey E. Hinton
4. Zoubin Ghahramani
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Radford M. Neal
8. Alex Graves
9. Christopher K. I. Williams
10. Yann LeCun

Who trusts Christian Leibig overall

1. S. Murray
2. Matthias Hein
3. Lewis Smith
4. Sebastian Farquhar
5. Alexander Meinke
6. Sara Hooker
7. Yarin Gal
8. Tanya Nair
9. Nicolas Brosse
10. Alireza Mehrtash

Papers from Christian Leibig's perspective

Ordered by how strongly the researchers Christian Leibig 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Leveraging uncertainty information from deep neural networks for disease detection (2016) — 553 citations