Siegfried Wahl

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; #21,837 of 35,345 by trust here, #19,018 by citations
• Probabilistic & Bayesian Methods — 15 citations into it

Whom Siegfried Wahl trusts overall

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

1. Yarin Gal
2. J. Urgen Schmidhuber
3. Geoffrey E. Hinton

Who trusts Siegfried Wahl overall

1. S. Murray
2. Yarin Gal
3. Matthias Hein
4. Lewis Smith

Papers from Siegfried Wahl's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Rectified Linear Units Improve Restricted Boltzmann Machines
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Explaining and Harnessing Adversarial Examples
10. ImageNet: A large-scale hierarchical image database

Their papers

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