Fabian Horst

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Fabian Horst trusts overall

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

1. Tom Chau
2. Yann LeCun
3. Christopher K. I. Williams
4. Charles M. Bishop
5. Geoffrey E. Hinton
6. K. Müller
7. Yoshua Bengio
8. Alex Krizhevsky
9. Vladimir Naumovich Vapnik
10. Corinna Cortes

Who trusts Fabian Horst overall

1. Wojciech Samek
2. Grgoire Montavon

Papers from Fabian Horst's perspective

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

Their papers

• Explaining the unique nature of individual gait patterns with deep learning (2018) — 255 citations