Wolfgang Immanuel Schöllhorn

Artificial Intelligence · 2006–2018

A researcher in the Science corpus: 3 papers; 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 Wolfgang Immanuel Schöllhorn trusts overall

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

1. Tom Chau
2. Yann LeCun
3. Claude E. Shannon
4. Ulrich Hoffrage
5. Konrad Paul Kording
6. Christopher K. I. Williams

Who trusts Wolfgang Immanuel Schöllhorn overall

1. Keith Davids

Papers from Wolfgang Immanuel Schöllhorn's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Visualizing and Understanding Convolutional Networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Efficient BackProp
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
9. Support-Vector Networks
10. Long Short-Term Memory

Their papers

• Explaining the unique nature of individual gait patterns with deep learning (2018) — 255 citations
• The nonlinear nature of learning : a differential learning approach (2012) — 154 citations
• Does noise provide a basis for the unification of motor learning theories (2006) — 123 citations