Markus Hegland

Acta Numerica · 2001–2011

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Markus Hegland trusts overall

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

1. William W. Cohen
2. Geoffrey I. Webb
3. Rayadurgam Srikant
4. Geoffrey J. McLachlan
5. Luc Devroye
6. B. Liu
7. Rakesh Agrawal
8. Tamara G. Kolda
9. Tobias Jahnke
10. J. Ross Quinlan

Papers from Markus Hegland's perspective

Ordered by how strongly the researchers Markus Hegland 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• On the numerical solution of the chemical master equation with sums of rank one tensors (2011) — 34 citations
• Data Mining Techniques (2001) — 921 citations