Jan Larsen

Optimization & Training · 1996–2004

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 5 citations into it

Whom Jan Larsen trusts overall

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

1. M. Stone
2. S. Geisser
3. M. Pedersen
4. Hirotugu Akaike
5. David John Cameron MacKay
6. Yann LeCun
7. Shun-ichi Amari
8. Kurt Hornik
9. John S. Denker
10. Peter M. Williams

Who trusts Jan Larsen overall

1. Yoshua Bengio
2. Fabian Pedregosa
3. George Philipp
4. J. D. de Winter
5. Olivier Chapelle
6. Jelena Luketina
7. Dougal Maclaurin
8. Yihong Chen
9. Jaime G. Carbonell
10. Dimitra Dodou

Papers from Jan Larsen's perspective

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

1. Neural Networks for Pattern Recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
6. Attention is All you Need (Neural Information Processing Systems)
7. Optimal Brain Damage
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Detection of skin cancer by classification of Raman spectra (2004) — 304 citations
• Blind detection of independent dynamic components (2001) — 84 citations
• Adaptive Regularization in Neural Network Modeling (1996)