Frauke Friedrichs
Artificial Intelligence · 2005
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #9,411 of 35,345 by trust here, #20,377 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Statistical Learning Theory — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Frauke Friedrichs trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Sathiya Keerthi
- Olivier Chapelle
- Nikolaus Hansen
- Hans-Georg Beyer
- Gunnar Rätsch
- Holger Fröhlich
- Vladimir Naumovich Vapni
- Christopher K. I. Williams
- Andreas Ostermeier
- Bernhard Schölkopf
Who trusts Frauke Friedrichs overall
- Martin Wistuba
- M. Rafiei
- Nicolas Schilling
- Matthias Reif
- Daan Wierstra
- Péricles Barbosa C. de Miranda
- D. Orive
- Ruiming Liu
- Lars Schmidt-Thieme
- Hojjat Adeli
Papers from Frauke Friedrichs's perspective
Ordered by how strongly the researchers Frauke Friedrichs trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database