Anders Christian Hansen
Computer Vision and Pattern Recognition · 2008–2019
A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
- Mathematical Physics — 11 citations into it; #7,496 of 8,562 by trust here, #7,431 by citations
- Artificial Intelligence — 10 citations into it
- Computational Mechanics — 10 citations into it
- Computational Theory and Mathematics — 7 citations into it; #10,390 of 12,182 by trust here, #10,901 by citations
- Atomic and Molecular Physics, and Optics — 6 citations into it
- Biomedical Engineering — 5 citations into it
Whom Anders Christian Hansen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E. Davies
- Uffe Haagerup
- Lloyd N. Trefethen
- Hanne Schultz
- Michael Plum
- Nils Dencker
- Albrecht Böttcher
- 採編典藏組
- C. Bender
- E. Shargorodsky
Who trusts Anders Christian Hansen overall
Papers from Anders Christian Hansen's perspective
Ordered by how strongly the researchers Anders Christian Hansen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Intriguing properties of neural networks
- Learning Deep Features for Scene Recognition using Places Database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Γ and B
- Gradient-based learning applied to document recognition
- Brown measures of unbounded operators affiliated with a finite von Neumann algebra
Their papers
- On instabilities of deep learning in image reconstruction and the potential costs of AI (2019) — 736 citations
- On the Solvability Complexity Index, the n-pseudospectrum and approximations of spectra of operators (2011) — 122 citations
- On the approximation of spectra of linear operators on Hilbert spaces (2008) — 102 citations