Christoph Sommer
Molecular Biology · with Gerlich · 2011–2014
A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 26 citations into it; #5,118 of 17,773 by trust here, #15,203 by citations
- Biophysics — 22 citations into it; #149 of 1,196 by trust here, #411 by citations
- Computer Vision and Pattern Recognition — 18 citations into it; #6,452 of 21,575 by trust here, #9,079 by citations
- Artificial Intelligence — 7 citations into it
- Media Technology — 5 citations into it; #731 of 3,621 by trust here, #897 by citations
- Model Architectures — 5 citations into it
Whom Christoph Sommer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Radford M. Neal
- Vladimir Naumovich Vapni
- David Ruppert
- Ron Kohavi
- Pedro M. Domingos
- Thouis Raymond Jones
- Anne E Carpenter
- Michael V. Boland
- Trevor J. Hastie
Who trusts Christoph Sommer overall
- Andrey Kan
- Juan C. Caicedo
- Ilya Belevich
- Moritz Helmstaedter
- Oren Z. Kraus
- Anna Payne-Tobin Jost
- Fuyong Xing
- Merja Joensuu
- Carlos Arteta
- Brendan J. Frey
Papers from Christoph Sommer's perspective
Ordered by how strongly the researchers Christoph Sommer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- Ilastik: Interactive learning and segmentation toolkit (2011) — 1,233 citations
- Machine learning in cell biology – teaching computers to recognize phenotypes (2013) — 326 citations
- Fluorogenic probes for live-cell imaging of the cytoskeleton (2014) — 770 citations