Simon Günter
Artificial Intelligence · 2007–2008
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #21,642 of 35,345 by trust here, #26,682 by citations
- Optimization & Training — 14 citations into it; #645 of 2,601 by trust here, #1,154 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Computational Mechanics — 5 citations into it; #5,921 of 10,001 by trust here, #6,877 by citations
Whom Simon Günter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Kevin P. Murphy
- Martin Fodslette Møller
- Choon Hui Teo
- Vojtech Franc
- Jorge Nocedal
- Galen Andrew
Who trusts Simon Günter overall
- Aryan Mokhtari
- Wei Xu
- Frank E. Curtis
- Adith Swaminathan
- Mark Eisen
- Alejandro Ribeiro
- Robert Mansel Gower
- Aurélien Lucchi
- Farbod Roosta-Khorasani
- Mert Pilanci
Papers from Simon Günter's perspective
Ordered by how strongly the researchers Simon Günter trusts endorse each paper. Same corpus, a different order for every researcher.
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- Large Margin Methods for Structured and Interdependent Output Variables
- Max-Margin Markov Networks
- 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
- Long Short-Term Memory
- Training linear SVMs in linear time
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning (2008) — 81 citations
- A Stochastic Quasi-Newton Method for Online Convex Optimization (2007) — 427 citations