Stefan Wrobel
Artificial Intelligence · 2001–2019
A researcher in the Science corpus: 9 papers; trusts 26 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #8,976 of 35,345 by trust here, #9,092 by citations
- Computer Vision and Pattern Recognition — 14 citations into it; #14,017 of 21,575 by trust here, #18,782 by citations
- Optimization & Training — 14 citations into it
- Signal Processing — 14 citations into it
- Information Systems — 13 citations into it; #1,565 of 8,771 by trust here, #2,145 by citations
- Geography, Planning and Development — 10 citations into it; #207 of 489 by trust here, #285 by citations
- Statistical Learning Theory — 9 citations into it; #263 of 1,038 by trust here, #236 by citations
- Computer Networks and Communications — 8 citations into it
Whom Stefan Wrobel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard Schölkopf
- Michael Collins
- Nicholas Kushmerick
- Bernhard E. Boser
- Vladimir Naumovich Vapnik
- Michihiro Kuramochi
- Grace Wahba
- Alex Smola
- Foster J. Provost
- Andrew McCallum
Who trusts Stefan Wrobel overall
- Karsten M. Borgwardt
- Nils M. Kriege
- Masashi Sugiyama
- S. V. N. Vishwanathan
- Saurabh Verma
- Nino Shervashidze
- Christopher Morris
- Pinar Yanardag
- Pierre Mahé
- Pinar Yanardag
Papers from Stefan Wrobel's perspective
Ordered by how strongly the researchers Stefan Wrobel 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- The Nature of Statistical Learning Theory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Cyclic pattern kernels for predictive graph mining (2004) — 377 citations
- Efficient co-regularised least squares regression (2006) — 179 citations
- A review of machine learning for the optimization of production processes (2019) — 304 citations
- Efficient Decentralized Deep Learning by Dynamic Model Averaging (2018) — 131 citations
- Visual Analytics of Movement (2013) — 321 citations
- Learning in Logic (2010) — 104 citations
- Visual analytics tools for analysis of movement data (2007) — 365 citations
- On Graph Kernels: Hardness Results and Efficient Alternatives (2003) — 1,062 citations
- Active Hidden Markov Models for Information Extraction (2001) — 675 citations