Morten Mørup
Artificial Intelligence · 2010–2013
A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #18,739 of 35,345 by trust here, #25,040 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #14,550 of 21,575 by trust here, #18,782 by citations
- Signal Processing — 9 citations into it; #3,859 of 7,572 by trust here, #2,911 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Statistics and Probability — 6 citations into it
- Cognitive Neuroscience — 5 citations into it
- Computational Mathematics — 5 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Morten Mørup trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel D. Lee
- Anthony J. Bell
- Christian Bauckhage
- Julian Eggert
- Mark Newman
- Albert Y. Kim
- T. Landauer
- Terrence J. Sejnowski
- Christian Thurau
- Edgar Körner
Who trusts Morten Mørup overall
- Jaewon Yang
- Genping Zhao
- Chenyue Wu
- Jure Leskovec
- Xiuping Jia
- Christian Bauckhage
- C. Zhao
- Esteban G. Tabak
- Aditya Krishna Menon
Papers from Morten Mørup's perspective
Ordered by how strongly the researchers Morten Mørup trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Indexing by Latent Semantic Analysis
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
- Tensor Decompositions and Applications
Their papers
- Infinite multiple membership relational modeling for complex networks (2011) — 64 citations
- Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways (2013) — 62 citations
- Scalable Tensor Factorizations for Incomplete Data (2010) — 654 citations
- Archetypal analysis for machine learning (2010) — 207 citations