| Learning multiscale representations of natural scenes using Dirichlet processes JJ Kivinen, EB Sudderth, MI Jordan 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 101 | 2007 |
| Visual boundary prediction: A deep neural prediction network and quality dissection J Kivinen, C Williams, N Heess Artificial Intelligence and Statistics, 512-521, 2014 | 82 | 2014 |
| Transformation equivariant boltzmann machines JJ Kivinen, CKI Williams International Conference on Artificial Neural Networks, 1-9, 2011 | 54 | 2011 |
| Deep learning fundus image analysis for diabetic retinopathy and macular edema grading J Sahlsten, J Jaskari, J Kivinen, L Turunen, E Jaanio, K Hietala, K Kaski Scientific Reports 9 (10750), 2019 | 52 | 2019 |
| Multiple Texture Boltzmann Machines JJ Kivinen, CKI Williams International Conference on Artificial Intelligence and Statistics (AISTATS), 2012 | 47 | 2012 |
| Image denoising with nonparametric hidden Markov trees JJ Kivinen, EB Sudderth, MI Jordan 2007 IEEE International Conference on Image Processing 3, III-121-III-124, 2007 | 31 | 2007 |
| A novel variational autoencoder with applications to generative modelling, classification, and ordinal regression J Jaskari, J Kivinen arXiv preprint, 2018 | 2 | 2018 |
| Understanding regularization by virtual adversarial training, ladder networks and others M Abbas, J Kivinen, T Raiko Proc. Workshop Int. Conf. Learn. Representations, 2016 | 2 | 2016 |
| Statistical models for natural scene data JJ Kivinen University of Edinburgh, 2014 | 2 | 2014 |
Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk
