| Stick-breaking construction for the Indian buffet process YW Teh, D Grür, Z Ghahramani Artificial Intelligence and Statistics, 556-563, 2007 | 316 | 2007 |
| Do deep generative models know what they don't know? E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan arXiv preprint arXiv:1810.09136, 2018 | 301 | 2018 |
| Dirichlet process gaussian mixture models: Choice of the base distribution D Görür, CE Rasmussen Journal of Computer Science and Technology 25 (4), 653-664, 2010 | 218 | 2010 |
| Indian buffet processes with power-law behavior Y Teh, D Gorur Advances in neural information processing systems 22, 1838-1846, 2009 | 124 | 2009 |
| A choice model with infinitely many latent features D Görür, F Jäkel, CE Rasmussen Proceedings of the 23rd international conference on Machine learning, 361-368, 2006 | 69 | 2006 |
| Sleep spindles detection using short time Fourier transform and neural networks D Gorur, U Halici, H Aydin, G Ongun, F Ozgen, K Leblebicioglu Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 65 | 2002 |
| Infinite hierarchical hidden Markov models K Heller, YW Teh, D Gorur Artificial intelligence and statistics, 224-231, 2009 | 58 | 2009 |
| Dependent Dirichlet process spike sorting J Gasthaus, F Wood, D Gorur, YW Teh Advances in neural information processing systems, 497-504, 2009 | 53 | 2009 |
| Concave-convex adaptive rejection sampling D Görür, YW Teh Journal of Computational and Graphical Statistics 20 (3), 670-691, 2011 | 43 | 2011 |
| Hybrid models with deep and invertible features E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan International Conference on Machine Learning, 4723-4732, 2019 | 41 | 2019 |
| An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering D Görür, YW Teh Advances in Neural Information Processing Systems 21, 521-528, 2009 | 32 | 2009 |
| Nonparametric Bayesian discrete latent variable models for unsupervised learning D Görür | 23 | 2007 |
| Modelling spikes with mixtures of factor analysers D Görür, CE Rasmussen, AS Tolias, F Sinz, NK Logothetis Joint Pattern Recognition Symposium, 391-398, 2004 | 16 | 2004 |
| Linear mode connectivity in multitask and continual learning SI Mirzadeh, M Farajtabar, D Gorur, R Pascanu, H Ghasemzadeh arXiv preprint arXiv:2010.04495, 2020 | 12 | 2020 |
| Scalable inference on Kingman’s coalescent using pair similarity D Gorur, L Boyles, M Welling Artificial Intelligence and Statistics, 440-448, 2012 | 12 | 2012 |
| Sleep spindles detection using autoregressive modeling D Görür, U Halici, H Aydin, G Ongun, F Ozgen, K Leblebicioglu Proceedings of the International Conference on Artificial Neural Networks …, 2003 | 12 | 2003 |
| Automated detection of sleep spindles D Görür Middle EastTechnical University, 2003 | 11 | 2003 |
| Nonparametric mixtures of factor analyzers D Gorur, CE Rasmussen Signal Processing and Communications Applications Conference, 2009. SIU 2009 …, 2009 | 10 | 2009 |
| A maximum-entropy approach to off-policy evaluation in average-reward MDPs N Lazic, D Yin, M Farajtabar, N Levine, D Gorur, C Harris, D Schuurmans arXiv preprint arXiv:2006.12620, 2020 | 6 | 2020 |
| Diverse personalization with determinantal point process eigenmixtures J Foulds, D Görür | 2 | 2013 |
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
