 | 2012 |
| 10 |  | Dilan Görür,
Levi Boyles,
Max Welling:
Scalable Inference on Kingman's Coalescent using Pair Similarity .
Journal of Machine Learning Research - Proceedings Track 22: 440-448 (2012) |
| 2010 |
| 9 |  | Dilan Görür,
Carl Edward Rasmussen:
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution.
J. Comput. Sci. Technol. 25(4): 653-664 (2010) |
| 2009 |
| 8 |  | Yee Whye Teh,
Dilan Görür:
Indian Buffet Processes with Power-law Behavior.
NIPS 2009: 1838-1846 |
| 7 |  | Katherine A. Heller,
Yee Whye Teh,
Dilan Görür:
Infinite Hierarchical Hidden Markov Models.
Journal of Machine Learning Research - Proceedings Track 5: 224-231 (2009) |
| 2008 |
| 6 |  | Jan Gasthaus,
Frank Wood,
Dilan Görür,
Yee Whye Teh:
Dependent Dirichlet Process Spike Sorting.
NIPS 2008: 497-504 |
| 5 |  | Dilan Görür,
Yee Whye Teh:
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering.
NIPS 2008: 521-528 |
| 2007 |
| 4 |  | Yee Whye Teh,
Dilan Görür,
Zoubin Ghahramani:
Stick-breaking Construction for the Indian Buffet Process.
Journal of Machine Learning Research - Proceedings Track 2: 556-563 (2007) |
| 3 |  | Dilan Görür:
Nonparametric Bayesian discrete latent variable models for unsupervised learning.
Berlin Institute of Technology 2007 |
| 2006 |
| 2 |  | Dilan Görür,
Frank Jäkel,
Carl Edward Rasmussen:
A choice model with infinitely many latent features.
ICML 2006: 361-368 |
| 2004 |
| 1 |  | Dilan Görür,
Carl Edward Rasmussen,
Andreas S. Tolias,
Fabian H. Sinz,
Nikos K. Logothetis:
Modelling Spikes with Mixtures of Factor Analysers.
DAGM-Symposium 2004: 391-398 |