Publications
D. Görür and Y.W. Teh, Concave convex adaptive rejection sampling, Journal of Computational and Graphical Statistics, (to appear). jcgs
D. Görür and C.E. Rasmussen, Dirichlet process Gaussian mixture models: Choice of the base distribution, Journal of Computer Science and Technology, 25(4): 653-664, 2010.pdf springer
Y.W. Teh and D. Görür, Indian Buffet Processes with Power-law Behavior, in Advances in Neural Information Processing Systems, 2010. pdf
D. Görür and Y.W. Teh, Efficient sequential Monte Carlo for inference on Kingman's Coalescent, Seventh Workshop on Bayesian Nonparametrics, Turin, Italy, 2009.
K. Heller, Y.W. Teh and D. Görür, Infinite hierarchical hidden Markov models, in Proceedings of AISTATS, 2009.pdf
D. Görür and C.E. Rasmussen, Parametrik olmayan etmen cozumlemesi karisimlari, in Proceedings of SIU (in Turkish), 2009.pdf
D. Görür and Y.W. Teh, An efficient sequential Monte Carlo algorithm for coalescent clustering, in Advances in Neural Information Processing Systems, 2009. pdf
J. Gasthaus, F. Wood, D. Görür, and Y. W. Teh, Dependent Dirichlet process spike sorting, in Advances in Neural Information Processing Systems, 2009. pdf
D. Görür and Y.W. Teh, Concave convex adaptive rejection sampling, Technical Report, Gatsby Computational Neuroscience Unit, 2008. pdf
D. Görür and Y.W. Teh, A sequential Monte Carlo algorithm for coalescent clustering. Nonparametric Bayes Workshop, ICML/UAI, 2008. pdf
D. Görür, Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning. PhD thesis, TU Berlin, April 2007. pdf
Y.W. Teh, D. Görür, and Z. Ghahramani, Stick-breaking construction for the Indian buffet process, in Proceedings of AISTATS, 2007. pdf
D. Görür and C.E. Rasmussen, Dirichlet process mixtures of factor analysers, Fifth Workshop on Bayesian Inference in Stochastic Processes, 2007.
D. Görür and C.E. Rasmussen, Sampling for non-conjugate infinite latent feature models. 8th Valencia International Meeting on Bayesian Statistics, 2006.
D. Görür and C.E. Rasmussen, MCMC inference in (conditionally) conjugate Dirichlet process Gaussian mixture models, ICML Workshop on Learning with Nonparametric Bayesian Methods, 2006.
D. Görür, F. Jaekel, and C.E. Rasmussen, A choice model with infinitely many features, in Proceedings of ICML, 2006. pdf
D. Görür, C.E. Rasmussen, A.S. Tolias, F. Sinz, and N.K. Logothetis, Modelling spikes with mixtures of factor analysers, in Proceedings of DAGM, 2004. pdf
D. Görür, U. Halici, H. Aydin, G. Ongun, F. Ozgen, and K. Leblebicioglu, Sleep spindles detecton using autoregressive modeling, in Proceedings of ICANN, 2003. pdf
D. Görür, U. Halici, H. Aydin, G. Ongun, F. Ozgen, and K. Leblebicioglu, Parametrik modelleme ile uyku igciklerinin yerilerinin belirlenmesi, in Proceedings of SIU (in Turkish), 2003. pdf
D. Görür, Automated detection of sleep spindles, MSc thesis, Middle East Technical University, 2003. pdf
D. Görür, U. Halici, H. Aydin, G. Ongun, F. Ozgen, and K. Leblebicioglu, Sleep spindles detection using short time Fourier transform and neural networks, in Proceedings of IJCNN, 2002. pdf
D. Görür, U. Halici, H. Aydin, G. Ongun, F. Ozgen, and K. Leblebicioglu, Kisa zamanli Fourier donusumu ve yapay sinir aglari kullanarak uyku igciklerinin sezimi, in Proceedings of SIU (in Turkish), 2002. pdf