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Dilan Gorur
Dilan Gorur
DeepMind
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Title
Cited by
Cited by
Year
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
4552018
Stick-breaking construction for the Indian buffet process
YW Teh, D Grür, Z Ghahramani
Artificial intelligence and statistics, 556-563, 2007
3292007
Dirichlet process gaussian mixture models: Choice of the base distribution
D Görür, C Edward Rasmussen
Journal of Computer Science and Technology 25 (4), 653-664, 2010
2532010
Indian buffet processes with power-law behavior
Y Teh, D Gorur
Advances in neural information processing systems 22, 2009
1242009
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
702002
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
682006
Infinite hierarchical hidden Markov models
K Heller, YW Teh, D Gorur
Artificial intelligence and statistics, 224-231, 2009
602009
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
562019
Dependent Dirichlet process spike sorting
J Gasthaus, F Wood, D Gorur, Y Teh
Advances in neural information processing systems 21, 2008
512008
Concave-convex adaptive rejection sampling
D Görür, YW Teh
Journal of Computational and Graphical Statistics 20 (3), 670-691, 2011
502011
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
D Görür, YW Teh
Advances in Neural Information Processing Systems 21, 521-528, 2009
332009
Linear mode connectivity in multitask and continual learning
SI Mirzadeh, M Farajtabar, D Gorur, R Pascanu, H Ghasemzadeh
arXiv preprint arXiv:2010.04495, 2020
322020
Nonparametric Bayesian discrete latent variable models for unsupervised learning
D Görür
242007
Modelling spikes with mixtures of factor analysers
D Görür, CE Rasmussen, AS Tolias, F Sinz, NK Logothetis
Joint Pattern Recognition Symposium, 391-398, 2004
142004
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
132003
Automated detection of sleep spindles
D Görür
A Thesis Submıtted To The Graduate School Of Natural And Applied Sciences Of …, 2003
122003
Scalable inference on Kingman’s coalescent using pair similarity
D Gorur, L Boyles, M Welling
Artificial Intelligence and Statistics, 440-448, 2012
102012
Nonparametric mixtures of factor analyzers
D Gorur, CE Rasmussen
Signal Processing and Communications Applications Conference, 2009. SIU 2009 …, 2009
102009
Wide neural networks forget less catastrophically
SI Mirzadeh, A Chaudhry, D Yin, H Hu, R Pascanu, D Gorur, M Farajtabar
International Conference on Machine Learning, 15699-15717, 2022
82022
Architecture matters in continual learning
SI Mirzadeh, A Chaudhry, D Yin, T Nguyen, R Pascanu, D Gorur, ...
arXiv preprint arXiv:2202.00275, 2022
62022
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