Dilan Görür

According to our database, Dilan Görür authored at least 19 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Is Forgetting Less a Good Inductive Bias for Forward Transfer?

Jiefeng Chen, Timothy Nguyen, Dilan Görür, Arslan Chaudhry

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Architecture Matters in Continual Learning.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

CoRR, 2022

Wide Neural Networks Forget Less Catastrophically.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

Proceedings of the International Conference on Machine Learning, 2022

2021

One Pass ImageNet.

Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Görür

CoRR, 2021

Wide Neural Networks Forget Less Catastrophically.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

CoRR, 2021

Linear Mode Connectivity in Multitask and Continual Learning.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs.

Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Hybrid Models with Deep and Invertible Features.

Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan

Proceedings of the 36th International Conference on Machine Learning, 2019

Do Deep Generative Models Know What They Don't Know?

Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan

Proceedings of the 7th International Conference on Learning Representations, 2019

2012

Scalable Inference on Kingman's Coalescent using Pair Similarity .

Dilan Görür, Levi Boyles, Max Welling

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2010

Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution.

Dilan Görür, Carl Edward Rasmussen

J. Comput. Sci. Technol., 2010

2009

Infinite Hierarchical Hidden Markov Models.

Katherine A. Heller, Yee Whye Teh, Dilan Görür

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Indian Buffet Processes with Power-law Behavior.

Yee Whye Teh, Dilan Görür

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering.

Dilan Görür, Yee Whye Teh

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Dependent Dirichlet Process Spike Sorting.

Jan Gasthaus, Frank D. Wood, Dilan Görür, Yee Whye Teh

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Nonparametric Bayesian discrete latent variable models for unsupervised learning.

Dilan Görür

PhD thesis, 2007

Stick-breaking Construction for the Indian Buffet Process.

Yee Whye Teh, Dilan Görür, Zoubin Ghahramani

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2006

A choice model with infinitely many latent features.

Dilan Görür, Frank Jäkel, Carl Edward Rasmussen

Proceedings of the Machine Learning, 2006

2004

Modelling Spikes with Mixtures of Factor Analysers.

Dilan Görür, Carl Edward Rasmussen, Andreas S. Tolias, Fabian H. Sinz, Nikos K. Logothetis

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004