Dilan Görür - RankMe

27 papers A* 6A 3Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing LLM Planning Capabilities through Intrinsic Self-Critique. CoRR Bernd Bohnet, Pierre-Alexandre Kamienny, Hanie Sedghi, Dilan Görür, Pranjal Awasthi, Aaron Parisi, Kevin Swersky, Rosanne Liu, Azade Nova, Noah Fiedel
2024	J	`jnl`	Finetuning Language Models to Emit Linguistic Expressions of Uncertainty. CoRR Arslan Chaudhry, Sridhar Thiagarajan, Dilan Görür
2024	J	`jnl`	Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
2023	A*	`conf`	Is Forgetting Less a Good Inductive Bias for Forward Transfer? ICLR Jiefeng Chen, Timothy Nguyen, Dilan Görür, Arslan Chaudhry
2023	J	`jnl`	Is forgetting less a good inductive bias for forward transfer? CoRR Jiefeng Chen, Timothy Nguyen, Dilan Görür, Arslan Chaudhry
2022	J	`jnl`	Architecture Matters in Continual Learning. CoRR Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2022	A*	`conf`	Wide Neural Networks Forget Less Catastrophically. ICML Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2021	A*	`conf`	Linear Mode Connectivity in Multitask and Continual Learning. ICLR Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh
2021	J	`jnl`	One Pass ImageNet. CoRR Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Görür
2021	J	`jnl`	Wide Neural Networks Forget Less Catastrophically. CoRR Seyed-Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2020	A*	`conf`	A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs. NeurIPS Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
2020	J	`jnl`	A maximum-entropy approach to off-policy evaluation in average-reward MDPs. CoRR Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
2020	J	`jnl`	Linear Mode Connectivity in Multitask and Continual Learning. CoRR Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh
2019	—	`conf`	Do Deep Generative Models Know What They Don't Know? ICLR (Poster) Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan
2019	A*	`conf`	Hybrid Models with Deep and Invertible Features. ICML Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan
2019	J	`jnl`	Hybrid Models with Deep and Invertible Features. CoRR Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan
2018	J	`jnl`	Do Deep Generative Models Know What They Don't Know? CoRR Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan
2012	A	`conf`	Scalable Inference on Kingman's Coalescent using Pair Similarity . AISTATS Dilan Görür, Levi Boyles, Max Welling
2010	J	`jnl`	Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution. J. Comput. Sci. Technol. Dilan Görür, Carl Edward Rasmussen
2009	—	`conf`	Indian Buffet Processes with Power-law Behavior. NIPS Yee Whye Teh, Dilan Görür
2009	A	`conf`	Infinite Hierarchical Hidden Markov Models. AISTATS Katherine A. Heller, Yee Whye Teh, Dilan Görür
2008	—	`conf`	An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering. NIPS Dilan Görür, Yee Whye Teh
2008	—	`conf`	Dependent Dirichlet Process Spike Sorting. NIPS Jan Gasthaus, Frank D. Wood, Dilan Görür, Yee Whye Teh
2007	—	`—`	Nonparametric Bayesian discrete latent variable models for unsupervised learning. Dilan Görür
2007	A	`conf`	Stick-breaking Construction for the Indian Buffet Process. AISTATS Yee Whye Teh, Dilan Görür, Zoubin Ghahramani
2006	A*	`conf`	A choice model with infinitely many latent features. ICML Dilan Görür, Frank Jäkel, Carl Edward Rasmussen
2004	—	`conf`	Modelling Spikes with Mixtures of Factor Analysers. DAGM-Symposium Dilan Görür, Carl Edward Rasmussen, Andreas S. Tolias, Fabian H. Sinz, Nikos K. Logothetis