Timothy Rubin

Evidence of disturbances of deep levels of semantic cohesion within personal narratives in schizophrenia. JA Willits, T Rubin, MN Jones, KS Minor, PH Lysaker (2017). Schizophrenia Research 197, 365-369. [PDF]

Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. Timothy N. Rubin, Oluwasanmi Koyejo, Krzysztof J Gorgolewski, Michael N Jones, Russell A Poldrack, Tal Yarkoni (2017). PLOS Computational Biology. [PDF]

Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA. Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas (2017). Journal of Machine Learning Research. [PDF]

Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain. Timothy N. Rubin, Oluwasanmi Koyejo, Michael N Jones, Tal Yarkoni (2016) Neural Information Processing Systems (NIPS). Barcelona, Spain. [PDF (Includes Supplement)]

Graph-Theoretic Properties of Networks Based on Word Association Norms: Implications for Models of Lexical Semantic Memory. Thomas M. Gruenenfelder, Gabriel Recchia, Timothy N. Rubin, Michael N. Jones (2015). Cognitive Science. [PDF]

Organizing the space and behavior of semantic models. Timothy N. Rubin, Brent Kievit-Kylar, Jon A. Willits, Michael N. Jones (2014). Proceedings of the 36th Annual Conference of the Cognitive Science Society. Quebec, Canada. [PDF]

Statistical Topic Models for Multi-Label Document Classification. Timothy N. Rubin, America Holloway, Padhraic Smyth, Mark Steyvers (2012). Machine Learning (Journal); Special issue on learning from multi-label data. [PDF]

Topic Models: A Novel Method for Modeling Couple and Family Text Data. David C. Atkins, Timothy N. Rubin, Mark Steyvers, Michelle A. Doeden, Brian R. Baucom, and Andrew Christensen (2012) Journal of Family Psychology. [PDF]

A Model of Concept Generalization and Feature Representation in Hierarchies. Timothy N. Rubin, Matthew D Zeigenfuse, Mark Steyvers (2011) Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Boston, MA. [PDF]

Modeling Tag Dependencies in Tagged Documents. Timothy N. Rubin, America Holloway, Padhraic Smyth, Mark Steyvers (2009) Modeling Tag Dependencies in Tagged Documents. Neural Information Processing Systems Conference, "Applications for Topic Models: Text and Beyond" Workshop. Vancouver, BC. [PDF]

A Topic Model For Movie Choices and Ratings. Timothy N. Rubin, Mark Steyvers (2009) 9th International Conference on Cognitive Modeling (ICCM). Manchester, UK. [PDF] [Supplementary Material]

Hierarchical Bayesian modeling of individual differences in texture discrimination
Timothy N. Rubin, Michael D Lee & Charles Chubb (2008) Proceedings of the 30th Annual Conference of the Cognitive Science Society. Washington, DC. [PDF]

Neurotopics: Unsupervised learning for discovering function regions of the brain. 45th Annual Meeting for the Society for Computers in Psychology - SCIP, 2015. Chicago, IL. November 19th, 2015. [Slideshow]

Statistical Topic Models for Multi-Label Document Classification. AI / Machine Learning Weekly Seminar. Donald Bren School of Information and Computer Sciences, UC Irvine. Jan 24th, 2011. [(]Slideshow]

Probabilistic Modeling of Human Choices and Preferences using Ratings Data. 42nd Annual Meeting of the Society for Mathematical Psychology. August 2nd, 2009. [Slideshow]

Timothy Rubin
main menu	Papers. Evidence of disturbances of deep levels of semantic cohesion within personal narratives in schizophrenia. JA Willits, T Rubin, MN Jones, KS Minor, PH Lysaker (2017). Schizophrenia Research 197, 365-369. [PDF] Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition. Timothy N. Rubin, Oluwasanmi Koyejo, Krzysztof J Gorgolewski, Michael N Jones, Russell A Poldrack, Tal Yarkoni (2017). PLOS Computational Biology. [PDF] Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA. Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas (2017). Journal of Machine Learning Research. [PDF] Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain. Timothy N. Rubin, Oluwasanmi Koyejo, Michael N Jones, Tal Yarkoni (2016) Neural Information Processing Systems (NIPS). Barcelona, Spain. [PDF (Includes Supplement)] Graph-Theoretic Properties of Networks Based on Word Association Norms: Implications for Models of Lexical Semantic Memory. Thomas M. Gruenenfelder, Gabriel Recchia, Timothy N. Rubin, Michael N. Jones (2015). Cognitive Science. [PDF] Organizing the space and behavior of semantic models. Timothy N. Rubin, Brent Kievit-Kylar, Jon A. Willits, Michael N. Jones (2014). Proceedings of the 36th Annual Conference of the Cognitive Science Society. Quebec, Canada. [PDF] Statistical Topic Models for Multi-Label Document Classification. Timothy N. Rubin, America Holloway, Padhraic Smyth, Mark Steyvers (2012). Machine Learning (Journal); Special issue on learning from multi-label data. [PDF] Topic Models: A Novel Method for Modeling Couple and Family Text Data. David C. Atkins, Timothy N. Rubin, Mark Steyvers, Michelle A. Doeden, Brian R. Baucom, and Andrew Christensen (2012) Journal of Family Psychology. [PDF] A Model of Concept Generalization and Feature Representation in Hierarchies. Timothy N. Rubin, Matthew D Zeigenfuse, Mark Steyvers (2011) Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Boston, MA. [PDF] Modeling Tag Dependencies in Tagged Documents. Timothy N. Rubin, America Holloway, Padhraic Smyth, Mark Steyvers (2009) Modeling Tag Dependencies in Tagged Documents. Neural Information Processing Systems Conference, "Applications for Topic Models: Text and Beyond" Workshop. Vancouver, BC. [PDF] A Topic Model For Movie Choices and Ratings. Timothy N. Rubin, Mark Steyvers (2009) 9th International Conference on Cognitive Modeling (ICCM). Manchester, UK. [PDF] [Supplementary Material] Hierarchical Bayesian modeling of individual differences in texture discrimination Timothy N. Rubin, Michael D Lee & Charles Chubb (2008) Proceedings of the 30th Annual Conference of the Cognitive Science Society. Washington, DC. [PDF] Presentations. Neurotopics: Unsupervised learning for discovering function regions of the brain. 45th Annual Meeting for the Society for Computers in Psychology - SCIP, 2015. Chicago, IL. November 19th, 2015. [Slideshow] Statistical Topic Models for Multi-Label Document Classification. AI / Machine Learning Weekly Seminar. Donald Bren School of Information and Computer Sciences, UC Irvine. Jan 24th, 2011. [(]Slideshow] Probabilistic Modeling of Human Choices and Preferences using Ratings Data. 42nd Annual Meeting of the Society for Mathematical Psychology. August 2nd, 2009. [Slideshow]
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