Timothy N Rubin
TitleCited byYear
Statistical topic models for multi-label document classification
TN Rubin, A Chambers, P Smyth, M Steyvers
Machine learning 88 (1-2), 157-208, 2012
Topic models: A novel method for modeling couple and family text data.
DC Atkins, TN Rubin, M Steyvers, MA Doeden, BR Baucom, ...
Journal of family psychology 26 (5), 816, 2012
Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition
TN Rubin, O Koyejo, KJ Gorgolewski, MN Jones, RA Poldrack, T Yarkoni
PLoS computational biology 13 (10), e1005649, 2017
Dense distributions from sparse samples: improved gibbs sampling parameter estimators for LDA
Y Papanikolaou, JR Foulds, TN Rubin, G Tsoumakas
The Journal of Machine Learning Research 18 (1), 2058-2115, 2017
Graph‐theoretic properties of networks based on word association norms: implications for models of lexical semantic memory
TM Gruenenfelder, G Recchia, T Rubin, MN Jones
Cognitive science 40 (6), 1460-1495, 2016
Evidence of disturbances of deep levels of semantic cohesion within personal narratives in schizophrenia
JA Willits, T Rubin, MN Jones, KS Minor, PH Lysaker
Schizophrenia research 197, 365-369, 2018
Generalized correspondence-LDA models (GC-LDA) for identifying functional regions in the brain
T Rubin, OO Koyejo, MN Jones, T Yarkoni
Advances in neural information processing systems, 1118-1126, 2016
Organizing the space and behavior of semantic models
TN Rubin, B Kievit-Kylar, JA Willits, MN Jones
CogSci... Annual Conference of the Cognitive Science Society. Cognitive …, 2014
A topic model for movie choices and ratings
T Rubin, M Steyvers
Proceedings of International Conference on Cognitive Model, 2009
Modeling Tag Dependencies in Tagged Documents
TN Rubin, UC Irvine, A Holloway, P Smyth, M Steyvers
NIPS 2009 Applications for Topic Models Workshop, 2009
Spatiotemporal dynamics of the perception of dot displays
TN Rubin, CF Chubb, CE Wright, SA Wong, G Sperling
Journal of Vision 8 (6), 282-282, 2008
Hierarchical Bayesian Modeling of Individual Differences in Texture Discrimination
TN Rubin, MD Lee, CF Chubb
Proceedings of the 30th Annual Conference of the Cognitive Science Society, 0
Classification and Categorization in Machine Learning and Psychology
TN Rubin
University of California, Irvine, 2012
A Model of Concept Generalization and Feature Representation in Hierarchies
T Rubin, M Zeigenfuze, M Steyvers
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
Binary versus graded filters for selectively attending to dots of different contrasts
SA Drew, CF Chubb, T Ehrlich, T Rubin, G Sperling
Journal of Vision 8 (6), 881-881, 2008
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