Thomas L. Griffiths

2008
32	EE	Jing Xu, Thomas L. Griffiths: How memory biases affect information transmission: A rational analysis of serial reproduction. NIPS 2008: 1809-1816
31	EE	Thomas L. Griffiths, Chris Lucas, Joseph Williams, Michael L. Kalish: Modeling human function learning with Gaussian processes. NIPS 2008: 553-560
30	EE	Roger P. Levy, Florencia Reali, Thomas L. Griffiths: Modeling the effects of memory on human online sentence processing with particle filters. NIPS 2008: 937-944
29	EE	Joseph Austerweil, Thomas L. Griffiths: Analyzing human feature learning as nonparametric Bayesian inference. NIPS 2008: 97-104
28	EE	Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett: A rational model of preference learning and choice prediction by children. NIPS 2008: 985-992
27	EE	Kurt T. Miller, Thomas L. Griffiths, Michael I. Jordan: The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features. UAI 2008: 403-410
26	EE	Mike Dowman, Virginia Savova, Thomas L. Griffiths, Konrad P. Körding, Joshua B. Tenenbaum, Matthew Purver: A Probabilistic Model of Meetings That Combines Words and Discourse Features. IEEE Transactions on Audio, Speech & Language Processing 16(7): 1238-1248 (2008)
25	EE	Daniel J. Navarro, Thomas L. Griffiths: Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach. Neural Computation 20(11): 2597-2628 (2008)
2007
24	EE	Mark Johnson, Thomas L. Griffiths, Sharon Goldwater: Bayesian Inference for PCFGs via Markov Chain Monte Carlo. HLT-NAACL 2007: 139-146
23	EE	Alexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein: A Probabilistic Approach to Language Change. NIPS 2007
22	EE	Adam Sanborn, Thomas L. Griffiths: Markov Chain Monte Carlo with People. NIPS 2007
21	EE	Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum: Parametric Embedding for Class Visualization. Neural Computation 19(9): 2536-2556 (2007)
2006
20		Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda: Learning Systems of Concepts with an Infinite Relational Model. AAAI 2006
19	EE	Sharon Goldwater, Thomas L. Griffiths, Mark Johnson: Contextual Dependencies in Unsupervised Word Segmentation. ACL 2006
18	EE	Matthew Purver, Konrad P. Körding, Thomas L. Griffiths, Joshua B. Tenenbaum: Unsupervised Topic Modelling for Multi-Party Spoken Discourse. ACL 2006
17	EE	Daniel J. Navarro, Thomas L. Griffiths: A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments. NIPS 2006: 1033-1040
16	EE	Frank Wood, Thomas L. Griffiths: Particle Filtering for Nonparametric Bayesian Matrix Factorization. NIPS 2006: 1513-1520
15	EE	Mark Johnson, Thomas L. Griffiths, Sharon Goldwater: Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models. NIPS 2006: 641-648
14	EE	Frank Wood, Thomas L. Griffiths, Zoubin Ghahramani: A Non-Parametric Bayesian Method for Inferring Hidden Causes. UAI 2006
13	EE	Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum: Structured Priors for Structure Learning. UAI 2006
2004
12	EE	Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas L. Griffiths: Probabilistic author-topic models for information discovery. KDD 2004: 306-315
11	EE	Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum: Integrating Topics and Syntax. NIPS 2004
10	EE	Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum: Parametric Embedding for Class Visualization. NIPS 2004
9	EE	Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth: The Author-Topic Model for Authors and Documents. UAI 2004: 487-494
2003
8	EE	Thomas L. Griffiths, Joshua B. Tenenbaum: From Algorithmic to Subjective Randomness. NIPS 2003
7	EE	David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum: Hierarchical Topic Models and the Nested Chinese Restaurant Process. NIPS 2003
6	EE	Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum: Semi-Supervised Learning with Trees. NIPS 2003
2002
5	EE	Thomas L. Griffiths, Mark Steyvers: Prediction and Semantic Association. NIPS 2002: 11-18
4	EE	Joshua B. Tenenbaum, Thomas L. Griffiths: Theory-Based Causal Inference. NIPS 2002: 35-42
3	EE	David Danks, Thomas L. Griffiths, Joshua B. Tenenbaum: Dynamical Causal Learning. NIPS 2002: 67-74
2001
2	EE	Thomas L. Griffiths, Joshua B. Tenenbaum: Using Vocabulary Knowledge in Bayesian Multinomial Estimation. NIPS 2001: 1385-1392
2000
1		Joshua B. Tenenbaum, Thomas L. Griffiths: Structure Learning in Human Causal Induction. NIPS 2000: 59-65

Coauthor Index

1	Joseph Austerweil	[29]
2	David M. Blei	[7] [11]
3	Alexandre Bouchard-Côté	[23]
4	David Danks	[3]
5	Mike Dowman	[26]
6	Christine Fawcett	[28]
7	Zoubin Ghahramani	[14]
8	Sharon Goldwater	[15] [19] [24]
9	Tomoharu Iwata	[10] [21]
10	Mark Johnson	[15] [19] [24]
11	Michael I. Jordan	[7] [27]
12	Michael L. Kalish	[31]
13	Charles Kemp	[6] [13] [20]
14	Dan Klein	[23]
15	Konrad P. Körding	[18] [26]
16	Roger P. Levy	[30]
17	Percy Liang	[23]
18	Chris Lucas	[31]
19	Christopher G. Lucas	[28]
20	Vikash K. Mansinghka	[13]
21	Kurt T. Miller	[27]
22	Daniel J. Navarro	[17] [25]
23	Matthew Purver	[18] [26]
24	Florencia Reali	[30]
25	Michal Rosen-Zvi	[9] [12]
26	Kazumi Saito	[10] [21]
27	Adam Sanborn	[22]
28	Virginia Savova	[26]
29	Padhraic Smyth	[9] [12]
30	Mark Steyvers	[5] [9] [11] [12]
31	Sean Stromsten	[6] [10] [21]
32	Joshua B. Tenenbaum	[1] [2] [3] [4] [6] [7] [8] [10] [11] [13] [18] [20] [21] [26]
33	Naonori Ueda	[10] [20] [21]
34	Joseph Williams	[31]
35	Frank Wood	[14] [16]
36	Fei Xu	[28]
37	Jing Xu	[32]
38	Takeshi Yamada	[20]

Colors in the list of coauthors