Thomas L. Griffiths - Publications

University of California, Berkeley, Berkeley, CA 

151 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Callaway F, van Opheusden B, Gul S, Das P, Krueger PM, Lieder F, Griffiths TL. Rational use of cognitive resources in human planning. Nature Human Behaviour. PMID 35484209 DOI: 10.1038/s41562-022-01332-8  0.646
2022 Callaway F, Jain YR, van Opheusden B, Das P, Iwama G, Gul S, Krueger PM, Becker F, Griffiths TL, Lieder F. Leveraging artificial intelligence to improve people's planning strategies. Proceedings of the National Academy of Sciences of the United States of America. 119: e2117432119. PMID 35294284 DOI: 10.1073/pnas.2117432119  0.621
2022 Hardy MD, Krafft PM, Thompson B, Griffiths TL. Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations. Topics in Cognitive Science. PMID 35032363 DOI: 10.1111/tops.12596  0.723
2021 Milli S, Lieder F, Griffiths TL. A rational reinterpretation of dual-process theories. Cognition. 217: 104881. PMID 34536658 DOI: 10.1016/j.cognition.2021.104881  0.654
2021 Gates V, Callaway F, Ho MK, Griffiths TL. A rational model of people's inferences about others' preferences based on response times. Cognition. 217: 104885. PMID 34454336 DOI: 10.1016/j.cognition.2021.104885  0.785
2021 Krafft PM, Shmueli E, Griffiths TL, Tenenbaum JB, Pentland AS. Bayesian collective learning emerges from heuristic social learning. Cognition. 212: 104469. PMID 33770743 DOI: 10.1016/j.cognition.2020.104469  0.52
2021 Thompson B, Griffiths TL. Human biases limit cumulative innovation. Proceedings. Biological Sciences. 288: 20202752. PMID 33715436 DOI: 10.1098/rspb.2020.2752  0.732
2021 Jansen RA, Rafferty AN, Griffiths TL. A rational model of the Dunning-Kruger effect supports insensitivity to evidence in low performers. Nature Human Behaviour. PMID 33633375 DOI: 10.1038/s41562-021-01057-0  0.748
2020 Bourgin DD, Abbott JT, Griffiths TL. Recommendation as generalization: Using big data to evaluate cognitive models. Journal of Experimental Psychology. General. PMID 33271043 DOI: 10.1037/xge0000995  0.497
2020 Rafferty AN, Jansen RA, Griffiths TL. Assessing Mathematics Misunderstandings via Bayesian Inverse Planning. Cognitive Science. 44: e12900. PMID 33063866 DOI: 10.1111/cogs.12900  0.753
2020 Lieder F, Griffiths TL. Advancing rational analysis to the algorithmic level. The Behavioral and Brain Sciences. 43: e27. PMID 32159501 DOI: 10.1017/S0140525X19002012  0.692
2020 Ho M, Abel D, Cohen J, Littman M, Griffiths T. People Do Not Just Plan,They Plan to Plan Proceedings of the Aaai Conference On Artificial Intelligence. 34: 1300-1307. DOI: 10.1609/aaai.v34i02.5485  0.777
2020 Alon N, Cohen JD, Griffiths TL, Manurangsi P, Reichman D, Shinkar I, Wagner T, Yu A. Multitasking Capacity: Hardness Results and Improved Constructions Siam Journal On Discrete Mathematics. 34: 885-903. DOI: 10.1137/18m1224672  0.385
2019 Dubey R, Griffiths TL. Reconciling novelty and complexity through a rational analysis of curiosity. Psychological Review. PMID 31868394 DOI: 10.1037/Rev0000175  0.556
2019 Austerweil JL, Sanborn S, Griffiths TL. Learning How to Generalize. Cognitive Science. 43: e12777. PMID 31446666 DOI: 10.1111/cogs.12777  0.696
2019 Lieder F, Chen OX, Krueger PM, Griffiths TL. Cognitive prostheses for goal achievement. Nature Human Behaviour. PMID 31427788 DOI: 10.1038/S41562-019-0672-9  0.784
2019 Hsu AS, Martin JB, Sanborn AN, Griffiths TL. Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. Behavior Research Methods. PMID 30761464 DOI: 10.3758/S13428-019-01201-9  0.738
2019 Lieder F, Griffiths TL. Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources. The Behavioral and Brain Sciences. 1-85. PMID 30714890 DOI: 10.1017/S0140525X1900061X  0.702
2019 Jupyter P, Blank D, Bourgin D, Brown A, Bussonnier M, Frederic J, Granger B, Griffiths T, Hamrick J, Kelley K, Pacer M, Page L, Pérez F, Ragan-Kelley B, Suchow J, et al. nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook Journal of Open Source Education. 2: 32. DOI: 10.21105/JOSE.00032  0.743
2019 Ho MK, Abel D, Griffiths TL, Littman ML. The value of abstraction Current Opinion in Behavioral Sciences. 29: 111-116. DOI: 10.1016/J.Cobeha.2019.05.001  0.75
2019 Griffiths TL, Callaway F, Chang MB, Grant E, Krueger PM, Lieder F. Doing more with less: meta-reasoning and meta-learning in humans and machines Current Opinion in Behavioral Sciences. 29: 24-30. DOI: 10.1016/J.Cobeha.2019.01.005  0.799
2018 Peterson JC, Abbott JT, Griffiths TL. Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations. Cognitive Science. PMID 30178468 DOI: 10.1111/cogs.12670  0.555
2018 Lieder F, Shenhav A, Musslick S, Griffiths TL. Rational metareasoning and the plasticity of cognitive control. Plos Computational Biology. 14: e1006043. PMID 29694347 DOI: 10.1371/Journal.Pcbi.1006043  0.721
2018 Griffiths TL, Daniels D, Austerweil JL, Tenenbaum JB. Subjective randomness as statistical inference. Cognitive Psychology. 103: 85-109. PMID 29524679 DOI: 10.1016/j.cogpsych.2018.02.003  0.757
2017 Lieder F, Griffiths TL. Strategy selection as rational metareasoning. Psychological Review. 124: 762-794. PMID 29106268 DOI: 10.1037/rev0000075  0.715
2017 Lieder F, Griffiths TL, Hsu M. Overrepresentation of Extreme Events in Decision Making Reflects Rational Use of Cognitive Resources. Psychological Review. PMID 29035078 DOI: 10.1037/Rev0000074  0.694
2017 Gopnik A, O'Grady S, Lucas CG, Griffiths TL, Wente A, Bridgers S, Aboody R, Fung H, Dahl RE. Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood. Proceedings of the National Academy of Sciences of the United States of America. PMID 28739917 DOI: 10.1073/Pnas.1700811114  0.665
2017 Lieder F, Griffiths TL, M Huys QJ, Goodman ND. The anchoring bias reflects rational use of cognitive resources. Psychonomic Bulletin & Review. PMID 28484952 DOI: 10.3758/S13423-017-1286-8  0.775
2017 Lieder F, Griffiths TL, M Huys QJ, Goodman ND. Empirical evidence for resource-rational anchoring and adjustment. Psychonomic Bulletin & Review. PMID 28484951 DOI: 10.3758/S13423-017-1288-6  0.766
2017 Shenhav A, Musslick S, Lieder F, Kool W, Griffiths TL, Cohen JD, Botvinick MM. Toward a Rational and Mechanistic Account of Mental Effort. Annual Review of Neuroscience. PMID 28375769 DOI: 10.1146/Annurev-Neuro-072116-031526  0.714
2017 Bramley NR, Dayan P, Griffiths TL, Lagnado DA. Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning. Psychological Review. PMID 28240922 DOI: 10.1037/rev0000061  0.519
2016 Austerweil JL, Griffiths TL, Palmer SE. Learning to Be (In)variant: Combining Prior Knowledge and Experience to Infer Orientation Invariance in Object Recognition. Cognitive Science. PMID 28000944 DOI: 10.1111/cogs.12466  0.73
2016 Ruggeri A, Lombrozo T, Griffiths TL, Xu F. Sources of developmental change in the efficiency of information search. Developmental Psychology. 52: 2159-2173. PMID 27893251 DOI: 10.1037/Dev0000240  0.641
2016 Abbott JT, Griffiths TL, Regier T. Focal colors across languages are representative members of color categories. Proceedings of the National Academy of Sciences of the United States of America. PMID 27647896 DOI: 10.1073/Pnas.1513298113  0.514
2016 Hamrick JB, Battaglia PW, Griffiths TL, Tenenbaum JB. Inferring mass in complex scenes by mental simulation. Cognition. 157: 61-76. PMID 27592412 DOI: 10.1016/J.Cognition.2016.08.012  0.791
2016 Griffiths TL, Abbott JT, Hsu AS. Exploring Human Cognition Using Large Image Databases. Topics in Cognitive Science. 8: 569-88. PMID 27489200 DOI: 10.1111/tops.12209  0.547
2016 Cibelli E, Xu Y, Austerweil JL, Griffiths TL, Regier T. The Sapir-Whorf Hypothesis and Probabilistic Inference: Evidence from the Domain of Color. Plos One. 11: e0158725. PMID 27434643 DOI: 10.1371/Journal.Pone.0158725  0.726
2016 Hsu A, Griffiths TL. Sampling Assumptions Affect Use of Indirect Negative Evidence in Language Learning. Plos One. 11: e0156597. PMID 27310576 DOI: 10.1371/journal.pone.0156597  0.38
2016 Eaves BS, Feldman NH, Griffiths TL, Shafto P. Infant-Directed Speech Is Consistent With Teaching. Psychological Review. PMID 27088361 DOI: 10.1037/Rev0000031  0.684
2016 Hsu AS, Horng A, Griffiths TL, Chater N. When Absence of Evidence Is Evidence of Absence: Rational Inferences From Absent Data. Cognitive Science. PMID 26946380 DOI: 10.1111/cogs.12356  0.338
2015 Bridgers S, Buchsbaum D, Seiver E, Griffiths TL, Gopnik A. Children's Causal Inferences From Conflicting Testimony and Observations. Developmental Psychology. PMID 26569562 DOI: 10.1037/A0039830  0.563
2015 Rafferty AN, Brunskill E, Griffiths TL, Shafto P. Faster Teaching via POMDP Planning. Cognitive Science. PMID 26400190 DOI: 10.1111/Cogs.12290  0.796
2015 Griffiths TL, Lieder F, Goodman ND. Rational use of cognitive resources: levels of analysis between the computational and the algorithmic. Topics in Cognitive Science. 7: 217-29. PMID 25898807 DOI: 10.1111/Tops.12142  0.76
2015 Goodman ND, Frank MC, Griffiths TL, Tenenbaum JB, Battaglia PW, Hamrick JB. Relevant and robust: a response to Marcus and Davis (2013). Psychological Science. 26: 539-41. PMID 25749699 DOI: 10.1177/0956797614559544  0.785
2015 Lucas CG, Griffiths TL, Williams JJ, Kalish ML. A rational model of function learning. Psychonomic Bulletin & Review. PMID 25732094 DOI: 10.3758/S13423-015-0808-5  0.681
2015 Abbott JT, Austerweil JL, Griffiths TL. Random walks on semantic networks can resemble optimal foraging. Psychological Review. 122: 558-69. PMID 25642588 DOI: 10.1037/a0038693  0.747
2015 Buchsbaum D, Griffiths TL, Plunkett D, Gopnik A, Baldwin D. Inferring action structure and causal relationships in continuous sequences of human action. Cognitive Psychology. 76: 30-77. PMID 25527974 DOI: 10.1016/J.Cogpsych.2014.10.001  0.611
2015 Yeung S, Griffiths TL. Identifying expectations about the strength of causal relationships. Cognitive Psychology. 76: 1-29. PMID 25522277 DOI: 10.1016/j.cogpsych.2014.11.001  0.373
2015 Rafferty AN, LaMar MM, Griffiths TL. Inferring learners' knowledge from their actions. Cognitive Science. 39: 584-618. PMID 25155381 DOI: 10.1111/Cogs.12157  0.788
2015 Hamrick JB, Smith KA, Griffiths TL, Vul E. Think again? The amount of mental simulation tracks uncertainty in the outcome Cognitive Science. DOI: 10.6084/M9.Figshare.1554893.V1  0.786
2015 Gopnik A, Griffiths TL, Lucas CG. When Younger Learners Can Be Better (or at Least More Open-Minded) Than Older Ones Current Directions in Psychological Science. 24: 87-92. DOI: 10.1177/0963721414556653  0.667
2015 Hu J, Lucas CG, Griffiths TL, Xu F. Preschoolers' understanding of graded preferences Cognitive Development. 36: 93-102. DOI: 10.1016/J.Cogdev.2015.09.012  0.508
2015 Rafferty AN, Griffiths TL. Interpreting freeform equation solving Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9112: 387-397. DOI: 10.1007/978-3-319-19773-9_39  0.708
2015 Sanborn AN, Griffiths TL. Exploring the structure of mental representations by implementing computer algorithms with people Cognitive Modeling in Perception and Memory: a Festschrift For Richard M. Shiffrin. 212-228.  0.653
2014 Bonawitz E, Denison S, Gopnik A, Griffiths TL. Win-Stay, Lose-Sample: a simple sequential algorithm for approximating Bayesian inference. Cognitive Psychology. 74: 35-65. PMID 25086501 DOI: 10.1016/J.Cogpsych.2014.06.003  0.623
2014 Kirby S, Griffiths T, Smith K. Iterated learning and the evolution of language. Current Opinion in Neurobiology. 28: 108-14. PMID 25062470 DOI: 10.1016/J.Conb.2014.07.014  0.775
2014 Rafferty AN, Zaharia M, Griffiths TL. Optimally designing games for behavioural research. Proceedings. Mathematical, Physical, and Engineering Sciences / the Royal Society. 470: 20130828. PMID 25002821 DOI: 10.1098/Rspa.2013.0828  0.781
2014 Bonawitz E, Denison S, Griffiths TL, Gopnik A. Probabilistic models, learning algorithms, and response variability: sampling in cognitive development. Trends in Cognitive Sciences. 18: 497-500. PMID 25001609 DOI: 10.1016/J.Tics.2014.06.006  0.6
2014 Lucas CG, Griffiths TL, Xu F, Fawcett C, Gopnik A, Kushnir T, Markson L, Hu J. The child as econometrician: a rational model of preference understanding in children. Plos One. 9: e92160. PMID 24667309 DOI: 10.1371/Journal.Pone.0092160  0.694
2014 Rafferty AN, Griffiths TL, Klein D. Analyzing the rate at which languages lose the influence of a common ancestor. Cognitive Science. 38: 1406-31. PMID 24646114 DOI: 10.1111/Cogs.12112  0.768
2014 Shafto P, Goodman ND, Griffiths TL. A rational account of pedagogical reasoning: teaching by, and learning from, examples. Cognitive Psychology. 71: 55-89. PMID 24607849 DOI: 10.1016/J.Cogpsych.2013.12.004  0.787
2014 Lucas CG, Bridgers S, Griffiths TL, Gopnik A. When children are better (or at least more open-minded) learners than adults: developmental differences in learning the forms of causal relationships. Cognition. 131: 284-99. PMID 24566007 DOI: 10.1016/J.Cognition.2013.12.010  0.673
2014 Vul E, Goodman N, Griffiths TL, Tenenbaum JB. One and done? Optimal decisions from very few samples. Cognitive Science. 38: 599-637. PMID 24467492 DOI: 10.1111/Cogs.12101  0.704
2014 Canini KR, Griffiths TL, Vanpaemel W, Kalish ML. Revealing human inductive biases for category learning by simulating cultural transmission. Psychonomic Bulletin & Review. 21: 785-93. PMID 24395094 DOI: 10.3758/S13423-013-0556-3  0.8
2014 Lieder F, Plunkett D, Hamrick JB, Russell SJ, Hay NJ, Griffiths TL. Algorithm selection by rational metareasoning as a model of human strategy selection Advances in Neural Information Processing Systems. 4: 2870-2878.  0.769
2013 Austerweil JL, Griffiths TL. A nonparametric Bayesian framework for constructing flexible feature representations. Psychological Review. 120: 817-51. PMID 24219850 DOI: 10.1037/a0034194  0.696
2013 Feldman NH, Griffiths TL, Goldwater S, Morgan JL. A role for the developing lexicon in phonetic category acquisition. Psychological Review. 120: 751-78. PMID 24219848 DOI: 10.1037/A0034245  0.372
2013 Rafferty AN, Griffiths TL, Ettlinger M. Greater learnability is not sufficient to produce cultural universals. Cognition. 129: 70-87. PMID 23831566 DOI: 10.1016/J.Cognition.2013.05.003  0.765
2013 Williams JJ, Griffiths TL. Why are people bad at detecting randomness? A statistical argument. Journal of Experimental Psychology. Learning, Memory, and Cognition. 39: 1473-90. PMID 23607677 DOI: 10.1037/a0032397  0.554
2013 Feldman NH, Myers EB, White KS, Griffiths TL, Morgan JL. Word-level information influences phonetic learning in adults and infants. Cognition. 127: 427-38. PMID 23562941 DOI: 10.1016/J.Cognition.2013.02.007  0.34
2013 Xu J, Dowman M, Griffiths TL. Cultural transmission results in convergence towards colour term universals. Proceedings. Biological Sciences / the Royal Society. 280: 20123073. PMID 23486436 DOI: 10.1098/Rspb.2012.3073  0.329
2013 Sanborn AN, Mansinghka VK, Griffiths TL. Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review. 120: 411-37. PMID 23458084 DOI: 10.1037/a0031912  0.677
2013 Denison S, Bonawitz E, Gopnik A, Griffiths TL. Rational variability in children's causal inferences: the Sampling Hypothesis. Cognition. 126: 285-300. PMID 23200511 DOI: 10.1016/J.Cognition.2012.10.010  0.573
2013 Schlerf JE, Xu J, Klemfuss NM, Griffiths TL, Ivry RB. Individuals with cerebellar degeneration show similar adaptation deficits with large and small visuomotor errors. Journal of Neurophysiology. 109: 1164-73. PMID 23197450 DOI: 10.1152/Jn.00654.2011  0.31
2013 Abbott JT, Hamrick JB, Griffiths TL. Approximating Bayesian inference with a sparse distributed memory system Cognitive Science. 35. DOI: 10.6084/M9.Figshare.768509.V1  0.805
2013 Hamrick JB, Battaglia PW, Griffiths TL, Tenenbaum JB. Inferring mass in complex physical scenes via probabilistic simulation Cognitive Science. DOI: 10.6084/M9.Figshare.768445.V1  0.755
2013 Pacer M, Williams J, Chen X, Lombrozo T, Griffiths TL. Evaluating computational models of explanation using human judgments Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 498-507.  0.776
2013 Jia Y, Abbott J, Austerweil J, Griffiths T, Darrell T. Visual concept learning: Combining machine vision and Bayesian generalization on concept hierarchies Advances in Neural Information Processing Systems 0.674
2012 Bonawitz E, Gopnik A, Denison S, Griffiths TL. Rational randomness: the role of sampling in an algorithmic account of preschooler's causal learning. Advances in Child Development and Behavior. 43: 161-91. PMID 23205411 DOI: 10.1016/B978-0-12-397919-3.00006-X  0.626
2012 Griffiths TL, Chater N, Norris D, Pouget A. How the Bayesians got their beliefs (and what those beliefs actually are): comment on Bowers and Davis (2012). Psychological Bulletin. 138: 415-22. PMID 22545687 DOI: 10.1037/A0026884  0.384
2012 Martin JB, Griffiths TL, Sanborn AN. Testing the efficiency of Markov chain Monte Carlo with People using facial affect categories. Cognitive Science. 36: 150-62. PMID 21972923 DOI: 10.1111/J.1551-6709.2011.01204.X  0.761
2012 Griffiths TL, Vul E, Sanborn AN. Bridging Levels of Analysis for Probabilistic Models of Cognition Current Directions in Psychological Science. 21: 263-268. DOI: 10.1177/0963721412447619  0.677
2012 Griffiths TL, Tenenbaum JB, Kemp C. Bayesian Inference The Oxford Handbook of Thinking and Reasoning. DOI: 10.1093/oxfordhb/9780199734689.013.0003  0.601
2012 Goodman ND, Tenenbaum JB, Griffiths TL, Feldman J. Compositionality in rational analysis: Grammar-based induction for concept learning The Probabilistic Mind: Prospects For Bayesian Cognitive Science. DOI: 10.1093/acprof:oso/9780199216093.003.0017  0.69
2012 Griffiths TL, Sanborn AN, Canini KR, Navarro DJ. Categorization as nonparametric Bayesian density estimation The Probabilistic Mind: Prospects For Bayesian Cognitive Science. DOI: 10.1093/acprof:oso/9780199216093.003.0014  0.751
2012 Griffiths TL, Austerweil JL. Bayesian generalization with circular consequential regions Journal of Mathematical Psychology. 56: 281-285. DOI: 10.1016/  0.696
2012 Lieder F, Griffiths TL, Goodman ND. Burn-in, bias, and the rationality of anchoring Advances in Neural Information Processing Systems. 4: 2690-2698.  0.721
2012 Abbott JT, Austerweil JL, Griffiths TL. Human memory search as a random walk in a semantic network Advances in Neural Information Processing Systems. 4: 3041-3049.  0.674
2011 Griffiths TL, Sobel DM, Tenenbaum JB, Gopnik A. Bayes and blickets: effects of knowledge on causal induction in children and adults. Cognitive Science. 35: 1407-55. PMID 21972897 DOI: 10.1111/J.1551-6709.2011.01203.X  0.697
2011 Austerweil JL, Griffiths TL. A rational model of the effects of distributional information on feature learning. Cognitive Psychology. 63: 173-209. PMID 21937008 DOI: 10.1016/j.cogpsych.2011.08.002  0.696
2011 Griffiths TL, Tenenbaum JB. Predicting the future as Bayesian inference: people combine prior knowledge with observations when estimating duration and extent. Journal of Experimental Psychology. General. 140: 725-43. PMID 21875247 DOI: 10.1037/a0024899  0.521
2011 Xu F, Griffiths TL. Probabilistic models of cognitive development: towards a rational constructivist approach to the study of learning and development. Cognition. 120: 299-301. PMID 21723437 DOI: 10.1016/j.cognition.2011.06.008  0.38
2011 Tenenbaum JB, Kemp C, Griffiths TL, Goodman ND. How to grow a mind: statistics, structure, and abstraction. Science (New York, N.Y.). 331: 1279-85. PMID 21393536 DOI: 10.1126/Science.1192788  0.771
2011 Buchsbaum D, Gopnik A, Griffiths TL, Shafto P. Children's imitation of causal action sequences is influenced by statistical and pedagogical evidence. Cognition. 120: 331-40. PMID 21338983 DOI: 10.1016/J.Cognition.2010.12.001  0.737
2011 Perfors A, Tenenbaum JB, Griffiths TL, Xu F. A tutorial introduction to Bayesian models of cognitive development. Cognition. 120: 302-21. PMID 21269608 DOI: 10.1016/j.cognition.2010.11.015  0.58
2011 Austerweil JL, Griffiths TL. Seeking confirmation is rational for deterministic hypotheses Cognitive Science. 35: 499-526. DOI: 10.1111/j.1551-6709.2010.01161.x  0.696
2011 Chater N, Goodman N, Griffiths TL, Kemp C, Oaksford M, Tenenbaum JB. The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science Behavioral and Brain Sciences. 34: 194-196. DOI: 10.1017/S0140525X11000239  0.74
2011 Rafferty AN, Brunskill E, Griffiths TL, Shafto P. Faster teaching by POMDP planning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6738: 280-287. DOI: 10.1007/978-3-642-21869-9_37  0.757
2011 Austerweil JL, Friesen AL, Griffiths TL. An ideal observer model for identifying the reference frame of objects Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 0.674
2011 Abbott JT, Heller KA, Ghahramani Z, Griffiths TL. Testing a Bayesian measure of representativeness using a large image database Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 0.432
2011 Pacer MD, Griffiths TL. A rational model of causal induction with continuous causes Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 0.778
2011 Canini KR, Griffiths TL. A nonparametric Bayesian model of multi-level category learning Proceedings of the National Conference On Artificial Intelligence. 1: 307-312.  0.799
2011 Griffiths TL, Ghahramani Z. The Indian buffet process: An introduction and review Journal of Machine Learning Research. 12: 1185-1224.  0.43
2010 Lucas CG, Griffiths TL. Learning the form of causal relationships using hierarchical bayesian models. Cognitive Science. 34: 113-47. PMID 21564208 DOI: 10.1111/J.1551-6709.2009.01058.X  0.565
2010 Sanborn AN, Griffiths TL, Navarro DJ. Rational approximations to rational models: alternative algorithms for category learning. Psychological Review. 117: 1144-67. PMID 21038975 DOI: 10.1037/A0020511  0.725
2010 Frank MC, Goldwater S, Griffiths TL, Tenenbaum JB. Modeling human performance in statistical word segmentation. Cognition. 117: 107-25. PMID 20832060 DOI: 10.1016/J.Cognition.2010.07.005  0.671
2010 Shi L, Griffiths TL, Feldman NH, Sanborn AN. Exemplar models as a mechanism for performing Bayesian inference. Psychonomic Bulletin & Review. 17: 443-64. PMID 20702863 DOI: 10.3758/PBR.17.4.443  0.761
2010 Griffiths TL, Chater N, Kemp C, Perfors A, Tenenbaum JB. Probabilistic models of cognition: exploring representations and inductive biases. Trends in Cognitive Sciences. 14: 357-64. PMID 20576465 DOI: 10.1016/J.Tics.2010.05.004  0.641
2010 Kemp C, Tenenbaum JB, Niyogi S, Griffiths TL. A probabilistic model of theory formation. Cognition. 114: 165-96. PMID 19892328 DOI: 10.1016/J.Cognition.2009.09.003  0.67
2010 Sanborn AN, Griffiths TL, Shiffrin RM. Uncovering mental representations with Markov chain Monte Carlo. Cognitive Psychology. 60: 63-106. PMID 19703686 DOI: 10.1016/j.cogpsych.2009.07.001  0.77
2010 Austerweil JL, Griffiths TL. Understanding how people learn the features of objects as Bayesian inference Journal of Vision. 10: 1107-1107. DOI: 10.1167/10.7.1107  0.696
2010 Blei DM, Griffiths TL, Jordan MI. The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies Journal of the Acm. 57. DOI: 10.1145/1667053.1667056  0.323
2010 Rosen-Zvi M, Chemudugunta C, Griffiths T, Smyth P, Steyvers M. Learning author-topic models from text corpora Acm Transactions On Information Systems. 28. DOI: 10.1145/1658377.1658381  0.348
2010 Griffiths TL, Tenenbaum JB. Two Proposals for Causal Grammars Causal Learning: Psychology, Philosophy, and Computation. DOI: 10.1093/acprof:oso/9780195176803.003.0021  0.417
2010 Tenenbaum JB, Griffiths TL, Niyogi S. Intuitive Theories as Grammars for Causal Inference Causal Learning: Psychology, Philosophy, and Computation. DOI: 10.1093/acprof:oso/9780195176803.003.0020  0.427
2010 Austerweil JL, Griffiths TL. Learning invariant features using the Transformed Indian Buffet Process Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 0.674
2010 Canini KR, Shashkov MM, Griffiths TL. Modeling transfer learning in human categorization with the hierarchical Dirichlet process Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 151-158.  0.797
2009 Feldman NH, Griffiths TL, Morgan JL. The influence of categories on perception: explaining the perceptual magnet effect as optimal statistical inference. Psychological Review. 116: 752-82. PMID 19839683 DOI: 10.1037/A0017196  0.326
2009 Griffiths TL, Tenenbaum JB. Theory-based causal induction. Psychological Review. 116: 661-716. PMID 19839681 DOI: 10.1037/a0017201  0.598
2009 Goldwater S, Griffiths TL, Johnson M. A Bayesian framework for word segmentation: exploring the effects of context. Cognition. 112: 21-54. PMID 19409539 DOI: 10.1016/J.Cognition.2009.03.008  0.319
2009 Sanborn AN, Griffiths TL. Markov chain Monte Carlo with people Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.653
2009 Griffiths TL, Lucas CG, Williams JJ, Kalish ML. Modeling human function learning with Gaussian processes Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 553-560.  0.641
2009 Austerweil JL, Griffiths TL. Analyzing human feature learning as nonparametric Bayesian inference Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 97-104.  0.674
2009 Lucas CG, Griffiths TL, Xu F, Fawcett C. A rational model of preference learning and choice prediction by children Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 985-992.  0.467
2009 Canini KR, Shi L, Griffiths TL. Online inference of topics with latent dirichlet allocation Journal of Machine Learning Research. 5: 65-72.  0.778
2008 Goodman ND, Tenenbaum JB, Feldman J, Griffiths TL. A rational analysis of rule-based concept learning. Cognitive Science. 32: 108-54. PMID 21635333 DOI: 10.1080/03640210701802071  0.742
2008 Smith K, Kalish ML, Griffiths TL, Lewandowsky S. Introduction. Cultural transmission and the evolution of human behaviour. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 363: 3469-76. PMID 18799420 DOI: 10.1098/Rstb.2008.0147  0.641
2008 Navarro DJ, Griffiths TL. Latent features in similarity judgments: a nonparametric bayesian approach. Neural Computation. 20: 2597-628. PMID 18533818 DOI: 10.1162/Neco.2008.04-07-504  0.331
2008 Dowman M, Savova V, Griffiths TL, Körding KP, Tenenbaum JB, Purver M. A probabilistic model of meetings that combines words and discourse features Ieee Transactions On Audio, Speech and Language Processing. 16: 1238-1248. DOI: 10.1109/TASL.2008.925867  0.667
2007 Iwata T, Saito K, Ueda N, Stromsten S, Griffiths TL, Tenenbaum JB. Parametric embedding for class visualization. Neural Computation. 19: 2536-56. PMID 17650069 DOI: 10.1162/neco.2007.19.9.2536  0.449
2007 Griffiths TL, Steyvers M, Tenenbaum JB. Topics in semantic representation. Psychological Review. 114: 211-44. PMID 17500626 DOI: 10.1037/0033-295X.114.2.211  0.544
2007 Kirby S, Dowman M, Griffiths TL. Innateness and culture in the evolution of language. Proceedings of the National Academy of Sciences of the United States of America. 104: 5241-5. PMID 17360393 DOI: 10.1073/Pnas.0608222104  0.619
2007 Griffiths TL, Tenenbaum JB. From mere coincidences to meaningful discoveries. Cognition. 103: 180-226. PMID 16678145 DOI: 10.1016/j.cognition.2006.03.004  0.547
2006 Griffiths TL, Tenenbaum JB. Optimal predictions in everyday cognition. Psychological Science. 17: 767-73. PMID 16984293 DOI: 10.1111/j.1467-9280.2006.01780.x  0.555
2006 Tenenbaum JB, Griffiths TL, Kemp C. Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences. 10: 309-18. PMID 16797219 DOI: 10.1016/J.Tics.2006.05.009  0.675
2006 Griffiths T, Tenenbaum J. Statistics and the Bayesian mind Significance. 3: 130-133. DOI: 10.1111/j.1740-9713.2006.00185.x  0.532
2006 Wood F, Griffiths TL, Ghahramani Z. A non-parametric Bayesian method for inferring hidden causes Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 536-543.  0.462
2006 Mansinghka VK, Kemp C, Tenenbaum JB, Griffiths TL. Structured priors for structure learning Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 324-331.  0.592
2006 Purver M, Körding KP, Griffiths TL, Tenenbaum JB. Unsupervised topic modelling for multi-party spoken discourse Coling/Acl 2006 - 21st International Conference On Computational Linguistics and 44th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 1: 17-24.  0.474
2006 Kemp C, Tenenbaum JB, Griffiths TL, Yamada T, Ueda N. Learning systems of concepts with an infinite relational model Proceedings of the National Conference On Artificial Intelligence. 1: 381-388.  0.616
2005 Griffiths TL, Tenenbaum JB. Structure and strength in causal induction. Cognitive Psychology. 51: 334-84. PMID 16168981 DOI: 10.1016/j.cogpsych.2005.05.004  0.579
2005 Griffiths TL, Ghahramani Z. Infinite latent feature models and the Indian buffet process Advances in Neural Information Processing Systems. 475-482.  0.476
2005 Griffiths TL, Steyvers M, Blei DM, Tenenbaum JB. Integrating topics and syntax Advances in Neural Information Processing Systems 0.387
2004 Kemp C, Griffiths TL, Stromsten S, Tenenbaum JB. Semi-supervised learning with trees Advances in Neural Information Processing Systems 0.602
2004 Blei DM, Griffiths TL, Jordan MI, Tenenbaum JB. Hierarchical topic models and the nested Chinese restaurant process Advances in Neural Information Processing Systems 0.459
2004 Griffiths TL, Tenenbaum JB. From algorithmic to subjective randomness Advances in Neural Information Processing Systems 0.409
2003 Tenenbaum JB, Griffiths TL. Theory-based causal inference Advances in Neural Information Processing Systems 0.425
2002 Griffiths TL, Tenenbaum JB. Using vocabulary knowledge in Bayesian multinomial estimation Advances in Neural Information Processing Systems 0.442
2001 Tenenbaum JB, Griffiths TL. Generalization, similarity, and Bayesian inference. The Behavioral and Brain Sciences. 24: 629-40; discussion 6. PMID 12048947 DOI: 10.1017/S0140525X01000061  0.55
2001 Tenenbaum JB, Griffiths TL. Some specifics about generalization Behavioral and Brain Sciences. 24: 762-791. DOI: 10.1017/S0140525X01780089  0.557
2001 Tenenbaum JB, Griffiths TL. Structure learning in human causal induction Advances in Neural Information Processing Systems 0.501
Show low-probability matches.