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Joshua Tenenbaum - Publications

Affiliations: 
Massachusetts Institute of Technology, Cambridge, MA, United States 
Area:
Computation & Theory
Website:
http://web.mit.edu/cocosci/josh.html

138 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
2023 Yildirim I, Siegel MH, Soltani AA, Ray Chaudhuri S, Tenenbaum JB. Perception of 3D shape integrates intuitive physics and analysis-by-synthesis. Nature Human Behaviour. PMID 37996497 DOI: 10.1038/s41562-023-01759-7  0.508
2023 De Freitas J, Uğuralp AK, Oğuz-Uğuralp Z, Paul LA, Tenenbaum J, Ullman TD. Self-orienting in human and machine learning. Nature Human Behaviour. PMID 37653146 DOI: 10.1038/s41562-023-01696-5  0.721
2023 Hawkins RD, Berdahl AM, Pentland A', Tenenbaum JB, Goodman ND, Krafft PM. Flexible social inference facilitates targeted social learning when rewards are not observable. Nature Human Behaviour. PMID 37591983 DOI: 10.1038/s41562-023-01682-x  0.685
2023 Houlihan SD, Kleiman-Weiner M, Hewitt LB, Tenenbaum JB, Saxe R. Emotion prediction as computation over a generative theory of mind. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 381: 20220047. PMID 37271174 DOI: 10.1098/rsta.2022.0047  0.779
2023 Burnell R, Schellaert W, Burden J, Ullman TD, Martinez-Plumed F, Tenenbaum JB, Rutar D, Cheke LG, Sohl-Dickstein J, Mitchell M, Kiela D, Shanahan M, Voorhees EM, Cohn AG, Leibo JZ, et al. Rethink reporting of evaluation results in AI. Science (New York, N.Y.). 380: 136-138. PMID 37053341 DOI: 10.1126/science.adf6369  0.676
2022 Liu S, Pepe B, Ganesh Kumar M, Ullman TD, Tenenbaum JB, Spelke ES. Dangerous Ground: One-Year-Old Infants are Sensitive to Peril in Other Agents' Action Plans. Open Mind : Discoveries in Cognitive Science. 6: 211-231. PMID 36439074 DOI: 10.1162/opmi_a_00063  0.754
2022 Pelz MC, Allen KR, Tenenbaum JB, Schulz LE. Foundations of intuitive power analyses in children and adults. Nature Human Behaviour. PMID 36065061 DOI: 10.1038/s41562-022-01427-2  0.452
2022 Pramod RT, Cohen MA, Tenenbaum JB, Kanwisher N. Invariant representation of physical stability in the human brain. Elife. 11. PMID 35635277 DOI: 10.7554/eLife.71736  0.498
2022 Tessler MH, Tenenbaum JB, Goodman ND. Logic, Probability, and Pragmatics in Syllogistic Reasoning. Topics in Cognitive Science. PMID 35005842 DOI: 10.1111/tops.12593  0.774
2021 Schrimpf M, Blank IA, Tuckute G, Kauf C, Hosseini EA, Kanwisher N, Tenenbaum JB, Fedorenko E. The neural architecture of language: Integrative modeling converges on predictive processing. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 34737231 DOI: 10.1073/pnas.2105646118  0.512
2021 Kryven M, Ullman TD, Cowan W, Tenenbaum JB. Plans or Outcomes: How Do We Attribute Intelligence to Others? Cognitive Science. 45: e13041. PMID 34490914 DOI: 10.1111/cogs.13041  0.723
2021 Sosa FA, Ullman T, Tenenbaum JB, Gershman SJ, Gerstenberg T. Moral dynamics: Grounding moral judgment in intuitive physics and intuitive psychology. Cognition. 217: 104890. PMID 34487974 DOI: 10.1016/j.cognition.2021.104890  0.746
2021 Siegel MH, Magid RW, Pelz M, Tenenbaum JB, Schulz LE. Children's exploratory play tracks the discriminability of hypotheses. Nature Communications. 12: 3598. PMID 34127657 DOI: 10.1038/s41467-021-23431-2  0.451
2021 Gerstenberg T, Goodman ND, Lagnado DA, Tenenbaum JB. A counterfactual simulation model of causal judgments for physical events. Psychological Review. PMID 34096754 DOI: 10.1037/rev0000281  0.624
2021 Wu SA, Wang RE, Evans JA, Tenenbaum JB, Parkes DC, Kleiman-Weiner M. Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. Topics in Cognitive Science. PMID 33829670 DOI: 10.1111/tops.12525  0.74
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  0.629
2020 Rule JS, Tenenbaum JB, Piantadosi ST. The Child as Hacker. Trends in Cognitive Sciences. PMID 33012688 DOI: 10.1016/j.tics.2020.07.005  0.529
2020 Levine S, Kleiman-Weiner M, Schulz L, Tenenbaum J, Cushman F. The logic of universalization guides moral judgment. Proceedings of the National Academy of Sciences of the United States of America. PMID 33008885 DOI: 10.1073/pnas.2014505117  0.784
2020 Jara-Ettinger J, Schulz LE, Tenenbaum JB. The Naïve Utility Calculus as a unified, quantitative framework for action understanding. Cognitive Psychology. 123: 101334. PMID 32738590 DOI: 10.1016/J.Cogpsych.2020.101334  0.769
2020 Sheskin M, Scott K, Mills CM, Bergelson E, Bonawitz E, Spelke ES, Fei-Fei L, Keil FC, Gweon H, Tenenbaum JB, Jara-Ettinger J, Adolph KE, Rhodes M, Frank MC, Mehr SA, et al. Online Developmental Science to Foster Innovation, Access, and Impact. Trends in Cognitive Sciences. PMID 32624386 DOI: 10.1016/J.Tics.2020.06.004  0.767
2020 Dasgupta I, Schulz E, Tenenbaum JB, Gershman SJ. A theory of learning to infer. Psychological Review. 127: 412-441. PMID 32223286 DOI: 10.1037/Rev0000178  0.609
2020 Yildirim I, Belledonne M, Freiwald W, Tenenbaum J. Efficient inverse graphics in biological face processing. Science Advances. 6: eaax5979. PMID 32181338 DOI: 10.1126/Sciadv.Aax5979  0.696
2019 Schwettmann S, Tenenbaum JB, Kanwisher N. Invariant representations of mass in the human brain. Elife. 8. PMID 31845887 DOI: 10.7554/Elife.46619  0.788
2019 Awad E, Levine S, Kleiman-Weiner M, Dsouza S, Tenenbaum JB, Shariff A, Bonnefon JF, Rahwan I. Drivers are blamed more than their automated cars when both make mistakes. Nature Human Behaviour. PMID 31659321 DOI: 10.1038/S41562-019-0762-8  0.699
2019 Gao T, Baker CL, Tang N, Xu H, Tenenbaum JB. The Cognitive Architecture of Perceived Animacy: Intention, Attention, and Memory. Cognitive Science. 43: e12775. PMID 31446655 DOI: 10.1111/Cogs.12775  0.514
2019 Bonawitz E, Ullman TD, Bridgers S, Gopnik A, Tenenbaum JB. Sticking to the Evidence? A Behavioral and Computational Case Study of Micro-Theory Change in the Domain of Magnetism. Cognitive Science. 43: e12765. PMID 31446650 DOI: 10.1111/cogs.12765  0.733
2019 Bates CJ, Yildirim I, Tenenbaum JB, Battaglia P. Modeling human intuitions about liquid flow with particle-based simulation. Plos Computational Biology. 15: e1007210. PMID 31329579 DOI: 10.1371/Journal.Pcbi.1007210  0.754
2019 Jara-Ettinger J, Floyd S, Huey H, Tenenbaum JB, Schulz LE. Social Pragmatics: Preschoolers Rely on Commonsense Psychology to Resolve Referential Underspecification. Child Development. PMID 31301068 DOI: 10.1111/Cdev.13290  0.744
2019 Rahwan I, Cebrian M, Obradovich N, Bongard J, Bonnefon JF, Breazeal C, Crandall JW, Christakis NA, Couzin ID, Jackson MO, Jennings NR, Kamar E, Kloumann IM, Larochelle H, Lazer D, ... ... Tenenbaum JB, et al. Machine behaviour. Nature. 568: 477-486. PMID 31019318 DOI: 10.1038/s41586-019-1138-y  0.433
2019 Yildirim I, Wu J, Kanwisher N, Tenenbaum J. An integrative computational architecture for object-driven cortex. Current Opinion in Neurobiology. 55: 73-81. PMID 30825704 DOI: 10.1016/J.Conb.2019.01.010  0.665
2018 Gerstenberg T, Ullman TD, Nagel J, Kleiman-Weiner M, Lagnado DA, Tenenbaum JB. Lucky or clever? From expectations to responsibility judgments. Cognition. 177: 122-141. PMID 29677593 DOI: 10.1016/j.cognition.2018.03.019  0.786
2018 Ullman TD, Stuhlmüller A, Goodman ND, Tenenbaum JB. Learning physical parameters from dynamic scenes. Cognitive Psychology. 104: 57-82. PMID 29653395 DOI: 10.1016/J.Cogpsych.2017.05.006  0.812
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  0.736
2018 Jara-Ettinger J, Sun F, Schulz L, Tenenbaum JB. Sensitivity to the Sampling Process Emerges From the Principle of Efficiency. Cognitive Science. PMID 29451315 DOI: 10.1111/Cogs.12596  0.787
2018 Schwettmann S, Fischer J, Tenenbaum J, Kanwisher N. Neural representation of the intuitive physical dimension of mass Journal of Vision. 18: 731. DOI: 10.1167/18.10.731  0.767
2017 Lake BM, Ullman TD, Tenenbaum JB, Gershman SJ. Ingredients of intelligence: From classic debates to an engineering roadmap. The Behavioral and Brain Sciences. 40: e281. PMID 29342708 DOI: 10.1017/S0140525X17001224  0.793
2017 Liu S, Ullman TD, Tenenbaum JB, Spelke ES. Ten-month-old infants infer the value of goals from the costs of actions. Science (New York, N.Y.). 358: 1038-1041. PMID 29170232 DOI: 10.1126/Science.Aag2132  0.762
2017 Schulz E, Tenenbaum JB, Duvenaud D, Speekenbrink M, Gershman SJ. Compositional inductive biases in function learning. Cognitive Psychology. 99: 44-79. PMID 29154187 DOI: 10.1016/J.Cogpsych.2017.11.002  0.563
2017 Gerstenberg T, Peterson MF, Goodman ND, Lagnado DA, Tenenbaum JB. Eye-Tracking Causality. Psychological Science. 956797617713053. PMID 29039251 DOI: 10.1177/0956797617713053  0.575
2017 Wu Y, Baker CL, Tenenbaum JB, Schulz LE. Rational Inference of Beliefs and Desires From Emotional Expressions. Cognitive Science. PMID 28986938 DOI: 10.1111/Cogs.12548  0.626
2017 Jara-Ettinger J, Floyd S, Tenenbaum JB, Schulz LE. Children Understand That Agents Maximize Expected Utilities. Journal of Experimental Psychology. General. PMID 28714711 DOI: 10.1037/Xge0000345  0.746
2017 Ullman TD, Spelke E, Battaglia P, Tenenbaum JB. Mind Games: Game Engines as an Architecture for Intuitive Physics. Trends in Cognitive Sciences. PMID 28655498 DOI: 10.1016/j.tics.2017.05.012  0.793
2017 Magid RW, Yan P, Siegel MH, Tenenbaum JB, Schulz LE. Changing minds: Children's inferences about third party belief revision. Developmental Science. PMID 28497524 DOI: 10.1111/Desc.12553  0.482
2017 Kleiman-Weiner M, Saxe R, Tenenbaum JB. Learning a commonsense moral theory. Cognition. PMID 28351662 DOI: 10.1016/j.cognition.2017.03.005  0.804
2016 Lake BM, Ullman TD, Tenenbaum JB, Gershman SJ. Building Machines That Learn and Think Like People. The Behavioral and Brain Sciences. 1-101. PMID 27881212 DOI: 10.1017/S0140525X16001837  0.798
2016 Jara-Ettinger J, Gweon H, Schulz LE, Tenenbaum JB. The Naïve Utility Calculus: Computational Principles Underlying Commonsense Psychology: (Trends in Cognitive Sciences 20, 589-604; July 19, 2016). Trends in Cognitive Sciences. PMID 27612984 DOI: 10.1016/J.Tics.2016.08.007  0.711
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  0.796
2016 Fischer J, Mikhael JG, Tenenbaum JB, Kanwisher N. Functional neuroanatomy of intuitive physical inference. Proceedings of the National Academy of Sciences of the United States of America. PMID 27503892 DOI: 10.1073/pnas.1610344113  0.518
2016 Jara-Ettinger J, Gweon H, Schulz LE, Tenenbaum JB. The Naïve Utility Calculus: Computational Principles Underlying Commonsense Psychology. Trends in Cognitive Sciences. PMID 27388875 DOI: 10.1016/J.Tics.2016.05.011  0.755
2016 Piantadosi ST, Tenenbaum JB, Goodman ND. The Logical Primitives of Thought: Empirical Foundations for Compositional Cognitive Models. Psychological Review. PMID 27077241 DOI: 10.1037/A0039980  0.72
2016 Tervo DG, Tenenbaum JB, Gershman SJ. Toward the neural implementation of structure learning. Current Opinion in Neurobiology. 37: 99-105. PMID 26874471 DOI: 10.1016/j.conb.2016.01.014  0.597
2015 Gershman SJ, Horvitz EJ, Tenenbaum JB. Computational rationality: A converging paradigm for intelligence in brains, minds, and machines. Science (New York, N.Y.). 349: 273-8. PMID 26185246 DOI: 10.1126/science.aac6076  0.562
2015 Jara-Ettinger J, Tenenbaum JB, Schulz LE. Not so innocent: toddlers' inferences about costs and culpability. Psychological Science. 26: 633-40. PMID 25870405 DOI: 10.1177/0956797615572806  0.729
2015 Jara-Ettinger J, Gweon H, Tenenbaum JB, Schulz LE. Children's understanding of the costs and rewards underlying rational action. Cognition. 140: 14-23. PMID 25867996 DOI: 10.1016/J.Cognition.2015.03.006  0.744
2015 Gershman SJ, Tenenbaum JB, Jäkel F. Discovering hierarchical motion structure. Vision Research. PMID 25818905 DOI: 10.1016/j.visres.2015.03.004  0.741
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  0.781
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  0.667
2014 Pantelis PC, Baker CL, Cholewiak SA, Sanik K, Weinstein A, Wu CC, Tenenbaum JB, Feldman J. Inferring the intentional states of autonomous virtual agents. Cognition. 130: 360-79. PMID 24389312 DOI: 10.1016/J.Cognition.2013.11.011  0.594
2014 Gao T, Tenenbaum J, Kanwisher N. What are you looking at?: The acuity of joint attention Journal of Vision. 14: 1273-1273. DOI: 10.1167/14.10.1273  0.46
2014 Frank MC, Tenenbaum JB. Corrigendum to "Three ideal observer models for rule learning in simple languages" [Cognition 120 (3) (2011) 360-371] Cognition. 132: 501. DOI: 10.1016/J.Cognition.2014.03.003  0.501
2014 Baker CL, Tenenbaum JB. Modeling Human Plan Recognition Using Bayesian Theory of Mind Plan, Activity, and Intent Recognition: Theory and Practice. 177-204. DOI: 10.1016/B978-0-12-398532-3.00007-5  0.494
2013 Battaglia PW, Hamrick JB, Tenenbaum JB. Simulation as an engine of physical scene understanding. Proceedings of the National Academy of Sciences of the United States of America. 110: 18327-32. PMID 24145417 DOI: 10.1073/Pnas.1306572110  0.794
2013 Kiley Hamlin J, Ullman T, Tenenbaum J, Goodman N, Baker C. The mentalistic basis of core social cognition: experiments in preverbal infants and a computational model. Developmental Science. 16: 209-26. PMID 23432831 DOI: 10.1111/Desc.12017  0.785
2013 Frank MC, Tenenbaum JB, Gibson E. Learning and long-term retention of large-scale artificial languages. Plos One. 8: e52500. PMID 23300975 DOI: 10.1371/Journal.Pone.0052500  0.589
2013 Frank MC, Tenenbaum JB, Gibson E. Correction: Learning and long-term retention of large-scale artificial languages (PLoS ONE) Plos One. 8. DOI: 10.1371/Annotation/Fcf19F94-5F2C-4A5F-9A6F-3D880Bcdd850  0.567
2013 Frank MC, Tenenbaum JB, Fernald A. Social and Discourse Contributions to the Determination of Reference in Cross-Situational Word Learning Language Learning and Development. 9: 1-24. DOI: 10.1080/15475441.2012.707101  0.48
2012 Piantadosi ST, Tenenbaum JB, Goodman ND. Bootstrapping in a language of thought: a formal model of numerical concept learning. Cognition. 123: 199-217. PMID 22284806 DOI: 10.1016/J.Cognition.2011.11.005  0.703
2012 Kemp C, Shafto P, Tenenbaum JB. An integrated account of generalization across objects and features. Cognitive Psychology. 64: 35-73. PMID 22088778 DOI: 10.1016/J.Cogpsych.2011.10.001  0.698
2012 Gershman SJ, Vul E, Tenenbaum JB. Multistability and perceptual inference. Neural Computation. 24: 1-24. PMID 22023198 DOI: 10.1162/NECO_a_00226  0.554
2012 Hamrick J, Battaglia P, Tenenbaum J. Physics knowledge aids object perception in dynamic scenes Journal of Vision. 12: 591-591. DOI: 10.1167/12.9.591  0.77
2012 Battaglia P, Hamrick J, Tenenbaum J. Intuitive mechanics in visual reasoning about complex scenes with unknown forces Journal of Vision. 12: 590-590. DOI: 10.1167/12.9.590  0.74
2012 Bonawitz E, Ullman T, Gopnik A, Tenenbaum J. Sticking to the evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012. DOI: 10.1109/DevLrn.2012.6400815  0.688
2012 Griffiths TL, Tenenbaum JB, Kemp C. Bayesian Inference The Oxford Handbook of Thinking and Reasoning. DOI: 10.1093/oxfordhb/9780199734689.013.0003  0.593
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  0.721
2012 Ullman TD, Goodman ND, Tenenbaum JB. Theory learning as stochastic search in the language of thought Cognitive Development. 27: 455-480. DOI: 10.1016/J.Cogdev.2012.07.005  0.621
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  0.528
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  0.519
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  0.756
2011 Shafto P, Kemp C, Mansinghka V, Tenenbaum JB. A probabilistic model of cross-categorization. Cognition. 120: 1-25. PMID 21377146 DOI: 10.1016/J.Cognition.2011.02.010  0.719
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  0.506
2011 Goodman ND, Ullman TD, Tenenbaum JB. Learning a theory of causality. Psychological Review. 118: 110-9. PMID 21244189 DOI: 10.1037/A0021336  0.803
2011 Frank MC, Tenenbaum JB. Three ideal observer models for rule learning in simple languages. Cognition. 120: 360-71. PMID 21130985 DOI: 10.1016/J.Cognition.2010.10.005  0.532
2011 Wingate D, Goodman ND, Roy DM, Kaelbling LP, Tenenbaum JB. Bayesian policy search with policy priors Ijcai International Joint Conference On Artificial Intelligence. 1565-1570. DOI: 10.5591/978-1-57735-516-8/IJCAI11-263  0.495
2011 Battaglia P, Hamrick J, Tenenbaum J. Human stability perception implies sophisticated knowledge of physical dynamics Journal of Vision. 11: 60-60. DOI: 10.1167/11.11.60  0.769
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  0.714
2010 Kemp C, Goodman ND, Tenenbaum JB. Learning to learn causal models. Cognitive Science. 34: 1185-243. PMID 21564248 DOI: 10.1111/J.1551-6709.2010.01128.X  0.687
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  0.626
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  0.597
2010 Gweon H, Tenenbaum JB, Schulz LE. Infants consider both the sample and the sampling process in inductive generalization. Proceedings of the National Academy of Sciences of the United States of America. 107: 9066-71. PMID 20435914 DOI: 10.1073/Pnas.1003095107  0.47
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  0.648
2010 Frank M, Kenney A, Goodman N, Tenenbaum J, Torralba A, Oliva A. Predicting object and scene descriptions with an information-theoretic model of pragmatics Journal of Vision. 10: 1241-1241. DOI: 10.1167/10.7.1241  0.692
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  0.451
2010 Henderson L, Goodman ND, Tenenbaum JB, Woodward JF. The structure and dynamics of scientific theories: A hierarchical bayesian perspective Philosophy of Science. 77: 172-200. DOI: 10.1086/651319  0.593
2009 Griffiths TL, Tenenbaum JB. Theory-based causal induction. Psychological Review. 116: 661-716. PMID 19839681 DOI: 10.1037/a0017201  0.56
2009 Baker CL, Saxe R, Tenenbaum JB. Action understanding as inverse planning. Cognition. 113: 329-49. PMID 19729154 DOI: 10.1016/J.Cognition.2009.07.005  0.688
2009 Frank MC, Goodman ND, Tenenbaum JB. Using speakers' referential intentions to model early cross-situational word learning. Psychological Science. 20: 578-85. PMID 19389131 DOI: 10.1111/J.1467-9280.2009.02335.X  0.69
2009 Kemp C, Tenenbaum JB. Structured statistical models of inductive reasoning. Psychological Review. 116: 20-58. PMID 19159147 DOI: 10.1037/A0014282  0.495
2009 Frank MC, Goodman ND, Tenenbaum JB. A Bayesian framework for cross-situational word-learning Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.668
2009 Gershman SJ, Vul E, Tenenbaum JB. Perceptual multistability as Markov Chain Monte Carlo inference Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 611-619.  0.492
2009 Kemp C, Goodman ND, Tenenbaum JB. Learning and using relational theories Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.656
2009 Ullman TD, Baker CL, Macindoe O, Evans O, Goodman ND, Tenenbaum JB. Help or hinder: Bayesian models of social goal inference Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1874-1882.  0.659
2009 Wingate D, Goodman ND, Roy DM, Tenenbaum JB. The Infinite Latent Events Model Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 607-614.  0.547
2009 Vul E, Frank MC, Tenenbaum JB, Alvarez G. Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1955-1963.  0.491
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  0.757
2008 Shafto P, Kemp C, Bonawitz EB, Coley JD, Tenenbaum JB. Inductive reasoning about causally transmitted properties. Cognition. 109: 175-92. PMID 18952205 DOI: 10.1016/J.Cognition.2008.07.006  0.812
2008 Schulz LE, Goodman ND, Tenenbaum JB, Jenkins AC. Going beyond the evidence: abstract laws and preschoolers' responses to anomalous data. Cognition. 109: 211-23. PMID 18930186 DOI: 10.1016/J.Cognition.2008.07.017  0.692
2008 Kemp C, Tenenbaum JB. The discovery of structural form. Proceedings of the National Academy of Sciences of the United States of America. 105: 10687-92. PMID 18669663 DOI: 10.1073/Pnas.0802631105  0.485
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  0.625
2008 Kemp C, Tenenbaum JB. Structured models of semantic cognition Behavioral and Brain Sciences. 31: 717-718. DOI: 10.1017/S0140525X08005931  0.432
2008 Goodman ND, Mansinghka VK, Roy D, Bonawitz K, Tenenbaum JB. Church: A language for generative models Proceedings of the 24th Conference On Uncertainty in Artificial Intelligence, Uai 2008. 220-229.  0.547
2007 Körding KP, Beierholm U, Ma WJ, Quartz S, Tenenbaum JB, Shams L. Causal inference in multisensory perception. Plos One. 2: e943. PMID 17895984 DOI: 10.1371/journal.pone.0000943  0.524
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  0.454
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  0.479
2007 Kording KP, Tenenbaum JB, Shadmehr R. The dynamics of memory as a consequence of optimal adaptation to a changing body. Nature Neuroscience. 10: 779-86. PMID 17496891 DOI: 10.1038/nn1901  0.478
2007 Kemp C, Perfors A, Tenenbaum JB. Learning overhypotheses with hierarchical Bayesian models. Developmental Science. 10: 307-21. PMID 17444972 DOI: 10.1111/J.1467-7687.2007.00585.X  0.496
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  0.517
2007 Körding KP, Tenenbaum JB, Shadmehr R. Multiple timescales and uncertainty in motor adaptation Advances in Neural Information Processing Systems. 745-752.  0.421
2007 Roy DM, Kemp C, Mansinghka VK, Tenenbaum JB. Learning annotated hierarchies from relational data Advances in Neural Information Processing Systems. 1185-1192.  0.431
2007 Kemp C, Shafto P, Berke A, Tenenbaum JB. Combining causal and similarity-based reasoning Advances in Neural Information Processing Systems. 681-688.  0.687
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  0.482
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  0.651
2006 Griffiths T, Tenenbaum J. Statistics and the Bayesian mind Significance. 3: 130-133. DOI: 10.1111/j.1740-9713.2006.00185.x  0.469
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.  0.578
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.  0.468
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.  0.604
2005 Saxe R, Tenenbaum JB, Carey S. Secret agents: inferences about hidden causes by 10- and 12-month-old infants. Psychological Science. 16: 995-1001. PMID 16313665 DOI: 10.1111/j.1467-9280.2005.01649.x  0.5
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  0.528
2005 Baker CL, Tenenbaum JB, Saxe RR. Bayesian models of human action understanding Advances in Neural Information Processing Systems. 99-106.  0.655
2005 Griffiths TL, Steyvers M, Blei DM, Tenenbaum JB. Integrating topics and syntax Advances in Neural Information Processing Systems 0.377
2004 Kemp C, Griffiths TL, Stromsten S, Tenenbaum JB. Semi-supervised learning with trees Advances in Neural Information Processing Systems 0.581
2004 Blei DM, Griffiths TL, Jordan MI, Tenenbaum JB. Hierarchical topic models and the nested Chinese restaurant process Advances in Neural Information Processing Systems 0.439
2004 Griffiths TL, Tenenbaum JB. From algorithmic to subjective randomness Advances in Neural Information Processing Systems 0.377
2003 Tenenbaum JB, Griffiths TL. Theory-based causal inference Advances in Neural Information Processing Systems 0.452
2002 Griffiths TL, Tenenbaum JB. Using vocabulary knowledge in Bayesian multinomial estimation Advances in Neural Information Processing Systems 0.427
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  0.503
2001 Tenenbaum JB, Griffiths TL. Some specifics about generalization Behavioral and Brain Sciences. 24: 762-791. DOI: 10.1017/S0140525X01780089  0.494
2001 Tenenbaum JB, Griffiths TL. Structure learning in human causal induction Advances in Neural Information Processing Systems 0.486
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