| Year |
Citation |
Score |
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
0.8 |
|
| 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 |
1 |
|
| 2019 |
Schwettmann S, Tenenbaum JB, Kanwisher N. Invariant representations of mass in the human brain. Elife. 8. PMID 31845887 DOI: 10.7554/eLife.46619 |
1 |
|
| 2019 |
Bolton AD, Haesemeyer M, Jordi J, Schaechtle U, Saad FA, Mansinghka VK, Tenenbaum JB, Engert F. Elements of a stochastic 3D prediction engine in larval zebrafish prey capture. Elife. 8. PMID 31769753 DOI: 10.7554/eLife.51975 |
0.92 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
0.76 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2018 |
Bramley NR, Gerstenberg T, Tenenbaum JB, Gureckis TM. Intuitive experimentation in the physical world. Cognitive Psychology. 105: 9-38. PMID 29885534 DOI: 10.1016/j.cogpsych.2018.05.001 |
0.4 |
|
| 2018 |
Hartshorne JK, Tenenbaum JB, Pinker S. A critical period for second language acquisition: Evidence from 2/3 million English speakers. Cognition. PMID 29729947 DOI: 10.1016/j.cognition.2018.04.007 |
0.4 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2018 |
Lake BM, Lawrence ND, Tenenbaum JB. The Emergence of Organizing Structure in Conceptual Representation. Cognitive Science. PMID 29315735 DOI: 10.1111/cogs.12580 |
0.8 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
0.8 |
|
| 2017 |
Gerstenberg T, Peterson MF, Goodman ND, Lagnado DA, Tenenbaum JB. Eye-Tracking Causality. Psychological Science. 956797617713053. PMID 29039251 DOI: 10.1177/0956797617713053 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2017 |
Kleiman-Weiner M, Saxe R, Tenenbaum JB. Learning a commonsense moral theory. Cognition. PMID 28351662 DOI: 10.1016/j.cognition.2017.03.005 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2015 |
Lake BM, Salakhutdinov R, Tenenbaum JB. Human-level concept learning through probabilistic program induction. Science (New York, N.Y.). 350: 1332-8. PMID 26659050 DOI: 10.1126/science.aab3050 |
1 |
|
| 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 |
1 |
|
| 2015 |
Hartshorne JK, O'Donnell TJ, Tenenbaum JB. The Causes and Consequences Explicit in Verbs. Language, Cognition and Neuroscience. 30: 716-734. PMID 26052518 DOI: 10.1080/23273798.2015.1008524 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2015 |
Gershman SJ, Tenenbaum JB, Jäkel F. Discovering hierarchical motion structure. Vision Research. PMID 25818905 DOI: 10.1016/j.visres.2015.03.004 |
0.8 |
|
| 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 |
1 |
|
| 2015 |
Gerken L, Dawson C, Chatila R, Tenenbaum J. Surprise! Infants consider possible bases of generalization for a single input example. Developmental Science. 18: 80-9. PMID 24703007 DOI: 10.1111/desc.12183 |
1 |
|
| 2015 |
Huggins JH, Tenenbaum JB. Risk and regret of hierarchical Bayesian learners 32nd International Conference On Machine Learning, Icml 2015. 2: 1442-1451. |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2014 |
Lin D, Dechter E, Ellis K, Tenenbaum J, Muggleton S. Bias reformulation for one-shot function induction Frontiers in Artificial Intelligence and Applications. 263: 525-530. DOI: 10.3233/978-1-61499-419-0-525 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2014 |
Lloyd JR, Duvenaud D, Grosse R, Tenenbaum JB, Ghahramani Z. Automatic construction and natural-language description of nonparametric regression models Proceedings of the National Conference On Artificial Intelligence. 2: 1242-1250. |
1 |
|
| 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 |
1 |
|
| 2013 |
Salakhutdinov R, Tenenbaum JB, Torralba A. Learning with hierarchical-deep models. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1958-71. PMID 23787346 DOI: 10.1109/TPAMI.2012.269 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2013 |
Brady TF, Tenenbaum JB. A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates. Psychological Review. 120: 85-109. PMID 23230888 DOI: 10.1037/a0030779 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2013 |
Oppenheimer DM, Tenenbaum JB, Krynski TR. Categorization as Causal Explanation. Discounting and Augmenting in a Bayesian Framework. Psychology of Learning and Motivation - Advances in Research and Theory. 58: 203-231. DOI: 10.1016/B978-0-12-407237-4.00006-2 |
1 |
|
| 2013 |
Dechter E, Malmaud J, Adams RP, Tenenbaum JB. Bootstrap learning via modular concept discovery Ijcai International Joint Conference On Artificial Intelligence. 1302-1309. |
1 |
|
| 2013 |
Mansinghka VK, Kulkarni TD, Perov YN, Tenenbaum JB. Approximate Bayesian image interpretation using generative probabilistic graphics programs Advances in Neural Information Processing Systems. |
1 |
|
| 2013 |
Lake BM, Salakhutdinov R, Tenenbaum JB. One-shot learning by inverting a compositional causal process Advances in Neural Information Processing Systems. |
1 |
|
| 2013 |
Duvenaud D, Lloyd JR, Grosse R, Tenenbaum JB, Ghahramani Z. Structure discovery in nonparametric regression through compositional kernel search 30th International Conference On Machine Learning, Icml 2013. 2203-2211. |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2012 |
Gershman SJ, Vul E, Tenenbaum JB. Multistability and perceptual inference. Neural Computation. 24: 1-24. PMID 22023198 DOI: 10.1162/NECO_a_00226 |
1 |
|
| 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 |
1 |
|
| 2012 |
Griffiths TL, Tenenbaum JB, Kemp C. Bayesian Inference The Oxford Handbook of Thinking and Reasoning. DOI: 10.1093/oxfordhb/9780199734689.013.0003 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2012 |
Grosse RB, Salakhutdinov R, Freeman WT, Tenenbaum JB. Exploiting compositionality to explore a large space of model structures Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, Uai 2012. 306-315. |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2011 |
Téglás E, Vul E, Girotto V, Gonzalez M, Tenenbaum JB, Bonatti LL. Pure reasoning in 12-month-old infants as probabilistic inference. Science (New York, N.Y.). 332: 1054-9. PMID 21617069 DOI: 10.1126/science.1196404 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2011 |
Goodman ND, Ullman TD, Tenenbaum JB. Learning a theory of causality. Psychological Review. 118: 110-9. PMID 21244189 DOI: 10.1037/a0021336 |
1 |
|
| 2011 |
Perfors A, Tenenbaum JB, Regier T. The learnability of abstract syntactic principles. Cognition. 118: 306-38. PMID 21186021 DOI: 10.1016/j.cognition.2010.11.001 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2011 |
Salakhutdinov R, Torralba A, Tenenbaum J. Learning to share visual appearance for multiclass object detection Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1481-1488. DOI: 10.1109/CVPR.2011.5995720 |
1 |
|
| 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 |
1 |
|
| 2011 |
Salakhutdinov R, Tenenbaum JB, Torralba A. Learning to learn with compound HD models Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
1 |
|
| 2011 |
Doshi-Velez F, Wingate D, Tenenbaum J, Roy N. Infinite dynamic bayesian networks Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 913-920. |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2010 |
Perfors A, Tenenbaum JB, Wonnacott E. Variability, negative evidence, and the acquisition of verb argument constructions. Journal of Child Language. 37: 607-42. PMID 20367896 DOI: 10.1017/S0305000910000012 |
1 |
|
| 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 |
1 |
|
| 2010 |
Griffiths TL, Tenenbaum JB. Two Proposals for Causal Grammars Causal Learning: Psychology, Philosophy, and Computation. DOI: 10.1093/acprof:oso/9780195176803.003.0021 |
1 |
|
| 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 |
1 |
|
| 2010 |
Ishiguro K, Iwata T, Ueda N, Tenenbaum J. Dynamic infinite relational model for time-varying relational data analysis Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
1 |
|
| 2010 |
Doshi-Velez F, Wingate D, Roy N, Tenenbaum J. Nonparametric Bayesian policy priors for reinforcement learning Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
1 |
|
| 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. |
1 |
|
| 2009 |
Foraker S, Regier T, Khetarpal N, Perfors A, Tenenbaum J. Indirect evidence and the poverty of the stimulus: the case of anaphoric one. Cognitive Science. 33: 287-300. PMID 21585472 DOI: 10.1111/j.1551-6709.2009.01014.x |
1 |
|
| 2009 |
Griffiths TL, Tenenbaum JB. Theory-based causal induction. Psychological Review. 116: 661-716. PMID 19839681 DOI: 10.1037/a0017201 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2009 |
Kemp C, Tenenbaum JB. Structured statistical models of inductive reasoning. Psychological Review. 116: 20-58. PMID 19159147 DOI: 10.1037/a0014282 |
1 |
|
| 2009 |
Sutskever I, Salakhutdinov R, Tenenbaum JB. Modelling relational data using Bayesian clustered tensor factorization Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1821-1828. |
1 |
|
| 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. |
1 |
|
| 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. |
1 |
|
| 2009 |
Mansinghka V, Roy D, Jonas E, Tenenbaum J. Exact and approximate sampling by systematic stochastic search Journal of Machine Learning Research. 5: 400-407. |
1 |
|
| 2009 |
Kemp C, Goodman ND, Tenenbaum JB. Learning and using relational theories Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
1 |
|
| 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. |
1 |
|
| 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. |
1 |
|
| 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. |
1 |
|
| 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 |
1 |
|
| 2008 |
Tenenbaum JB. Joshua B. Tenenbaum: Award for Distinguished Scientific Early Career Contributions to Psychology American Psychologist. 63: 693-695. PMID 19014223 DOI: 10.1037/0003-066X.63.8.693 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2008 |
Kemp C, Tenenbaum JB. Structured models of semantic cognition Behavioral and Brain Sciences. 31: 717-718. DOI: 10.1017/S0140525X08005931 |
1 |
|
| 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. |
1 |
|
| 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 |
1 |
|
| 2007 |
Krynski TR, Tenenbaum JB. The role of causality in judgment under uncertainty. Journal of Experimental Psychology. General. 136: 430-50. PMID 17696692 DOI: 10.1037/0096-3445.136.3.430 |
1 |
|
| 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 |
1 |
|
| 2007 |
Xu F, Tenenbaum JB. Word learning as Bayesian inference. Psychological Review. 114: 245-72. PMID 17500627 DOI: 10.1037/0033-295X.114.2.245 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2007 |
Xu F, Tenenbaum JB. Sensitivity to sampling in Bayesian word learning. Developmental Science. 10: 288-97. PMID 17444970 DOI: 10.1111/j.1467-7687.2007.00590.x |
1 |
|
| 2007 |
Gopnik A, Tenenbaum JB. Bayesian networks, Bayesian learning and cognitive development. Developmental Science. 10: 281-7. PMID 17444969 DOI: 10.1111/j.1467-7687.2007.00584.x |
1 |
|
| 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 |
1 |
|
| 2007 |
Körding KP, Tenenbaum JB. Causal inference in sensorimotor integration Advances in Neural Information Processing Systems. 737-744. |
1 |
|
| 2007 |
Körding KP, Tenenbaum JB, Shadmehr R. Multiple timescales and uncertainty in motor adaptation Advances in Neural Information Processing Systems. 745-752. |
1 |
|
| 2007 |
Roy DM, Kemp C, Mansinghka VK, Tenenbaum JB. Learning annotated hierarchies from relational data Advances in Neural Information Processing Systems. 1185-1192. |
1 |
|
| 2007 |
Kemp C, Shafto P, Berke A, Tenenbaum JB. Combining causal and similarity-based reasoning Advances in Neural Information Processing Systems. 681-688. |
1 |
|
| 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 |
1 |
|
| 2006 |
Chater N, Tenenbaum JB, Yuille A. Probabilistic models of cognition: conceptual foundations. Trends in Cognitive Sciences. 10: 287-91. PMID 16807064 DOI: 10.1016/j.tics.2006.05.007 |
1 |
|
| 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 |
1 |
|
| 2006 |
Chater N, Tenenbaum JB, Yuille A. Probabilistic models of cognition: where next? Trends in Cognitive Sciences. 10: 292-3. PMID 16781886 DOI: 10.1016/j.tics.2006.05.008 |
1 |
|
| 2006 |
Griffiths T, Tenenbaum J. Statistics and the Bayesian mind Significance. 3: 130-133. DOI: 10.1111/j.1740-9713.2006.00185.x |
1 |
|
| 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. |
1 |
|
| 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. |
1 |
|
| 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. |
1 |
|
| 2005 |
Steyvers M, Tenenbaum JB. The large-scale structure of semantic networks: statistical analyses and a model of semantic growth. Cognitive Science. 29: 41-78. PMID 21702767 DOI: 10.1207/s15516709cog2901_3 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2005 |
Baker CL, Tenenbaum JB, Saxe RR. Bayesian models of human action understanding Advances in Neural Information Processing Systems. 99-106. |
1 |
|
| 2005 |
Griffiths TL, Steyvers M, Blei DM, Tenenbaum JB. Integrating topics and syntax Advances in Neural Information Processing Systems. |
1 |
|
| 2004 |
Sobel DM, Tenenbaum JB, Gopnik A. Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers Cognitive Science. 28: 303-333. DOI: 10.1016/j.cogsci.2003.11.001 |
1 |
|
| 2004 |
Kemp C, Griffiths TL, Stromsten S, Tenenbaum JB. Semi-supervised learning with trees Advances in Neural Information Processing Systems. |
1 |
|
| 2004 |
Blei DM, Griffiths TL, Jordan MI, Tenenbaum JB. Hierarchical topic models and the nested Chinese restaurant process Advances in Neural Information Processing Systems. |
1 |
|
| 2004 |
Griffiths TL, Tenenbaum JB. From algorithmic to subjective randomness Advances in Neural Information Processing Systems. |
1 |
|
| 2003 |
Sharma J, Dragoi V, Tenenbaum JB, Miller EK, Sur M. V1 neurons signal acquisition of an internal representation of stimulus location. Science (New York, N.Y.). 300: 1758-63. PMID 12805552 DOI: 10.1126/science.1081721 |
1 |
|
| 2003 |
Sanjana NE, Tenenbaum JB. Bayesian models of inductive generalization Advances in Neural Information Processing Systems. |
1 |
|
| 2003 |
Tenenbaum JB, Griffiths TL. Theory-based causal inference Advances in Neural Information Processing Systems. |
1 |
|
| 2003 |
De Silva V, Tenenbaum JB. Global versus local methods in nonlinear dimensionality reduction Advances in Neural Information Processing Systems. |
1 |
|
| 2002 |
Griffiths TL, Tenenbaum JB. Using vocabulary knowledge in Bayesian multinomial estimation Advances in Neural Information Processing Systems. |
1 |
|
| 2001 |
Xu F, Tenenbaum JB. Rational statistical inference: A critical component for word learning. The Behavioral and Brain Sciences. 24: 1123-1124. PMID 18241416 DOI: 10.1017/S0140525X01430135 |
0.48 |
|
| 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 |
1 |
|
| 2001 |
Tenenbaum JB, Griffiths TL. Some specifics about generalization Behavioral and Brain Sciences. 24: 762-791. DOI: 10.1017/S0140525X01780089 |
1 |
|
| 2001 |
Xu F, Tenenbaum JB. Rational statistical inference: A critical component for word learning Behavioral and Brain Sciences. 24: 1123-1124. |
1 |
|
| 2001 |
Tenenbaum JB, Griffiths TL. Structure learning in human causal induction Advances in Neural Information Processing Systems. |
1 |
|
| 2000 |
Tenenbaum JB, de Silva V, Langford JC. A global geometric framework for nonlinear dimensionality reduction. Science (New York, N.Y.). 290: 2319-23. PMID 11125149 DOI: 10.1126/science.290.5500.2319 |
1 |
|
| 2000 |
Tenenbaum JB, Freeman WT. Separating style and content with bilinear models. Neural Computation. 12: 1247-83. PMID 10935711 |
1 |
|
| 1999 |
Tenenbaum JB. Bayesian modeling of human concept learning Advances in Neural Information Processing Systems. 59-65. |
1 |
|
| 1998 |
Tenenbaum JB. Mapping a manifold of perceptual observations Advances in Neural Information Processing Systems. 682-688. |
1 |
|
| 1997 |
Freeman WT, Tenenbaum JB. Learning bilinear models for two-factor problems in vision Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 554-560. |
1 |
|
| Show low-probability matches. |
