Year |
Citation |
Score |
2023 |
Zemla JC, Gooding DC, Austerweil JL. Evidence for optimal semantic search throughout adulthood. Scientific Reports. 13: 22528. PMID 38110643 DOI: 10.1038/s41598-023-49858-9 |
0.744 |
|
2021 |
Sanborn AN, Heller K, Austerweil JL, Chater N. REFRESH: A new approach to modeling dimensional biases in perceptual similarity and categorization. Psychological Review. PMID 34516151 DOI: 10.1037/rev0000310 |
0.653 |
|
2021 |
Ho MK, Cushman F, Littman ML, Austerweil JL. Communication in action: Planning and interpreting communicative demonstrations. Journal of Experimental Psychology. General. PMID 34498911 DOI: 10.1037/xge0001035 |
0.724 |
|
2020 |
Lange KV, Hopman EWM, Zemla JC, Austerweil JL. Evidence against a relation between bilingualism and creativity. Plos One. 15: e0234928. PMID 32579582 DOI: 10.1371/Journal.Pone.0234928 |
0.761 |
|
2020 |
Zemla JC, Cao K, Mueller KD, Austerweil JL. SNAFU: The Semantic Network and Fluency Utility. Behavior Research Methods. PMID 32128696 DOI: 10.3758/S13428-019-01343-W |
0.733 |
|
2019 |
Austerweil JL, Sanborn S, Griffiths TL. Learning How to Generalize. Cognitive Science. 43: e12777. PMID 31446666 DOI: 10.1111/cogs.12777 |
0.547 |
|
2019 |
Zemla JC, Austerweil JL. Analyzing Knowledge Retrieval Impairments Associated with Alzheimer's Disease Using Network Analyses. Complexity. 2019. PMID 31341377 DOI: 10.1155/2019/4203158 |
0.765 |
|
2019 |
Ho MK, Cushman F, Littman ML, Austerweil JL. People teach with rewards and punishments as communication, not reinforcements. Journal of Experimental Psychology. General. 148: 520-549. PMID 30802127 DOI: 10.1037/xge0000569 |
0.722 |
|
2018 |
Zemla JC, Austerweil JL. Estimating semantic networks of groups and individuals from fluency data. Computational Brain & Behavior. 1: 36-58. PMID 31179436 DOI: 10.1007/s42113-018-0003-7 |
0.757 |
|
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 |
0.618 |
|
2017 |
Zemla JC, Austerweil JL. Modeling Semantic Fluency Data as Search on a Semantic Network. Cogsci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference. 2017: 3646-3651. PMID 29399665 |
0.769 |
|
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 |
0.544 |
|
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 |
0.579 |
|
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 |
0.7 |
|
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 |
0.56 |
|
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. |
0.447 |
|
2012 |
Griffiths TL, Austerweil JL. Bayesian generalization with circular consequential regions Journal of Mathematical Psychology. 56: 281-285. DOI: 10.1016/j.jmp.2012.07.002 |
0.483 |
|
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. |
0.547 |
|
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 |
0.552 |
|
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 |
0.511 |
|
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. |
0.426 |
|
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 |
0.534 |
|
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. |
0.449 |
|
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. |
0.473 |
|
2007 |
Elsner M, Austerweil J, Charniak E. A unified local and global model for discourse coherence Naacl Hlt 2007 - Human Language Technologies 2007: the Conference of the North American Chapter of the Association For Computational Linguistics, Proceedings of the Main Conference. 436-443. |
0.569 |
|
2006 |
Charniak E, Johnson M, Elsner M, Austerweil J, Ellis D, Haxton I, Hill C, Shrivaths R, Moore J, Pozar M, Vu T. Multilevel coarse-to-fine PCFG parsing Hlt-Naacl 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference. 168-175. |
0.549 |
|
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