Joseph L. Austerweil

University of California, Berkeley, Berkeley, CA 
 Linguistics Brown University, Providence, RI 
Cognition, Computational
"Joseph Austerweil"
Cross-listing: Neurotree


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Thomas L. Griffiths grad student 2007-2012 UC Berkeley (Neurotree)
 (Constructing flexible feature representations using nonparametric Bayesian inference.)
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Griffiths TL, Daniels D, Austerweil JL, et al. (2018) Subjective randomness as statistical inference. Cognitive Psychology. 103: 85-109
Austerweil JL, Griffiths TL, Palmer SE. (2016) Learning to Be (In)variant: Combining Prior Knowledge and Experience to Infer Orientation Invariance in Object Recognition. Cognitive Science
Cibelli E, Xu Y, Austerweil JL, et al. (2016) The Sapir-Whorf Hypothesis and Probabilistic Inference: Evidence from the Domain of Color. Plos One. 11: e0158725
Abbott JT, Austerweil JL, Griffiths TL. (2015) Random walks on semantic networks can resemble optimal foraging. Psychological Review. 122: 558-69
Cohen Priva U, Austerweil JL. (2015) Analyzing the history of Cognition using Topic Models. Cognition. 135: 4-9
Austerweil JL. (2015) Contradictory "heuristic" theories of autism spectrum disorders: the case for theoretical precision using computational models. Autism : the International Journal of Research and Practice. 19: 367-8
Prinzmetal W, Whiteford KL, Austerweil JL, et al. (2015) Spatial Attention and Environmental Information Journal of Experimental Psychology: Human Perception and Performance
Austerweil JL, Griffiths TL. (2013) A nonparametric Bayesian framework for constructing flexible feature representations. Psychological Review. 120: 817-51
Jia Y, Abbott J, Austerweil J, et al. (2013) Visual concept learning: Combining machine vision and Bayesian generalization on concept hierarchies Advances in Neural Information Processing Systems
Griffiths TL, Austerweil JL. (2012) Bayesian generalization with circular consequential regions Journal of Mathematical Psychology. 56: 281-285
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