Joshua B. Tenenbaum (tenenbaum-jb)
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Perceptual Learning, Categorical Perception, and Cognitive PermeationContributi a Philosophie.ch
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Bibliography
Goodman, Noah D., Tenenbaum, Joshua B. and Gerstenberg, Tobias. 2015. “Concepts in a Probabilistic Language of Thought.” in The Conceptual Mind. New Direction in the Study of Concepts, edited by Eric Margolis and Stephen Laurence, pp. 623–654. Cambridge, Massachusetts: The MIT Press.
Griffiths, Thomas L. and Tenenbaum, Joshua B. 2007. “Two Proposals for Causal Grammars.” in Causal Learning: Psychology, Philosophy and Computation, edited by Alison Gopnik and Laura Schulz, pp. 323–346. Oxford: Oxford University Press.
Salakhutdinov, Ruslan, Tenenbaum, Joshua B. and Torralba, Antonio. 2013. “Learning with Hierarchical-Deep Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence 35(8): 1958–1971, doi:10.1109/TPAMI.2012.269.
Tenenbaum, Joshua B., Griffiths, Thomas L. and Niyogi, Sourabh. 2007. “Intuitive Theories as Grammars for Causal Inference.” in Causal Learning: Psychology, Philosophy and Computation, edited by Alison Gopnik and Laura Schulz, pp. 301–322. Oxford: Oxford University Press.
Yildirim, Ilker, Kulkarni, Tejas D., Freiwald, Winrich A. and Tenenbaum, Joshua B. 2015. “Efficient and Robust Analysis-by-Synthesis in Vision: A Computational Framework, Behavioral Tests, and Modeling Neuronal Representations.” Paper presented at the Annual Conference of the Cognitive Science Society, https://cbmm.mit.edu/sites/default/files/publications/yildirimetal_cogsci15.pdf.