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Nicholas Baker - Publications

Affiliations: 
University of California, Los Angeles, Los Angeles, CA 
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15 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 Kellman PJ, Baker N, Garrigan P, Phillips A, Lu H. For deep networks, the whole equals the sum of the parts. The Behavioral and Brain Sciences. 46: e396. PMID 38054331 DOI: 10.1017/S0140525X23001541  0.707
2023 Baker N, Garrigan P, Phillips A, Kellman PJ. Configural relations in humans and deep convolutional neural networks. Frontiers in Artificial Intelligence. 5: 961595. PMID 36937367 DOI: 10.3389/frai.2022.961595  0.702
2023 Baker N, Kellman PJ. Independent mechanisms for processing local contour features and global shape. Journal of Experimental Psychology. General. PMID 36913287 DOI: 10.1037/xge0001349  0.6
2022 Baker N, Elder JH. Deep learning models fail to capture the configural nature of human shape perception. Iscience. 25: 104913. PMID 36060067 DOI: 10.1016/j.isci.2022.104913  0.504
2021 Baker N, Kellman PJ. Constant curvature modeling of abstract shape representation. Plos One. 16: e0254719. PMID 34339436 DOI: 10.1371/journal.pone.0254719  0.612
2020 Baker N, Garrigan P, Kellman PJ. Constant curvature segments as building blocks of 2D shape representation. Journal of Experimental Psychology. General. PMID 33332142 DOI: 10.1037/xge0001007  0.748
2020 Baker N, Lu H, Erlikhman G, Kellman PJ. Local features and global shape information in object classification by deep convolutional neural networks. Vision Research. 172: 46-61. PMID 32413803 DOI: 10.1016/J.Visres.2020.04.003  0.796
2019 Baker N, Kellman PJ. Constant Curvature Representations of Contour Shape Journal of Vision. 19: 94-94. DOI: 10.1167/19.10.94  0.626
2019 Kellman PJ, Erlikhman G, Baker N, Lu H. Recursive Networks Reveal Illusory Contour Classification Images Journal of Vision. 19: 241a. DOI: 10.1167/19.10.241A  0.748
2018 Baker N, Lu H, Erlikhman G, Kellman PJ. Deep convolutional networks do not classify based on global object shape. Plos Computational Biology. 14: e1006613. PMID 30532273 DOI: 10.1371/Journal.Pcbi.1006613  0.772
2018 Baker N, Kellman PJ. Abstract shape representation in human visual perception. Journal of Experimental Psychology. General. PMID 29629783 DOI: 10.1037/Xge0000409  0.647
2018 Baker N, Lu H, Erlikhman G, Kellman P. Deep Convolutional Networks do not Make Classifications Based on Global Object Shape Journal of Vision. 18: 904. DOI: 10.1167/18.10.904  0.776
2017 Kellman P, Baker N, Erlikhman G, Lu H. Classification Images Reveal that Deep Learning Networks Fail to Perceive Illusory Contours Journal of Vision. 17: 569. DOI: 10.1167/17.10.569  0.759
2017 Baker N, Kellman P. Psychophysical Investigations into Skeletal Shape Representations Journal of Vision. 17: 1379-1379. DOI: 10.1167/17.10.1379  0.626
2016 Baker N, Kellman P. Temporal Properties of Abstract Shape Representation Journal of Vision. 16: 789-789. DOI: 10.1167/16.12.789  0.599
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