Michael J. Lee

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with James J. DiCarlo

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Publications

2023
[j4]
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Michael J. Lee, James J. DiCarlo:
How well do rudimentary plasticity rules predict adult visual object learning? PLoS Comput. Biol. 19(12) (2023)
[c9]
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  - conf/nips/GazivLD23
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Guy Gaziv, Michael J. Lee, James J. DiCarlo:
Strong and Precise Modulation of Human Percepts via Robustified ANNs. NeurIPS 2023
[i3]
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  - journals/corr/abs-2308-06887
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Guy Gaziv, Michael J. Lee, James J. DiCarlo:
Robustified ANNs Reveal Wormholes Between Human Category Percepts. CoRR abs/2308.06887 (2023)
2022
[c8]
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  - conf/icml/GuoLLDRMD22
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Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo:
Adversarially trained neural representations are already as robust as biological neural representations. ICML 2022: 8072-8081
[i2]
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  - journals/corr/abs-2206-11228
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Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo:
Adversarially trained neural representations may already be as robust as corresponding biological neural representations. CoRR abs/2206.11228 (2022)

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