Andrew Joohun Nam

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	All	Since 2019
Citations	658	650
h-index	5	4
i10-index	4	4

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Allison KoeneckeAsst. Prof., Cornell UniversityVerified email at cornell.edu
Sharad GoelProfessor of Public Policy, Harvard UniversityVerified email at hks.harvard.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
James L. McClellandStanford UniversityVerified email at stanford.edu
Zachary A. PardosAssociate Professor at UC BerkeleyVerified email at berkeley.edu
Andrew Kyle LampinenResearch Scientist, DeepMindVerified email at google.com
Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
Mengye RenNYUVerified email at nyu.edu
Tobias GerstenbergStanford UniversityVerified email at stanford.edu
Thomas IcardStanford UniversityVerified email at stanford.edu

Andrew Joohun Nam

Stanford University

Verified email at stanford.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Racial disparities in automated speech recognition A Koenecke, A Nam, E Lake, J Nudell, M Quartey, Z Mengesha, C Toups, ... Proceedings of the National Academy of Sciences 117 (14), 7684-7689, 2020	589	2020
A university map of course knowledge ZA Pardos, AJH Nam PloS one 15 (9), e0233207, 2020	33*	2020
Passive learning of active causal strategies in agents and language models A Lampinen, S Chan, I Dasgupta, A Nam, J Wang Advances in Neural Information Processing Systems 36, 2024	10	2024
What underlies rapid learning and systematic generalization in humans AJ Nam, JL McClelland Preprint at http://arxiv. org/abs/2107.06994, 2021	10	2021
The school of information and its relationship to computer science at UC Berkeley ZA Pardos, AJH Nam iConference 2017 Proceedings, 2017	7	2017
Show and tell: Learning causal structures from observations and explanations A Nam, C Hughes, T Icard, T Gerstenberg Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023	3	2023
Learning to reason with relational abstractions AJ Nam, M Ren, C Finn, JL McClelland arXiv preprint arXiv:2210.02615, 2022	3	2022
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers AJ Nam, M Abdool, T Maxfield, JL McClelland arXiv preprint arXiv:2210.03275, 2022	2	2022
Continual learning and out of distribution generalization in a systematic reasoning task M Abdool, AJ Nam, JL McClelland MATH-AI: The 3rd Workshop on Mathematical Reasoning and AI at NeurIPS 23, 2023	1	2023
Discrete, compositional, and symbolic representations through attractor dynamics A Nam, E Elmoznino, N Malkin, C Sun, Y Bengio, G Lajoie arXiv preprint arXiv:2310.01807, 2023		2023

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